Abstract：
BACKGROUND: Neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) are markers of systemic inflammatory status. The relationship between NLR, PLR, and mortality is controversial among hemodialysis (HD) patients.
OBJECTIVE: Evaluate NLR and PLR in the prediction of mortality in chronic HD patients.
METHODS: We analyzed 130 patients with a follow-up for 66 months. Four groups were established according to NLR-PLR values. Kaplan-Meier curves and Cox proportional hazards analysis were used.
RESULTS: NLR-PLR correlated positively with C-reactive protein. Cox regression analysis for overall mortality among the four groups included age (HR 1.027, 95% CI 1.003-1.053) and albumin (HR 0.25, 95% CI 0.073-0.85). For cardiovascular (CV) mortality only pulse pressure differential (PPD) was included (HR 1.033; 95% CI 1.014-1.052). Low NLRs and high PLRs were associated with CV mortality (Log Rank test, p = 0.033).
CONCLUSIONS: Low NLRs and high PLRs predict the risk of CV mortality among HD patients.
OBJECTIVE: Evaluate NLR and PLR in the prediction of mortality in chronic HD patients.
METHODS: We analyzed 130 patients with a follow-up for 66 months. Four groups were established according to NLR-PLR values. Kaplan-Meier curves and Cox proportional hazards analysis were used.
RESULTS: NLR-PLR correlated positively with C-reactive protein. Cox regression analysis for overall mortality among the four groups included age (HR 1.027, 95% CI 1.003-1.053) and albumin (HR 0.25, 95% CI 0.073-0.85). For cardiovascular (CV) mortality only pulse pressure differential (PPD) was included (HR 1.033; 95% CI 1.014-1.052). Low NLRs and high PLRs were associated with CV mortality (Log Rank test, p = 0.033).
CONCLUSIONS: Low NLRs and high PLRs predict the risk of CV mortality among HD patients.
摘要：
背景：中性粒细胞-淋巴细胞比值（NLR）和血小板-淋巴细胞比值（PLR）是全身炎症状态的标志。NLR之间的关系，PLR,和死亡率在血液透析（HD）患者中存在争议。
目的：评估NLR和PLR在预测慢性HD患者死亡率中的作用。
方法：我们分析了130例随访66个月的患者。根据NLR-PLR值建立4组。使用Kaplan-Meier曲线和Cox比例风险分析。
结果：NLR-PLR与C反应蛋白呈正相关。四组总死亡率的Cox回归分析包括年龄(HR1.027,95%CI1.003-1.053)和白蛋白(HR0.25,95%CI0.073-0.85)。对于心血管（CV）死亡率，仅包括脉压差（PPD）（HR1.033；95％CI1.014-1.052）。低NLR和高PLR与CV死亡率相关(LogRank检验，p=0.033)。
结论：低NLR和高PLR预测HD患者CV死亡的风险。
目的：评估NLR和PLR在预测慢性HD患者死亡率中的作用。
方法：我们分析了130例随访66个月的患者。根据NLR-PLR值建立4组。使用Kaplan-Meier曲线和Cox比例风险分析。
结果：NLR-PLR与C反应蛋白呈正相关。四组总死亡率的Cox回归分析包括年龄(HR1.027,95%CI1.003-1.053)和白蛋白(HR0.25,95%CI0.073-0.85)。对于心血管（CV）死亡率，仅包括脉压差（PPD）（HR1.033；95％CI1.014-1.052）。低NLR和高PLR与CV死亡率相关(LogRank检验，p=0.033)。
结论：低NLR和高PLR预测HD患者CV死亡的风险。
