Key result
Automated carotid total plaque area was inversely correlated with estimated glomerular filtration rate, with correlation coefficients of -0.25 in males and -0.35 in females (P<0.001).
Why the study?
The study evaluated the association between automatically measured carotid total plaque area and estimated glomerular filtration rate in patients with CKD, diabetes, or hypertension.
Is automatically measured carotid total plaque area associated with estimated glomerular filtration rate in South Asian Indian patients with diabetes, CKD, or hypertension?
Observational (n=339)
Is automatically measured carotid total plaque area associated with estimated glomerular filtration rate in South Asian Indian patients with diabetes, CKD, or hypertension?
Automated carotid total plaque area is significantly inversely correlated with eGFR, suggesting it may serve as a reliable imaging biomarker for subclinical atherosclerosis in patients with CKD and diabetes.
Suggests shared cardiorenal vascular pathology; leaves open whether plaque measurement aids CKD or CVD risk prediction.
We evaluated the association between automatically measured carotid total plaque area (TPA) and the estimated glomerular filtration rate (eGFR), a biomarker of chronic kidney disease (CKD). Automated average carotid intima–media thickness (cIMTave) and TPA measurements in carotid ultrasound (CUS) were performed using AtheroEdge (AtheroPoint). Pearson correlation coefficient (CC) was then computed between the TPA and eGFR for (1) males versus females, (2) diabetic versus nondiabetic patients, and (3) between the left and right carotid artery. Overall, 339 South Asian Indian patients with either type 2 diabetes mellitus (T2DM) or CKD, or hypertension (stage 1 or stage 2) were retrospectively analyzed by acquiring cIMTave and TPA measurements of their left and right common carotid arteries (CCA; total CUS: 678, mean age: 54.2 ± 9.8 years; 75.2% males; 93.5% with T2DM). The CC between TPA and eGFR for different scenarios were (1) for males and females −0.25 ( P < .001) and −0.35 ( P < .001), respectively; (2) for T2DM and non-T2DM −0.26 ( P < .001) and −0.49 ( P = .02), respectively, and (3) for left and right CCA −0.25 ( P < .001) and −0.23 ( P < .001), respectively. Automated TPA is an equally reliable biomarker compared with cIMTave for patients with CKD (with or without T2DM) with subclinical atherosclerosis.
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Puvvula et al. (2020) conducted an observational in Type 2 diabetes mellitus, chronic kidney disease, or hypertension (n=339). Carotid total plaque area (TPA) was evaluated on Correlation between carotid total plaque area (TPA) and estimated glomerular filtration rate (eGFR) (CC -0.25 (males) and -0.35 (females), p=<.001). Automated carotid total plaque area was inversely correlated with estimated glomerular filtration rate, with correlation coefficients of -0.25 in males and -0.35 in females (P<0.001).
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