ObjectiveTo systematically review the models for predicting coronary artery disease (CAD) and demonstrate their predictive efficacy. MethodsPubMed, EMbase and China National Knowledge Internet were searched comprehensively by computer. We included studies which were designed to develop and validate predictive models of CAD. The studies published from inception to September 30, 2020 were searched. Two reviewers independently evaluated the studies according to the inclusion and exclusion criteria and extracted the baseline characteristics and metrics of model performance.ResultsA total of 30 studies were identified, and 19 diagnostic predictive models were for CAD. Seventeen models had external validation group with area under curve (AUC)>0.7. The AUC for the external validation of the traditional models, including Diamond-Forrester model, updated Diamond-Forrester model, Duke Clinical Score, CAD consortium clinical score, ranged from 0.49 to 0.87.ConclusionMost models have modest discriminative ability. The predictive efficacy of traditional models varies greatly among different populations.
Cardiac surgery is associated with high risks, significant trauma, and long recovery periods. With advances in cardiac surgery techniques, the mortality rate and incidence of complications have been steadily decreasing. Patient-reported outcomes (PROs) have gradually become an important area of research in postoperative recovery of cardiac surgery. The use of patient-reported outcome measures (PROMs) in this field helps to reflect patients' physiological, psychological, and social functioning during recovery, and provides scientific evidence for clinical interventions, which may further improve prognosis and enhance patient recovery experience. This paper reviews the dimensions of PROMs in the field of cardiac surgery recovery, the current status of existing PROMs scales, and the progress of their application, while also identifying the limitations of the existing tools. Finally, it explores future research directions for PROMs in cardiac surgery patients.