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Nephrol. Dial. Transplant. · Oct 2012
Circulating cell-free DNA in hemodialysis patients predicts mortality.
- David Tovbin, Victor Novack, Maya Paryente Wiessman, Amir Abd Elkadir, Moshe Zlotnik, and Amos Douvdevani.
- Department of Nephrology, Ben-Gurion University of the Negev, Beer-Sheva, Israel. dtovbin@bgu.ac.il
- Nephrol. Dial. Transplant. 2012 Oct 1;27(10):3929-35.
BackgroundCirculating cell-free DNA (CFD) appears following cell damage and DNA release, and increases in hemodialysis (HD) patients particularly following HD. We hypothesized that CFD is an integrative marker of tissue damage and can be an independent predictor for all-cause mortality in HD patients.MethodsIn a prospective study, CFD levels before and after HD were evaluated in 31 chronic HD patients with no acute disease, using the reported rapid non-cumbersome inexpensive fluorometric assay developed in our laboratory. Follow-up levels were assessed at 18 months in 22 patients. All-cause mortality was a primary endpoint.ResultsDuring 42 months of follow-up, 13 of the 31 (41.9%) patients died. The decedents were older than the survivors (mean age 69.9 versus 61.5 years, P = 0.06), but did not differ in end-stage renal disease (ESRD) duration, gender, albumin and hemoglobin, diabetes mellitus and weight. Post-dialysis CFD levels were significantly lower in survivors (median 688 versus 880 ng/mL, P = 0.01). The sensitivity and specificity of CFD levels of 850 ng/mL to predict 42 months (3.5 years) mortality were 73 and 75%, respectively, and the area under the receiver-operating characteristic curve was 0.77 [95% confidence interval (CI) 0.60-0.94]. The Cox proportional hazard regression model showed that CFD higher than 850 ng/mL adjusted for age, ESRD duration, weight and creatinine (stepwise model) was highly predictive of all-cause death with a hazard ratio of 8.0 (95% CI 2.3-28.5, P = 0.001).ConclusionsPost-dialysis CFD level is an independent predictor of all-cause mortality in patients undergoing HD. We propose that CFD detection is an inexpensive applicable tool for identifying patients at risk and their follow-up.
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