Humans ; China/epidemiology* ; SARS-CoV-2 ; COVID-19

At present,although the mortality of most patients undergoing major surgery is very low,the increase of so-called high-risk surgery patients with high risk of postoperative complications and death brings new challenges to perioperative safety management.The efficient collaboration of multidisciplinary professional teams based on patient-centered and value-based medicine is a new measure to ensure perioperative safety.Among them,the critical care medical professional team plays a key role in risk assessment,perioperative organ protection,close monitoring and specific early intervention for high-risk patients,so as to achieve timely prevention,early identification and effective treatment of postoperative complications,and to reduce the risk of death and improve the postoperative quality of life.

Objective Comprehensive mortality risk analyses and therapeutic assessment in real-world practice are beneficial to guide individual treatment in patients with Carbapenem-resistant Klebsiella pneumoniae bloodstream infections(CRKP-BSI).Methods Retrospective analysis of the clinical characteristics of 81 CRKP-BSI patients in our intensive care unit from July 2016 to June 2020,to indentify the risk factors of death and treatment effects of different antibiotic regimens.Results In 81 CRKP-BSI cases,the majority source were from abdominal and respiratory,accounting for 56.79%(46 cases)and 22.22%(18 cases),respectively.The 28-day mortality and hospitalization mortality of CRKP-BSI were 54.32%(44 cases)and 65.43%(53 cases).Multivariate regression analysis suggested that biliary tract disease before admission(P=0.026)and increased SOFA score at the onset of BSI(P=0.006)were independent risk factors for 28-day mortality.There was no statistically significant difference in 28-day mortality between the groups of antibiotic treatment based on tigecycline(44 cases)and polymyxin B(26 cases)[56.82%(25/44)vs.57.69%(15/26),P=0.943].Patients were evaluated based on their age(≤65 years vs.>65 years),gender,body mass index(≤25 kg/m2 vs.>25 kg/m2),and APACHEⅡ score(≤20 vs.>20),the use of renal replacement therapy and mechanical ventilation,there was no difference in the mortality among each subgroup.Conclusions Biliary tract disease before admission and SOFA score were independent risk factors for 28-day mortality.There was no significant difference outcomes between tigecycline-and polymyxin B-based therapy.

Sepsis is defined as a life-threatening organ dysfunction caused by the dysregulated host response to infection, and is one of the main causes of death in intensive care unit (ICU) patients. Coagulation dysfunction runs through the pathophysiological progress of sepsis whose severity should be closely related to the prognosis of sepsis. Neutrophil extracellular traps (NETs) is a three-dimensional network structure with DNA as the skeleton and inlaid with various protein components. The excessive production of NETs can lead to sepsis-induced coagulopathy (SIC) by activating the coagulation system, inhibiting the anticoagulation system, resisting fibrinolysis, damaging vascular endothelial cells and the interaction of platelets. At present, the treatment of SIC is mainly symptomatic treatment, and there is no recognized effective anticoagulation strategy. Interventions for NETs and their components, and drugs for antiplatelets are expected to become new directions for disease treatment.

Hospital culture plays an important role in the orderly operation of large shelter hospitals as well as epidemic prevention and control.From April to May 2022, the shelter hospital of the National Convention and Exhibition Center(Shanghai) had created the large shelter hospital culture co-built by doctors and patients with a greater sense of belonging by taking measures such as joint party building between doctors and patients, giving play to the vanguard force of party members, carrying out various forms of cultural, sports and science popularization activities, encouraging enthusiastic patients to participate in activity planning, focusing on key groups, formulating shelter " residents convention", and so on. These measures ultimately formed cultural adaptation, cultural synchronization and cultural shaping, which were conducive to enhancing the empathy of doctors and patients, improving the effectiveness of medical implementation, and promoting the standardization of shelter management system. This harmonious, warm and autonomous culture co-built by doctors and patients effectively ensures the safe and orderly operation of the shelter hospital, and provides reference for the construction of the cultural system of large shelter hospitals in China.

Sepsis associated-acute kidney injury (SA-AKI) is a common complication of sepsis, which has a high incidence and is closely related to a poor prognosis. However, delayed diagnosis and non-specific treatments make it difficult to systematically manage SA-AKI. Based on massive clinical data, machine learning could build prediction models, which provide alarms and suggestions for the clinical decision support system. Although there are still many challenges such as poor interpretability, it has shown clinical application value in SA-SKI risk prediction, imaging diagnosis, subtype identification, prognosis assessment, and so on. Based on a brief introduction of machine learning, this article reviews the application, limitations, and future directions of machine learning in the diagnosis and treatment of SA-AKI, and explores the possibility of machine learning in the medical field, in order to promote the development of precision medicine and intelligent medicine.

Objective:To explore the protective effect and its mechanism of vitamin C on septic renal injury induced by lipopolysaccharide (LPS).Methods:Renal tubular epithelial cells HK-2 were induced with 10 mg/L LPS for 8 hours and 12 hours, respectively, and then 0.5 mmol/L and 1 mmol/L vitamin C were added, respectively. Cell viability was measured using cell proliferation and toxicity assay cell counting kit-8 (CCK-8) to determine suitable condition for subsequent experiments. HK-2 cells were divided into control group, LPS group and LPS+vitamin C group (LPS+VC group). The contents of necrosis factors phosphorylated mixed lineage kinase domain-like protein (p-MLKL) and phosphorylated receptor-interacting protein kinase 3 (p-RIPK3) were measured by Western blotting. The contents of inflammatory factors interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) were determined by enzyme linked immunosorbent assay (ELISA) in each group. Differences among the groups were compared.Results:CCK-8 showed that 1 mmol/L vitamin C improved the survival rate of HK-2 cells to 86% after 12 hours of LPS induction, so this condition was selected for subsequent experiments. After 12 hours LPS induction in HK-2 cells, the expressions of p-MLKL and p-RIPK3 were significantly higher than those of the control group, and the levels of IL-1β and TNF-α were also significantly higher than those of the control group [IL-1β (ng/L): 23.2±1.4 vs. 12.8±3.9, TNF-α (ng/L): 36.4±3.9 vs. 11.6±1.8, both P < 0.05], indicating the co-existence of cell necrosis and inflammation. Compared with LPS group, 1 mmol/L vitamin C significantly decreased the protein expression of p-MLKL and p-RIPK3, and also significantly decreased the levels of IL-1β and TNF-α [IL-1β (ng/L): 19.8±0.7 vs. 23.2±1.4, TNF-α (ng/L): 17.4±5.8 vs. 36.4±3.9, both P < 0.05]. Conclusion:Vitamin C can alleviate LPS-induced HK-2 cell damage, and reduce the expressions of necrotic factors and inflammatory factors.

Trauma center is an important link of trauma treatment, which is beneficial for professional integrated treatment of trauma patients and reduction of disability and death rate. The establishment of trauma rescue and treatment system is conducive to improving the regional trauma treatment capacity, rationalizing the layout of medical resources and standardizing the trauma treatment. Making full use of geographic information system (GIS) to analyze the big data such as the number of trauma patients, population, ground traffic situation and geographic information in the region and scientifically plan the number and location of trauma centers in the region is crucial to further optimize the geographic layout of trauma treatment centers, coordinate regional trauma treatment resources and improve the overall treatment capacity and is conducive to optimizing trauma treatment resources, improving regional trauma treatment capacity and reducing the disability and death rate of trauma patients. Based on domestic and foreign literature researches, the authors discuss how to use GIS to optimize the trauma rescue and treatment system in China in order to provide a useful reference for construction of regional trauma rescue and treatment system.

Objective:To investigate the clinical features, risk factors and prognosis of Clostridium difficile infection/colonization (CDI/CDC) in emergency intensive care unit (EICU) of Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, then provides theoretical basis for clinical treatment. Methods:A retrospective case-control study was conducted. The data of EICU patients admitted to Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine from June 2016 to June 2020 were collected. Taking the CDI/CDC patients as research objects [ Clostridium difficile (CD) positive group] and the CD negative patients with the same gender and age difference less than 5 years who were admitted to the hospital during the same period as the control (CD negative group). Demographic information, risk factors, prognosis and stool samples were collected. Single factor analysis and binary Logistic regression were used to analyze the CD positive infection rate, risk factors, and hospital death of patients with different clinical characteristics. Results:About 487 patients in EICU were included, 76 cases were taken into CD positive group, CD positive rate was 15.6%, including CDI 11 cases, CDC 65 cases. Among the CD positive group, all of the cases used proton pump inhibitor (PPI), and 75 cases used at least one antibiotic. Seventy-six CD negative patients with or without diarrhea (CD negative group) were included in this study. Among them, 75 patients used PPI and 74 patients used at least one antibiotic. Univariate analysis showed that acute physiology and chronic health evaluation Ⅱ (APACHEⅡ), duration of hospitalization, and carbapenem use were the risk factors for CDI/CDC. There were significant differences in the above indicators between CD positive group and CD negative group [APACHEⅡ: 18.0 (12.2, 25.8) vs. 10.0 (7.0, 14.0), duration of hospitalization (days): 46.0 (30.5, 72.5) vs. 18.5 (9.2, 37.0), proportion of carbapenems: 81.6% (62/76) vs. 64.5% (49/76), all P < 0.05]. Binary Logistic analysis regression analysis showed that APACHEⅡ score [odds ratio ( OR) = 0.802, 95% confidence interval (95% CI) was 0.730-0.882, P < 0.01] and duration of hospitalization ( OR = 0.960, 95% CI was 0.942-0.978, P < 0.01) were independent risk factors for CDI/CDC. There was no difference in overall mortality between the CD positive group and CD negative group [27.6% (21/76) vs. 38.2% (29/76), P = 0.167]. Conclusions:Critically ill patients in EICU routinely use PPI and antibiotics, and the use of antibiotics does not affect the CD positive rate. The independent risk factors of CDI/CDC are the APACHEⅡ score and the duration of hospitalization, but fecal CD positive has no obvious influence on death.

Objective:To establish an early prediction model for bloodstream infection in patients with extremely severe burns based on the screened independent risk factors of the infection, and to analyze its predictive value.Methods:A retrospective case-control study was conducted. From January 1, 2010 to December 31, 2019, 307 patients with extremely severe burns were admitted to the Department of Burns and Plastic Surgery of Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medcine, including 251 males and 56 females, aged from 33 to 55 years. According to the occurrence of bloodstream infection, the patients were divided into non-bloodstream infection group (221 cases) and bloodstream infection group (86 cases). The gender, age, body mass index, outcome, length of hospital stay of patients were compared between the two groups, and the detection of bacteria in blood microbial culture of patients was analyzed in bloodstream infection group. The included 307 patients were divided into modeling group (219 cases) and validation group (88 cases) according to the random number table with a ratio of about 7∶3. The gender, age, body mass index, total burn area, full-thickness burn area, combination of inhalation injury, implementation of mechanical ventilation, days of mechanical ventilation, days of intensive care unit (ICU) stay, outcome, length of hospital stay, complication of bloodstream infection of patients were compared between the two groups. According to the occurrence of bloodstream infection, the patients in modeling group were divided into bloodstream infection subgroup (154 cases) and non-bloodstream infection subgroup (165 cases). The total burn area, full-thickness burn area, combination of inhalation injury, implementation of mechanical ventilation, days of mechanical ventilation, and days of ICU stay of patients were compared between the two subgroups. The above-mentioned data between two groups were statistically analyzed with one-way analysis of independent sample t test, chi-square test, and Mann-Whitney U test to screen out the factors with statistically significant differences in the subgroup univariate analysis of modeling group. The factors were used as variables, and binary multivariate logistic regression analysis was performed to screen out the independent risk factors of bloodstream infection in patients with extremely severe burns, based on which the prediction model for bloodstream infection in patients with extremely severe burns of modeling group was established. The receiver operating characteristic (ROC) curve of the prediction model predicting the risk of bloodstream infection of patients in modeling group was drawn, and the area under the ROC curve was calculated. The sensitivity, specificity, and the best prediction probability were calculated according to the Youden index. According to the occurrence of bloodstream infection, the patients in validation group were divided into bloodstream infection subgroup (21 cases) and non-bloodstream infection subgroup (67 cases). The prediction probability >the best prediction probability of model was used as the judgment standard of bloodstream infection. The prediction model was used to predict the occurrence of bloodstream infection of patients in the two subgroups of validation group, and the incidence, specificity, and sensitivity for predicting bloodstream infection were calculated. In addition, the ROC curve of the prediction model predicting the risk of bloodstream infection of patients in validation group was drawn, and the area under the ROC curve was calculated. Results:Compared with those of non-bloodstream infection group, the mortality of patients in bloodstream infection group was significantly higher ( χ2=8.485, P<0.01), the length of hospital stay was significantly increased ( Z=-3.003, P<0.01), but there was no significant change in gender, age, or body mass index ( P>0.05). In patients of bloodstream infection group, 110 strains of bacteria were detected in blood microbial culture, among which Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii were the top three bacteria, accounting for 35.45% (39/110), 26.36% (29/110), and 13.64% (15/110), respectively. Gender, age, body mass index, total burn area, full-thickness burn area, proportion of combination of inhalation injury, proportion of implementation of mechanical ventilation, days of mechanical ventilation, days of ICU stay, outcome, length of hospital stay, and proportion of complication of bloodstream infection of patients were similar between modeling group and validation group ( P>0.05). Compared with those of non-bloodstream infection subgroup in modeling group, the total burn area, full-thickness burn area, proportion of combination of inhalation injury, proportion of implementation of mechanical ventilation, days of mechanical ventilation, and days of ICU stay of patients in bloodstream infection subgroup were significantly increased ( Z=-4.429, t=-4.045, χ2=7.845, 8.845, Z=-3.904, -4.134, P<0.01). Binary multivariate logistic regression analysis showed that total burn area, days of ICU stay, and combination of inhalation injury were the independent risk factors for bloodstream infection of patients in modeling group (odds ratio=1.031, 1.018, 2.871, 95% confidence interval=1.004-1.059, 1.006-1.030, 1.345-6.128, P<0.05 or P<0.01). In modeling group, the area under the ROC curve was 0.773 (95% confidence interval=0.708-0.838); the sensitivity was 64.6%, the specificity was 77.9%, and the best prediction probability was 0.335 when the Youden index was 0.425. The bloodstream infection incidence of patients predicted by the prediction model in validation group was 27.27% (24/88), with specificity of 82.09% (55/67) and sensitivity of 57.14% (12/21). The area under the ROC curve in validation group was 0.759 (95% confidence interval=0.637-0.882). Conclusions:The total burn area, days of ICU stay, and combination of inhalation injury are the risk factors of bloodstream infection in patients with extremely severe burns. The early prediction model for bloodstream infection risk in patients with extremely severe burns based on these factors has certain predictive value for burn centers with relatively stable treatment methods and bacterial epidemiology.