实用老年医学 ›› 2025, Vol. 39 ›› Issue (12): 1263-1268.doi: 10.3969/j.issn.1003-9198.2025.12.015

• 临床研究 • 上一篇    下一篇

基于血常规的衍生指标联合SAPSⅡ评分对老年脓毒症相关急性肾损伤患者的预后价值分析

蔡洪霞, 张晓敏, 周耀, 张心北, 邹良哲, 高志梅, 屠苏   

  1. 214000 江苏省无锡市,江南大学无锡医学院(蔡洪霞,张心北,邹良哲);
    214000 江苏省无锡市,江南大学附属中心医院急诊科(张晓敏,周耀,高志梅,屠苏)
  • 收稿日期:2025-06-04 发布日期:2025-12-26
  • 通讯作者: 屠苏,Email:scorpion_ts@163.com

Prognostic value of complete blood count-derived ratios combined with the SAPS Ⅱ Score in elderly patients with sepsis-associated acute kidney injury

CAI Hongxia, ZHANG Xiaomin, ZHOU Yao, ZHANG Xinbei, ZOU Liangzhe, GAO Zhimei, TU Su   

  1. Wuxi Medical College, Jiangnan University, Wuxi 214000, China(CAI Hongxia, ZHANG Xinbei, ZOU Liangzhe);
    Emergency Department, Affiliated Central Hospital of Jiangnan University, Wuxi 214000, China(ZHANG Xiaomin, ZHOU Yao, GAO Zhimei, TU Su)
  • Received:2025-06-04 Published:2025-12-26
  • Contact: TU Su, Email: scorpion_ts@163.com

摘要: 目的 探究中性粒细胞-淋巴细胞比值(NLR)、淋巴细胞-单核细胞比值(LMR)、血小板-淋巴细胞比值(PLR)、红细胞分布宽度-血小板计数比值(RPR)联合简化急性生理学评分(SAPSⅡ)对老年脓毒症相关急性肾损伤(SA-AKI)患者90 d预后的预测价值。 方法 基于重症监护医疗信息库(MIMIC)-Ⅳ 2.2版数据库,回顾性分析2008—2019年首次入住ICU的4589例老年SA-AKI患者的病例资料,根据90 d预后分为存活组(2978例)和死亡组(1611例)。采用单因素和多因素Cox回归分析筛选老年SA-AKI 患者预后的独立危险因素。通过ROC曲线的AUC评估各指标及联合模型对老年SA-AKI患者90 d预后的预测效能。 结果 多因素Cox回归分析结果显示,NLR、LMR、RPR、24 h尿量、乳酸、尿素氮、SAPSⅡ是老年SA-AKI患者90 d死亡的独立危险因素(P<0.05)。ROC曲线分析结果显示,NLR+LMR+RPR联合SAPSⅡ预测老年SA-AKI患者90 d预后的AUC为0.717(95%CI:0.701~0.733),高于尿素氮+24 h尿量联合SAPSⅡ的AUC[0.692(95%CI:0.676~0.709)](DeLong’s检验,P<0.001)。 结论 血常规衍生指标(NLR、LMR、RPR)联合SAPSⅡ对SA-AKI患者的90 d预后具有较好的预测价值,其效能优于传统肾损伤指标联合SAPSⅡ。

关键词: 脓毒症相关急性肾损伤, 老年人, 中性粒细胞-淋巴细胞比值, 淋巴细胞-单核细胞比值, 红细胞分布宽度-血小板计数比值, 预后, MIMIC-Ⅳ数据库, 简化急性生理学评分

Abstract: Objective To investigate the predictive value of the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and red blood cell distribution width-to-platelet ratio (RPR) combined with simplified acute physiology score Ⅱ (SAPS Ⅱ)for the 90-day prognosis of elderly patients with sepsis-associated acute kidney injury (SA-AKI). Methods Based on the MIMIC-Ⅳ 2.2 database, a retrospective analysis was conducted on 4589 elderly SA-AKI patients admitted to the ICU for the first time from 2008 to 2019. According to their 90-day outcome, the patients were divided into a survival group (n=2978) and a death group (n=1611). Univariate and multivariate Cox regression analysis were used to identify independent risk factors for prognosis. The predictive performance of each indicator and combined models for the 90-day prognosis was assessed using the area under the receiver operating characteristic (ROC) curve (AUC). Results Multivariate Cox regression analysis showed that NLR, LMR, RPR, 24-hour urine output, lactate, blood urea nitrogen (BUN), and the SAPS Ⅱ were independent risk factors for 90-day mortality in elderly SA-AKI patients (P<0.05). ROC curve analysis revealed that the combined model of NLR+LMR+RPR+SAPS Ⅱ had an AUC of 0.717 (95%CI: 0.701-0.733) for predicting 90-day prognosis, which was significantly higher than the AUC of 0.692 (95%CI: 0.676-0.709) for the model combining BUN+24-hour urine output+SAPS Ⅱ (DeLong’s test, P<0.001). Conclusions The combination of complete blood count-derived ratios (NLR, LMR, RPR) and SAPS Ⅱ has good predictive value for the 90-day prognosis of SA-AKI patients, outperforming the model combining traditional kidney injury markers and SAPS Ⅱ.

Key words: sepsis-associated acute kidney injury, aged, neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, red blood cell distribution width-to-platelet count ratio, prognosis, MIMIC-Ⅳ database, simplified acute physiology score

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