Evidence map›Paper›PMID 37239527›Full record

ArticleInternational journal of environmental research and public health2023

Retrospective Analysis of the Outcome of Hospitalized COVID-19 Patients with Coexisting Metabolic Syndrome and HIV Using Multinomial Logistic Regression.

Peter M Mphekgwana, Musa E Sono-Setati, Tania V Mokgophi, Yehenew G Kifle, Sphiwe Madiba, Perpetua Modjadji

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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, 3 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Peter M MphekgwanaResearch Administration and Development, University of Limpopo, Polokwane 0727, South Africa.ORCID 0000-0002-3068-9406
Musa E Sono-SetatiDepartment of Public Health Medicine, University of Limpopo, Private Bag X1106, Sovenga, Polokwane 0727, South Africa.ORCID 0000-0002-5164-344X
Tania V MokgophiDepartment of Statistics and Operations Research, University of Limpopo, Polokwane 0727, South Africa.
Yehenew G KifleDepartment of Mathematics and Statistics, University of Maryland Baltimore County, Baltimore, MD 21250, USA.ORCID 0000-0002-5583-6601
Sphiwe MadibaFaculty of Health Sciences, University of Limpopo, Polokwane 0727, South Africa.ORCID 0000-0002-3735-1248
Perpetua ModjadjiNon-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town 7505, South Africa.ORCID 0000-0002-8339-9875
University of Limpopo · ZASouth African Medical Research Council · ZAUniversity of Maryland, Baltimore County · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, the coexistence of metabolic syndrome (MetS) and HIV has become an important public health problem, putting coronavirus disease 19 (COVID-19) hospitalized patients at risk for severe manifestations and higher mortality. A retrospective cross-sectional analysis was conducted to identify factors and determine their relationships with hospitalization outcomes for COVID-19 patients using secondary data from the Department of Health in Limpopo Province, South Africa. The study included 15,151 patient clinical records of laboratory-confirmed COVID-19 cases. Data on MetS was extracted in the form of a cluster of metabolic factors. These included abdominal obesity, high blood pressure, and impaired fasting glucose captured on an information sheet. Spatial distribution of mortality among patients was observed; overall (21-33%), hypertension (32-43%), diabetes (34-47%), and HIV (31-45%). A multinomial logistic regression model was applied to identify factors and determine their relationships with hospitalization outcomes for COVID-19 patients. Mortality among COVID-19 patients was associated with being older (≥50+ years), male, and HIV positive. Having hypertension and diabetes reduced the duration from admission to death. Being transferred from a primary health facility (PHC) to a referral hospital among COVID-19 patients was associated with ventilation and less chance of being transferred to another health facility when having HIV plus MetS. Patients with MetS had a higher mortality rate within seven days of hospitalization, followed by those with obesity as an individual component. MetS and its components such as hypertension, diabetes, and obesity should be considered a composite predictor of COVID-19 fatal outcomes, mostly, increased risk of mortality. The study increases our understanding of the common contributing variables to severe manifestations and a greater mortality risk among COVID-19 hospitalized patients by investigating the influence of MetS, its components, and HIV coexistence. Prevention remains the mainstay for both communicable and non-communicable diseases. The findings underscore the need for improvement of critical care resources across South Africa.

Indexed as

COVID-19Diabetes MellitusHIV InfectionsHypertensionMetabolic SyndromeCross-Sectional StudiesHospitalizationHumansLogistic ModelsMaleObesityRetrospective StudiesRisk FactorsCOVID-19HIVhospitalizationmetabolic syndromenon-communicable diseasesSouth Africa

Identifiers

PMID37239527
PMCPMC10218513
OpenAlexW4376278795

What OpenQuestion holds

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LicenceCC BY
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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.