Naslov
Integration of estimated glomerular filtration rate biomarker in image-based cardiovascular disease/stroke risk calculator: a south Asian- Indian diabetes cohort with moderate chronic kidney disease

Autori
Viswanathan, Vijay ; Jamthikar, Ankush D. ; Gupta, Deep ; Puvvula, Anudeep ; Khanna, Narendra N. ; Saba, Luca ; Višković, Klaudija ; Mavrogeni, Sophie ; Turk, Monika ; Laird, John R. ; Pareek, Gyan ; Miner, Martin ; Ajuluchukwu, Jna ; Sfikakis, Petros P. ; Protogerou, Athanasios ; Kitas, George D. ; Nicolaides, Andrew ; Sharma, Aditya ; Suri, Jasjit S.

Izvornik
International Angiology (0392-9590) 39 (2020), 4; 290-306

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Atherosclerosis ; Stroke ; Cardiovascular diseases ; Risk assessment

Sažetak
BACKGROUND: Recently, a 10-year image-based integrated calculator (called AtheroEdge Composite Risk Score-AECRS1.0) was developed which combines conventional cardiovascular risk factors (CCVRF) with image phenotypes derived from carotid ultrasound (CUS). Such calculators did not include chronic kidney disease (CKD)-based biomarker called estimated glomerular filtration rate (eGFR). The novelty of this study is to design and develop an advanced integrated version called- AECRS2.0 that combines eGFR with image phenotypes to compute the composite risk score. Furthermore, AECRS2.0 was benchmarked against QRISK3 which considers eGFR for risk assessment. METHODS: The method consists of three major steps: 1) five, current CUS image phenotypes (CUSIP) measurements using AtheroEdge system (AtheroPoint, CA, USA) consisting of: average carotid intima- media thickness (cIMTave), maximum cIMT (cIMTmax), minimum cIMT (cIMTmin), variability in cIMT (cIMTV), and total plaque area (TPA) ; 2) five, 10- year CUSIP measurements by combining these current five CUSIP with 11 CCVRF (age, ethnicity, gender, body mass index, systolic blood pressure, smoking, carotid artery type, hemoglobin, low-density lipoprotein cholesterol, total cholesterol, and eGFR) ; 3) AECRS2.0 risk score computation and its comparison to QRISK3 using area-under-the-curve (AUC). RESULTS: South Asian-Indian 339 patients were retrospectively analyzed by acquiring their left/right common carotid arteries (678 CUS, mean age: 54.25±9.84 years ; 75.22% males ; 93.51% diabetic with HbA1c ≥6.5% ; and mean eGFR 73.84±20.91 mL/min/1.73m2). The proposed AECRS2.0 reported higher AUC (AUC=0.89, P<0.001) compared to QRISK3 (AUC=0.51, P<0.001) by ~74% in CKD patients. CONCLUSIONS: An integrated calculator AECRS2.0 can be used to assess the 10-year CVD/stroke risk in patients suffering from CKD. AECRS2.0 was much superior to QRISK3.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti

POVEZANOST RADA