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Ombajo LA, Mutono N, Sudi P, Mutua M, Sood M, Loo AM, Juma P, Odhiambo J, Shah R, Wangai F, Maritim M, Anzala O, Amoth P, Kamuri E, Munyu W, Thumbi SM. Epidemiological and clinical characteristics of patients hospitalised with COVID-19 in Kenya: a multicentre cohort study. BMJ Open 2022; 12:e049949. [PMID: 35589368 PMCID: PMC9121111 DOI: 10.1136/bmjopen-2021-049949] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES To assess outcomes of patients admitted to hospital with COVID-19 and to determine the predictors of mortality. SETTING This study was conducted in six facilities, which included both government and privately run secondary and tertiary level facilities in the central and coastal regions of Kenya. PARTICIPANTS We enrolled 787 reverse transcriptase-PCR-confirmed SARS-CoV2-infected persons. Patients whose records could not be accessed were excluded. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome was COVID-19-related death. We used Cox proportional hazards regressions to determine factors related to in-hospital mortality. RESULTS Data from patients with 787 COVID-19 were available. The median age was 43 years (IQR 30-53), with 505 (64%) being men. At admission, 455 (58%) were symptomatic with an additional 63 (9%) developing clinical symptoms during hospitalisation. The most common symptoms were cough (337, 43%), loss of taste or smell (279, 35%) and fever (126, 16%). Comorbidities were reported in 340 (43%), with cardiovascular disease, diabetes and HIV documented in 130 (17%), 116 (15%), 53 (7%), respectively. 90 (11%) were admitted to the Intensive Care Unit (ICU) for a mean of 11 days, 52 (7%) were ventilated with a mean of 10 days, 107 (14%) died. The risk of death increased with age (HR 1.57 (95% CI 1.13 to 2.19)) for persons >60 years compared with those <60 years old; having comorbidities (HR 2.34 (1.68 to 3.25)) and among men (HR 1.76 (1.27 to 2.44)) compared with women. Elevated white cell count and aspartate aminotransferase were associated with higher risk of death. CONCLUSIONS The risk of death from COVID-19 is high among older patients, those with comorbidities and among men. Clinical parameters including patient clinical signs, haematology and liver function tests were associated with risk of death and may guide stratification of high-risk patients.
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Affiliation(s)
- Loice Achieng Ombajo
- Clinical Medicine and Therapeutics, University of Nairobi College of Health Sciences, Nairobi, Kenya
- Center for Epidemiological Modelling and Analysis, University of Nairobi College of Health Sciences, Nairobi, Kenya
| | - Nyamai Mutono
- Paul G Allen School for Global Health, Washington State University, Pullman, Washington, USA
| | - Paul Sudi
- Infectious Disease Unit, Kenyatta National Hospital, Nairobi, Kenya
| | - Mbuvi Mutua
- Infectious Disease Unit, Kenyatta National Hospital, Nairobi, Kenya
| | - Mohammed Sood
- Department of Medicine, Coast General Teaching and Referral Hospital, Mombasa, Kenya
| | - Alliyy Muhammad Loo
- Department of Medicine, Coast General Teaching and Referral Hospital, Mombasa, Kenya
| | - Phoebe Juma
- Department of Medicine, Nairobi Hospital, Nairobi, Kenya
| | | | - Reena Shah
- Department of Medicine, The Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - Frederick Wangai
- Clinical Medicine and Therapeutics, University of Nairobi College of Health Sciences, Nairobi, Kenya
| | - Marybeth Maritim
- Clinical Medicine and Therapeutics, University of Nairobi College of Health Sciences, Nairobi, Kenya
| | - Omu Anzala
- Kenya AIDS Vaccine Initiative, University of Nairobi College of Health Sciences, Nairobi, Kenya
| | - Patrick Amoth
- Office of The Director General, Kenya Ministry of Health, Nairobi, Kenya
| | - Evans Kamuri
- Infectious Disease Unit, Kenyatta National Hospital, Nairobi, Kenya
| | - Waweru Munyu
- Department of Medicine, The Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - S M Thumbi
- Center for Epidemiological Modelling and Analysis, University of Nairobi College of Health Sciences, Nairobi, Kenya
- Paul G Allen School for Global Health, Washington State University, Pullman, Washington, USA
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