Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland).
Med Sci Monit. 2022 Mar 10;28:e934687. doi: 10.12659/MSM.934687.
BACKGROUND Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is significantly associated with increased mortality. The current study aimed to investigate the predictive ability of the prognostic nutritional index (PNI) in 30-day mortality among AECOPD patients admitted to the ICU. MATERIAL AND METHODS Clinical data were extracted from the Medical Information Mart for Intensive Care-III (MIMIC-III) database. Patients were divided into 3 groups according to the tertiles of PNI. Cox proportional hazard regressions were performed to assess the association between PNI and 30-day mortality. Subgroup analyses were performed to identify the consistency of the association. Receiver operator characteristic (ROC) curve analysis was performed to evaluate the predictive accuracy among PNI, serum albumin, neutrophil-to-lymphocyte (NLR), and platelet-to-lymphocyte ratio (PLR). RESULTS A total of 494 AECOPD patients were included in this study. The mean age was 70.8±10.4 years old. Kaplan-Meier analysis showed ongoing divergence in rates of mortality among tertiles (p<0.001). After adjusting for confounders, high PNI tertile was an independent favorable predictor of 30-day mortality (HR=0.39; 95% CI, 0.19-0.80; p=0.011) compared to low tertile reference. Subgroup analysis showed that the predictive ability of PNI was especially suitable for patients aged >70 years and with mechanical ventilation. The cut-off value of PNI was 31.8 with sensitivity 62.3% and specificity 64.1%. The area under the ROC of PNI (0.642, 95% CI, 0.560 to 0.717) was better than that of serum albumin, NLR, and PLR. CONCLUSIONS PNI could serve as a simple and reliable prognostic biomarker for AECOPD patients in the ICU.
慢性阻塞性肺疾病(COPD)急性加重(AECOPD)与死亡率显著增加相关。本研究旨在探讨预后营养指数(PNI)在 ICU 收治的 AECOPD 患者 30 天死亡率预测中的作用。
从医疗信息集市-III(MIMIC-III)数据库中提取临床数据。患者根据 PNI 的三分位将其分为 3 组。使用 Cox 比例风险回归评估 PNI 与 30 天死亡率之间的关系。进行亚组分析以确定该关联的一致性。绘制受试者工作特征(ROC)曲线评估 PNI、血清白蛋白、中性粒细胞与淋巴细胞(NLR)和血小板与淋巴细胞(PLR)的预测准确性。
共纳入 494 例 AECOPD 患者。患者的平均年龄为 70.8±10.4 岁。Kaplan-Meier 分析显示,死亡率在三分位之间持续出现差异(p<0.001)。调整混杂因素后,与低三分位参考相比,高 PNI 三分位是 30 天死亡率的独立有利预测因子(HR=0.39;95%CI,0.19-0.80;p=0.011)。亚组分析表明,PNI 的预测能力特别适用于年龄>70 岁和需要机械通气的患者。PNI 的截断值为 31.8,灵敏度为 62.3%,特异性为 64.1%。PNI 的 ROC 曲线下面积(0.642,95%CI,0.560 至 0.717)优于血清白蛋白、NLR 和 PLR。
PNI 可作为 ICU 中 AECOPD 患者的一种简单可靠的预后生物标志物。