P5245Cost-saving diagnosis approach by artificial intelligence tool in patients with suspected coronary artery disease. The co-operative ARTICA registry database

• Published in: European Heart Journal
• Main Authors: Mazzanti, M, Shirka, E, Gjergo, H, Pugliese, F, Goda, A
• Format: Article in Journal/Newspaper
• Language: English
• Published: Oxford University Press (OUP) 2019
• Subjects: Cardiology and Cardiovascular Medicine; artica
• Online Access: http://dx.doi.org/10.1093/eurheartj/ehz746.0217; http://academic.oup.com/eurheartj/article-pdf/40/Supplement_1/ehz746.0217/30203049/ehz746.0217.pdf

Abstract Background Although coronary tomographic angiography (CTA) has shown promise as a “gatekeeper” to invasive coronary angiography (ICA) in longitudinal cohort studies, it remains unknown whether the strategy of direct initial performance of CTA is cost-effective when compared with selected exercise treadmill testing (ETT) +/− functional cardiac imaging strategies in patients with suspected coronary artery disease (CAD). An innovative artificial intelligence (AI) Decision Support System (DSS) ESC guidelines based has been used at point of care for evaluating subjects with stable chest pain (SCP). Purpose The objective was to verify the cost-saving effect of the robotic AI DSS vs direct CTA by human standard care (SD) for diagnosing CAD in subjects presenting with SCP. Methods From October 2016 over three hospitals, 1017 subjects, 620 males, age 62±11 years, with clinically SCP being referred for CTA by SD received also a same day pre-scan AI DSS administration. All patients did not demonstrate significant CAD at CTA. CTA/ICA, or exercise treadmill test (ETT)/ stress echocardiography (SE), gated myocardial perfusion scintigraphy (gMPS) or Follow up/No tests (FNT) strategies by AI DSS were analyzed and compared to direct CTA SD. Pre-test likelihood (pt-lk) of CAD consider clinical risk factors into the model. Sensitivity and specificity of non-invasive diagnostic tests within our model were based upon a bivariate analysis of data from published multicenter trials. Costs of procedures were calculated by the sum of technical and professional components. Probabilistic sensitivity analysis was conducted to assess the impact of uncertainty in model parameters. Results The direct approach used performing direct CTA strategy by SD in all subjects costed 406.800 €. Costs of each procedure and distribution of AI DSS outputs are shown in the Table. Across the range of pt-lk of CAD, total costs of AI DSS strategy resulted 146.030€ with −65% vs SD approach. AI DSS tests distribution and costs pt-lk (pt/%) FNT (0€) ETT (90€) SE (350€) Stress gated MPS (750€) CCTA (400€) ICA (3.000€) High (29/2.8) 0 0 1 2 0 26 Int (371/36.5) 259 5 51 48 7 1 Low (612/60.7) 595 2 2 0 13 0 Total costs (€) 0 630 18,900.00 37,500.00 8,000.00 81,000.00 Conclusion These results from ARTICA registry seem to demonstrate that AI DSS is extremely cost-saving in subjects with stable chest pain across the whole range of pt-lk of CAD.