Objective:To construct a risk prediction model based on explainable intelligence(XAI)analysis algorithms for orthopedic consumables in surgery room,and improve the management quality of controlling risk for orthopedic consumables in surgery room.Methods:A risk index system for orthopedic consumables in the surgery room was established through researching literature and using Delphi method.The data of supply and use of consumables were collected to construct a risk prediction model.Risk control paths were formulated from three aspects included formulating preoperative plan,intraoperative dynamic allocation,and postoperative tracking and feedback.A total of 6,572 sets of orthopedic consumables that were used in the surgery room of the 960th Hospital of People's Liberation Army Joint Service Support Force from January 2021 to December 2024 were selected.The 3,185 sets of orthopedic consumables that were used during January 2021 and December 2022 were managed by using conventional method of controlling and managing risk.The 3,387 sets of orthopedic consumables that were used during January 2023 and December 2024 were managed by using intelligent method of controlling and managing risk.The early warning capabilities for risk,and the control quality for risk between the two management methods were compared.A self-made satisfaction survey questionnaire was adopted to investigate the satisfaction scores of medical staffs and managers for consumables in the surgery room for the two management methods.Results:The average accuracy rates of using the intelligent method of controlling and managing risk in predicting formulating preoperative plan,intraoperatively dynamic allocation,and postoperative tracking and feedback for early warning events of risk in 157,247 and 57 consumables were respectively 49.68%(78/157),42.11%(104/247)and 56.14%(32/57),all of which were higher than those of conventional method of controlling and managing risk,and the difference were statistically significant(x2=9.475,23.637,13.035,P<0.05).The average reduction rate of risk events of consumables,the average intervention rate of abnormal use of consumables,and the mean value of enhance degree of turnover efficiency of consumables were respectively(6.25±1.59)%,(87.93±4.44)%and(4.78±1.69)%,all of which were higher than those of conventional method of controlling and managing risk,and the differences were statistically significant(t=4.952,6.257,4.660,P<0.05).The scores of medical staffs and managers in surgery room for acceptance of early warning for risk,support of management decision,satisfaction of using consumables,and assessment results of training by adopting intelligent method of controlling and managing risk were all higher than those by adopting conventional method of controlling and managing risk,and the differences were statistically significant(t=3.368,3.082,3.701,4.558,P<0.05).Conclusion:The application of prediction model based on XAI analysis algorithm for risk of orthopedic consumables in the surgery room can improve the accuracy of early warning for risk of orthopedic consumables in the surgery room,and reduce the incidence of risk events,and enhance the ability of emergent response for risk,and improve the quality of clinical services.

Objective:To identify factors influencing treatment-free remission (TFR) outcomes in children and adolescent patients with chronic myeloid leukemia (CML) after imatinib (IM) discontinuation.Methods:This multicenter retrospective study analyzed 36 children and adolescent patients with CML from eight hematology centers in China (December 1, 2016, to September 27, 2024) who discontinued IM therapy with documented post-cessation outcomes. Clinical characteristics and molecular response dynamics were assessed. Univariate analysis and multivariate Cox proportional hazards regression models were employed to assess factors associated with TFR outcomes.Results:A total of 36 patients were documented, comprising 17 males and 19 females. The median ages at CML diagnosis and IM discontinuation were 11 years ( IQR: 5,16) and 20 years ( IQR: 14,25), respectively. The median time from IM initiation to first deep molecular response (DMR) was 21 months ( IQR: 13, 38). Pre-discontinuation, patients received IM for a median duration of 96 months ( IQR: 84, 121) and maintained DMR for 74 months ( IQR: 63, 89). With a median post-discontinuation follow-up of 38 months ( IQR: 15, 68), cumulative TFR rates at 6, 12, 24, and 36 months were 74.1%, 60.7%, 60.7%, and 56.0%, respectively, generating an overall TFR rate of 58.3%. Fifteen patients lost major molecular response at a median of 5 months post-discontinuation ( IQR: 3, 11). All 15 patients resumed tyrosine kinase inhibitor therapy, comprising 13 who restarted IM and 2 who switched to dasatinib. By the last follow-up, 13 (86.7% ) patients regained DMR after a median treatment duration of 5 months ( IQR: 3, 17), and no disease progression occurred in any patient. Withdrawal syndrome occurred in 2 (5.6% ) patients. Univariate analysis revealed significantly higher TFR rates in patients with pre-discontinuation IM duration of ≥100 months vs <100 months (82.4% vs 36.8%, P=0.017) and pre-discontinuation DMR duration of ≥72 months vs <72 months (84.2% vs 29.4%, P=0.003). Multivariate Cox analysis identified pre-discontinuation DMR duration as an independent protective factor for TFR ( HR=5.419, 95% CI: 1.524–19.272, P=0.009) . Conclusion:DMR duration was identified as an independent protective factor influencing TFR outcomes in children and adolescent patients with CML after IM discontinuation. Patients who maintained DMR for ≥72 months before IM discontinuation demonstrated a significantly higher TFR rate.

Objective:To identify circulating proteins associated with cardiovascular, renal, and cardiorenal comorbidity events in individuals with metabolic syndrome, to construct a predictive model incorporating these proteins to improve prediction accuracy and to investigate their mediating effects on the interplay between cardiovascular and renal diseases.Methods:Data from the UK Biobank cohort were utilized. Cox proportional hazards models were applied to identify circulating proteins associated with various outcomes, followed by time-truncated sensitivity analyses. A predictive model incorporating protein scores was then developed using the LightGBM algorithm and compared with other models. Gene Ontology(GO) functional enrichment analysis was performed to explore the biological pathways of the identified proteins. Finally, mediation effect analysis was conducted to assess the role of circulating proteins in cardiorenal interactions. Results:The Cox analysis identified 180, 275, and 322 circulating proteins associated with cardiovascular events, renal events, and cardiorenal comorbidity events, respectively. Incorporating protein scores significantly improved model performance; the areas under the curve(AUC) for cardiovascular, renal, and cardiorenal events were 0.833, 0.907, and 0.890, respectively. GO functional enrichment analysis demonstrated significant enrichment in pathways such as cytokine activity(GO: 0005125), glycosaminoglycan binding(GO: 0005539), and humoral immune response(GO: 0006959) among all outcome-related proteins. Notably, EDA2R, GDF15, and WFDC2 exhibited significant mediating effects, each with mediation proportions exceeding 10%. Conclusions:A predictive model incorporating circulating protein scores can substantially improve prediction accuracy for cardiovascular and renal outcomes in individuls with metabolic syndrome.

Objective:To evaluate the clinical characteristics of Crohn's disease (CD) patients with secondary upper gastrointestinal fistulas and analyze risk factors for recurrence.Methods:A restrospective observational research method was performed. Clinical data of CD patients with secondary upper gastrointestinal fistulas treated at Eastern Theater General Hospital of PLA from January 2010 to August 2024 were analyzed. Based on postoperative recurrence of upper gastrointestinal fistulas, the patients were divided into recurrence group and non-recurrence group. Differences in clinical data between the two groups were compared, and further multivariate Logistic regression analysis was used to identify the risk factors for fistula recurrence.Results:A total of 72 CD patients with secondary upper gastrointestinal fistulas were included, consisting of 48 males and 24 females, with a mean age of 39±12 years and a disease duration of 97±56 months, accounting for 2.8% of all CD patients undergoing surgeries during the same period. Among these patients, 75 upper gastrointestinal fistulas from 72 patients were identified, including 67 patients of simple duodenal fistula, 2 of simple gastric fistula, and 3 of double fistulas (2 of double duodenal fistulas and 1 of duodenal fistula combined with gastric fistula) .The preoperative diagnostic positivity rates were 55.6% (40/72) for gastroscopy, 54.2% (39/72) for upper gastrointestinal contrast imaging, 22.2% (16/72) for abdominal CT, and 22.2% (16/72) for colonoscopy. A history of biologic therapy was present in 33.3% (24/72) of patients, but none achieved fistula healing. All 72 patients underwent surgical treatment, with primary lesion surgical approaches including resection with anastomosis (37 patients, 51.4%) and resection with stoma (35 patients, 48.6%). Except for one gastric fistula treated by resection, all other fistulas underwent primary repair. During a median follow-up of 69 (40, 113) months, 8 patients (11.1%) required reoperation due to recurrent upper gastrointestinal fistulas (classified as the recurrence group), while the remaining 64 patients were assigned to the non-recurrence group. Univariate analysis revealed that the recurrence group had a higher proportion of patients aged 30-40 years ( P = 0.003), malnutrition ( P = 0.040), and anastomosis near the duodenum ( P = 0.047), but a lower proportion of postoperative biologic use ( P = 0.007) .Multivariate Logistic regression analysis showed that malnutrition and anastomosis near the duodenum were not the risk factors for duodenal fistula recurrence (both P > 0.05) . Conclusions:Upper gastrointestinal fistulas secondary to CD are rare, predominantly presenting as simple duodenal fistulas. Diagnosis primarily relies on gastroscopy and gastrointestinal contrast imaging. Biologic therapy shows poor efficacy, and most patients do not recur after the primary repair surgery of duodenal fistulas.

Objective:To identify factors influencing treatment-free remission (TFR) outcomes in children and adolescent patients with chronic myeloid leukemia (CML) after imatinib (IM) discontinuation.Methods:This multicenter retrospective study analyzed 36 children and adolescent patients with CML from eight hematology centers in China (December 1, 2016, to September 27, 2024) who discontinued IM therapy with documented post-cessation outcomes. Clinical characteristics and molecular response dynamics were assessed. Univariate analysis and multivariate Cox proportional hazards regression models were employed to assess factors associated with TFR outcomes.Results:A total of 36 patients were documented, comprising 17 males and 19 females. The median ages at CML diagnosis and IM discontinuation were 11 years ( IQR: 5,16) and 20 years ( IQR: 14,25), respectively. The median time from IM initiation to first deep molecular response (DMR) was 21 months ( IQR: 13, 38). Pre-discontinuation, patients received IM for a median duration of 96 months ( IQR: 84, 121) and maintained DMR for 74 months ( IQR: 63, 89). With a median post-discontinuation follow-up of 38 months ( IQR: 15, 68), cumulative TFR rates at 6, 12, 24, and 36 months were 74.1%, 60.7%, 60.7%, and 56.0%, respectively, generating an overall TFR rate of 58.3%. Fifteen patients lost major molecular response at a median of 5 months post-discontinuation ( IQR: 3, 11). All 15 patients resumed tyrosine kinase inhibitor therapy, comprising 13 who restarted IM and 2 who switched to dasatinib. By the last follow-up, 13 (86.7% ) patients regained DMR after a median treatment duration of 5 months ( IQR: 3, 17), and no disease progression occurred in any patient. Withdrawal syndrome occurred in 2 (5.6% ) patients. Univariate analysis revealed significantly higher TFR rates in patients with pre-discontinuation IM duration of ≥100 months vs <100 months (82.4% vs 36.8%, P=0.017) and pre-discontinuation DMR duration of ≥72 months vs <72 months (84.2% vs 29.4%, P=0.003). Multivariate Cox analysis identified pre-discontinuation DMR duration as an independent protective factor for TFR ( HR=5.419, 95% CI: 1.524–19.272, P=0.009) . Conclusion:DMR duration was identified as an independent protective factor influencing TFR outcomes in children and adolescent patients with CML after IM discontinuation. Patients who maintained DMR for ≥72 months before IM discontinuation demonstrated a significantly higher TFR rate.

Objective:To evaluate the clinical characteristics of Crohn's disease (CD) patients with secondary upper gastrointestinal fistulas and analyze risk factors for recurrence.Methods:A restrospective observational research method was performed. Clinical data of CD patients with secondary upper gastrointestinal fistulas treated at Eastern Theater General Hospital of PLA from January 2010 to August 2024 were analyzed. Based on postoperative recurrence of upper gastrointestinal fistulas, the patients were divided into recurrence group and non-recurrence group. Differences in clinical data between the two groups were compared, and further multivariate Logistic regression analysis was used to identify the risk factors for fistula recurrence.Results:A total of 72 CD patients with secondary upper gastrointestinal fistulas were included, consisting of 48 males and 24 females, with a mean age of 39±12 years and a disease duration of 97±56 months, accounting for 2.8% of all CD patients undergoing surgeries during the same period. Among these patients, 75 upper gastrointestinal fistulas from 72 patients were identified, including 67 patients of simple duodenal fistula, 2 of simple gastric fistula, and 3 of double fistulas (2 of double duodenal fistulas and 1 of duodenal fistula combined with gastric fistula) .The preoperative diagnostic positivity rates were 55.6% (40/72) for gastroscopy, 54.2% (39/72) for upper gastrointestinal contrast imaging, 22.2% (16/72) for abdominal CT, and 22.2% (16/72) for colonoscopy. A history of biologic therapy was present in 33.3% (24/72) of patients, but none achieved fistula healing. All 72 patients underwent surgical treatment, with primary lesion surgical approaches including resection with anastomosis (37 patients, 51.4%) and resection with stoma (35 patients, 48.6%). Except for one gastric fistula treated by resection, all other fistulas underwent primary repair. During a median follow-up of 69 (40, 113) months, 8 patients (11.1%) required reoperation due to recurrent upper gastrointestinal fistulas (classified as the recurrence group), while the remaining 64 patients were assigned to the non-recurrence group. Univariate analysis revealed that the recurrence group had a higher proportion of patients aged 30-40 years ( P = 0.003), malnutrition ( P = 0.040), and anastomosis near the duodenum ( P = 0.047), but a lower proportion of postoperative biologic use ( P = 0.007) .Multivariate Logistic regression analysis showed that malnutrition and anastomosis near the duodenum were not the risk factors for duodenal fistula recurrence (both P > 0.05) . Conclusions:Upper gastrointestinal fistulas secondary to CD are rare, predominantly presenting as simple duodenal fistulas. Diagnosis primarily relies on gastroscopy and gastrointestinal contrast imaging. Biologic therapy shows poor efficacy, and most patients do not recur after the primary repair surgery of duodenal fistulas.

Objective:To construct a risk prediction model based on explainable intelligence(XAI)analysis algorithms for orthopedic consumables in surgery room,and improve the management quality of controlling risk for orthopedic consumables in surgery room.Methods:A risk index system for orthopedic consumables in the surgery room was established through researching literature and using Delphi method.The data of supply and use of consumables were collected to construct a risk prediction model.Risk control paths were formulated from three aspects included formulating preoperative plan,intraoperative dynamic allocation,and postoperative tracking and feedback.A total of 6,572 sets of orthopedic consumables that were used in the surgery room of the 960th Hospital of People's Liberation Army Joint Service Support Force from January 2021 to December 2024 were selected.The 3,185 sets of orthopedic consumables that were used during January 2021 and December 2022 were managed by using conventional method of controlling and managing risk.The 3,387 sets of orthopedic consumables that were used during January 2023 and December 2024 were managed by using intelligent method of controlling and managing risk.The early warning capabilities for risk,and the control quality for risk between the two management methods were compared.A self-made satisfaction survey questionnaire was adopted to investigate the satisfaction scores of medical staffs and managers for consumables in the surgery room for the two management methods.Results:The average accuracy rates of using the intelligent method of controlling and managing risk in predicting formulating preoperative plan,intraoperatively dynamic allocation,and postoperative tracking and feedback for early warning events of risk in 157,247 and 57 consumables were respectively 49.68%(78/157),42.11%(104/247)and 56.14%(32/57),all of which were higher than those of conventional method of controlling and managing risk,and the difference were statistically significant(x2=9.475,23.637,13.035,P<0.05).The average reduction rate of risk events of consumables,the average intervention rate of abnormal use of consumables,and the mean value of enhance degree of turnover efficiency of consumables were respectively(6.25±1.59)%,(87.93±4.44)%and(4.78±1.69)%,all of which were higher than those of conventional method of controlling and managing risk,and the differences were statistically significant(t=4.952,6.257,4.660,P<0.05).The scores of medical staffs and managers in surgery room for acceptance of early warning for risk,support of management decision,satisfaction of using consumables,and assessment results of training by adopting intelligent method of controlling and managing risk were all higher than those by adopting conventional method of controlling and managing risk,and the differences were statistically significant(t=3.368,3.082,3.701,4.558,P<0.05).Conclusion:The application of prediction model based on XAI analysis algorithm for risk of orthopedic consumables in the surgery room can improve the accuracy of early warning for risk of orthopedic consumables in the surgery room,and reduce the incidence of risk events,and enhance the ability of emergent response for risk,and improve the quality of clinical services.

Objective:To identify circulating proteins associated with cardiovascular, renal, and cardiorenal comorbidity events in individuals with metabolic syndrome, to construct a predictive model incorporating these proteins to improve prediction accuracy and to investigate their mediating effects on the interplay between cardiovascular and renal diseases.Methods:Data from the UK Biobank cohort were utilized. Cox proportional hazards models were applied to identify circulating proteins associated with various outcomes, followed by time-truncated sensitivity analyses. A predictive model incorporating protein scores was then developed using the LightGBM algorithm and compared with other models. Gene Ontology(GO) functional enrichment analysis was performed to explore the biological pathways of the identified proteins. Finally, mediation effect analysis was conducted to assess the role of circulating proteins in cardiorenal interactions. Results:The Cox analysis identified 180, 275, and 322 circulating proteins associated with cardiovascular events, renal events, and cardiorenal comorbidity events, respectively. Incorporating protein scores significantly improved model performance; the areas under the curve(AUC) for cardiovascular, renal, and cardiorenal events were 0.833, 0.907, and 0.890, respectively. GO functional enrichment analysis demonstrated significant enrichment in pathways such as cytokine activity(GO: 0005125), glycosaminoglycan binding(GO: 0005539), and humoral immune response(GO: 0006959) among all outcome-related proteins. Notably, EDA2R, GDF15, and WFDC2 exhibited significant mediating effects, each with mediation proportions exceeding 10%. Conclusions:A predictive model incorporating circulating protein scores can substantially improve prediction accuracy for cardiovascular and renal outcomes in individuls with metabolic syndrome.

Objective To observe the influence of different energy windows of the medium-energy general-purpose(MEGP)collimator on image quality,so as to optimize the energy window of yttrium-90(90Y)bremsstrahlung SPECT imaging.Methods 90Y bremsstrahlung spectrum was acquired,and the sensitivity,percentage of the source counts in useful field of view(S/FOV%)and signal-to-background ratio(S/B)of 90Y bremsstrahlung SPECT imaging at MEGP under different energy windows were compared.Results The energy spectrum of 90Y bremsstrahlung was a continuous curve,with the peak of 76.2 keV with MEGP collimator.The images obtained with MEGP collimator were clear,and no significant differences of S/FOV%nor S/B was found between 10%and 20%window width groups(both P＞0.05),but the sensitivities of the latter was higher than the former(P＜0.05).The sensitivity of 70-90 keV images was relatively high,while the S/FOV%and S/B had decreased.The S/FOV%and S/B of images ranging from 40-60 keV were high,but the sensitivity was low.Images acquired with 100 keV±20%showed fairly high sensitivity,S/FOV%and S/B,which was 69.73%,0.62 and 1.64,respectively.Conclusion When performing 90Y bremsstrahlung SPECT with MEGP collimator,the image quality at 20%window width was better than at 10%window width,and 100 keV±20%showed fairly high sensitivity and not significantly decreased S/FOV%and S/B.

Xiaoxuming decoction is one of the classical prescriptions in ancient times,mainly used for treating stroke syndrome,with significant therapeutic effects.Recent studies have found that it is also effective for other neurological diseases besides stroke,such as facial paralysis and vertigo,but there are few reports on related achievements,lacking systematic organization and summary.This article systematically summarizes the application practice and mechanism of Xiaoxuming decoction in the above-mentioned diseases,aiming to provide a solid foundation and scientific reference for deepening the exploration of Xiaoxuming decoction in the field of nervous system disease.