[Association of platelet/lymphocyte ratio and neutrophil/lymphocyte ratio with protein-energy wasting in maintenance hemodialysis patients].

ABSTRACT

Objective: To explore the association of platelet/lymphocyte ratio (PLR) and neutrophil/lymphocyte ratio (NLR) with protein energy wasting (PEW) in maintenance hemodialysis (MHD) patients. Methods: A multicenter cross-sectional study was conducted in eleven hemodialysis centers of Guizhou province from June to August, 2017. Clinical data, physical parameters, body composition data and laboratory values of MHD patients were collected. PLR and NLR were calculated according to routine blood test. All patients were divided into four groups (Q1-Q4) according to the median and quartile of PLR and NLR. Multivariate logistic regression models were applied to analyze the relationships between PLR, NLR and PEW. The comparison of predictive power of PLR and NLR for PEW was evaluated by receiver operating characteristic curve (ROC). Results: A total of 936 MHD patients were enrolled (519 males, 417 females), with a mean age of (55.6±15.6) years. The prevalence of PEW was 46.2% (432/936). Multivariate logistic regression analysis showed that patients in group PLR Q3 and Q4 were 2.07 (95%CI 1.03-4.13, P=0.014) and 2.73 (95%CI 1.58-4.74, P<0.001) times more likely to have PEW, compared with those in group PLR Q1 in unadjusted models. PLR was significantly associated with the development of PEW after adjusting age, sex, history of hypertension, diabetes and hemoglobin. Patients in Group PLR Q3 and Q4 were 2.82 times (95%CI 1.42-5.60, P=0.003) and 2.93 times (95%CI 1.50-5.73, P=0.002) times more likely to have PEW than those in Group PLR Q1. The ROC showed that only PLR can predict the development of PEW with a diagnostic threshold of 144.09 [area under curve (AUC)=0.61, 95%CI 0.56-0.66, P<0.001], with a sensitivity and specificity of 61% and 58%, respectively, while the AUC of NLR is 0.55 (P=0.091). Conclusion: For MHD patients, only PLR could be a relevent factor of PEW and it showed the predictive power of PEW rather than NLR.