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中性粒细胞与淋巴细胞比率对预测慢性阻塞性肺疾病急性加重住院患者 90 天不良预后的预后价值

 

Authors Feng X , Xiao H, Duan Y, Li Q, Ou X

Received 14 December 2022

Accepted for publication 30 May 2023

Published 14 June 2023 Volume 2023:18 Pages 1219—1230

DOI https://doi.org/10.2147/COPD.S399671

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Richard Russell

Objective: This study aimed to evaluate the predictive value of neutrophil to lymphocyte ratio (NLR) for poor outcomes within 90-day in hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).
Methods: A retrospective study including 503 AECOPD patients was performed, and the subjects’ clinical characteristics were collected. Binary logistic regression analysis was used to identify risk factors for 90-day poor outcomes in patients with AECOPD. Receiver-operating characteristic curves (ROC) and areas under the curves (AUC) were used to assess the ability of different biomarkers to predict the risk of 90-day mortality, readmission and re-exacerbation in patients with AECOPD.
Results: During the follow-up, 188 patients (38.4%) redeveloped exacerbations, 112 patients (22.9%) were readmitted, and 20 patients (4.1%) died directly resulted from COPD or COPD-related causes. Multivariate analysis demonstrated that age> 72 years (OR: 14.817, 95% CI: 1.561– 140.647), NLR> 14.17 (OR: 9.611, 95% CI: 2.303– 40.113), EOS< 0.15% (OR: 8.621, 95% CI: 3.465– 34.913) and BNP> 2840ng/L (OR: 5.291, 95% CI: 1.367– 20.474) at discharge were independent risk factors for 90-day mortality in AECOPD patients. NLR was the optimal biomarker for predicting 90-day mortality with an AUC of 0.802 (95% CI: 0.631– 0.973). Using 14.17 as the critical value of NLR, the sensitivity was 76.7%, and the specificity was 88.9%. Compared with mortality, NLR had no significant advantage in predicting risk of short-term re-exacerbation (AUC=0.580, 95% CI:0.529– 0.632, p=0.001) and readmission (AUC=0.555, 95% CI:0.497– 0.614, p=0.045), with AUCs less than 0.6. In contrast, the predictive value of EOS (AUC=0.561, 95% CI:0.502– 0.621, p=0.038) was slightly better than NLR in terms of readmission within 90 days. CRP did not serve as a well predictive biomarker for the risk of readmission and re-deterioration (p> 0.05).
Conclusion: NLR is of great value in predicting the risk of poor outcomes, especially COPD associated mortality, in hospitalized patients with AECOPD within 90 days after discharge.
Keywords: acute exacerbation of chronic obstructive pulmonary disease, neutrophil to lymphocyte ratio, mortality, readmission, eosinophil count, C-reactive protein, biomarker