Objective To explore the correlation between the expression level of interferon gamma(IFN-γ)and the severity of patients with septic shock and its prognostic value.Methods The clinical data and serum of 96 septic shock patients admitted to the Department of Critical Care Medicine,the First Affiliated Hospital of Guangxi Medical University from March 2022 to August 2023 were collected,and divided into survival group and death group according to the 28-day outcome;collected at the same time Sera from 30 healthy people undergoing physi-cal examination during the same period served as the control group.The enzyme-linked immunosorbent(ELISA)method was used to detect the expression levels of IFN-γ in the three groups,and the expression levels of IFN-γ and various clinical data between the groups were analyzed.Results The serum IFN-γ expression level of patients with septic shock was lower than that of healthy people undergoing physical examination,212.80(151.11,255.79)ng/L compared with 343.37(314.5,427.95)ng/L,P<0.01.Among the 96 cases of septic shock,There were 54 cases in the survival group and 42 cases in the death group.The clinical data of the two groups were com-pared.The gender,smoking history,SBP,DBP,SI,Lac,IL-6,IFN-γ,PCT,SOFA score,and APACHEⅡscore of the two groups of patients were compared.The difference is statistically significant(P<0.01).Logistic regression analysis showed that decreased expression of Lac,IFN-γ,and APACHEⅡ score were independent risk factors for death in patients with septic shock.[Odds ratio(OR)and 95%confidence interval(95%CI)were 6.491(1.404～30.004)respectively.0.954(0.954～0.999),3.476(1.210～9.984),P<0.05].The Spearman correlation analysis of INF-γ,Lac and APACHEⅡ showed a negative correlation,and the correlation coefficients were-0.38 and-0.35 respectively.Drawing the ROC curves of Lac,IFN-γ,and APACHEII,the AUCs of the three were 0.847,0.869,and 0.833 respectively.The AUC of the three joint predictions was 0.978.The joint prediction value of the three was better than that of a single indicator,P<0.001.Conclusion The decrease in IFN-γ expression level and the severity of septic shock patients have good prognostic value.

Outpatient information management system is an important part of hospital information system,which plays an important role in hospital management,patient treatment,medical insurance reimbursement and settlement.This study integrated the application modes of big data,cloud computing,Internet of things and other cutting-edge technologies of artificial intelligence,focused on the intelligent decision support and whole-process simplified management of the diagnosis and treatment behavior of clinical TCM physicians,and developed a cloud intelligent TCM outpatient system for primary medical care.The system has intelligent medical functions such as intelligent prescription monitoring driven by the rule engine and intelligent recommendation of traditional Chinese medicine knowledge.It seamlessly connects with the intelligent four-diagnosis instrument for information collection and medical order input,and realizes the cloud storage,computing,distribution,management,service and outpatient process,multi-directional and convenient management mode.

Objective:To investigate the feasibility and safety of endoscopic ultrasound (EUS)-guided intrahepatic portal vein puncture through jugular vein implantation in transjugular intrahepatic portosystemic shunt (TIPS).Methods:As research subjects, 5 beagle dogs were anesthetized, and EUS was placed through the jugular vein to observe the intrahepatic portal vein. Under real-time guidance, the portal vein was punctured and a stent was placed to complete the TIPS.Results:Among the 5 beagles, EUS was unable to be placed in 1 due to the small diameter of the external jugular vein, and it was implanted successfully in 4 others through the external jugular vein who underwent real-time guidance of portal vein puncture. Subsequent stent placement and balloon dilation were completed. All animals survived after the experiment.Conclusion:EUS-guided intrahepatic portal vein puncture through jugular vein implantation is safe and feasible in TIPS.

Objective:To comprehensively understand the operational status and existing problems of the neurosurgery professional training bases for standardized residency training in Guangdong Province.Methods:According to the scoring rules of "Standardized Residency Training Evaluation Indicators—Surgery (Neurosurgery) Professional Base" formulated by the Post-Graduation Medical Education Neurosurgery Professional Committee of the Chinese Medical Doctor Association, 28 training bases were supervised and evaluated. The scoring results of the supervision of 28 neurosurgery training bases were collected, and the training bases were divided into two categories according to the traditional teaching history, 6 affiliated hospitals of traditional medical schools and 22 non-traditional affiliated/teaching hospitals. GraphPad 5.0 software was used for statistical analysis of the 14 core indicators, and t-test, variance analysis and Chi-square test were used for analysis. Results:The results showed that there was a statistically significant difference in the compliance rate of 14 core indicators between traditional teaching hospitals and non-traditional teaching hospitals ( P = 0.003), skill operation and type and number of surgeries ( P = 0.041) and student rotation plan ( P = 0.012). The differences were also statistically significant. Conclusion:This study reveals that the comprehensive management ability of training bases in traditional teaching hospitals is significantly better than that in non-traditional teaching hospitals. Additionally, it's suggested to strengthen the construction of professional bases, enhance the institutionalized management of bases, and thus realize the homogenization training of neurosurgery residents.

Objective:To investigate the impact of lifestyle index (LSI) on serum uric acid levels in young and middle-aged men.Methods:This was a cross sectional study. A total of 8 067 subjects underwent check-up in Taihu Sanatorium of Jiangsu Province from March 2020 to June 2021 were enrolled, average age were(46.46±8.81) years. According to age, subjects were divided into young male group (18-44 years old, n=3 269) and middle-aged male group (45-60 years old, n=4 798). Height, weight, body mass index, alcohol drinking, smoking, diet, exercise, fasting blood glucose, total cholesterol, triglycerides, high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol(LDL-C), serum uric acid and other data in all cases were measured and recorded. Results:The serum uric acid level in allsubjects was (376.80±74.43)μmol/L and the prevalence of hyperuricemia was 25.7%.The serum uric acid level in the young male group was higher than that in the middle-aged male group [(381.86±74.32)μmol/L vs (373.34±74.32)μmol/L, P<0.001]. The prevalence of hyperuricemia in the young male group was higher than that in the middle-aged male group (27.4% vs 24.5%), and the difference was statistically significant ( P<0.001). With the improvement of LSI scores, the serum uric acid levels in young and middle-aged men showed a decreasing trend ( P<0.01). Logistic regression analysis showed that after adjusting for age, fasting blood glucose, total cholesterol, triglyceride, HDL-C, LDL-C, hypertension, and diabetes, LSI was an independent factor for serum uric acid levels in young and middle-aged men. The risk of hyperuricemia in young and middle-aged male decreased ( OR 0.83 and 0.84, respectively, P<0.01) for every 1-point increase in LSI. Exercise and body mass index were independently associated with hyperuricemia in the young male group ( OR 0.83 and 0.54, respectively, P<0.05). Exercise, body mass index, and alcohol drinking were independently associated with hyperuricemia in the middle-aged male group ( OR 0.85, 0.51 and 0.65, respectively, P<0.05). Conclusion:LSI is an independent factor associated with hyperuricemia in young and middle-aged men and a healthy lifestyle has a protective effect on serum uric acid levels in young and middle-aged men.

BACKGROUND: Perioperative treatment has become an increasingly important aspect of the management of patients with non-small cell lung cancer (NSCLC). Small-scale clinical studies performed in recent years have shown improvements in the major pathological remission rate after neoadjuvant therapy, suggesting that it will soon become an important part of NSCLC treatment. Nevertheless, neoadjuvant immunotherapy may be accompanied by serious adverse reactions that lead to delay or cancelation of surgery, additional illness, and even death, and have therefore attracted much attention. The purpose of the clinical recommendations is to form a diagnosis and treatment plan suitable for the current domestic medical situation for the immune-related adverse event (irAE). METHODS: This recommendation is composed of experts in thoracic surgery, oncologists, thoracic medicine and irAE related departments (gastroenterology, respirology, cardiology, infectious medicine, hematology, endocrinology, rheumatology, neurology, dermatology, emergency section) to jointly complete the formulation. Experts make full reference to the irAE guidelines, large-scale clinical research data published by thoracic surgery, and the clinical experience of domestic doctors and publicly published cases, and repeated discussions in multiple disciplines to form this recommendation for perioperative irAE. RESULTS: This clinical recommendation covers the whole process of prevention, evaluation, examination, treatment and monitoring related to irAE, so as to guide the clinical work comprehensively and effectively. CONCLUSIONS Perioperative irAE management is an important part of immune perioperative treatment of lung cancer. With the continuous development of immune perioperative treatment, more research is needed in the future to optimize the diagnosis and treatment of perioperative irAE.

Objective:By comparing the volume% (V% GGOs) of ground glass opacities (GGOs) in high resolution CT (HRCT) of patients with acute paraquat (PQ) poisoning at different time points, its value in the early prognosis of patients with PQ poisoning was analyzed. Methods:The data of patients with PQ poisoning admitted to Department of Respiratory and Critical Care Medicine of Chinese Armed Police Forces from June 2017 to December 2018 were prospectively analyzed. According to the follow-up results after poisoning at 90 days, the patients were divided into the survival group and death group. Three-dimensional reconstruction technology was used to calculate the change of V% GGOs on the 3rd, 5th, and 7th day after poisoning. Chi-square test and One-Way ANOVA of variance were used to compare sex, age, and time of poisoning between the two groups. The Student's t test was used to compare V% GGOs between the two groups at different time points. The receiver operating characteristic curve (ROC) was used to determine the guiding significance of the indicator on the prognosis of patients with PQ poisoning at different time points. Results:A total of 89 patients with PQ poisoning were included in the study, 49 in the survival group and 40 in the death group. There were no statistical differences between the two groups of patients in sex, age, poisoning time, oxygenation index, mean arterial pressure, total bilirubin, blood urea nitrogen, alanine aminotransferase, and aspartate aminotransferase at admission (all P>0.05). The blood PQ concentration (mg/L) in the death group was significantly higher than that in the survival group (6.35 ±0.51 vs 3.49 ±0.21, P= 0.013). On the 3rd, 5th and 7th day after admission, the V% GGOs was significantly higher than that in the survival group (3rd day: 0.062±0.020 vs 0.049±0.007, P= 0.013; 5th day: 0.292±0.130 vs 0.123±0.044, P<0.01; 7th day: 0.334±0.116 vs 0.138±0.034, P=0.019). The area under the ROC curve showed that the prognosis AUC of the 7th day V% GGOs after poisoning was 0.967, the sensitivity was 100% and the specificity was 83.33% when the threshold was 0.16, but the time point was late. On the 5th day after poisoning, the V% GGOs judged the prognosis AUC was 0.842, the sensitivity was 82.35% and the specificity was 89.47% when the threshold was 0.14. On the 3rd day after poisoning, the V% GGOs judged the prognosis AUC was 0.708, the sensitivity was 55.00% and the specificity was 78.95% when the threshold was 0.05. At this time, the sensitivity and specificity were lower than those on the 5th and 7th day. Conclusions:The proportion of ground glass opacity volume in patients with PQ poisoning can be used to evaluate their prognosis, and the best time point is the 5th day after poisoning.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

Diabetes kidney disease (DKD) is a serious renal complication of diabetes mellitus, also the main cause of end-stage renal disease (ESRD). Early diagnosis and treatment are very important. Mass spectrometry (MS) can detect biomarkers in blood, urine, tissue and other samples of DKD patients, which has become a research hotspot, and its great significance in early diagnosis, pathogenic research, treatment effect and prognostic evaluation.

Objective:To analyze the influencing factors of prognosis of patients with diabetic kidney disease (DKD) in intensive care unit (ICU), and analyze their predictive value.Methods:Based on the inpatient information of more than 50 000 patients from June 2001 to October 2012 in the latest version of American Intensive Care Medical Information Database (MIMIC-Ⅲ v1.4), the data of DKD patients were screened out, including gender, age, body weight, comorbidities [hypertension, coronary heart disease, chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD)], sequential organ failure assessment (SOFA) score, the length of ICU stay, the incidence of mechanical ventilation, vasoactive drugs and renal replacement therapy during the ICU hospitalization, complications of other diseases [ventilator-associated pneumonia (VAP), urinary tract infection (UTI), diabetic ketoacidosis (DKA), acute myocardial infarction (AKI)] and prognosis of ICU. At the same time, the blood routine and biochemical data of the first 24 hours in ICU and the extremum values during the ICU hospitalization were collected. Multivariate Logistic regression analysis was used to screen the prognostic factors of DKD patients in ICU, and receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of death risk factors.Results:416 DKD patients were screened out, 20 patients were excluded due to data missing, and finally 396 patients were enrolled, including 220 survival patients and 176 dead patients. Compared with the survival group, the patients in the death group were older (years old: 57.13±13.04 vs. 52.61±14.15), with lower rates of hypertension and CKD (11.4% vs. 23.6%, 26.7% vs. 41.4%), higher SOFA scores and baseline values of blood urea nitrogen (BUN), serum creatinine (SCr) and blood K + [SOFA score: 5.86±2.79 vs. 4.49±2.56, BUN (mmol/L): 18.4±10.0 vs. 14.8±9.0, SCr (μmol/L): 387.2±382.8 vs. 284.6±244.9, K + (mmol/L): 4.64±0.99 vs. 4.33±0.86], and longer ICU stay [days: 2.65 (1.48, 5.21) vs. 2.00 (1.00, 4.00)], and the differences were statistically significant (all P < 0.01). Further analysis of laboratory tests extremum values during ICU hospitalization showed that the maximum (max) and minimum (min) values of white blood cell (WBC), BUN and SCr, and K +max in the death group were significantly higher than those in the survival group [WBC max (×10 9/L): 17.3±10.3 vs. 14.5±7.3, WBC min (×10 9/L): 7.9±4.1 vs. 6.7±2.7, BUN max (mmol/L): 23.8±10.4 vs. 18.8±10.2, BUN min (mmol/L): 11.0±6.6 vs. 9.3±6.6, SCr max (μmol/L): 459.7±392.5 vs. 350.1±294.4, SCr min (μmol/L): 246.6±180.3 vs. 206.9±195.4, K +max (mmol/L): 5.35±0.93 vs. 5.09±0.99], and the minimum values of hemoglobin (Hb min) and glucose (Glu min) were significantly lower than those in the survival group [Hb min (g/L): 87.4±14.5 vs. 90.6±16.5, Glu min (mmol/L): 4.0±1.7 vs. 4.6±2.0], and the differences were statistically significant (all P < 0.05). The incidences of mechanical ventilation and vasoactive drugs during ICU hospitalization in the death group were significantly higher than those in the survival group (37.5% vs. 24.1%, 32.4% vs. 20.0%, both P < 0.01), and the incidences of UTI and AMI in the death group were significantly higher than those in the survival group (29.5% vs. 19.1%, 8.5% vs. 3.6%, both P < 0.05). Multivariate Logistic regression analysis showed that age [odds ratio ( OR) = 1.019, 95% confidence interval (95% CI) was 1.003-1.036, P = 0.023], SOFA score ( OR = 1.142, 95% CI was 1.105-1.246, P = 0.003), WBC min ( OR = 1.134, 95% CI was 1.054-1.221, P = 0.001) and BUN max ( OR = 1.010, 95% CI was 1.002-1.018, P = 0.018) were risk factors of death of DKD patients in ICU. ROC curve analysis showed that the area under ROC curve (AUC) of combination of risks factors of death was 0.706, the sensitivity was 61.6%, and the specificity was 73.2%. Conclusions:In order to prevent DKD patients from getting worse in ICU, we should pay close attention to the blood biochemical indexes, especially the renal function indexes, and give timely treatment. At the same time, we should actively prevent the occurrence of complications such as infection and cardiovascular disease.