PMID- 37363588
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230701
IS  - 2049-0801 (Print)
IS  - 2049-0801 (Electronic)
IS  - 2049-0801 (Linking)
VI  - 85
IP  - 6
DP  - 2023 Jun
TI  - Survival status and predictors of mortality among COVID-19 patients admitted to 
      intensive care units at COVID-19 centers in Addis Ababa, Ethiopia: a 
      retrospective study.
PG  - 2368-2378
LID - 10.1097/MS9.0000000000000803 [doi]
AB  - Worldwide, including in Ethiopia, there is an increased risk of coronavirus 
      disease 2019 (COVID-19) disease severity and mortality. This study aimed to 
      assess the survival status and predictors of mortality among COVID-19 patients 
      admitted to the intensive care unit. METHODS: This study included 508 COVID-19 
      patients retrospectively who were under follow-up. The work has been reported in 
      line with the STROCSS (strengthening the reporting of cohort, cross-sectional and 
      case-control studies in surgery) criteria. The data were collected through a 
      systematic sampling from patients' charts. Kaplan-Meier survival curves and 
      logrank test, and Cox's regression analyses were conducted to check the 
      difference among categories of covariates and to identify predictors of 
      mortality, respectively. RESULTS: All patient charts were reviewed and the 
      information was recorded. The average age (mean+SD) of these patients was 
      62.1+13.6 years. Among study participants, 422 deaths occurred and the mortality 
      rate was 64.1 per 1000 person-days. The median survival time was 13 days 
      [interquartile range (IQR): 10-18]. The significant predictors for this survival 
      were: Age>45 years [adjusted hazard ratio (AHR)=4.34, 95% CI: 2.46-7.86], 
      Diabetes mellitus (AHR=1.37, 95% CI: 1.05-1.77), Hypertension (AHR=1.39, 95% CI: 
      1.09-1.79), Renal disease (AHR=1.86, 95% CI: 1.01-3.43), Hypotension (AHR=1.71, 
      95% CI: 1.28-2.27), Electrolyte treatment (AHR=0.78, 95% CI: 0.63-0.97). 
      CONCLUSION: The median survival of COVID-19 patients after their admission was 13 
      days, and predictors for this time were advanced age, preexisting comorbidities 
      (like diabetes mellitus, hypertension, and renal disease), hypotension, and 
      electrolyte therapy.
CI  - Copyright (c) 2023 The Author(s). Published by Wolters Kluwer Health, Inc.
FAU - Boka, Abdissa
AU  - Boka A
AD  - School of Nursing & Midwifery, College of Health Science, Addis Ababa University.
FAU - Tadesse, Addisu
AU  - Tadesse A
AD  - School of Public Health, Unity University.
FAU - W/Yohannes, Getachew
AU  - W/Yohannes G
AD  - Department of Public Health, Yekatit 12 Hospital Medical College.
FAU - Hussein, Kedir
AU  - Hussein K
AD  - Biostatics and Health Informatics, Public Health Department, Madda Walabu 
      University, Addis Ababa, Ethiopia.
LA  - eng
PT  - Journal Article
DEP - 20230510
PL  - England
TA  - Ann Med Surg (Lond)
JT  - Annals of medicine and surgery (2012)
JID - 101616869
PMC - PMC10289782
OTO - NOTNLM
OT  - COVID-19
OT  - Cox's regression
OT  - Ethiopia
OT  - SARS-COV-2
OT  - survival analysis
COIS- There are no conflicts of interest.
EDAT- 2023/06/26 19:07
MHDA- 2023/06/26 19:08
PMCR- 2023/05/10
CRDT- 2023/06/26 13:19
PHST- 2023/02/17 00:00 [received]
PHST- 2023/05/01 00:00 [accepted]
PHST- 2023/06/26 19:08 [medline]
PHST- 2023/06/26 19:07 [pubmed]
PHST- 2023/06/26 13:19 [entrez]
PHST- 2023/05/10 00:00 [pmc-release]
AID - AMSU-D-23-00346 [pii]
AID - 10.1097/MS9.0000000000000803 [doi]
PST - epublish
SO  - Ann Med Surg (Lond). 2023 May 10;85(6):2368-2378. doi: 
      10.1097/MS9.0000000000000803. eCollection 2023 Jun.