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Scholars Academic Journal of Biosciences | Volume-7 | Issue-05
Association of Oxidative Stress and Dyslipidemia with Complexity of Knee Osteoarthritis
Dr. Rahul Saxena, Dr. Jyoti Batra, Dr. Gladys Rai, Dr. Saurabh Srivastava, Dr. Rajni Ranjan
Published: May 15, 2019 |
269
189
DOI: 10.36347/sajb.2019.v07i05.002
Pages: 228–233
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Abstract
Background: The spectrum of abnormalities in knee osteoarthritis (OA) ranges from pain and inflammation in joints to physical disability, identified as disease process. It is conceivable that occurrence of dyslipidemia and oxidative stress enhances the risk of cardiovascular disease (CVD) in knee OA patients. Aim: The present study was indented to estimate the serum lipid profile and marker of oxidative stress in knee OA patients of different KL grade and to determine their role in predicting CVD risk with disease severity. Methodology: In the present study, serum lipid profile, malondialdehyde and uric acid levels were measured in 180 knee OA patients (40-65 years) by using standard methods. Knee OA patients were categorized into three groups (n=60 in each group; on the basis of KL grading scale) and statistically compared it with that of 60 healthy controls by using student’s t-test. Result: Serum total cholesterol, triglycerides, LDL-cholesterol VLDL-cholesterol, uric acid and MDA levels were significantly high (p<0.001) in Group II and Group III subjects as compared to healthy controls. However, these levels were altered insignificantly (p<0.1) in Group I subjects. Conversely, HDL-cholesterol levels were found to be significantly low (P<0.001) in Group II and Group III as compared to healthy controls.¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬ Conclusion: Result of this study imply that the abnormal lipid profile along with enhanced oxidative stress and hyperuricemia are more efficient marker in prediction of CVD risk with advancing of knee OA than merely conventional lipid profile parameters. Thus, regular monitoring of these markers along with adoption of preventive strategies can reduce the CVD mortality in knee OA population.