Evidence map›Paper›PMID 29433471›Full record

ArticleBMC infectious diseases2018

Mortality estimates among adult patients with severe acute respiratory infections from two sentinel hospitals in southern Arizona, United States, 2010-2014.

Steve R Barnes, Zimy Wansaula, Kristen Herrick, Eyal Oren, Kacey Ernst, Sonja J Olsen, Mariana G Casal

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. The Burden of All-Cause Mortality Following Influenza-Associated Hospitalizations: Influenza Hospitalization Surveillance Network, 2010-2019.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
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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

7 authors at 3 institutions in 1 country.

Steve R BarnesArizona Department of Health Services, Border Infectious Disease Surveillance Program, 400 West Congress, Suite 116, Tucson, AZ, 85701, USA.
Zimy WansaulaArizona Department of Health Services, Border Infectious Disease Surveillance Program, 400 West Congress, Suite 116, Tucson, AZ, 85701, USA.
Kristen HerrickArizona Department of Health Services, Office of Infectious Disease Services, 150 N 18th Ave Phoenix, Phoenix, AZ, 85007, USA.
Eyal OrenMel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N Martin Ave, Tucson, AZ, 85724, USA.
Kacey ErnstMel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N Martin Ave, Tucson, AZ, 85724, USA.
Sonja J OlsenInfluenza Division, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329-4027, USA.
Mariana G CasalArizona Department of Health Services, Border Infectious Disease Surveillance Program, 400 West Congress, Suite 116, Tucson, AZ, 85701, USA. Mariana.Casal@azdhs.gov.ORCID 0000-0001-8937-2588
Arizona Department of Health Services · USUniversity of Arizona · USCenters for Disease Control and Prevention · US

Funding

Epidemiology and Laboratory Capacity for Infectious Diseases cooperative agreement 3U50CK0004
6 · The paper itself

Abstract

backgroundFrom October 2010 through February 2016, Arizona conducted surveillance for severe acute respiratory infections (SARI) among adults hospitalized in the Arizona-Mexico border region. There are few accurate mortality estimates in SARI patients, particularly in adults ≥ 65 years old. The purpose of this study was to generate mortality estimates among SARI patients that include deaths occurring shortly after hospital discharge and identify risk factors for mortality.

methodsPatients admitted to two sentinel hospitals between 2010 and 2014 who met the SARI case definition were enrolled. Demographic data were used to link SARI patients to Arizona death certificates. Mortality within 30 days after the date of admission was calculated and risk factors were identified using logistic regression models.

resultsAmong 258 SARI patients, 47% were females, 51% were white, non-Hispanic and 39% were Hispanic. The median age was 63 years (range, 19 to 97 years) and 80% had one or more pre-existing health condition; 9% died in hospital. Mortality increased to 12% (30/258, 30% increase) when electronic vital records and a 30-day post-hospitalization time frame were used. Being age ≥ 65 years (OR = 4.0; 95% CI: 1.6-9.9) and having an intensive care unit admission (OR = 7.4; 95% CI: 3.0-17.9) were independently associated with mortality.

conclusionThe use of electronic vital records increased SARI-associated mortality estimates by 30%. These findings may help guide prevention and treatment measures, particularly in high-risk persons in this highly fluid border population.

Indexed as

Acute DiseaseAdultAgedAged, 80 and overArizonaFemaleHospitalsHumansIntensive Care UnitsKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedOdds RatioRespiratory Tract InfectionsRisk FactorsArizonaDeath certificatesFatal outcomeInfluenzaRespiratory tract diseasesSurveillance

Identifiers

PMID29433471
PMCPMC5809880
OpenAlexW2792039948

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.