Objective To analyze and explore the risk factors of secondary tricuspid regurgitation (TR) after left-sided valve surgery (left cardiac valve replacement or valvuloplasty) using meta-analysis, so as to provide evidence for clinical diagnosis and treatment of secondary TR. Methods We electronically searched databases including PubMed, MEDLINE, CBM, CNKI, VIP, for literature on the risk factors of secondary TR after left-sided valve surgery from 1995 to 2012. According to the inclusion and exclusion criteria, we screened literature, extracted data, and assessed methodological quality. Then, meta-analysis was performed using RevMan 5.0 software. Results A total of 6 case-control studies were included, involving 437 patients and 2 102 controls. The results of meta-analysis showed that, the risk factors of progressive exacerbation of secondary TR after left-sided valve surgery included preoperative atrial fibrillation (OR=3.90, 95%CI 3.00 to 5.07; adjusted OR=3.04, 95%CI 2.21 to 4.16), age (MD=5.36, 95%CI 3.49 to 7.23), huge left atrium (OR=5.17, 95%CI 3.12 to 8.57; adjusted OR=1.91, 95%CI 1.49 to 2.44) or left atrium diameter (MD=4.85, 95%CI 3.18 to 6.53), degradation of left heart function (OR=2.97, 95%CI 1.73 to 5.08), rheumatic pathological change (OR=3.06, 95%CI 1.66 to 4.68), preoperative TR no less than 2+ (OR=3.52, 95%CI 1.26 to 9.89), and mitral valve replacement (MVR) (OR=2.35, 95%CI 1.68 to 3.30). Sex (OR=1.54, 95%CI 0.94 to 2.52) and preoperative pulmonary arterial hypertension (OR=1.28, 95%CI 0.77 to 2.12) were not associated with secondary TR after left-sided valve surgery. Conclusion The risk factors of progressive exacerbation of secondary TR after left-sided valve surgery include preoperative atrial fibrillation, age, huge left atrium or left atrium diameter, degradation of left heart function, rheumatic pathological change, preoperative TR no less than 2+, and MVR. Understanding these risk factors helps us to improve the long-time effectiveness of preventing and treating TR after left-sided valve 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.
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.
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.
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.