Objective To systematically evaluate the research quality and efficacy of prediction models for acute kidney injury (AKI) after heart valve surgery, screen key predictive factors, and provide evidence-based basis for clinical risk assessment. Methods Computer search was carried out in PubMed, Web of Science, EMBASE, Cochrane Library, Medline, China Biology Medicine Database, China National Knowledge Infrastructure, Wanfang Database, and VIP Database to collect studies on AKI prediction models after heart valve surgery published from January 2015 to July 2025. The PROBAST tool was used to evaluate the bias risk and applicability of the models, and the TRIPOD was used to assess the reporting quality. Meta-analysis was performed to integrate the effect sizes of high-frequency (≥3 times) predictive factors. Results A total of 24 studies (39 models) were included. Area under the curve (AUC) of the receiver operational characteristic curve was between 0.551 and 0.928, and the combined AUC was 0.77 (95%CI 0.72-0.82). The overall bias risk of the models was relatively high (100% of the studies had a high bias risk), only 2 studies conducted external validation, and the models in 10 studies were not validated. In terms of TRIPOD reporting quality, the overall reporting quality of 24 studies was low, with a compliance percentage (number of items) ranging from 36.36% to 77.27%. Meta-analysis showed that age (OR=1.041, P=0.006), diabetes (OR=1.64, P=0.001), hypertension (OR=2.529, P <0.001), blood transfusion (OR=1.49, P=0.001), cystatin C (OR=2.408, P=0.018), history of cardiac surgery (OR=2.585, P <0.001), atrial fibrillation (OR=1.33, P <0.001), and vascular complications (OR=1.22, P=0.008) were independent risk factors for postoperative AKI. Conclusion The clinical applicability of existing prediction models is limited, with high bias risk and low reporting quality, and the methodology needs to be optimized. Eight factors such as age and hypertension can be used as core indicators for postoperative AKI risk assessment. In the future, multicenter prospective studies should be carried out to develop more reliable prediction tools.
ObjectiveTo investigate whether there is a protecting effect of remote ischemic preconditioning (RIPC) on patients underwent cardiac valvular surgery. MethodWe retrospectively analyzed the clinical data of 72 adult patients underwent cardiac valvular surgery in our hospital from Febuary 2014 through April 2015 year. There were 26 males and 46 females with an age ranging from 23-68 years. We devided 72 patients into a RIPC group and a control group. There were 14 males and 28 females with a mean age of 48.87±12.28 years in the RIPC group. After the induction of anesthesia, the RIPC group was induced by three cycles of right upper limb ischemia and reperfusion using a blood pressure cuff. The blood pressure cuff was inflated to 200 mm Hg and we held it on for 5 minutes, deflated to 0 mm Hg and maintained for 5 minutes, which was defined as one cycle. There were 10 males and 20 females with a mean age of 47.70±8.07 years in the control group. We placed a standard blood pressure gasbag on the right upper limb for 30 minutes without inflation in the control group. We recorded the clinical data including cardiopulmonary bypass (CPB) time, the cross-clamping time of ascending aorta, preoperative ejection fraction (EF), EF after discharging, postoperative complica-tion and mortality. Blood were sampled preoperatively (T0), 30 minutes after RIPC (T1), 30 minutes aftr the cardiopul-monary bypass finished (T2), 24 hours (T3), 48 hours (T4) and 72 hours (T5) after surgery to detect the concentration of troponin T (cTnT) and creatine kinase-MB (CK-MB). We counted the person-time used dopamine and norepinephrine. ResultThere was no death in both groups. The mechanical ventilation time, the time of ICU stay, the time of hospital stay, the number of person used vasoactive agent, and the EF when discharging showed no statistical difference between the two groups. Levels of cTNT in the RIPC group were statistically lower than those in the control group at T2 and T3 (P=0.001, P=0.001). Levels of CK-MB in the RIPC group were statistically lower than those in the control group at T2, T3, and T4 (P=0.011, P=0.010, P=0.033). ConclusionRIPC may have protective effect on myocardium for patients underwent cardiac valvular surgery.
Abstract： Objective To analyze risk factors associated with postoperative respiratory failure in patients with valvular surgery. Methods Between January 2001 and November 2010, clinical data of 618 patients with 339 males and 279 fameles at age of 10-74（44.01±13.95）years,undergoing valvular operations were investigated retrospectively. We divided the patients into two groups according to the presence （74 patients）or absence（544 patients）of postoperative respiratory failure. Its risk factors were evaluated by univariate and multivariate logistic regression analysis. Results The hospital mortality rate of valvular surgery was 6.1%（38/618）.The morbidity rate of respiratory failure was 12.0%（74/618） with hospital mortality rate at 17.6%（13/74） which was significantly higher than those patients without postoperative respiratory failure at 4.6%（25/544, χ2=18.994, P=0.000）. Univariate analysis showed age＞ 65 years（P=0.005）, New York Heart Association（NYHA）classⅣ（P=0.014）, election fraction＜ 50.0%（P=0.003）, cardiopulmonary bypass time＞ 3 h（P=0.001）, aortic cross clamping time＞ 2 h（P=0.008）, concomitant operation（ valvular operation with coronary artery bypass grafting, Bentall or radiofrequency ablation maze operation（P=0.000）, reoperation（P=0.012）, postoperative complications （P=0.000）, and blood transfusion＞ 2 000 ml（P=0.000） were important risk factors for postoperative respiratory failure. Multivariate logistic regression showed that concomitant operation（P=0.003）, reoperation（P=0.010）, postoperative complications（P=0.000）, and blood transfusion＞2 000 ml（P=0.012）were significant independent predictive risk factors. Conclusion This study suggest that patients with predictive risk factors of postoperative respiratory failure need more carefully treated. The morbidity of these patients would be reduced through improving perioperative management, shortening cardiopulmonary bypass time and reducing postoperative complications.
Objective To summarize safety and effectiveness of cryomaze ablation procedure concomitant with valve surgery. Methods We retrospectively investigated the clinical data of 62 patients (24 males and 38 females) with mean age of 49.4±14.2 years who underwent cryomaze ablation procedure concomitant with valve surgery in our hospital from August 2013 through July 2015. The heart rhythm of the patients after surgery was supervised by 12-leads electrical cardiogram respectively. Results The rate of sinus rhythm restored right after surgery was 98.4%. The rate of sinus rhythm restored at the time of discharge was 93.4%. The rate of sinus rhythm restored 3 months, 6 months, 12 months, 18 months after surgery was 90.2%, 87.3%, 85.0%, 83.3% respectively. The one-year post-operation rate of sinus rhythm restored for the group of right minimal invasive thoracoscopic assisted mitral valve surgery was 90.5%. Longer duration for atrial fibrillation (>7 years) was a risk factor for the reoccurrence of atrial fibrillation 1 year after surgery (P<0.05). Conclusion Cryomaze ablation procedure concomitant with valve surgery is quite effective in treatment of rheumatic valve disease and atrial fibrillation. This approach is associated with fewer complications, comparable atrial fibrillation reoccurrence for short-term follow-up.
Objective To retrospectively review the clinical experience and early surgical results of combined cardiac valve surgery and coronary artery bypass grafting （CABG）. Methods From Jan. 2000 to Dec. 2005, combined valve surgery and CABG was performed in 81 patients. 37 patients were rheumatic heart disease with coronary stenosis, and 44 patients were coronary artery disease with valvular dysfunction. Single vessel disease was in 18 patients, two vessels disease in 9 and triple-vessel disease in 54. All the patients received sternotomy and combined valve surgery and CABG under cardiopulmonary bypass. Mitral valve repair and CABG were done in 26 patients. Valve replacement and CABG were done in 55 patients with 49 mechanical valves and 16 tissue valves. Four patients had left ventricular aneurysm resection concomitantly. The number of distal anastomosis was 3.12 5= 1.51 with 66 left internal mammary arteries bypassed to left anterior descending. Post-operative intra-aortic balloon pump was required in 4 cases for low cardiac output syndrome. Results Two patients died of low cardiac output syndrome with multiple organs failure. 79 patients had smooth recovery and discharged from hospital with improved heart function. 64 patients had completed follow-up with 5 late non cardiac related death in a mean follow-up period of 14.2 months. Conclusion Combined one stage valve surgery and CABG is effective with acceptable morbidity and mortality.
ObjectiveTo assess the accuracy of European System for Cardiac Operative Risk Evaluation (EuroSCORE) model in predicting the in-hospital mortality of Uyghur patients and Han nationality patients undergoing heart valve surgery. MethodsClinical data of 361 consecutive patients who underwent heart valve surgery at our center from September 2012 to December 2013 were collected, including 209 Uyghur patients and 152 Han nationality patients. According to the score for additive and logistic EuroSCORE models, the patients were divided into 3 subgroups including a low risk subgroup, a moderate risk subgroup, and a high risk subgroup. The actual and predicted mortality of each risk subgroup were studied and compared. Calibration of the EuroSCORE model was assessed by the test of goodness of fit, discrimination was tested by calculating the area under the receiver operating characteristic (ROC) curve. ResultsThe actual mortality was 8.03% for overall patients, 6.70% for Uyghur patients,and 9.87% for Han nationality patients. The predicted mortality by additive EuroSCORE and logistic EuroSCORE for Uyghur patients were 4.03% and 3.37%,for Han nationality patients were 4.43% and 3.77%, significantly lower than actual mortality (P<0.01). The area under the ROC curve of additive EuroSCORE and logistic EuroSCORE for overall patients were 0.606 and 0.598, for Han nationality patients were 0.574 and 0.553,and for Uyghur patients were 0.609 and 0.610. ConclusionThe additive and logistic EuroSCORE are unable to predict the in-hospital mortality accurately for Uyghur and Han nationality patients undergoing heart valve surgery. Clinical use of these model should be considered cautiously.
In recent years, wearable devices have seen a booming development, and the integration of wearable devices with clinical settings is an important direction in the development of wearable devices. The purpose of this study is to establish a prediction model for postoperative pulmonary complications (PPCs) by continuously monitoring respiratory physiological parameters of cardiac valve surgery patients during the preoperative 6-Minute Walk Test (6MWT) with a wearable device. By enrolling 53 patients with cardiac valve diseases in the Department of Cardiovascular Surgery, West China Hospital, Sichuan University, the grouping was based on the presence or absence of PPCs in the postoperative period. The 6MWT continuous respiratory physiological parameters collected by the SensEcho wearable device were analyzed, and the group differences in respiratory parameters and oxygen saturation parameters were calculated, and a prediction model was constructed. The results showed that continuous monitoring of respiratory physiological parameters in 6MWT using a wearable device had a better predictive trend for PPCs in cardiac valve surgery patients, providing a novel reference model for integrating wearable devices with the clinic.
Abstract： Objective To establish a risk prediction model and risk score for inhospital mortality in heart valve surgery patients, in order to promote its perioperative safety. Methods We collected records of 4 032 consecutive patients who underwent aortic valve replacement, mitral valve repair, mitral valve replacement, or aortic and mitral combination procedure in Changhai hospital from January 1,1998 to December 31,2008. Their average age was 45.90±13.60 years and included 1 876 (46.53%) males and 2 156 (53.57%) females. Based on the valve operated on, we divided the patients into three groups including mitral valve surgery group (n=1 910), aortic valve surgery group (n=724), and mitral plus aortic valve surgery group (n=1 398). The population was divided a 60% development sample (n=2 418) and a 40% validation sample (n=1 614). We identified potential risk factors, conducted univariate analysis and multifactor logistic regression to determine the independent risk factors and set up a risk model. The calibration and discrimination of the model were assessed by the HosmerLemeshow (H-L) test and [CM(159mm]the area under the receiver operating characteristic (ROC) curve,respectively. We finally produced a risk score according to the coefficient β and rank of variables in the logistic regression model. Results The general inhospital mortality of the whole group was 4.74% (191/4 032). The results of multifactor logistic regression analysis showed that eight variables including tricuspid valve incompetence with OR=1.33 and 95%CI 1.071 to 1.648, arotic valve stenosis with OR=1.34 and 95%CI 1.082 to 1.659, chronic lung disease with OR=2.11 and 95%CI 1.292 to 3.455, left ventricular ejection fraction with OR=1.55 and 95%CI 1.081 to 2.234, critical preoperative status with OR=2.69 and 95%CI 1.499 to 4.821, NYHA ⅢⅣ (New York Heart Association) with OR=2.75 and 95%CI 1.343 to 5641, concomitant coronary artery bypass graft surgery (CABG) with OR=3.02 and 95%CI 1.405 to 6.483, and serum creatinine just before surgery with OR=4.16 and 95%CI 1.979 to 8.766 were independently correlated with inhospital mortality. Our risk model showed good calibration and discriminative power for all the groups. P values of H-L test were all higher than 0.05 (development sample: χ2=1.615, P=0.830, validation sample: χ2=2.218, P=0.200, mitral valve surgery sample: χ2=5.175,P=0.470, aortic valve surgery sample: χ2=12.708, P=0.090, mitral plus aortic valve surgery sample: χ2=3.875, P=0.380), and the areas under the ROC curve were all larger than 0.70 (development sample: 0.757 with 95%CI 0.712 to 0.802, validation sample: 0.754 and 95%CI 0.701 to 0806; mitral valve surgery sample: 0.760 and 95%CI 0.706 to 0.813, aortic valve surgery sample: 0.803 and 95%CI 0.738 to 0.868, mitral plus aortic valve surgery sample: 0.727 and 95%CI 0.668 to 0.785). The risk score was successfully established: tricuspid valve regurgitation (mild:1 point, moderate: 2 points, severe:3 points), arotic valve stenosis (mild: 1 point, moderate: 2 points, severe: 3 points), chronic lung disease (3 points), left ventricular ejection fraction (40% to 50%: 2 points, 30% to 40%: 4 points, ＜30%: 6 points), critical preoperative status (3 points), NYHA IIIIV (4 points), concomitant CABG (4 points), and serum creatinine (＞110 μmol/L: 5 points).Conclusion Eight risk factors including tricuspid valve regurgitation are independent risk factors associated with inhospital mortality of heart valve surgery patients in China. The established risk model and risk score have good calibration and discrimination in predicting inhospital mortality of heart valve surgery patients.