Survival Patterns and Predictors of Mortality among COVID-19 Patients Admitted to Treatment Centers in Oromia Region, Ethiopia

Ephrem Mannekulih Habtewold,1 Godana Arero Dassie,1 Shileshi Garoma Abaya,1 Endashaw Abebe Debela,2 Bekana Lemessa Bayissa,3 Worku Dugassa Girsha,1 Alem Deksisa Abebe,1 Hunde Lemi Sori,1 Meyrema Abdo Komicha,1 Birhanu Kenate Sori,4 Gemechu Shumi Bajiga,4 Melese Lemi Heyi,4 Dabesa Gobena Iticha,4 Tesfaye Kebebew Jiru,4 Mengistu Bekele Hurissa,4 Dereje Abdena Bayisa,4 Lemesa Tadese Amante,4 Yadeta Ayana Sima,4 Dejene Gemachu Dhaba4 1Department of Public Health, Adama Comprehensive Specialized Hospital Medical College, Adama, Ethiopia; 2Department of Internal Medicine, Adama Comprehensive Specialized Hospital Medical College, Adama, Ethiopia; 3Department of Surgery, Adama Comprehensive Specialized Hospital Medical College, Adama, Ethiopia; 4Oromia Regional Health Bureau, Addis Ababa, EthiopiaCorrespondence: Ephrem Mannekulih Habtewold, Correspondence: Tel +251-91-336-5954, Email ephrem4emtgmail.comPurpose: To assess survival patterns and predictors of mortality among patients admitted with COVID-19 to treatment centers in the Oromia region of Ethiopia from April 1 to August 31, 2021.Methods: A prospective cohort study design was employed, taking a sample of 854 patients selected from eight treatment centers in the region. The follow-up duration was the time interval from admission to the treatment center until the final disposition of patients at discharge (death, recovery, or failed to recover). Data were collected by computer tablet with an interviewer-administered questionnaire and checklist designed using CSPro 7.5 and exported to Stata 13 for analysis. Descriptive analysis was used to explore the characteristics of patients. The mortality rate was estimated by number of deaths per 1,000 person-days of observation. The survival duration was estimated by medians with IQR. The Kaplan–Meier method was used to compare the survival experiences of patients. To identify the predictors of time to death after hospitalization, a Cox proportional-hazard model was used. The magnitude of association was estimated using HRs with 95% CIs, and statistical significance was set at P< 0.05.Results: The mortality rate among hospitalized patients was 9.9 per 1,000 person-days of observation and the median survival time after admission was 9 (IQR 9– 10) days. Higher hazard of death was observed among patients who drank alcohol (AHR 2.0, 95% CI 1.2– 3.3), required anticoagulants (AHR 10, 95% CI 1.2– 91.5), glucocorticoids (AHR 1.7, 95% CI 1.1– 2.8), and oxygen (AHR 4.7, 95% CI 1.1– 22.0), those with acute respiratory distress syndrome (AHR 2.9, 95% CI 1.7– 5.1), and critical patients admitted to intensive care units (AHR 3.4, 95% CI 2.0– 5.9).Conclusion: The hazard of death is significantly predicted by alcohol use, requiring anticoagulants, glucocorticoids, or oxygen medication, acute respiratory distress syndrome complication, and being critical when admitted to intensive care units.Keywords: COVID-19, Ethiopia, mortality, Oromia, survival.

Medienart:	E-Artikel

Erscheinungsjahr:	2022
Erschienen:	2022

Enthalten in:	Zur Gesamtaufnahme - year:2022
Enthalten in:	Infection and Drug Resistance - (2022), Seite 5233-5247

Sprache:	Englisch

Beteiligte Personen:

Habtewold EM [VerfasserIn] Dassie GA [VerfasserIn] Abaya SG [VerfasserIn] Debela EA [VerfasserIn] Bayissa BL [VerfasserIn] Girsha WD [VerfasserIn] Abebe AD [VerfasserIn] Sori HL [VerfasserIn] Komicha MA [VerfasserIn] Sori BK [VerfasserIn] Bajiga GS [VerfasserIn] Heyi ML [VerfasserIn] Iticha DG [VerfasserIn] Jiru TK [VerfasserIn] Hurissa MB [VerfasserIn] Bayisa DA [VerfasserIn] Amante LT [VerfasserIn] Sima YA [VerfasserIn] Dhaba DG [VerfasserIn]

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000 person-days of observation and the median survival time after admission was 9 days with 9 to 10 iqr. higher hazard of death was observed among patients who drink alcohol (ahr=2.0 2.8) and oxygen(ahr=4.7 2021. methods and materials: prospective cohort study design was employed 22.0) 3.3) 5.1) and critical patient admitted to intensive care unit(icu) (ahr=3.4 5.9). conclusion: the hazard of death is significantly predicted by alcohol use 91.5) 95%ci:1.1 95%ci:1.2 95%ci:1.7 95%ci:2.0 And oxygen medications Being a patient who requires anticoagulant Cox proportional hazard model was used. the magnitude of association was estimated using hazard ratio(hr) with 95%ci and the statistical significance was declared for p-value < 0.05. results: per study findings Developed ards complication and being critical patient admitted to icu Ethiopia From april 01 to august 31 Glucocorticoid Glucocorticoid (ahr=1.7 Infectious and parasitic diseases Patient who has acute respiratory distress syndrome(ards) (ahr=2.9 Purpose: to assess the survival pattern and predictors of mortality among patients admitted with covid-19 to the treatment centers in oromia region Recovery or failed to recover). the data were collected by interviewer-administered questionnaire and checklist designed using cspro 7.5. the data were collected by computer tablet and exported to stata-13 for analysis. descriptive analysis was used to explore the characteristics of patients. the mortality rate was estimated by number of deaths per 1000 person-days of observation. the survival duration was estimated by median along with interquartile range(iqr). kaplan–meier method was used to compare the survival experiences of patients. to identify the predictors of time-to-death after hospitalization Required anticoagulant (ahr=10 Taking sample of 854 patients selected from eight treatment centers in the region. the follow-up duration is the time interval from admission to the treatment center until the final disposition of patients at discharge(death The mortality rate among hospitalized patients was 9.9 per 1

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PPN (Katalog-ID):	DOAJ023674040