본문으로 건너뛰기
← 뒤로

The Role of Advanced Lung Cancer Inflammation Index in Predicting COPD Exacerbation Risks.

International journal of chronic obstructive pulmonary disease 2026 Vol.21() p. 559800

Kwok WC, Leung SHI, Tam TCC, Chau CH, Lam FM, Ho JCM

📝 환자 설명용 한 줄

[BACKGROUND] The role of the Advanced Lung Cancer Inflammation Index (ALI) in chronic obstructive pulmonary disease (COPD) remains unclear, although it has been utilized to investigate various non-mal

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p = 0.011

이 논문을 인용하기

BibTeX ↓ RIS ↓
APA Kwok WC, Leung SHI, et al. (2026). The Role of Advanced Lung Cancer Inflammation Index in Predicting COPD Exacerbation Risks.. International journal of chronic obstructive pulmonary disease, 21, 559800. https://doi.org/10.2147/COPD.S559800
MLA Kwok WC, et al.. "The Role of Advanced Lung Cancer Inflammation Index in Predicting COPD Exacerbation Risks.." International journal of chronic obstructive pulmonary disease, vol. 21, 2026, pp. 559800.
PMID 41878304

Abstract

[BACKGROUND] The role of the Advanced Lung Cancer Inflammation Index (ALI) in chronic obstructive pulmonary disease (COPD) remains unclear, although it has been utilized to investigate various non-malignant conditions.

[METHODS] A prospective study involving Chinese patients with COPD was carried out in Hong Kong to examine the relationship between baseline ALI levels and the risk of acute exacerbations of COPD (AECOPD). ALI was evaluated across quartiles. Patients were prospectively recruited from respiratory clinic in Queen Mary Hospital and Grantham Hospital in 2021, follow up with patients was done until 8th March 2025 or the death date, whichever is earlier.

[RESULTS] Among 272 Chinese COPD patients recruited, 138 of them had moderate to severe AECOPD and 66 patients died in the follow-up period. Those in the Q1 ALI, when compared with Q4 (highest quartile), had significantly shorter time to moderate to severe AECOPD with adjusted hazard ratio of (aHR) 2.17 (95% CI = 1.29-3.65, p = 0.011), severe AECOPD (aHR 2.05, 95% CI = 1.18-3.55, p = 0.011) and overall survival (aHR 2.73, 95% CI = 1.21-6.15, p = 0.015). The same phenomenon was also observed in the patient subgroup with baseline blood eosinophil counts <300 cells/μL.

[CONCLUSION] In this prospective study, it suggested that ALI can serve as a biomarker to predict the risk of moderate to severe AECOPD, as well as severe AECOPD and mortality. The phenomenon was also observed in the non-eosinophilic subgroup. This can allow clinicians to use this simple and repeatable biomarker as a way to prognosticate COPD patients and estimate AECOPD risks.

MeSH Terms

Humans; Pulmonary Disease, Chronic Obstructive; Male; Female; Prospective Studies; Aged; Middle Aged; Disease Progression; Lung Neoplasms; Risk Factors; Risk Assessment; Hong Kong; Severity of Illness Index; Predictive Value of Tests; Time Factors; Prognosis; Biomarkers; Lung

같은 제1저자의 인용 많은 논문 (1)