Evidence map›Paper›PMID 35320314›Full record

ArticlePloS one2022

Performance of the Universal Vital Assessment (UVA) mortality risk score in hospitalized adults with infection in Rwanda: A retrospective external validation study.

Riley Hazard, Danstan Bagenda, Andrew J Patterson, Julia T Hoffman, Steven J Lisco, Olivier Urayeneza, Polyphile Ntihinyurwa, Christopher C Moore

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 pooled it
1.2field-weighted citation impact, top 22% 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, 4 syntheses or guidelines pooled it, 9 citations in OpenAlex.

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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

8 authors at 6 institutions in 3 countries.

Riley HazardUniversity of Melbourne, School of Population and Global Health, Melbourne, Australia.
Danstan BagendaDepartment of Anesthesiology, University of Nebraska Medical Center, Omaha, NE, United States of America.
Andrew J PattersonDepartment of Anesthesiology, Emory University, Atlanta, GA, United States of America.
Julia T HoffmanDepartment of Anesthesiology, University of Nebraska Medical Center, Omaha, NE, United States of America.
Steven J LiscoDepartment of Anesthesiology, University of Nebraska Medical Center, Omaha, NE, United States of America.
Olivier UrayenezaUniversity of Gitwe, School of Medicine, Gitwe, Rwanda.
Polyphile NtihinyurwaDepartment of Obstetrics and Gynecology, University of Rwanda, Kigali, Rwanda.
Christopher C MooreDivision of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, United States of America.ORCID 0000-0003-4649-0511
University of Nebraska Medical Center · USCalifornia Hospital Medical Center Foundation · USEmory University · USThe University of Melbourne · AUUniversity of Rwanda · RWUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe previously derived a Universal Vital Assessment (UVA) score to better risk-stratify hospitalized patients in sub-Saharan Africa, including those with infection. Here, we aimed to externally validate the performance of the UVA score using previously collected data from patients hospitalized with acute infection in Rwanda.

methodsWe performed a secondary analysis of data collected from adults ≥18 years with acute infection admitted to Gitwe District Hospital in Rwanda from 2016 until 2017. We calculated the UVA score from the time of admission and at 72 hours after admission. We also calculated quick sepsis-related organ failure assessment (qSOFA) and modified early warning scores (MEWS). We calculated amalgamated qSOFA scores by inserting UVA cut-offs into the qSOFA score, and modified UVA scores by removing the HIV criterion. The performance of each score determined by the area under the receiver operator characteristic curve (AUC) was the primary outcome measure.

resultsWe included 573 hospitalized adult patients with acute infection of whom 40 (7%) died in-hospital. The admission AUCs (95% confidence interval [CI]) for the prediction of mortality by the scores were: UVA, 0.77 (0.68-0.85); modified UVA, 0.77 (0.68-0.85); qSOFA, 0.66 (0.56-0.75), amalgamated qSOFA, 0.71 (0.61-0.80); and MEWS, 0.74 (0.64, 0.83). The positive predictive values (95% CI) of the scores at commonly used cut-offs were: UVA >4, 0.35 (0.15-0.59); modified UVA >4, 0.35 (0.15-0.59); qSOFA >1, 0.14 (0.07-0.24); amalgamated qSOFA >1, 0.44 (0.20-0.70); and MEWS >5, 0.14 (0.08-0.22). The 72 hour (N = 236) AUC (95% CI) for the prediction of mortality by UVA was 0.59 (0.43-0.74). The Chi-Square test for linear trend did not identify an association between mortality and delta UVA score at 72 hours (p = 0.82).

conclusionsThe admission UVA score and amalgamated qSOFA score had good predictive ability for mortality in adult patients admitted to hospital with acute infection in Rwanda. The UVA score could be used to assist with triage decisions and clinical interventions, for baseline risk stratification in clinical studies, and in a clinical definition of sepsis in Africa.

Indexed as

InfectionsSepsisAdultHospital MortalityHumansIntensive Care UnitsOrgan Dysfunction ScoresPrognosisRetrospective StudiesRisk FactorsROC CurveRwanda

Identifiers

PMID35320314
PMCPMC8942262
OpenAlexW4220937445

What OpenQuestion holds

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LicenceCC BY
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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.