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s11739-023-03456-911.pdf

Vol.:(0123456789)1 3

Internal and Emergency Medicine (2024) 19:619–640 https://doi.org/10.1007/s11739-023-03456-9

IM - REVIEW

Influenza vaccination for elderly, vulnerable and high‑risk subjects: a narrative review and expert opinion

Raffaele Antonelli Incalzi1 · Agostino Consoli2 · Pierluigi Lopalco3 · Stefania Maggi4 · Giorgio Sesti5  · Nicola Veronese6 · Massimo Volpe7

Received: 7 June 2023 / Accepted: 8 October 2023 / Published online: 27 October 2023 © The Author(s) 2023

Abstract Influenza is associated with a substantial health burden, especially in high-risk subjects such as older adults, frail individuals and those with underlying chronic diseases. In this review, we summarized clinical findings regarding the impact of influenza in vulnerable populations, highlighted the benefits of influenza vaccination in preventing severe illness and complications and reviewed the main evidence on the efficacy, effectiveness and safety of the vaccines that are best suited to older adults among those available in Italy. The adverse outcomes associated with influenza infection in elderly and frail subjects and those with underlying chronic diseases are well documented in the literature, as are the benefits of vaccination (mostly in older adults and in patients with cardiovascular diseases, diabetes and chronic lung disease). High-dose and adjuvanted inactivated influenza vaccines were specifically developed to provide enhanced immune responses in older adults, who generally have low responses mainly due to immunosenescence, comorbidities and frailty. These vaccines have been evaluated in clinical studies and systematic reviews by international immunization advisory boards, including the European Centre for Disease Prevention and Control. The high-dose vaccine is the only licensed influenza vaccine to have demonstrated greater efficacy versus a standard-dose vaccine in preventing laboratory-confirmed influenza in a randomized controlled trial. Despite global recommendations, the vaccination coverage in high-risk populations is still suboptimal. All healthcare professionals (includ- ing specialists) have an important role in increasing vaccination rates.

Keywords Influenza · Burden of disease · Influenza vaccines · Aged · Cardiovascular diseases · Diabetes mellitus · Chronic diseases

* Giorgio Sesti [email protected]

Raffaele Antonelli Incalzi [email protected]

Agostino Consoli [email protected]

Pierluigi Lopalco [email protected]

Stefania Maggi [email protected]

Nicola Veronese [email protected]

Massimo Volpe [email protected]

1 Gerontology Unit, Department of Internal Medicine and Geriatrics, Campus Bio-Medico University and Teaching Hospital, Rome, Italy

2 Department of Medicine and Aging Sciences, “G. d’Annunzio” University, Chieti, Italy

3 Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy

4 Institute of Neuroscience-Aging Branch, National Research Council, Padua, Italy

5 Department of Clinical and Molecular Medicine, “La Sapienza” University of Rome, Rome, Italy

6 Department of Internal Medicine, Geriatrics Section, University of Palermo, Palermo, Italy

7 Department of Clinical and Molecular Medicine, “La Sapienza” University of Rome and IRCCS San Raffaele, Rome, Italy

620 Internal and Emergency Medicine (2024) 19:619–640

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Abbreviations adj-IIV MF59®-adjuvanted inactivated influ-

enza vaccine AMI Acute myocardial infarction ARI Acute respiratory illness BMI Body mass index cc-IIV Cell culture-based inactivated influ-

enza vaccine CDC Centers for disease control and

prevention CI Confidence interval CV Cardiovascular CVD Cardiovascular disease COPD Chronic obstructive pulmonary disease DALY Disability-adjusted life years ECDC European Centre for Disease Control

and Prevention ESRD End-stage renal disease GRADE Grade of Recommendations, Assess-

ment, Development and Evaluation HA Hemagglutinin HR Hazard ratio HD-IIV High-dose inactivated influenza

vaccine HF Heart failure IAMI Influenza vaccination after myocardial

infarction study ICU Intensive care unit IHD Ischemic heart disease ILI Influenza-like illness IR Incidence ratio IVVE Influenza vaccine in patients with heart

failure to reduce adverse cardiovascu- lar events study

MACE Major adverse cardiovascular events MI Myocardial infarction PARADIGM-HF Prospective comparison of ARNI with

ACEI to determine impact on global mortality and morbidity in heart fail- ure study

OR Odds ratio RCT Randomized controlled trial RIV Recombinant influenza vaccine RR Relative risk/risk ratio RTI Respiratory tract infection SCA Sudden cardiac arrest SD-IIV Standard-dose inactivated influenza

vaccine VE/rVE Vaccine effectiveness/relative vaccine

effectiveness WHO World Health Organization

Introduction

Influenza infection is a leading cause of morbidity and mor- tality worldwide, with a substantial health burden. Though typically characterized by pyrexia, myalgia and respiratory tract infection symptoms that generally resolve quickly, sea- sonal influenza infection may also occur as a severe and life-threatening disease requiring hospitalization, depending on viral- and host-related factors [1]. Morbidity and mortal- ity are greatly increased by secondary bacterial infections or co-infections, and bacterial pneumonia (most commonly caused by infection or co-infection with Streptococcus pneu- moniae, Staphylococcus aureus or Haemophilus influenzae) is one of the most common sequelae of influenza and main causes of death. The clinical burden of influenza extends beyond pulmonary complications and may involve other organs and systems, resulting in a range of pathological manifestations such as cardiovascular (CV) events, worsen- ing of functional decline and chronic underlying conditions, myositis or rhabdomyolysis and neurological complications [2, 3]. According to data from the Burden of Communica- ble Diseases in Europe study, influenza was the infectious disease with the highest burden, being responsible for 81.8 median annual disability-adjusted life years (DALYs) per 100,000 population, with subjects aged ≥ 65 years showing the highest group-specific annual burden [4]. Notably, the clinical burden of influenza disproportionately impacts the most vulnerable individuals, such as older adults and sub- jects with multimorbidity or immunodeficiency of any age. Risk factors associated with increased morbidity and mortal- ity from influenza include age (increased risk of death and hospitalization in subjects aged ≥ 65 years, increased risk of hospitalization in children aged < 5 years), pregnancy, chronic non-communicable disease, immunocompromised state, any medical comorbidity and genetic susceptibility [2]. The Italian Ministry of Health has identified a specific group of subjects as being at high risk for influenza-related complications or hospitalization (see Box in Supplementary Information) [5].

Vaccination is the most effective method for prevention and control of influenza. Evaluation of an influenza vac- cine’s benefits for regulatory purposes should include assess- ment of immunogenicity (although there is no established correlation between immunological parameters and protec- tion against influenza) and efficacy (i.e., the degree to which a vaccine prevents disease, and possibly also transmission, in ideal and controlled circumstances, and therefore meas- ured by randomized controlled trials assessing the reduc- tion in rates of laboratory-confirmed influenza) or effective- ness (i.e., how well the vaccine performs in the real world, therefore mostly observational studies that also assess other end points such as hospitalization and influenza-related

621Internal and Emergency Medicine (2024) 19:619–640

1 3

pneumonia or mortality, often using a test-negative design). Rigorously conducted studies with a prospective, double- blind, randomized, controlled design are considered the gold standard for assessment of efficacy, and it is important to analyze all available evidence with a standardized and validated methodology. The World Health Organization (WHO) Global Influenza Surveillance and Response Sys- tem monitors circulating influenza viruses around the world and updates the composition of vaccines twice yearly [6]. Vaccine efficacy/effectiveness is optimal when the vaccine strains match seasonal circulating strains [2]. Older, vulner- able and high-risk individuals exhibit the greatest benefit from vaccination [7–12]. Despite evidence of the benefits of influenza vaccination and global health authorities’ recom- mendations, vaccination rates remain below target among high-risk subjects. Awareness of the impact of influenza and the benefits of vaccination in high-risk populations appears to be somewhat suboptimal also among healthcare profes- sionals [13], who are seldom actively promoting vaccination.

In this article, we summarized the most relevant find- ings of studies that examined the risk of adverse outcomes associated with influenza in selected high-risk populations, documenting the benefits of vaccination in averting these outcomes, and reviewed the most recent evidence about efficacy, effectiveness and safety of the vaccines available in Italy that are specifically indicated for the elderly popula- tion. The aim of this review is to highlight the benefits of vaccination in high-risk groups and advise clinicians and decision makers about the vaccine types best suited to older adults and high-risk populations, based on evidence from the literature and the opinion of a panel of clinicians with expertise in different areas of medicine.

Methods

A broad literature search was conducted on PubMed for arti- cles in English language published in the past 10 years per- taining to each of the topics covered in this review. Search terms (all linked with ‘influenza’) included ‘epidemiology’, ‘elderly’, ‘disease burden’, ‘immunosenescence’, ‘frailty’ ‘cardiovascular disease’, ‘diabetes’, ‘pulmonary disease’, ‘respiratory illness’, ‘kidney disease’, ‘liver disease’ ‘vacci- nation’, ‘vaccine effectiveness’, ‘high-dose vaccines’, ‘stand- ard-dose vaccines’ and ‘enhanced vaccines’. The most rel- evant articles were then selected and their list of references hand searched for additional publications of interest to be included. The online sites of major international and Italian health authorities (including WHO, US Centers for Disease Control and Prevention [CDC], European Centre for Disease Control and Prevention [ECDC] and Italian Health Ministry) were also checked for up-to-date information pertaining to influenza epidemiology and immunization strategies.

Impact of influenza on high‑risk populations and benefits of vaccination

Among high-risk conditions associated with influenza infec- tion, we focused on older age/frailty, CV diseases and stroke, diabetes mellitus and chronic respiratory, renal and liver diseases. For each condition, we briefly reviewed the bio- logical mechanisms underlying the increased risk of adverse outcomes, as well as the most relevant epidemiological and clinical data regarding the impact of influenza and the ben- efits of vaccination. Although we reviewed each high-risk group separately for the sake of clarity, multimorbidity is highly prevalent (especially in older adults) and risk fac- tors often overlap. Detailed information about the efficacy, effectiveness and safety of different vaccine types will be provided in the next section.

Older age and frailty

Elderly subjects are unanimously recognized as being at higher risk for influenza-related complications, hospitali- zation and death compared with young, healthy adults. It has been estimated that, in recent years, 70–85% of sea- sonal deaths and 50–70% of hospitalizations associated with influenza have occurred in subjects aged ≥ 65 years, and 309 cases of hospitalization per 100,000 person-years have been reported in this age group [1, 14]. Globally, the estimated mean annual influenza-associated excess respir- atory mortality rate ranged from 2.9 to 44.0 per 100,000 persons for subjects aged 65–74 years and from 17.9 to 223.5 per 100,000 for those aged ≥ 75 years, compared with a rate of 0.1–6.4 per 100,000 for subjects aged < 65 years [15]. In a meta-analysis of 234 studies that investigated risk factors for severe or complicated influenza, older age was associated with the highest risk of death during both sea- sonal and pandemic influenza [16]. In Italy, the Goldstein index-based excess mortality rate, estimated for influenza seasons from 2013 to 2017, was three- to sixfold higher in subjects aged ≥ 65 years compared with the general popula- tion, ranging from 65.0 to 147.3 per 100,000 persons in the elderly versus 11.6–41.2 per 100,000 persons in the gen- eral population [17]. Among the factors responsible for the increased risk of influenza-related adverse outcomes in the elderly population, a major role is played by frailty (a state of increased vulnerability to stress factors) [18], multimor- bidity and immunosenescence. Frailty and chronic diseases are highly prevalent in the elderly population and are asso- ciated with an increased incidence of infections and their complications [19]. During recent epidemics in the USA, nine out of ten people hospitalized with influenza had at least one underlying health condition [14]. Age-related immune changes (both in the innate and adaptive immune

622 Internal and Emergency Medicine (2024) 19:619–640

1 3

system), collectively described as immunosenescence and inflammaging, are characterized by disruptions in immune cells activity and biomolecular patterns that induce a less effective immune response to new antigens, such as infec- tive agents and vaccines [19–23]. As reviewed by Vetrano et al. [19], frailty, infections and immunity are interdepend- ent, creating a vicious circle where frailty fosters infections and vice versa, with an altered immune function impairing defense mechanisms. However, reserves in immune function still exist in the elderly population that can be exploited by developing new types of vaccines, such as those containing higher antigen doses or adjuvants [23, 24]. In frail elderly subjects, acute infections such as influenza and second- ary bacterial pneumonia affect both physical and cognitive function through multiple mechanisms (i.e., inflammatory response in various organs and systems, prolonged immo- bilization, decreased nutritional and caloric intake, hypoxia) [3, 19, 25]. In fact, an often underappreciated consequence of influenza in older adults is accelerated functional decline, often leading to loss of independence [3, 25]. Pneumonia has also been associated with an increased risk of dementia [19].

Influenza vaccination in older individuals

Literature data regarding the benefits of influenza vaccina- tion in older adults are somewhat controversial, reflecting a variability in vaccine effectiveness that depends on several factors, including virus or vaccine types and host-related factors (i.e., comorbidities and frailty) [14, 26, 27]. In gen- eral, there is limited information about protection from hos- pitalization or mortality in vaccinated versus unvaccinated frail older individuals. Vaccination of elderly subjects with traditional standard-dose vaccines is considered to confer low to moderate protection against influenza and associated adverse outcomes, and there is evidence of a weaker immune response and reduced vaccine effectiveness in older versus younger individuals [23, 28]. The latest Cochrane Review on influenza vaccination in the elderly suggests a vaccine efficacy of 58% against laboratory-confirmed influenza and of 41% against influenza-like illness (ILI) over a single season [26]. Methodological concerns about confounding by indication are often a matter of debate in observational studies of vaccine effectiveness and have been explored in recent investigations [29, 30]. In a register-based study con- ducted over eight consecutive influenza seasons from 2012 to 2020, confounder-adjusted estimates of vaccine effective- ness against laboratory-confirmed influenza in the elderly population in Finland ranged from 16 to 48% [30]. Several systematic reviews, meta-analyses, case–control and cohort studies have documented a decreased risk of hospitalization and mortality in vaccinated versus unvaccinated subjects aged ≥ 65 years [7, 27, 29, 31, 32]. In Italy, the vaccination

coverage of subjects aged ≥ 65 years during the last three seasons was 65.3% (2020–2021), 58.1% (2021–2022) and 56.7% (2022–2023), remaining below the minimum recom- mended target of 75% [33].

Cardiovascular diseases and stroke

The association between influenza infection and major CV events is well recognized and has been repeatedly confirmed over the years in epidemiological studies [8, 34, 35]. The link between viral respiratory infections and cardiovascular disease (CVD) is bidirectional. Patients with underlying CVD are at increased risk of cardio- pulmonary complications of viral respiratory infections, while viral infections can trigger CV adverse outcomes, mainly by creating a systemic and local inflammatory environment, and promoting secondary infections such as pneumonia, which is in itself associated with increased CV risk through various pathophysiological mechanisms involving the cardiopulmonary system and renal function [8, 34–36]. The most common CV events associated with influenza are acute coronary syndromes and heart failure (HF), but hypertensive crises, cardiogenic shock, acute myocarditis or pericarditis and cardiac tamponade have also been described, though less commonly [37]. Sev- eral mechanisms have been proposed in support of the association between viral respiratory infections and acute coronary syndromes, as reviewed by Corrales-Medina et al. [34]. Basically, acute coronary syndromes can be triggered or hastened by the host response to acute infec- tions through generalized inflammatory and thrombogenic changes, as well as local effects on the coronary tree and atherosclerotic lesions [8, 34]. Inflammation plays a cen- tral role in triggering acute coronary events. Acute infec- tions can promote prothrombotic conditions, destabilize CVD patients through increased metabolic demands and hypoxia, increase vascular tone via activation of the sym- pathetic nervous system and induce inadequate coronary artery flow due to fever and tachycardia, thus exacerbat- ing underlying CVD [8, 34]. Proinflammatory cytokines produced during influenza infection are also responsible for an increased risk of HF, mainly by accelerating athero- sclerosis, impairing inotropy and inducing adverse cardiac remodeling and an excess production of matrix metallo- proteinases tissue inhibitors, which result in ventricular dilatation and increased myocardial collagen content [38].

The increased CV or cerebrovascular risk associated with influenza has been documented in several observa- tional studies (as summarized in Table 1) and systematic reviews. Most of these studies focused on the time-depend- ent association between a diagnosis of influenza infection (or respiratory tract infection or ILI) and recorded adverse

623Internal and Emergency Medicine (2024) 19:619–640

1 3

Ta bl

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S tu

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(9 5%

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on w

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re n-

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h et

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co nt

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d ca

se se

rie s (

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–2 00

9) -E

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nd /

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es 11

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w ith

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t A M

I a t a

ge ≥

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(3 92

7 w

ith c

on su

lta tio

n fo

r a cu

te R

TI ) [

≥ 40

y rs

; m ed

ia n

ag e

73 y

rs ]

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of h

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ta liz

at io

n fo

r A M

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si gn

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nt ly

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cr ea

se d

du rin

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fte r a

cu te

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(I R

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9 [9

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in g

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an de

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in flu

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se as

on s (

73 ,3

63 [8

3% ]

in su

bj ec

ts ≥

65 y

rs )

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ge nc

y de

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is its

fo r I

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as so

ci at

ed

w ith

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p re

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of C

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m or

ta lit

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ti m

e- se

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an al

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a m

on g

su bj

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≥ 65

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ar til

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ng e

in cr

ea se

s i n

in flu

en za

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de nc

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us ly

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s- ur

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ur in

g th

e pr

ev io

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1  da

ys c

or re

sp on

de d

to

in cr

ea se

s f ro

m 2

.3 %

(9 5%

C I 0

.7 –3

.9 %

) t o

6. 3%

(9

5% C

I 3 .7

–8 .9

% ) f

or C

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m or

ta lit

y, a

nd fr

om

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(9 5%

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) t o

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(9 5%

C I 4

.0 –9

.9 %

) fo

r I H

D m

or ta

lit y

K w

on g

et  a

l. [4

1] Se

lf- co

nt ro

lle d

ca se

se rie

s ( 20

09 –2

01 4)

-C an

ad a

14 8,

30 7

in flu

en za

te sti

ng e

pi so

de s (

13 %

p os

iti ve

), 36

4 ho

sp ita

liz at

io ns

fo r A

M I o

cc ur

rin g

w ith

in

1  ye

ar b

ef or

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a fte

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ng (c

on tro

l i nt

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va l).

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k in

te rv

al : fi

rs t 7

 d ay

s a fte

r t es

tin g

[m ed

ia n

77 y

rs , I

Q R

6 5–

86 ]

Th er

e w

as a

si gn

ifi ca

nt a

ss oc

ia tio

n be

tw ee

n la

bo ra

- to

ry -c

on fir

m ed

in flu

en za

a nd

A M

I ( IR

6 .0

5 [9

5%

C I 3

.8 6–

9. 50

] f or

A M

I h os

pi ta

liz at

io n

du rin

g ris

k in

te rv

al v

s c on

tro l i

nt er

va l)

W ar

re n-

G as

h et

 a l.

[4 2]

Se lf-

co nt

ro lle

d ca

se se

rie s (

20 04

–2 01

4) -S

co tla

nd 12

27 su

bj ec

ts w

ith fi

rs t A

M I a

nd 7

62 w

ith st

ro ke

w ho

al

so h

ad la

bo ra

to ry

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fir m

ed R

TI w

ith in

th e

pr ev

i- ou

s 2 8 

da ys

(r is

k pe

rio d)

[5 9–

77 y

rs ]

R at

es o

f A M

I a nd

st ro

ke w

er e

su bs

ta nt

ia lly

in cr

ea se

d in

th e

w ee

k af

te r i

nfl ue

nz a

vi ru

s i nf

ec tio

n (I

R 9

.8 0

[9 5%

C I 2

.3 7–

40 .5

] f or

A M

I a nd

IR 7

.8 2

[9 5%

C I

1. 07

–5 6.

9] fo

r s tro

ke o

cc ur

rin g

1– 3 

da ys

a fte

r p os

i- tiv

e te

st fo

r i nfl

ue nz

a ve

rs us

b as

el in

e pe

rio d

624 Internal and Emergency Medicine (2024) 19:619–640

1 3

Ta bl

e 1

(c on

tin ue

d)

A ut

ho rs

St ud

y de

si gn

(p er

io d)

- c ou

nt ry

Su bj

ec ts

in cl

ud ed

[a ge

] M

ai n

fin di

ng s

O hl

an d

et  a

l. [4

3] Se

lf- co

nt ro

lle d

ca se

se rie

s ( 20

10 –2

01 6)

-D en

m ar

k 60

6 su

bj ec

ts w

ith fi

rs t A

M I a

nd 7

44 w

ith st

ro ke

w ho

al

so h

ad la

bo ra

to ry

-c on

fir m

ed R

TI w

ith in

th e

pr ev

i- ou

s 2 8 

da ys

(r is

k pe

rio d)

[A M

I: 65

% o

f s ub

je ct

s ag

ed ≥

65 y

rs ; s

tro ke

: 7 1%

a ge

d ≥ 65

y rs

)

Th er

e w

as a

si gn

ifi ca

nt C

V e

ve nt

tr ig

ge rin

g eff

ec t

fo llo

w in

g RT

I ( IR

1 7.

5 [9

5% C

I 8 .5

–3 6.

2] fo

r A M

I an

d 10

.3 [9

5% C

I 4 .2

–2 5.

4] fo

r s tro

ke o

cc ur

rin g

1– 3 

da ys

a fte

r p os

iti ve

te st

fo r i

nfl ue

nz a;

IR 5

.1 [9

5%

C I 1

.6 –1

6. 3]

fo r A

M I a

nd 6

.5 [9

5% C

I 2 .4

–1 7.

7] fo

r str

ok e

oc cu

rr in

g 4–

7  da

ys a

fte r t

es t v

er su

s b as

el in

e pe

rio d)

C ho

w e

t a l.

[3 4]

C ro

ss -s

ec tio

na l a

na ly

si s o

f d at

a fro

m F

lu Su

rv -N

ET

(2 01

0– 20

18 in

flu en

za se

as on

s) -U

SA 80

,2 61

h os

pi ta

liz ed

a du

lts w

ith la

bo ra

to ry

-c on

fir m

ed

in flu

en za

[m ed

ia n

ag e

69 y

rs , i

nt er

qu ar

til e

ra ng

e 54

–8 1

yr s]

11 .7

% o

f h os

pi ta

liz ed

p ts

h ad

a n

ac ut

e C

V e

ve nt

, m

os tly

H F

(6 .2

% ) o

r I H

D (5

.7 %

). O

ld er

a ge

a nd

un

de rly

in g

C V

D w

er e

as so

ci at

ed w

ith h

ig he

r r is

k fo

r a cu

te C

V e

ve nt

s. A

m on

g pt

s w ith

c hr

on ic

C V

D ,

20 .6

% h

ad a

n ac

ut e

C V

e ve

nt M

oa e

t a l.

[4 4]

Ep id

em io

lo gi

ca l s

tu dy

b as

ed o

n ge

ne ra

liz ed

-a dd

iti ve

st

at ist

ic al

m od

el (2

00 1–

20 18

)-A us

tra lia

Su bj

ec ts

h os

pi ta

liz ed

fo r s

ud de

n ca

rd ia

c ar

re st

(S CA

): 30

,8 22

a m

on g

th os

e ag

ed 5

0– 64

y rs

a nd

9 1,

20 5

am on

g th

os e

ag ed

≥ 65

y rs

A si

gn ifi

ca nt

a ss

oc ia

tio n

w as

fo un

d be

tw ee

n SC

A h

os -

pi ta

liz at

io ns

a nd

la bo

ra to

ry -c

on fir

m ed

in flu

en za

n ot

i- fic

at io

ns in

so m

e ye

ar s i

n ol

de r s

ub je

ct s.

Es tim

at ed

av

er ag

e an

nu al

S CA

h os

pi ta

liz at

io n

ra te

a ttr

ib ut

ab le

to

in flu

en za

p er

1 00

,0 00

p op

ul at

io n

w as

5 .3

(9 5%

C I

4. 4–

6. 2)

in su

bj ec

ts a

ge d ≥

65 y

rs D

ia be

te s

A lla

rd e

t a l.

[4 5]

Re tro

sp ec

tiv e

stu dy

(2 5M

ay –1

Ju l 2

00 9)

-C an

ad a

23 9

ho sp

ita liz

ed p

ts w

ith P

C R-

c on

fir m

ed A

(H 1N

1)

in flu

en za

D M

tr ip

le d

ris k

of h

os pi

ta liz

at io

n (p

re va

le nc

e ra

tio

3. 10

[9 5%

C I 2

.0 4–

4. 71

]) a

nd q

ua dr

up le

d ris

k of

IC

U a

dm is

si on

(O R

4 .2

9 [9

5% C

I 1 .2

9– 14

.3 ])

v er

su s

su bj

ec ts

w ith

ou t D

M C

am pb

el l e

t a l.

[4 6]

Re tro

sp ec

tiv e

stu dy

(A pr

–S ep

2 00

9) -C

an ad

a 14

79 h

os pi

ta liz

ed p

ts w

ith la

bo ra

to ry

-c on

fir m

ed

A (H

1N 1)

in flu

en za

Th e

ris k

of a

se ve

re o

ut co

m e

(I C

U a

dm is

si on

o r d

ea th

) w

as g

re at

es t f

or p

ts w

ith D

M (R

R 2

.2 [9

5% C

I 1.

7– 2.

7] )

W ilk

in g

et  a

l. [4

7] Re

tro sp

ec tiv

e stu

dy (2

00 9–

20 10

)- G

er m

an y

25 2

fa ta

l c as

es w

ith la

bo ra

to ry

-c on

fir m

ed A

(H 1N

1)

in flu

en za

[m ed

ia n

47 y

rs , I

Q R

2 9–

57 ]

D M

d ou

bl ed

m or

ta lit

y ris

k ve

rs us

su bj

ec ts

w ith

ou t D

M

(R R

2 .3

[9 5%

C I 9

5% 1

.5 –3

.6 ])

Le nz

i e t a

l. [4

8] Re

tro sp

ec tiv

e stu

dy (2

01 0)

-B ra

zi l

47 40

p ts

w ith

la bo

ra to

ry -c

on fir

m ed

A (H

1N 1)

in flu

- en

za D

M w

as id

en tifi

ed a

s a ri

sk fa

ct or

fo r h

os pi

ta liz

at io

n (O

R 3

.0 4

[9 5%

C I 2

.0 3–

4. 55

]; p <

0. 00

1) La

u et

 a l.

[4 9]

Po pu

la tio

n- ba

se d

co ho

rt stu

dy (2

00 0–

20 08

)- C

an ad

a 56

,5 13

w or

ki ng

-a ge

su bj

ec ts

w ith

D M

[m ed

ia n

51

yr s]

v er

su s 1

10 ,2

02 n

on di

ab et

ic c

on tro

ls [m

ed ia

n 50

y rs

]

Su bj

ec ts

w ith

D M

h ad

a 6

% h

ig he

r r is

k fo

r a ll-

ca us

e ho

sp ita

liz at

io n

as so

ci at

ed w

ith in

flu en

za (R

R 1

.0 6

[9 5%

C I 1

.0 2–

1. 10

]) v

er su

s n on

di ab

et ic

su bj

ec ts

Ru iz

e t a

l. [5

0] N

at io

nw id

e po

pu la

tio n-

ba se

d co

ho rt

stu dy

(2

00 9–

20 13

)- N

or w

ay 14

9, 43

2 su

bj ec

ts a

ge d >

30 y

rs w

ith T

2D M

[m ea

n 65

.2 y

rs ] v

er su

s 2 ,8

42 ,7

96 su

bj ec

ts w

ith ou

t T 2D

M

[m ea

n 53

.2 y

rs ]

T2 D

M d

ou bl

ed th

e ris

k of

h os

pi ta

liz at

io n

fo r p

an de

m ic

in

flu en

za (H

R 2

.4 6

[9 5%

C I 2

.0 4–

2. 98

]) v

er su

s su

bj ec

ts w

ith ou

t T 2D

M . T

he re

la tiv

e in

cr ea

se in

m

or ta

lit y

as so

ci at

ed w

ith h

os pi

ta liz

at io

n w

as lo

w er

in

su bj

ec ts

w ith

T 2D

M (H

R 1

.8 2

[9 5%

C I 1

.2 1–

2. 74

])

th an

in th

os e

w ith

ou t T

2D M

(H R

3 .8

9 [9

5% C

I 3.

27 –4

.6 2]

)

625Internal and Emergency Medicine (2024) 19:619–640

1 3

CV outcomes [37, 39–47]. Overall, literature data have demonstrated that there is an association between influ- enza infection and CVD (mostly acute myocardial infarc- tion and HF), this association is strongest in the first 3 days after exposure to infection, tapering afterwards, and older subjects and those with underlying CVD or other chronic diseases are at increased risk of influenza-related CV deaths or hospitalizations.

Influenza vaccination in CVD

There is a large body of evidence, from population-based observational studies, randomized controlled trials (RCTs; summarized in Table 2) and systematic reviews, attesting to the protective effects of influenza vaccination in subjects with CVD [9, 37, 52–60]. Robust evidence of the CV pro- tective effects of vaccination is provided by a large RCT [55], which was included in a recent meta-analysis of six RCTs published between 2000 and 2021, comprising 9001 patients who received influenza vaccination or placebo/ control [9]. Overall, vaccination was associated with a 34% lower risk of major adverse CV events (MACEs), corre- sponding to a number needed to vaccinate of 56 patients to prevent a MACE. Higher-risk patients with a recent acute coronary syndrome benefited most from vaccination, with a 45% lower risk of MACEs. A few studies have explored the association between influenza vaccination and CV outcomes specifically in the HF population [56, 60–62]. In a sub-anal- ysis of the Prospective Comparison of ARNI with ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure (PARADIGM-HF) trial, vaccination against influenza was associated with a reduced risk for all-cause mortality compared with unvaccinated subjects in propen- sity adjusted models (hazard ratio 0.81, 95% CI 0.67–0.97; p = 0.015), while statistical significance was not reached for the composite outcome of CV death and HF hospitalization [38, 61]. Influenza vaccination was associated with a 18% reduced risk of both all-cause mortality and CV mortality in a nationwide cohort study from Denmark which included all registered HF patients (n = 151,328) [62]. A large pragmatic RCT in HF subjects found no significant effect of influenza vaccination versus placebo relative to the primary CV and cerebrovascular outcomes, but suggested a clinical benefit of vaccination in terms of reduced incidence of pneumonia and hospitalizations, as well as reduced CV events and mortality during peak influenza periods [57]. In a RCT that compared the effectiveness of a trivalent HD-IIV versus a quadrivalent SD-IIV in a high-risk population with pre-existing CVD, no significant differences emerged between the two strategies in reducing all-cause mortality or cardiopulmonary hospitaliza- tion [56]. Several potential factors may have contributed to these findings, apart from the broader strain coverage con- ferred by the quadrivalent vaccine [56].Ta

bl e

1 (c

on tin

ue d)

A ut

ho rs

St ud

y de

si gn

(p er

io d)

- c ou

nt ry

Su bj

ec ts

in cl

ud ed

[a ge

] M

ai n

fin di

ng s

O w

us u

et  a

l. [5

1] C

ro ss

-s ec

tio na

l a na

ly si

s o f d

at a

fro m

F lu

Su rv

-N ET

(2

01 2–

20 17

in flu

en za

se as

on s)

-U SA

31 ,9

34 h

os pi

ta liz

ed a

du lts

a ge

d ≥ 65

y rs

w ith

la

bo ra

to ry

-c on

fir m

ed in

flu en

za [m

ed ia

n ag

e 80

y rs

, IQ

R 7

2– 87

]

34 %

o f a

ll ho

sp ita

liz ed

p ts

h ad

D M

. C om

pa re

d w

ith

pt s w

ith ou

t D M

, t ho

se w

ith D

M h

ad h

ig he

r r at

es o

f in

flu en

za -a

ss oc

ia te

d ho

sp ita

liz at

io n

(R R

1 .5

7, 9

5%

C I 1

.4 3–

1. 72

), IC

U a

dm is

si on

(R R

1 .8

4, 9

5% C

I 1.

67 –2

.0 4)

, p ne

um on

ia (R

R 1

.5 7,

9 5%

C I 1

.4 2–

1. 73

) an

d in

-h os

pi ta

l d ea

th (R

R 1

.4 8,

9 5%

C I 1

.2 3–

1. 80

)

AM I a

cu te

m yo

ca rd

ia l i

nf ar

ct io

n; C

I c on

fid en

ce in

te rv

al ; C

V ca

rd io

va sc

ul ar

; C VD

c ar

di ov

as cu

la r d

is ea

se ; D

M d

ia be

te s m

el lit

us ; G

P ge

ne ra

l p ra

ct iti

on er

; H F

he ar

t f ai

lu re

; H R

ha za

rd ra

tio ; I

C U

in

te ns

iv e

ca re

u ni

t; IH

D is

ch em

ic h

ea rt

di se

as e;

IL I i

nfl ue

nz a-

lik e

ill ne

ss ; I

Q R

in te

rq ua

rti le

ra ng

e; IR

in ci

de nc

e ra

tio ; O

R od

ds ra

tio ; R

R re

la tiv

e ris

k; R

TI re

sp ira

to ry

tr ac

t i nf

ec tio

n; S

CA su

dd en

ca

rd ia

c ar

re st

; T 2D

M ty

pe 2

d ia

be te

s m el

lit us

626 Internal and Emergency Medicine (2024) 19:619–640

1 3

Ta bl

e 2

M ai

n ra

nd om

iz ed

c on

tro lle

d tri

al s i

nv es

tig at

in g

th e

be ne

fit s o

f i nfl

ue nz

a va

cc in

at io

n in

c ar

di ov

as cu

la r d

is ea

se s (

st at

ist ic

al ly

si gn

ifi ca

nt re

la tiv

e ris

k/ ha

za rd

ra tio

s i n

gr ay

)

A ut

ho r s

tu dy

n am

e- co

un try

(p er

io d)

Pa rti

ci pa

nt s (

m ea

n ag

e- %

w om

en )

In te

rv en

tio n

(b lin

di ng

) O

ut co

m es

(f ol

lo w

-u p)

M ai

n fin

di ng

s

G ur

fin ke

l e t a

l. [5

2] FL

U VA

C S-

A rg

en tin

a (2

00 1)

30 1

in pa

tie nt

s w ith

re ce

nt M

I o r

st ab

le C

A D

a nd

p la

nn ed

P C

I ( 65

yr

s- 31

% )

Tr iv

al en

t I IV

v er

su s n

o va

cc in

at io

n PE

: C V

d ea

th SE

: c om

po si

te o

f C V

d ea

th , M

I a nd

re

ho sp

ita liz

at io

n fo

r s ev

er e

re cu

r- re

nt is

ch em

ia (1

2  m

on th

s)

PE : R

R 0

.3 4

(9 5%

C I 0

.1 7–

0. 71

; p =

0. 00

2) SE

: R R

0 .5

9 (9

5% C

I 0 .4

–0 .8

6;

p = 0.

00 4)

C is

ze w

sk i e

t a l.

[5 3]

FL U

CA D

-P ol

an d

(2 00

4– 20

05 )

65 8

ou tp

at ie

nt s w

ith a

ng io

gr ap

hy -

co nfi

rm ed

C A

D (6

0 yr

s- 27

% )

Tr iv

al en

t S D

-I IV

v er

su s n

o va

cc in

a- tio

n (d

ou bl

e- bl

in d)

PE : C

V d

ea th

SE : 1

) M A

C E

[c om

po si

te o

f C V

de

at h,

a cu

te M

I a nd

c or

on ar

y re

va sc

ul ar

iz at

io n]

; 2)

c or

on ar

y is

ch em

ic e

ve nt

[M A

C E

or h

os pi

ta liz

at io

n fo

r m yo

ca rd

ia l

is ch

em ia

(1 2 

m on

th s)

PE : H

R 1

.0 6

(9 5%

C I 0

.1 5–

7. 56

; p =

0. 95

) SE

: 1 ) H

R 0

.5 4

(9 5%

C I 0

.2 4–

1. 21

; p =

0. 13

); 2)

H R

0 .5

4 (9

5% C

I 0.

29 –0

.9 9;

p =

0. 04

7)

Ph ro

m m

in tik

ul e

t a l.

[5 4]

Th ai

la nd

(2 00

7– 20

08 )

43 9

in pa

tie nt

w ith

A C

S w

ith in

w ee

ks (6

6 yr

s- 44

% )

Tr iv

al en

t I IV

v er

su s n

o va

cc in

at io

n (o

pe n

w ith

b lin

de d

en dp

oi nt

) PE

: M A

C E

[c om

po si

te o

f d ea

th ,

ho sp

ita liz

at io

n fo

r A C

S, H

F an

d str

ok e]

SE : C

V d

ea th

(1 2 

m on

th s)

PE : H

R 0

.7 0

(9 5%

C I 0

.5 7–

0. 86

; p =

0. 00

4) SE

: 1 ) H

R 0

.3 9

(9 5%

C I 0

.1 4–

1. 12

; p =

0. 08

8) Fr

öb er

t e t a

l. [5

5] IA

M I-

Sw ed

en , D

en m

ar k,

N or

w ay

, La

tv ia

, U K

, C ze

ch R

ep ub

lic ,

B an

gl ad

es h,

A us

tra lia

(2 01

6– 20

20 )

25 32

p at

ie nt

s w ith

re ce

nt M

I a nd

co

m pl

et ed

c or

on ar

y an

gi og

ra ph

y or

P C

I, or

h ig

h- ris

k st

ab le

C A

D

(5 9.

9 yr

s- 18

% )

Tr iv

al en

t o r q

ua dr

iv al

en t S

D -I

IV

ve rs

us p

la ce

bo (d

ou bl

e- bl

in d)

PE : c

om po

si te

o f a

ll- ca

us e

de at

h,

M I o

r s te

nt th

ro m

bo si

s SE

: h ie

ra rc

hi ca

l t es

tin g

fo r a

ll- ca

us e

de at

h, C

V d

ea th

, M I a

nd st

en t

th ro

m bo

si s (

12  m

on th

s)

PE : H

R 0

.7 2

(9 5%

C I 0

.5 2–

0. 99

; p =

0. 04

0) SE

: a ll-

ca us

e de

at h

H R

0 .5

9 (9

5% C

I 0.

39 –0

.8 9;

p =

0. 01

0) , C

V d

ea th

H R

0.

59 (9

5% C

I 0 .3

9– 0.

90 ; p

= 0.

01 4)

, M

I H R

0 .8

6 (9

5% C

I 0 .5

0– 1.

46 ;

p = 0.

57 ),

ste nt

th ro

m bo

si s H

R 1

.9 4

(9 5%

C I 0

.4 8–

7. 76

; p =

0. 34

) Va

rd en

y et

 a l.

[I N

V ES

TE D

] [ 56

] U

SA –C

an ad

a (2

01 6–

20 19

)

52 60

p at

ie nt

s w ith

re ce

nt M

I o r H

F ho

sp ita

liz at

io n

an d ≥

1 ad

di tio

na l

ris k

fa ct

or (m

ea n

65 .5

y rs

-2 8%

)

Tr iv

al en

t H D

-I IV

v er

su s q

ua dr

iv a-

le nt

S D

-I IV

PE : c

om po

si te

o f a

ll- ca

us e

de at

h, o

r ho

sp ita

liz at

io n

fo r C

V o

r p ul

m o-

na ry

c au

se s d

ur in

g ea

ch se

as on

SE : 1

) C V

d ea

th , o

r h os

pi ta

liz at

io n

(e ac

h se

as on

); 2)

a ll-

ca us

e de

at h;

3)

c ar

di op

ul m

on ar

y ho

sp i-

ta liz

at io

n an

d al

l-c au

se d

ea th

(a ll

se as

on s)

; 4 ) fi

rs t c

ar di

op ul

m on

ar y

ho sp

ita liz

at io

n an

d al

l-c au

se d

ea th

(a

ll se

as on

s)

PE : H

R 1

.0 6

(9 5%

C I 0

.9 7–

1. 17

; p =

0. 21

); SE

: 1 ) H

R 1

.0 8

(9 5%

C I 0

.9 7–

1. 20

; p =

0. 16

); 2)

H R

1 .0

1 (9

5% C

I 0.

84 –1

.2 1;

p =

0. 96

); 3)

H R

1 .0

4 (9

5% C

I 0 .9

4– 1.

15 ; p

= 0.

44 );

4) H

R

1. 05

(9 5%

C I 0

.9 6–

1. 15

; p =

0. 26

)

627Internal and Emergency Medicine (2024) 19:619–640

1 3

*2 .3

% o

f v ac

ci ne

s a dm

in ist

er ed

w er

e qu

ad riv

al en

t S D

-I IV

AC S

ac ut

e co

ro na

ry s

yn dr

om e;

C AD

c or

on ar

y ar

te ry

d is

ea se

; C I c

on fid

en ce

in te

rv al

s; C

V ca

rd io

va sc

ul ar

; F LU

CA D

in flu

en za

v ac

ci na

tio n

in p

re ve

nt io

n fro

m a

cu te

c or

on ar

y ev

en ts

in c

or on

ar y

ar te

ry d

is ea

se ; F

LU VA

C S

flu v

ac ci

na tio

n ac

ut e

co ro

na ry

s yn

dr om

es ; I

AM I i

nfl ue

nz a

va cc

in at

io n

af te

r m yo

ca rd

ia l i

nf ar

ct io

n; H

D h

ig h

do se

; H F

he ar

t f ai

lu re

; H R

ha za

rd ra

tio fo

r v ac

ci ne

v er

su s

co nt

ro l/p

la ce

bo ; I

IV in

ac tiv

at ed

in flu

en za

v ac

ci ne

; I N

VE ST

ED in

flu en

za v

ac ci

ne to

e ffe

ct iv

el y

sto p

ca rd

io th

or ac

ic e

ve nt

s an

d de

co m

pe ns

at ed

h ea

rt fa

ilu re

; I VV

E in

flu en

za v

ac ci

ne to

p re

ve nt

ad

ve rs

e va

sc ul

ar e

ve nt

s; M

AC E

m aj

or c

ar di

ov as

cu la

r a dv

er se

e ve

nt s;

M I m

yo ca

rd ia

l i nf

ar ct

io n;

N YH

A N

ew Y

or k

H ea

rt A

ss oc

ia tio

n; P

C I p

er cu

ta ne

ou s

co ro

na ry

in te

rv en

tio n;

P E

pr im

ar y

en d

po in

t; RR

re la

tiv e

ris k

fo r v

ac ci

ne v

er su

s c on

tro l;

SD st

an da

rd d

os e;

S E

se co

nd ar

y en

d po

in t(s

)

Ta bl

e 2

(c on

tin ue

d)

A ut

ho r s

tu dy

n am

e- co

un try

(p er

io d)

Pa rti

ci pa

nt s (

m ea

n ag

e- %

w om

en )

In te

rv en

tio n

(b lin

di ng

) O

ut co

m es

(f ol

lo w

-u p)

M ai

n fin

di ng

s

Lo eb

e t a

l. [5

7] IV

V E-

10 c

ou nt

rie s i

n A

si a,

th e

M id

- dl

e Ea

st an

d A

fr ic

a (2

01 5–

20 21

)

51 29

p at

ie nt

s w ith

N Y

H A

c la

ss

II -I

V H

F (m

ea n

57 .2

y rs

-5 1.

4% )

Tr iv

al en

t* S

D -I

IV v

er su

s p la

ce bo

(d

ou bl

e- bl

in d)

PE : 1

) fi rs

t-e ve

nt c

om po

si te

fo r C

V

de at

h, n

on -fa

ta l M

I a nd

n on

-fa ta

l str

ok e;

2 ) r

ec ur

re nt

-e ve

nt s c

om -

po si

te fo

r C V

d ea

th , n

on -fa

ta l M

I, no

n- fa

ta l s

tro ke

a nd

h os

pi ta

liz a-

tio n

fo r H

F fa

ilu re

SE : a

ll- ca

us e

de at

h, C

V d

ea th

, n on

- fa

ta l M

I, no

n- fa

ta l s

tro ke

, a ll-

ca us

e ho

sp ita

liz at

io n,

h os

pi ta

liz at

io n

fo r H

F fa

ilu re

a nd

p ne

um on

ia

(3  y

ea rs

)

PE : 1

) H R

0 .9

3 (9

5% C

I 0 .8

1– 1.

07 ;

p = 0.

30 );

2) H

R 0

.9 2

(9 5%

C I

0. 84

–1 .0

2; p

= 0.

12 )

SE : a

ll- ca

us e

ho sp

ita liz

at io

n H

R 0

.8 4

(9 5%

C I 0

.7 4–

0. 97

; p =

0. 01

3) ,

pn eu

m on

ia H

R 0

.5 8

(9 5%

C I 0

.4 2–

0. 80

; p =

0. 00

06 ) P

ea k

ci rc

ul at

in g

in flu

en za

p er

io ds

a na

ly si

s: PE

: 1 ) H

R 0

.8 2

(9 5%

C I 0

.6 8–

0. 99

; p =

0. 03

8) 2

) H R

0 .8

8 (9

5% C

I 0.

74 –1

.0 3;

p =

0. 11

) SE

: a ll-

ca us

e de

at h

H R

0 .7

9 (9

5% C

I 0.

66 –0

.9 5;

= 0.

00 99

), C

V d

ea th

H R

0.

77 (9

5% C

I 0 .6

3– 0.

94 ; 0

.0 09

9) ,

pn eu

m on

ia H

R 0

.5 1

(9 5%

C I

0. 32

–0 .8

1; p

= 0.

00 34

)

628 Internal and Emergency Medicine (2024) 19:619–640

1 3

Taken together, literature data indicate that the reduction in the risk of CV adverse events associated with influenza vaccination is comparable with—or even greater than—that achievable with established CV therapies such as aspirin, angiotensin-converting enzyme inhibitors, β-blockers, statins or anti-platelet therapy [9]. Therefore, influenza vaccination should be included as a first-line intervention among CV prevention strategies, as recommended in the guidelines of international and national cardiologic scientific societies [8, 63].

Diabetes

Subjects with diabetes are a well-known high-risk group for influenza-related adverse outcomes, for whom vaccination against influenza is recommended by the WHO and all major public health authorities [64, 65]. There is evidence of an association between diabetes and infectious diseases, with a higher incidence and a more severe course of infections in diabetic patients [64, 66]. Diabetes was found to be a risk factor for premature death caused by multiple infections, is a frequent underlying disease in patients with community- acquired pneumonia and is also considered a risk factor for severe bacteremia upon infection with S. pneumoniae or in the course of pneumonia caused by other pathogens [65, 67]. Although the pathophysiologic conditions underlying the increased severity of influenza associated with diabetes are not fully understood, there is a growing body of evidence that hyperglycemia and glycemic oscillations can increase the severity of bacterial and viral infections through several mechanisms that may include immunosuppressive effects, elevated airway glucose concentrations, reduced pulmonary function, enhanced cytokine production and overexpression of adhesion molecules in pulmonary endothelial cells [66, 68]. Comorbidities that are highly prevalent in people with diabetes and include CVD, chronic kidney disease and obe- sity are another important contributor to the increased sever- ity of influenza infection [64, 68]. Influenza-related adverse outcomes observed in diabetic patients are often driven by the impact of viral infections on the CV system [37, 44].

The largest body of evidence regarding enhanced influ- enza severity in subjects with diabetes was published in the aftermath of the 2009–2010 A(H1N1) pandemic, although the relationship between diabetes and severe influenza had also emerged previously [68]. This relationship, however, has not always been evident, especially during seasonal influenza of subtypes other than A(H1N1), such as A(H3N2) [65]. The findings of numerous observational studies from several countries that have documented a significantly increased risk of influenza-related adverse outcomes in dia- betic versus nondiabetic subjects are summarized in Table 1 [48–51, 69–71]. Notably, the increased risk for influenza- related adverse outcomes has been documented not only in

elderly persons, but also in younger diabetic subjects, who are not usually a target of vaccination programs [69]. Over- all, data from observational studies show evidence that dia- betes increases the risk of influenza-related hospitalization and death (although not consistently across different sea- sons), sequelae and complications of severe influenza asso- ciated with diabetes are more common in elderly people, but can also affect younger, working-age subjects, and comor- bidities such as obesity, CVD and chronic kidney disease are highly prevalent among diabetic hospitalized subjects.

Influenza vaccination in diabetes

Annual influenza vaccination of all subjects with diabe- tes should be an integral part of preventive health strate- gies, as currently recommended [5]. Although the immune responsiveness of diabetic subjects to vaccination has been questioned, most of the immunogenicity studies have dem- onstrated that this population too can achieve effective and sustained humoral and cellular immune responses, similar to those observed in nondiabetic subjects [64, 72, 73]. Cur- rently available data on the protective effects of influenza vaccination in diabetic subjects support the benefits of annual vaccination in this population, despite the methodo- logical limitations of many studies and the difficulties in quantifying the extent of protection provided by vaccination due to variable levels of circulating viral strains in different seasons and the risk of vaccine mismatch [65, 72, 74, 75]. The reported benefits of vaccination in the diabetic popula- tion consist mostly in reduced rates of hospitalization or mortality versus unvaccinated subjects (Table 3) [10, 70, 76–79]. The reduction of the risk of adverse outcomes in vaccinated subjects was also observed in younger diabetic subjects [77, 78], and was found to extend to specific CV outcomes [10, 79]. In a meta-analysis of four cohort stud- ies and two case–control studies, influenza vaccination in adult and elderly patients with diabetes was associated with a lower mortality rate (Mantel–Haenszel odds ratio [MH- OR] 0.54, 95% CI 0.40–0.74; p < 0.001) and a lower risk of hospitalization for pneumonia (MH-OR 0.89, 95% CI 0.80–0.98; p = 0.18) [11]. Influenza vaccination coverage in the diabetic population is still below the minimum recom- mended range of 75% in Italy, especially for subjects aged 18–64 years (32.7% in 2020–2021) [80].

Chronic respiratory diseases

People with underlying chronic respiratory diseases, such as asthma, chronic obstructive pulmonary disease (COPD) and chronic bronchitis, are a high-risk group for complicated or severe influenza. According to US CDC data, 32.5% of adults hospitalized with influenza-related conditions had chronic lung disease during the 2021–2022 season [14].

629Internal and Emergency Medicine (2024) 19:619–640

1 3

Ta bl

e 3

S tu

di es

in ve

sti ga

tin g

th e

be ne

fit s o

f i nfl

ue nz

a va

cc in

at io

n in

d ia

be te

s

A ut

ho rs

co un

try (p

er io

d) St

ud y

de si

gn Pa

rti ci

pa nt

s [ ag

e- %

fe m

al e]

In te

rv en

tio n

M ai

n fin

di ng

s

H ey

m an

n et

 a l.

[7 6]

Is ra

el (2

00 0–

20 01

; w

in te

r a nd

su m

m er

pe

rio ds

)

O bs

er va

tio na

l o ut

co m

e- re

se ar

ch st

ud y

(d at

a fro

m h

ea lth

m ai

nt en

an ce

o rg

an i-

za tio

n)

15 ,5

56 p

ts w

ith D

M a

ge d ≥

65 y

rs

(m ea

n 73

y rs

-4 8%

a m

on g

va cc

in at

ed

su bj

ec ts

) a nd

6 9,

09 7

su bj

ec ts

w ith

ou t

ch ro

ni c

di se

as es

[m ea

n 75

y rs

-5 3%

am

on g

va cc

in at

ed su

bj ec

ts ] a

s r ef

er -

en ce

g ro

up

In flu

en za

v ac

ci ne

. V ac

ci na

tio n

co ve

r- ag

e: 4

8. 8%

a m

on g

D M

p ts

, 4 2.

0%

am on

g re

fe re

nc e

gr ou

p

Va cc

in at

io n

w as

a ss

oc ia

te d

w ith

a re

du c-

tio n

of h

os pi

ta liz

at io

n ra

te s b

y 12

.3 %

in

D M

p ts

a nd

2 3.

0% in

n on

di ab

et ic

su b-

je ct

s ( p =

0. 08

). A

m on

g D

M p

ts , t

he re

w

as si

gn ifi

ca nt

ly re

du ce

d m

or ta

lit y

fo r

va cc

in at

ed v

er su

s u nv

ac ci

na te

d pt

s ( O

R

0. 35

[9 5%

C I 0

.2 5–

0. 49

; p <

0. 00

1 fo

r m

en a

nd O

R 0

.3 2

[9 5%

C I 0

.2 0–

0. 50

; p <

0. 00

1] ) f

or w

om en

Lo oi

jm an

s-V an

d en

A

kk er

e t a

l. [7

7] Th

e N

et he

rla nd

s (1

99 9–

20 00

)

N es

te d

ca se

–c on

tro l s

tu dy

, p ar

t o f t

he

pr im

ar y

ca re

-b as

ed P

R IS

M A

st ud

y A

m on

g 92

38 p

ts w

ith D

M , 1

92 c

as es

di

ed (n

= 61

) o r w

er e

ho sp

ita liz

ed

(n =

13 1)

, a nd

w er

e co

m pa

re d

w ith

15

61 c

on tro

l s ub

je ct

s [ ≥

18 y

rs -4

8%

am on

g ca

se s,

62 %

a m

on g

co nt

ro l

su bj

ec ts

]

Tr iv

al en

t I IV

. V ac

ci na

tio n

co ve

ra ge

: 73

.4 %

a m

on g

ca se

s, 85

.8 %

a m

on g

co nt

ro l g

ro up

Va cc

in at

io n

w as

a ss

oc ia

te d

w ith

a re

du c-

tio n

in h

os pi

ta liz

at io

n by

5 4%

(9 5%

C

I 2 6–

71 %

; p =

0. 00

2) a

nd m

or ta

lit y

by 5

8% (9

5% C

I 1 3–

80 %

; p =

0. 01

9) .

Re du

ct io

ns in

h os

pi ta

liz at

io n

or d

ea th

w

er e

hi gh

er in

su bj

ec ts

a ge

d 18

–6 4

yr s (

72 %

) t ha

n in

th os

e ag

ed ≥

65 y

rs

(3 9%

). N

o si

gn ifi

ca nt

d iff

er en

ce w

as

ob se

rv ed

b et

w ee

n fir

st- tim

e or

re pe

at

va cc

in at

io n

La u

et  a

l. [7

8] C

an ad

a (2

00 0–

20 08

) Po

pu la

tio n-

ba se

d co

ho rt

stu dy

(a dm

in is

- tra

tiv e

da ta

fr om

M an

ito ba

) 91

,6 05

a du

lts w

ith D

M , o

f w ho

m

56 ,5

13 w

er e

of w

or ki

ng a

ge (<

65 y

rs )

an d

a co

nt ro

l g ro

up w

ith ou

t D M

, f or

a

to ta

l o f 5

43 ,3

67 p

er so

n- ye

ar s f

ol lo

w -

up C

om pa

ris on

s b et

w ee

n w

or ki

ng -a

ge

D M

[m ed

ia n

53 y

rs , 4

8% ],

el de

rly

D M

[m ed

ia n

74 y

rs , 5

3% ] a

nd c

on tro

l su

bj ec

ts [m

ed ia

n 74

y rs

, 5 6%

]

In flu

en za

v ac

ci ne

. V ac

ci na

tio n

co ve

r- ag

e: 3

5% a

m on

g w

or ki

ng -a

ge D

M ,

54 %

a m

on g

el de

rly D

M a

nd 4

8%

am on

g co

nt ro

l s ub

je ct

s

In w

or ki

ng -a

ge D

M su

bj ec

ts , v

ac ci

na tio

n w

as a

ss oc

ia te

d w

ith re

la tiv

e re

du ct

io ns

in

p ne

um on

ia /in

flu en

za h

os pi

ta liz

at io

ns

by 4

3% (9

5% C

I 2 8–

54 %

; p <

0. 00

1)

an d

al l-c

au se

h os

pi ta

liz at

io ns

b y

28 %

(9

5% C

I 2 4–

32 %

; p <

0. 00

1) b

ut n

ot IL

I. Si

m ila

r V E

fo r p

ne um

on ia

/in flu

en za

ho

sp ita

liz at

io ns

(4 5–

55 %

re du

ct io

ns )

an d

al l-c

au se

h os

pi ta

liz at

io ns

(3 3–

34 %

re

du ct

io ns

) o bs

er ve

d in

th e

el de

rly

po pu

la tio

n, re

ga rd

le ss

o f D

M st

at us

Va m

os e

t a l.

[7 9]

En gl

an d

(2 00

3– 20

10 )

Re tro

sp ec

tiv e

co ho

rt stu

dy (p

rim ar

y-

an d

se co

nd ar

y- ca

re d

at a

fro m

th e

C lin

ic al

P ra

ct ic

e Re

se ar

ch D

at al

in k

in

En gl

an d

12 4,

50 3

ad ul

ts w

ith T

2D M

(7 a

nn ua

l co

ho rts

), co

nt rib

ut in

g 62

3, 59

1 pe

rs on

- ye

ar s [

m ea

n 56

–6 6

yr s,

45 –4

9% in

2

se as

on s]

In flu

en za

v ac

ci ne

. V ac

ci na

tio n

co ve

r- ag

e: 6

3. 1–

69 .0

% D

ur in

g in

flu en

za se

as on

s, va

cc in

at io

n w

as a

ss oc

ia te

d w

ith si

gn ifi

ca nt

ly lo

w er

ra

te s o

f h os

pi ta

liz at

io n

fo r s

tro ke

(I R

R

0. 70

[9 5%

C I 0

.5 3–

0. 91

]) , H

F (I

R R

0.

78 [9

5% C

I 0 .6

5– 0.

92 ])

a nd

p ne

u- m

on ia

/in flu

en za

(I R

R 0

.8 5

[9 5%

C I

0. 74

–0 .9

9] ),

an d

si gn

ifi ca

nt ly

re du

ce d

ra te

s o f a

ll- ca

us e

de at

h (I

R R

0 .7

6 [9

5%

C I 0

.6 5–

0. 83

]) v

er su

s n on

-v ac

ci na

te d

su bj

ec ts

. T he

c ha

ng e

in h

os pi

ta liz

at io

n ra

te s f

or a

cu te

M I w

as n

ot si

gn ifi

ca nt

630 Internal and Emergency Medicine (2024) 19:619–640

1 3

C I c

on fid

en ce

in te

rv al

; C O

PD c

hr on

ic o

bs tru

ct iv

e pu

lm on

ar y

di se

as e;

D M

d ia

be te

s m

el lit

us ; I

IV in

ac tiv

at ed

in flu

en za

v ac

ci ne

; H F

he ar

t f ai

lu re

; H R

ha za

rd ra

tio ; I

H D

is ch

em ic

h ea

rt di

se as

e;

IR R

in ci

de nc

e ra

te ra

tio ; M

I m yo

ca rd

ia l i

nf ar

ct io

n; O

R od

ds ra

tio ; P

RI SM

A Pr

ev en

tio n

of In

flu en

za ; S

ur ve

ill an

ce a

nd M

an ag

em en

t; T2

D M

ty pe

2 d

ia be

te s m

el lit

us ; V

E va

cc in

e eff

ec tiv

en es

s

Ta bl

e 3

(c on

tin ue

d)

A ut

ho rs

co un

try (p

er io

d) St

ud y

de si

gn Pa

rti ci

pa nt

s [ ag

e- %

fe m

al e]

In te

rv en

tio n

M ai

n fin

di ng

s

Ru iz

e t a

l. [7

0] N

or w

ay (2

00 9–

20 13

) N

at io

nw id

e po

pu la

tio n-

ba se

d, c

oh or

t stu

dy 14

9, 43

2 su

bj ec

ts a

ge d >

30 y

rs w

ith

T2 D

M [m

ea n

65 .2

y rs

] v er

su s

2, 84

2, 79

6 su

bj ec

ts w

ith ou

t T 2D

M

[m ea

n 53

.2 y

rs ]

A S0

3- ad

ju va

nt ed

in flu

en za

v ac

ci ne

w ith

A

/C al

ifo rn

ia /0

7/ 20

09 (H

1N 1)

st ra

in .

Va cc

in at

io n

co ve

ra ge

(p an

de m

ic in

flu -

en za

): 59

.4 %

a m

on g

T2 D

M su

bj ec

ts

C om

pa re

d w

ith n

on -v

ac ci

na te

d su

bj ec

ts

w ith

T 2D

M , v

ac ci

na te

d su

bj ec

ts h

ad

lo w

er ra

te s o

f h os

pi ta

liz at

io n

(H R

0 .2

2 [9

5% C

I 0 .1

1– 0.

39 ])

a nd

m or

ta lit

y (H

R

0. 75

[9 5%

C I 0

.7 3–

0. 77

]) fo

r p an

de m

ic

in flu

en za

. C or

re sp

on di

ng e

sti m

at es

fo

r v ac

ci na

te d

ve rs

us n

on -v

ac ci

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nd h

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00 6]

)

631Internal and Emergency Medicine (2024) 19:619–640

1 3

Asthma is the most common underlying condition in chil- dren hospitalized with influenza and is highly prevalent in adults too, with reported rates of 7.6–46% in adults for influenza-related admission to healthcare facilities [14, 81]. Influenza infection can increase inflammation of the airways, thus worsening symptoms, and trigger asthma attacks [14]. Although asthma patients were generally reported to be at higher risk for hospitalization or intensive care unit (ICU) admission during influenza seasons, a number of clinical studies found that subjects with asthma had a less severe dis- ease compared with non-asthmatic patients [3]. Pre-admis- sion corticosteroid treatment, pulmonary immune responses and a lower threshold for hospitalization in asthma patients might partly explain (among other hypotheses) these unex- pected findings [3, 81].

Exacerbations of COPD accelerate lung function decline and are a leading cause of hospitalization and increased mor- tality risk [82]. Viral respiratory infections are a known trig- ger of COPD exacerbations and account for 40–60% of the exacerbations of infectious etiology [82]. A few retrospec- tive studies have documented the clinical burden of influenza in subjects with chronic lung diseases [82–85]. According to data from the Canadian Immunization Research Network Serious Outcomes Surveillance, laboratory-confirmed influ- enza was identified in 38.5% of COPD patients during the period 2011–2015, and those who were positive for influenza had higher rates of crude mortality (9.7 vs 7.9%; p = 0.047) and critical illness (17.2 vs 12.1%; p < 0.001) compared with COPD patients without influenza [82].

Influenza vaccination in chronic respiratory diseases

Although data on the effectiveness of influenza vaccines in patients with asthma are limited, a few studies have dem- onstrated protective effects against influenza and influenza- related hospitalization, and a reduction of asthma attacks after vaccination [81]. In the population study from Canada, influenza-related hospitalization was reduced by 37.5% in vaccinated COPD patients compared with unvaccinated subjects [82]. The effectiveness of influenza vaccination in reducing influenza-related adverse outcomes in patients with chronic lung disease is also documented in a small double- blind RCT from Thailand [86], as well as cohort studies [12, 87].

Chronic kidney disease

Despite limited evidence about the impact of influenza on subjects with non-respiratory chronic diseases, such as kidney or liver disease, available data indicate that these populations should be considered at high risk for influenza- related complications and, consequently, should receive yearly influenza vaccinations, as recommended by public

health authorities [5]. Patients with end-stage renal disease (ESRD) have impaired functions of both innate and adap- tive immune system, with defects involving B- and T-cell function as well as complement activation. Uremia, volume overload, malnutrition, iron accumulation and comorbidi- ties are other factors contributing to immune dysfunction, in association with systemic inflammation and oxidative stress, ultimately lowering host defenses and predisposing ESRD patients to a higher incidence and more severe course of infectious diseases [88, 89]. Mortality associated with pulmonary infection was reported to be tenfold higher in ESRD patients compared with the general population [88]. Increased hospitalization and mortality rates were found in dialysis patients, compared with healthy subjects, dur- ing the A(H1N1) pandemic [89]. A study based on the US CDC ILI Surveillance Network and the Medicare/Medicaid ESRD database found an association between ILI activity in the community and seasonal variation in all-cause mor- tality in ESRD patients during the period 2000–2013, with an average number of approximately 1100 deaths per year potentially attributable to ILI [90].

Influenza vaccination in chronic kidney disease

Overall, immunogenicity studies seem to suggest that the immune response to influenza vaccines is lower in ESRD patients compared with healthy subjects [88]. A few stud- ies indicate positive outcomes of vaccination in patients with chronic kidney disease, especially regarding all-cause or CV mortality, hospitalization and ICU admission [91]. According to data from the US Renal Data System rela- tive to the 1997–1999 period, influenza vaccination reduced mortality risk in both peritoneal dialysis and hemodialysis patients and decreased hospitalizations in hemodialysis patients compared with unvaccinated subjects [92]. The use of adjuvanted and high-dose vaccines has been suggested to improve immune response in ESRD patients, although studies of the high-dose influenza vaccine in patients under- going dialysis have shown so far conflicting results [93, 94]. According to Italian surveillance data regarding sub- jects aged 18–64 years, only 34.2% of patients with renal insufficiency were vaccinated against influenza during the 2020–2021 season [80].

Chronic liver diseases

The progression of liver disease is characterized by immune dysregulation, and influenza infection has been associated with an increased risk of decompensation in patients with cirrhosis, due to either direct hepatic damage by the virus or immune-mediated damage during systemic infection [95, 96]. In patients with liver disease, influenza infection was associated with a twofold increased risk of hospitalization,

632 Internal and Emergency Medicine (2024) 19:619–640

1 3

compared with healthy subjects, during the 2013–2014 season, and a fivefold increased risk of hospitalization and 17-fold increased risk of mortality during the 2009 pan- demic [95]. A case–control study that analyzed data from patients with liver cirrhosis who were hospitalized for res- piratory complications during the 2009 pandemic found a higher mortality rate in patients with confirmed A(H1N1) influenza compared with control subjects who were negative (81.8% vs 40%) [96].

Influenza vaccination in chronic liver diseases

In patients with liver disease, a meta-analysis of 12 studies (albeit considered of very low quality) found a serological response to influenza vaccination and a 27% reduced risk of hospitalization in vaccinated patients compared with unvac- cinated subjects, whereas no significant effect of vaccina- tion was observed on mortality [95]. Only 18.3% of patients with liver diseases, among those aged 18–64 years, were vaccinated against influenza during the 2020–2021 season, according to Italian surveillance data [80]. While there is clearly a need for more studies—and of better quality—to evaluate the protective effects of influenza vaccination in patients with chronic liver diseases, vaccination is highly recommended in this population.

Vaccines for elderly and high‑risk subjects

The document from the Italian Health Ministry that con- tains recommendations regarding the prevention and con- trol of influenza for the 2023–2024 season identifies the high-dose inactivated influenza vaccine (HD-IIV) and the MF59®-adjuvanted inactivated influenza vaccine (adj- IIV) as the two recommended options for the population aged ≥ 65 years [5]. HD-IIV is a quadrivalent split-virus vaccine containing two type A strains (H1N1 and H3N2) and two type B strains. It contains 60 μg hemagglutinin per strain (a fourfold increased amount of hemagglutinin per strain compared with standard-dose inactivated influenza vaccines [SD-IIV]) to ensure a greater immune response and therefore increased efficacy. Adj-IIV is a quadrivalent vac- cine containing MF59® as adjuvant, an oil-in-water emul- sion of squalene oil. The adjuvant is designed to promote an adequate immune response while using a reduced amount of antigen.

Several immunogenicity studies have demonstrated the greater immunogenicity of HD-IIV compared with SD-IIV in adults aged ≥ 60 years [97]. HD-IIV was first approved (as a trivalent formulation) in 2009 in the US and is the only influenza vaccine globally licensed for use in the elderly population to have demonstrated greater efficacy in prevent- ing laboratory-confirmed influenza, compared with SD-IIV, in an RCT [98].

Table 4 Evaluation of the scientific evidence* of the efficacy of different types of vaccines against laboratory-confirmed influenza in the elderly by international immunization advisory boards (Modified from Redondo et al. [99])

*GRADE-based assessments except for Canada. NACI followed a methodology similar to GRADE, with ratings of A (maximum certainty), B (limited certainty) and I (insufficient certainty) # Not specified if laboratory confirmed § Patient record documenting laboratory-confirmed influenza §§ Evaluated in people aged ≥ 18 years ACIP Advisory Committee on Immunization Practices; Adj-IIV adjuvanted inactivated influenza vaccine; ATAGI-NCIRS Australian Technical Advisory Group on Immunisation-National Centre For Immunisation Research And Surveillance; cc-IIV cell culture-based inactivated influenza vaccine; ECDC European Centre for Disease Prevention and Control; HD-IIV high-dose inactivated influenza vaccine; NACI National Advisory Committee on Immunization; RIV recombinant inactivated influenza vaccine; STIKO Standing Committee on Vaccination

Advisory board (country-publication date)

HD-IIV Adj-IIV cc-IIV RIV

NACI (Canada-2018) [28]

A (Maximum) I (Insufficient)# I (Insufficient) B (Limited)

ECDC (European Union/European Eco-

nomic Area-2020) [100]

Moderate certainty No evidence No evidence Moderate certainty

STIKO (Germany-2021) [101]

High certainty Low certainty Low certainty Moderate certainty

ATAGI-NCIRS (Aus- tralia-2020–2022) [102]

Moderate certainty low certainty§

Very low certainty Very low certainty§§ Not evaluated

ACIP (USA-2022) [103]

High certainty Moderate certainty# Not evaluated Moderate certainty

633Internal and Emergency Medicine (2024) 19:619–640

1 3

Evaluation of influenza vaccines with GRADE methodology

Numerous health authorities have performed systematic reviews for assessment of the efficacy, effectiveness and safety of currently available vaccines (Table 4) [28, 99–103]. In particular, newer and enhanced vaccines (comprising HD- IIV, adj-IIV, cell culture-based IIV and recombinant influ- enza vaccine) were reviewed in a technical report by the ECDC, which included RCTs and non-randomized studies of interventions (excluding studies conducted during pandemic seasons) published up to February 2020 [100]. The main efficacy or effectiveness outcomes were laboratory-con- firmed influenza cases, mortality or hospitalization related to laboratory-confirmed influenza, and CVD or pneumonia/ lower respiratory tract disease associated with laboratory- confirmed influenza. Notably, the Grade of Recommenda- tions, Assessment, Development and Evaluation (GRADE) system was used to evaluate the certainty of evidence for each of the main outcomes considered [104]. The main find- ings of the ECDC report relative to HD-IIV and adj-IIV (the only vaccines that are specifically indicated for the elderly population) are summarized below:

HD-IIV: 36 studies were included in the review. Triva- lent HD-IIV was found to have higher efficacy in prevent- ing influenza compared with trivalent SD-IIV in subjects aged ≥ 65 years (relative vaccine efficacy 24.2%, 95% CI 9.7–36.5%). The evidence, which was considered of mod- erate certainty, was based on one study, a post-licensure phase 3b-4 double-blind RCT that enrolled community- dwelling participants (n = 31,989) from 126 centers in the USA and Canada who received either trivalent HD-IIV or trivalent SD-IIV over two influenza seasons (2011–2012 and 2012–2013) [98]. Notably, 67% of participants had at least one chronic coexisting disease (mainly coronary artery disease). Higher efficacy of HD-IIV against respiratory ill- ness, all-cause hospitalization, serious cardiorespiratory events and pneumonia was also demonstrated [105]. Data about additional outcomes were provided by a single-blind, pragmatic, cluster-RCT in nursing-home residents during the 2013–2014 season [106], and by cohort studies [100]. In the RCT, Gravenstein et al. found a higher vaccine efficacy for trivalent HD-IIV compared with trivalent SD-IIV against respiratory-related hospitalization (relative vaccine efficacy 12.7%, 95% CI 1.8–22.4%) and pneumonia-related hospitali- zation (20.9%, 95% CI 4.7–73.3%) [106]. The cohort stud- ies document an overall larger effect with HD-IIV versus SD-IIV for influenza-related hospitalizations, influenza- or pneumonia-related hospitalizations, influenza-related hos- pital encounters and influenza-related office visits (low-cer- tainty evidence for all outcomes) [100]. Pooled estimates

of safety data show that trivalent and quadrivalent HD-IIV were associated with significantly higher rates of local and systemic adverse events compared with trivalent and quad- rivalent SD-IIV: combined local reactions (risk ratio [RR] 1.40), injection-site pain (RR 1.56), swelling (RR 2.20), induration (RR 1.63), headache (RR 1.35), chills (RR 1.73) and malaise (RR 1.28) [100].

Adj-IIV: 48 studies provided suitable data for the ECDC review. No efficacy data were identified that reported results relating to adj-IIV versus any comparator (other vaccines, placebo or no vaccination). As for relative vaccine effective- ness, no significant difference was found in the limited num- ber of studies that compared adj-IIV with other vaccines, suggesting a lack of evidence of increased benefits over non- adjuvanted vaccines in preventing influenza. Adj-IIV was found to be significantly more effective in the prevention of laboratory-confirmed influenza compared with no vac- cination (VE 44.9%, 95% CI 22.7–60.8%), except against influenza A(H3N2) (VE 10.6%, 95% CI − 24.5–35.7%), with low- or very low-certainty evidence [100]. As for additional outcomes (from the results of matched case–control and cohort studies), adj-IIV appeared to be superior to no vacci- nation against influenza-related hospitalization, influenza- or pneumonia-related hospitalization and against ILI. Limited data suggested that adj-IIV may be more effective, com- pared with non-adjuvanted vaccines, in reducing the risk of influenza- or pneumonia-related hospitalization, influenza- related hospital encounters and ILI [100]. According to pooled safety data, trivalent adj-IIV was associated with a greater number of combined local adverse events compared with trivalent non-adjuvanted vaccines (RR 1.90), injection- site pain (RR 2.02), combined systemic reactions (RR 1.18), myalgia (RR 1.71), fever (RR 1.97) and chills (RR 1.70) [100].

In conclusion, the ECDC report highlighted an overall limited evidence base for the efficacy and effectiveness of newer influenza vaccines. Regarding adj-IIV, there was an absence of high-quality evidence of their efficacy. Collec- tive data for efficacy and effectiveness of HD-IIV suggested that they might provide better protection compared with SD- IIV or no vaccination against laboratory-confirmed influ- enza or other related outcomes, although caution is needed when interpreting study results. Both adj-IIV and HD-IIV appeared to be well tolerated, despite a higher frequency of solicited local and systemic reactions compared with SD-IIV.

Enhanced influenza vaccines: what evidence says

Available literature data do not provide conclusive evidence about the relative effectiveness of HD-IIV and adj-IIV. There

634 Internal and Emergency Medicine (2024) 19:619–640

1 3

Ta bl

e 5

S tu

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D -I

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(R R

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73 [9

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(R R

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[6 5–

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2– 20

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(r V

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ac

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se as

on s

635Internal and Emergency Medicine (2024) 19:619–640

1 3

Ta bl

e 5

(c on

tin ue

d)

A ut

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[n am

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ie ta

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11 ]

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tri va

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; q ua

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t S D

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: 1 4%

; tri

va le

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IV :1

1% ; t

riv al

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IV : 7

% ; q

ua dr

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c- II

V:

5% [≥

65 y

rs - 5

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% ]

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s ( rV

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% [9

5%

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n a

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ris on

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an S

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la te

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Th e

rV E

es tim

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fo r H

D -I

IV w

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9% (9

5%

C I 7

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0. 6%

) v er

su s q

ua dr

iv al

en t

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IV , 8

.7 %

(9 5%

C I 6

.5 –1

0. 9%

) ve

rs us

tr iv

al en

t S D

-I IV

a nd

5 .3

%

(9 5%

C I 3

.3 –7

.3 %

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636 Internal and Emergency Medicine (2024) 19:619–640

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are no RCTs comparing HD-IIV and adj-IIV, and the results of the few studies that have compared the two vaccines show conflicting results [107]. Health authorities, therefore, have analyzed the evidence supporting the effectiveness of the two types of vaccine. The efficacy of vaccination with HD- IIV against laboratory-confirmed influenza in elderly sub- jects is supported by a higher quality of evidence compared with adj-IIV vaccination, as documented in the assessments of all the main health authorities. The clinical evaluation of HD-IIV is based on assessment of relevant outcomes (pre- vention of laboratory-confirmed influenza and severe com- plications) and a robust methodology, with RCTs in clinical and real-world settings [98, 106, 108]. Numerous cohort studies confirm the superior benefits of HD-IIV relative to SD-IIV over most influenza seasons and across different populations (Table 5) [98, 106, 108–113]. In a meta-analysis of 21 randomized and observational studies that provided data about 12 influenza seasons (from 2009 to 2022) in over 45 million subjects aged ≥ 65 years, HD-IIV was found to be more effective than SD-IIV in protecting against ILI (rela- tive VE [rVE] 14.3%), influenza-related hospitalization (rVE 11.2%), respiratory-related hospitalization (rVE 14.7%), CV-related hospitalization (rVE 12.8%), pneumonia-related hospitalization (27.8%) and all-cause hospitalization (rVE 8.2%). Furthermore, HD-IIV was found to be more effective than SD-IIV in reducing influenza and associated outcomes irrespective of age and circulating influenza strains [114]. The results of a recent pragmatic, randomized feasibility trial, which used an innovative study design (with randomi- zation being integrated into a real-life vaccination practice and data collected using a national health registry) also indi- cate a lower incidence of hospitalizations and mortality in subjects receiving quadrivalent HD-IIV versus quadrivalent SD-IIV [108].

Taken together, literature findings suggest that HD-IIV is consistently more effective than SD-IIV in the prevention of influenza and influenza-related complications irrespective of circulating strains, in both controlled and real-world settings. Only a limited number of studies, however, have specifically investigated comparative vaccine efficacy or effectiveness in high-risk populations other than elderly subjects.

The robust evidence supporting the superior efficacy of HD-IIV compared with SD-IIV in subjects aged ≥ 65 years makes HD-IIV a preferable option in the elderly population. Quadrivalent HD-IIV is included among the recommended options for elderly people in most countries, and considered the preferred option by the German Standing Vaccination Committee. It should be noted that many factors beyond proven efficacy and tolerability are taken into account for proposals of vaccination schemes, such as accessibility and cost considerations. For these reasons, most national recom- mendations include both HD-IIV and adj-IIV.

Conclusions

A large body of evidence documents the benefits of vaccina- tion in reducing severe illness and complications associated with influenza infection in elderly subjects and individu- als of any age in high-risk groups, in particular those with CVD, diabetes and chronic lung diseases. Notwithstanding the importance of an accurate prediction of circulating viral strains and the degree of antigenic drift as key determi- nants of vaccine effectiveness, different vaccine types have been associated with varying levels of protection. HD-IIV have been specifically developed to overcome the problems associated with immunosenescence in elderly subjects. The benefits of HD-IIV in this vulnerable population have been demonstrated in RCTs and confirmed in observational stud- ies that have explored the protective effects of this vaccine against relevant clinical outcomes across different seasons and settings. Vaccination should be considered as an integral part of prevention strategies in subjects with CVD, diabetes or other chronic diseases, but surveillance data show that immunization rates remain suboptimal in high-risk individu- als. All clinicians, both general practitioners and specialists, should take a more proactive role in increasing vaccine con- fidence and adherence among their patients.

Supplementary Information The online version contains supplemen- tary material available at https:// doi. org/ 10. 1007/ s11739- 023- 03456-9.

Funding Open access funding provided by Università degli Studi di Roma La Sapienza within the CRUI-CARE Agreement. This paper was supported by an unrestricted educational grant from Sanofi.

Declarations

Conflict of interest RAI and GS declare that they have no conflicts of interest. AC declares the following COI: Bristol Myer Squibb, As- tra Zeneca, Boehringer Ingelheim, Eli Lilly, Merck Sharp & Dhome, Novartis, Novo-Nordisk, Sanofi-Aventis, Sigma-Tau, Takeda (speak- er), Astra Zeneca, Bristol Myer Squibb, Boehringer Ingelheim, Eli Lilly, GSK, Merck Sharp & Dhome, Novo-Nordisk.(Advisory Board) Astra Zeneca, Novo-Nordisk (consultant) Astra Zeneca, Eli Lilly, No- vo-Nordisk (research grant). PL received research grants and personal fees as advisory board member and/or speaker from GSK, Moderna, MSD, Novavax, Pfizer and Sanofi. SM received research grants and personal fees as advisory board member and/or speaker from GSK, Pfizer, Merck, Sanofi, Takeda, Novavax, Viatris and Janssen. NV re- ceived personal fees from IBSA, Mylan, Viatris, Fidia, MSD, Bayer and Sanofi-Aventis. MV served as a consultant in advisory boards of Sanofi Pasteur and GSK.

Open Access This article is licensed under a Creative Commons Attri- bution 4.0 International License, which permits use, sharing, adapta- tion, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not

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permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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  • Influenza vaccination for elderly, vulnerable and high-risk subjects: a narrative review and expert opinion
    • Abstract
    • Introduction
    • Methods
    • Impact of influenza on high-risk populations and benefits of vaccination
      • Older age and frailty
        • Influenza vaccination in older individuals
      • Cardiovascular diseases and stroke
        • Influenza vaccination in CVD
      • Diabetes
        • Influenza vaccination in diabetes
      • Chronic respiratory diseases
        • Influenza vaccination in chronic respiratory diseases
      • Chronic kidney disease
        • Influenza vaccination in chronic kidney disease
      • Chronic liver diseases
        • Influenza vaccination in chronic liver diseases
      • Vaccines for elderly and high-risk subjects
      • Evaluation of influenza vaccines with GRADE methodology
      • Enhanced influenza vaccines: what evidence says
    • Conclusions
    • References