Correlations Between Inflammatory Biomarkers and COPD Severity in a Real-Life Setting

<b>Background:</b> With a steady increase in prevalence, chronic obstructive pulmonary disease (COPD) is recognized as a leading contributor to global mortality, which underscores the need to identify prognostic biomarkers that are easy to use in everyday practice. As both local and systemic inflammation play a pivotal part in the development and progression of COPD, the purpose of our study was to assess the role of inflammatory markers in estimating disease severity (GOLD 1 to 4) to guide the management and treatment of patients with COPD, thus helping to reduce episodes of decompensation and fatal outcomes in both immediate and long-term contexts. <b>Methods:</b> We performed a descriptive observational analysis with a cross-sectional design including 100 patients with stable COPD. All subjects underwent standard clinical examination, lung function tests and a comprehensive inflammation blood panel. <b>Results:</b> We included 55 patients with mild-moderate COPD (GOLD 1-2), 33 patients with advanced stages of COPD (GOLD 3) and 12 patients with very severe forms of the disease (GOLD 4). Male sex, smoking status, BMI, IL-1 beta, NLR, and nocturnal heart rate were parameters with significant value for assessing COPD severity (<i>p</i> < 0.05 for all). NLR correlates significantly with the predicted distance in the 6 MWT (<i>p</i> = 0.039). Significant associations were identified between IL-8 and duration of exposure of biomass fuel (<i>p</i> = 0.045) as well as between IL-6 and pack-years (<i>p</i> = 0.024), with both prognostic and therapeutic impact. Furthermore, the analysis of the total cohort revealed positive correlations between serum IL-6 and FVC (%) (<i>p</i> = 0.033) or NLR and the ratio between FEV1 and FVC (<i>p</i> = 0.048). The neutrophil-to-lymphocyte ratio (NLR) proved to be a reliable indicator of stages 3-4 GOLD (AUC 0.66, threshold value 2.3045, <i>p</i> = 0.004-a one-point increase in NLR corresponded to a 2.148 increase in FEV1). <b>Conclusions:</b> NLR emerged as a simple, accessible and highly informative biomarker in COPD, linked to disease severity and functional decline. Its integration into routine assessment could enhance prognosis and guide clinical decisions, a finding that warrants confirmation in future multicenter studies.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2025-09-15
DOI
https://doi.org/10.3390/jcm14186481
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correlations Between Inflammatory Biomarkers and COPD Severity in a Real-Life Setting

Lucia Corina Dima-Cozma, Doina-Clementina Cojocaru, Mitică Ciorpac, Sebastian Cozma et al.
Journal of Clinical Medicine
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Correlations Between Inflammatory Biomarkers and COPD Severity in a Real-Life Setting

Lucia Corina Dima-Cozma, Doina-Clementina Cojocaru, Mitică Ciorpac, Sebastian Cozma, Elena-Andreea Moaleș, Florin Mitu, Robert D. Negru, Paraschiva Postolache, Maria Magdalena Leon, Florin Dumitru Petrariu, Cristina Andreea Adam, Ioana Mădălina Zota, Maura Gabriela Felea, Andrei Mihordea
article en

Abstract

<b>Background:</b> With a steady increase in prevalence, chronic obstructive pulmonary disease (COPD) is recognized as a leading contributor to global mortality, which underscores the need to identify prognostic biomarkers that are easy to use in everyday practice. As both local and systemic inflammation play a pivotal part in the development and progression of COPD, the purpose of our study was to assess the role of inflammatory markers in estimating disease severity (GOLD 1 to 4) to guide the management and treatment of patients with COPD, thus helping to reduce episodes of decompensation and fatal outcomes in both immediate and long-term contexts. <b>Methods:</b> We performed a descriptive observational analysis with a cross-sectional design including 100 patients with stable COPD. All subjects underwent standard clinical examination, lung function tests and a comprehensive inflammation blood panel. <b>Results:</b> We included 55 patients with mild-moderate COPD (GOLD 1-2), 33 patients with advanced stages of COPD (GOLD 3) and 12 patients with very severe forms of the disease (GOLD 4). Male sex, smoking status, BMI, IL-1 beta, NLR, and nocturnal heart rate were parameters with significant value for assessing COPD severity (<i>p</i> < 0.05 for all). NLR correlates significantly with the predicted distance in the 6 MWT (<i>p</i> = 0.039). Significant associations were identified between IL-8 and duration of exposure of biomass fuel (<i>p</i> = 0.045) as well as between IL-6 and pack-years (<i>p</i> = 0.024), with both prognostic and therapeutic impact. Furthermore, the analysis of the total cohort revealed positive correlations between serum IL-6 and FVC (%) (<i>p</i> = 0.033) or NLR and the ratio between FEV1 and FVC (<i>p</i> = 0.048). The neutrophil-to-lymphocyte ratio (NLR) proved to be a reliable indicator of stages 3-4 GOLD (AUC 0.66, threshold value 2.3045, <i>p</i> = 0.004-a one-point increase in NLR corresponded to a 2.148 increase in FEV1). <b>Conclusions:</b> NLR emerged as a simple, accessible and highly informative biomarker in COPD, linked to disease severity and functional decline. Its integration into routine assessment could enhance prognosis and guide clinical decisions, a finding that warrants confirmation in future multicenter studies.

Journal of Clinical MedicineVol. 14(18)
Clinical Emergency Hospital Bucharest (RO), Grigore T. Popa University of Medicine and Pharmacy (RO), Academia Oamenilor de Știință din România (RO), Gheorghe Asachi Technical University of Iași (RO), Romanian Academy (RO)
Openalex Percentile: Top 64%
Chronic Obstructive Pulmonary Disease (COPD) Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.