Development and validation of prediction model for technique failure in peritoneal dialysis patients: An observational study.

AIM: This study aimed to establish a prediction model in peritoneal dialysis patients to estimate the risk of technique failure and guide clinical practice. METHODS: Clinical and laboratory data of 424 adult peritoneal dialysis patients were retrospectively collected. The risk prediction models were built using univariate Cox regression, best subsets approach and LASSO Cox regression. Final nomogram was constructed based on the best model selected by the area under the curve. RESULTS: After comparing three models, the nomogram was built using the LASSO Cox regression model. This model included variables consisting of hypertension and peritonitis, serum creatinine, low-density lipoprotein, fibrinogen and thrombin time, and low red blood cell count, serum albumin, triglyceride and prothrombin activity. The predictive model constructed performed well using receiver operating characteristic curve and area under the curve value, C-index and calibration curve. CONCLUSION: This study developed and verified a new prediction instrument for the risk of technique failure among peritoneal dialysis patients.

Nut Consumption and Effects on Chronic Kidney Disease and Mortality in the United States.

BACKGROUND: Nuts have been found to have beneficial effects on some diseases, including cardiovascular disease and cancer, in several studies. However, there are few studies to show the effects of nuts on chronic kidney disease (CKD). Thus, we conducted this study to examine the association between the consumption frequency of nuts and the prevalence and mortality of CKD among adults in the USA. METHODS: We analyzed data from 6,072 individuals (aged ≥20 years) who participated in the NHANES 2003-2006 following the scheduled procedure. Data on death were provided by the CDC. A logistic regression model was used to evaluate the association between nut consumption frequency and the prevalence of CKD. A Cox proportional hazards regression model was performed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between nut consumption frequency and all-cause mortality and cardiovascular mortality in the CKD and non-CKD populations. RESULTS: Consuming nuts 1-6 times per week was associated with a lower prevalence of CKD (model 3: OR: 0.67; 95% CI: 0.49-0.91). In addition, higher nut consumption was significantly associated with lower all-cause and cardiovascular mortality in the non-CKD population. For the CKD population, a consistently significant inverse association could be seen between consuming nuts 1-6 per week and all-cause mortality (model 3: HR: 0.63; 95% CI: 0.47-0.86). No groups showed a significant difference in cardiovascular mortality compared with the reference in the full model. CONCLUSION: We recommend the CKD population to have an adequate intake of nuts 1-6 times per week, while the consumption frequency can be more flexible for the non-CKD. Further prospective studies should be conducted to confirm this conclusion.