Objective To explore the effect of adjuvant hydrogen inhalation therapy(AHIT)on postoperative neurological recovery in elderly patients with cerebral hemorrhage.Methods A pro-spective study was conducted on 100 patients with cerebral hemorrhage who underwent surgical treatment in our department between January 2021 and February 2023.They were randomly divid-ed into an observation group(AHIT)and a control group(conventional treatment),with 50 pa-tients in each group.Glasgow Coma Scale(GCS)score,NIHSS score,short from 36-item question-naire(SF-36)score,as well as levels of serum brain-derived neurotrophic factor(BDNF),insulin-like growth factor 1(IGF-1)and calcitonin gene-related peptide(CGRP),and incidence of compli-cations were compared between the two groups.Results The observation group obtained signifi-cantly higher GCS score and SF-36 scores at 4 and 8 weeks after treatment,and lower NIHSS score when compared with the control group(P＜0.01).At 8 weeks after treatment,the serum BDNF,IGF-1 and CGRP levels were notably higher in the observation group than the control group(P＜0.01).There was no statistical difference in the incidence of complications between the two groups(6.00％vs 10.00％,P＞0.05).Conclusion AHIT can significantly improve the neuro-logical recovery and quality of life of patients with cerebral hemorrhage,as well as elevate the lev-els of serum neurofunctional markers.

Obsessive-compulsive disorder (OCD) is characterized by recurrent episodes of intrusive thinking and/or behavior, persistent and variable symptoms, and chronic recurrence. It is clearly recommended in the OCD treatment guidelines that psychotherapy can effectively improve clinical symptoms and play an important role in maintaining long-term efficacy. However, previous research and clinical practice paid little attention to the application of psychological interventions in OCD.Currently, there is insufficient understanding of psychotherapy for OCD, especially the proven first-line exposure and response prevention therapy (ERP), cognitive-behavioral therapy, and Morita therapy.Due to limited resources, they have not received effective intervention. Therefore, this article reviews the relevant research on psychological therapy intervention for OCD in recent years, summarizes the intervention effects of different psychological therapy methods on OCD and further elaborates on possible therapeutic mechanisms.Based on this, combined with the existing research, this article clarifies the effect of various behavioral psychological interventions and their combined treatment, and explores group and online forms of psychological intervention in order to increase the accessibility of psychotherapy for OCD patients.

Obsessive-compulsive disorder (OCD) is characterized by recurrent episodes of intrusive thinking and/or behavior, persistent and variable symptoms, and chronic recurrence. It is clearly recommended in the OCD treatment guidelines that psychotherapy can effectively improve clinical symptoms and play an important role in maintaining long-term efficacy. However, previous research and clinical practice paid little attention to the application of psychological interventions in OCD.Currently, there is insufficient understanding of psychotherapy for OCD, especially the proven first-line exposure and response prevention therapy (ERP), cognitive-behavioral therapy, and Morita therapy.Due to limited resources, they have not received effective intervention. Therefore, this article reviews the relevant research on psychological therapy intervention for OCD in recent years, summarizes the intervention effects of different psychological therapy methods on OCD and further elaborates on possible therapeutic mechanisms.Based on this, combined with the existing research, this article clarifies the effect of various behavioral psychological interventions and their combined treatment, and explores group and online forms of psychological intervention in order to increase the accessibility of psychotherapy for OCD patients.

Objective To explore the effect of adjuvant hydrogen inhalation therapy(AHIT)on postoperative neurological recovery in elderly patients with cerebral hemorrhage.Methods A pro-spective study was conducted on 100 patients with cerebral hemorrhage who underwent surgical treatment in our department between January 2021 and February 2023.They were randomly divid-ed into an observation group(AHIT)and a control group(conventional treatment),with 50 pa-tients in each group.Glasgow Coma Scale(GCS)score,NIHSS score,short from 36-item question-naire(SF-36)score,as well as levels of serum brain-derived neurotrophic factor(BDNF),insulin-like growth factor 1(IGF-1)and calcitonin gene-related peptide(CGRP),and incidence of compli-cations were compared between the two groups.Results The observation group obtained signifi-cantly higher GCS score and SF-36 scores at 4 and 8 weeks after treatment,and lower NIHSS score when compared with the control group(P＜0.01).At 8 weeks after treatment,the serum BDNF,IGF-1 and CGRP levels were notably higher in the observation group than the control group(P＜0.01).There was no statistical difference in the incidence of complications between the two groups(6.00％vs 10.00％,P＞0.05).Conclusion AHIT can significantly improve the neuro-logical recovery and quality of life of patients with cerebral hemorrhage,as well as elevate the lev-els of serum neurofunctional markers.

Objective:To evaluate the long-term effectiveness of lingual mucosal graft ureteroplasty (LMGU) for managing long-segment (≥5 cm) ureteral strictures in a multi-institutional cohort of patients.Methods:A multi-center retrospective case series study was conducted on clinical data from 42 patients undergoing LMGU for long-segment ureteral strictures (≥5 cm) across five institutions between February 2017 and June 2024. The cohort comprised 31 males and 11 females, with an age of (43.4±12.0) years (range: 15 to 64 years) and a body mass index of (24.6±2.6) kg/m2 (range: 16.0 to 30.0 kg/m2). Strictures involved the left ureter in 24 cases and right ureter in 18 cases, demonstrating a stricture length of (6.4±1.5) cm (range: 5.0 to 11.5 cm). Surgical interventions included either onlay ureteroplasty or augmented anastomotic ureteroplasty, selected according to intraoperative findings. Intraoperative parameters, postoperative complications, and follow-up outcomes were analyzed.Results:Laparoscopic surgery was performed in 22 cases and robot-assisted surgery in 20 cases. Among the 42 patients, 22 underwent onlay ureteroplasty while 20 received augmented anastomotic ureteroplasty. The graft length was (5.9±1.8) cm (range: 3.0 to 12.0 cm), operative time (191.5±55.6) minutes (range: 105.0 to 350.0 minutes), and intraoperative estimated blood loss (86.7±73.6) ml (range: 10.0 to 400.0 ml). All procedures were successfully completed without conversion to open surgery. The postoperative hospital stay was (7.6±2.0) days (range: 4.0 to 15.0 days), with double-J stent removal at 6 to 8 weeks postoperatively. During a follow-up of (49.1±25.0) months (range: 12.0 to 99.0 months), no stricture recurrence was observed in any patient.Conclusion:LMGU is a safe, feasible, and effective long-term technique for managing long-segment (≥5 cm) ureteral strictures.

Objective:To evaluate the long-term effectiveness of lingual mucosal graft ureteroplasty (LMGU) for managing long-segment (≥5 cm) ureteral strictures in a multi-institutional cohort of patients.Methods:A multi-center retrospective case series study was conducted on clinical data from 42 patients undergoing LMGU for long-segment ureteral strictures (≥5 cm) across five institutions between February 2017 and June 2024. The cohort comprised 31 males and 11 females, with an age of (43.4±12.0) years (range: 15 to 64 years) and a body mass index of (24.6±2.6) kg/m2 (range: 16.0 to 30.0 kg/m2). Strictures involved the left ureter in 24 cases and right ureter in 18 cases, demonstrating a stricture length of (6.4±1.5) cm (range: 5.0 to 11.5 cm). Surgical interventions included either onlay ureteroplasty or augmented anastomotic ureteroplasty, selected according to intraoperative findings. Intraoperative parameters, postoperative complications, and follow-up outcomes were analyzed.Results:Laparoscopic surgery was performed in 22 cases and robot-assisted surgery in 20 cases. Among the 42 patients, 22 underwent onlay ureteroplasty while 20 received augmented anastomotic ureteroplasty. The graft length was (5.9±1.8) cm (range: 3.0 to 12.0 cm), operative time (191.5±55.6) minutes (range: 105.0 to 350.0 minutes), and intraoperative estimated blood loss (86.7±73.6) ml (range: 10.0 to 400.0 ml). All procedures were successfully completed without conversion to open surgery. The postoperative hospital stay was (7.6±2.0) days (range: 4.0 to 15.0 days), with double-J stent removal at 6 to 8 weeks postoperatively. During a follow-up of (49.1±25.0) months (range: 12.0 to 99.0 months), no stricture recurrence was observed in any patient.Conclusion:LMGU is a safe, feasible, and effective long-term technique for managing long-segment (≥5 cm) ureteral strictures.

Developmental dysplasia of the hip (DDH) is a developmental disease with abnormal position and morphology of the acetabulum and femoral head. DDH ranges from mild dysplasia to complete dislocation, including simple acetabular dysplasia, subluxation, and total dislocation. DDH is one of the most common hip diseases in children, and its onset begins in infancy. The anatomical structure of the hip joint is complex, and there are some practical problems in the large -scale clinical diagnosis and screening work, such as heavy workload, high misdiagnosis rate and missed diagnosis rate, and a long learning period of surgery. Artificial intelligence (AI) is an emerging technology science used to research and develop theories, methods, technologies and application systems that can simulate human intelligence. The main goal is to enable machines to complete complex tasks that require human intelligence. At present, artificial intelligence is mainly used in the diagnosis and treatment of DDH. Artificial intelligence combined with X-ray or ultrasound is used to diagnose and screen DDH, which avoids subjectivity to a certain extent and improves the accuracy of diagnosis and screening. In the preoperative planning of periacetabular osteotomy and total hip arthroplasty, it can more accurately track the position of the bone block and design the size of the prosthesis, which makes the surgical planning more accurate to a certain extent. Artificial intelligence technologies such as 3D navigation system, surgical robot and robotic arm are helpful to improve the accuracy and safety of surgery. Artificial intelligence has the characteristics of simplicity, speed, high repeatability and deep learning ability, which to a certain extent saves manpower, material resources and time costs for DDH diagnosis and treatment, facilitates medical workers to share DDH diagnosis and treatment experience and reduces the burden of patients, families, society and the country. The application of artificial intelligence in DDH diagnosis and treatment is becoming more and more extensive, but at present, artificial intelligence in DDH screening is still in its preliminary stage. There are few reports on artificial intelligence technology in DDH hip preservation treatment and other surgical methods, and there is insufficient research on artificial intelligence in DDH conservative treatment, postoperative complications and prognosis prediction. It is worth exploring new ideas by researchers. At present, the application of artificial intelligence in DDH still has certain limitations, including problems such as difficult to control the quality of image data, difficult to develop and promote technology, and lack of laws and regulations. Based on the literature database and relevant data sharing network, this paper reviews the application of artificial intelligence in the diagnosis and treatment of DDH at home and abroad in recent years, summarizes the current application status of artificial intelligence in the diagnosis and treatment of DDH, and provides new ideas for the future application of artificial intelligence in the diagnosis and treatment of DDH.

Objective To conduct data mining of asthma-inducing medications in underage populations based on the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,so as to provide reference for the clinical application of related medications.Methods Adverse drug event(ADE)reports from the first quarter of 2013 to the fourth quarter of 2022 in the FAERS database were collected and screened for reports of asthma adverse events in the this population(under 18 years old),which were categorized into infants,toddlers,children,and adolescents according to different age groups,and were subjected to medication signal mining by using the reporting odds ratio method,the composite standardized method,and the information component method.Results A total of 1 915 reports were obtained after screening,involving 1 042(54.41％)males and 831(43.39％)females;the highest percentage of the reporting population was between 12 and under 18 years old,with a total of 762(39.79％);60.78％of the reports were reported by health professionals;and the results of the clinical referrals showed that serious adverse events occurred in 85.90％of the cases.306 suspected drugs were screened,52 drugs were determined to be valid signals,and 1 044 adverse events were reported,of which 16 drug inserts did not mention the risk of asthma,in order of elosulfatase alpha,canakinumab,tobramycin,vancomycin,ceftriaxone,cetirizine,phenylephrine,imiglucerase,cefuroxime,betamethasone,atropine,tadalafil,riscovastatin,cyclophosphamide,octreotide,and omeprazole.Conclusion The FAERS database was mined for adverse drug event signals and evaluated using the proportional disequilibrium method to identify 16 medicines that may trigger pharmacogenetic asthma and are not documented in the specification,which can be used to provide a good early warning for the clinic.At the same time,focusing on special populations,strengthening the assessment of lung function before medication and monitoring during and after medication,timely interventions were taken to reduce the harm of drug-derived adverse reactions and ensure the safe use of medication.

Objective Based on the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,data mining was conducted on hematological adverse events related to antibody drug conjugates(ADC),providing reference for the safe use of ADC drugs in clinical practice.Methods The report data from the third quarter of 2011 to the fourth quarter of 2022 were retrieved from the FAERS database.After data cleaning such as deduplication and name standardization,extract hematological adverse events related to ADC,and use report odds ratio method and the information component method for signal detection.Results A total of 101 610 adverse event reports were extracted,with 8 ADC drugs as the primary suspected drugs,and 5 768 ADC related hematological adverse event reports.Among them,3 423 cases of agranulocytosis were involved,and the signal intensity from strong to weak were sacituzumab govitecan(SG),gemtuzumab ozogamicin(GO),brentuximab vedotin(BV),polatuzumab vedotin(PV),enfortumab vedotin(EV),trastuzumab deruxtecan(TD),inotuzumab ozogamicin(IO)and ado-trastuzumab emtansine(TDM-1).There were 2 327 cases hematopoietic cell deficiency,with signals ranging from strong to weak were IO,SG,BV,EV,PV,TD,TDM-1,and GO.Report with clinical outcome of death of ADC drug related hematological adverse events included BV 179(16.84％),TDM-1 102(13.01％),TD 88(27.08％),GO 12(16.90％),IO 8(11.59％),EV 54(24.32％),PV 22(27.16％),and SG 84(21.05％).Adverse event time analysis showed that the number of events on the first day of TD,IO,and SG medication accounts for ≥ 40％of the total number of cases.The median time of hematological adverse events in TD,GO,IO,EV,PV,and SG was within one treatment course(21 days).Conclusion Attention should be paid to the risk of ADC drug-related hematological adverse event,during the clinical medication process,blood cell count changes should be closely monitored,and any abnormalities should be promptly diagnosed and treated.

Objective:The principal components (PC) of venous-to-arterial carbon dioxide content diference [C(v-a)CO 2] were extraceted in septic shock patients, in orter to compare the contribution of the principal components to C(v-a)CO 2. Methods:Septic shock patients monitored by Swan Ganz floating catheter in the Medical Intensive Care Unit of Peking Union Medical College Hospital were included in the retrospective study. All pairs of arterial and mixed-venous blood gases within 1 h before and after a flood challenge were included in the analyses. The principal component method was used to extract the components of C(v-a)CO 2. Spearman correlation analysis was used to evaluate the correlation between the components and C(v-a)CO 2, and the correlation between the components and cardiac output. The differences of the components beween the 28-day survival group and 28-day death group were analyzed by univariate analysis. Results:A total of 504 pairs of blood gases in 104 septic shock patients were included in the analyses. The median age of patients was 62 years ( IQR, 48 to 71), and 59.6% (62/104) were men. Four principal components were extracted and the components account for 77.7% of variance. PC1 included PaO 2, PvO 2, SaO 2 and SvO 2. PC2 included pHa and pHv. PC3 included Hb and Hct. PC4 included PaCO 2 and PvCO 2. There was a significant difference in PC4 between the two group. PC4 could weakly predict the 28-day death (AUROC 0.634, 95% CI 0.527-0.741, P=0.015). Conclusions:In patients with infectious shock, arteriovenous [C(v-a)CO 2] consists of principal components of four dimensions: oxygenation, pH, Hb, and CO 2 partial pressure difference.Arterial CO 2 partial pressure difference [P(v-a)CO2] weakly predicts 28-d morbidity and mortality.