Acute alcohol intoxication is one of the most common poisoning diseases in emergency departments. The main clinical manifestations are nervous system symptoms, with various comorbidities, hidden complications, and high risk of adverse events, and it often takes up more medical resources in emergency departments. This article summarizes the necessity, basis, and existing methods of clinical risk assessment for acute alcohol intoxication, in order to provide a reference for early identification of high-risk patients and optimization of management in emergency departments.
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.
Objective To construct a multi-dimensional risk assessment system and scale for the prevention and control risk of respiratory infectious diseases in general hospitals, and make evaluation and early warning. Methods Through the collection of relevant literature on the prevention and control of respiratory infectious diseases during the period from January 1st, 2020 to December 31st, 2022, the articles related to the risk assessment of respiratory infectious diseases such as severe acute respiratory syndrome, COVID-19 and influenza A (H1N1) were screened, and the Delphi method was used to evaluate the articles and establish an indicator system. The normalized weight and combined weight of each item were calculated by analytic hierarchy process. The technique for order preference by similarity to the ideal solution method was used to calculate the risk composite index of 38 clinical departments in a tertiary general hospital in Jiangxi Province in December 2022. Results A total of 16 experts were included, including 4 with senior titles, 8 with associate senior titles, and 4 with intermediate titles. After two rounds of Delphi consult, a total of 4 first-level indicators, 11 second-level indicators, and 38 third-level indicators of risk assessment for the prevention and control of respiratory infectious diseases were determined. The reliability and validity of the scale were good. The top three items with the largest combined weights in the scale were spread by aerosol, spread by respiratory droplet, and commonly used instruments (inspection instruments and monitoring equipment). After a comprehensive analysis on the 38 departments, the top 10 departments in the risk index were the departments of medical imaging, pediatrics, ultrasound, cardiac and vascular surgery, infection, emergency, respiratory and critical care, general medicine, otolaryngology and neck surgery, stomatology, and obstetrics. Conclusions This study constructed the risk assessment scale of respiratory infectious diseases in general hospitals, and the scale has good reliability and validity. The use of this scale for risk assessment of general hospitals can provide a theoretical basis for the risk characteristics of prevention and control of respiratory infectious diseases in general hospitals.
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 determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.
Abstract： Objective To evaluate prediction validation of Sino System for Coronary Operative Risk Evaluation （SinoSCORE） on in-hospital mortality in adult heart surgery patients in West China Hospital.?Methods?We included clinical records of 2 088 consecutive adult patients undergoing heart surgery in West China Hospital from January 2010 to May 2012, who were also included in Chinese Adult Cardiac Surgical Registry.We compared the difference of preoperative risk factors for the patients between Chinese Adult Cardiac Surgical Registry and West China Hospital. SinoSCORE was used to predict in-hospital mortality of each patient and to evaluate the discrimination and calibration of SinoSCORE for the patients.?Results?Among the 2 088 patients in West China Hospital, there were 168 patients （8.05%） undergoing coronary artery bypass grafting （CABG）, 1 884 patients （90.23%） undergoing heart valve surgery, and 36 patients （1.72%） undergoing other surgical procedures. There was statistical difference in the risk factors including hyperlipemia, stroke, cardiovascular surgery history, and kidney disease between the two units.The observed in-hospital mortality was 2.25% （47/2 088）. The predicted in-hospital mortality calculated by SinoSCORE was 2.35% （49/2 088） with 95% confidence interval 2.18 to 2.47. SinoSCORE was able to predict in-hospital mortality of the patients with good discrimination （Hosmer Lemeshow test: χ2=3.164, P=0.582） and calibration （area under the receiver operating characteristic curve of 0.751 with 95% confidence interval 0.719 to 0.924）. Conclusion SinoSCORE is an accurate predictor in predicting in-hospital mortality in adult heart surgery patients who are mainly from southwest China
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.
ObjectiveTo evaluate the validity of European System for Cardiac Operative Risk Evaluation (EuroSCORE) Ⅱ for predicting in-hospital mortality and prolonged ICU stay after Sun's procedure (total aortic arch replacement with stented elephant trunk implantation) for Stanford type A aortic dissection (STAAD). MethodsClinical data of 384 STAAD patients undergoing Sun's procedure in Beijing Anzhen Hospital between February 2009 and February 2012 were retrospectively analyzed, including 228 (59.38%) patients with acute STAAD. Accoding to EuroSCORE Ⅱ to predict postoperative mortality, all the patients were divided into a low-risk group, a medium-risk group, a high-risk group and an extremely-high-risk group. There were 296 patients including 52 females in the low-risk group with their age of 45.39±10.75 years, 70 patients including 19 females in the medium-risk group with their age of 47.67±11.26 years, 13 patients including 5 females in the high-risk group with their age of 53.08±4.94 years, and 5 patients including 1 female patient in the extremely-high-risk group with their age of 41.60±11.08 years. All the patients received Sun's procedure under deep hypothermic circulatory arrest and antegrade selective cerebral perfusion. EuroSCORE Ⅱ was used to predict postoperative mortality and prolonged ICU stay. ResultsIn-hospital mortality was 8.07% (31/384). Mean length of ICU stay was 3.06 days. Length of ICU stay of 42 patients was longer than 7 days. For low-risk group, the predicted mortality was lower than the actual mortality. For medium-risk, high-risk and extremely-high-risk groups, the predicted mortality was higher than the actual mortality. EuroSCORE Ⅱ showed unsatisfactory discriminatory ability to predict postoperative mortality and prolonged ICU stay. The area under ROC curve were 0.49 and 0.52 respectively. The calibration was also poor for predicting postoperative mortality and prolonged ICU stay (P<0.001). ConclusionsEuroSCORE Ⅱ is not satisfactory for predicting mortality and prolonged ICU stay after Sun's procedure for the treatment of STAAD. A new risk evaluating system specific for STAAD is needed.
European system for cardiac operative risk evaluation(EuroSCORE) is one of the widely used and influential cardiac surgery risk assessment system. It was originally used to predict the quantitative score of probability of death after cardiac surgery. After that, it has been developed to predict long-term mortality and survival rate, ICU residence time, treatment costs, main complications and so on. EuroSCORE Ⅱ is the latest version, which is more accurate in predicting mortality, long term survival rate than the old one. But there are also some limitations as predicting limited range of the end, underestimating the mortality of critically endangered patients, lacking adequate preoperative risk factors and so on. This review article focuses on the production, development and clinical application of EuroSCORE.