Determinants of post-acute COVID-19 syndrome among hospitalized severe COVID-19 patients: A 2-year follow-up study

被引:4
作者
Elias, Tamrat Petros [1 ]
Gebreamlak, Tsegaye Wesenseged [2 ]
Gebremeskel, Tigist Tesfaye [3 ]
Adde, Binyam Lukas [4 ]
Abie, Abraham Sisay [1 ]
Elias, Bitaniya Petros [5 ]
Argaw, Abel Mureja [1 ]
Tenaw, Addis Aschenek [6 ]
Belay, Biruk Mulugeta [1 ]
机构
[1] St Pauls Hosp, Millennium Med Coll, Dept Internal Med, Addis Ababa, Ethiopia
[2] Adera Med & Surg Ctr, Dept Internal Med, Addis Ababa, Ethiopia
[3] St Peters Specialized Hosp, Dept Pediat, Addis Ababa, Ethiopia
[4] Menelik II Specialized Hosp, Dept Internal Med, Addis Ababa, Ethiopia
[5] Deborah Fdn, Dept Res & Dev, Addis Ababa, Ethiopia
[6] Yekatit 12 Med Coll, Dept Internal Med, Addis Ababa, Ethiopia
来源
PLOS ONE | 2024年 / 19卷 / 05期
关键词
LONG; PREDICTORS;
D O I
10.1371/journal.pone.0298409
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Post-acute COVID-19 syndrome is a condition where individuals experience persistent symptoms after the acute phase of the COVID-19 infection has resolved, which lowers their quality of life and ability to return to work. This study assessed the prevalence and associated risk factors of post-acute COVID-19 syndrome (PACS) among severe COVID-19 patients who were discharged from Millennium COVID-19 Care Center, Addis Ababa, Ethiopia. Methods A cross-sectional study using data collected from patient charts and a follow-up telephone interview after two years of discharge. Systematic random sampling was used to select a total of 400 patients. A structured questionnaire developed from the case report form for PACS of the World Health Organization (WHO) was used. Frequency and cross-tabulation were used for descriptive statistics. Predictor variables with a p-value <0.25 in bivariate analyses were included in the logistic regression. Result Out of the 400 patients, 20 patients were dead, 14 patients refused to give consent, and 26 patients couldn't be reached because their phones weren't working. Finally, 340 were included in the study. The majority (68.5%) were males and the mean age was 53.9 (+/- 13.3 SD) years. More than a third (38.1%) of the patients reported the persistence of at least one symptom after hospital discharge. The most common symptoms were fatigue (27.5%) and Cough (15.3%). Older age (AOR 1.04, 95% CI 1.02-1.07), female sex (AOR 1.82, 95% CI 1.00-3.29), presence of comorbidity (AOR 2.38, 95% CI 1.35-4.19), alcohol use (AOR 3.05, 95% CI 1.49-6.26), fatigue at presentation (AOR 2.18, 95% CI 1.21-3.95), and longer hospital stay (AOR 1.06, 95% CI 1.02-1.10) were found to increase the odds of developing post-acute COVID-19 syndrome. Higher hemoglobin level was found to decrease the risk of subsequent post-acute COVID-19 syndrome (AOR 0.84, 95% CI 0.71-0.99). Conclusion The prevalence of post-acute COVID-19 syndrome is high, with a wide range of persistent symptoms experienced by patients. COVID-19 survivors with the identified risk factors are more susceptible to post-acute COVID-19 and require targeted monitoring and care in a multidisciplinary approach.
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