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ASCVD risk scores may independently predict CKD in patients without diabetes or hypertension: Study

ASCVD risk scores may independently predict CKD in patients without diabetes or hypertension suggests a new study published in the BMC Nephrology.
The relationship between atherosclerosis and renal function is well established. Atherosclerotic cardiovascular disease (ASCVD) risk scores reflect atherosclerotic burden, which changes over time. We investigated the association between ASCVD risk trajectories and incident chronic kidney disease (CKD) using data from a large community-based Korean cohort with up to 16 years of follow-up. They analyzed data from 5032 participants without CKD from the baseline survey of the Korean Genome and Epidemiology Study Ansan-Ansung cohort. Participants were categorized into stable or increasing ASCVD risk groups based on the revised ASCVD risk pooled cohort equation over a median period of exposure of 5.8 years. Incident CKD was defined as two consecutive events of an estimated glomerular filtration rate < 60 mL/min/1.73 m2. Results: During a median 9.9 years of event accrual period, 449 (8.92%) new-onset CKD cases were identified. Multiple Cox proportional regression analyses showed that the hazard ratio (95% confidence interval) for incident CKD in the increasing group, compared to the stable group, was 2.13 (1.74–2.62) in the unadjusted model and 1.35 (1.02–1.78) in the fully-adjusted model. Significant relationships were maintained in subgroups of individuals in their 50s, without diabetes mellitus or hypertension. The prevalence of proteinuria was consistently higher in the increasing group than that in the stable group. An increasing trend in ASCVD risk scores independently predicted adverse renal outcomes in patients without diabetes mellitus or hypertension. Continuous monitoring of ASCVD risk is not only important for predicting cardiovascular disease but also for predicting CKD.
Reference:
Lee, H.S., Lim, H.I., Moon, T.J. et al. Trajectories of atherosclerotic cardiovascular disease risk scores as a predictor for incident chronic kidney disease. BMC Nephrol 25, 141 (2024). https://doi.org/10.1186/s12882-024-03583-1
Keywords:
ASCVD, risk, scores, independently, predict, CKD, patients, diabetes, hypertension, BMC Nephrology, Lee, H.S., Lim, H.I., Moon, T.J.
Dr Kartikeya Kohli, Senior Consultant in Internal Medicine and specialist in Diabetes,Obesity and kidney diseases has done his DNB (Medicine), MRCP (UK). He has also obtained ECFMG Certification from USA in 2011. Also he has done his super-specialist training in Nephrology at IP Apollo Hospital. Dr Kohli is currently practicing as Consultant Internal Medicine at Sitaram Bhartia Institute of Science and Research and Apollo Clinic in East of Kailash. In the past, he has worked with several renowned hospitals in Delhi, including Apollo Hospital, Sir Ganga Ram Hospital & Fortis Vasant kunj. His additional academic qualifications include a PG Diploma in Clinical Endocrinology & Diabetes, Advanced Diabetes Care & Comorbidities, and Advanced Cardiology & ECG from the Royal College of Physicians. Dr Kohli has made significant contributions to medical academics and professional education. He has independently organised more than 100 Continuing Medical Education (CME) programmes and authored over 200 medical articles for various medical bulletins and healthcare portals, including Medical Dialogues.
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

