Retrospective Analysis of the Outcome of Hospitalized COVID-19 Patients with Coexisting Metabolic Syndrome and HIV Using Multinomial Logistic Regression.
Peter Modupi MphekgwanaMusa E SetatiTania V MokgophiYehenew G KifleCynthia DikoPerpetua ModjadjiPublished in: International journal of environmental research and public health (2023)
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.
Keyphrases
- hiv positive
- south africa
- sars cov
- coronavirus disease
- metabolic syndrome
- antiretroviral therapy
- blood pressure
- public health
- men who have sex with men
- type diabetes
- insulin resistance
- hiv testing
- cardiovascular events
- healthcare
- respiratory syndrome coronavirus
- glycemic control
- hiv infected
- human immunodeficiency virus
- cardiovascular disease
- mental health
- weight loss
- risk factors
- cross sectional
- hiv aids
- health information
- emergency department
- blood glucose
- machine learning
- hypertensive patients
- electronic health record
- coronary artery disease
- hepatitis c virus
- high fat diet induced
- case report
- big data
- uric acid
- cardiovascular risk factors
- adipose tissue
- heart rate
- early onset
- human health
- intensive care unit
- acute respiratory distress syndrome