Analysis of risk factors and establishment of a risk prediction model for cardiothoracic surgical intensive care unit readmission after heart valve surgery in China: A single-center study.

BACKGROUND: Valvular heart disease is one of the most frequent and challenging heart diseases worldwide. The incidence of complications and cardiothoracic surgical intensive care unit (CSICU) readmission after cardiac valve surgery is high. Because CSICU readmission is costly and adversely impacts the quality life, reducing the risk of CSICU readmission has become one of the main focuses of health care. OBJECTIVE: To explore the risk factors for CSICU readmission and to establish a risk prediction model for CSICU readmission in heart valve surgical patients. METHODS: A total of 1216 patients who had undergone cardiac valvular surgery between January 2016 and August 2017 at the First Affiliated Hospital of Sun Yat-sen University were assigned as the development and validation data sets. Data from 824 patients in the development data set were retrospectively analyzed to identify potential risk factors with univariate analysis. Multivariate logistic regression was used to determine the independent risk factors of CSICU readmission, which served as the basis for our prediction model. The calibration and discrimination of the model were assessed by the Hosmer-Lemeshow (H-L) test and the area under the receiver operating characteristic (ROC) curve, respectively. RESULTS: Six preoperative variables (age ≥ 65, previous chronic lung disease, prior cardiac surgery, left ventricular ejection fraction (LVEF) ≤ 40%, 40% < LVEF ≤ 50%, and New York Heart Association (NYHA) classification III/IV), two intraoperative variables (multiple valve repair/replacement and cardiopulmonary bypass time ≥ 180 min), and five postoperative variables (cardiac arrest, acute respiratory distress syndrome, pneumonia, deep sternal wound infection, and renal failure) were independent risk factors of CSICU readmission. Our risk prediction model, which was established based on the above-mentioned risk factors, had robust discrimination and calibration in both the development and validation data sets. CONCLUSION: The prediction model established in our study is a simple, objective, and accurate scoring system, which can be used to predict the risk of CSICU readmission and assist researchers with designing intervention strategies to prevent CSICU readmission.

Simvastatin reduces myocardial injury undergoing noncoronary artery cardiac surgery: a randomized controlled trial.

OBJECTIVE: Myocardial injury during cardiac surgery is a major cause of perioperative morbidity and mortality. We determined whether perioperative statin therapy is cardioprotective in patients undergoing noncoronary artery cardiac surgery and the potential mechanisms. METHODS AND RESULTS: One hundred fifty-one patients undergoing noncoronary artery cardiac surgery were randomly assigned to either a statin group (n=77) or a control group (n=74). Simvastatin (20 mg) was administered preoperatively and postoperatively. Plasma were analyzed for troponin T, isoenzyme of creatine kinase, C-reaction protein, interleukin-6, interleukin-8, creatinine, and blood urea nitrogen. Cardiac echocardiography was performed. Endothelial nitric oxide synthase (eNOS), Akt, p38, heat shock protein 90, caveolin-1, and nitric oxide (NO) in the heart were detected. Simvastatin significantly reduced plasma troponin T, isoenzyme of creatine kinase, C-reaction protein, blood urea nitrogen , creatinine, interleukin-6, interleukin-8, and the requirement of inotropic postoperatively. Simvastatin increased NO production, the expression of eNOS and phosphorylation at serine1177, phosphorylation of Akt, expression of heat shock protein 90, heat shock protein 90 association with eNOS and decreased eNOS phosphorylation at threonine 495, phosphorylation of p38, and expression of caveolin-1. Simvastatin also improved cardiac function postoperatively. CONCLUSIONS: Perioperative statin therapy can improve cardiac function and renal function by reducing myocardial injury and inflammatory response through activating Akt-eNOS and attenuating p38 signaling pathways in patients undergoing noncoronary artery cardiac surgery. Clinical Trial Registration- URL: http://www.clinicaltrials.gov. Unique identifier: NCT01178710.

[Prognostic factors of myasthenic crisis after extended thymectomy in patients with generalized myasthenia gravis].

OBJECTIVE: To investigate the prognostic factors of myasthenic crisis after extended thymectomy in patients with generalized myasthenia gravis (MG). METHODS: Extended thymectomy was performed on 176 patients with generalized MG, 74 males and 102 females, aged 4 - 67, of which 36 experienced postoperative myasthenic crisis and required prolonged mechanical ventilation. The relations among the age, sex, preoperative course of disease, pathologic type of thymus, Osserman classification, history of infection during 1 month preoperatively, history of myasthenic crisis 1 month preoperatively, thymoma, preoperative daily dose of pyridostigmine, preoperative steroid use, operation time, intra-operative blood loss, and intra-operative pleura injury and postoperative myasthenia crisis were analyzed. RESULTS: Univariate analysis showed that bulbar symptoms (OR = 8.494, P = 0.001), history of myasthenic crisis 1 month preoperatively (OR = 5.667, P = 0.000), thymoma (OR = 2.147, P = 0.047), Osserman types III and IV (OR = 0.459, P = 0.000), history of infection during 1 month preoperatively (OR = 3.30, P = 0.038), large pre-operative dose of pyridostigmine (OR = 1.019, P = 0.001), long operation time (OR = 1.012, P = 0.034), and more blood loss (186 ml +/- 163 ml) (OR = 1.004, P = 0.012), were all prognostic factors or postoperative myasthenic crisis. However, multivariate logistic regression analysis revealed that preoperative bulbar symptoms (OR = 7.709, P = 0.003), history of infection during 1 month preoperatively (OR = 4.582, P = 0.037), history of myasthenic crisis 1 month preoperatively (OR = 4.526, P = 0.001, large pre-operative dose of pyridostigmine (OR = 1.016, P = 0.001) were prognostic factors of postoperative myasthenic crisis. CONCLUSION: Preoperative bulbar symptoms, history of preoperative myasthenic crisis, history of preoperative infection, and large preoperative dose of, pyridostigmine are all independent influencing factors of postoperative myasthenic crisis. Ample preoperative care may prevent postoperative myasthenic crisis in the patients with such factors.

Surgical intervention for advanced valvular heart disease in 227 cases.

BACKGROUND: Although the results of surgical treatment in cardiac valve disease continue to improve, the postoperative mortality rate and the rate of complications in patients with advanced valvular heart disease (AVHD) are still very high. We did this retrospective study to summarize the surgical experience of heart valve replacement for patients with AVHD and discuss effective ways to improve the surgical outcome. METHODS: From January 1994 to October 2003, surgical procedures of heart valve replacement were performed on 227 (136 men and 91 women) patients with AVHD in our Department of Cardiothoracic Surgery. The clinical data of all patients were collected and analysed. Patients' age ranged from 10 years to 77 years. In preoperative cardiac function grading, 157 cases were NYHA III and 70 cases NYHA IV. Fifty-one patients had had cardiac operations. The ultrasonic cardiac graphs showed that 145 patients suffered from moderate or severe pulmonary hypertension and 73 had combined giant left ventricle. Mitral valve replacement was performed in 32 cases, aortic valve replacement in 90, tricuspid valve replacement in 1, combined mitral and aortic replacement in 103 and combined mitral and tricuspid replacement in 1. Nineteen patients also received surgical corrections for other minor abnormalities during the operations. A logistic model was established to evaluate the influence of perioperative factors on the mortality rate. RESULTS: The operative mortality rate was 13.2% (30/227). The main causes of death included multiple organ dysfunction syndrome (MODS), low cardiac output syndrome and ventricular fibrillation. From the results of the binary noncounterpart multivariate logistic regression, the following statistically significant factors were found to influence the operative mortality rate: redo operation, age >/= 55 years, preoperative NYHA cardiac function grading, extracorporeal circulation time >/= 120 minutes and postoperative usage of GIK (glucose, insulin and potassium) solution. All factors were risk ones except postoperative application of GIK. The Hosmer-Lemeshow goodness of fit coefficient of this model was 0.976. CONCLUSIONS: The risk factors associated with postoperative mortality rate in the patients with AVHD were redo operation, age >/= 55 years, preoperative NYHA cardiac function grading and extracorporeal circulation time >/= 120 minutes. Postoperative usage of GIK acted as a kind of metabolic therapy and will improve the recovery for patients with AVHD. Active perioperative management and care will play a very important role in reducing the operative risk and improving the short term outcome of surgical treatment for the patients with AVHD.