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.
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.
Objective To analyze risk factors for prolonged stay in intensive care unit (ICU) after cardiac valvular surgery. Methods Between January 2005 and May 2005, five hundred and seven consecutive patients undergone cardiac valvular surgery were divided into two groups based on if their length of ICU stay more than 5 days (prolonged stay in ICU was defined as 5 days or more). Group Ⅰ: 75 patients required prolonged ICU stay. Group Ⅱ: 432 patients did not require prolonged ICU stay. Univariate and multivariate analysis (logistic regression) were used to identify the risk factors. Results Seventyfive patients required prolonged ICU stay. Univariate risk factors showed that age, the proportion of previous heart surgery, smoking history and repeat cardiopulmonary bypass (CPB) support, cardiothoracicratio, the CPB time and aortic crossclamping time of group Ⅰ were higher or longer than those of group Ⅱ. The heart function, left ventricular ejection fraction (LVEF), pulmonary function of group Ⅰwere worse than those of group Ⅱ(Plt;0.05, 0.01). Logistic regression identified that preoperative age≥65 years (OR=4.399), LVEF≤0.50(OR=2.788),cardiothoracic ratio≥0.68(OR=2.411), maximal voluntary ventilation observed value/predicted value %lt;71%(OR=4.872), previous heart surgery (OR=3.241) and repeat CPB support during surgery (OR=18.656) were final risk factors for prolonged ICU stay. Conclusion Prolonged ICU stay after cardiac valvular surgery can be predicted through age, LVEF, cardiothoracic ratio, maximal voluntary ventilation, previous heart surgery and repeat CPB support during surgery. The patients with these risk factors need more preoperative care and postoperative care to reduce mortality, morbidity and avoid prolonged ICU stay after cardiac valvular surgery.
ObjectiveTo analyze factors affecting the recovery of postoperative left ventricular function in patients with valvular disease combined with heart failure with reduced ejection fraction [HFrEF, left ventricular ejection fraction (LVEF)<40%].MethodsThe clinical data of 98 patients with valvular disease combined with HFrEF who underwent surgeries in our hospital from January 2011 to June 2018 were retrospectively analyzed, including 75 males and 23 females aged 9-78 (55.3±11.9) years.ResultsA total of 15 patients were dead after the operation, including 4 deaths within 3 months and 11 mid-long-term deaths after the operation. Ninety-one patients were followed up for more than 6 months (10 months to 8.6 years). The postoperative cardiac function (NYHA) of 91 patients was classⅠ-Ⅱ, the LVEF of 18 (19.8%) patients increased more than 10%, that of 47 (51.6%) patients maintained at the preoperative level, and that of 26 (28.6%) patients decreased. Postoperative LVEF was more prone to recover in HFrEF patients with sinus rhythm before operation (P=0.038), valvular disease mainly in aortic valve (P=0.026), obvious reduction of left ventricular end diastolic diameter in early postoperative period (P=0.017), and higher systolic pulmonary artery pressure (SPAP) before operation (P=0.018). The risk factors for postoperative LVEF deterioration included large left atrium before operation (P=0.014), smaller left ventricle end systolic diameter before operation (P=0.003), and fast heart rate after operation (P=0.019). ConclusionMitral valve prolapse patients with obviously increased left ventricular diameter should receive operation as soon as possible. HFrEF patients with aortic valve disease should receive operation positively. The operation efficacy is satisfactory in the HFrEF patients with high SPAP.
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.
Objective Explore the effect of remote ischemic preconditioning (RIPC) on preoperative heart rate variability in patients with heart valves. Methods From January 2022 to July 2022, screening was conducted among 118 patients based on inclusion/exclusion criteria. Fifty-eight patients were excluded, and 60 patients participated in this trial with informed consent and were randomly divided into a RIPC group (n=30) and a control group (n=30). Due to the cancellation of surgery, HRV data was missing. 7 patients in the control group were excluded, and 5 patients in the RIPC group were excluded, 23 patients in the final control group and 25 patients in the RIPC group were included in the analysis. Comparison of relevant indicators of heart rate variability (standard deviation of NN interval (SDNN), standard deviation of mean value of NN interval in every five minutes (SDANN), mean square root of difference between consecutive NN intervals (RMSSD), percentage of adjacent RR interval>50 ms (PNN50), low frequency component (LF), high frequency component (HF) and LF/HF) at 8 hours in the morning on the surgical day between two groups of patients. Results There was no statistical difference in baseline characteristics between the two groups, and there was no significant difference in heart rate variability 24 hours before intervention (P>0.05). After the intervention measures were taken, the comparison of the results of heart rate variability at 8 hours on the day of operation showed that SDNN and SDANN of patients in the RIPC group were higher than those in the control group, with statistical differences (P<0.05). Conclusion RIPC can stabilize the preoperative heart rate variability of patients undergoing cardiac valve surgery.
Abstract: Objective To evaluate the prediction validation of European system for cardiac operative risk evaluation （EuroSCORE） in prolonged intensive care unit (ICU) stay, mortality, and major postoperative complications for Chinese patients operated for acquired heart valve disease. Methods Between January 2004 and January 2006, 2 218 consecutive patients treated for acquired heart valve diseases were enrolled in Fu Wai Hospital. All these patients accepted valvular surgery. Both logistic model and additive model were applied to EuroSCORE to evaluate its ability in predicting mortality, prolonged ICU stay and major postoperative complications of patients who had undergone heart valve surgery. An receiver operating characteristic curve（ ROC) area was used to test the discrimination of the models. Calibration was assessed by HosmerLemeshow goodnessoffit statistic. Results Discriminating abilities of logistic and additive EuroSCORE algorithm were 0.710 and 0.690 respectively for mortality, 0.670 and 0.660 for prolonged ICU stay, 0.650 and 0.640 for heart failure, 0.720 and 0.710 for respiratory failure, 0.700 and 0.740 for renal failure, and 0.540 and 0.550 for reexploration for bleeding. There was significant difference between logistic and additive algorithm in predicting renal failure and heart failure (Plt;0.05). Calibration of logistic and additive algorithm in predicting mortality, prolonged ICU stay and major postoperative complications were not satisfactory. However, logistic algorithm could be used to predict postoperative respiratory failure (P=0.120). Conclusion EuroSCORE is not an accurate predictor in predicting mortality, prolonged ICU stay and major postoperative complications, but the logistic model can be used to predict postoperative respiratory failure in Chinese patients operated for acquired heart valve diseases.
Objective To summarize the outcomes and clinical features for surgical treatment of nonischemic heart valve disease(HVD) combined with coronary artery disease(CAD), so that to get better surgical result. Methods From January 2000 to June 2007, 105 patients with the mean age of 61.96±7.61 years (range 36-79 years), underwent the combined procedures.The etiology of HVD included: 59 rheumatic valve disease, 24 degenerative mitral lesion, 13 calcified aortic valve lesion, and 9 other aortic valve disease. CAD was preoperatively diagnosed by coronary arteriongraphy in 98 patients, and intraoperatively identified in 7 patients. Left ventricular ejection fraction was 50% or less in 45 patients. The total number of bypass grafts was 216 with the mean of 2.06 grafts per patient. Valve procedures included: 36 mitral valve valve replacement, 15 mitral repair,43 aortic valve replacement, 11 mitral valve and aortic valve replacement. Results There were 6 postoperative deaths with the mortality of 5.7%. The causes of death were 3 low cardiac output syndrome, 2 renal failure, and 1 heart arrest resulting in multiple organs failure. Ninety-three survivals were followed up from 1 month to 7 years, 6 patients were missed on follow-up. There were no late death. New York Heart Association class Ⅰ was observed in 25 patients, class Ⅱ53, class Ⅲ 10 and class Ⅳ 5. One patient still had existential chest pain. Conclusion There were no typical angina in majority of patients with nonischemic HVD combined with CAD, coronary arteriongraphy must be taken in patients with the age of 50 years and more, or with the risk factors for CAD.Intraoperative myocardial protection is very important because CAD further deteriorates myocardial dysfunction caused by HVD.The decreased left ventricular function is the important factor affecting the surgical results and it is hard to evaluate the underlying cause before the operation.