Assessment of Spirometry in Patients with Chronic Obstructive Pulmonary Disease and Its Correlation with High-Resolution Computerized Tomographic Scan Findings
Life Sciences-Corneal Thickness in Diabetic Retinopathy
DOI:
https://doi.org/10.22376/ijpbs/lpr.2022.12.6.SP25.L6-12Keywords:
COPD, Spirometry, CT Scan, Chronic Obstructive, CorrelationAbstract
Chronic Obstructive Pulmonary Disease (COPD) is a chronic inflammatory lung disease characterized by persistent airway inflammation. Spirometry is considered a gold standard for diagnosing COPD severity, high Resolution CT is needed for the analysis of various phenotypes of COPD and to quantify emphysema. Therefore, we conducted a study for assessment of the clinical severity of COPD using spirometry and correlating it with the High-Resolution CT finding. The present study subjects were new and previously diagnosed COPD patients who were fulfilling the inclusion criteria were enrolled in the study. The total study population is 45 patients. All the Patients who are enrolled in the study were subjected to pulmonary function test assessment and they are subjected to High Resolution Computed Tomography and the severity is correlated. Among 45 patients enrolled in the study, the majority of the patients were in the age group of more than 61 years (71.1%).13.3% of patients had mild COPD, 51.1 % moderate COPD, 26.7% severe and 8.8% very severe COPD patients with mean post-bronchodilator FEV1 (57.17) based on GOLD guidelines. In our study 44.4 % are smokers, 20 %are Ex-smokers and 35.6% are non-smokers. Out of the non-smokers, 10 were female and 6 were male patients (37.5%) and Smoking status is statistically significant in our study with a P value of 0.023. On correlating the High Resolution CT finding with the Spirometry, 35 patients had bronchial wall thickening, on comparing it with the COPD GOLD staging mild (33%), moderate (69%), severe (92%, very severe (100%). The p-value is 0.025. Emphysema was seen in 83%(n=5/6) of mild, 91% of moderate 75% of severe, and 100% of very severe patients and it correlated well with Spirometry and the p-value is 0.005, Mean lung density decreased with a decrease in Post FEV1%. The severity of emphysema and Bronchial wall thickening correlated well with the High-Resolution CT finding and they showed a positive correlation with Post FEV1.
References
Rajkumar P, Pattabi K, Vadivoo S, Bhome A, Brashier B, Bhattacharya P, et al. A cross-sectional study on prevalence of chronic obstructive pulmonary disease (COPD) in India: rationale and methods. BMJ Open. 2017 May;7(5):e015211. doi: 10.1136/bmjopen-2016-015211, PMID 28554925.
Indian Council of Medical Research, Public Health Foundation of India, University of Washington, Institute for Health Metrics and Evaluation. India: health of the nation’s states: the India state-level disease burden initiative: disease burden trends in the states of India, 1990 to 2016; 2017.
Jindal SK, Aggarwal AN, Gupta D, Agarwal R, Kumar R, Kaur T, et al. Indian Study on Epidemiology of Asthma, Respiratory Symptoms and Chronic Bronchitis in adults (INSEARCH). Int J Tuberc Lung Dis. 2012 Sep 1;16(9):1270-7. doi: 10.5588/ijtld.12.0005, PMID 22871327.
Shrestha R, Pant A, Shakya Shrestha S, Shrestha B, Gurung RB, Karmacharya BM. A cross-sectional study of medication adherence pattern and factors affecting the adherence in chronic obstructive pulmonary disease. Kathmandu Univ Med J (KUMJ). 2015 Oct 20;13(49):64-70. doi: 10.3126/kumj.v13i1.13756, PMID 26620752.
Laniado-Laborín R. Smoking and chronic obstructive pulmonary disease (COPD).
Kamal R, Srivastava AK, Kesavachandran CN. Meta-analysis approach to study the prevalence of chronic obstructive pulmonary disease among current, former and non-smokers. Toxicol Rep. 2015;2:1064-74. doi: 10.1016/j.toxrep.2015.07.013, PMID 28962448.
Salvi SS, Brashier BB, Londhe J, Pyasi K, Vincent V, Kajale SS et al. Phenotypic comparison between smoking and non-smoking chronic obstructive pulmonary disease. Respir Res. 2020;21(1):50. doi: 10.1186/s12931-020-1310-9, PMID 32050955.
Shah DM, Kshatriya RM, Paliwal R. Comparison of demographic, clinical, spirometry, and radiological parameters between smoking and non-smoking COPD patients in rural Gujarat, India. J Fam Med Prim Care. Sep 2021;10(9):3343-7. doi: 10.4103/jfmpc.jfmpc_87_21, PMID 34760755.
Rodrigues Sousa S, Nunes Caldeira J, Rodrigues C. COPD phenotypes by computed tomography and ventilatory response to exercise. Pulmonology. 2022 Feb 1;2200008-3:S2531-0437. doi: 10.1016/j.pulmoe.2022.01.002, PMID 35120868.
Yang R, Zhang Q, Ren Z, Li H, Ma Q. Different airway inflammatory phenotypes correlate with specific fungal and bacterial microbiota in asthma and chronic obstructive pulmonary disease. J Immunol Res. 2022;2022:Article ID 2177884. doi: 10.1155/2022/2177884, PMID 35310604.
Shah U, Tk J, Nair G, Mirchandani L, Iyer A, Upper A. Correlation of COPD Phenotypes According to HRCT Findings and as Per Severity of Illness. Chest. 2014 Oct;146(4):52A.
Mets OM, Schmidt M, Buckens CF, Gondrie MJ, Isgum I, Oudkerk M, et al. Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping, and bronchial wall thickening. Respir Res. 2013;14(1):59. doi: 10.1186/1465-9921-14-59, PMID 23711184.
Wang Z, Gu S, Leader JK, Kundu S, Tedrow JR, Sciurba FC, et al. Optimal threshold in CT quantification of emphysema. Eur Radiol. 2013 Apr;23(4):975-84. doi: 10.1007/s00330-012-2683-z, PMID 23111815.
Müller NL, Coxson H. Chronic obstructive pulmonary disease * 4: Imaging the lungs in patients with chronic obstructive pulmonary disease. Thorax. 2002 Nov 1;57(11):982-5. doi: 10.1136/thorax.57.11.982, PMID 12403883.
Lee YK, Oh YM, Lee JH, Kim EK, Lee JH, Kim N et al. Quantitative assessment of emphysema, air trapping, and airway thickening on computed tomography. Lung. 2008 Jun;186(3):157-65. doi: 10.1007/s00408-008-9071-0, PMID 18351420.
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