Analysis of Interstitial Lung Disease in Connective Tissue Disease by High Resolution Computerised Tomography and Diffusing Capacity for Carbon Monoxide
Journal Title: International Journal of Contemporary Medical Research - Year 2018, Vol 5, Issue 5
Abstract
Introduction: Interstitial Lung disease (ILD) frequently occurs in patients with the connective tissue diseases (CTD) referred to as CTD-ILD. The purpose of this study was to correlate HRCT spectrum with spirometry and the diffusing capacity for carbon monoxide (DLCO) values in patients of CTD-ILD. Material and Methods: In this prospective study, we enrolled 36 patients with various CTD - ILD. After completing the physical examination and HRCT of those who have fulfilled the criteria, patients were subjected to pulmonary function tests including spirometry and DLCO. Results: Out of 36 patients 66.67% were females, 33.33% were males with a mean age of 44 years. Systemic sclerosis was the most common CTD (44.44%) followed by rheumatoid arthritis (33.33%), Mixed connective tissue disease (8.33%), systemic lupus erythematosus (5.56%) Polymyositis/Dermatomyositis (5.56%) and Sjogrens syndrome (2.28%). In individual HRCT pattern, Reticular pattern is the most frequent presentation (80.6%) followed by Nodular pattern (58.3%) and GGO pattern (50%). In various combinations of HRCT pattern ReticuloNodular pattern forms the most common presentation (38.9%). In 36 cases of study population, 28 presented with restriction pattern(75%) except 8 who presented with Normal FVC in spirometry. Conclusion: CTD - ILD remains innocuous at an early stage as most of the rheumatic patients have restricted mobility manifesting with subtle or nil respiratory symptoms. It is better to opt on for(on) alternate non invasive procedures like HRCT, spirometry and DLCO as CTD patients are in real respiratory compromise. DLCO may be the first and only abnormality found in early stage of ILD. DLCO when compared with HRCT is the best index of the extent of the ILD but couldn't be elicited on large scale because of the limited sample size.
Authors and Affiliations
G. Sangamithra, D. Nancy Glory
Keywords
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