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Comparing triggers and comorbidities of acute exacerbations in COPD: Smokers versus non-smokers Cover

Comparing triggers and comorbidities of acute exacerbations in COPD: Smokers versus non-smokers

Open Access
|Jul 2025

Full Article

Introduction

Currently, chronic obstructive pulmonary disease (COPD) is ranked as the third-highest contributor to global mortality, resulting in approximately 3.23 million deaths. The majority of COPD-related deaths among individuals under 70 years old occur in low and middle-income countries (LMICs), accounting for nearly 90% of cases (1). Globally, COPD is a leading cause of morbidity and mortality that induces an economic and social burden, which is projected to increase in the coming decades because of continued exposure to COPD risk factors and the ageing of the population (2, 3).

In patients with COPD, the disease course is punctuated by exacerbations (an acute worsening of symptoms). In COPD, exacerbations are the major cost drivers, either directly or indirectly. COPD patients who have experienced one episode of exacerbation are at increased risk of recurrence. Frequent exacerbations are defined as two or more episodes per year (4). Exacerbations have been associated with an accelerated decline in pulmonary function, a negative impact on the quality of life and a decrease in survival rates (5).

Smoking is known as the most important cause of COPD, amounting to about 85% of COPD cases, of which 50% are smokers and 15% are non-smokers (6). This includes approximately 50% current smokers and 35% former smokers, with 25%–30% of COPD cases occurring in non-smokers due to factors such as biomass fuel exposure and air pollution (6, 7). Approximately 70% of COPD cases are attributable to smoking, while 25%–30% occur in non-smokers due to factors such as biomass fuel exposure, air pollution, occupational hazards and respiratory infections (6, 7). To clarify, smoking (current and former) accounts for approximately 70%–75% of COPD cases globally, with 40%–50% attributed to current smokers and 25%–30% to former smokers; the remaining 25%–30% occur in never-smokers, primarily due to biomass fuel exposure, air pollution, occupational hazards and respiratory infections, particularly in regions like India, where environmental exposures are prevalent (6, 7). Although much of the evidence has concentrated only on smokers, it has been reported that at least one-fourth of patients with COPD are non-smokers (7). Risk factors of COPD in non-smokers may include genetic factors, long-standing asthma, outdoor air pollution (e.g. from traffic and other sources), environmental smoke exposure, biomass smoke, occupational exposure, diet, recurrent respiratory infection in early childhood, tuberculosis (TB) and so on (7).

In the Asian region, indoor/outdoor air pollution and poor socioeconomic status may play important roles in the pathogenesis of non-smoking-related COPD (8, 9).

Few studies have compared acute exacerbation triggers and comorbidities between smokers and non-smokers. This study aimed to compare the variables associated with acute exacerbations of COPD (AECOPD) and to evaluate the role of comorbidities in exacerbation severity among smokers and non-smokers. Therefore, this study was designed to identify these factors and assess their impact, addressing the gap in understanding non-smoking-related COPD triggers.

Material and methods

The present hospital-based prospective comparative study was conducted in the Department of Respiratory Medicine at a tertiary care hospital. Patients were selected from those admitted to the Department between January 2018 and June 2019 with a clinical diagnosis of acute exacerbation of COPD (AECOPD), based on the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2017 guidelines (10).

Inclusion criteria comprised:

  • adults aged ≥40 years,

  • a documented history of chronic respiratory symptoms (dyspnea, cough, sputum production),

  • confirmed AECOPD defined by increased dyspnea, sputum volume and/or sputum purulence, with or without systemic symptoms (e.g. fever, fatigue)

Exclusion criteria included patients with:

  • asthma-COPD overlap syndrome (ACOS),

  • asthma or other chronic lung diseases (e.g. interstitial lung disease, bronchiectasis),

  • cardiac failure as primary diagnosis,

  • those admitted for other medical/surgical conditions but diagnosed as COPD during their hospital stay

Patients were classified as smokers who had smoked at least 100 cigarettes in their lifetime and non-smokers who had never smoked or had smoked fewer than 100 cigarettes in their lifetime (11, 12).

All included patients were either previously diagnosed with COPD or diagnosed during their hospitalization for acute exacerbation. For patients diagnosed for the first time during an exacerbation, post-exacerbation spirometry was conducted at the time of discharge. Pulmonary function tests (PFTs), including pre- and post-bronchodilator forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and FEV1/FVC ratio, were performed to confirm the diagnosis and assess severity, adhering to American Thoracic Society (ATS)/European Respiratory Society (ERS) standards.

Diagnostic criteria
  • Symptoms: Chronic dyspnea, cough (with or without sputum) and sputum production.

  • Risk factors: Smoking, biomass fuel exposure, occupational hazards and a history of respiratory infections or genetic predisposition.

  • Spirometry: Post-bronchodilator FEV1/FVC < 0.70 confirms COPD, with severity classified as (1) GOLD 1 (Mild): FEV1 ≥ 80% predicted; (2) GOLD 2 (Moderate): 50% ≤ FEV1 < 80% predicted; (3) GOLD 3 (Severe): 30% ≤ FEV1 < 50% predicted; (4) GOLD 4 (Very Severe): FEV1 < 30% predicted.

  • Differential diagnosis: COPD is distinguished from asthma based on age of onset, smoking history and reversibility of airflow limitation.

  • Severity and exacerbation risk: Assessed using symptom scales (modified Medical Research Council [mMRC], COPD assessment test [CAT]) and exacerbation history to classify patients into Groups A–D.

  • Exclusion of other conditions: Asthma, bronchiectasis, interstitial lung disease and heart failure were ruled out through clinical evaluation and imaging.

This approach ensured precise COPD diagnosis, minimizing overlap with other respiratory conditions.

AECOPD was defined by the presence of any one of the following three symptoms:

  • increased cough and sputum volume,

  • increased sputum purulence,

  • Increased dyspnoea.

In addition, patients had one or more symptoms such as fever, malaise, fatigue and chest congestion.

The sample size (n) was calculated assuming the prevalence of COPD in our hospital as 12.2%. With the power of the study set at 80% and an alpha error of 5%, the calculated sample size was determined to be 70 using EPI Info StatCalc Ver. 7. [Centers for Disease Control and Prevention (CDC)]. Before the commencement of the study, ethical committee approval was obtained and informed written consent was secured from all participants. Demographic details, such as name, age, gender and residence, were documented along with anthropometric characteristics. A baseline evaluation was conducted, including clinical profile, past medical history, family history, personal history, and medical diagnosis. A thorough clinical assessment was performed, and the following variables were studied during the period of research:

  • respiratory disease history,

  • frequency of hospital admissions for COPD in the past year,

  • smoking history and its correlation with disease progression,

  • risk factors for COPD in non-smokers, such as exposure to biomass fuel, past pulmonary TB, occupation, previous medication, vaccination history and comorbidities.

Exposure history was systematically recorded using a standardized questionnaire. For smokers, tobacco exposure was quantified in pack-years. Non-smokers were assessed for alternate risk factors, including:

  • biomass fuel exposure (e.g. wood, cow dung, crop residue used for cooking in poorly ventilated households),

  • occupational exposure (e.g. dust, chemical fumes in agriculture, tailoring, labour work),

  • environmental exposures such as passive smoking and outdoor air pollution,

  • history of pulmonary infections, particularly TB.

These exposures were confirmed through patient interviews and corroborated with available medical records and occupational history.

Global Initiative for Asthma (GINA) 2017 Guidelines were incorporated for differential diagnosis in patients where overlap features between asthma and COPD were suspected. Patients with mixed phenotypes were evaluated for ACOS using GINA-recommended criteria, ensuring the exclusion of these cases from the study. The guidelines also emphasized the importance of ruling out asthma-like presentations to enhance diagnostic accuracy.

A simple measure of breathlessness, the mMRC Questionnaire, which grades breathlessness from 0 to 4, with higher scores indicating greater disability, was used for symptom assessment. Additional tools, such as the CAT and the Clinical COPD Questionnaire (CCQ), provided further insights into the symptomatic impact of COPD. The CAT is an 8-item questionnaire scoring from 0 to 40, assessing the impact of COPD on daily life, with higher scores indicating greater severity. The Clinical COPD Questionnaire (CCQ) measures symptoms, functional state and mental health, scoring each item from 0 to 6, with the total being an average score. Lower CCQ scores indicate better control, while higher scores suggest poor COPD management. Comorbidities were assessed using the Charlson Comorbidity Index (CCI), categorizing patients into no comorbidity (score 0–1), low comorbidity (score 2) and high comorbidity (score ≥3), with specific conditions (e.g. hypertension, diabetes mellitus, previous pulmonary TB) recorded from medical records and verified during clinical interviews.

Standard treatment for acute exacerbation was administered as per the GOLD Guidelines 2017, ensuring uniform management. PFT and Arterial Blood Gas (ABG) analysis were performed at the time of discharge to evaluate disease recovery. Spirometry was conducted using Geratherm Respiratory version 1.2.1 (Geratherm Respiratory GmbH), adhering to ATS/ERS guidelines. Statistical analysis of the collected data was performed using SPSS version 22.0 (IBM).

Results

The study included 70 patients diagnosed with COPD exacerbation, with a male predominance (43 males, 61.4%; 27 females, 38.6%). The highest prevalence was observed in the 61–70 years age group (25 patients, 35.7%), followed by 21 patients (30%) aged 51–60 years. The proportion of patients aged ≤50 years was 14.3%, while 14 patients (20%) were >70 years.

Demographic and occupational profile

Of the 70 patients, 36 were smokers and 34 were non-smokers. The mean age was similar between groups (non-smokers: 62.94 ± 11.02 years vs smokers: 62.50 ± 10.47 years; t = 0.17, P = 0.87). Gender distribution showed no significant difference, with 22 males (61.1%) and 14 females (38.9%) among non-smokers, and 21 males (61.8%) and 13 females (38.2%) among smokers (X2 = 0.004, P = 0.95). Table 1 shows the occupational distribution. Farmers (34 patients, 48.6%) were predominant, with 15 non-smokers (41.7%) and 19 smokers (55.9%). Housewives (19 patients, 27.1%) included 11 non-smokers (30.6%) and 8 smokers (23.5%). Labourers (14 patients, 20.0%) had 10 non-smokers (27.8%) and 4 smokers (11.8%). Tailors (3 patients, 4.3%) were all smokers. No significant association existed between occupation and smoking status (P = 0.09).

Table 1.

Association of occupation with smoker and non-smoker COPD patients.

OccupationCOPD patientsTotalP-value
Non-smoker (%)Smoker (%)
Farmer15 (41.7)19 (55.9)34 (48.6)0.09
Housewife11 (30.6)8 (23.5)19 (27.1)
Labour10 (27.8)4 (11.8)14 (20.0)
Tailor0 (0.0)3 (8.8)3 (4.3)
Total36 (100.0)34 (100.0)70 (100.0)

COPD, chronic obstructive pulmonary disease.

Symptoms and comorbidities

Breathlessness was universal (100%), followed by cough with expectoration (98.6%), fever (72.9%), chest pain (51.4%), wheezing (47.1%) and leg swelling (45.1%). Symptom distribution showed no significant differences between smokers and non-smokers (P > 0.05, Table 2). Cough with expectoration was near-universal (100% non-smokers, 97.1% smokers; P = 0.48). Comorbidity assessment using the Charlson index revealed non-smokers had a higher prevalence of low (38.9% vs 20.6%; Odds ratio: 2.66, P = 0.07) and high (11.1% vs 8.8%; Odds ratio: 1.77, P = 0.38) comorbidity scores, though not statistically significant (Table 2). Among specific comorbidities, hypertension was most common, affecting 50.0% of non-smokers and 41.2% of smokers (P = 0.45). Diabetes mellitus was observed in 27.8% of non-smokers and 20.6% of smokers (P = 0.47). Previous pulmonary TB, a notable risk factor in this population, was more prevalent in non-smokers (16.7% vs 8.8%; P = 0.32). Ischemic heart disease was reported in 13.9% of non-smokers and 8.8% of smokers (P = 0.50), while chronic kidney disease (5.6% non-smokers, 5.9% smokers; P = 0.95) and cerebrovascular disease (2.8% non-smokers, 2.9% smokers; P = 0.97) were less common. These findings suggest a trend toward higher cardiovascular and infectious comorbidities in non-smokers, potentially contributing to their increased exacerbation severity.

Table 2.

Association of symptoms and comorbidities in smoker and non-smoker COPD patients.

CharacteristicsNon-smoker (n = 36)Smoker (n = 34)TotalP-valueOdds ratio (95% C.I.
Symptoms
Breathlessness36 (100.0%)34 (100.0%)70 (100.0%)--
Cough with expectoration36 (100.0%)33 (97.1%)69 (98.6%)0.48-
Fever24 (66.7%)27 (79.4%)51 (72.9%)0.176-
Wheeze19 (52.8%)14 (41.2%)33 (47.1%)0.232-
Swelling on both legs17 (47.2%)15 (44.1%)32 (45.7%)0.492-
Chest pain15 (41.7%)21 (61.8%)36 (51.4%)0.074-
Comorbidities
Absent (score 0–1)18 (50.0%)24 (70.6%)42 (60.0%)-1
Low (score 2)14 (38.9%)7 (20.6%)21 (30.0%)0.072.66 (0.89–7.63)
High (score ≥3)4 (11.1%)3 (8.8%)7 (10.0%)0.381.77 (0.35–8.95)

COPD, chronic obstructive pulmonary disease.

Comparison of PFT parameters

PFTs were conducted to evaluate lung function in smokers and non-smokers, with results summarized in Table 3. Pre-bronchodilator measurements showed no significant differences in forced vital capacity percentage (FVC%) between non-smokers (mean: 58.64 ± 9.33) and smokers (mean: 58.26 ± 9.08; P = 0.866). Similarly, the pre-bronchodilator FEV1/FVC ratio did not differ significantly, despite a notable variability in smokers (mean: 80.56 ± 103.81) compared with non-smokers (mean: 63.79 ± 8.18; P = 0.354). Postbronchodilator assessments further confirmed these findings, with no significant differences in FEV1% (non-smokers: 42.17 ± 9.88 vs smokers: 44.91 ± 10.84; P = 0.272), FVC% (non-smokers: 62.92 ± 7.71 vs smokers: 61.32 ± 7.79; P = 0.393), or FEV1/FVC ratio (non-smokers: 64.28 ± 9.47 vs smokers: 66.76 ± 8.08; P = 0.243). These results suggest that, despite differing aetiologies, such as tobacco smoke in smokers and potential biomass fuel exposure in non-smokers, the degree of airflow limitation and lung function impairment during acute exacerbation were comparable between the two groups. The lack of significant differences may reflect the advanced disease stage in both cohorts, where severe airflow obstruction overshadows subtle variations attributable to smoking status. These findings highlight the importance of considering non-smoking-related risk factors in COPD pathogenesis, as they may lead to similar functional impairments as seen in smoking-related COPD.

Table 3.

Comparison of pre- and post-bronchodilator PFT parameters between smokers and non-smokers COPD patients.

CharacteristicsGroupNMeanSDSEMtP- value
Pre-bronchodilator
FVC% (P)Non-smoker3658.649.331.560.170.866 (NS)
Smoker3458.269.081.56
FEV1/FVC%Non-smoker3663.798.181.36-0.940.354 (NS)
Smoker3480.56103.8117.80
Post-bronchodilator
FEV1%Non-smoker3642.179.881.65-1.110.272
Smoker3444.9110.841.86
FVC%Non-smoker3662.927.711.280.860.393
Smoker3461.327.791.34
FEV1/FVC%Non-smoker3664.289.471.58-1.180.243
Smoker3466.768.081.39

COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in one second; FVC%, forced vital capacity percentage; NS: Non-Significant; PFT, pulmonary function tests.

Functional symptom assessment

Functional symptom assessment revealed notable variations. The mMRC dyspnoea score was significantly higher among smokers, indicating greater breathlessness severity (P < 0.05). Similarly, the Clinical COPD Questionnaire (CCQ) scores were significantly elevated in smokers compared with non-smokers (P < 0.05), suggesting a higher symptomatic burden. In contrast, the CAT scores did not differ significantly between the groups (Table 4).

Table 4.

Comparison of various scores between smokers and non-smokers COPD patients.

CharacteristicsGroupNMeanSDSEMtP-value
Exacerbation in the previous yearNon-smoker361.250.870.150.730.47
Smoker341.061.280.22
mMRC dyspnoea scoreNon-smoker363.280.780.13-3.210.002
Smoker343.760.430.07
CCQNon-smoker364.100.830.14-2.290.025
Smoker344.540.760.13
CAT scoreNon-smoker3631.175.360.89-1.220.227
Smoker3432.715.200.89

CAT, COPD Assessment Test; COPD, chronic obstructive pulmonary disease; mMRC, modified Medical Research Council.

GOLD staging

When GOLD staging was compared based on PFT, non-smokers showed a higher proportion of patients with severe COPD exacerbation (63.9%) compared with smokers (70.6%). However, this difference was not statistically significant (odds ratio: 1.39, 95% Confidence Interval (CI): 0.49–3.92; P = 0.60). Similarly, the frequency of exacerbations in the previous year was slightly higher in non-smokers (mean: 1.25 ± 0.87) than in smokers (mean: 1.06 ± 1.28), but this too did not reach statistical significance (P = 0.47).

Assessing exacerbation severity using multiple parameters

Exacerbation severity was assessed using multiple parameters such as GOLD staging based on spirometric classification, frequency of exacerbations in the past year, and clinical symptom scores (mMRC, CCQ and CAT). These composite measures aimed to evaluate both the physiological and symptomatic burden of disease. While non-smokers showed a trend toward more severe exacerbations, these differences were not statistically significant. This trend may reflect underlying factors such as environmental exposures, comorbid conditions like prior TB, or delayed clinical recognition, warranting further investigation in larger, multi-centre studies.

Discussion

COPD remains a significant global health concern, ranking as the third leading cause of mortality worldwide (1). While smoking has long been recognized as the principal risk factor for COPD, non-smoker COPD is an emerging entity that warrants greater attention. The proportion of non-smoker COPD patients varies significantly across studies, ranging from 9.4% to 68.6% (13). In this study, nearly half (48.6%) of COPD patients were non-smokers, which aligns with findings from Brashier et al. (14), who reported a prevalence of 68.6% among COPD patients. In India, the leading causes of COPD in non-smokers include biomass fuel exposure, as millions rely on wood, cow dung and crop residues for cooking in poorly ventilated homes (8, 9). Air pollution, both outdoor (vehicular emissions, industrial pollutants) and indoor (chulha smoke, incense burning), significantly contributes. Occupational exposure to dust, chemicals and fumes in industries like construction and agriculture also plays a key role. Additionally, respiratory infections (childhood pneumonia, TB) and poor early-life lung development further increase susceptibility to COPD in non-smokers.

The mean age of COPD patients in this study was 62.73 ± 10.7 years, similar to the findings of Crisafulli et al. (15) and Sinha et al (16). The observed male predominance (61.4%) was consistent with previous studies by Baneen and Naseem (17) and Bajpai et al. (18). COPD was traditionally more common in men due to higher smoking rates and occupational exposures. Whereas, in India, the gender gap is narrowing as women face increased risk from biomass fuel exposure, indoor air pollution and secondhand smoke. Studies suggest women may be more susceptible to COPD at lower exposure levels compared with men (17). Women already face a heightened risk of developing COPD due to prolonged exposure to biomass smoke from cooking. This risk is further exacerbated when they are also exposed to passive smoke from their husband’s smoking. However, gender distribution in COPD varies geographically due to differential exposure to risk factors such as biomass fuel, occupational hazards and environmental pollutants. Notably, a study by Sijapati et al. (19) reported a female predominance (66%), highlighting regional variations in COPD epidemiology. Demographic comparisons showed no significant differences in age or gender between smokers and non-smokers, suggesting that differences in AECOPD are driven by triggers and comorbidities rather than demographic factors.

This study found no significant difference in PFT parameters between smokers and non-smokers, which aligns with findings by Zeng et al. (7), who reported that non-smokers with COPD had less impairment in airflow limitation and gas exchange compared with smokers. In contrast, Zhang et al. (20) reported significantly lower FEV1 and FVC values in non-smokers with COPD compared with smokers, suggesting greater lung function impairment in non-smokers. Additionally, Bajpai et al. (18) found significantly higher FEV1 and FVC values in non-smokers, indicating more preserved lung function in this subgroup. Although COPD is characterized by largely irreversible airflow obstruction, smokers often demonstrate lower bronchodilator responsiveness compared to non-smokers. This is attributed to the extent of fixed airway remodelling and alveolar destruction resulting from chronic tobacco exposure. Non-smokers may have persistent impairment, often linked to biomass smoke or pollution, with slower disease progression and occasionally better reversibility in spirometry. Variations in study populations, disease severity and underlying environmental factors may contribute to these discrepancies. To address the study’s aim, smokers exhibited significantly higher mMRC dyspnoea (P = 0.002) and CCQ scores (P = 0.025), indicating greater symptom severity, likely due to tobacco-induced airway inflammation, while non-smokers showed a trend toward more severe exacerbations (Odds ratio: 1.39, P = 0.60) and higher comorbidity burdens, particularly hypertension, diabetes and TB, which may exacerbate AECOPD severity (21).

Although lung function parameters were similar, symptom burden differed significantly between the two groups. Smokers exhibited significantly higher mMRC dyspnoea and Clinical COPD Questionnaire (CCQ) scores, indicating greater symptom severity. These findings align with the study by Zhang et al. (20), which demonstrated a significant correlation between smoking exposure and higher dyspnoea scores. One plausible explanation is that chronic smoking contributes to increased airway inflammation, small airway remodelling and greater dynamic hyperinflation, leading to a higher perception of breathlessness. Additionally, smokers may delay seeking medical attention, attributing chronic cough and dyspnoea to their smoking habits.

Interestingly, the CAT scores did not differ significantly between smokers and non-smokers, suggesting that overall disease impact on quality of life may be similar. This is in line with findings by Pleasants et al. (22), who noted that CAT scores provide a broad assessment of COPD-related impairment and may not capture subtle variations in symptom perception.

The higher comorbidity burden in non-smokers, particularly hypertension, diabetes and previous TB, aligns with Mohapatra and Janmeja (21), who noted increased cardiovascular and infectious comorbidities in non-smoker COPD. These conditions, especially TB (more prevalent in non-smokers), may exacerbate AECOPD severity, as seen in the trend toward more severe exacerbations in non-smokers (Table 5). Regional factors, such as high TB prevalence in India, likely contribute to this pattern, causing lung damage that predisposes to COPD. The lack of statistical significance in comorbidity differences (Table 2) may reflect the small sample size, necessitating larger studies. Smokers’ higher mMRC and CCQ scores suggest greater airway inflammation, consistent with Zhang et al. (20). These findings emphasise the need for comprehensive comorbidity screening in COPD management, particularly for non-smokers, to optimize treatment and reduce exacerbation risk.

Table 5.

Comparison of GOLD staging in smoker and non-smoker COPD patients.

GOLD gradesNon-smoker (n = 36)Smoker (n = 34)TotalOdds ratio95% C.I.P-value
Moderate12 (33.3%)9 (26.5%)21 (30.0%)1--
Severe23 (63.9%)24 (70.6%)47 (67.1%)1.390.49–3.920.60
Very severe1 (2.8%)1 (2.9%)2 (2.9%)1.330.07–24.311.00

COPD, chronic obstructive pulmonary disease; GOLD, global initiative for chronic obstructive lung disease.

GOLD staging analysis revealed a higher prevalence of severe COPD exacerbation in non-smokers, though this difference was not statistically significant. These findings emphasize the need for further research on non-smoking-related COPD, particularly in populations with significant exposure to biomass smoke, indoor air pollution and occupational hazards. Recent evidence suggests that individuals with a history of childhood respiratory infections, long-standing asthma or recurrent exacerbations are at higher risk of developing severe COPD, regardless of smoking history (23).

The evolving recognition of non-smoker COPD necessitates a shift in diagnostic and management approaches. Non-smoking-related COPD is increasingly associated with unique phenotypic characteristics, including greater small airway involvement, heightened airway inflammation, and increased susceptibility to respiratory infections (24). Furthermore, recent studies have underscored the role of environmental pollutants, genetic predisposition and metabolic disorders in the pathogenesis of non-smoker COPD (25).

Future research should focus on identifying distinct biomarkers and therapeutic targets for this subgroup. The integration of precision medicine approaches, including transcriptomic and proteomic profiling, may aid in differentiating smoker and non-smoker COPD phenotypes (26). Additionally, large-scale multi-centre studies are warranted to validate these findings and develop targeted interventions for non-smoker COPD patients.

This study has certain limitations. It was a single-centre study with a relatively small sample size, which may affect the generalizability of the findings. Additionally, the assessment of risk factors relied on patient-reported history, which may introduce recall bias. Future studies with larger, more diverse cohorts and objective exposure assessments are needed to strengthen these conclusions.

Conclusion

This study highlights the significant burden of acute exacerbations in COPD (AECOPD) among both smokers and non-smokers, emphasizing the influence of co-morbidities and environmental factors in disease progression. Despite similar pulmonary function parameters, smokers exhibited a higher symptomatic burden, as reflected in significantly higher mMRC dyspnoea and CCQ scores. In contrast, non-smokers had a greater prevalence of severe COPD exacerbations and comorbidities, reinforcing the multifactorial nature of COPD beyond smoking. Smokers’ greater symptom severity and non-smokers’ higher comorbidity burden, particularly hypertension, diabetes and TB, underscore the need for tailored management targeting these factors.

The findings underscore the importance of recognizing non-smoking-related risk factors, such as biomass fuel exposure, recurrent respiratory infections and poor socioeconomic conditions, which can contribute significantly to COPD pathogenesis. The higher comorbidity burden in non-smokers also suggests that comprehensive patient evaluation is crucial for effective COPD management. Given that COPD exacerbations are major drivers of morbidity, mortality and healthcare costs, tailored preventive strategies, early interventions and personalized treatment approaches are essential to reduce the disease burden.

Future research should focus on identifying distinct COPD phenotypes, incorporating biomarkers and employing precision medicine approaches to differentiate and optimize treatment strategies for smoker and non-smoker COPD patients. Addressing alternative risk factors and ensuring early diagnosis in non-smokers will improve overall COPD outcomes and quality of life for affected individuals.

DOI: https://doi.org/10.2478/pneum-2025-0015 | Journal eISSN: 2247-059X | Journal ISSN: 2067-2993
Language: English
Page range: 95 - 104
Published on: Jul 23, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2025 Anil Sontakke, Preetam Dhande, Rajasi Bundale, Saood Ali, Harshal Ital, Hrishikesh Gaikwad, published by Romanian Society of Pneumology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.