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• W2140291226 abstract "<h3>Background and objectives</h3> Little is known about the utility of self-rated general health assessments in persons with moderate-to-severe CKD. This study examined the ability of a single self-rated health measure to predict all-cause mortality and kidney disease progression in a cohort of 443 patients with stages 3–4 CKD, recruited between 2005 and 2011, and followed until the end of 2012. The performance of models incorporating self-rated health measures was compared with previously published predictive models and more complex models comprising a multibiomarker panel. <h3>Design, setting, participants, & measurements</h3> Participants were asked “In general, would you say your health is excellent, very good, good, fair, or poor?” Outcomes examined were time to all-cause mortality, kidney disease progression (initiation of RRT or 30% loss of eGFR), and a composite of these events. Model performances were compared using a nonparametric area under the curve (AUC) analysis. <h3>Results</h3> Over a median follow-up of 3.3 years, 118 (27%) participants died and 138 (31%) had progression of kidney disease. Fair-to-poor self-rated health status was associated with significantly greater risks of mortality (fully adjusted hazard ratio [HR] for relative to good-to-excellent self-rated health, 2.76; 95% confidence interval [95% CI], 1.28 to 5.89), kidney disease progression (HR, 1.94; 95% CI, 1.49 to 2.56), and the combined end point (HR, 2.21; 95% CI, 1.66 to 2.96). For 3-year mortality prediction, the self-rated health model (AUC, 0.80; 95% CI, 0.76 to 0.85) had significantly higher AUCs than the base model (AUC, 0.71; 95% CI, 0.66 to 0.76) and the multibiomarker panel model (AUC, 0.74; 95% CI, 0.68 to 0.80) (<i>P</i>=0.03 and <i>P</i>=0.04, respectively). <h3>Conclusions</h3> A single, easily obtained measure of self-rated health helps identify patients with CKD at high risk of mortality and kidney disease progression. Routine evaluation of self-rated health may help target individuals who might benefit from more intensive monitoring strategies." @default.
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• W2140291226 date "2005-03-01" @default.
• W2140291226 modified "2023-09-26" @default.
• W2140291226 title "Predicting the outcome of cholinesterase inhibitor treatment in Alzheimer's disease" @default.
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• W2140291226 doi "https://doi.org/10.1136/jnnp.2004.043539" @default.
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