Objectives To explore the characteristics of thrombosis in critically ill patients with Omicron infection and the therapeutic value of prophylactic low molecular weight heparin (LMWH) treatment. MethodsA single center, retrospective cohort study included critically ill adult patients with Omicron variant of SARS-CoV-2 admitted to Peking University Third Hospital from December 7, 2022, to February 8, 2023. The patients were categorized into two groups based prophylactic LMWH. Propensity score (PS) matching was used to match patients (1: 1 ratio) based on the predefined criteria. General clinical information and laboratory parameters were compared. This study was retrospectively registered at Chinese Clinical Trail Registry (ChiCTR2300067434). ResultsFour hundred and fifty-two patients and 360 patients were included before and after PS matching. There were no statistical differences in mortality, the incidence of pulmonary embolism, arterial thrombosis or bleeding between the anticoagulation group and non-coagulation group before and after PS matching. There were 91 thrombotic events in 82 patients (18.14%), of which 54 cases (59.34%) were lower limb intermuscular vein thrombosis, 3 cases (3.30%) were pulmonary embolism, 14 cases (15.38%) were acute myocardial infarction and 3 cases (3.30%) were acute cerebral infarction. The thrombotic event resulted in the death of 5 patients. D-dimer increased in 385 cases (85.56%). On the 1st, 3rd, 6th and 9th day, the concentration of D-dimer in the anticoagulant group was higher than that in the non-anticoagulant group (P=0.006, 0.001, 0.024 and 0.006, respectively). ConclusionsAlthough thrombosis and coagulation disorders are still common complications of COVID-19, it is not the direct cause of most death in COVID-19 patients caused by Omicron. The role of prophylactic anticoagulation treatment for Omicron-infected patients needs further study.
ObjectiveTo investigate the effects of antimicrobial management program on inpatients outcomes and antimicrobial resistance among clinical isolates in a large-scaled university hospital.MethodsThe antibiotics use density (AUD) and antimicrobial resistance rate of multi-drug resistant bacteria before (from January 2009 to December 2010) and after (from January 2012 to December 2016) the intervention of antimicrobial management program in a large-scaled university hospital (4 300 beds) were calculated and compared, and the correlations of AUD with average length of hospital stay and mortality rate were analyzed.ResultsThe AUD was significantly decreased after intervention (P<0.001). The resistance rate of Staphylococcus aureus to oxacillin decreased (P<0.001). Among Gram-negative bacteria, the resistance rates to carbapenems in Acinetobacter baumannii (P<0.001) and Klebsiella pneumoniae increased (P=0.011). AUD was not correlated with the average length of hospital stay (P=0.644), while positively correlated with the in-hospital mortality rate (r=0.932, P=0.001).ConclusionsThe implementation of antimicrobial management program can significantly reduce the antimicrobial use and do not worsen patient outcomes in the hospital. The impact of the program on resistance varies significantly depending on both the bacterium and the agent, and carbapenem-non-susceptible Gram-negative bacilli emerges as a major threat. It is still necessary to combine other infection control measures.
【Abstract】ObjectiveTo compare the reliability of acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) and APACHE Ⅲ to estimate mortality of critical patients in abdominal surgery. MethodsTwo hundred and sixtyone critical patients in abdominal surgery were included in this study. The clinical data of the first day in ICU were collected and evaluated with both APACHE Ⅱand APACHE Ⅲ prognostic systems and statistical analysis were performed. Probability of survival (Ps) was compared with actual mortality. ResultsThe scores of APACHE Ⅱ and APACHE Ⅲ of death group were significantly higher than those of survival group respectively (P＜0.01). The actual mortality of patients whose Ps was no more than 0.5 was higher than that whose Ps was over 0.5 (P＜0.01). With two prognostic systems, the scores and mortality were the highest in pancreatitis patients and the lowest in patients with gastrointestinal malignant tumor. ConclusionAPACHE Ⅱ and APACHE Ⅲ prognostic systems can be effectively applied to the estimation of mortality of critical patients in abdominal surgery. For certain diagnostic categories, APACHE Ⅲ is better than APACHE Ⅱprognostic system.
Objective To investigate the potential effect of glucocorticoids (referred to as 'hormones' here) on decreasing case fatality rate in patients with human immunodeficiency virus (HIV) negative Pneumocystis jirovecii pneumonia (PJP). Methods The clinical data of a cohort of 93 patients that were diagnosed with HIV-negative PJP at Jiangxi Provincial People's Hospital between April 2019 and April 2022 were retrospectively analyzed. These patients were classified into two groups based on the partial pressure of oxygen in arterial blood (PaO2), specifically PaO2 ≥70 mm Hg and PaO2 <70 mm Hg. The association between case fatality rate and various factors such as underlying diseases, hormone use, mechanical ventilation, and others was examined. Results Over a period of three years, 93 cases of HIV-negative PJP were identified. The most prevalent underlying diseases were solid organ transplantation (n=34, 36.6%), rheumatic system diseases (n=26, 28.0%), and malignant tumors (n=15, 16.1%). 51 cases had arterial PaO2 levels ≥70 mm Hg, while 42 cases had levels <70 mm Hg. Moreover, 19 patients required invasive ventilation, 39 patients were treated with non-invasive ventilation, while 50 patients received oxygenation using a nasal cannula. Out of the 93 patients, 31 died from the disease, resulting in an overall case fatality rate of 33.3%. Meanwhile, 62 patients survived. In patients with arterial PaO2 levels ≥70 mm Hg, the administration of hormones did not significantly affect the case fatality rate (P > 0.05); In patients with arterial PaO2 level <70 mm Hg, the administration of hormones did not significantly affect the case fatality rate (P > 0.05). Conclusion Hormone use did not contribute to improved survival rates in HIV-negative PJP patients, regardless of arterial PaO2 level.
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 develop a machine learning (ML) model to predict the risk of death in intensive care unit (ICU) patients with chronic obstructive pulmonary disease (COPD), explain the factors related to the risk of death in COPD patients, and solve the "black box" problem of ML model. Methods A total of 8088 patients with severe COPD were selected from the eICU Collaborative Research Database (eICU-CRD). Data within the initial 24 hours of each ICU stay were extracted and randomly divided, with 70% for model training and 30% for model validation. The LASSO regression was deployed for predictor variable selection to avoid overfitting. Five ML models were employed to predict in-hospital mortality. The prediction performance of the ML models was compared with alternative models using the area under curve (AUC), while SHAP (SHapley Additive exPlanations) method was used to explain this random forest (RF) model. Results The RF model performed best among the APACHE IVa scoring system and five ML models with the AUC of 0.830 (95%CI 0.806 - 0.855). The SHAP method detects the top 10 predictors according to the importance ranking and the minimum of non-invasive systolic blood pressure was recognized as the most significant predictor variable. Conclusion Leveraging ML model to capture risk factors and using the SHAP method to interpret the prediction outcome can predict the risk of death of patients early, which helps clinicians make accurate treatment plans and allocate medical resources rationally.
ObjectiveTo evaluate the effect of prone position ventilation on mortality in ARDS patients by cumulative meta-analysis.MethodsDatabases including PubMed, EMbase, Web of Science, The Cochrane Library, CBM, CNKI, VIP, WanFang Data were searched from inception to September 30th, 2016 to collect randomized controlled trials (RCTs) about prone position ventilation in ARDS patients. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies. In accordance with the published literature or published in chronological order, cumulative meta-analysis was performed using Stata12.0 software, and the trial sequencing analysis (TSA) method was used to assess the reliability and authenticity of the results.ResultsA total of 9 RCTs involving 2 359 patients were included. The cumulative meta-analysis results showed that the prone position ventilation could reduce the mortality in ARDS patients (OR=0.60, 95%CI 0.40 to 0.90). The TSA results showed that the definite conclusion had been obtained before the desired amount of information had been reached.ConclusionThe current evidence shows that prone position ventilation is associated with decreased mortality in ARDS patients. Due to limited quality and quantity of included studies, the above results are needed to validate by more studies.