Key result
SMART trial evaluates whether an AI dialogue system improves risk factor control after CABG.
Why the study?
Does an AI-based dialogue system improve cardiovascular risk factor control rates in post-CABG patients with uncontrolled hypertension, diabetes, or dyslipidemia?
RCT (n=536)
Open-label
1:1
Yes
Does an AI-based dialogue system improve cardiovascular risk factor control rates in post-CABG patients with uncontrolled hypertension, diabetes, or dyslipidemia?
Answers are grounded in this paper and cite their sources.
This study protocol outlines a randomized controlled trial to evaluate whether an AI-assisted dialogue system can improve the control of cardiovascular risk factors in patients following coronary artery bypass grafting.
INTRODUCTION: Cardiovascular risk factor management (ie, hypertension, dyslipidaemia and diabetes) in post-coronary artery bypass grafting (CABG) patients is suboptimal, with a high prevalence and low control rate due to various barriers, including a lack of self-management awareness and inadequate healthcare resources. Artificial intelligence (AI) interventions are promising for improving lifestyle management and secondary prevention; however, their effectiveness in post-CABG patients remains unclear. We aimed to describe the protocol of the artificial intelligence dialogue system-assisted comprehensive management of secondary prevention among post-coronary artery bypass graft patients (SMART) assessing the efficacy and safety of an AI-based dialogue system, namely 'Smart Family Doctor', on blood pressure, lipids and glucose control. METHODS AND ANALYSIS: The SMART study is an open-label, parallel-group, randomised controlled trial. 536 post-CABG patients with uncontrolled hypertension, diabetes or dyslipidaemia are 1:1 randomly assigned to either the health manager or the intervention group with the implementation of the 'Smart Family Doctor' and followed up for 6 months postoperatively. The 'Smart Family Doctor' runs on the WeChat service platform, which includes an AI-based dialogue system of individual intelligent questions and answers, physiological indicators monitoring, medication reminders and automated message sending. Data on physical examinations, biological samples and self-management behaviour will be collected at baseline, 3 and 6 months after randomisation. The primary outcome was the change from baseline to 6-month follow-up in cardiovascular risk factors (hypertension, dyslipidaemia and diabetes) control rates. For the primary analysis, we will use generalised mixed-effects models to compare the control rate at the 6-month follow-up between the intervention and control groups, accounting for study sites as random effects. ETHICS AND DISSEMINATION: The study was registered at http://www. CLINICALTRIALS: gov (NCT06615609). The central ethics committee of Fuwai Hospital approved the SMART trial (2024-2410). All collaborating sites obtained local approval or accepted central ethics approval. The findings of this study will be disseminated through peer-reviewed publications, presentations at national and international conferences, and potentially public engagement initiatives. TRIAL REGISTRATION NUMBER: NCT06615609.
No takes yet. Share an insight, caveat, or question.
Lei et al. (2025) conducted an RCT in Post-coronary artery bypass grafting with uncontrolled hypertension, diabetes or dyslipidaemia (n=536). AI-based dialogue system ('Smart Family Doctor') vs. Health manager was evaluated on Change from baseline to 6-month follow-up in cardiovascular risk factors (hypertension, dyslipidaemia and diabetes) control rates. The SMART trial is a protocol for an open-label randomized controlled trial evaluating whether an AI-based dialogue system improves cardiovascular risk factor control in 536 post-CABG patients.
Synapse has enriched 10 related papers. Consider them for comparative context: