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Predictive Value of Peripheral Blood Neutrophil-To-Lymphocyte Ratio and Platelet-To-Lymphocyte Ratio on Patient
Background:
This study is to explore the predictive value of peripheral blood neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) on the prognosis of patients with peritoneal dialysis (PD).
Methods:
A total of 378 patients who underwent PD from July 2004 to November 2019 were selected as the research subjects. According to whether death occurred during the follow-up period, they were divided into death group (86 cases) and survival group (292 cases). The differences in clinical indicators between the two groups were compared, and the multivariate Cox regression model and receiver operating characteristic curve (ROC) were used to analyze and summarize the factors affecting the prognosis of PD patients.
Results:
Compared with the survival group, there were significant differences in age, lymphocytes, NLR, PLR, and combined cerebrovascular disease between the death group and the survival group (p < 0.05). Multivariate Cox regression analysis showed that advanced age (HR = 1.055, 95% CI: 1.038 - 1.072), increased NLR (HR = 1.136, 95% CI: 1.067 - 1.210), and increased PLR (HR = 1.184, 95% CI: 1.018 - 3.026) were risk factors for all-cause death in PD patients. The results showed that the area under the ROC curve (AUC) of NLR and PLR for predicting all-cause death of PD patients were 0.698 and 0.659, respectively, the sensitivity was 69.77%, and the specificity was 66.78% and 58.56%, respectively. The optimal critical values were NLR ≥ 3.71 and PLR ≥ 149.28. Taking the best cutoff value of the ROC curve as the threshold, it showed that the cumulative survival rate of patients with NLR ≥ 3.71 was significantly lower than that of patients with NLR < 3.71 (Log rank 2 = 37.551, p = 0.000). It also showed that the cumulative survival rate of patients with PLR ≥ 149.28 was lower than that of patients with PLR < 149.28 (Log rank 2 =23.686, p = 0.000).
Conclusions:
NLR and PLR have a good predictive effect on the prognosis of PD patients.
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