1.Clinical application progress of patient-reported outcomes in postoperative cardiac surgery patients
Zhongyu JIAO ; Yicheng LI ; Runchen SUN ; Shen LIN ; Zhe ZHENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(09):1501-1507
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 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 identifies the limitations of the existing tools. Finally, it explores future research directions for PROMs in cardiac surgery patients.
2.The accuracy of various models in predicting coronary artery disease in the world: A systematic review
Fangzhou LI ; Xiaoting SU ; Runchen SUN ; Shen LIN ; Zhe ZHENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2021;28(03):288-298
Objective To systematically review the models for predicting coronary artery disease (CAD) and demonstrate their predictive efficacy. Methods PubMed, 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. Results A 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. Conclusion Most models have modest discriminative ability. The predictive efficacy of traditional models varies greatly among different populations.
3.Reflections and understanding of the extracorporeal organ support in critically illpatients with COVID-19
Chun ZHANG ; Xiang SI ; Ting LIN ; Na LI ; Shuo ZHAO ; Sinan LIU ; Runchen MIAO ; Jingyao ZHANG ; Zheng WANG ; Chang LIU
Journal of Xi'an Jiaotong University(Medical Sciences) 2021;42(1):99-102,127
SARS-CoV-2 can cause multiple organ injuries in some susceptible people in a short time, which seriously threatens the health and safety of people, and intensive care and multiple extracorporeal organ support are important means of treatment. Although many experts’ consensus and clinical guidelines have been published, a series of clinical problemsstill exist during the treatment procedure, and no consensushas not been reached until now. Therefore,in this paper wemake some reflections and explorations to provide experience and help for clinicians.

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