Maimoona Siddiq, Junaid Shakeel, Syed Mahmood Haider, Sana Siddiq.
Mean Lipid Profile among patients Suffering from Oral Sub-mucous Fibrosis reporting in a Tertiary Care Hospital of Karachi, Pakistan: a Descriptive Study.
Annals Punjab Med Coll Jan ;15(1):12-6.
Background: Oral Submucous Fibrosis is a potent pre-malignant condition of Oral cavity, which is prevalent in South Asian countries, due to social habit of pan, gutka, areca nut and betel quid chewing, which is mostly practiced in South-East Asia. A decreased pattern of lipid profile has been observed in literature in many precancerous conditions, this study is based on observation of lipid profile pattern among Oral submucous fibrosis patients in relation with age, gender, body mass index and duration of disease. Objective: A descriptive study to determine mean lipid profile values among oral sub-mucous fibrosis patients. Study Design: Descriptive (cross-sectional) study. Settings: Department of Oral & Maxillofacial Surgery, Abbasi Shaheed Hospital-Karachi Pakistan. Duration: 1st January 2017 till 30th June 2017, for a period of six months. Methodology: Oral Sub-mucous Fibrosis (OSMF) patients, who also met with inclusion criteria of study were selected. Lipid Profile values of TC (total cholesterol), HDL (high density lipids), LDL (low density lipids) and triglycerides were observed among OSMF patients in relation to duration of disease, their different age groups, gender and body mass index (BMI). Results: Out of 104 clinically diagnosed patients of OSMF, 34 females and 70 were males. Mean age was 38.9, most of the patients were in the age group of 20-40 years. Mean and standard deviation of TC, triglycerides, LDL and HDL was 132.19�13.29, 142.25�8.71, 101.87�17.57 and 30.43�2.56 respectively. Conclusion: Results of this study revealed that there is no significant change in pattern of lipid profile among OSMF patients in relation to their different age groups, gender and BMI, but an inverse relation does exist between lipid panel and duration of disease.
PakMediNet -Pakistan's largest Database of Pakistani Medical Journals - http://www.pakmedinet.com