Objective To construct a risk prediction score model for serious adverse event (SAE) after cardiac catheterization in patients with adult congenital heart disease (ACHD) and pulmonary hypertension (PH) and verify its predictive effect. Methods The patients with PH who underwent cardiac catheterization in Wuhan Asian Heart Hospital Affiliated to Wuhan University of Science and Technology from January 2018 to January 2022 were retrospectively collected. The patients were randomly divided into a model group and a validation group according to the order of admission. The model group was divided into a SAE group and a non-SAE group according to whether SAE occurred after the catheterization. The data of the two groups were compared, and the risk prediction score model was established according to the results of multivariate logistic regression analysis. The discrimination and calibration of the model were evaluated using the area under the receiver operating characteristic (ROC) curve and the Hosmer-Lemeshow test, respectively. Results A total of 758 patients were enrolled, including 240 (31.7%) males and 518 (68.3%) females, with a mean age of 43.1 (18.0-81.0) years. There were 530 patients in the model group (47 patients in the SAE group and 483 patients in the non-SAE group) and 228 patients in the validation group. Univariate analysis showed statistical differences in age, smoking history, valvular disease history, heart failure history, N-terminal pro-B-type natriuretic peptide, and other factors between the SAE and non-SAE groups (P<0.05). Multivariate analysis showed that age≥50 years, history of heart failure, moderate to severe congenital heart disease, moderate to severe PH, cardiac catheterization and treatment, surgical general anesthesia, and N-terminal pro-B-type natriuretic peptide≥126.65 pg/mL were risk factors for SAE after cardiac catheterization for ACHD-PH patients (P<0.05). The risk prediction score model had a total score of 0-139 points and patients who had a score>50 points were high-risk patients. Model validation results showed an area under the ROC curve of 0.937 (95%CI 0.897-0.976). Hosmer-Lemeshow goodness-of-fit test: χ2=3.847, P=0.797. Conclusion Age≥50 years, history of heart failure, moderate to severe congenital heart disease, moderate to severe PH, cardiac catheterization and treatment, general anesthesia for surgery, and N-terminal pro-B-type natriuretic peptide≥126.65 pg/mL were risk factors for SAE after cardiac catheterization for ACHD-PH patients. The risk prediction model based on these factors has a high predictive value and can be applied to the risk assessment of SAE after interventional therapy in ACHD-PH patients to help clinicians perform early intervention.
ObjectiveTo investigate the predictive value of a new nutritional index, triglycerides-total cholesterol-body mass index (TCBI), for prolonged postoperative hospital stay in patients undergoing coronary artery bypass grafting surgery (CABG). MethodsA retrospective analysis was conducted on the clinical data of CABG patients admitted to Wuhan Asian Heart Hospital, Wuhan University of Science and Technology from January 2022 to March 2024. Based on the postoperative hospital stay duration of CABG patients, they were divided into two groups: normal hospital stay group (≤14 days) and prolonged hospital stay group (>14 days). Univariate and multivariate logistic regression analyses were used to identify independent factors associated with prolonged postoperative hospital stay in CABG patients. The receiver operating characteristic (ROC) curve was employed to evaluate the predictive value of TCBI for prolonged postoperative hospital stay. ResultsA total of 460 patients were included, with 289 males (62.8%) and 171 females (37.2%), with an average age of 67 years (range 35-83 years). The TCBI level in the prolonged hospital stay group was significantly lower than that in the normal hospital stay group [1161.71 (825.36, 1511.78) vs. 1777.60 (1354.53, 2448.60), P<0.001]. Multivariate logistic regression analysis revealed that drinking history (OR=2.222, P=0.022), low absolute lymphocyte count (OR=0.169, P<0.001), low serum albumin (OR=0.624, P<0.001), and low TCBI (OR=0.816, P<0.001) were independent risk factors for prolonged postoperative hospital stay in CABG patients. ROC curve results showed that the area under the curve for TCBI to predict prolonged hospital stay was 0.808, with a sensitivity of 72.8% and specificity of 70.9% at a cutoff value of 1446.11. ConclusionTCBI is an effective predictive indicator for prolonged postoperative hospital stay in CABG patients, and the risk of prolonged postoperative hospital stay is higher in CABG patients with TCBI ≤1446.11.