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Uric Acid to HDL Ratio may predict Metabolic Syndrome in Type II Diabetes Patients
In a significant stride toward personalized diabetes care, a recent study has spotlighted the potential of the uric acid to HDL ratio (UHR) as a key predictor for the onset of metabolic syndrome in individuals with type II diabetes. The study found that UHR can be used as a significant sensitive marker in predicting the development of diabetes considering the high potential of developing metabolic syndrome in diabetic patients.
The study results were published in the journal Nutrition, Metabolism & Cardiovascular Diseases.
The escalating global prevalence of diabetes mellitus has emerged as a significant focus for public health initiatives. The impact of metabolic syndrome on diabetes mellitus has garnered considerable attention in recent times. The Uric Acid to High-Density Lipoprotein (UA to HDL) ratio has recently gained prominence as a predictor for diabetes mellitus and the occurrence of metabolic syndrome in individuals with type II diabetes. Hence, researchers conducted a study to investigate the reliability of UHR to predict metabolic syndrome in diabetic patients.
The study, conducted in 2021 at the diabetes clinic of Ali-Ibn Abi-Talib Hospital in Rafsanjan City, engaged 300 patients with type II diabetes. Employing a convenient sampling method, the research delved into demographic, clinical, and laboratory parameters, unraveling a wealth of insights into the intricate relationship between UHR and metabolic syndrome.
Findings:
- A striking revelation emerged as 74.33% of the participants were found to harbor metabolic syndrome, underscoring the urgency of nuanced predictive tools for early detection and intervention.
- Further analysis delved into the differences between patients with and without metabolic syndrome. Those with the syndrome exhibited significantly higher mean UHR ratios and triglyceride levels (p=0.002 and p<0.001, respectively).
- The crux of the study lay in the identification of a UHR threshold – 8.118% – showcasing an impressive sensitivity of 70.32% and specificity of 55.08% in diagnosing the development of metabolic syndrome in type II diabetes.
- The receiver operating characteristic (ROC) analysis painted a vivid picture of UHR's potential as a moderate yet valuable predictive tool (AUC: 0.621, P=0.001, 95%CI: 0.549–0.694).
BDS, MDS
Dr.Niharika Harsha B (BDS,MDS) completed her BDS from Govt Dental College, Hyderabad and MDS from Dr.NTR University of health sciences(Now Kaloji Rao University). She has 4 years of private dental practice and worked for 2 years as Consultant Oral Radiologist at a Dental Imaging Centre in Hyderabad. She worked as Research Assistant and scientific writer in the development of Oral Anti cancer screening device with her seniors. She has a deep intriguing wish in writing highly engaging, captivating and informative medical content for a wider audience. She can be contacted at editorial@medicaldialogues.in.
Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751