Objective:To investigate the distribution and clinical significance of amniotic fluid karyotype results in 2 725 cases from southern Anhui.Methods:The karyotypes of amniotic fluid from 2 725 cases of second-trimester pregnant women treated in our hospital from Jan 2017 to Dec 2023 were collected.The annual abnormal detection rate and overall abnormal rate were analyzed.Meanwhile,the abnormal detection rate was compared among 8 groups of different clinical indication including adverse pregnancy history,advanced maternal age(≥35 years),high risk of Down syndrome screening,high risk of non-invasive prenatal testing(NIPT),nuchal translucency thickness(NT)≥2.5 mm,abnormal ultrasound findings,two or more concurrent positive indications,and others.The abnormal detection rate was calculated within high risk of Down syndrome screening and NIPT.Results:Significant differences in annual abnormal rates were observed from 2017 to 2023(χ2=19.705,P=0.003).Among 2 725 cases,233(8.55%)showed abnormal karyotypes.Among them,abnormal autosomal number was the most prevalent(4.41%,120/2 725),with inversion being the most common chromosome structural abnormality.Significant differences in abnormal rates were noted among the eight clinical indication groups(χ2=438.516,P＜0.01).No statistical difference was found in abnormal detection rates among the three high-risk subgroups of Down syndrome screening(χ2=0.323,P=0.851),while significant differences were observed within the high-risk subgroups of NIPT(χ2=100.901,P＜0.01).Polymorphisms were detected in 65 cases(2.38%).Conclusions:Chromosomal numerical and structural abnormalities have been detected in southern Anhui over the past seven years,with variations across subgroups.Karyotype analysis effectively detects second-trimester fetal chromosomal abnormalities,aiding in the prevention of birth defects and worthing clinical application.

Objective To investigate the effects of implant length,diameter,and abutment angle on bone stress distributions around maxillary central incisors,and determine the optimal parameter combination.Methods A three-dimensional(3D)model of the maxilla was reconstructed based on CBCT data.Using an orthogonal table,a total of 16 dental implant 3D models were established,varying in length,diameter,and abutment angle.These models were assembled with the maxillary and rigid-body models.Finite element analysis was performed using the transient dynamics module of ANSYS.Orthogonal experiments and one-way analysis of variance(ANOVA)were conducted on the obtained stress data.Results The implant diameter showed a statistically significant effect on the maximum von Mises stress in cortical bone(P=0.010),while implant length(P=0.229)and abutment angle(P=0.844)did not demonstrate a statistical significance.The optimal parameter combination for cortical bone stress was 5.0 mm implant diameter,12 mm implant length,and 0° abutment angle.In cancellous bone,implant length(P=0.001),diameter(P=0.011),and abutment angle(P=0.013)all had statistically significant effects on the maximum von Mises stress.The optimal parameter combination for cancellous bone stress was 14 mm implant length,5.0 mm implant diameter,and 5° abutment angle.Conclusions Implant diameter significantly affects the stress of both cortical and cancellous bone.Clinically,a larger diameter should be preferred to reduce the stress peak.Implant length is the next most important factor,while abutment angle has the least effect.

Objective To develop a value evaluation index system for health management and logistics positions in pub-lic hospitals,providing a research tool for future performance evaluations and salary reform.Methods Literature review,focus group interviews,and the point-factor method were employed to establish an initial index pool.A public hospital in Guangzhou was selected as a case study.Delphi expert consultation was then utilized to refine and finalize the indicators for the evaluation system.Results For the two rounds of Delphi expert consultation,the response rates were 87.5％and 100.0％,with the expert authority coefficient of 0.812.The Kendall's W coordination coefficients were 0.796 and 0.624 for the first round,and 0.747 and 0.918 for the second,(all＜0.001).The coefficients of variation ranged from 0.157 to 0.265 for the first round and from 0.108 to 0.230 for the second round.Experts provided four suggestions,leading to the removal of one secondary indicator and modifications to the definitions of three others.Finally,the evaluation system consists of 4 primary indicators and 12 secondary indicators.Conclusion This system can provide a research tool and reference for the follow-up performance evaluation,improve the salary reform of public hospitals,and promote the high-quality development of public hospitals.

Objective To investigate the effects of implant length,diameter,and abutment angle on bone stress distributions around maxillary central incisors,and determine the optimal parameter combination.Methods A three-dimensional(3D)model of the maxilla was reconstructed based on CBCT data.Using an orthogonal table,a total of 16 dental implant 3D models were established,varying in length,diameter,and abutment angle.These models were assembled with the maxillary and rigid-body models.Finite element analysis was performed using the transient dynamics module of ANSYS.Orthogonal experiments and one-way analysis of variance(ANOVA)were conducted on the obtained stress data.Results The implant diameter showed a statistically significant effect on the maximum von Mises stress in cortical bone(P=0.010),while implant length(P=0.229)and abutment angle(P=0.844)did not demonstrate a statistical significance.The optimal parameter combination for cortical bone stress was 5.0 mm implant diameter,12 mm implant length,and 0° abutment angle.In cancellous bone,implant length(P=0.001),diameter(P=0.011),and abutment angle(P=0.013)all had statistically significant effects on the maximum von Mises stress.The optimal parameter combination for cancellous bone stress was 14 mm implant length,5.0 mm implant diameter,and 5° abutment angle.Conclusions Implant diameter significantly affects the stress of both cortical and cancellous bone.Clinically,a larger diameter should be preferred to reduce the stress peak.Implant length is the next most important factor,while abutment angle has the least effect.

Objective:To analyze the clinical features and prognosis of acute B lymphoblastic leukemia (B-ALL) children carrying a TCF3: : PBX1 fusion gene and to evaluate the prognostic value of this gene.Methods:Retrospective cohort study.A total of 2 164 B-ALL children aged 0-18 years diagnosed and treated at 19 pediatric centers from October 2016 to June 2022 were enrolled.They were divided into the positive group and the negative group according to whether they carried a TCF3: : PBX1 fusion gene.The clinical characteristics, treatment response, adverse reactions, and prognosis of the 2 groups of patients were analyzed.The rank sum and Kruskal-Wallis tests were used to compare two and more than two groups of numerical variables, respectively.Fisher′s exact test was used to compare categorical variables.Results:Among the 2 164 patients, 116 (5.4%) were TCF3: : PBX1 positive, of which 70 patients were female, accounting for 60.3%.There were 840 female patients in the TCF3: : PBX1-negative group, accounting for 41.0%.There was a significant difference in the ratio of females between the TCF3: : PBX1-positive and TCF3: : PBX1-negative groups ( P<0.001).No significant difference was observed in age of onset between the two groups( P>0.05).The proportion of bone marrow naive cells [54.00 (14.00, 76.50)% vs.29.00 (3.00, 68.00)%], white blood cell counts [25.30 (10.46, 60.94)×10 9/L vs.9.03 (4.38, 30.73)×10 9/L] and hemoglobin counts [82.00(63.00, 101.00) g/L vs.74.00(60.00, 90.00) g/L] in the TCF3: : PBX1-positive group were significantly higher than those in the negative group at the onset (all P<0.05).In terms of treatment response, the proportion of peripheral blood naive cells on Day 8 in the TCF3: : PBX1-positive group was significantly higher than that in the negative group [2.00 (0, 9.00)% vs.0 (0, 2.00)%, P<0.001].The proportion of minimal residual disease <0.1% on Day 15 in the TCF3: : PBX1-positive group was significantly higher than that in the negative group ( P=0.038).There were no significant differences in cumulative recurrence rate, treatment-related mortality (TRM), and overall survival (OS) between the TCF3: : PBX1-positive group and TCF3: : PBX1-negative group (all P>0.05).The cumulative recurrence risk of TCF3: : PBX1-positive patients was 9.646 times higher than that of ETV6: : RUNX1-positive patients with better prognosis( HR=9.646, 95% CI: 1.026-90.700, P=0.047).There were no significant differences in TRM and OS between TCF3: : PBX1-positive and ETV6: : RUNX1-positive patients (all P>0.05).A significant enrichment of PAX5 mutations was detected in TCF3: : PBX1-positive patients.Among the 7 high-risk TCF3: : PBX1-positive patients in a single center, 4 patients had PAX5 mutations, and this proportion was significantly higher than that in other patients ( P<0.001). Conclusions:B-ALL children carrying a TCF3: : PBX1 fusion gene have a high remission rate and good long-term prognosis after intensive chemotherapy.It is suggesting that TCF3: : PBX1-positive B-ALL patients should be rated at intermediate risk to receive intensive chemotherapy.

Objective:To establish a deployment management mode for life-supporting equipment,so as to provide reference for healthcare institutions in deployment management for equipment in responding public health emergencies.Methods:The existed problems of healthcare institutions in facing public health emergencies were analyzed.Based on evidence-based practices from domestic and international healthcare institutions in responding public health emergencies,and combined with the experiences of West China Hospital of Sichuan University in preventing and treating epidemic infection of public health emergencies,a scheme of deployment management of life-supporting equipment,and an assessment scheme that precisely matched mode and equipment for supporting respiratory were formulated.The ventilator-related medical consumables was standardly managed.A deployment management mode for life-supporting equipment was constructed to conduct deployment management for the using 293 non-invasive ventilators and 112 high-flow non-invasive respiratory humidification devices in our hospital from December 26,2022,to January 20,2023.Results:During the period of deployment management for 293 non-invasive ventilators,a total of 7492 prescriptions of non-invasive ventilation were completed,and 3183 prescriptions of non-invasive(high-follow)ventilation of using 112 high-flow non-invasive respiratory humidification devices were completed at the same period,which better ensured the requirements of all patients in clinical treatment.The average turnaround time of equipment was shorted from 22.5 min before deployment management mode was implemented to 12.6 min after it was implemented.The accuracy rate of healthcare personnel was 100%in preparing medical consumables.Conclusion:The deployment management mode of life-supporting equipment can increase the use rate of limited life-supporting equipment at the maximum degree,and increase the turnover efficiency of equipment,and decrease turnover time and vacancy rate of equipment,and increase the accuracy rate of preparing medical consumables,and meet the requirement of clinical treatment under the premise of"overall deployment and coordinated management".

Objective:To analyze the clinical features and prognosis of acute B lymphoblastic leukemia (B-ALL) children carrying a TCF3: : PBX1 fusion gene and to evaluate the prognostic value of this gene.Methods:Retrospective cohort study.A total of 2 164 B-ALL children aged 0-18 years diagnosed and treated at 19 pediatric centers from October 2016 to June 2022 were enrolled.They were divided into the positive group and the negative group according to whether they carried a TCF3: : PBX1 fusion gene.The clinical characteristics, treatment response, adverse reactions, and prognosis of the 2 groups of patients were analyzed.The rank sum and Kruskal-Wallis tests were used to compare two and more than two groups of numerical variables, respectively.Fisher′s exact test was used to compare categorical variables.Results:Among the 2 164 patients, 116 (5.4%) were TCF3: : PBX1 positive, of which 70 patients were female, accounting for 60.3%.There were 840 female patients in the TCF3: : PBX1-negative group, accounting for 41.0%.There was a significant difference in the ratio of females between the TCF3: : PBX1-positive and TCF3: : PBX1-negative groups ( P<0.001).No significant difference was observed in age of onset between the two groups( P>0.05).The proportion of bone marrow naive cells [54.00 (14.00, 76.50)% vs.29.00 (3.00, 68.00)%], white blood cell counts [25.30 (10.46, 60.94)×10 9/L vs.9.03 (4.38, 30.73)×10 9/L] and hemoglobin counts [82.00(63.00, 101.00) g/L vs.74.00(60.00, 90.00) g/L] in the TCF3: : PBX1-positive group were significantly higher than those in the negative group at the onset (all P<0.05).In terms of treatment response, the proportion of peripheral blood naive cells on Day 8 in the TCF3: : PBX1-positive group was significantly higher than that in the negative group [2.00 (0, 9.00)% vs.0 (0, 2.00)%, P<0.001].The proportion of minimal residual disease <0.1% on Day 15 in the TCF3: : PBX1-positive group was significantly higher than that in the negative group ( P=0.038).There were no significant differences in cumulative recurrence rate, treatment-related mortality (TRM), and overall survival (OS) between the TCF3: : PBX1-positive group and TCF3: : PBX1-negative group (all P>0.05).The cumulative recurrence risk of TCF3: : PBX1-positive patients was 9.646 times higher than that of ETV6: : RUNX1-positive patients with better prognosis( HR=9.646, 95% CI: 1.026-90.700, P=0.047).There were no significant differences in TRM and OS between TCF3: : PBX1-positive and ETV6: : RUNX1-positive patients (all P>0.05).A significant enrichment of PAX5 mutations was detected in TCF3: : PBX1-positive patients.Among the 7 high-risk TCF3: : PBX1-positive patients in a single center, 4 patients had PAX5 mutations, and this proportion was significantly higher than that in other patients ( P<0.001). Conclusions:B-ALL children carrying a TCF3: : PBX1 fusion gene have a high remission rate and good long-term prognosis after intensive chemotherapy.It is suggesting that TCF3: : PBX1-positive B-ALL patients should be rated at intermediate risk to receive intensive chemotherapy.

OBJECTIVE To systematically evaluate medication risk prediction models for hospitalized adult patients and provide references for their development and clinical application. METHODS Databases including PubMed， Embase， Web of Science， CNKI， Wanfang data， VIP and CBM were searched for studies on medication risk prediction models from their inception to May 2024. After screening the literature， extracting data， and evaluating the quality of the literature， descriptive analysis was performed on the results of the included studies. RESULTS A total of 13 studies were included， involving 12 models. Nine studies used Logistic regression algorithm for modeling， and the number of included predictive factors ranged from 3 to 11； the area under the receiver operating characteristic curve ranged from 0.65 to 0.865. The literature quality evaluation results showed that 10 studies had high risk of bias； 10 studies had high applicability risk. A total of 31 predictive factors were extracted， including 15 items of basic patient information， 3 test indicators， and 5 items of medication information， and 8 others. CONCLUSIONS The existing medication risk prediction models for hospitalized adult inpatients are mainly Logistic regression algorithm， with predictive factors mainly focusing on basic indicators such as demographics. The overall prediction performance of the models needs to be improved， and the overall risk of bias is relatively high.

Objective To analyze the main epidemiological characteristics of fungal infection in this hospital in the past 7 years,and to provide reference for clinical treatment and prevention and control strategies of fun-gal infection.Methods The fungal data and clinical data of related patients isolated from clinical samples in Peking Union Medical College Hospital from early January 2018 to the end of May 2024 were selected,and the main epidemiological characteristics of fungal infection in this hospital were identified and described through multi-angle statistical analysis.Results A total of 4 479 patients with filamentous fungal infection were en-rolled.The proportion of male patients[57.5％(2 576/4 479)]was higher than that of female patients[42.5％(1 903/4 143)],mainly distributed in internal medicine,Intensive Care Unit(ICU)and emergency de-partment,among which internal medicine accounted for the highest proportion[50.0％(2 241/4 479)].About 90.0％of the specimens were from the lower respiratory tract,in addition to specimens from skin and soft tis-sue,tissue,ear and blood culture.In terms of seasonal distribution,there are more patients in winter.The fun-gi were mainly composed of Aspergillus,Mucor,Cerdosporium,Fusarium and Penicillium,among which As-pergillus was the most abundant,accounting for 74.6％of the total.Aspergillus fumigatus was the most a-bundant Aspergillus,accounting for 42.5％of the total Aspergillus(1 418/3 340).Among the related infec-tions caused by mold,Aspergillus was the most common in the lower respiratory tract,accounting for 76.8％.Among them,Aspergillus fumigatus accounted for the highest proportion(33.6％).98.6％of the molds infected the ear were Aspergillus,of which Aspergillus niger and Aspergillus terreus were the most common.Skin infections are mainly caused by Sporothrix schenckii,Trichophyton rubrum,Microsporum ca-nis.The results of in vitro drug sensitivity test showed that the four common Aspergillus isolated in this hos-pital were sensitive to voriconazole,and amphotericin B had better antifungal activity against Mucorales in vitro.Conclusion Based on the main epidemiological characteristics of fungal infections in this hospital,it is recommended that special attention be paid to the admission of patients in the respiratory department during the peak infection period in autumn and winter.In the treatment of fungal infections in different regions and on different body parts,attention should be paid to the differences in the distribution of bacterial species.

Objective:To establish a deployment management mode for life-supporting equipment,so as to provide reference for healthcare institutions in deployment management for equipment in responding public health emergencies.Methods:The existed problems of healthcare institutions in facing public health emergencies were analyzed.Based on evidence-based practices from domestic and international healthcare institutions in responding public health emergencies,and combined with the experiences of West China Hospital of Sichuan University in preventing and treating epidemic infection of public health emergencies,a scheme of deployment management of life-supporting equipment,and an assessment scheme that precisely matched mode and equipment for supporting respiratory were formulated.The ventilator-related medical consumables was standardly managed.A deployment management mode for life-supporting equipment was constructed to conduct deployment management for the using 293 non-invasive ventilators and 112 high-flow non-invasive respiratory humidification devices in our hospital from December 26,2022,to January 20,2023.Results:During the period of deployment management for 293 non-invasive ventilators,a total of 7492 prescriptions of non-invasive ventilation were completed,and 3183 prescriptions of non-invasive(high-follow)ventilation of using 112 high-flow non-invasive respiratory humidification devices were completed at the same period,which better ensured the requirements of all patients in clinical treatment.The average turnaround time of equipment was shorted from 22.5 min before deployment management mode was implemented to 12.6 min after it was implemented.The accuracy rate of healthcare personnel was 100%in preparing medical consumables.Conclusion:The deployment management mode of life-supporting equipment can increase the use rate of limited life-supporting equipment at the maximum degree,and increase the turnover efficiency of equipment,and decrease turnover time and vacancy rate of equipment,and increase the accuracy rate of preparing medical consumables,and meet the requirement of clinical treatment under the premise of"overall deployment and coordinated management".