Pre-operation NLR can be considered as a potential prognostic biomarker in patients with RCC who underwent surgical resection.

Background and Aims: Dyslipidemia is common in patients with chronic kidney disease and particular prevalent in patients receiving peritoneal dialysis. However, whether markers of atherogenic dyslipidemia correlate with outcomes in dialysis patients as in the general population is uncertain. Here, we investigated the prognostic value of the serum triglyceride/HDL cholesterol (TG/HDL-C) ratio and non-HDL-C/HDL-C ratio in peritoneal dialysis patients to predict all-cause mortality. Methods 214 PD patients were retrospectively analyzed from January 2011 to December 2015, with a median follow-up of 59 months. We used receiver operating curves (ROC) to determine the optimal threshold for TG/HDL-C and non-HDL/HDL-C ratios at baseline to predict OS during follow-up. Prognostic values were accessed by univariate and multivariate COX regression analysis and Kaplan-Meier curve. A predictive nomogram was developed to predict prognosis for overall survival, and the predictive accuracy was evaluated by concordance index (c-index). Results The optimal cut-off values for TG/HDL-C ratio and non-HDL-C/HDL-C ratio were 1.94 and 2.86, respectively. A high TG/HDL-C ratio and a high non-HDL-C/HDL-C ratio strongly correlated with worse OS in PD patients. Multivariate analysis demonstrated that elevated TG/HDL-C ratio as well as non-HDL/HDL-C ratios were independent markers to predict reduced OS. The TG/HDL-C ratio (HR 2.60, 95% CI 1.40–4.83, P = 0.002) was superior to non-HDL-C/HDL-C ratio based on hazard ratio (HR 2.43, 95% CI 1.09–5.40, P = 0.029). Conclusion TG/HDL-C ratio and non-HDL-C/HDL-C were identified as potential prognostic biomarkers in PD patients. The proposed nomograms can be utilized for prediction of OS in PD patients.

Background and aims: Dyslipidemia is common in patients with chronic kidney disease and particular prevalent in patients receiving peritoneal dialysis. However, whether markers of atherogenic dyslipidemia correlate with outcomes in dialysis patients as in the general population is uncertain. The aim of this study was to explore the prognostic value of the serum triglyceride/HDL cholesterol (TG/HDL-C) ratio and non-HDL-C/HDL-C ratio to predict mortality in peritoneal dialysis patients. Methods: Two hundred fourteen peritoneal dialysis patients were retrospectively analyzed from January 2011 to December 2015, with a median follow-up of 59 months. We used receiver operating curves (ROC) to determine the optimal threshold for TG/HDL-C and non-HDL/HDL-C ratios at baseline to predict overall survival during follow-up. Prognostic values were accessed by univariate and multivariate COX regression analysis and Kaplan-Meier curve. A predictive nomogram was developed to predict prognosis for overall survival, and the predictive accuracy was evaluated by concordance index (c-index). Results: The optimal cutoff values for TG/HDL-C ratio and non-HDL-C/HDL-C ratio to predict mortality were 1.94 and 2.86, respectively. A high TG/HDL-C ratio and a high non-HDL-C/HDL-C ratio strongly correlated with worse overall survival in peritoneal dialysis patients. Multivariate analysis demonstrated that elevated TG/HDL-C ratio (HR 3.57, 95% CI 1.99, 6.39, P < 0.000) as well as non-HDL/HDL-C ratio (HR 2.58, 95%CI 1.39-4.81, P = 0.003) were independent markers to predict reduced OS. A nomogram was constructed to predict overall survival, with a cindex for predictive accuracy of 0.795. Conclusion: TG/HDL-C ratio and non-HDL-C/HDL-C may serve as potential prognostic biomarkers in PD patients.