| Literature DB >> 31463258 |
Jyoti Bajpai1, Surya Kant1, Darshan K Bajaj1, Akshyaya Pradhan2, Kanchan Srivastava1, Akhilesh K Pandey3.
Abstract
INTRODUCTION: Cigarette smoking is the most predominant risk factor for development of chronic obstructive pulmonary disease (COPD). However, a considerable amount of patients do develop COPD without exposure to cigarette smoking. We aimed to analyze the incidence, demographic and clinical profile of nonsmoker COPD subjects at a tertiary care center.Entities:
Keywords: Biomass fuel exposure; chronic obstructive pulmonary disease; nonsmoker; smoker; spirometry
Year: 2019 PMID: 31463258 PMCID: PMC6691458 DOI: 10.4103/jfmpc.jfmpc_347_19
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Comparison of Age distribution between Study Groups
| Smoker ( | Nonsmoker ( | ||
|---|---|---|---|
| <50 | 31 (14.35) | 50 (34.72) | <0.00001* |
| 51-60 | 80 (37.04) | 58 (40.28) | |
| 61-70 | 84 (38.89) | 29 (20.14) | |
| >71 | 21 (9.72) | 7 (4.86) | |
| Mean±SD | 59.29±10.28 | 53.90±8.77 | 0.0001 |
*The Chi square statistic is 28.4729 the P=0.0001. The result is significant at P<0.005
Figure 1Distribution of age among smoker versus nonsmoker with COPD
Figure 2Gender distribution of the smoker and nonsmoker. The Chi-square statistic is 62.1032. The P value is < 0.00001
Comparison of predominant Symptoms between smoker and non Smoker with COPD
| Symptoms | Smoker ( | Non smoker ( | |
|---|---|---|---|
| Cough | 30 (14) | 75 (52) | 0.0001 |
| Breathlessness | 116 (54) | 44 (31) | |
| Pedal edema | 30 (14) | 10 (7) | |
| Fever | 20 (9) | 10 (7) | |
| Chest tightness | 20 (9) | 5 (3) |
*The Chi-square statistic is 62.1032
Comparison of Spirometry indices between smoker and non smoker with COPD
| Spirometry indices | Smoker COPD ( | Non Smoker COPD ( | |
|---|---|---|---|
| FEV1 (L) | 1.64±0.533 | 1.79±0.642 | 0.0165 |
| FVC (L) | 2.12±0.422 | 2.90±0.764 | 0.0001 |
| FEV1/FVC | 61.8±5.7 | 68.8±3.7 | 0.0001 |
Distribution of GOLD class among the smoker and non-smoker COPD
| GOLD class | Smoker COPD ( | % | Non Smoker COPD ( | % | |
|---|---|---|---|---|---|
| I | 22 | 10.19 | 14 | 9.72 | <0.00001 |
| II | 24 | 11.11 | 82 | 56.94 | |
| III | 94 | 43.52 | 33 | 22.92 | |
| IV | 76 | 35.19 | 15 | 10.42 | |
| 216 | 100 | 144 | 100 |
The Chi-square statistic is 93.0239. The P<0.00001
Figure 3Distribution of GOLD class among the smoker and nonsmoker patients with COPD
Distribution of risk factors in study population
| Risk Factors | No of Smoker COPD ( | % | No of Non Smoker COPD ( | % | Chi square | |
|---|---|---|---|---|---|---|
| Exposure to biomass smoke | 25 | 11.57 | 98 | 68.06 | 122.54 | <0.00001 |
| Exposure to outdoor air pollution | 75 | 34.72 | 21 | 14.58 | 17.92 | 0.000023 |
| Occupational exposure (factory worker) | 20 | 9.26 | 10 | 6.94 | 0.61 | 0.436275 |
| Treated pulmonary tuberculosis | 45 | 20.83 | 40 | 27.78 | 2.31 | 0.128531 |
| Long standing asthma >1 years | 15 | 6.94 | 54 | 37.50 | 52.07 | <0.00001 |
| Lowerrespiratory tractinfection during childhood | 10 | 4.63 | 47 | 32.64 | 50.86 | <0.00001 |