Objective:To study the relationship between the levels of multiple elements in urine and the risk of arsenic poisoning in populations exposed to drinking water arsenic in Inner Mongolia Autonomous Region (Inner Mongolia).Methods:From April 2023 to January 2024, a case-control study method was used to select 128 individuals with a residence time of ≥10 years in drinking water arsenic exposed areas in Inner Mongolia as study subjects. Eighty-one individuals diagnosed with arsenic poisoning were selected as the case group, and 47 healthy individuals were selected as the control group for urine sample collection and questionnaire survey. Inductively coupled plasma mass spectrometry was employed to determine the levels of 10 elements (chromium, manganese, cobalt, nickel, copper, zinc, arsenic, molybdenum, cadmium and lead) in urine. The levels of each element in urine were divided into four groups ( Q1, Q2, Q3, and Q4 groups) based on quartiles. The associations between the levels of various elements in urine and the risk of arsenic poisoning were studied using binary logistic regression model and restricted cubic spline (RCS). Results:The age of the control group and the case group [ M ( Q1, Q3)] were 61 (53, 69) and 61 (56, 67) years old, respectively. There were 19 and 43 males, and 28 and 38 females, respectively. There was no statistically significant differences in age and and gender composition between the two groups ( Z = - 0.39, P = 0.700; χ 2 = 1.91, P = 0.167). The levels of urinary copper and cadmium of the case group were higher than those of the control group, and the differences were statistically significant ( Z = - 2.66, - 2.16, P < 0.05). The results of univariate logistic regression analysis showed that urinary copper was an influencing factor for arsenic poisoning ( P = 0.017). The results of multivariate logistic regression analysis revealed that after adjusting for covariates, urinary copper and arsenic were independent influencing factors of arsenic poisoning ( P < 0.05). Taking Q1 group as a reference, urinary copper in Q3 group [ OR (95% CI) = 8.23 (1.81, 37.39), P = 0.006] increased the risk of arsenic poisoning, while urinary arsenic in Q2, Q3, and Q4 groups [ OR (95% CI) = 0.24 (0.06, 0.92), 0.12 (0.03, 0.53), 0.15 (0.04, 0.63), P < 0.05] decreased the risk of arsenic poisoning. After adjusting for covariates, RCS did not show a dose-response relationship between urinary copper, urinary arsenic, and arsenic poisoning ( P > 0.05). Conclusion:Urinary arsenic and copper are associated with the risk of arsenic poisoning in the drinking water arsenic exposed areas of Inner Mongolia, copper exposure may contribute significantly to arsenic poisoning.

Objective To investigate the association between baseline depression and the risk of type 2 diabetes mellitus(T2DM)in middle-aged and elderly people in Chengguan District of Lanzhou.Methods A total of 4471 residents who were followed up in Chengguan District,Lanzhou City from August 2014 to July 2016 in the 2011 REACTION study were selected as the research subjects.According to the 9-item patient health questionnaire(PHQ-9),they were divided into the non-depression group with a score of 0～4 points(ND,n=3827),the mild depression group with a score of 5～10 points(MD,n=546)and the moderate to severe depression group with a score of≥10 points(MSD,n=98).The general data and biochemical indicators of the three groups were compared.The correlation between depression status and glycolipid metabolism indicators was analyzed.The follow-up results of the three groups with different baseline glucose metabolism status populations were compared.Logistic regression was used to analyze the influencing factors of progression in different glucose metabolism populations.Results The married rate in the ND,MD and MSD groups decreased sequentially(P<0.05),while the rate of living alone and the PHQ-9 score increased(P<0.05).The female population,family history of DM,coronary heart disease,LDL-C and TC in the MD group were higher than those in the ND group(P<0.05),while the age,BMI,WHR,FPG and 2 hPG in the MD group were lower than those in the ND group(P<0.05).The family history of DM in the MSD group was higher than those in the ND group(P<0.05),drinking and LDL-C in the MSD group were higher than those in the MD group(P<0.05),the BMI was lower than that in the ND group(P<0.05).Spearman correlation analysis showed that the baseline PHQ-9 score was negatively correlated with FPG level(r=-0.039,P<0.05),and positively correlated with HDL-C and TC(r=0.049,0.031,P<0.05).There was no significant difference in the incidence of pre-DM and T2DM at the end of follow-up among the three groups with different baseline glucose metabolism(P>0.05).Logistic regression analysis showed that after adjusting for confounding factors,the risk of pre-DM and T2DM in normal glucose tolerance people with different depression status and the risk of T2DM in pre-DM patients were not increased.Conclusions Depressive state may not be the main factor affecting the occurrence of T2DM in middle-aged and elderly people in Chengguan District of Lanzhou.

Background and Aims:Complete situs inversus(SIT)is a rare congenital abnormality of organ mirror-image arrangement,presenting certain challenges for abdominal surgical procedures.The Da Vinci robotic system,with its high-definition 3D vision and flexible operation,holds potential for application in patients with anatomical variations.This report presents the diagnosis and treatment process of a patient with rectal mass and SIT who underwent robotic-assisted surgery.Additionally,relevant literature is reviewed to provide insights for individualized surgical strategies in patients with complex anatomical variations and to promote the further clinical application of robotic-assisted surgery systems.Methods:A case from the First Affiliated Hospital of Zhengzhou University is reported,in which a patient with rectal mass and SIT successfully underwent lesion resection using the Da Vinci robotic system with an unconventional"five-port"technique.A systematic literature review was also conducted(including 35 case reports),to summarize the surgical characteristics of colorectal procedures in SIT patients and the advantages of robotic system application.Results:The patient was a 74-year-old male who presented with rectal bleeding.Imaging confirmed the diagnosis of SIT,and colonoscopy revealed a large polypoid mass with ulceration at the apex,located 13-18 cm from the anal verge.The patient subsequently underwent Da Vinci robotic-assisted resection of the rectal lesion.The robotic system effectively overcame the challenges posed by mirror-image anatomy,enabling complete excision of the lesion.The operation lasted 183 minutes,with intraoperative blood loss of less than 20 mL.Postoperative pathology confirmed a villous tubular adenoma with high-grade intraepithelial neoplasia.The patient had an uneventful recovery,and no recurrence was observed during the 9-month follow-up.Literature analysis demonstrated that the robotic system,through magnified 3D visualization,flexible instrument articulation,and tremor filtration,significantly improves surgical precision in patients with anatomical anomalies.Conclusion:The Da Vinci robotic system effectively addresses the challenges of anatomical variations related to SIT in low rectal surgery.Its stability and precision offer a new technical option for tumor resection under complex anatomical conditions,demonstrating clinical value for widespread application.

Objective:To analyze the spatiotemporal correlation between the surveillance data of influenza in students reported by medical institutions and school absenteeism due to illness, and evaluate the application of Bayesian Structural Time Series model (BSTS) in the prediction of school influenza epidemic.Methods:A total of 13 schools in Dapeng new district of Shenzhen were selected. The incidence data of influenza in schools in Shenzhen from January 1, 2015 to December 31, 2019 were collected from China Disease Control and Prevention Information System and the illness related school absentence data during this period were collected from Shenzhen Student Health Surveillance System, and the spatiotemporal correlation between the data from two systems was analyzed and compared. BSTS was used to make long-term predictions of the monthly incidence of influenza in students in 2019 and short-term predictions of the weekly incidence of influenza in week 1-8 and week 45-52 of 2019 by using the data from two systems.Results:There was a temporal correlation between the data from China Disease Control and Prevention Information System and the data from Shenzhen Student Health Surveillance System ( r=0.93, P<0.001), and the lag of the former one was 1 day ( r=0.73, P<0.001). Influenza outbreaks were randomly distributed in different schools in Shenzhen, and there was no spatial correlation. The root mean square error ( RMSE) and mean absolute error ( MAE) were 0.35 and 0.28, respectively, in the long-term prediction, and the RMSE was 0.33 and 0.34, and the MAE was 0.26 and 0.28, respectively, in the short-term predictions of week 1-8 and week 45-52 of 2019, respectively, showing good prediction accuracy and fitting effect. Conclusion:By analyzing the data from China Disease Control and Prevention Information System and Shenzhen Student Health Surveillance System with BSTS, the dynamics of the school influenza epidemic can be accurately predicted, and effective technical support can be provided for the early warning and prevention and control of influenza epidemic.

Objective To investigate the association between baseline depression and the risk of type 2 diabetes mellitus(T2DM)in middle-aged and elderly people in Chengguan District of Lanzhou.Methods A total of 4471 residents who were followed up in Chengguan District,Lanzhou City from August 2014 to July 2016 in the 2011 REACTION study were selected as the research subjects.According to the 9-item patient health questionnaire(PHQ-9),they were divided into the non-depression group with a score of 0～4 points(ND,n=3827),the mild depression group with a score of 5～10 points(MD,n=546)and the moderate to severe depression group with a score of≥10 points(MSD,n=98).The general data and biochemical indicators of the three groups were compared.The correlation between depression status and glycolipid metabolism indicators was analyzed.The follow-up results of the three groups with different baseline glucose metabolism status populations were compared.Logistic regression was used to analyze the influencing factors of progression in different glucose metabolism populations.Results The married rate in the ND,MD and MSD groups decreased sequentially(P<0.05),while the rate of living alone and the PHQ-9 score increased(P<0.05).The female population,family history of DM,coronary heart disease,LDL-C and TC in the MD group were higher than those in the ND group(P<0.05),while the age,BMI,WHR,FPG and 2 hPG in the MD group were lower than those in the ND group(P<0.05).The family history of DM in the MSD group was higher than those in the ND group(P<0.05),drinking and LDL-C in the MSD group were higher than those in the MD group(P<0.05),the BMI was lower than that in the ND group(P<0.05).Spearman correlation analysis showed that the baseline PHQ-9 score was negatively correlated with FPG level(r=-0.039,P<0.05),and positively correlated with HDL-C and TC(r=0.049,0.031,P<0.05).There was no significant difference in the incidence of pre-DM and T2DM at the end of follow-up among the three groups with different baseline glucose metabolism(P>0.05).Logistic regression analysis showed that after adjusting for confounding factors,the risk of pre-DM and T2DM in normal glucose tolerance people with different depression status and the risk of T2DM in pre-DM patients were not increased.Conclusions Depressive state may not be the main factor affecting the occurrence of T2DM in middle-aged and elderly people in Chengguan District of Lanzhou.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective:To analyze the spatiotemporal correlation between the surveillance data of influenza in students reported by medical institutions and school absenteeism due to illness, and evaluate the application of Bayesian Structural Time Series model (BSTS) in the prediction of school influenza epidemic.Methods:A total of 13 schools in Dapeng new district of Shenzhen were selected. The incidence data of influenza in schools in Shenzhen from January 1, 2015 to December 31, 2019 were collected from China Disease Control and Prevention Information System and the illness related school absentence data during this period were collected from Shenzhen Student Health Surveillance System, and the spatiotemporal correlation between the data from two systems was analyzed and compared. BSTS was used to make long-term predictions of the monthly incidence of influenza in students in 2019 and short-term predictions of the weekly incidence of influenza in week 1-8 and week 45-52 of 2019 by using the data from two systems.Results:There was a temporal correlation between the data from China Disease Control and Prevention Information System and the data from Shenzhen Student Health Surveillance System ( r=0.93, P<0.001), and the lag of the former one was 1 day ( r=0.73, P<0.001). Influenza outbreaks were randomly distributed in different schools in Shenzhen, and there was no spatial correlation. The root mean square error ( RMSE) and mean absolute error ( MAE) were 0.35 and 0.28, respectively, in the long-term prediction, and the RMSE was 0.33 and 0.34, and the MAE was 0.26 and 0.28, respectively, in the short-term predictions of week 1-8 and week 45-52 of 2019, respectively, showing good prediction accuracy and fitting effect. Conclusion:By analyzing the data from China Disease Control and Prevention Information System and Shenzhen Student Health Surveillance System with BSTS, the dynamics of the school influenza epidemic can be accurately predicted, and effective technical support can be provided for the early warning and prevention and control of influenza epidemic.

Managing look-alike/sound-alike medications is important to medical institutions'pharmaceutical manage-ment and pharmacy services.Based on national policies and regulations,this standard focuses on the whole life cycle of look-alike/sound-alike medications in medical institutions.It is developed based on the principles of scientific validity,universality,guidance,and applicability,formed by sorting out problems,soliciting opinions,expert argumentation,and deliberation.It is the first group standard to standardize the management of look-alike/sound-alike medications.This paper introduced and analyzed the team com-position,problem sorting and compilation process,and various elements of the standard in the process of formulating the standard,to provide a reference for medical institutions to use this standard.

The aim of this experiment was to study the effects of different feeding modes on growth performance,blood biochemical indexes and intestinal flora of lactating Holstein male calves.Twenty-four newborn Holstein male calves with body mass of(40.00±1.01)kg and similar day old were selected and randomly divided into four groups of six calves each.The subgroups were low-milk group(LM),high-milk group(HM),high-milk milk replacer feeding group(HMR),and low-milk switching to high-milk milk replacer feeding group(CMR).The results showed that:At 45 d,the body mass of calves in the HM group was significantly higher than that of calves in the other groups(P＜0.05),and at 60 d,the body mass of calves in the HM group was significantly higher than that of calves in the LM &.CMR groups(P＜0.05).At 90 d,the body mass of calves in the LM group was significantly higher than that of calves in the HM group.Throughout the ex-perimental period,the average daily weight gain and average pellet feed intake of calves in the LM group were significantly higher than that of calves in the HM group(P＜0.05).The calf globulin level in the HMR group was significantly higher than that in the LM and HM groups(P＜0.05);the plasma immunoglobulin A level of calves in the HM group was significantly lower than that of calves in the LM and HMR groups(P＜0.05);and the plasma immunoglobulin M level of calves in the HM group was significantly higher than that of calves in the LM and CMR groups(P＜0.05),and HMR group was also significantly higher than that of LM group(P＜0.05);plasma glutathione peroxidase level of calves in HMR group was significantly higher than that of LM group(P＜0.05);plasma malondialdehyde level of calves in LM group was significantly higher than that of calves in HMR and HM groups(P＜0.05),and CMR group was also significantly higher than that of HM group(P＜0.05).Relative abundance of Thermodesulfovibrio was higher in the HM group(P＜0.05),relative abundance of Bacteroidetes in the LM group was significantly higher than that in the HMR and HM groups(P＜0.05),relative abundance of Blautia in the HM group(P＜0.05),and relative abundance of Corynebacterium in the CMR group was significantly higher than that in the LM and HM groups(P＜0.05).In summary,calves in the LM group had better weaning weights and pellet feed intake;calves in the CMR group could compensate for growth by supplemental feeding of milk replacer to obtain more optimal weaning weights and pel-let feed intake;the HMR group proved that milk-free feeding could ensure stable growth of calves;and calves in the HM group had a better pre-lactation growth performance,lower levels of oxida-tive stress,and a healthier fecal flora.

Neoadjuvant therapy has become the standard treatment for locally advanced resectable esophageal cancer, significantly improving long-term survival compared to surgery alone. Neoadjuvant therapy has evolved to include various strategies, such as concurrent chemoradiotherapy, chemotherapy, immunotherapy, or targeted combination therapy. This enriches clinical treatment options and provides a more personalized and scientific treatment approach for patients. This article aims to comprehensively summarize current academic research hot topics, review the rationale and evaluation measures of neoadjuvant therapy, discuss challenges in restaging methods after neoadjuvant therapy, and identify the advantages and disadvantages of various neoadjuvant therapeutic strategies.