Evidence map›Paper›PMID 41243672›Full record

ArticleGlobal health action2025

Underlying conditions associated with adverse COVID-19 treatment outcomes in selected Kenyan hospitals, October 2020 to December 2021.

Dickens O Onyango, Wanjiru Waruiru, Victor Omodi, Jonesmus Wambua, Peninah Masibo, Frank Victor Otieno, Wilfred Kazungu, Stella Njuguna, Christina Moore, Daniel Maangi and 7 more

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In one paragraph

Article in Global health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Dickens O OnyangoDepartment of Health, County Government of Kisumu, Kisumu, Kenya.ORCID 0000-0002-1634-0531
Wanjiru WaruiruGlobal Programs for Research and Training, University of California San Francisco, Nairobi, Kenya.
Victor OmodiGlobal Programs for Research and Training, University of California San Francisco, Nairobi, Kenya.
Jonesmus WambuaGlobal Programs for Research and Training, University of California San Francisco, Nairobi, Kenya.
Peninah MasiboGlobal Programs for Research and Training, University of California San Francisco, Nairobi, Kenya.
Frank Victor OtienoDepartment of Health, County Government of Nairobi, Nairobi, Kenya.
Wilfred KazunguDepartment of Health, County Government of Kilifi, Kilifi, Kenya.
Stella NjugunaDivision of Global HIV & TB (DGHT), Global Health Center, US Centres for Disease Control and Prevention, Nairobi, Kenya.
Christina MooreDivision of Global HIV & TB (DGHT), Global Health Center, US Centres for Disease Control and Prevention, Nairobi, Kenya.
Daniel MaangiDivision of Global HIV & TB (DGHT), Global Health Center, US Centres for Disease Control and Prevention, Nairobi, Kenya.
Jacques MuthusiDivision of Global HIV & TB (DGHT), Global Health Center, US Centres for Disease Control and Prevention, Nairobi, Kenya.
Anne NjorogeInternational Training & Education Center for Health (ITECH), University of Washington, Seattle, WA, USA.
Peninah MunyuaDivision of Global HIV & TB (DGHT), Global Health Center, US Centres for Disease Control and Prevention, Nairobi, Kenya.
Anthony WaruruDivision of Global HIV & TB (DGHT), Global Health Center, US Centres for Disease Control and Prevention, Nairobi, Kenya.
Mary MwangomeGlobal Programs for Research and Training, University of California San Francisco, Nairobi, Kenya.
Emmanuel OkungaDivision of Disease Surveillance and Response, Ministry of Health, Nairobi, Kenya.
George W RutherfordInstitute for Global Health Sciences, University of California, San Francisco, USA.

Funding

CGH CDC HHS U01 GH002266CGH CDC HHS U01 GH002338
6 · The paper itself

Abstract

backgroundData are limited on the impact of chronic underlying conditions on COVID-19 treatment outcomes in sub-Saharan Africa.

objectivesDetermine the effect of underlying conditions on COVID-19 severity and treatment outcomes in Kenya.

methodsWe conducted a retrospective cohort study using routine medical records from Kenya's three large COVID-19 treatment centers. We examined two outcomes: mortality and clinical severity. Patients with lower respiratory tract illness without tachypnoea or difficulty in breathing were considered to have mild COVID-19. Underlying conditions were based on documentation in medical records. Logistic regression models assessed associations between underlying conditions and COVID-19 severity and mortality.

resultsAmong the 1,123 hospitalized COVID-19 patients included in the analysis, 59% (

conclusionPatients with underlying conditions hospitalized for COVID-19 were more likely to die than those without. Hypertension was independently associated with disease severity, while heart disease and diabetes were independently associated with death during COVID-19 treatment.

Indexed as

COVID-19AdultAgedComorbidityDiabetes MellitusFemaleHospitalizationHumansHypertensionKenyaMaleMiddle AgedRetrospective StudiesSARS-CoV-2Severity of Illness IndexTreatment OutcomeCOVID-19diabetesHIVhypertensionnoncommunicable diseases

Identifiers

PMID41243672
PMCPMC12624971

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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.