Subtyping CKD Patients by Consensus Clustering: The Chronic Renal Insufficiency Cohort (CRIC) Study

BACKGROUND: CKD is a heterogeneous condition with multiple underlying causes, risk factors, and outcomes. Subtyping CKD with multidimensional patient data holds the key to precision medicine. Consensus clustering may reveal CKD subgroups with different risk profiles of adverse outcomes. METHODS: We...

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Vydáno v:J Am Soc Nephrol
Hlavní autoři: Zheng, Zihe, Waikar, Sushrut S., Schmidt, Insa M., Landis, J. Richard, Hsu, Chi-yuan, Shafi, Tariq, Feldman, Harold I., Anderson, Amanda H., Wilson, Francis P., Chen, Jing, Rincon-Choles, Hernan, Ricardo, Ana C., Saab, Georges, Isakova, Tamara, Kallem, Radhakrishna, Fink, Jeffrey C., Rao, Panduranga S., Xie, Dawei, Yang, Wei
Médium: Artigo
Jazyk:Inglês
Vydáno: American Society of Nephrology 2021
Témata:
Clinical Epidemiology
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7920178/
https://ncbi.nlm.nih.gov/pubmed/33462081
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1681/ASN.2020030239
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