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Comparative characterisation of COVID-19 patients with hypertension comorbidity in Malawi: a 1:2 matched retrospective case-control study

OBJECTIVE: The aim of this study was to characterize COVID-19 cases and explore the risk factors associated with mortality among hypertensive patients with COVID-19 across Malawi. METHODS: A retrospective case-control study design was used to provide a detailed account of cases and to explore the ri...

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Detalles Bibliográficos
Autores principales: Chisale, Master R.O., Nyambalo, Billy W., Mitambo, Collins, Kumwenda, Pizga, Mwale, Saul E., Mbakaya, Balwani Chingatichifwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606319/
https://www.ncbi.nlm.nih.gov/pubmed/35721435
http://dx.doi.org/10.1016/j.ijregi.2021.11.005
Descripción
Sumario:OBJECTIVE: The aim of this study was to characterize COVID-19 cases and explore the risk factors associated with mortality among hypertensive patients with COVID-19 across Malawi. METHODS: A retrospective case-control study design was used to provide a detailed account of cases and to explore the risk factors associated with mortality among hypertensive patients with COVID-19. In total, 441 patients were included in the study in a ratio of one case to two controls (1:2), matched by age. RESULTS: Deaths due to COVID-19 varied with hypertensive condition, with more deaths registered in hypertensive patients. Clinical signs and symptoms varied greatly between hypertensive and non-hypertensive COVID-19 patients, tending to be milder in the latter group. The risk of death due to COVID-19 among hypertensive patients increased with age, and was meaningfully associated with underlining comorbidities, such as HIV, TB, cardiovascular disease, and liver disease. CONCLUSION: Our study revealed predictive factors for mortality in hypertensive COVID-19 patients, which can be used by policy makers and healthcare practitioners to identify those at a higher risk, and to determine the appropriate treatment approach to achieve the best possible clinical outcomes.