Identification of Biomarkers for Preeclampsia Based on Metabolomics.

Yao, Mengxin; Xiao, Yue; Yang, Zhuoqiao; Ge, Wenxin; Liang, Fei; Teng, Haoyue; Gu, Yingjie; Yin, Jieyun

Yao, Mengxin; Xiao, Yue; Yang, Zhuoqiao; Ge, Wenxin; Liang, Fei; Teng, Haoyue; Gu, Yingjie; Yin, Jieyun.

Afiliación

Yao M; Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People's Republic of China.
Xiao Y; Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People's Republic of China.
Yang Z; Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People's Republic of China.
Ge W; Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People's Republic of China.
Liang F; Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People's Republic of China.
Teng H; Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People's Republic of China.
Gu Y; Department of Obstetrics and Gynecology, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Yin J; Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People's Republic of China.

Clin Epidemiol ; 14: 337-360, 2022.

Article en En | MEDLINE | ID: mdl-35342309

Palabras clave

biomarker; gestational hypertension; metabolite; prediction

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies / Systematic_reviews Idioma: En Revista: Clin Epidemiol Año: 2022 Tipo del documento: Article

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