Survival Analyses of COVID-19 Patients in a Turkish Cohort: Comparison between Using Time to Death and Time to Release
| Autor: | Sevdiye Sivgin, Ayse Ulgen, Meryem Cetin, Hakan Sivgin, Pervin Ozlem Balci, Şirin Çetin, Wentian Li |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Coronavirus disease 2019 (COVID-19)
business.industry Turkish Proportional hazards model Univariate Neoplasms. Tumors. Oncology. Including cancer and carcinogens language.human_language survival analysis case-control analysis covid-19 Sample size determination language Medicine cause-specific hazard ratio Public aspects of medicine RA1-1270 Risk factor business RC254-282 Survival analysis Demography Event (probability theory) |
| Zdroj: | SciMedicine Journal, Vol 3, Iss 0, Pp 1-9 (2021) |
| ISSN: | 2704-9833 |
| DOI: | 10.28991/scimedj-2021-03-si-1 |
| Popis: | Survival analyses of COVID-19 data has its own unique features, in particular, the existence of two distinct events: death and release from the hospital within a very short period of time. This multiple-event situation belongs to a type where the occurrence of the first event prevents the second event to happen, and vice versa. We carried out two cause-specific univariate Cox regression survival analyses, one for time-to-death and another for time-to-release. Each survival analysis is further split into one for onset of symptom to event time and another for hospitalization to event time. We have also carried out a case-control (death vs. release) analysis without considering the time to event information. We observed that risk factors can be detected by either case-control or survival analysis, even though the goal of the two is quite different. We also observed that the two survival analyses may not both reveal a factor being a risk factor, but only one of them does. We prefer this two rounds of Cox regressions over mixture cure model which is only focused on time-to-death events which usually are sample size limited. By utilizing time-to-release events may greatly increase the sample size needed for revealing risk factors for COVID-19. Doi: 10.28991/SciMedJ-2021-03-SI-1 Full Text: PDF |
| Databáze: | OpenAIRE |
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