Nomogram to predict rapid kidney function decline in population at risk of cardiovascular disease

BACKGROUND: To develop a reliable model to predict rapid kidney function decline (RKFD) among population at risk of cardiovascular disease. METHODS: In this retrospective study, key monitoring residents including the elderly, and patients with hypertension or diabetes of China National Basic Public...

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Detalles Bibliográficos
Autores principales: Zhang, Qiuxia, Lu, Junyan, Lei, Li, Li, Guodong, Liang, Hongbin, Zhang, Jingyi, Li, Yun, Lu, Xiangqi, Zhang, Xinlu, Chen, Yaode, Pan, Jiazhi, Chen, Yejia, Lin, Xinxin, Li, Xiaobo, Zhou, Shiyu, An, Shengli, Xiu, Jiancheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830119/
https://www.ncbi.nlm.nih.gov/pubmed/35144580
http://dx.doi.org/10.1186/s12882-022-02696-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830119/
https://www.ncbi.nlm.nih.gov/pubmed/35144580
http://dx.doi.org/10.1186/s12882-022-02696-9

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