Evidence map›Paper›PMID 39416389›Full record

ArticleEClinicalMedicine2024

Predicting mortality in febrile adults: comparative performance of the MEWS, qSOFA, and UVA scores using prospectively collected data among patients in four health-care sites in sub-Saharan Africa and South-Eastern Asia.

Sham Lal, Manophab Luangraj, Suzanne H Keddie, Elizabeth A Ashley, Oliver Baerenbold, Quique Bassat, John Bradley, John A Crump, Nicholas A Feasey, Edward W Green and 8 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

18 authors.

Sham LalFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Manophab LuangrajLao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Mahosot Hospital, Vientiane, Lao PDR, Laos.
Suzanne H KeddieFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
Elizabeth A AshleyLao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Mahosot Hospital, Vientiane, Lao PDR, Laos.
Oliver BaerenboldFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
Quique BassatISGlobal, Hospital Clínic - Universitat de Barcelona, Barcelona, Spain.
John BradleyFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
John A CrumpCentre for International Health, University of Otago, Dunedin, New Zealand.
Nicholas A FeaseyFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Edward W GreenDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Kevin C KainSandra Rotman Centre for Global Health, MaRS Centre, Department of Medicine, University Health Network-Toronto General Hospital, University of Toronto, 101 College St TMDT 10-360A, Toronto, ON M5G 1L7, Canada.
Ioana D OlaruFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
David G LallooDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Chrissy H RobertsFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
David C W MabeyFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Christopher C MooreDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, USA.
Heidi HopkinsFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Febrile Illness Evaluation in a Broad Range of Endemicities (FIEBRE) Study Consortium

Funding

Medical Research Council MR/S004793/1
6 · The paper itself

Abstract

Background: Clinical severity scores can identify patients at risk of severe disease and death, and improve patient management. The modified early warning score (MEWS), the quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA), and the Universal Vital Assessment (UVA) were developed as risk-stratification tools, but they have not been fully validated in low-resource settings where fever and infectious diseases are frequent reasons for health care seeking. We assessed the performance of MEWS, qSOFA, and UVA in predicting mortality among febrile patients in the Lao PDR, Malawi, Mozambique, and Zimbabwe. Methods: We prospectively enrolled in- and outpatients aged ≥ 15 years who presented with fever (≥37.5 °C) from June 2018-March 2021. We collected clinical data to calculate each severity score. The primary outcome was mortality 28 days after enrolment. The predictive performance of each score was determined using area under the receiver operating curve (AUC). Findings: A total of 2797 participants were included in this analysis. The median (IQR) age was 32 (24-43) years, 38% were inpatients, and 60% (1684/2797) were female. By the time of follow-up, 7% (185/2797) had died. The AUC (95% CI) for MEWS, qSOFA and UVA were 0.67 (0.63-0.71), 0.68 (0.64-0.72), and 0.82 (0.79-0.85), respectively. The AUC comparison found UVA outperformed both MEWS (p < 0.001) and qSOFA (p < 0.001). Interpretation: We showed that the UVA score performed best in predicting mortality among febrile participants by the time follow-up compared with MEWS and qSOFA, across all four study sites. The UVA score could be a valuable tool for early identification, triage, and initial treatment guidance of high-risk patients in resource-limited clinical settings. Funding: FCDO.

Indexed as

Area under the curveFeverMEWSMortalityPrognostic scoresqSOFASeverity scoresUVA

Identifiers

PMID39416389
PMCPMC11474423

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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.