目的探讨成人风湿性心脏瓣膜病术前并发心室电风暴（恶性室性心动过速、心室颤动）行急诊手术的疗效及体会。 方法回顾性分析2004年10月至2014年10月我院成人心脏瓣膜入院后突发恶性室性心动过速、心室颤动的患者6例，其中男2例，女4例，年龄35.0～64.0岁，平均49.8岁。6例患者均为风湿性心脏瓣膜病，二尖瓣中重度狭窄并主动脉瓣及三尖瓣中重度关闭不全2例，二尖瓣中重度关闭不全并三尖瓣中重度关闭不全4例，恶性心律失常发作后立即予艾司洛尔等药物控制，病情基本稳定后急诊手术。其中，行双瓣膜置换+三尖瓣成形术2例，行二尖瓣置换+三尖瓣成形术4例。 结果无围术期患者死亡，术后无心功能显著恶化、无多脏器功能衰竭、无恶性室性心律失常。术后1～2周24 h动态心电图提示室性早搏大于1 000次的2例，室性早搏500～1 000次1例，小于500次的患者3例，短阵室性心动过速2次的患者2例，短阵室性心动过速3次的患者1例。所有6例患者均安全出院，随访6个月至10年，无患者死亡。 结论急诊外科手术联合β受体阻滞剂在治疗成人心脏瓣膜疾病术前突发的反复恶性室性心动过速、心室颤动安全有效。
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 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.
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 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 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.
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.