Survival analysis and outcome prediction of COVID-19 patients: a retrospective observational study from tertiary referral hospital in Indonesia
https://doi.org/10.47665/tb.39.2.013
- Author:
Visuddho, V.
1
;
Subagjo, A.
2
;
Setyoningrum, R.A.
3
;
Rosyid, A.N.
4
Author Information
1. Medical Program, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
2. Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
3. Department of Pediatrics, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
4. Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
- Publication Type:Journal Article
- Keywords:
Comorbidity;
covid-19;
infectious disease;
predictive;
survival.
- From:Tropical Biomedicine
2022;39(No.2):239-246
- CountryMalaysia
- Language:English
-
Abstract:
Coronavirus Disease 2019 (COVID-19) pandemic has become a global concern. Recently, Indonesia
contributed the third-highest number of new COVID-19 cases in the world. We provide supporting
information for COVID-19 management. This retrospective cohort study was conducted at Dr. Soetomo
General Hospital. Researchers collected demographics, comorbidity, initial laboratory tests, and
complications data of patients. This study performed a comparative, survival, and Receiver Operating
Characteristic (ROC) curve analysis. Survival analysis showed a decrease in the probability of survival
associated with an increase in the variables of age, diabetes, white blood cell (WBC) count, and
neutrophils percentage, and a decrease in lymphocytes percentage during hospitalization. Lymphocyte
percentage, neutrophil-lymphocyte ratio (NLR), WBC count, neutrophil percentage, had an accuracy
0.727 (95%CI 0.642-0.812; p<0.001), 0.726 (95%CI 0.641-0.812; p<0.001), 0.706 (95%CI 0.615-0.796;
p<0.001), and 0.700 (95%CI 0.612-0.788; p<0.001) respectively, in predicting worse outcome. Our study
suggests routine complete blood count tests in the admission of a patient with COVID-19 infections,
which can be used to determine the survival and prognosis of hospitalized patients.
- Full text:8.2022my1338.pdf
