Evidence map›Paper›PMID 35951497›Full record

ReviewPloS one2022

Risk factors for mortality among hospitalized COVID-19 patients in Northern Ethiopia: A retrospective analysis.

Haftom Temesgen Abebe, Afework Mulugeta, Yibrah Berhe, Kiros Berhane, Amir Siraj, Dawd Siraj, Maru Aregawi, Berhane Fseha, Mohamedawel Mohamedniguss Ebrahim, Solomon Hintsa and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 7 institutions in 3 countries.

Haftom Temesgen AbebeSchool of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.ORCID 0000-0001-6769-210X
Afework MulugetaSchool of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Yibrah BerheSchool of Medicine, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Kiros BerhaneDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Amir SirajDepartment of Biological Sciences and Notre Dame Environmental Change Initiative, University of Notre Dame, Notre Dame, IN, United States of America.
Dawd SirajDivision of Infectious Diseases, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Maru AregawiGlobal Malaria Program, World Health Organization, Geneva, Switzerland.
Berhane FsehaDepartment of Public Health, College of Health Sciences, Adigrat University, Adigrat, Ethiopia.
Mohamedawel Mohamedniguss EbrahimLaboratory Interdisciplinary Statistical Data Analysis, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Solomon HintsaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Aksum University, Aksum, Ethiopia.
Hagazi GebreSchool of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Abrahim Hassen MohammedTigray Health Bureau, Mekelle, Tigray, Ethiopia.
Hagos GodefayTigray Health Bureau, Mekelle, Tigray, Ethiopia.
Mekelle University · ETAdigrat University · ETAksum University · ETColumbia University · USUniversity of Notre Dame · USUniversity of Wisconsin–Madison · USWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundCOVID-19 is a deadly pandemic caused by an RNA virus that belongs to the family of CORONA virus. To counter the COVID-19 pandemic in resource limited settings, it is essential to identify the risk factors of COVID-19 mortality. This study was conducted to identify the social and clinical determinants of mortality in COVID-19 patients hospitalized in four treatment centers of Tigray, Northern Ethiopia.

methodsWe reviewed data from 6,637 COVID-19 positive cases that were reported from May 7, 2020 to October 28, 2020. Among these, 925 were admitted to the treatment centers because of their severity and retrospectively analyzed. The data were entered into STATA 16 version for analysis. The descriptive analysis such as median, interquartile range, frequency distribution and percentage were used. Binary logistic regression model was fitted to identify the potential risk factors of mortality of COVID-19 patients. The adjusted odds ratio (AOR) with 95% confidence interval was used to determine the magnitude of the association between the outcome and predictor variables.

resultsThe median age of the patients was 30 years (IQR, 25-44) and about 70% were male patients. The patients in the non-survivor group were much older than those in the survivor group (median 57.5 years versus 30 years, p-value < 0.001). The overall case fatality rate was 6.1% (95% CI: 4.5% - 7.6%) and was increased to 40.3% (95% CI: 32.2% - 48.4%) among patients with critical and severe illness. The proportions of severe and critical illness in the non-survivor group were significantly higher than those in the survivor group (19.6% versus 5.1% for severe illness and 80.4% versus 4.5% for critical illness, all p-value < 0.001). One or more pre-existing comorbidities were present in 12.5% of the patients: cardiovascular diseases (42.2%), diabetes mellitus (25.0%) and respiratory diseases (16.4%) being the most common comorbidities. The comorbidity rate in the non-survivor group (44.6%) was higher than in the survivor group (10.5%). The results from the multivariable binary regression showed that the odds of mortality was higher for patients who had cardiovascular diseases (AOR = 2.49, 95% CI: 1.03-6.03), shortness of breath (AOR = 9.71, 95% CI: 4.73-19.93) and body weakness (AOR = 3.04, 95% CI: 1.50-6.18). Moreover, the estimated odds of mortality significantly increased with patient's age.

conclusionsAge, cardiovascular diseases, shortness of breath and body weakness were the predictors for mortality of COVID-19 patients. Knowledge of these could lead to better identification of high risk COVID-19 patients and thus allow prioritization to prevent mortality.

Indexed as

Cardiovascular DiseasesCOVID-19AdultCritical IllnessDyspneaEthiopiaFemaleHumansMalePandemicsRetrospective StudiesRisk Factors

Identifiers

PMID35951497
PMCPMC9371316
OpenAlexW4291001340

What OpenQuestion holds

Textmetadata
LicenceCC0
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.