Systemic immune-inflammation index and neutrophil-to-lymphocyte ratio as biomarkers for acute exacerbation of elderly patients with chronic bronchitis
DOI:
https://doi.org/10.3855/jidc.22392Keywords:
Chronic bronchitis, acute exacerbation, elderly, systemic immune-inflammation index, neutrophil-to-lymphocyte ratioAbstract
Objectives: To evaluate the clinical utility of the systemic immune‑inflammation index (SII) and neutrophil‑to‑lymphocyte ratio (NLR) as predictive biomarkers for acute exacerbation in elderly patients with chronic bronchitis (CB).
Methods: This retrospective cross‑sectional study involved 215 elderly patients with CB. Patients were divided into two groups based on clinical presentation: stable CB (n = 93) and acute exacerbation of chronic bronchitis (AECB) (n = 122). Baseline clinical parameters and laboratory indicators were collected and analyzed.
Results: The AECB group exhibited significantly lower lymphocyte count and reduced serum albumin level, alongside significantly increased levels of C‑reactive protein (CRP), NLR, and SII (p < 0.001) compared with the stable CB group. Multivariate logistic regression indicated that decreased albumin (odds ratio (OR) = 0.605), and higher values of CRP (OR = 1.058), NLR (OR = 1.505), and SII (OR = 1.004) were all significantly associated with the likelihood of AECB. Among individual markers, SII showed the highest discriminatory capacity (AUC = 0.856), with albumin (AUC = 0.833), NLR (AUC = 0.823), and CRP (AUC = 0.822) performing comparably. Combining the four indicators resulted in a significantly enhanced diagnostic estimate (AUC = 0.970), achieving a sensitivity of 86.9% and a specificity of 96.8%.
Conclusions: NLR and SII can serve as valuable inflammatory indicators for acute exacerbations in older patients with CB. When used alongside albumin and CRP, these markers modestly improve the ability to distinguish between stable and exacerbated states, offering supportive value in the early clinical assessment of AECB risk.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Chao Zhang, Yunfeng Ni, Dong Han

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

