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中华肾病研究电子杂志 ›› 2024, Vol. 13 ›› Issue (06) : 321 -326. doi: 10.3877/cma.j.issn.2095-3216.2024.06.004

论著

中性粒细胞百分比/白蛋白比值对维持性血液透析患者全因死亡的预测作用
张少青1, 吕玉风1,(), 董海霞1   
  1. 1.210000 南京市中心医院肾内科
  • 收稿日期:2023-11-01 出版日期:2024-12-28
  • 通信作者: 吕玉风

The predictive effect of neutrophil percentage-to-albumin ratio for all-cause mortality in maintenance hemodialysis patients

Shaoqing Zhang1, Yufeng Lv1,(), Haixia Dong1   

  1. 1.Department of Nephrology, Nanjing Central Hospital, Nanjing 210000, Jiangsu Province, China
  • Received:2023-11-01 Published:2024-12-28
  • Corresponding author: Yufeng Lv
引用本文:

张少青, 吕玉风, 董海霞. 中性粒细胞百分比/白蛋白比值对维持性血液透析患者全因死亡的预测作用[J/OL]. 中华肾病研究电子杂志, 2024, 13(06): 321-326.

Shaoqing Zhang, Yufeng Lv, Haixia Dong. The predictive effect of neutrophil percentage-to-albumin ratio for all-cause mortality in maintenance hemodialysis patients[J/OL]. Chinese Journal of Kidney Disease Investigation(Electronic Edition), 2024, 13(06): 321-326.

目的

探讨中性粒细胞百分比/白蛋白比值(NPAR)对维持性血液透析(MHD)患者全因死亡的预测作用。

方法

回顾性分析2014 年11 月至2020 年11 月南京市中心医院血液净化中心收治的MHD 患者100 例,根据NPAR 中位数将患者分为高NPAR 和低NPAR 组。 收集并比较两组基线临床资料、各实验室指标以及NPAR、中性粒细胞/淋巴细胞比值、单核细胞/高密度脂蛋白比值的差异。 采用Cox 回归模型分析MHD 患者全因死亡的危险因素;采用Kaplan-Meier 法进行生存分析;采用受试者工作特征(ROC)曲线评估相关指标对MHD 患者全因死亡的预测作用。

结果

随访至研究终点存活76 例、死亡24 例,存活组患者年龄低于死亡组(P <0.001)。 存活组患者的糖尿病合并症、中性粒细胞百分比、中性粒细胞/淋巴细胞比值、NPAR、C 反应蛋白和单核细胞/高密度脂蛋白比值均低于死亡组患者(P 均<0.05),而高密度脂蛋白则高于死亡组患者(P =0.006)。 多因素Cox 回归模型分析显示,年龄增长(HR =1.089,95%CI: 1.042 ~1.139,P <0.001)、合并糖尿病(HR =5.365,95%CI:1.957 ~14.706,P =0.001)、NPAR 增高(HR =4.196,95%CI:1.409 ~12.496,P =0.01)和C 反应蛋白增高(HR=1.169,95%CI:1.048 ~1.304,P =0.005)是MHD 患者全因死亡的独立危险因素。 与低NPAR 组患者比较,高NPAR 组总体生存率较低(χ2 = 19. 094,P <0. 001)。NPAR、C 反应蛋白、中性粒细胞/淋巴细胞比值以及单核细胞/高密度脂蛋白比值预测MHD 患者全因死亡的ROC 曲线下面积分别为0.766(95%CI:0.659 ~0.874,P <0.001)、0.682(95%CI:0.560 ~0.804,P=0.007)、0. 650(95%CI:0. 508 ~0. 792,P =0. 027)、0. 694(95%CI:0. 581 ~0. 808,P =0.004)。

结论

NPAR 对MHD 患者全因死亡具有一定的临床预测作用。

Objective

To explore the predictive effect of neutrophil percentage-to-albumin ratio(NPAR) on all-cause mortality in patients undergoing maintenance hemodialysis (MHD).

Methods

A retrospective analysis was performed on 100 MHD patients admitted to the Blood Purification Center of Nanjing Central Hospital from November 2014 to November 2020. The patients were divided into high NPAR and low NPAR groups based on the median NPAR. Baseline clinical data, laboratory indicators, NPAR,neutrophil/lymphocyte ratio, and monocyte/HDL ratio were collected and compared between the two groups.The risk factors of all-cause mortality in the MHD patients were analyzed by COX regression analysis. The survival analysis was conducted using the Kaplan-Meier method, and receiver operating characteristics(ROC) curves were used to assess the predictive effect of relevant indicators for all-cause death in the MHD patients.

Results

The follow-up at the end of the study disclosed that 76 patients survived and 24 patients died. The age of patients in the survival group was lower than that in the death group (P <0. 001).Compared with the death group, the survival group showed lower levels of diabetes mellitus complication,neutrophil percentage, neutrophil/lymphocyte ratio, NPAR, C-reactive protein, and monocyte/high-density lipoprotein ratio (all P <0. 05), but showed higher level of high-density lipoprotein (P = 0. 006).Multivariate Cox regression model analysis showed that age increase (HR=1.089, 95%CI: 1.042-1.139,P <0.001), diabetes complication (HR =5.365, 95%CI: 1.957-14.706, P =0.001), NPAR increase(HR=4.196,95%CI:1.409-12.496, P=0.01), and C-reactive protein increase (HR =1.169, 95%CI:1.048-1. 304, P = 0.005) were independent risk factors for the all-cause death in the MHD patients.Compared with the low NPAR group,the overall survival rate of the high NPAR group was lower (χ2 =19.094,P <0.001). For predicting the all-cause mortality in the MHD patients, the areas under the ROC curves of NPAR, C-reactive protein, neutrophil/lymphocyte ratio, and monocyte/high-density lipoprotein ratio were 0.766 (95%CI:0.659-0.874, P <0.001), 0.682(95%CI:0.560-0.804,P =0.007), 0.650(95%CI:0.508-0.792,P=0.027), and 0.694(95%CI:0.581-0.808,P=0.004), respectively.

Conclusion

NPAR has a certain clinical predictive effect on the all-cause mortality in the MHD patients.

表1 存活组与死亡组维持性血液透析患者临床及实验室指标比较
临床资料 存活组(76例) 死亡组(24例) 统计量 P
年龄(岁) 64(52.25,73.75) 77(71.25,85.75) -4.086 <0.001
性别[例(%)]
48(63.16) 16(66.67) 0.097 0.755
28(36.84) 8(33.33)
透析龄(月) 62.00(47.25,122.75) 54.00(45.25,86.00) -1.602 0.109
合并糖尿病[例(%)] 22(28.95) 13(54.17) 5.099 0.024
降压药物数量(种) 2(1,2) 2(1,2) -0.384 0.701
重组人促红素剂量(IU/W) 9000(7500,10000) 9500(9000,10000) -1.722 0.085
活性维生素D剂量(μg/W) 1.50(1.50,2.25) 1.50(1.50,1.94) -0.029 0.977
中性粒细胞(×109/L) 4.15±1.33 4.77±1.74 1.826 0.071
中性粒细胞百分比(%) 65.37±6.01 70.52±6.47 -3.593 0.001
淋巴细胞(×109/L) 1.12(0.86,1.39) 1.02(0.89,1.21) -1.174 0.240
NLR 3.58(2.75,4.47) 5.06(2.96,5.96) -2.215 0.027
单核细胞(×109/L) 0.33(0.26,0.50) 0.42(0.27,0.51) -1.086 0.277
血小板(×109/L) 173.33±47.22 175.50±64.63 0.179 0.858
血红蛋白(g/L) 110.47±14.20 107.96±16.23 -0.731 0.467
RDW(%) 47.0(44.3,50.4) 48.0(46.0,51.1) -1.074 0.283
白蛋白(g/L) 39.62±4.09 37.86±3.23 -1.920 0.058
NPAR 1.67±0.24 1.87±0.20 3.700 <0.001
CRP(mg/L) 2.41(1.02,5.48) 5.48(2.37,7.35) -2.680 0.007
高密度脂蛋白(mmol/L) 1.01(0.81,1.28) 0.84(0.73,1.02) -2.741 0.006
MHR 0.33(0.24,0.454) 0.46(0.34,0.60) -2.857 0.004
血尿素氮(mmol/L) 24.95(21.15,28.83) 24.60(17.68,25.98) -1.521 0.128
血清肌酐(μmmol/L) 838.62±286.87 732.76±246.53 -1.627 0.107
血尿酸(μmol/L) 414.0(332.3,473.0) 359.0(305.7,456.6) -1.695 0.090
β2-微球蛋白(mg/L) 21.49±4.96 22.99±6.16 1.222 0.225
Kt/V 1.445(1.293,1.668) 1.350(1.283,1.655) -0.803 0.422
甲状旁腺激素(pg/ml) 318.35(212.65,439.03) 349.30(200.90,486.33) -0.488 0.625
铁蛋白(ng/ml) 107.99(56.51,224.84) 101.08(52.62,155.21) -0.851 0.395
钙(mmol/L) 2.17±0.20 2.13±0.19 -0.794 0.429
磷(mmol/L) 1.82(1.49,2.17) 1.89(1.57,2.31) -0.541 0.589
钾(mmol/L) 4.52±0.51 4.78±0.89 1.379 0.179
镁(mmol/L) 0.99(0.93,1.11) 1.02(0.91,1.12) -0.339 0.734
表2 患者全因死亡危险因素Cox 回归模型分析(100 例)
图1 高NPAR 组患者和低NPAR 组患者累积生存率比较 注:NPAR:中性粒细胞百分比/白蛋白比值
图2 中性粒细胞百分比/白蛋白比值、中性粒细胞/淋巴细胞比值、单核细胞/高密度脂蛋白比值和C 反应蛋白预测患者全因死亡ROC 曲线 注:NPAR:中性粒细胞百分比/白蛋白比值;NLR:中性粒细胞/淋巴细胞比值;MHR:单核细胞/高密度脂蛋白比值;CRP:C 反应蛋白
[1]
Yajima T, Yajima K, Arao M. Combined evaluation of geriatric nutritional risk index and modified creatinine index for predicting mortality in patients on hemodialysis [J]. Nutrients, 2022, 14(4):752.
[2]
Liao J,Wei D,Sun C,et al. Prognostic value of the combination of neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio and platelet-to-lymphocyte ratio on mortality in patients on maintenance hemodialysis [J]. BMC Nephrol,2022,23(1):393.
[3]
Wang B, Li D, Cheng B, et al. The neutrophil percentage-to-albumin ratio is associated with all-cause mortality in critically ill patients with acute kidney injury [J]. Biomed Res Int, 2020,2020:5687672.
[4]
Yu Y, Liu Y, Ling X, et al. The neutrophil percentage-toalbumin ratio as a new predictor of all-cause mortality in patients with cardiogenic shock [J]. Biomed Res Int, 2020, 2020:7458451.
[5]
Cui H, Ding X, Li W, et al. The neutrophil percentage to albumin ratio as a new predictor of in-hospital mortality in patients with ST-segment elevation myocardial infarction [J].Med Sci Monit,2019,25:7845-7852.
[6]
Tingle SJ, Severs GR, Goodfellow M, et al. NARCA: a novel prognostic scoring system using neutrophil-albumin ratio and Ca19-9 to predict overall survival in palliative pancreatic cancer[J]. J Surg Oncol,2018,118(4):680-686.
[7]
Wang Y, Gao L. Inflammation and cardiovascular disease associated with hemodialysis for end-stage renal disease [J].Front Pharmacol,2022,13:800950.
[8]
张楠, 郭志勇. 微炎症因子在监测血液透析患者心血管并发症中的作用研究进展[J/CD]. 中华肾病研究电子杂志,2021,10(1):47-50.
[9]
Cicek MC, Gunseren KO, Aydin YM, et al. Monocyte-to-highdensity lipoprotein cholesterol ratio is independently associated with all-cause mortality in deceased donor kidney transplant recipients [J]. Exp Clin Transplant, 2021, 19(10): 1041-1047.
[10]
Li H, Lu X, Xiong R, et al. High neutrophil-to-lymphocyte ratio predicts cardiovascular mortality in chronic hemodialysis patients [J]. Mediators Inflamm,2017,2017:9327136.
[11]
陈蕾, 魏丽敏, 程鑫, 等. 中性粒细胞/淋巴细胞比值对急性肾损伤重症患者预后的评估价值[J/CD]. 中华肾病研究电子杂志,2021,10(2):64-69.
[12]
Huang W, Wang L, Wan X. The impact of monocyte to highdensity lipoprotein ratio on reduced renal function: insights from a large population [J]. Biomark Med,2019,13(9):773-783.
[13]
Quinlan GJ, Martin GS, Evans TW. Albumin: biochemical properties and therapeutic potential [J]. Hepatology, 2005, 41(6):1211-1219.
[14]
Utariani A, Rahardjo E, Perdanakusuma DS. Effects of albumin infusion on serum levels of albumin, proinflammatory cytokines(TNF-α, IL-1, and IL-6), CRP, and MMP-8; tissue expression of EGRF, ERK1, ERK2, TGF-β, Collagen, and MMP-8; and wound healing in Sprague Dawley rats [J]. Int J Inflam,2020,2020:3254017.
[15]
Song KK, Zhao DL, Wang YD, et al. Analysis of factors associated with death in maintenance hemodialysis patients: a multicenter study in China [J]. Chin Med J(Engl),2017,130(8):885-891.
[16]
Zhang F, Wang H, Wang W, et al. The role of physical activity and mortality in hemodialysis patients: a review [J]. Front Public Health,2022,10:818921.
[17]
Kitamura H, Yotsueda R, Hiyamuta H, et al. Serum alkaline phosphatase and infection-related mortality in hemodialysis patients: ten-year outcomes of the Q-cohort study [J]. Clin Exp Nephrol,2022,26(11):1119-1129.
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