Nutritional and Inflammatory Predictors of All-Cause Mortality in COPD Patients with Hypercapnic Respiratory Failure: A Two-Center Prospective Cohort Study

营养和炎症因素对伴有高碳酸血症呼吸衰竭的慢性阻塞性肺疾病患者全因死亡率的预测作用:一项双中心前瞻性队列研究

阅读:1

Abstract

BACKGROUND: Patients with chronic obstructive pulmonary disease (COPD) complicated by hypercapnic respiratory failure (HRF) often have a poor prognosis. Systemic inflammation and malnutrition are associated with adverse outcomes in COPD, yet the prognostic value of nutritional/inflammatory markers remains underexplored in COPD patients with HRF. METHODS: This prospective two-center cohort study enrolled 582 COPD complicated by HRF patients. Six indices, including Platelet-to-Lymphocyte Ratio (PLR), Neutrophil-to-Lymphocyte Ratio (NLR), Systemic Immune-Inflammation Index (SII), Prognostic Nutritional Index (PNI), Neutrophil Percentage-to-Albumin Ratio (NPAR), and Hemoglobin-Albumin-Lymphocyte-Platelet index (HALP), were calculated from admission biomarkers. Associations with 24-month all-cause mortality were evaluated using restricted cubic splines, Kaplan-Meier analysis, multivariable Cox regression, machine learning (Random Survival Forests, Boruta), threshold effect and subgroup analysis. Predictive performance was assessed via the receiver operating characteristic curve (ROC) analysis. RESULTS: Over 24 months, 263 patients (45.2%) died. Non-survivors exhibited significantly higher NLR, PLR, SII, and NPAR, but lower PNI and HALP (P < 0.05). Kaplan-Meier analysis and Cox models confirmed that higher PNI (HR=0.72, 95% CI:0.54-0.96) and HALP (HR=0.55, 95% CI:0.41-0.74) were negatively correlated with all-cause mortality, while elevated PLR (HR=1.39, 95% CI:1.04-1.85), NLR (HR=1.39, 95% CI:1.02-1.88), SII (HR=1.51, 95% CI:1.11-2.05), and NPAR (HR=1.46, 95% CI:1.10-1.95) were positively correlated with all-cause mortality. For each one-standard-deviation increase in the indicators, all-cause mortality statistically significantly increased or decreased (P for trend < 0.05), with the exception of SII. Machine learning and ROC analyses consistently identified HALP, PNI, and NPAR as top predictors, with HALP demonstrating the highest importance. Subgroup analyses confirmed consistent prognostic utility for PNI, HALP, and NPAR. CONCLUSION: PNI, HALP, and NPAR are promising, readily available predictors of all-cause mortality in COPD patients with HRF, potentially enhancing risk stratification and personalized management.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。