ArticleHealth science reports2026
Haematological and Biochemical Parameters of COVID-19 Patients Hospitalised at Selected Central Hospitals in Malawi: A Retrospective Study.
Article in Health science reports, 2026. 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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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.
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Authors and funding
3 authors.
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Abstract
Background and Aims: COVID-19 is an infectious respiratory disease caused by SARS-CoV-2. It was first reported in China in 2019 and spread rapidly to the rest of the world, leading to alarming morbidity and mortality. Haematological and biochemical parameters have been used in routine practice as prognostic markers of disease severity. However, this information has not been adequately documented in some African countries, particularly Malawi. Methods: A retrospective study analysed records of 367 RT-PCR-confirmed COVID-19 patients hospitalised between 2020 and 2022 in three central hospitals in Malawi. Patients' records were studied for clinical, haematological, and biochemical parameters against reference intervals. Parameters were compared by hospital, comorbidity status, oxygen saturation (SpO Results: Among the 367 reviewed cases, median age was 46 years, 51.5% were males, 51.23% had comorbidities, and 59.13% survived. Most haematological and biochemical parameters were within reference ranges, except haemoglobin, haematocrit, mean corpuscular haemoglobin concentration (MCHC), aspartate transaminase (AST), gamma-glutamyl transferase (GGT), lactate dehydrogenase (LDH), and blood urea nitrogen (BUN). SpO Conclusion: Altered levels of leucocytes, neutrophils, AST, ALT, GGT, ALP, LDH, and BUN were associated with non-survival. Age, ALT, ALP, and LDH were identified as predictors of adverse outcomes. These can help monitor COVID-19 patients and inform disease prognosis.
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