Evidence map›Paper›PMID 32084167›Full record

ArticlePloS one2020

The inability to walk unassisted at hospital admission as a valuable triage tool to predict hospital mortality in Rwandese patients with suspected infection.

Arthur Kwizera, Olivier Urayeneza, Pierre Mujyarugamba, Jens Meier, Andrew J Patterson, Lori Harmon, Joseph C Farmer, Martin W Dünser, “Sepsis in Resource-Limited Nations” Task Force of the Surviving Sepsis Campaign

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

9 authors at 7 institutions in 4 countries.

Arthur KwizeraDepartment of Anaesthesia and Critical Care, Makerere University College of Health Sciences, Kampala, Uganda.
Olivier UrayenezaGitwe Hospital and Gitwe School of Medicine, Gitwe, Rwanda.
Pierre MujyarugambaGitwe Hospital and Gitwe School of Medicine, Gitwe, Rwanda.
Jens MeierDepartment of Anesthesiology and Intensive Care Medicine, Kepler University Hospital and Johannes Kepler University Linz, Linz, Austria.
Andrew J PattersonDepartment of Anesthesiology, Emory University, Atlanta, Georgia, United States of America.
Lori HarmonSociety of Critical Care Medicine on behalf of the Surviving Sepsis Campaign, Mount Prospect, IL, United States of America.
Joseph C FarmerDepartment of Critical Care Medicine, Mayo Clinic, Phoenix, AZ, United States of America.
Martin W DünserDepartment of Anesthesiology and Intensive Care Medicine, Kepler University Hospital and Johannes Kepler University Linz, Linz, Austria.ORCID 0000-0002-6406-0307
“Sepsis in Resource-Limited Nations” Task Force of the Surviving Sepsis Campaign
Johannes Kepler University of Linz · ATEmory University · USInstitut Supérieur Pédagogique de Gitwe · RWLos Angeles Medical Center · USMakerere University · UGMayo Clinic Hospital · USSociety of Critical Care Medicine · US

Funding

Wellcome TrustWellcome Trust 107742/Z/15/Z
6 · The paper itself

Abstract

objectiveTo assess the value of the inability to walk unassisted to predict hospital mortality in patients with suspected infection in a resource-limited setting.

methodsThis is a post hoc study of a prospective trial performed in rural Rwanda. Patients hospitalized because of a suspected acute infection and who were able to walk unassisted before this disease episode were included. At hospital presentation, the walking status was graded into: 1) can walk unassisted, 2) can walk assisted only, 3) cannot walk. Receiver operating characteristic (ROC) analyses and two-by-two tables were used to determine the sensitivity, specificity, negative and positive predictive values of the inability to walk unassisted to predict in-hospital death.

resultsOne-thousand-sixty-nine patients were included. Two-hundred-one (18.8%), 315 (29.5%), and 553 (51.7%) subjects could walk unassisted, walk assisted or not walk, respectively. Their hospital mortality was 0%, 3.8% and 6.3%, respectively. The inability to walk unassisted had a low specificity (20%) but was 100% sensitive (CI95%, 90-100%) to predict in-hospital death (p = 0.00007). The value of the inability to walk unassisted to predict in-hospital mortality (AUC ROC, 0.636; CI95%, 0.564-0.707) was comparable to that of the qSOFA score (AUC ROC, 0.622; CI95% 0.524-0.728). Fifteen (7.5%), 34 (10.8%) and 167 (30.2%) patients who could walk unassisted, walk assisted or not walk presented with a qSOFA score count ≥2 points, respectively (p<0.001). The inability to walk unassisted correlated with the presence of risk factors for death and danger signs, vital parameters, laboratory values, length of hospital stay, and costs of care.

conclusionsOur results suggest that the inability to walk unassisted at hospital admission is a highly sensitive predictor of in-hospital mortality in Rwandese patients with a suspected acute infection. The walking status at hospital admission appears to be a crude indicator of disease severity.

Indexed as

Severity of Illness IndexAdolescentAdultArea Under CurveChildDiagnostic Tests, RoutineFemaleHospitalizationHospital MortalityHumansInfectionsIntensive Care UnitsLength of StayMalePrognosisProspective Studies

Identifiers

PMID32084167
PMCPMC7034857
OpenAlexW3008535123

What OpenQuestion holds

Textmetadata
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.