Evidence map›Paper›PMID 34913982›Full record

ArticleJAMA network open2021

Performance Assessment of the Universal Vital Assessment Score vs Other Illness Severity Scores for Predicting Risk of In-Hospital Death Among Adult Febrile Inpatients in Northern Tanzania, 2016-2019.

John P Bonnewell, Matthew P Rubach, Deng B Madut, Manuela Carugati, Michael J Maze, Kajiru G Kilonzo, Furaha Lyamuya, Annette Marandu, Nathaniel H Kalengo, Bingileki F Lwezaula and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 18% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 4 countries.

John P BonnewellDepartment of Pathology, Duke University Medical Center, Durham, North Carolina.
Matthew P RubachDivision of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina.
Deng B MadutDivision of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina.
Manuela CarugatiDivision of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina.
Michael J MazeDepartment of Medicine, University of Otago, Dunedin, New Zealand.
Kajiru G KilonzoKilimanjaro Christian Medical Centre, Moshi, Tanzania.
Furaha LyamuyaKilimanjaro Christian Medical Centre, Moshi, Tanzania.
Annette MaranduMawenzi Regional Referral Hospital, Moshi, Tanzania.
Nathaniel H KalengoKilimanjaro Christian Medical Centre, Moshi, Tanzania.
Bingileki F LwezaulaMawenzi Regional Referral Hospital, Moshi, Tanzania.
Blandina T MmbagaDuke Global Health Institute, Duke University, Durham, North Carolina.
Venance P MaroKilimanjaro Christian Medical Centre, Moshi, Tanzania.
John A CrumpDivision of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina.
Duke University · USTumaini University · TZSt. Francis Referral Hospital · TZDuke Medical Center · USKilimanjaro Christian Medical Centre · TZNational University of Singapore · SGUniversity of Otago · NZ

Funding

Investigating Febrile Deaths in Tanzania (INDITe)R01AI121378 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$2.7M
Viral Zoonoses and Severe Febrile Illness in Northern TanzaniaK23AI116869 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$896k
NIAID NIH HHS K23 AI116869NIAID NIH HHS R01 AI121378
6 · The paper itself

Abstract

Importance: Severity scores are used to improve triage of hospitalized patients in high-income settings, but the scores may not translate well to low- and middle-income settings such as sub-Saharan Africa. Objective: To assess the performance of the Universal Vital Assessment (UVA) score, derived in 2017, compared with other illness severity scores for predicting in-hospital mortality among adults with febrile illness in northern Tanzania. Design, Setting, and Participants: This prognostic study used clinical data collected for the duration of hospitalization among patients with febrile illness admitted to Kilimanjaro Christian Medical Centre or Mawenzi Regional Referral Hospital in Moshi, Tanzania, from September 2016 through May 2019. All adult and pediatric patients with a history of fever within 72 hours or a tympanic temperature of 38.0 °C or higher at screening were eligible for enrollment. Of 3761 eligible participants, 1132 (30.1%) were enrolled in the parent study; of those, 597 adults 18 years or older were included in this analysis. Data were analyzed from December 2019 to September 2021. Exposures: Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), quick Sequential Organ Failure Assessment (qSOFA), Systemic Inflammatory Response Syndrome (SIRS) assessment, and UVA. Main Outcomes and Measures: The main outcome was in-hospital mortality during the same hospitalization as the participant's enrollment. Crude risk ratios and 95% CIs for in-hospital death were calculated using log-binomial risk regression for proposed score cutoffs for each of the illness severity scores. The area under the receiver operating characteristic curve (AUROC) for estimating the risk of in-hospital death was calculated for each score. Results: Among 597 participants, the median age was 43 years (IQR, 31-56 years); 300 participants (50.3%) were female, 198 (33.2%) were HIV-infected, and in-hospital death occurred in 55 (9.2%). By higher risk score strata for each score, compared with lower risk strata, risk ratios for in-hospital death were 3.7 (95% CI, 2.2-6.2) for a MEWS of 5 or higher; 2.7 (95% CI, 0.9-7.8) for a NEWS of 5 or 6; 9.6 (95% CI, 4.2-22.2) for a NEWS of 7 or higher; 4.8 (95% CI, 1.2-20.2) for a qSOFA score of 1; 15.4 (95% CI, 3.8-63.1) for a qSOFA score of 2 or higher; 2.5 (95% CI, 1.2-5.2) for a SIRS score of 2 or higher; 9.1 (95% CI, 2.7-30.3) for a UVA score of 2 to 4; and 30.6 (95% CI, 9.6-97.8) for a UVA score of 5 or higher. The AUROCs, using all ordinal values, were 0.85 (95% CI, 0.80-0.90) for the UVA score, 0.81 (95% CI, 0.75-0.87) for the NEWS, 0.75 (95% CI, 0.69-0.82) for the MEWS, 0.73 (95% CI, 0.67-0.79) for the qSOFA score, and 0.63 (95% CI, 0.56-0.71) for the SIRS score. The AUROC for the UVA score was significantly greater than that for all other scores (P < .05 for all comparisons) except for NEWS (P = .08). Conclusions and Relevance: This prognostic study found that the NEWS and the UVA score performed favorably compared with other illness severity scores in predicting in-hospital mortality among a hospitalized cohort of adults with febrile illness in northern Tanzania. Given its reliance on readily available clinical data, the UVA score may have utility in the triage and prognostication of patients admitted to the hospital with febrile illness in low- to middle-income settings such as sub-Saharan Africa.

Indexed as

Hospital MortalitySeverity of Illness IndexAdultArea Under CurveChildEarly Warning ScoreFemaleFeverHospitalizationHumansInpatientsMaleMiddle AgedOrgan Dysfunction ScoresPredictive Value of TestsPrognosis

Identifiers

PMID34913982
PMCPMC8678687
OpenAlexW4200370638

What Socratic 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 Socratic graph.