Objective To analyze the early clinical outcome of high-operative-risk coronary artery bypass grafting （CABG） classified according European System for Cardiac Operative Risk Evaluation （EuroSCORE）. Methods Classified eighty-four patients accepted CABG from Feb. 2004 to Sep. 2004 in our ward to high-operativerisk group （≥6, n=40） and low-medium-operative-risk group （0-5, n=44） according EuroSCORE. Record the operative schemes, complications after operation and evaluate the severe state with acute physiology and chronic health evaluation Ⅱ （APACHE Ⅱ ） and sequential organ failure assessment（SOFA） for all patients. Compare the early clinical outcome between the two groups. Results The operative mortality, ratio of long ICU-staying time, incidence of complications and severe degree of high-operative-risk group were higher than those in the low-mediumoperative-risk group. Standard EuroSCORE had significant positive correlation with either of A0, A1, Amax or S1, Smax counted in total patients （P〈0. 01）, and the same as logistic EuroSCORE （P〈 0. 05）. But when compared the relationships in certain risk ranks, only in high-operative-risk group the positive correlation was found between standard EuroSCORE and A1, Amax, S1 and Smax （P〈 0. 05）, between logistic EuroSCORE and Amax （P〈 0. 05）. Conclusion EuroSCORE could evaluate overall operative risk perfectly in our patients, and maybe more sensitively in the high-operative-risk patients. Many factors could improve the prognosis of high-operative-risk patients： accurate evaluation of the operative risk before surgery; perfect myocardial protection, effective myocardial revascularization and thorough correction of malformation in operation, and proper postoperative management in time.
Objective To explore the strategy of intrathoracic anastomosis in patients with esophageal squamous cell carcinoma when the proximal esophagus is dilated to different degrees and explore its mechanism. Methods We retrospectively reviewed the clinical data of patients who underwent esophagectomy between 2014 and 2017 in West China Hospital. The patients were divided into two groups including a significant dilatation group with inner mucosal phase diameter (IMPD)≥17.9 mm and a non-significant dilatation group with IMPD<17.9 mm. And the patients were divided into two groups (a layered manual anastomosis group and a stapled anastomosis group) according to anastomosis method and propensity score matching was applied to adjust for potential confounders. Results We finally included 654 patients. There were 206 patients with 158 males and 48 females at average age of 62.21±7.72 years in the layerd manual analstomosis group and 448 patietns with 377 males and 71 females at average age of 62.57±8.42 years in the stapled anastomosis group. We also used Masson trichrome staining to assess the collagen fiber content in the esophagus. Compared with layered manual anastomosis, the incidence of anastomotic leakage was higher in the significant dilatation group than that in the stapled anastomosis group (original cohort: 3.8% vs. 10.7%, P=0.093; propensity score-matched cohort: 1.4% vs. 15.3%, P=0.004). And there was no significant difference in anastomotic leakage b etween layered manual anastomosis and stapled anastomosis in the non-significant dilatation group (original cohort: 4.7% vs. 4.2%, P=0.830; propensity score-matched cohort: 4.8% vs. 4.0%, P=0.206). Moreover, the average collagen fiber area ratio was significantly lower in the significant dilation group than that in the non-significant dilatation group (P=0.045). Conclusion There is a significant reduction in collagen fibers in the proximal esophageal wall tissue of esophageal squamous cell carcinoma patients with a IMPD≥17.9 mm. Intrathoracic layered manual anastomosis effectively reduces postoperative anastomotic leakage in these patients.
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.
Objective To evaluate the risk of management decision combined neo-adjuvant chemotherapy with operation for colorectal cancer by means of the colorectal cancer model of the Association of Coloproctology of Great Britain and Ireland (ACPGBI-CCM). Methods One hundred and eighty-one eligible patients (102 male, 79 female, mean age 58.78 years), which were pathologically proved colorectal cancer in our ward from July to November 2007, involved 62 colonic and 119 rectal cancer. The enrollment were assigned into multi-disciplinary team (MDT) group (n=65) or non-MDT group (n=116), according to whether the MDT was adopted, and the operative risk was analyzed by ACPGBI-CCM. Results The baseline characteristics of MDT and non-MDT group were coherent. The watershed of lower risk group (LRG) and higher risk group (HRG) was set as predictive mortality=2.07%. The time involving extraction of gastric, urethral and drainage tube, feeding, out-of-bed activity after operation in MDT group, whatever in LRG or HRG, were statistically earlier than those in non-MDT group (P＜0.05). The resectable rate in LRG was statistically higher than that in HRG (P＜0.05), and the proportion of Dukes staging was significantly different (P＜0.05) between two groups; Moreover, predictive mortality in HRG was statistically higher than that in LRG (P＜0.05), while actually there was no death in both groups. Conclusion Dukes staging which is included as an indispensable option by ACPGBI-CCM is responsible for the lower predictive mortality in LRG.Hence, the value of ACPGBI-CCM used to asses the morbidity of complications within 30 days postoperatively would be warranted by further research. The postoperative risk evaluation can serve as a novel routine to comprehensively analyze the short-term safe in the MDT.
Objective To explore the application of artificial intelligence in the risk assessment and diagnosis of pancreatic cancer, and to point out its limitations and future suggestions, so as to promote the further application of artificial intelligence in the future. Method The related literatures on the application of artificial intelligence in the risk assessment and diagnosis of pancreatic cancer at home and abroad in recent years were reviewed. Results The usage of artificial intelligence models to assess high-risk patients was beneficial to the diagnosis of pancreatic cancer, although more data were needed to support its role in pancreatic cancer screening. In terms of early diagnosis, artificial intelligence technology could rapidly locate high-risk groups through medical imaging, pathological examination, biomarkers, and so on, and then detected pancreatic cancer at an early stage. Conclusion Despite some limitations, artificial intelligence will play an important role in the early diagnosis and risk prediction of pancreatic cancer in the future due to its powerful computational power.
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.
目的 总结风险评估和预警措施在中毒患者洗胃救治中的作用，以减少洗胃并发症发生，保证救治安全。方法 抽取2009年1月－2010年12月在急诊科实施强制洗胃患者90例，2009年中毒洗胃患者45例为对照组，2010年中毒洗胃患者45例为观察组。对照组实施常规护理，观察组在常规护理的基础上实施风险评估，比较两组患者洗胃并发症发生情况。结果 观察组洗胃并发症较对照组明显减少，两组比较差异有统计学意义（χ2=10.601，P＜0.01）。结论 风险评估可提高护理人员对洗胃风险的预见性，有效减少并发症的发生。
Accurately assessing the risk of bias is a critical challenge in network meta-analysis (NMA). By integrating direct and indirect evidence, NMA enables the comparison of multiple interventions, but its outcomes are often influenced by bias risks, particularly the propagation of bias within complex evidence networks. This paper systematically reviews commonly used bias risk assessment tools in NMA, highlighting their applications, limitations, and challenges across interventional trials, observational studies, diagnostic tests, and animal experiments. Addressing the issues of tool misapplication, mixed usage, and the lack of comprehensive tools for overall bias assessment in NMA, we propose strategies such as simplifying tool operation, enhancing usability, and standardizing evaluation processes. Furthermore, advancements in artificial intelligence (AI) and large language models (LLMs) offer promising opportunities to streamline bias risk assessments and reduce human interference. The development of specialized tools and the integration of intelligent technologies will enhance the rigor and reliability of NMA studies, providing robust evidence to support medical research and clinical decision-making.
Objective To explore the application of risk assessment of nosocomial infection control in outpatient departments, so as to find out the high-risk departments and high-risk links of nosocomial infection, and to provide basis for the formulation of nosocomial infection prevention and control measures in outpatient departments. Methods The improved risk assessment tool was used to evaluate the nosocomial infection management risk in the outpatient departments of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. We evaluated risk indicators and risk levels from three dimensions: likelihood of risk occurrence, severity of consequences, and integrity of the current system. Results Among the evaluated outpatient departments, the departments with extremely high risk levels included pediatric fever outpatient department (147.8 points), pediatric outpatient department (141.2 points), emergency internal medicine department (139.4 points), and pediatric emergency department (138.8 points). The departments with high risk levels included internal medicine outpatient department (138.4 points), dermatology outpatient department (136.0 points), otolaryngology-head and neck surgery outpatient department (135.6 points), and ophthalmology outpatient department (134.0 points). The risk assessment scores of 31 outpatient departments showed a normal distribution. The evaluation results of various risk indicators showed that among the 26 risk indicators, there were 2 extremely low risk, 4 low risk, 6 medium low risk, 7 medium high risk, 4 high risk, and 3 extremely high risk. The 3 extremely high risk indicators were lack of nosocomial infection prevention and control knowledge, patients with difficult to identify diseases (air/droplet transmission) seeking medical treatment, and crowded waiting areas for patients. Conclusions The comprehensive risk assessment of outpatient departments can screen out high risk outpatient departments and find out the main risk links. We can concentrate resources on key departments, prevent key risks, and improve the efficiency of nosocomial infection control.