Construction of a Prospective Cohort Database for the Perioperative Period of Cardiac Surgery
Construction of a Prospective Cohort Database for the Perioperative Period of Cardiac Surgery
Cardiovascular disease (CVD) is the leading cause of global morbidity and mortality, with its prevalence increasing significantly from 1990 to 2019. Establishing a comprehensive cardiac surgery database is crucial for exploring perioperative prognostic factors and improving clinical outcomes.
This muti-center, prospective observational study aims to construct a prospective cohort database for perioperative cardiac surgery. We plan to enroll adult patients who undergo cardiac surgery with cardiopulmonary bypass at the Second Affiliated Hospital of Zhejiang University and other hospitals from May 1, 2026 to December 31, 2031. Multi-dimensional perioperative data, including laboratory tests, hemodynamics, intraoperative echocardiography, and perioperative medications, will be collected and integrated, along with epidemiological data, clinical diagnosis and treatment information, multimodal data, and follow-up outcomes. An interconnected big data sharing platform will also be built.
This database will provide a valuable resource for multi-level researches such as perioperative risk assessment, individualized prevention, precise diagnosis and treatment, and therapeutic efficacy monitoring. It will also help optimize surgical and perioperative management, improve the quality of cardiac surgery, and provide evidence for the refinement of China's healthcare system, ultimately enhancing perioperative safety and rehabilitation efficiency of patients.
1. Establish a cohort of perioperative surgical patients across multiple medical centers, tracking them from enrollment through 1 year post-surgery, and build a database of data relevant to patient outcomes; 2. Investigate the impact of preoperative psychological and physical factors on short-term postoperative complications in surgical patients, develop predictive models, and conduct prospective validation; 3. Investigate the impact of preoperative psychological, physical, and social factors on long-term postoperative complications; 4. Investigate the incidence of acute and chronic postoperative pain, associated risk factors, and their impact on prognosis; 5. Investigate the optimal perioperative transfusion strategies for allogeneic blood products based on causal relationships, develop predictive models, and validate them.
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Exclusion Criteria:
zryanmin@zju.edu.cn15888210247