Objective To explore the value of CT derived fractional flow reserve(CT-FFR)combined with pericoronary adipose tissue(PCAT)fat attenuation index(FAI)in predicting major adverse cardiac events(MACE)in patients with obstructive coronary heart disease(CHD).Methods A total of 149 patients with obstructive CHD who underwent coronary computed tomography angiography(CCTA)examination were analyzed retrospectively.The patients were divided into MACE group and non-MACE group according to the occurrence of MACE.The clinical data,CCTA characteristics,CT-FFR,PCAT volume and FAI differences between the two groups were compared.Multiple logistic regression analysis was used to screen the independent predictors of MACE.The area under the curve(AUC)of the receiver operating characteristic(ROC)curve was used to evaluate the efficiency of a single independent predictor and its joint prediction of MACE.Results CT-FFR≤0.8 and right coronary artery(RCA)FAI(RCA-FAI)were independent risk factors for MACE in patients with obstructive CHD.The AUC of CT-FFR≤0.8 and RCA-FAI to predict MACE in patients with obstructive CHD were 0.773 and 0.766,respectively,while of their combination was 0.865.Conclusion Compared with single imaging parameters,the combined imaging parameters of CT-FFR and RCA-FAI can significantly improve the predictive efficiency of MACE in patients with obstructive CHD.

Based on the theory of surgical membrane anatomy and the abnormality of membranous structure under the condition of intra-abdominal infection, the authors creatively propose the concept of partition of intra-abdominal infection, and briefly explain the definition, content and significance, which has caused widespread resonance in the academic community. Combining the clinical practices and relevant literatures, several key issues related with diagnosis and therapy in the view of D region are discussed in depth, aiming at theoretical basis for scientific planning of treatment strategies and optimal system of diagnosis and treatment of intra-abdominal infection.

Objective:To analyze the pathogens distribution, drug resistance and risk factors of bacterial infection in patients undergoing liver transplantation for liver failure.Methods:The retrospective case-control study was conducted. The clinical data of 88 patients with liver failure who underwent liver transplantation in The First Affiliated Hospital of Xi′an Jiaotong University from July 2020 to June 2023 were collected. There were 57 males and 31 females, aged (44±9)years. Observation indicators:(1) incidence and pathogens distribution of bacterial infection in patients undergoing liver transplantation for liver failure; (2) drug resistance of bacteria; (3) risk factors of bacterial infection in patients undergoing liver transplantation for liver failure. Measurement data with normal distribution were represented as Mean± SD. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers and percentages. Univariate analysis was conducted using the chi-square test or Fisher exact probability. Multivariate analysis was conducted using the Logistic regression model. Results:(1) Incidence and pathogens distribution of bacterial infection in patients undergoing liver transplantation for liver failure. Of 88 patients, 40 cases had bacterial infection after liver transplantation, with the incidence as 45.45% and occurrence time as postoperative 18(range, 1-57)days. Of the 40 cases with bacterial infection after liver transplantation, 9 cases had single strain infection and 31 cases had mixed bacterial infection. A total of 135 strains of different pathogenic bacteria were isolated from 40 patients, 106 of which were Gram-negative bacteria, 29 were Gram-positive bacteria. Of the Gram-negative bacteria, the top 4 pathogenic bacteria were 37 strains of Acinetobacter baumannii, 35 strains of Klebsiella pneumoniae, 11 strains of Pseudomonas aeruginosa, 9 strains of Stenotrophomonas maltophilia. Of the Gram-positive bacteria, there were 22 strains of Enterococcus faecium, 3 strains of Staphylococcus aureus, 3 strains of Staphylococcus epidermidis, 1 strain of Staphylococcus haemolyticus. Of the 135 strains of pathogenic bacteria, 64 strains were isolated from respiratory tract, 26 strains were from abdomen, 23 strains were from biliary tract, 16 strains were from blood, 6 strains were from other sites. (2) Drug resistance of bacteria. Of the Gram-negative bacteria, Acinetobacter baumannii had a resistance rate of lower than 30.0% to colistin, tigacyclinei, minocycline, a resistance rate of 30.0%-50.0% to amikacin and tobramycin, a resistance rate of over 70.0% to cefotetan, ceftazidime, cefepime, cefoperazone/sulbactam, piperacillin/tazobactam, meropenem, imipenem, ciprofloxacin, cotrimoxazole, levofloxacin. Klebsiella pneumoniae showed a resistance rate of lower than 30.0% to ceftazidime/avibactam, colistin, tigacyclinei and a resistance rate of more than 70.0% to other tested antibiotics. Pseudomonas aeruginosa showed a resistance rate of more than 50.0% to meropenem, imipenem, levofloxacin and a resistance rate of lower than 50.0% to other tested antibiotics. Stenotrophomonas maltophilia showed a resistance rate of lower than 30.0% to cotrimoxazole, levofloxacin, minocycline. Klebsiella oxytoca showed a resistance rate of more than 50.0% to piperacillin/tazobactam, cefoperazone/sulbactam and a resistance rate of lower than 50.0% to other tested antibiotics. The resistance rate of Escherichia coli to amikacin, tobramycin, ceftazidime/avibactam, colistin, and tigecycline was less than 30.0%, and the resistance rate to other tested antibiotics was more than 50.0%. Of the Gram-positive bacteria, Staphylococcus aureus showed a resistance rate of 0 to tigacyclinei, vancomycin, teicoplanin, linezolid, a resistance rate of lower than 50.0% to gentamicin and ciprofloxacin, and a resistance rate of more than 50.0% to erythromycin, penicillin G, ampicillin, tetracycline, levofloxacin. Staphylococcus showed a resistance rate of more than 50.0% to erythromycin, penicillin G, oxacillin, and a resistance rate of 0 to other tested antibiotics. (3) Risk factors of bacterial infection in patients undergoing liver transplantation for liver failure. Results of multivariate analysis showed that preoperative model for end-stage liver disease score ≥30 was an independent risk factor for bacterial infection in patients undergoing liver transplantation for liver failure ( odds ratio=6.440, 95% confidence interval as 2.155-19.248, P<0.05). Conclusions:The incidence of bacterial infection in patients undergoing liver transplantation for liver failure is high, with the most common sites of respiratory tract and abdomen. The pathogenic bacteria are mainly Gram-negative bacteria, which show an extensive and high drug resistance. Preoperative model for end-stage liver disease score ≥30 was an independent risk factor for bacterial infection in patients undergoing liver transplantation for liver failure.

Objective To evaluate systematically the correlation between the expression level of human epididymis protein 4 (HE4) and lymph node metastasis of endometrial cancer (EC). Methods Computers were used to search for the literatures about the correlation between the expression level of HE4 and lymph node metastasis of EC in PubMed, Cochrane, Web of Science, CBM, CNKI, and Wanfang Database. The search time was from the database establishment to May 2021. Articles were screened in accordance with the inclusion and exclusion criteria, and the quality of literature was evaluated by Newcastle Ottawa scale. Stata12.0 was used to perform meta-analysis, and TSA was used to evaluate the sample size. Results A total of 2736 patients with EC were included in the 25 eligible studies. The results of meta-analysis showed that the expression level of HE4 in the EC-lymph-node metastasis group was significantly higher than that in the non-metastasis group (SMD=1.58, 95%CI: 1.13-2.03), and meta-regression analysis revealed that the results were related to the average age of patients in each study. TSA analysis exhibited that the total sample size of the included studies met the requirements. Conclusion The expression level of HE4 is correlated with lymph node metastasis of EC, and this correlation may be affected by age, body mass index, and other factors. The correlation weakens with the increase in age.

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. The injured organ is the main target of treatment. Organic functional reserve refers to the ability of an organ or system to return to its original physiological state following acute physiological stress or pathological injury, which has not received widespread attention. The organ reserve capacity is expected to complement the existing sepsis-related scoring system to optimize disease severity grading and evaluate prognosis. Source control, appropriate using of antibiotics and organ supporting can reduce further damage of organ reserve capacity, while nutritional therapy and rehabilitation may enhance it. Therefore, the authors believe that in further basic theoretical research and clinical practice, more attention can be paid to the monitoring and management of organ reserve capacity in sepsis, which may help improving the diagnosis and treatment of sepsis and prognosis of patients.

Enteral nutrition is an indispensable part of the treatment for critically ill patients. Various authoritative guidelines point out that early enteral nutrition is the key to improve the prognosis of disease. The key to improve and promote standardized enteral nutrition for criti-cally ill patients is the application of guidelines in the clinical practice. Based on clinical practice and theoretical basis, the authors propose a new insight into enteral nutrition and a new nutritional strategy of "individual treatment, circular evaluation, channel basis, quality-quatity balance, step-up achievement" for critically ill patients on basis of a 5W1H mindset.

Objective:To investigate the clinical characteristics and influencing factors of mortality in patients with intra-abdominal candidiasis (IAC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 203 IAC patients who were admitted to 7 medical centers from June 2018 to June 2020 were collected, including 54 cases in Sir Run Run Shaw Hospital of Zhejiang University School of Medicine, 31 cases in Fujian Medical University Union Hospital, 25 cases in Beijing Hospital, 25 cases in the First Affiliated Hospital of Xi'an Jiaotong University, 24 cases in China-Japan Friendship Hospital, 22 cases in General Hospital of Eastern Theater Command of Chinese PLA and 22 cases in Chongqing University Cancer Hospital. There were 130 males and 73 females, aged (64±15)years. Observation indicators: (1) candida infection and treatment of IAC patients; (2) analysis of influencing factors for mortality of IAC patients. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test. Univariate and multivariate analyses were performed by Logistic regression model. Results:(1) Candida infection and treatment of IAC patients: 134 cases of candida albicans were cultured in the initial abdominal drainage fluid or intraoperative abdominal specimens of 203 patients, and 49 cases were treated with fluconazole. Of 69 cases infected with non candida albicans, 13 cases were treated with fluconazole. The resistance rate of candida albicans to fluconazole was 5.91%(12/203). Of 203 patients, there were 68 cases with infections shock, 53 cases with renal failure, 84 cases with respiratory failure and 63 cases with multiple organ failure, respectively. There were 148 of 203 patients admitted to intensive care unit for 9 days(range, 3-20 days), and the total hospital stay was 28 days(range, 17-50 days). Of 203 patients, 86 cases were cured and discharged, 50 cases were improved and transferred to local hospitals, 32 cases gave up treatment and discharged automatically, 19 cases died, 16 cases had no follow-up data. The mortality was 25.12%(51/203). (2) Analysis of influencing factors for mortality of IAC patients. Results of univariate analysis showed that acute physiology and chronic health evaluation score, sequential organ failure assessment score, the Cr, bilirubin, albumin, procalcitonin, and PLT on the first day of candida positive culture, of the lowest value in a week and the highest in a week, heart disease, diabetes, infections shock, renal failure, respiratory failure, multiple organ failure, anti-fungal therapy were the related factors for mortality of IAC patients ( t=-2.322, Z=-2.550, -2.262, -4.361, t=2.085, Z=-3.734, -5.226, -2.394, -5.542, t=3.462, Z=-4.957, -5.632, 3.670, -5.805, t=3.966, Z=-3.734, -5.727, χ2=4.071, 4.638, 27.353, 18.818, 13.199, 26.251, 13.388, P<0.05). Multivariate analysis showed that the bilirubin, procalcitonin on the first day of candida positive culture and infections shock were independent risk factors for mortality of IAC patients ( odds ratio=1.021, 1.022, 6.864, 95% confidence interval as 1.010-1.033, 1.001-1.044, 1.858-25.353, P<0.05). Conclusions:The common fungus of IAC was candida albicans, and fluconazole can be used as the initial empirical treatment. The prognosis of patients with abdominal candidiasis is poor. Bilirubin, procalcitonin on the first day of candida positive culture and infections shock are indepen-dent risk factors for mortality of IAC patients.

Objective:To investigate the risk factors for abdominal infection after liver transplantation (LT).Methods:The retrospective case-control study was conducted. The clinical data of 356 patients who underwent LT in the First Affiliated Hospital of Xi′an Jiaotong University from January 2015 to December 2018 were collected. There were 273 males and 83 females, aged from 21 to 67 years, with the median age of 46 years. Observation indications: (1) abdominal infec-tion after LT and distribution of pathogens; (2) analysis of risk factors for abdominal infection after LT; (3) follow-up and survival. Follow-up was performed using outpatient examination and tele-phone interview to detect postoperative 1-year survival rate and cases of death up to June 2020. Measurement data with normal distribution were represented as Mean±SD. Measurement data with skewed distribution were described as M(range). Count data were expressed as absolute numbers or percentages. Univariate analysis was conducted using the chi-square test, t test, Mann-Whitney U test and Fisher exact probability. Multivariate analysis was done using the Logistic regression model. The Kaplan-Meier method was used to calculate sruvival time and survival rates. Log-Rank test was used for survival analysis. Results:(1) Abdominal infection after LT and distribution of pathogens: 63 of 356 recipients had abdominal infection after LT, with the overall incidence of 17.70%(63/356). Of the 63 recipients, 41 cases had abdominal infection within postoperative 2 weeks, 17 cases had multi-drug resistant organism infection. A total of 116 strains of bacteria were isolated from 63 recipients with abdominal infection, 52 of which were gram-negative bacteria, 48 were gram-positive bacteria, 16 were fungi. (2) Analysis of risk factors for abdominal infection after LT: results of univariate analysis showed that preoperative model for end-stage liver disease (MELD) score, preoperative serum albumin, preoperative leukocytes, preoperative prothrombin time, preoperative alanine aminotransferase, preoperative aspartate aminotransferase, operation time, volume of intraoperative blood loss, days of postoperative antibiotic use, postoperative renal failure, postoperative delayed graft function,duration of postoperative intensive care unit stay were related factors for abdominal infection after LT ( Z=-2.456, t=-1.982, Z=-3.193, -2.802, -2.336, -2.276, -2.116, -3.217, χ2=15.807, 10.395, 6.750, Z=-4.468, P<0.05). Liver retransplantaiton and postoperative bile leakage were related factors for abdominal infection after LT ( P<0.05). Results of multivariate analysis showed that preoperative MELD score>20 and liver retransplantation were independent risk factors for abdominal infection after LT ( odds ratio=2.871, 12.875, 95% confidence interval as 1.106-7.448, 1.290-128.521, P<0.05). (3) Follow-up and survival: 356 recipients were followed up for 1-66 months, with a median follow-up time of 32 months. The postoperative 1-year overall survival rate of 63 recipients with abdominal infection and 293 recipients without abdominal infection were 84.60% and 97.03%, respectively, showing a significant difference ( χ2=11.660, P<0.05). During the follow-up, 58 recipients died. Conclusion:Preoperative MELD score>20 and liver retransplantation are independent risk factors for abdominal infection after LT.

Objective:To investigate the prognostic value of preoperative red blood cell distribution width (RDW) for hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 025 HCC patients who were admitted to three medical centers (586 in the First Affiliated Hospital of Xi'an Jiaotong University, 248 in the Second Affiliated Hospital of Xi'an Jiaotong University and 191 in the Qinghai University Affiliated Hospital) between April 2002 and August 2017 were collected. There were 809 males and 216 females, aged (54±11)years, with a range from 16 to 83 years. The average coefficient of variation of RDW (RDW-CV) of 1 025 patients was 14.3%. Of 1 025 patients, 347 cases had high RDW of RDW-CV >14.3%, and 678 had low RDW of RDW-CV ≤14.3%. Observation indicators: (1) clinico-pathological data of HCC patients; (2) influencing factors for prognosis of HCC patients; (3) follow-up and survival. (4) stratified analysis of independent influencing factors. Follow-up was performed by outpatient examination, telephone interview or internet interview to detect postoperative survival of patients up to October 2017. Measurment data with normal distribution were represented as Mean±SD, and measurment data with skewed distribution were described as M (range). Count data were described as absolute numbers, and comparison between groups was analyzed using the chi-square test. The Graphpad Prism 7.0 was used to draw survival curves, and Log-rank test was used for survival analysis. Univariate and multivariate analyses were performed using the COX proportional hazard model. Results:(1) Clinicopathological data of HCC patients: cases with age ≤70 years or >70 years, cases without cirhhosis or with cirhhosis , cases of Child-Pugh grade A or Child-Pugh grade B or C, cases with the level of alpha fetoprotein (AFP) ≤200 μg/L or >200 μg/L, cases with single tumor or multiple tumors were 313, 34, 152, 186, 161, 53, 158, 143, 186, 109 for high RDW patients, versus 641, 37, 359, 310, 415, 48, 367, 227, 547, 131 for low RDW patients, respectively, showing significant differences in above indicators between the two groups ( χ2=6.709, 6.787, 23.906, 7.114, 34.375, P<0.05). (2) Influencing factors for prognosis of HCC patients: results of univariate analysis showed that age, Child-Pugh grade, AFP, RDW-CV, tumor diameter, the number of tumors were related factors for prognosis of patients ( hazard ratio=1.388, 1.432, 1.534, 1.455, 2.813, 1.505, 95% confidence interval as 1.004-1.920, 1.086-1.887, 1.263-1.864, 1.211-1.748, 2.293-3.450, 1.173-1.932, P<0.05 ). Results of multivariate analysis showed that age, RDW-CV, tumor diameter and the number of tumors were independent factors for prognosis of patients ( hazard ratio=1.020, 1.340, 2.427, 1.438, 95% confidence interval as 1.007-1.032, 1.027-1.749, 1.801-3.272, 1.057-1.956, P<0.05). (3) Follow-up and survival: 1 025 patients were followed up for 1-124 months, with a median follow-up time of 25 months. The median survival time was 23 months for high RDW patients, versus 44 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=11.640, P<0.05). (4) Stratified analysis of independent influencing factors: the results of stratified analysis of 3 independent influencing factors including age, tumor diameter and the number of tumors showed that in the 954 patients with age ≤70 years, the median survival time was 25 months for high RDW patients, versus 48 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=14.030, P<0.05). In the 71 patients with age >70 years, the median survival time was 11 months for high RDW patients, versus 29 months for low RDW patients, showing no significant difference in the overall survival between the two groups ( χ2=0.933, P>0.05). In the 459 patients with tumor diameter ≤5 cm, the median survival time was 44 months for high RDW patients, versus 76 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=8.660, P<0.05). In the 487 patients with tumor diameter >5 cm, the median survival time was 14 months for high RDW patients, versus 18 months for low RDW patients, showing no significant difference in the overall survival between the two groups ( χ2=2.950, P>0.05). In the 733 patients with single tumor, the median survival time was 20 months for high RDW patients, versus 48 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=13.530, P<0.05). In the 240 patients with multiple tumors, the median survival time was 15 months for high RDW patients, versus 20 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=6.820, P<0.05). Conclusions:Preoperative RDW can be used as a predictive index for prognosis of HCC patients, and patients with high RDW have poorer prognosis. RDW have better predictive value in patients with age ≤70 years or tumor diameter ≤5 cm.

The outbreak of coronavirus disease 2019 (COVID-19) has greatly affected the social and economic aspects of the domestic and overseas communities. The Diagnosis and Treatment Program of COVID-19 was released in time by the National Health Commission. Combining the analysis of the epidemic situation, in-depth study of the disease and the practice of clinical work, the experts were organized to make timely amendments to the treatment plan to ensure that the anti-epidemic work was carried out smoothly. In this paper, based on the comparative analysis of the seven diagnostic and therapeutic schemes, as well as the current research progress, this article explains the process of people’s understanding of the etiology, epidemiology, clinical manifestations, diagnosis and treatment of COVID-19.