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Retrospective Analysis of the Outcome of Hospitalized COVID-19 Patients with Coexisting Metabolic Syndrome and HIV Using Multinomial Logistic Regression.
Mphekgwana, Peter M; Sono-Setati, Musa E; Mokgophi, Tania V; Kifle, Yehenew G; Madiba, Sphiwe; Modjadji, Perpetua.
  • Mphekgwana PM; Research Administration and Development, University of Limpopo, Polokwane 0727, South Africa.
  • Sono-Setati ME; Department of Public Health Medicine, University of Limpopo, Private Bag X1106, Sovenga, Polokwane 0727, South Africa.
  • Mokgophi TV; Department of Statistics and Operations Research, University of Limpopo, Polokwane 0727, South Africa.
  • Kifle YG; Department of Mathematics and Statistics, University of Maryland Baltimore County, Baltimore, MD 21250, USA.
  • Madiba S; Faculty of Health Sciences, University of Limpopo, Polokwane 0727, South Africa.
  • Modjadji P; Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town 7505, South Africa.
Int J Environ Res Public Health ; 20(10)2023 05 12.
Article in English | MEDLINE | ID: covidwho-20240084
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Metabolic Syndrome / Diabetes Mellitus / COVID-19 / Hypertension Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Humans / Male Language: English Year: 2023 Document Type: Article Affiliation country: Ijerph20105799

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Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Metabolic Syndrome / Diabetes Mellitus / COVID-19 / Hypertension Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Humans / Male Language: English Year: 2023 Document Type: Article Affiliation country: Ijerph20105799