Evidence map›Paper›PMID 26494627›Full record

ArticleVaccine2015

Risk factors for severe outcomes among members of the United States military hospitalized with pneumonia and influenza, 2000-2012.

Maria D Van Kerkhove, Michael J Cooper, Angelia A Cost, Jose L Sanchez, Steven Riley

Abstract read
In one paragraph

Article in Vaccine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Maria D Van KerkhoveMRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London W2 1 PG, UK; Center for Global Health, Institut Pasteur, Paris 75015, France. Electronic address: maria.van-kerkhove@pasteur.fr.
Michael J CooperArmed Forces Health Surveillance Center, 11800 Tech Road, Suite 220, Silver Spring, MD 20904, USA.
Angelia A CostArmed Forces Health Surveillance Center, 11800 Tech Road, Suite 220, Silver Spring, MD 20904, USA; Cherokee Nation Technology Solutions, in support of the Armed Forces Health Surveillance Center, 11800 Tech Road, Suite 220, Silver Spring, MD 20904, USA.
Jose L SanchezCherokee Nation Technology Solutions, in support of the Armed Forces Health Surveillance Center, 11800 Tech Road, Suite 220, Silver Spring, MD 20904, USA.
Steven RileyMRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London W2 1 PG, UK.
Armed Forces Health Surveillance Center · USCherokee Nation · USImperial College London · GBInstitut Pasteur · FR

Funding

Models for synthesising molecular, clinical and epidemiological data, and translaU01GM110721 · NIGMS · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI CAUCHEMEZ, SIMON, FERGUSON, NEIL MORRIS · 2014 to 2018
$1.9M
Medical Research Council MR/J008761/1Medical Research Council MR/K010174/1NIGMS NIH HHS U01 GM110721NIGMS NIH HHS U01 GM110721-01Wellcome Trust 093488/Z/10/Z
6 · The paper itself

Abstract

backgroundThe progression from hospitalization for a respiratory infection to requiring substantial supportive therapy is a key stage of the influenza severity pyramid. Respiratory infections are responsible for 300,000-400,000 medical encounters each year among US military personnel, some of which progress to severe acute respiratory infections.

methodsWe obtained data on 11,086 hospitalizations for pneumonia and influenza (P&I) among non-recruit US military service members during the period of 1 January 2000 through 31 December 2012. From these, we identified 512 P&I hospitalizations that progressed to severe episodes using standard case definitions. We evaluated the effect of demographic and occupational characteristics, co-morbid conditions, and history of influenza vaccination on the risk of a hospitalized P&I case becoming a severe case. We also evaluated the risk of a severe outcome and the length of time since influenza vaccination (within 180, 60, and 30 days).

resultsThe median age of subjects at the time of the P&I episode was 32 years (range, 28-40) and subjects were predominantly male (89.5%). In a univariate analysis, demographic risk factors for a severe episode included service in the US Air Force (RR=1.6 relative to US Army, 95%CI 1.3-2.1), US Coast Guard (RR=2.1, 1.2-3.7) or US Navy (RR=1.4, 1.1-1.8). Being born in the US and recent influenza vaccination (within 180 days of episode) were protective against developing severe disease. Among co-morbid conditions, univariate risk factors for severe disease included chronic renal or liver disease (RR=4.98, 95%CI 4.1-6.1), diseases of the circulatory system (RR=3.1, 95%CI 2.6-3.7), diabetes mellitus (RR=2.3, 95%CI 1.5-3.6), obesity (RR=1.6, 95%CI 1.2-2.1), cancer (RR=1.6, 95%CI 1.3-2.0), and chronic obstructive pulmonary disease (RR=1.4, 95%CI 1.1-1.7). Although many of the risk factors found to be significant in univariate analysis were no longer significant under a multivariate analysis, receipt of any influenza vaccine within 180 days of episode remained protective (RR=0.81, 95%CI 0.67-0.99), while serving in the US Coast Guard (RR=1.9, 95%CI 1.1-3.4) or US Air Force (RR=1. 5, 95%CI 1.2-2.0), presence of renal or liver disease (RR=3.6, 95%CI 2.9-4.6), and diseases of the circulatory system (RR=2.2, 95%CI 1.8-2.8), remained significantly associated with a higher risk of developing severe disease.

conclusionsIn a large cohort, after adjusting for many possible risk factors, influenza vaccination was protective against severe episodes among P&I hospitalizations. The service-specific (US Coast Guard or US Air Force) increased risk may represent some differences in data (e.g., coding or reporting practices) as opposed to genuine differences in physiological outcome. Our findings suggest that renal and liver disease as well as diseases of the circulatory system may contribute to influenza severity in this population independently of age and other potential comorbidities. These findings provide additional evidence for the prioritization of specific risk groups within the US military for influenza vaccination.

Indexed as

AdultAgedFemaleHospitalizationHumansInfluenza, HumanInfluenza VaccinesInternational Classification of DiseasesMaleMiddle AgedMilitary PersonnelOutcome Assessment, Health CarePneumoniaRisk FactorsUnited StatesVaccinationInfluenza VaccinesInfluenzaMilitaryPneumoniaRisk factorsVaccination

Identifiers

PMID26494627
PMCPMC4822334
OpenAlexW2173377491

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.