Predicting multi-vascular diseases in patients with coronary artery disease

Suko Adiarto, Luthfian Aby Nurachman, Raditya Dewangga, Suci Indriani, Taofan Taofan, Amir Aziz Alkatiri, Doni Firman, Anwar Santoso

Research output: Contribution to journalArticlepeer-review


Background: Because of its systemic nature, the occurrence of atherosclerosis in the coronary arteries can also indicate a risk for other vascular diseases.  However, screening program targeted for all patients with coronary artery disease (CAD) is highly ineffective and no studies have assessed the risk factors for developing multi-vascular diseases in general. This study constructed a predictive model and scoring system to enable targeted screening for multi-vascular diseases in CAD patients. Methods: This cross-sectional study includes patients with CAD, as diagnosed during coronary angiography or percutaneous coronary intervention from March 2021 to December 2021. Coronary artery stenosis (CAS) and abdominal aortic aneurysm (AAA) were diagnosed using Doppler ultrasound while peripheral artery disease (PAD) was diagnosed based on ABI score. Multivariate logistic regression was conducted to construct the predictive model and risk scores. Validation was conducted using ROC analysis and Hosmer-Lemeshow test. Results: Multivariate analysis showed that ages of >60 years (OR [95% CI] = 1.579 [1.153-2.164]), diabetes mellitus (OR = 1.412 [1.036-1.924]), cerebrovascular disease (OR = 3.656 [2.326-5.747]), and CAD3VD (OR = 1.960 [1.250-3.073]) increased the odds for multi-vascular disease. The model demonstrated good predictive capability (AUC = 0.659) and was well-calibrated (Hosmer-Lemeshow p = 0.379). Targeted screening for high-risk patients reduced the number needed to screen (NNS) from 6 in the general population to 3 and has a high specificity of 96.5%

Original languageEnglish
Article number750
Publication statusPublished - 2023


  • Abdominal Aortic Aneurysm
  • Carotid Artery Stenosis
  • clinical risk score
  • Coronary artery disease
  • Peripheral artery disease
  • predictive model
  • targeted screening


Dive into the research topics of 'Predicting multi-vascular diseases in patients with coronary artery disease'. Together they form a unique fingerprint.

Cite this