Nomogram model for predicting early onset of chronic kidney disease using color Doppler region of interest technique.

Zhang, Liang; Xu, Kuishuai; Ma, Leiyuan; Shao, Changjie; Gong, Chuanxin; Yu, Ning

Zhang, Liang; Xu, Kuishuai; Ma, Leiyuan; Shao, Changjie; Gong, Chuanxin; Yu, Ning.

Afiliação

Zhang L; Department of Abdonminal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Xu K; Department of Sports Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Ma L; Department of Abdonminal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Shao C; Department of Abdonminal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Gong C; Department of Abdonminal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Yu N; Department of Abdonminal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China. 18661808272@163.com.

Abdom Radiol (NY) ; 47(12): 4186-4194, 2022 12.

Article em En | MEDLINE | ID: mdl-36121456

Assuntos

Diabetes Mellitus; Hipertensão; Insuficiência Renal Crônica; Humanos; Nomogramas; Estudos Retrospectivos; Albuminas; Nitrogênio; Ureia

Palavras-chave

Chronic kidney disease; Color Doppler; Nomogram; Region of interest

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Insuficiência Renal Crônica / Hipertensão Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Abdom Radiol (NY) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

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