A STUDY ON PULMONARY FUNCTION TESTS IN METABOLIC SYNDROME

Dr. U. Ramchander Rao; Dr. K.S. Amaravathi; T. Abhilash

Volume : VI, Issue : X, October - 2016

A STUDY ON PULMONARY FUNCTION TESTS IN METABOLIC SYNDROME

Dr. U. Ramchander Rao, Dr. K. S. Amaravathi, T. Abhilash

Abstract :

Background & Objectives In a number of recent studies, it was reported that among the changes in pulmonary function, pulmonary function, deterioration is related to hypertension, type 2 diabetes, low–density lipoprotein cholesterol, overall obesity, abdominal obesity and insulin resistance1. Among the above listed factors, hypertension, diabetes, and abdominal obesity are included as diagnostic criteria for metabolic syndrome, hence it can be inferred that identifying the relationship between metabolic syndrome and pulmonary function deterioration is meaningful. This study aimed to analyse various components of metabolic syndrome and its influence on pulmonary function tests. Materials & Methods This is a observational study, conducted on 132 patients in Osmania general hospital, Hyderabad. Inclusion criteria: Persons fitting into criteria of Metabolic syndrome based on the Asia criteria of the American Heart Association/National Heart, Lung, and Blood Institute. Exclusion criteria: Clinical history on cardiovascular disease (myocardial infarct, angina pectoris) and pulmonary disease (asthma, chronic obstructive pulmonary disease) or cancer, were excluded. Results : In this study, total number of subjects is n=132.The number of persons in metabolic syndrome group n=65, number of persons in control group n=67. In both groups majority had normal pulmonary function tests(n=26 in metabolic syndrome, n=61 in control group). In metabolic syndrome group, most common abnormality reported was mild restriction(n=26). The pattern of pulmonary function tests is mild restriction in metabolic syndrome subjects with a p < 0.0001 according to chi square test .In the overall study group, hypertension, fasting glucose, body mass index, waist circumference have significant negative correlation with both FEv1 and FVC (especially fasting blood glucose, Waist circumference, Body mass index with p < 0.0001) and triglycerides have significant negative correlation with FVC whereas total cholesterol has significant negative correlation with Fev1.Only HDL–c has strong positive correlation with FVC ( p < 0.0001).The strongest negative predictors for FVC are Body mass index, Waist circumference, Fasting blood glucose in this study and the strongest positive predictor for FVC is HDL–c ( p < 0.001) Conclusion : The findings in this study highlight the notion that FVC and FEV1 are inversely associated with the accumulation of metabolic syndrome components and also independently associated with each component of metabolic syndrome.