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
ObjectiveTo explore the value of platelet-lymphocyte ratio (PLR) after return of spontaneous circulation (ROSC) combined with Sequential Organ Failure Assessment (SOFA) for estimating the short-term prognosis of ROSC patients suffered from in-hospital cardiac arrest (IHCA).MethodsROSC adult patients who suffered from IHCA during treatment in the Emergency Department of West China Hospital of Sichuan University between 00:00, August 1st, 2010 and 23:59, July 31st, 2018 were included retrospectively. The basic and clinical data of patients were collected. Patients were divided into survival group and death group according to the 28-day prognosis. Through logistic regression and receiver operating characteristic (ROC) curve analysis, the efficacy of PLR after ROSC combined with SOFA score in predicting the 28-day prognosis of IHCA patients was explored.ResultsA total of 199 patients were included, including 135 males and 64 females, with a mean age of (60.45±17.52) years old. There were 154 deaths and 45 survivors within 28 days. There were statistically significant differences between the survival group and the death group in terms of epinephrine dosage, SOFA score, proportion of patients complicated with respiratory diseases, and post-ROSC laboratory indexes including PLR, hemoglobin, red blood cell count, lymphocyte count, indirect bilirubin, serum albumin, cholesterol, and activated partial thrombin time (P<0.05). The result of multivariate logistic regression analysis showed that epinephrine dosage [odds ratio (OR)=1.177, 95% confidence interval (CI) (1.024, 1.352), P=0.022], SOFA score [OR=1.536, 95%CI (1.173, 2.010), P=0.002], PLR after ROSC [OR=1.011, 95%CI (1.004, 1.018), P=0.002] were independent risk factors for ROSC patients’ death on day 28. The areas under the ROC curve of epinephrine dosage, SOFA score and PLR after ROSC were 0.702, 0.703 and 0.737, respectively, to predict the patients’ 28-day outcome. Combining the epinephrine dosage and PLR after ROSC with SOFA score respectively to predict the 28-day outcome of patients, the areas under the ROC curve were 0.768 and 0.813, respectively.ConclusionsThe significant increase of PLR after ROSC is an independent risk factor for death within 28 days after ROSC. The combined application of PLR after ROSC and SOFA score in the 28-day outcome prediction of patients has better predictive efficacy.
ObjectiveTo investigate the influence of hemoglobin level on in-hospital outcome of elderly patients with acute coronary syndrome (ACS).MethodsThis study retrospectively collected 262 elderly patients with ACS in the First Hospital of Tsinghua University from January 2015 to August 2019. Patients were divided into 4 groups according to the hemoglobin level. Patients with hemoglobin level≤121.75 g/L were classified into group A (n=65), patients with hemoglobin level between 121.76 and 132.50 g/L were classified into group B (n=66), patients with hemoglobin level between 132.51 and 144.00 g/L were classified into group C (n=69), and patients with hemoglobin level≥144.01 g/L were classified into group D (n=62). The primary endpoints of this study were in-hospital major adverse cardiovascular events, including all-cause death, reinfarction, acute or subacute stent thrombosis and cardiac arrest. Logistic regression analysis was used to explore the effect of hemoglobin on the in-hospital prognosis of elderly patients with ACS.ResultsLogistic regression analysis showed that the odds ratio of hemoglobin level in the major adverse cardiovascular events assessment was 0.971, the 95% confidence interval was (0.946, 0.996) and the P value was 0.024, while the odds ratio of hemoglobin level in the all-cause death assessment was 0.957, the 95% confidence interval was (0.929, 0.987) and the P value was 0.005.ConclusionLow hemoglobin level is a risk factor for in-hospital adverse events in the elderly patients with ACS.
ObjectiveTo explore the clinical application value of antithrombin Ⅲ (ATⅢ) in pulmonary thromboembolism (PTE).MethodsA retrospective study included 204 patients with confirmed PTE who were admitted to Fujian Provincial Hospital from May 2012 to June 2019. The clinical data of the study included basic conditions, morbilities, laboratory examinations and scoring system within 24 hours after admission. The relationship between ATⅢ and PTE in-hospital death was analyzed, and the value of ATⅢ to optimize risk stratification was explored.ResultsFor ATⅢ, the area under receiver operating characteristic curve (AUC) of predicting in-hospital mortality was 0.719, with a cut-off value of 77.7% (sensitivity 64.71%, specificity 80.21%). The patients were divided into ATⅢ≤77.7% group (n=48) and ATⅢ>77.7% group (n=156) according to the cut-off value, and significant statistically differences were found in chronic heart failure, white blood cells count, platelets count, alanine aminotransferase (ALT), albumin and troponin I (P<0.05). According to the in-hospital mortality, patients were divided into a death group (n=17) and a survival group (n=187), and the differences in count of white blood cells, ATⅢ, D-dimer, ALT, albumin, estimated glomerular filtration rate and APACHEⅡ were statistically significant. Logistic regression analysis revealed that ATⅢ≤77.7% and white blood cells count were independent risk factors for in-hospital death. The risk stratification and the risk stratification combined ATⅢ to predict in-hospital death were evaluated by receiver operating characteristic curve, and the AUC was 0.705 and 0.813, respectively (P<0.05). A new scoring model of risk stratification combined with ATⅢ was showed by nomogram.ConclusionsATⅢ≤77.7% is an independent risk factor for in-hospital death, and is beneficial to optimize risk stratification. The mechanism may be related to thrombosis, right ventricular dysfunction and inflammatory response.
Objective To systematically review risk prediction models of in-hospital cardiac arrest in patients with cardiovascular disease, and to provide references for related clinical practice and scientific research for medical professionals in China. Methods Databases including CBM, CNKI, WanFang Data, PubMed, ScienceDirect, Web of Science, The Cochrane Library, Wiley Online Journals and Scopus were searched to collect studies on risk prediction models for in-hospital cardiac arrest in patients with cardiovascular disease from January 2010 to July 2022. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias of the included studies. Results A total of 5 studies (4 of which were retrospective studies) were included. Study populations encompassed mainly patients with acute coronary syndrome. Two models were modeled using decision trees. The area under the receiver operating characteristic curve or C statistic of the five models ranged from 0.720 to 0.896, and only one model was verified externally and for time. The most common risk factors and immediate onset factors of in-hospital cardiac arrest in patients with cardiovascular disease included in the prediction model were age, diabetes, Killip class, and cardiac troponin. There were many problems in analysis fields, such as insufficient sample size (n=4), improper handling of variables (n=4), no methodology for dealing with missing data (n=3), and incomplete evaluation of model performance (n=5). Conclusion The prediction efficiency of risk prediction models for in-hospital cardiac arrest in patients with cardiovascular disease was good; however, the model quality could be improved. Additionally, the methodology needs to be improved in terms of data sources, selection and measurement of predictors, handling of missing data, and model evaluations. External validation of existing models is required to better guide clinical practice.
ObjectiveTo explore the association between frailty and in-hospital mortality in older patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods Elderly patients who were hospitalized with AECOPD from June 2022 to December 2022 at a large tertiary hospital were selected. The independent prognostic factors including frailty status were determined by multivariate logistic regression analysis. Mediation effect analysis was used to evaluate the mediating relationships between C-reactive protein (CRP) and albumin and in-hospital death. ResultsThe training set included 1 356 patients (aged 86.7±6.6), 25.0% of whom were diagnosed with frailty. The multiple logistic regression analysis showed that frailty, mean arterial pressure, Charlson comorbidity index, neutrophil–lymphocyte ratio, interleukin-6, CRP, albumin, and troponin T were associated with in-hospital mortality. Furthermore, CRP and albumin mediated the associations between frailty and in-hospital mortality. ConclusionFrailty may be an adverse prognostic factor for older patients admitted with an AECOPD. CRP and albumin may be parts of mechanism between frailty and in-hospital death.
Objective To investigate the relationship between thrombocytopenia after the restoration of spontaneous circulation and short-term prognosis of patients with in-hospital cardiac arrest. Methods The demographic data, post-resuscitation vital signs, post-resuscitation laboratory tests, and the 28-day mortality rate of patients who experienced in-hospital cardiac arrest at the Emergency Department of West China Hospital, Sichuan University between January 1st, 2016 and December 31st, 2016 were retrospectively analyzed. Logistic regression was used to analyze the correlation between thrombocytopenia after the return of spontaneous circulation and the 28-day mortality rate in these cardiac arrest patients. Results Among the 285 patients included, compared with the normal platelet group (n=130), the thrombocytopenia group (n=155) showed statistically significant differences in red blood cell count, hematocrit, white blood cell count, prothrombin time, activated partial thromboplastin time, and international normalized ratio (P<0.05). The 28-day mortality rate was higher in the thrombocytopenia group than that in the normal platelet group (84.5% vs. 71.5%, P=0.008). Multiple logistic regression analysis indicated that thrombocytopenia [odds ratio =2.260, 95% confidence interval (1.153, 4.429), P=0.018] and cardiopulmonary resuscitation duration [odds ratio=1.117, 95% confidence interval (1.060, 1.177), P<0.001] were independent risk factors for 28-day mortality in patients with in-hospital cardiac arrest. Conclusion Thrombocytopenia after restoration of spontaneous circulation is associated with poor short-term prognosis in patients with in-hospital cardiac arrest.