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title:Correlation Study of Vascular Cell Adhesion Molecule-1 and Remnant Lipoprotein Cholesterol with Diabetes Retinopathy

Author:Aqdas Mumtaz, Ranjan Bhattnagar, Saurabh Kumar Mishra, Pankaj Kumar Kannauje, Nilesh Kumar, Ravi Tandon

Keywords:Vascular Cell Adhesion Molecule (VCAM), Remnant Lipoprotein Cholesterol (RLP-C), Diabetic Retinopathy

Type:Original Article

Abstract:"Background: The aim was to look into the role of vascular cell adhesion molecule-1 (VCAM-1) and remnant lipoprotein cholesterol (RLP-C) in patients of type 2 diabetes with retinopathy and its comparisons with the healthy non-diabetic controls. Methods: 34 normotensive newly diagnosed Type 2 diabetic patients with retinopathy and 15 healthy normotensive non-diabetic age and sex match controls. Cases and controls were taken from 1st September 2016 to 31st June 2018. All cases undergo thorough routine investigations. The obtained information regarding the levels of fasting blood sugar (FBS), post prandial blood sugar (PPBS), Glycosylated Hemoglobin level (Hb1Ac), Lipid Profile, 24 hours urinary protein, VCAM-1 Levels, Remnant lipoprotein levels were analyzed, the statistical analysis was performed using SPSS for windows version 16.0 software. For comparing two group of mean Students‘t’ test and for paired samples Paired ‘t’ test was used. The p value <0.05 was considered as statistically significant. Results: In our study majority of the patients were in age between 51 and 60 years. Male outnumbered females with ratio of 1.8:1. The mean level of FBS, PPBS, HbA1c, 24 hours urinary protein, cholesterol, triglyceride, VLDL, LDL and remnant lipoprotein cholesterol were significantly higher in patients than in controls, in the meantime the mean value of VCAM-1 and HDL were significantly lower in patient than the control. Conclusion: VCAM-1 is not positively correlated with diabetic retinopathy. While RLP-C positively correlated with diabetic retinopathy as compared to healthy control, but its usefulness as marker for diabetic retinopathy, needs further studies with large sample size. "

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