作者: Cassianne Robinson-Cohen , Yoshio N. Hall , Ronit Katz , Matthew B. Rivara , Ian H. de Boer
DOI: 10.2215/CJN.03140314
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摘要: Background and objectives Little is known about the utility of self-rated general health assessments in persons with moderate-to-severe CKD. This study examined ability a single measure to predict all-cause mortality kidney disease progression cohort 443 patients stages 3–4 CKD, recruited between 2005 2011, followed until end 2012. The performance models incorporating measures was compared previously published predictive more complex comprising multibiomarker panel. Design, setting, participants, & measurements Participants were asked “In general, would you say your excellent, very good, fair, or poor?” Outcomes time mortality, (initiation RRT 30% loss eGFR), composite these events. Model performances using nonparametric area under curve (AUC) analysis. Results Over median follow-up 3.3 years, 118 (27%) participants died 138 (31%) had disease. Fair-to-poor status associated significantly greater risks (fully adjusted hazard ratio [HR] for relative good-to-excellent health, 2.76; 95% confidence interval [95% CI], 1.28 5.89), (HR, 1.94; CI, 1.49 2.56), combined point 2.21; 1.66 2.96). For 3-year prediction, model (AUC, 0.80; 0.76 0.85) higher AUCs than base 0.71; 0.66 0.76) panel 0.74; 0.68 0.80) ( P =0.03 =0.04, respectively). Conclusions A single, easily obtained helps identify CKD at high risk progression. Routine evaluation may help target individuals who might benefit from intensive monitoring strategies.