Dynamic biomarkers and Cox regression with time-dependent covariate for mortality prediction in severe fever with thrombocytopenia syndrome

Abstract Severe fever with thrombocytopenia syndrome (SFTS) is a fatal tick-borne infectious disease that lacks effective treatments. Dynamic analysis that reflects changes in the SFTS patient’s condition is needed. This study aimed to evaluate the time-dependent predictive performance of key biomar...

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Hlavní autoři:	Hyun Ji Woo, Sang Taek Heo, Jeong Rae Yoo, Misun Kim, Jaeseong Oh, In-Gyu Bae, Sohyun Bae, Young-Ran Yoon, Jeong-Hwan Hwang, Miri Hyun, Hyun ah Kim, Sook In Jung, Ki Tae Kwon, Soyoon Hwang, Uh Jin Kim, Gaeun Kang, Young Jun Kim, Ji Hyun Yun, Tae-Eun Kim, Tae-Kyu Kwon, Min-Gul Kim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-03-01
Edice:	Scientific Reports
Témata:	Severe fever with thrombocytopenia syndrome Time-Dependent covariate Dynamic biomarkers Mortality prediction
On-line přístup:	https://doi.org/10.1038/s41598-025-94416-0
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