Influenza epidemiology and immunization during pregnancy: Final report of a World Health Organization working group

Deshayne B Fell; Eduardo Azziz-Baumgartner; Michael G Baker; Maneesh Batra; Julien Beauté; Philippe Beutels; Niranjan Bhat; Zulfiqar A Bhutta; Cheryl Cohen; Bremen De Mucio; Bradford D Gessner; Michael G Gravett; Mark A Katz; Marian Knight; Vernon J Lee; Mark Loeb; Johannes M Luteijn; Helen Marshall; Harish Nair; Kevin Pottie; Rehana A Salam; David A Savitz; Suzanne J Serruya; Becky Skidmore; Justin R Ortiz

doi:10.1016/j.vaccine.2017.08.037

. Author manuscript; available in PMC: 2021 Jul 12.

Published in final edited form as: Vaccine. 2017 Sep 1;35(43):5738–5750. doi: 10.1016/j.vaccine.2017.08.037

Influenza epidemiology and immunization during pregnancy: Final report of a World Health Organization working group

Deshayne B Fell ^a,¹, Eduardo Azziz-Baumgartner ^b,², Michael G Baker ^c,³, Maneesh Batra ^d,⁴, Julien Beauté ^e,⁵, Philippe Beutels ^f,⁶, Niranjan Bhat ^g,⁷, Zulfiqar A Bhutta ^h,^i,^8,⁹, Cheryl Cohen ^j,^k,^10,¹¹, Bremen De Mucio ^l,¹², Bradford D Gessner ^m,¹³, Michael G Gravett ^n,¹⁴, Mark A Katz ^o,^p,^15,¹⁶, Marian Knight ^q,¹⁷, Vernon J Lee ^r,¹⁸, Mark Loeb ^s,¹⁹, Johannes M Luteijn ^t,²⁰, Helen Marshall ^u,²¹, Harish Nair ^v,²², Kevin Pottie ^w,²³, Rehana A Salam ^x,^y,^24,²⁵, David A Savitz ^z,²⁶, Suzanne J Serruya ^l,²⁷, Becky Skidmore ^aa,²⁸, Justin R Ortiz ^ab,^*, WHO taskforce to evaluate influenza data to inform vaccine impact and economic modelling

^aSchool of Epidemiology, Public Health and Preventive Medicine, University of Ottawa and Children’s Hospital of Eastern Ontario (CHEO) Research Institute, Canada

^bInfluenza Division, Centers for Disease Control and Prevention, USA

^cDepartment of Public Health, University of Otago, New Zealand

^dDepartment of Pediatrics-Neonatology, University of Washington School of Medicine, USA

^eEuropean Centre for Disease Prevention and Control (ECDC), Sweden

^fCentre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Belgium

^gCenter for Vaccine Innovation and Access, PATH, USA

^hCentre for Global Child Health, Hospital for Sick Children, Canada

ⁱCenter of Excellence in Women & Child Health, The Aga Khan University, Pakistan

^jNational Institute for Communicable Diseases, National Health Laboratory Service, South Africa

^kSchool of Public Health, University of the Witwatersrand, South Africa

^lLatin American Center for Perinatology, Women and Reproductive Health, Panamerican Health Organization, Uruguay

^mAgence de Médecine Préventive, France

ⁿDepartment of Obstetrics and Gynecology, University of Washington, USA

^oMedical School for International Health and Department of Health Systems Management, Ben Gurion University of the Negev, Israel

^pSchool of Public Health, University of Michigan, USA

^qNational Perinatal Epidemiology Unit, University of Oxford, UK

^rSaw Swee Hock School of Public Health, National University of Singapore, Singapore

^sInstitute for Infectious Disease Research, McMaster University, Canada

^tQueen Mary, University of London, UK

^uRobinson Research Institute and Adelaide Medical School, University of Adelaide and Women’s and Children’s Health Network, Australia

^vUsher Institute of Population Health Sciences and Informatics, The University of Edinburgh, UK

^wDepartment of Family Medicine, University of Ottawa, Canada

^xSouth Australian Health and Medical Research Institute, University of Adelaide, Australia

^yDivision of Women and Child Health, Aga Khan University, Pakistan

^zDepartments of Epidemiology and Obstetrics and Gynecology, Brown University, USA

^aaIndependent Information Specialist, Canada

^abInitiative for Vaccine Research, World Health Organization, Switzerland

Address: School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa and Children’s Hospital of Eastern Ontario (CHEO) Research Institute, Ottawa, Canada.

Address: Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Address: Department of Public Health, University of Otago, Wellington, New Zealand.

⁴

Address: Department of Pediatrics-Neonatology, University of Washington School of Medicine, Seattle, Washington, USA.

⁵

Address: European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.

⁶

Address: Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.

⁷

Address: Center for Vaccine Innovation and Access, PATH, Seattle, Washington, USA.

⁸

Address: Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada.

⁹

Address: Center of Excellence in Women & Child Health, The Aga Khan University, Karachi, Pakistan.

¹⁰

Address: National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa.

¹¹

Address: School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.

¹²

Address: Latin American Center for Perinatology, Women and Reproductive Health, Panamerican Health Organization, Montevideo, Uruguay.

¹³

Address: Agence de Médecine Préventive, Paris, France.

¹⁴

Address: Department of Obstetrics and Gynecology, University of Washington, Seattle, Washington, USA.

¹⁵

Address: Medical School for International Health and Department of Health Systems Management, Ben Gurion University of the Negev, Beer Sheva, Israel.

¹⁶

Address: School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.

¹⁷

Address: National Perinatal Epidemiology Unit, University of Oxford, Oxford, UK.

¹⁸

Address: Saw Swee Hock School of Public Health, National University of Singapore, Singapore.

¹⁹

Address: Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.

²⁰

Address: Queen Mary, University of London, London, UK.

²¹

Address: Robinson Research Institute and Adelaide Medical School, University of Adelaide and Women’s and Children’s Health Network, Adelaide, Australia.

²²

Address: Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK.

²³

Address: Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada.

²⁴

Address: South Australian Health and Medical Research Institute, University of Adelaide, Adelaide, Australia.

²⁵

Address: Division of Women and Child Health, Aga Khan University, Karachi, Pakistan.

²⁶

Address: Departments of Epidemiology and Obstetrics and Gynecology, Brown University, Providence, Rhode Island, USA.

²⁷

Address: Latin American Center for Perinatology, Women and Reproductive Health, Panamerican Health Organization, Montevideo, Uruguay.

²⁸

Address: Independent Information Specialist, Ottawa, Canada.

Corresponding author at: Initiative for Vaccine Research, World Health Organization, Geneva, Switzerland. ortizj@who.int (J.R. Ortiz).

PMCID: PMC8274347 NIHMSID: NIHMS1714942 PMID: 28867508

Abstract

From 2014 to 2017, the World Health Organization convened a working group to evaluate influenza disease burden and vaccine efficacy to inform estimates of maternal influenza immunization program impact. The group evaluated existing systematic reviews and relevant primary studies, and conducted four new systematic reviews. There was strong evidence that maternal influenza immunization prevented influenza illness in pregnant women and their infants, although data on severe illness prevention were lacking. The limited number of studies reporting influenza incidence in pregnant women and infants under six months had highly variable estimates and underrepresented low- and middle-income countries. The evidence that maternal influenza immunization reduces the risk of adverse birth outcomes was conflicting, and many observational studies were subject to substantial bias. The lack of scientific clarity regarding disease burden or magnitude of vaccine efficacy against severe illness poses challenges for robust estimation of the potential impact of maternal influenza immunization programs.

Keywords: Influenza, Immunization, Pregnancy, Infants

1. Background and overview of World Health Organization (WHO) working group procedures

Pregnant women and infants under six months of age are among the population subgroups considered to be at high risk for serious influenza-related morbidity and mortality [1–10]. As influenza vaccines are not licensed for use in infants under six months [11], one strategy for preventing influenza illness in this age group is maternal immunization during pregnancy [12,13], an approach that provides both direct protection to pregnant women and indirect protection of their infants through transplacental antibody transfer [14–16]. Evidence primarily from observational studies has additionally suggested that maternal influenza immunization could prevent adverse birth outcomes [17,18]; however, this remains a topic of scientific debate [19–22].

Despite a 2012 WHO recommendation that pregnant women be prioritized for vaccine receipt in countries initiating or expanding influenza immunization programs [12], maternal influenza immunization has not been incorporated into routine immunization programs in many low- and middle-income countries (LMICs) [23]. As part of a formal strategic review In 2013, Gavi, the Vaccine Alliance considered an investment in maternal influenza immunization programs in eligible LMICs but this was not pursued, partly because of limited data regarding the anticipated impact of such a strategy [24]. To address this data gap, the WHO Initiative for Vaccine Research convened a working group in December 2014 [25] with the following objectives: (i) to determine key parameters needed for future influenza vaccine impact and health economic modeling studies, with a focus on immunization of pregnant women in LMICs; (ii) to determine evidence-based estimates for these key parameters; (iii) to evaluate the quality of existing data informing these estimates; and (iv) to recommend future research to address these gaps.

The working group comprised 30 members, representing all WHO regions and with diverse expertise in child health; disease modeling; evidence evaluation methods [26]; health economics; influenza epidemiology; obstetrics; perinatal epidemiology; and vaccinology (Appendix A). Three subgroups evaluated evidence related to influenza epidemiology in pregnant women, infants under six months of age, and the fetus. Evidence assembled included existing systematic reviews, randomized clinical trials (RCTs) of influenza vaccination in pregnancy (three of which were published during the lifespan of this working group [16,27,28]), and other publications (e.g., highly-cited studies relevant to influenza virus infection or immunization during pregnancy). The working group also carried out four new systematic reviews [29–32]. The objective of this report is to summarize the working group evidence evaluation and recommendations for research to inform estimates of maternal influenza immunization program impact.

2. Summary of key findings from WHO working group-initiated systematic reviews

The working group procedures used to design and conduct each new systematic review are summarized in Fig. 1. Briefly, each review included the development of a structured research objective (Table 1); engagement of an experienced medical librarian to design and execute the literature searches; and application of quality assessments to individual studies [33,34] and across studies using Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria [26,35]. Specific details about the scope of each review, the date of electronic literature searches, characteristics of included studies, and a quantitative summary of each review’s findings can be found in Tables 1–3, and by consulting the original publications [29–32]. We were unable to standardize incidence rate estimates presented in this report, as the methods used by the primary studies to calculate them differed. As it is possible that our focused systematic reviews could have excluded studies relevant to our working group objectives, we also evaluated highly-cited, but excluded, studies on each particular topic to inform our conclusions and recommendations.

Table 1.

Objectives for systematic evidence reviews conducted by the WHO working group.

Review	A: Incidence of laboratory-confirmed influenza (LCI) outcomes among pregnant women	B: Incidence of LCI outcomes among infants under six months of age	C: Pregnancy as a risk factor for severe outcomes from influenza virus infection	D: Maternal influenza virus infection and adverse birth outcomes

Author and citation	Katz et al. BMC Pregnancy and Childbirth 2017;17:155 [29]	Fell et al. In press: BMJ Open [30]	Mertz et al. Vaccine 2017; 35:521–528 [31]	Fell et al. British Journal of Obstetrics and Gynaecology 2016;124:48–59 [32]
Objective	To determine evidence-based estimates of the incidence of LCI outcomes among pregnant women	To determine evidence-based estimates of the incidence of LCI outcomes among infants under six months of age	To determine whether pregnancy was a risk factor for severe outcomes of influenza	To assess the association between clinical influenza disease and/or LCI virus infection during pregnancy, compared with no influenza during pregnancy, and adverse birth outcomes
Date of electronic literature searches	February 20, 2015	April 19, 2017	April 25, 2014	December 5, 2014
Inclusion criteria	• Studies that, regardless of design, otherwise met criteria in Population, Exposure, and Outcomes (see rows below) • Additionally, only studies that had laboratory confirmation for influenza virus infection and included population-based incidence rates with denominator data were included	• Studies that, regardless of design, otherwise met criteria in Population, Exposure, and Outcomes (see rows below) • Additionally, only studies that had laboratory confirmation for influenza virus infection and included population-based incidence rates with denominator data were included	• Observational studies with a comparator arm of non-pregnant patients with evidence of influenza virus infection meeting criteria in Population, Exposure, Comparison, and Outcomes (see rows below) • Ecologic studies, defined as studies that collected data at a group rather than at an individual level, or in which numerators or denominators were imputed or estimated	• Comparative observational studies in humans (i.e., cohort, case-control, cross-sectional) meeting criteria in Population, Exposure, Comparison, and Outcomes (see rows below)
Exclusion criteria	• Editorials, commentaries, opinion pieces, narrative reviews, clinical practice guidelines, conference abstracts, or literature not in peer-reviewed journals • Studies reporting estimated incidence rates of influenza outcomes and excess burden of outcomes due to influenza using ecological approaches and statistical modeling	• Studies that did not ascertain LCI outcomes either throughout at least one full influenza season in geographic settings with defined seasonality, or otherwise for at least one full year • Studies reporting estimated incidence rates of influenza outcomes and excess burden of outcomes due to influenza using ecological approaches and statistical modeling • Studies where influenza was not examined as a primary outcome, but rather as a co-infection in a study population identified on the basis of another infectious disease	• Non- English articles • Studies on avian influenza A virus infection in humans	• Non-English articles, editorials, commentaries, narrative reviews, clinical practice guidelines, conference abstracts or literature not in peer-reviewed journals • Case series and case reports (i.e., no comparison group of uninfected pregnant women)
Population	Pregnant women	Infants under six months of age	Pregnant and non-pregnant patients with evidence of LCI virus infection	Pregnant women
Exposure	LCI virus infection	LCI virus infection	Pregnancy	Pregnant women with clinical influenza disease and/or LCI virus infection
Comparison	N/A	N/A	No pregnancy	Pregnant women with no clinical influenza disease or LCI virus infection
Outcomes	• Incidence of LCI infection using serology • Incidence of symptomatic LCI • Incidence of LCI hospitalization • Incidence of LCI ICU admission • Incidence of LCI mortality • LCI disability-adjusted life years lost	• Incidence of LCI infection • Incidence of LCI hospitalization • Incidence of LCI ICU admission • Incidence of LCI mortality	Impact of pregnancy on risk of: • LCI community-acquired pneumonia • LCI hospitalization • LCI ICU admission • LCI-associated mechanical ventilator support • LCI mortality	Impact of influenza during pregnancy on risk of: • Preterm birth (<37 weeks’ gestation) • Small-for-gestational-age birth • Fetal death (miscarriage or stillbirth)

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Abbreviations: ICU: intensive care unit; LCI: laboratory-confirmed influenza.

Table 3.

Main results from systematic evidence reviews carried out by the WHO working group.

Review	Results

A: Incidence of laboratory-confirmed influenza (LCI) outcomes among pregnant women [29]	Incidence of LCI infection using serology (3 studies) • Lowest rate: 483 per 10,000 pregnancies (hospital-based; 1975–1977 influenza seasons) • Highest rate: 1097 per 10,000 pregnancies (hospital-based; 1993–1994 influenza seasons) • Modified GRADE assessment [35] of overall evidence quality: very low Incidence of symptomatic LCI (3 studies) • Lowest rate: 0.10 per 10,000 pregnancies (hospital/clinic-based; 2009 H1N1 pandemic) • Highest rate: 486 per 10,000 pregnancies^a(clinic-based; 2011 and 2012 influenza seasons) • Modified GRADE assessment [35] of overall evidence quality: very low Incidence of LCI hospitalization (4 studies) • Lowest rate: 0.04 per 10,000 pregnancies (2009 H1N1 pandemic) • Highest rate: 7.7 per 10,000 pregnancies (2009 H1N1 pandemic) • Modified GRADE assessment [35] of overall evidence quality: very low Incidence of LCI ICU admission (4 studies) • Lowest rate: 0.01 per 10,000 pregnancies (2009 H1N1 pandemic) • Highest rate: 6.8 per 10,000 pregnancies (2009 H1N1 pandemic) • Modified GRADE assessment [35] of overall evidence quality: very low Incidence of LCI mortality (4 studies) • Lowest rate: 0.003 per 10,000 pregnancies (hospital/clinic-based; 2009 H1N1 pandemic) • Highest rate: 0.69 per 10,000 pregnancies (hospital-based; 2009 H1N1 pandemic) • Modified GRADE assessment [35] of overall evidence quality: very low Summary: • Limited number of studies reporting each of the outcomes (no studies reported LCI disability-adjusted life years lost) • Meta-analysis of individual study incidence rates was not possible due to high heterogeneity
B: Incidence of LCI outcomes among infants under six months of age [30]	Incidence of LCI infection (6 studies) • Lowest rate: 0.75 per 100 person-years <6 months (2011–2014 influenza seasons) • Highest rate: 35 per 100 person-years <6 months (community-based active household surveillance; 2009 H1N1 pandemic and 2010–2011 infleunza season) • Modified GRADE assessment [35] of overall evidence quality: low Incidence of LCI hospitalization (23 studies)^b • Seasonal influenza: – Lowest rate: 0 per 10,000 infants <6 months – Highest rate: 250 per 10,000 infants <6 months (2010–2012 influenza seasons) • H1N1pdm09 influenza: – Lowest rate: 20.2 per 10,000 infants <6 months – Highest rate: 259 per 10,000 infants <6 months • Modified GRADE assessment [35] of overall evidence quality: moderate (across all influenza seasons) Incidence of LCI ICU admission (7 studies) • Lowest rate: 0 per 10,000 infants <6 months (2000–2001 influenza season) • Highest rate: 3.5 per 10,000 infants <6 months (2001–2004 influenza seasons) • Modified GRADE assessment [35] of overall evidence quality: low Incidence of LCI mortality (9 studies) • Lowest rate: 0 per 100,000 infants <6 months • Highest rate: 5 per 100,000 infants <6 months (hospital-based; 2009 H1N1 pandemic) • Modified GRADE assessment [35] of overall evidence quality: low Summary: • Limited number of studies reporting each of the outcomes, particularly few from non-US settings • Meta-analysis of individual study incidence rates was not possible due to high heterogeneity • There was wide variation in incidence rates for LCI hospitalization • Incidence rates of LCI death among infants under six months were based on few cases (e.g., six out of nine studies did not ascertain any LCI deaths, and two additional studies documented 2–3 LCI deaths)
C: Pregnancy as a risk factor for severe outcomes from influenza virus infection [31]	Risk of community-acquired pneumonia in pregnant vs. non-pregnant patients with influenza (8 studies) • Pooled OR: 1.80 (95% CI: 0.72–4.49) – Among 3 studies that used women of reproductive age as the comparator: Pooled OR: 1.09 (95% CI: 0.29–4.08) • GRADE assessment [26] of overall evidence quality: very low Risk of hospitalization in pregnant vs. non-pregnant patients with influenza (13 studies) • Pooled OR: 2.44 (95% CI: 1.22–4.87) – Among 2 studies that used women of reproductive age as the comparator: Pooled OR: 3.28 (95% CI: 0.52–20.6) • GRADE assessment [26] of overall evidence quality: moderate Risk of ICU admission in pregnant vs. non-pregnant patients with influenza (47 studies) • Pooled OR: 0.85 (95% CI: 0.62–1.17) – Among10 studies that used women of reproductive age as the comparator: Pooled OR: 0.51 (95% CI: 0.42–0.62) • GRADE assessment [26] of overall evidence quality: very low Risk of mechanical ventilator support in pregnant vs. non-pregnant patients with influenza (26 studies) • Pooled OR: 1.21 (95% CI: 0.70–2.08) – Among 8 studies that used women of reproductive age as the comparator: Pooled OR: 0.82 (95% CI: 0.40–1.67) • GRADE assessment [26] of overall evidence quality: very low Risk of mortality in pregnant vs. non-pregnant patients with influenza (94 studies) • Pooled OR: 1.04 (95% CI: 0.81–1.33) – Among 18 studies that used women of reproductive age as the comparator: Pooled OR: 1.02 (95% CI: 0.57–1.84) • GRADE assessment [26] of overall evidence quality: very low Summary: • Quality of evidence across studies was poor, with significant heterogeneity between studies for most analyses • Influenza during pregnancy resulted in a higher risk of hospitalization than influenza infection in non-pregnant patients, but among hospitalized patients, the risk of mortality following influenza was similar in pregnant and non-pregnant individuals • Whether the reason for hospitalization was severity of illness versus precautionary admission for obstetrical reasons is unclear
D: Maternal influenza virus infection and adverse birth outcomes [32]	Maternal influenza during pregnancy and risk of preterm birth (16 studies) • Across all studies, individual-study relative effect estimates ranged from 0.40 (95% CI: 0.11–1.41)to 4.08 (95% CI: 3.56–4.67) – Among the 2 highest-quality studies of seasonal influenza, individual-study relative effect estimates ranged from 0.82 (95% CI: 0.55–1.22) for mild-to-moderate illness, to 1.20 (95% CI: 0.72–2.01) for severe illness – Among the 5 highest-quality studies of H1N1pdm09 influenza, individual-study relative effect estimates ranged from 1.03 (95% CI: 0.85–1.25) for mild-to-moderate illness, to 4.00 (95% CI: 2.71–5.90) for severe illness • Modified GRADE assessment [35] of overall evidence quality: very low Maternal influenza during pregnancy and risk of small-for-gestational-age birth (5 studies) • Pooled OR: 1.24 (95% CI: 0.96–1.59) – Among 3 estimates of seasonal influenza, individual-study relative effect estimates ranged from 0.71 (95% CI: 0.23–2.20) to 1.66 (95% CI: 1.11–2.49) – Among 3 estimates of H1N1pdm09 influenza, individual-study relative effect estimates ranged from 0.98 (95% CI: 0.47–2.05) to 1.14 (95% CI: 0.59–2.22) • Modified GRADE assessment [35] of overall evidence quality: low Maternal influenza during pregnancy and risk of fetal death (10 studies) • Two fetal death studies were of sufficient quality and size to permit meaningful interpretation – Both reported an increased risk of fetal death following maternal H1N1pdm09 influenza: HR = 1.91 (95% CI: 1.07–3.41) for mild-to-moderate illness, and RR = 4.2 (95% CI: 1.42–12.4) for severe illness • Modified GRADE assessment [35] of overall evidence quality: very low Summary: • Meta-analysis of individual study effect estimates was not possible for preterm birth or fetal death due to high heterogeneity • Several of the highest-quality studies suggested an association between severe influenza illness during the 2009 H1N1 pandemic and risk of preterm birth and fetal death • An important limitation of this literature concerns the potential for different clinical thresholds for influenza testing/diagnosis/hospitalization among women with high-risk pregnancies or suspected poor pregnancy outcome, compared with women with low-risk pregnancies. Such differential misclassification of the exposure by outcome would be expected to inflate the magnitude of effect estimates, making influenza disease appear more strongly associated with poor outcome

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Abbreviations: CI: confidence interval; GRADE: Grading of Recommendations Assessment, Development and Evaluation; HR: hazard ratio; ICU: intensive care unit; LCI: laboratory-confirmed influenza; OR: odds ratio; RR: risk ratio.

Based on incidence in the HIV-uninfected and HIV-infected placebo groups combined.

Four studies reporting LCI hospitalization provided estimates for both seasonal influenza and for H1N1pdm09 influenza.

2.1. Review A: Incidence of laboratory-confirmed influenza (LCI) outcomes among pregnant women [29]

This systematic review of studies published up to February 20, 2015 sought to establish evidence-based incidence estimates of laboratory-confirmed influenza (LCI) outcomes among pregnant women (see Table 1 for list of outcomes and Table 2 for characteristics of included studies) [29]. Among the nine studies that met the inclusion criteria, six reported data exclusively from the 2009 H1N1 pandemic period, two reported exclusively from seasonal influenza epidemics, and one study covered both. Almost all (8/9 studies) were from high-income countries (Table 2). Meta-analysis of incidence rates was not performed due to substantial heterogeneity and the small number of studies reporting any given outcome. Incidence estimates for symptomatic LCI infection ranged from 0.10 per 10,000 pregnant women (95% confidence interval [CI]: 0.07–0.14) to 486 per 10,000 pregnant women (95% CI: 375–630), the latter from the HIV-uninfected and HIV-infected placebo arms, combined, of an RCT of influenza immunization in pregnant women in South Africa [16]. Estimates of LCI hospitalization and intensive care unit (ICU) admission were similarly variable (Table 3), likely due to differences in surveillance methodologies and influenza season variability. LCI mortality in pregnant women was reported by only four studies, all of which were case series conducted during the 2009 H1N1 pandemic. Rates ranged from 0.003 per 10,000 pregnant women (95% CI: 0.000–0.021) to 0.69 per 10,000 pregnant women (95% CI: 0.26–1.51), and were based on very low numerator counts (between one and eight deaths with LCI).

Table 2.

Descriptive characteristics of studies included in systematic evidence reviews carried out by the WHO working group.

Review	Total number of included studies	World Bank country income group^a	World Health Organization region^b	Type of influenza

A: Incidence of laboratory-confirmed influenza (LCI) outcomes among pregnant women [29]	9
B: Incidence of LCI outcomes among infants under six months of age [30]	27
C: Pregnancy as a risk factor for severe outcomes from influenza virus infection [31]	152^c,d
D: Maternal influenza virus infection and adverse birth outcomes [32]	21

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Abbreviations: AFRO: WHO Regional Office for Africa; AMRO/PAHO: WHO Regional Office for the Americas/Pan American Health Organization; EMRO: WHO Regional Office for the Eastern Mediterranean; EURO: WHO Regional Office for Europe; SEARO: WHO Regional Office for South-East Asia; WPRO: WHO Regional Office for the Western Pacific; LCI: laboratory-confirmed influenza.

World Bank. World Development Indicators. Accessed: 10 Jan 2017. Available at: http://data.worldbank.org/data-catalog/world-development-indicators

World Health Organization. WHO regional offices. Accessed: 10 Jan 2017. Available at: http://www.who.int/about/regions/en/

9 countries were not specified in one of the included studies and, therefore, do not appear in the first two panels [87].

One of the included studies was a global pooled analysis of 19 countries, which have been individually included in the first two panels [88].

The primary rationale for excluding other commonly-referenced studies reporting influenza outcomes among pregnant women was the lack of laboratory confirmation, which was a pre-specified inclusion criterion for the review. As a general observation, the excluded studies of influenza-associated outcomes in pregnant women tended to report rates that were higher than those described by the studies included in our review, likely explained by the use of a broad group of non-specific cardiopulmonary diagnostic codes from health administrative databases, which could overestimate influenza incidence due to misclassification of other influenza-like illnesses as influenza. For example, a Canadian study estimated that one in 1000 healthy pregnant women had seasonal influenza-associated hospitalizations per year, based on administrative diagnostic codes [36]; this rate was higher than those reported by the studies in our review, all of which described laboratory-confirmed pandemic influenza (Table 3). Two additional highly-cited studies [37,38] not only used administrative diagnostic codes but also focused on trimester-specific incidence alone, precluding direct comparisons with the studies in our review. We excluded studies reporting estimated incidence rates of influenza outcomes and excess burden of outcomes due to influenza [39] using ecological approaches and statistical modeling due to the absence of individual-level laboratory-confirmed data. Typically, these studies used regression models to analyze data over multiple seasons using influenza surveillance or administrative databases. This approach has most commonly been used to estimate excess mortality [40] and respiratory and circulatory hospitalizations in the general US population [41]. One such study of pregnant and non-pregnant women of childbearing age was conducted in South Africa [42], where baseline maternal mortality rates are higher than in high-income countries. Between 1999 and 2009, the mean annual seasonal influenza-associated mortality rate was 12.6 per 100,000 person-years (95% CI: 7.2–18) among pregnant women, while the estimated H1N1pdm09 influenza virus-associated mortality rate was 19.3 per 100,000 person-years (95% CI: 11–27.6) [42], higher than the rates reported by studies in our review.

2.2. Review B: Incidence of LCI outcomes among infants under six months of age [30]

As the strategy of maternal influenza immunization is also expected to reduce influenza among infants under six months of age, we sought to determine incidence rates of LCI outcomes (Table 1) specifically within this age group [30]. Among 27 primary studies published up to April 19, 2017 that met inclusion criteria, 23 assessed incidence of LCI hospitalization. However, meta-analysis of study-specific rates was not possible due to high statistical and methodological heterogeneity. Of the 27 studies, 19 exclusively covered periods of seasonal influenza, two covered the 2009 H1N1 pandemic period, and six covered both (Table 2). Most studies were from high-income (55%) or upper-middle income countries (30%), and no studies originated from low-income countries. Among US studies, the reported incidence of LCI hospitalization for infants under six months from influenza seasons between 2000 and 2012 ranged from 9.3 (95% CI: 7.9–10.9) to 91.2 (95% CI: 67.0–145) per 10,000 infants for seasonal influenza, while the estimate for H1N1pdm09 influenza was 20.2 per 10,000 infants (95% CI: 18.1–22.5). Although two non-US studies did not ascertain any hospitalizations of infants under six months in a few time periods (i.e., an incidence rate of zero [8,43]), most reported rates of LCI hospitalization for seasonal influenza that ranged between 6.2 (95% CI: 3.1–9.3) and 73.0 (95% CI: 40.6–122) per 10,000 infants under six months, with the exception of an estimated rate of 250 per 10,000 infants (95% CI: 213–292) in one study from China [44]. Of the nine studies that proposed to capture LCI deaths (Table 3), only three ascertained any fatal cases among infants under six months. The most precise rate, from the 2003–2004 influenza season, estimated LCI mortality to be 0.88 per 100,000 infants under six months of age (95% CI: 0.52–1.39), based on 18 fatal cases with concurrent laboratory detection of influenza virus [10]. Although the cases were identified through an enhanced national surveillance effort in the United States, some were likely missed as laboratory testing is not always performed [10]. The highest rate was reported from a study of LCI deaths in Buenos Aires during the 2009 H1N1 pandemic; two deaths of infants under six months were recorded, with a corresponding LCI mortality rate of five per 100,000 infants (95% CI: 0.82–16.1) [45].

Most exclusions of primary studies from our review, that may have been included by other evidence reviews [46], were due to non-reporting of data specific to infants under six months of age. We also excluded studies using the proportion-positive method of estimating influenza burden. These studies conduct surveillance for a clinical syndromes such as respiratory hospitalization, often aggregated over many sites, and report the proportion of samples that test positive for influenza. This method is sufficiently different from the primary design in our review (i.e., enumeration of individual laboratory-confirmed cases in a defined population) that a direct comparison of rates was not appropriate.

2.3. Review C: Pregnancy as a risk factor for severe outcomes from influenza virus infection [31]

The aim of this systematic review of published studies up to April 25, 2014 was to quantify the risk of severe influenza outcomes, as listed in Table 1, among pregnant women with LCI illness relative to other population sub-groups with LCI illness [31]. Only 4% of all studies exclusively covered seasonal influenza observational periods, and the majority of studies were from high-income countries (76%; Table 2). Most individual-level studies enrolled hospitalized subjects (118/142; 83.1%). Pregnant women had a higher risk of LCI hospitalization than non-pregnant patients (pooled odds ratio [OR] 2.44; 95% CI: 1.22–4.87), but among those hospitalized, there was no increased risk for more severe outcomes such as LCI ICU admission, mechanical ventilation, or death (Table 3). A sub-group analysis limited to studies using a comparison group of non-pregnant women of reproductive age found the risk of ICU admission to be significantly lower in pregnant women (pooled OR: 0.51, 95% CI: 0.42–0.62), suggesting that LCI hospitalization of pregnant women may be partly for precautionary reasons, given their lower likelihood of ICU admission. There was also no significant difference in LCI mortality of pregnant women once hospitalized (83/94 studies reporting mortality only included hospitalized LCI deaths). It is unclear whether the lack of association between pregnancy and severe LCI outcomes reflects pregnancy conferring similarly increased risk as other prevalent conditions in the comparison groups (e.g., cardiorespiratory disease, obesity, or older age), or whether it was a result of a lower threshold for hospitalization of pregnant women compared with other high-risk groups. Follow-up in the included studies was not initiated before contact with the healthcare system and studies did not account for illness severity or co-morbidity.

The review identified important discrepancies between results from individual-level studies and ecologic studies. The latter generally reported a higher risk of influenza-associated death and ICU admission for pregnant women compared with non-pregnant women [31]. Study designs which estimate risk based on group-level data are prone to a number of biases [39] and, for this reason, were excluded from the systematic review. Other commonly-cited studies were excluded from the review [37,38] as they defined influenza outcomes according to a broad group of non-specific cardiopulmonary diagnostic codes from health administrative databases during the influenza season without laboratory-confirmation.

2.4. Review D: Maternal influenza virus infection and adverse birth outcomes [32]

The aim of this systematic review of published studies up to December 5, 2014 was to evaluate the association between maternal influenza illness during pregnancy and adverse birth outcomes (Table 1) [32]. Among the 21 comparative studies identified, 20 used observational designs and originated from high-income countries, 14 reported exclusively on seasonal influenza periods, seven reported exclusively on the 2009 H1N1 pandemic, and two reported on both (Table 2). Individual-study estimates for preterm birth risk were highly variable (relative risks [RR] ranged from 0.4, 95% CI: 0.11–1.41 to 4.08, 95% CI: 3.56–4.67 [32]). However, when limited to only the highest-quality studies, two reported significantly increased preterm birth risk (RR: 2.39, 95% CI: 1.64–3.49 [47] and RR: 4.0, 95% CI: 2.71–5.90 [48]) associated with severe H1N1pdm09 influenza illness requiring hospitalization, while no association was reported by the three studies assessing mild-to-moderate H1N1pdm09 influenza illness [49–51] nor by the two highest-quality studies of seasonal influenza [50,52]. There were no significant differences in small-for-gestational-age (SGA) birth between women with and without influenza virus infection during pregnancy (pooled OR: 1.24, 95% CI: 0.96–1.59) [32]. Although fetal death (i.e., miscarriage and/or stillbirth) was included as an outcome by 10 studies, no meta-analysis was possible due to high variability in fetal death definitions and quality. The two highest-quality studies reported a significantly increased risk of fetal death following maternal H1N1pdm09 influenza disease (RR 1.91, 95% CI: 1.07–3.41 for mild-to-moderate disease [49] and 4.2, 95% CI: 1.42–12.4 for severe disease [48]). Vaccine RCTs can provide complementary evidence relating disease to non-specific clinical outcomes [53], which is useful to consider in this context given the low-quality, mixed evidence from observational studies. We included one placebo-controlled RCT [16] in our review, in which the risk for preterm birth computed from raw study data did not differ between treatment arms, though the trial was not powered for this secondary outcome.

As this review considered only comparative studies (i.e., comparing birth outcomes among women with and without influenza virus infection during pregnancy), case series studies were excluded. With the exception of a few individual studies [54–56], previous reviews showed that most of these case series studies reported higher than expected rates of pregnancy loss and preterm birth among infected pregnant women [57–59], especially series of hospitalized women [57,60–62]. Notwithstanding the limitations of case series [63], the existing descriptive studies of influenza disease during pregnancy are more geographically diverse and offer additional contextual information about the clinical course of influenza illness during pregnancy, prevalence of maternal comorbid conditions (e.g., asthma, HIV co-infection), and other sociocultural factors that may affect both treatment and prevention. Taken together, the findings from our review and the excluded descriptive studies agree that pregnant women with severe H1N1pdm09 influenza disease requiring hospitalization appeared to have an increased risk of preterm birth and fetal death, though the limited data preclude firm conclusion on the magnitude. We did not find convincing data that mild maternal influenza virus infection was associated with any of the adverse birth outcomes mentioned above.

3. Results from other evidence assembled by the WHO working group

3.1. Vaccine efficacy against LCI infection in pregnant women and newborns

Three RCTs of influenza immunization during pregnancy were, or became, available for review by the working group, originating from Bangladesh [15], South Africa [16] and Mali [27]. A fourth trial from Nepal [28] was published as this report was being prepared, and a Cochrane review [64] is currently being updated to incorporate this new evidence. Table 4 presents vaccine efficacy (VE) estimates for prevention of LCI infection in mothers and infants up to six months of age from the RCTs. VE against LCI infection among pregnant women over six months of follow-up was 70% (95% CI: 42–86) in Mali [27] and 50% in South Africa (95% CI: 14–71) [16], but not statistically significant in the recent RCT from Nepal (VE: 31% for all LCI in the combined cohort, 95% CI: −10 to 56) [28]. Among infants followed from birth to six months of age, VE estimates ranged from 30% (95% CI: 5–48) in Nepal [28] to 63% (95% CI: 5–85) in Bangladesh [15].

Table 4.

Vaccine efficacy (VE) results from randomized controlled trials (RCT) of influenza immunization during pregnancy.

Location	Bangladesh	South Africa^a	Mali	Nepal

Reference	Zaman et al. [15]	Madhi et al. [16]	Tapia et al. [27]	Steinhoff et al. [28]
	NEJM 2008; 359:1555–64.	NEJM 2014; 371:918–31.	Lancet ID 2016; 16:1026–35.	Lancet ID 2017; pii: S1473-3099(17) 30252–9.
	[Epub: 2008 Sep17]	[Epub: 2014 Sep 4]	[Epub: 2016 May 31]	[Epub: 2017 May 15]
Type of control	Active (pneumococcal polysaccharide vaccine)	Placebo	Active (quadrivalent meningococcal conjugate vaccine)	Placebo
Population	340 women in the third trimester of pregnancy	2116 HIV-negative women in the second or third trimester of pregnancy (20–36 weeks of gestation)	4193 women in the third trimester of pregnancy (≥28 weeks of gestation)	3693 women in the second or third trimester of pregnancy (17–34 weeks of gestation)
Attack rate of symptomatic LCI illness in mothers
Vaccine arm	–^b	1.8%^c	0.5%^c	1.7%^c
Control arm	–^b	3.6%^c	1.9%^c	2.4%^c
VE against LCI virus illness in mothers	–^b	50% (95% CI: 14–71)^c	70% (95% CI: 42–86)^c	31% (95% CI: −10 to 56)^c 23% (95% CI: −43 to 58)^d
Attack rate of symptomatic LCI illness in infants^c
Vaccine arm	0.7%	1.9%	2.5%	4.1%
Control arm	1.8%	3.6%	3.8%	5.8%
VE against LCI virus illness in infants	63% (95% CI: 5–85)	49% (95% CI: 12–70)	33% (95% CI: 4–54)	30% (95% CI: 5–48)

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Abbreviations: CI: confidence interval; LCI: laboratory-confirmed influenza; RCT: randomized controlled trial; VE: vaccine efficacy.

Summary and results refer to non-HIV infected women.

Outcome measured in mothers was not LCI illness, but influenza-like illness defined as any respiratory illness with fever.

Measured up to 24 weeks post-delivery.

Measured up to the delivery.

3.2. Influenza vaccination and birth outcomes

The majority of studies of maternal influenza immunization and birth outcomes are observational epidemiologic studies and originate from high-income countries. Two published systematic reviews on this subject were available when the WHO working group was convened in 2014 [18,65]. One review included 27 comparative studies assessing the association between maternal influenza immunization and preterm birth and fetal death up to April 2014 [18]. No safety concerns were identified, as none of the studies reported an increased association between influenza vaccine receipt and adverse outcomes. To the contrary, studies generally reported either no association or significant risk reductions for preterm birth (ranging from 14% to 37%) and late fetal death (ranging from 34% to 56%), which the authors cautioned could be attributed to important methodological limitations identified in many of the primary studies [18]. Another review of 19 studies published up to March 2014 [65] also concluded that there was no evidence to suggest any adverse effect of influenza vaccination during pregnancy on congenital anomalies or fetal death, but noted the limited number and quality of available studies.

Two methodological evaluations [19,66] and a WHO expert consultation [22] recently explored issues related to the interpretation of observational studies reporting beneficial effects of maternal influenza immunization on adverse birth outcomes. In brief, existing observational studies have numerous limitations in study design and analytical methods [19]. The most compelling explanation for any large protective effect of influenza vaccination on adverse birth outcomes in observational studies is residual confounding due to preferential selection of vaccination by pregnant women with a more favorable health profile who, in turn, may be less likely to have an adverse birth outcome. This phenomenon has been well documented in observational studies of influenza vaccination in elderly adults [67,68]. Moreover, one study that modeled data using a range of plausible scenarios for rates of influenza illness during pregnancy, vaccine effectiveness, and vaccine uptake, showed that the protective benefits of influenza vaccination for an outcome such as preterm birth would be expected to be very small and, thus, difficult to detect [66]. Taken together with what is known about the multi-factorial etiology of most adverse birth outcomes, it seems unlikely that influenza immunization would produce an improvement in birth outcomes to the magnitude observed by some observational studies [22].

RCT results with respect to birth outcomes have also been mixed. In secondary analyses among a subset of 116 infants born during the influenza season, the trial conducted in Bangladesh found significantly higher mean birth weight (190 g, 95% CI: 93–78) and a lower percentage of SGA infants (37% reduction, 95% CI: 0–60) born to influenza-vaccinated women compared with infants born to women vaccinated with pneumococcal polysaccharide vaccine [69]. The recently-published trial from Nepal, the only RCT to include low birth weight (defined as <2500 g) as a primary outcome [28], also found an increase in mean birth weight (influenza vaccine arm: 2803 g, placebo arm: 2761 g; 42-g increase, 95% CI: 8–76) corresponding to a 15% reduction in low birth weight (95% CI: 3–25) among infants born to influenza-vaccinated mothers compared with infants in the placebo group. However, there were no differences in SGA or preterm birth. In contrast, the two trials from Africa did not detect any differences in preterm birth [16], low birth weight [16,27], or mean birth weight [16,27] between treatment groups overall or when assessed by maternal influenza infection status [70] or birth during the influenza season [27]. It remains unclear whether the divergent findings resulted from protocol differences [71], or due to geographical differences in influenza biology and/or baseline maternal-newborn health status.

4. Interpretation

Across the evidence compiled by this working group, the following general observations can be made:

Apart from the four influenza vaccine RCTs, which were conducted in Bangladesh [15], South Africa [16], Mali [27], and Nepal [28], LMICs were substantially under-represented among the primary publications included in each of the four WHO-initiated reviews, with much of the data originating from the United States in particular;
With the exception of LCI hospitalization among infants under six months of age, limited influenza incidence data were available for seasons outside of the 2009 H1N1 pandemic period;
A low number of studies, combined with high clinical, design and statistical heterogeneity, precluded quantitative meta-analysis in three of the four reviews initiated by the working group; and
The overall quality of evidence in the working group-initiated systematic reviews, as assessed using the GRADE approach, was generally considered low to very low for most outcomes (Table 3).

WHO has noted that policy-makers from LMICs are likely to place higher value on vaccines with demonstrated impact on severe influenza disease [72]. Thus, incidence estimates of influenza disease are essential for informing vaccine policy, investment decisions, and quantifying the potential impact of influenza vaccination programs on important public health outcomes [73,74]. Our systematic reviews of LCI incidence rates in pregnant women [29] and infants under six months [30] found a limited number of studies, a wide range of estimates in incidence rates, and limited representation from LMICs where disease burden and severity may differ due to differences in influenza epidemiology, access to care, testing resources and practices, and background prevalence of underlying comorbid diseases such as HIV infection. A 2015 Bill and Melinda Gates Foundation convening of experts in maternal immunization reached a similar conclusion concerning the lack of robust influenza data to support financial and policy decisions, particularly for LMICs [75]. Given the predominance of high-income country studies, study results may be affected by access to high-quality medical care. Estimates from a systematic review of influenza in young children indicate a higher burden among infants under one year of age in LMICs compared with high-income countries [46]. The lack of more definitive baseline influenza disease burden estimates, including vaccine-preventable disease incidence against severe clinical outcomes such as pneumonia or respiratory disease mortality [53], poses challenges for estimating the public health impact of incorporating maternal influenza immunization into national programs.

Similarly, evidence on the association between maternal influenza virus infection and adverse birth outcomes is necessary for clarifying expectations for improvement in these outcomes following influenza immunization [19,76]. Despite a small number of high-quality studies suggesting an association between severe H1N1pdm09 influenza disease and preterm birth and fetal death, the magnitude of increased risk is unclear [32]. It also remains unclear whether adverse events were specific to H1N1pdm09 virus exposure or more generally to influenza virus exposure. Moreover, the observational evidence that maternal influenza immunization reduces the risk of such adverse birth outcomes is inconsistent and of limited quality. Recent examinations of the plausibility of this phenomenon recommend that studies suggesting that maternal vaccination has a substantial beneficial effect on adverse birth outcomes such as preterm birth or fetal death should be interpreted with caution [19,22,66]. The clinical significance of the 42-g increase in birth weight found in the recent Nepal study [28] deserves further investigation. Despite uncertain data on vaccine impact on adverse birth outcomes, there is nevertheless strong and consistent evidence that influenza immunization during pregnancy prevents influenza virus infection both in pregnant women and their infants, and thus should continue to serve as a primary guide for vaccine policy and investment strategies.

5. Recommendations

This WHO working group was initiated to review and interpret the evidence base used for global policy and funding decisions concerning maternal influenza immunization programs. The working group synthesized the current evidence on this topic (Table 3) and identified numerous evidence gaps (Table 5). Specific recommendations relating to each of the four systematic reviews carried out by the working group can be found in Table 5. Finally, we offer the following general research recommendations:

Best practices standards for the design, conduct, analysis, and reporting of influenza surveillance among pregnant women and infants under six months, along with uniformly-defined outcome measures and safety measures (e.g., recent Brighton Collaboration and STROBE recommendations [77,78]), would help improve study quality and comparability.
Global standards for influenza surveillance recommend specific age groupings for reporting of data which include 0 to <2 years [79]. Recommendations to report disease data for infants under six months of age would facilitate systematic reviews and comparisons of results most relevant to maternal influenza immunization strategies.
More geographically diverse and higher-quality studies are needed. The literature is dominated by case reports and case series published during the 2009 H1N1 pandemic. While these are important to alert medical and public health professionals about groups with unexpected risks, they are extremely limited in their ability to quantify disease risk or incidence, especially outside of pandemic time periods. Well-designed, multi-year comparative studies (disease risk) or population-based surveillance with systematic case ascertainment (disease incidence) are required, particularly from LMICs.
As data on LCI outcomes from resource-poor countries may exist but remain unpublished [46], and many studies of LCI outcomes among infants have not reported data on infants under six months of age separately, efforts should be directed toward aggregating these existing data before embarking on new studies in this age group.
Phase IV clinical trials conducted to inform WHO policy recommendations should consider more severe illness endpoints, as these are the most important outcomes for many decision makers in LMICs [72]. Vaccine probe studies that include severe illness endpoints among pregnant women and young infants as well as measurement of all potentially important outcomes regardless of influenza confirmation (e.g., all-cause acute lower respiratory tract infection hospitalization [80]) would be especially useful to quantify the public health benefit of influenza vaccine programs [53,81]. However, we acknowledge that variable vaccine effectiveness and the large sample size required for studies of severe outcomes could make this approach unfeasible for logistic and financial reasons.
Given limitations in the evidence base, we were unable to generate definitive pooled estimates for most of the key parameters pursued by this working group. Moreover, expected high heterogeneity across influenza seasons, geographies, and populations would suggest that no single estimate of each parameter will sufficiently inform impact and economic models. Our evidence-based reviews can, however, be used to provide a range of inputs for future impact and economic models, which should employ a probabilistic approach to generate outputs, tailored to the different context-specific geographical and socioeconomic factors of interest to policy makers.

Table 5.

Summary of remaining gaps in the evidence and WHO working group recommendations for future research.

Review	Evidence gaps and recommendations

A: Incidence of laboratory-confirmed influenza (LCI) outcomes among pregnant women [29]	Evidence gaps: • Few studies describe incidence rates of LCI outcomes in pregnant women, particularly from seasonal epidemics • No studies were identified from low-income countries Recommendations: • Future incidence studies should be conducted using consistent, high-quality surveillance methods • Studies from LMICs and during seasonal epidemics should be a priority
B: Incidence of LCI outcomes among infants under six months of age [30]	Evidence gaps: • Limited number of incidence studies in this policy-relevant age group • Limited number of studies were identified from LMICs • Few studies evaluated LCI mortality, and few events were ascertained in studies assessing this outcome Recommendations: • High-quality population-based surveillance of LCI outcomes in infants under six months should be conducted, particularly in LMICs
C: Pregnancy as a risk factor for severe outcomes from influenza virus infection [31]	Evidence gaps: • Limited evidence from influenza seaons other than 2009 H1N1 pandemic period • Limited evidence from LMICs • As a whole, current studies could not distinguish between whether pregnant women with influenza were hospitalized due to disease severity or for precautionary reasons related to concerns for fetal well-being Recommendations: • A longitudinal study where a community-derived cohort of pregnant and non-pregnant women of reproductive age with LCI influenza infection are prospectively followed for severe LCI outcomes
D: Maternal influenza virus infection and adverse birth outcomes [32]	Evidence gaps: • Evidence is imbalanced with RCTs coming from LMICs, while observational studies are from high-income countries • Lack of evidence on the possible interaction between stage of pregnancy and influenza infection on adverse birth outcomes • Limited evidence of the impact of influenza other than H1N1pdm09 influenza on birth outcomes • Limited evidence on the impact of influenza serotype on fetal death Recommendations: • Future high-quality studies should be conducted to assess the impact of maternal seasonal influenza infection during pregnancy on birth outcomes – A multi-site/multi-national study should be considered to be able to identify less common adverse birth outcomes, such as fetal death or congenital anomalies – Ideally, LCI illness should be used as the study exposure, with ascertainment of the gestational timing of the infection

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Abbreviations: LCI: laboratory-confirmed influenza; LMICs: low- and middle-income countries.

6. Conclusion

This working group conducted an extensive review of disease burden related to maternal influenza immunization and concluded that available data are currently insufficient to estimate the potential impact of maternal immunization programs on severe influenza illness, particularly from LMICs. However, it is worth noting that there are broader potential benefits of an influenza vaccine program in pregnant women not considered by the working group. Influenza epidemics result in substantial economic costs and prevention of influenza illness can decrease ambulatory care visits, inappropriate antibiotic prescribing, and work/school absenteeism [12]. We did not attempt to quantify these additional impacts of influenza but they are important considerations for policy makers reviewing influenza programs. For most LMICs, maternal influenza immunization programs are the most programmatically feasible given the relative strength of antenatal care as an immunization platform [82]. Moreover, integration of immunization and health care services can improve healthcare delivery overall [83,84], suggesting that a Gavi investment in maternal immunization may have additional benefits to antenatal care overall [24]. Lastly, countries that have systems to regulate, procure, and distribute seasonal influenza vaccines will be better able to respond to a future influenza pandemic [85]. There are many potential benefits to a maternal influenza immunization program and more effort is needed to quantify their full public health value to inform vaccine policy and investment decisions.

Supplementary Material

NIHMS1714942-supplement-Supplementary_Material.docx^{(122.3KB, docx)}

Acknowledgments

The WHO taskforce to evaluate influenza data to inform vaccine impact and economic modeling had the following additional members: Simon Cauchemez (Institute Pasteur, France), Nathorn Chaiyakunapruk (Monash University, Malaysia), Brenda Coleman (University of Toronto, Canada), Michael Kramer (McGill University, Canada), Anand Krishnan (All India Institute of Medical Sciences), and Yot Teerawattananon (Health Intervention and Technology Assessment Program, Thailand). The authors thank them for their contributions to the Taskforce. The authors also thank Chiara Gerardi and Marc Perut of WHO for administrative and technical support. We are grateful to Ashley Charbonneau (Children’s Hospital of Eastern Ontario Research Institute) for assistance producing tables and figures and to Lindsay Wilson (Ottawa Hospital Research Institute) for editorial and formatting assistance for this manuscript. The authors acknowledge the contributions of the Centers for Disease Control and Prevention (CDC), which provides financial support to the World Health Organization Initiative for Vaccine Research (U50 CK000431).

Potential conflicts of interest:

Deshayne B. Fell: Has received travel support from WHO to attend WHO meetings.
Eduardo Azziz-Baumgartner: None to declare.
Michael G. Baker: None to declare.
Maneesh Batra: None to declare.
Julien Beauté: None to declare.
Philippe Beutels: A university chair in CHERMID at the University of Antwerp was supported by a (unrestricted) gift from Pfizer (2009–2016) and GSK (since 2016). There is no connection between either Pfizer, GSK or the research of the chair holder (Niel Hens) and this article.
Niranjan Bhat: None to declare.
Zulfiqar A. Bhutta: None to declare.
Cheryl Cohen: Has received travel support from WHO to attend WHO meetings. Has received travel support from Parexel to attend meetings. Has received grant support from Sanofi.
Bremen De Mucio: None to declare.
Bradford D. Gessner: For work on this manuscript, BDG was employed by AMP, which receives or received during the past 2 years grant support from Hilleman Laboratories, Merck, GSK, Pfizer, and Sanofi-Pasteur; none of these grants were for work on influenza.
Michael G. Gravett: None to declare.
Mark A. Katz: None to declare.
Marian Knight: Has received travel support from WHO to attend a WHO meeting, and has received grant support from UK National Institute for Health Research for a surveillance study of seasonal influenza in pregnancy.
Vernon J. Lee: Has received travel support from WHO to attend WHO meetings.
Mark Loeb: Has received research grants from Sanofi and Sequris related to influenza vaccines.
Johannes M. Luteijn: None to declare.
Helen Marshall: Investigator on clinical vaccine trials sponsored by Industry. Institution receives grant funding for Investigator initiated studies from Industry including GlaxoSmithKline, Pfizer, Novavax and Sequiris.
Harish Nair: Has received research support from WHO to estimate the influenza disease burden in children.
Rehana A. Salam: None to declare.
David A. Savitz: Has received support from PATH to evaluate methodologies of studies assessing influenza vaccine association with adverse birth events.
Suzanne Jacob Serruya: None to declare.
Becky Skidmore: Was employed as an independent consultant for work on this project.
Kevin Pottie: None to declare.
Justin R. Ortiz: None to declare.

Footnotes

Disclaimer

Julien Beauté is an employee of the European Centre for Disease Prevention and Control. Justin R. Ortiz is an employee of the World Health Organization. The authors alone are responsible for the views expressed in this publication and they do not necessarily represent the decisions or policies of the European Centre for Disease Prevention and Control, the World Health Organization, or the United States Centers for Disease Control and Prevention.

Appendix A. Supplementary material

Supplementary data associated with this article can be found, in the online version, at http://dx.doi.org/10.1016/j.vaccine.2017.08.037.

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PERMALINK

Influenza epidemiology and immunization during pregnancy: Final report of a World Health Organization working group

Deshayne B Fell

Eduardo Azziz-Baumgartner

Michael G Baker

Maneesh Batra

Julien Beauté

Philippe Beutels

Niranjan Bhat

Zulfiqar A Bhutta

Cheryl Cohen

Bremen De Mucio

Bradford D Gessner

Michael G Gravett

Mark A Katz

Marian Knight

Vernon J Lee

Mark Loeb

Johannes M Luteijn

Helen Marshall

Harish Nair

Kevin Pottie

Rehana A Salam

David A Savitz

Suzanne J Serruya

Becky Skidmore

Justin R Ortiz

Abstract

1. Background and overview of World Health Organization (WHO) working group procedures

2. Summary of key findings from WHO working group-initiated systematic reviews

Fig. 1.

Table 1.

Table 3.

2.1. Review A: Incidence of laboratory-confirmed influenza (LCI) outcomes among pregnant women [29]

Table 2.

2.2. Review B: Incidence of LCI outcomes among infants under six months of age [30]

2.3. Review C: Pregnancy as a risk factor for severe outcomes from influenza virus infection [31]

2.4. Review D: Maternal influenza virus infection and adverse birth outcomes [32]

3. Results from other evidence assembled by the WHO working group

3.1. Vaccine efficacy against LCI infection in pregnant women and newborns

Table 4.

3.2. Influenza vaccination and birth outcomes

4. Interpretation

5. Recommendations

Table 5.

6. Conclusion

Supplementary Material

Acknowledgments

Footnotes

References

Associated Data

Supplementary Materials

ACTIONS

PERMALINK

RESOURCES

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