Evidence map›Paper›PMID 34906189›Full record

ArticleConflict and health2021

Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger.

Patrick D M C Katoto, Issoufou Aboubacar, Batouré Oumarou, Eric Adehossi, Blanche-Philomene Melanga Anya, Aida Mounkaila, Adamou Moustapha, El Khalef Ishagh, Gbaguidi Aichatou Diawara, Biey Joseph Nsiari-Muzeyi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Conflict and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 3 countries.

Patrick D M C Katoto *Cochrane South Africa, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, Cape Town, 7501, South Africa.ORCID http://orcid.org/0000-0002-0553-201X
Issoufou Aboubacar *Country Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI, 1204, Niamey, Niger.
Batouré OumarouCountry Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI, 1204, Niamey, Niger.
Eric AdehossiDepartment of Internal Medicine, Niamey General Reference Hospital, BP 12674, Niamey, Niger.
Blanche-Philomene Melanga AnyaCountry Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI, 1204, Niamey, Niger.
Aida MounkailaDirectorate of Statistics, Ministry of Public Health, Niamey, Niger.
Adamou MoustaphaDirection of Surveillance and Response to Epidemics, Ministry of Public Health, Niamey, Niger.
El Khalef IshaghCountry Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI, 1204, Niamey, Niger.
Gbaguidi Aichatou DiawaraCountry Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI, 1204, Niamey, Niger.
Biey Joseph Nsiari-MuzeyiSub-Regional Office for West Africa, World Health Organization, Independence Street, Gate 0058, Ouagadougou, Burkina Faso.
Tambwe DidierCountry Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI, 1204, Niamey, Niger.
Charles Shey WiysongeCochrane South Africa, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, Cape Town, 7501, South Africa. Charles.Wiysonge@mrc.ac.za.
United Nations Children's Fund Niger · NESouth African Medical Research Council · ZANational Hospital Niamey · NE

Funding

University of Pittsburgh HIV-Comorbidities Research Training Program in South AfricaD43TW010937 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NACHEGA, JEAN BISIMWA, SEEDAT, SORAYA · 2019 to 2023
$1.2M
FIC NIH HHS D43 TW010937World Health Organization 001
6 · The paper itself

Abstract

introductionCOVID-19 has spread across the African continent, including Niger. Yet very little is known about the phenotype of people who tested positive for COVID-19. In this humanitarian crises region, we aimed at characterizing variation in clinical features among hospitalized patients with COVID-19-like syndrome and to determine predictors associated with COVID-19 mortality among those with confirmed COVID-19.

methodsThe study was a retrospective nationwide cohort of hospitalized patients isolated for COVID-19 infection, using the health data of the National Health Information System from 19 March 2020 (onset of the pandemic) to 17 November 2020. All hospitalized patients with COVID-19-like syndrome at admission were included. A Cox-proportional regression model was built to identify predictors of in-hospital death among patients with confirmed COVID-19.

resultsSixty-five percent (472/729) of patients hospitalized with COVID-19 like syndrome tested positive for SARS-CoV-2 among which, 70 (15%) died. Among the patients with confirmed COVID-19 infection, age was significantly associated with increased odds of reporting cough (adjusted odds ratio [aOR] 1.02; 95% confidence interval [CI] 1.01-1.03) and fever/chills (aOR 1.02; 95% CI 1.02-1.04). Comorbidity was associated with increased odds of presenting with cough (aOR 1.59; 95% CI 1.03-2.45) and shortness of breath (aOR 2.03; 95% CI 1.27-3.26) at admission. In addition, comorbidity (adjusted hazards ratio [aHR] 2.04; 95% CI 2.38-6.35), shortness of breath at baseline (aHR 2.04; 95% CI 2.38-6.35) and being 60 years or older (aHR 5.34; 95% CI 3.25-8.75) increased the risk of COVID-19 mortality two to five folds.

conclusionComorbidity, shortness of breath on admission, and being aged 60 years or older are associated with a higher risk of death among patients hospitalized with COVID-19 in a humanitarian crisis setting. While robust prospective data are needed to guide evidence, our data might aid intensive care resource allocation in Niger.

Indexed as

AfricaBaseline characteristicsHumanitarian crisisMortalitySARS-CoV-2

Identifiers

PMID34906189
PMCPMC8669419
OpenAlexW4200273566

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.