Thoracolumbar trauma, including fractures, dislocations and spinal cord injuries, often result from high-energy injuries such as traffic accidents and falls from heights. It not only causes severe pain and restricted movement for patients, but also leads to neurological damage and even permanent disability. Currently, the diagnosis and treatment of thoracolumbar trauma are faced with many problems, such as possible missed diagnosis and misdiagnosis, lack of individualized and standardized treatment plans, and lack of objective and quantitative metrics for postoperative assessment. Artificial intelligence (AI) technology offers innovative ideas to these problems. Among them, the core AI technology such as machine learning (ML), deep learning (DL), computer vision, and robotics has demonstrated outstanding capabilities in medical image analysis, clinical decision support, etc., which can significantly improve the diagnostic precision, surgical planning efficiency, and postoperative management level of thoracolumbar trauma. At present, application of AI technology in cross-modal data integration, clinical decision support, and long-term efficacy prediction in the field of thoracolumbar trauma remains to be systematically sorted out. To this end, the authors reviewed the research progress of AI technology in the diagnosis, treatment, and postoperative management of thoracolumbar trauma, providing a reference for a wide application of AI technology in the management of thoracolumbar trauma.

Thoracolumbar trauma, including fractures, dislocations and spinal cord injuries, often result from high-energy injuries such as traffic accidents and falls from heights. It not only causes severe pain and restricted movement for patients, but also leads to neurological damage and even permanent disability. Currently, the diagnosis and treatment of thoracolumbar trauma are faced with many problems, such as possible missed diagnosis and misdiagnosis, lack of individualized and standardized treatment plans, and lack of objective and quantitative metrics for postoperative assessment. Artificial intelligence (AI) technology offers innovative ideas to these problems. Among them, the core AI technology such as machine learning (ML), deep learning (DL), computer vision, and robotics has demonstrated outstanding capabilities in medical image analysis, clinical decision support, etc., which can significantly improve the diagnostic precision, surgical planning efficiency, and postoperative management level of thoracolumbar trauma. At present, application of AI technology in cross-modal data integration, clinical decision support, and long-term efficacy prediction in the field of thoracolumbar trauma remains to be systematically sorted out. To this end, the authors reviewed the research progress of AI technology in the diagnosis, treatment, and postoperative management of thoracolumbar trauma, providing a reference for a wide application of AI technology in the management of thoracolumbar trauma.

Prostate cancer （PCa） is one of the most common malignant tumors in the male genitourinary system. The phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway is a carcinogenic pathway responsible for the migration， proliferation， and drug resistance of various cancers. In recent years， as the research on the pathogenesis of PCa is deepening， the role of the PI3K/Akt signaling pathway in the development of PCa has attracted much attention. Traditional Chinese medicine， comprehensively regulating multiple components， targets， and pathways， has shown great potential in the treatment of PCa. This article reviews the research progress of traditional Chinese medicine targeting the PI3K/Akt signaling pathway in the treatment of PCa and discusses the expression of the PI3K/Akt signaling pathway in PCa， which involves inhibiting apoptosis of PCa cells， promoting the cell cycle， invasion， and migration of PCa cells， promoting tumor tissue angiogenesis， and mediating the androgen receptor. Additionally， it summarizes the single Chinese medicines that target and regulate this pathway， including Hedyotis diffusa， Taxus chinensis， Bovisc Alculus， and Atractylodis Macrocephalae Rhizoma. The active ingredients of these Chinese medicines mainly include flavonoids， alkaloids， terpenes， polyphenols， lignans， and other compounds. The Chinese medicine compound prescriptions targeting the PI3K/Akt pathway mainly include Wenshen Sanjie prescription， Jianspi Lishi Huayu prescription， Yishen Tonglongtang， Qilan prescription， Xihuangwan， and modified Shenqi Dihuangtang. This review is expected to provide a scientific basis for deeply understanding the pathogenesis of PCa and identifying potential therapeutic targets， as well as to provide new ideas for clinical research and drug development for PCa.

Objective:To analyze the clinical characteristics of ulcerative colitis (UC) in Han and Uyghur patients in Xinjiang Uygur Autonomous Region.Method:Data of UC patients hospitalized at the People′s Hospital of Xinjiang Uygur Autonomous Region from January 2015 to June 2023 were retrospectively collected, with a focus on the differences in basic information, extraintestinal manifestations and biochemical laboratory indicators between Han and Uyghur patients.Results:A total of 315 UC patients were included, with 172 Han cases (54.6%) and 143 Uyghur cases (45.4%) . Compared to the Han group, the Uyghur group had a higher proportion of females, a lower average age, and lower rates of smoking and alcohol consumption (all P<0.05) . The Uyghur group showed a higher prevalence of hepatobiliary diseases and joint injuries as extraintestinal manifestations, although the differences were not statistically significant ( P all>0.05) . The Han group had a statistically significant higher level of intraepithelial neoplasia (χ 2 = 5.075, P<0.05) . The Uyghur group exhibited significantly higher levels of white blood cell count, platelet count, neutrophils, lymphocyte count, globulin, C-reactive protein, erythrocyte sedimentation rate, highly sensitive C-reactive protein, anti-neutrophil cytoplasmic antibodies, and H.pylori antibodies compared to the Han group (all P<0.05) . Both Han and Uyghur UC patients achieved satisfactory clinical efficacy. Conclusion:Uyghur UC patients have distinct characteristics, including a younger age of onset and more severe disease course, yet appropriate treatment can lead to satisfactory clinical outcomes.

Objective:To analyze the clinical characteristics of ulcerative colitis (UC) in Han and Uyghur patients in Xinjiang Uygur Autonomous Region.Method:Data of UC patients hospitalized at the People′s Hospital of Xinjiang Uygur Autonomous Region from January 2015 to June 2023 were retrospectively collected, with a focus on the differences in basic information, extraintestinal manifestations and biochemical laboratory indicators between Han and Uyghur patients.Results:A total of 315 UC patients were included, with 172 Han cases (54.6%) and 143 Uyghur cases (45.4%) . Compared to the Han group, the Uyghur group had a higher proportion of females, a lower average age, and lower rates of smoking and alcohol consumption (all P<0.05) . The Uyghur group showed a higher prevalence of hepatobiliary diseases and joint injuries as extraintestinal manifestations, although the differences were not statistically significant ( P all>0.05) . The Han group had a statistically significant higher level of intraepithelial neoplasia (χ 2 = 5.075, P<0.05) . The Uyghur group exhibited significantly higher levels of white blood cell count, platelet count, neutrophils, lymphocyte count, globulin, C-reactive protein, erythrocyte sedimentation rate, highly sensitive C-reactive protein, anti-neutrophil cytoplasmic antibodies, and H.pylori antibodies compared to the Han group (all P<0.05) . Both Han and Uyghur UC patients achieved satisfactory clinical efficacy. Conclusion:Uyghur UC patients have distinct characteristics, including a younger age of onset and more severe disease course, yet appropriate treatment can lead to satisfactory clinical outcomes.

Objective:To report the use of right internal mammary artery (RIMA) in coronary artery bypass grafting (CABG) in our center, summarize the purpose and configuration of RIMA graft in CABG.Methods:All clinical data of coronary artery bypass grafting patients in our center performed in the past 6 years were collected and analyzed retrospectively. Those patients were divided into RIMA group and non-RIMA group according to the use of RIMA. Propensity score matching had been performed before these data was compared. Surgical technique of use of RIMA was summarized.Results:1 537 CABG had been performed from January 1st, 2016 to October 31st, 2021 in our center. Of which, 128 cases were allocated to RIMA group. After propensity score matching having been performed, there was no difference in baseline data between the RIMA group and the non-RIMA group (128 cases), and the RIMA group had more grafts and arterial grafts than the non-RIMA group. The postoperative drainage volume in the RIMA group was more than that of the non-RIMA group. However, there was no statistical significance in difference of transfusion between two groups. Also, there was no difference in postoperative mechanical ventilation time, ICU time and length of stay postoperatively. The postoperative complications were similar between two groups. Postoperative patency rate of the RIMA graft was as high as 95.2%. The target vessels of RIMA included left anterior descending branch (45 cases), diagonal branch (19 cases), intermediate branch (12 cases). obtuse marginal or circumflex branch (16 cases), posterior descending branch (5 cases) and right coronary trunk (18 cases). 41 RIMA used as free grafts, 87 used as in situ grafts, of which 19 RIMA need lengthened by other graft vessels.Conclusion:The patency rate of RIMA graft is high and the application of RIMA do not increase the surgical risk significantly. However, there are versatile contour of RIMA grafts. It can be used as artery graft in selected patients.

【Objective】 To analyze the composition of urinary calculi in Longnan, Gansu province, and the relationship between the composition and clinical characteristics of patients, so as to provide reference for the prevention and treatment of this disease. 【Methods】 The composition of 500 cases of urinary calculi hospitalized in our department during Apr. 2021 and Feb.2023 were analyzed using the infrared spectrum stone composition analyzer. The clinical characteristics of the patients were evaluated and analyzed. 【Results】 The male-to-female ration of patients was 2.70∶1. Most patients aged 21 to 60 years (437, 87.4%). Most cases were ureteral calculi (72.8%), followed by renal calculi (22.2%), and bladder calculi (5.0%). There were 166 cases of calcium oxalate calculi, 293 cases of calcium oxalate + carbonated apatite calculi, 24 cases of calcium oxalate + carbonated apatite + hydroxyl apatite calculi, 4 cases of calcium oxalate + calcium bicarbonate calculi, 7 cases of urate calculi, 6 cases of carbonated apatite + struvite calculi. Oxalate calculi were the most common in all age groups, and urate calculi were the most common in the 21 to 40 age group. Calcium oxalate calculi were most common in the ureter (127, 76.5%), significantly higher than in other sites (χ²=3.222, P=0.020). Calcium oxalate + calcium hydrogen phosphate calculi was the least common in the bladder, significantly different from the other parts (χ²=2.092, P=0.037). Magnesium ammonium phosphate hexahydrate and/or calcium carbonate or calcium oxalate calculi were the most common in the kidney (50.0%), significantly different from the other parts (χ²=9.448, P=0.007). 【Conclusion】 In Longnan area, the incidence of urinary calculi is significantly higher in male than in female. Ureteral calculi are mainly composed of calcium oxalate + carbonated apatite and calcium oxalate. According to different risk factors, individual prevention programs should be developed.

Objective To investigate the association of energy metabolic markers with the risk of spontaneous bacterial peritonitis (SBP) in patients with decompensated hepatitis B virus-related liver cirrhosis (HBV-LC). Methods A retrospective analysis was performed for the clinical data of the patients with decompensated HBV-LC who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from November 2017 to November 2019, and baseline clinical parameters and energy metabolic markers were compared between the patients with SBP and those without SBP within 2 weeks after admission. A multivariate logistic regression analysis was performed to investigate the risk factors for SBP. The t -test was used for comparison of normally distributed continuous data between two groups, and the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between two groups; the Fisher's exact test was used for comparison of categorical data between two groups. The receiver operating characteristic (ROC) curve was plotted to evaluate the diagnostic efficiency of the newly established logistic regression model, and with the corresponding point of Youden index as the cut-off value, the DeLong test was used to compare the area under the ROC curve (AUC). Results A total of 50 patients with decompensated HBV-LC were included, among whom 23 (46%) developed SBP within 2 weeks after admission and 27 (54%) had no SBP during hospitalization. Compared with the non-SBP patients, the SBP patients had significantly lower triglyceride, prealbumin, and prothrombin time activity (PTA) and significantly higher international normalization ratio, C-reactive protein (CRP), and Model for End-Stage Liver Disease score (all P < 0.05). Comparison of baseline energy metabolic markers showed that compared with the non-SBP patients, the SBP patients had significantly lower respiratory quotient (RQ) [0.79(0.76-0.86) vs 0.85(0.79-0.91), P =0.041] and carbohydrate oxidation (CHO) rate [20.50%(15.25%-41.05%) vs 41.6%(22.25%-68.05%), P =0.041]. The multivariate logistic regression analysis showed that PTA was an independent risk factor for SBP in the patients with decompensated HBV-LC during hospitalization (odd ratio=0.004, P =0.008), and the regression model established based on the variables including PTA, CRP, RQ, and CHO had an AUC of 85.0% and a cut-off value of 0.60 at the maximum Youden index, with a specificity of 85.19% and a sensitivity of 73.91%, suggesting that this model had a better discriminatory ability than CRP (AUC=74.5%, P =0.049) and procalcitonin (AUC=56.4%, P < 0.01). Conclusion There are significant reductions in the energy metabolic markers RQ and CHO in the patients with decompensated HBV-LC who develop SBP within a short term, and their combination with PTA, CRP, and CHO/RQ ratio can help clinicians identify the patients at a high risk of SBP in the early stage and enhance nutrition support for such patients.

Objective To investigate the risk factors for short-term prognosis in patients with HBV-related acute-on-chronic liver failure (ACLF). Methods A retrospective analysis was performed for the clinical data of 119 patients with HBV-related ACLF who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from October 2019 to October 2020, and according to their survival status on day 90, they were divided into death group and survival group. The patients were given antiviral therapy with entecavir or tenofovir. Related clinical data were collected, including alanine aminotransferase (ALT), aspartate aminotransferase, cholinesterase (ChE), albumin (Alb), cholesterol, alpha-fetoprotein, and HBV DNA at baseline, as well as the incidence rate of important complications. Model for End-Stage Liver Disease (MELD) score was also calculated. The t -test or the Mann-Whitney U test was used for comparison of continuous data between two groups, and the chi-squared test was used for comparison of categorical data between two groups; a logistic regression analysis was used to investigate the influencing factors for the 90-day prognosis of patients with HBV-related ACLF and establish a new predictive model; the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficiency of the new model in predicting the prognosis of HBV-related ACLF. Results Of all patients, 33 died within 90 days, resulting in a mortality rate of 27.7%. There were significant differences between the survival group and the death group in age, ALT, Alb, ChE, MELD score, and incidence rates of hepatic encephalopathy, primary peritonitis, and hepatorenal syndrome (all P < 0.05). The logistic regression analysis showed that baseline hepatic encephalopathy (odds ratio [ OR ]=10.404, 95% confidence interval [ CI ]: 2.522-42.926, P =0.001), serum Alb at baseline ( OR =0.853, 95% CI : 0.764-0.952, P =0.005), and MELD score at baseline ( OR =1.143, 95% CI : 1.036-1.261, P =0.008) were independent predictive factors for the short-term prognosis of patients with HBV-related ACLF. A new predictive model was established based on the combination of these three indices, and the ROC curve analysis showed that this new model had an area under the curve of 0.833, while MELD score had an area under the ROC curve of 0.672. Conclusion As for the evaluation of the 90-day prognosis of patients with HBV-related ACLF, the new prognostic model established based on hepatic encephalopathy, Alb, and MELD score has a better predictive value than MELD score alone.

Objective:To investigate and analyze the energy metabolism characteristics and the correlation between energy metabolism and the risk of secondary bacterial infection in patients with hepatitis B virus-related chronic liver disease (HBV-CLD).Methods:Data of 183 cases admitted to the Mengchao Hepatobiliary Hospital of Fujian Medical University from November 2017 to November 2020 were retrospectively analyzed. 79 cases of chronic hepatitis B, 51 cases of hepatitis B-related liver cirrhosis, and 53 cases of hepatitis B-related liver failure were collected. Among them patients with liver failure and decompensated liver cirrhosis were defined as severe liver disease group. The Quark RMR indirect calorimetry (COSMED Corporation, Italy) was used to exam the patients' energy metabolism condition, and the incidences of secondary bacterial infection of the patients during hospitalization were recorded. Shapiro-Wilk test and normal QQ plot were used to analyze the normal distribution of continuous variable data, which was consistent with the normal distribution and was described by mean ± standard deviation. In addition, if it did not conform to the normal distribution, the median and interquartile distance were used to describe it. Levene’s test was used to test the homogeneity of variance of the data, which was consistent with the normal distribution. The t-test was used to compare the means of the two groups of samples. One-way analysis of variance was used to compare the mean values of the three groups of samples, and then the Tukey's test was used to compare the two groups. If the variance was uneven or did not conform to the normal distribution, the Wilcoxon rank sum test was used to compare the differences between the two groups. Kruskal-Wallis test (H test) was used to compare the differences between the three groups of samples, and then the Dunnett’s test (Z test) was used for comparison between the two groups. Categorical variable data were analyzed using chi-square test. Logistic regression analysis was used to screen independent risk factors, and the criteria for variable inclusion ( P < 0.05). Results:The respiratory entropy (RQ) and non-protein respiratory entropy (npRQ) of the three groups had statistically significant difference ( P < 0.05). Among them, the RQ and npRQ of the chronic hepatitis B group were higher than hepatitis B-related liver cirrhosis group and hepatitis B-related liver failure group. There were statistically significant differences in fat oxidation rate (FAT%) and carbohydrate oxidation rate (CHO%) between the three groups ( P < 0.05). Compared with hepatitis B-related liver cirrhosis group and hepatitis B-related liver failure group, chronic hepatitis B group ( P < 0.05) had lower FAT% and higher CHO%. There were no statistically significant differences in the measured and predicted resting energy expenditure and protein oxidation rate (PRO%) between the three groups. The incidence of secondary bacterial infection in patients with severe liver disease was 48.39% (45/93). Compared with the non-infected group, the RQ and npRQ values ??of the infected group were significantly decreased ( P < 0.05), while FAT% was significantly increased ( P < 0.05). Logistic regression analysis showed that glutamyltransferase, cholesterol, and npRQ were independent risk factors for secondary bacterial infections in patients with severe liver disease. Glutamyltransferase elevation, and cholesterol and npRQ depletion had suggested an increased risk of secondary bacterial infection. Subgroup analysis of patients with hepatitis B-related liver failure also showed that compared with non-infected group, RQ value and npRQ value of secondary bacterial infection group were significantly decreased ( P < 0.05), while FAT% was significantly increased ( P < 0.05). Conclusion:Patients with hepatitis B virus-related chronic liver disease generally have abnormal energy metabolism. Low RQ, npRQ, CHO% and high FAT% are related to the severity of the disease; while npRQ reduction is related to the risk of secondary bacterial infection in patients with severe liver disease, and thus can be used as a clinical prognostic indicator.