Objective:To investigate human factors underlying radiotherapy planning safety incidents and quantitatively explore their interrelationships.Methods:A total of 1 619 safety incidents recorded in the automated plan checking system developed by West China Hospital of Sichuan University were utilized. Human factors were identified and statistically analyzed using the Human Factors Analysis and Classification System (HFACS). A Bayesian network model was developed and combined with sensitivity analysis for quantitative assessment.Results:Key contributing factors included organizational processes (12.89%), inadequate supervision (11.85%), and personnel factors (13.50%). Utilizing the established HFACS Bayesian network hybrid model in conjunction with sensitivity analysis, it has been found that the most significant influences on skill‐based errors and decision errors were condition of operators and environmental factors, with corresponding indices of 0.96 and 0.76. Additionally, personnel factors had the greatest impact on routine, with an index of 3.51.Conclusions:Key contributing factors span all HFACS levels, with organizational processes, supervision, personnel, and condition of operators each playing a significant role. Upstream factors — such as organizational climate, environment factors, and personnel factors — strongly influence downstream risks. These offer actionable insights for developing targeted safety protocols.

Objective To explore the impact of different delay time of umbilical cord ligation on the outcome of preterm infants.Methods A total of 266 preterm infants born in the obstetric department of this hospital from January 2021 to December 2022 were selected as the research subjects and divided into the in-stant group(umbilical cord ligation immediately after birth,n=53),30 s group(delayed umbilical cord liga-tion for 30 s,n=50),60 s group(delayed umbilical cord ligation for 60 s,n=55),90 s group(delayed umbili-cal cord ligation for 90 s,n=55)and 120 s group(delayed umbilical cord ligation for 120 s,n=52)according to the random number table method.The Hb and HCT levels and the incidence rates of anemia,blood transfu-sion,hyperbilirubinemia,intracranial hemorrhage,necrotizing enterocolitis(NEC)and bronchopulmonary dys-plasia(BPD)after birth were compared among 5 groups.Results The Hb and HCT levels at 24 h after birth in the 60,90,120 s groups were higher than those in the instant group and 30 s group,moreover the 120 s group was higher than the 60 s group and 90 s group,and the differences were statistically significant(P＜0.05).The anemia incidence rate and blood transfusion rate in the 60,90,120 s groups were lower than those in the instant group and 30 s group,and the differences were statistically significant(P＜0.05).The hyperbil-irubinemia incidence rate in the 120 s group was higher than that in the other 4 groups,and the difference was statistically significant(P＜0.05).The intracranial hemorrhage incidence rate in the 60,90,120 s groups were lower than those in the instant group and 30 s group,and the differences were statistically significant(P＜0.05).The NEC incidence rate in the 60 s and 90 s group was lower than that in the instant group and 30 s group,but the 120 s group was higher than that in the other 4 groups,and the differences were statistically significant(P＜0.05).The BPD incidence rate had no statistical difference among 5 groups(P＞0.05).Con-clusion Delayed umbilical cord ligation for 60 s or 90 s could improve the outcomes of preterm infants.

With the rapid advancement of artificial intelligence(AI)in healthcare,clinical decision support system(CDSS)is gradually integrated into clinical workflows.While CDSS enhances diagnostic and therapeutic efficiency and accuracy,it has also sparked complex debates regarding accountability.This article systematically examines the current global landscape of accountability challenges associated with CDSS.It delves into the mechanisms underlying these challenges,focusing on 5 key dimensions:ambiguity in liability attribution,the"black-box"nature of algorithms,data bias,backward legal and regulatory systems,and heterogeneity in deployment environments.To address these issues,a collaborative governance framework centered on whole-lifecycle governance is proposed.Specifically,the framework advocates:enhancing AI trustworthiness through technical pathways;constructing innovative mechanisms such as risk-based tiered regulation and no-fault compensation funds through legal and regulatory pathways;strengthening institutional internal controls through organizational pathways;and reshaping a new professional paradigm of"human-AI collaboration"through ethical and educational pathways.The study argues that resolving CDSS accountability dilemmas is not only critical for fostering trustworthy AI in medicine but also essential for safeguarding patient safety,ensuring healthcare equity,and providing clinicians with clear liability boundaries and robust professional protections amid technological transformation.

Objective:To investigate human factors underlying radiotherapy planning safety incidents and quantitatively explore their interrelationships.Methods:A total of 1 619 safety incidents recorded in the automated plan checking system developed by West China Hospital of Sichuan University were utilized. Human factors were identified and statistically analyzed using the Human Factors Analysis and Classification System (HFACS). A Bayesian network model was developed and combined with sensitivity analysis for quantitative assessment.Results:Key contributing factors included organizational processes (12.89%), inadequate supervision (11.85%), and personnel factors (13.50%). Utilizing the established HFACS Bayesian network hybrid model in conjunction with sensitivity analysis, it has been found that the most significant influences on skill‐based errors and decision errors were condition of operators and environmental factors, with corresponding indices of 0.96 and 0.76. Additionally, personnel factors had the greatest impact on routine, with an index of 3.51.Conclusions:Key contributing factors span all HFACS levels, with organizational processes, supervision, personnel, and condition of operators each playing a significant role. Upstream factors — such as organizational climate, environment factors, and personnel factors — strongly influence downstream risks. These offer actionable insights for developing targeted safety protocols.

Background:Following the short-term outbreak of coronavirus disease 2019(COVID-19)in December 2022 in China,clinical data on kidney transplant recipients(KTRs)with COVID-19 are lacking.Methods:We conducted a single-center retrospective study to describe the clinical features,complications,and mortality rates of hospitalized KTRs infected with COVID-19 between Dec.16,2022 and Jan.31,2023.The patients were followed up until Mar.31,2023.Results:A total of 324 KTRs with COVID-19 were included.The median age was 49 years.The median time between the onset of symptoms and admission was 13 d.Molnupiravir,azvudine,and nirmatrelvir/ritonavir were administered to 67(20.7%),11(3.4%),and 148(45.7%)patients,respectively.Twenty-nine(9.0%)patients were treated with more than one antiviral agent.Forty-eight(14.8%)patients were treated with tocilizumab and 53(16.4%)patients received baricitinib therapy.The acute kidney injury(AKI)occurred in 81(25.0%)patients and 39(12.0%)patients were admitted to intensive care units.Fungal infections were observed in 55(17.0%)patients.Fifty(15.4%)patients lost their graft.The 28-d mortality rate of patients was 9.0%and 42(13.0%)patients died by the end of follow-up.Multivariate Cox regression analysis identified that cerebrovascular disease,AKI incidence,interleukin(IL)-6 level of>6.8 pg/mL,daily dose of corticosteroids of>50 mg,and fungal infection were all associated with an increased risk of death for hospitalized patients.Conclusions:Our findings demonstrate that hospitalized KTRs with COVID-19 are at high risk of mortality.The administration of immunomodulators or the late application of antiviral drugs does not improve patient survival,while higher doses of corticosteroids may increase the death risk.

Objective:To explore the changes in acoustic features of 9-10-year-old primary school students with depressive symptoms, and based on these features and the random forest (RF) algorithm, construct a model for identifying depressive symptoms in primary school students, so as to provide an intelligent psychological health screening tool for schools and education departments.Methods:This was a case-control study.A total of 1 186 primary school students aged 9-10 from three primary schools in three regions of Jiangsu Province were selected as research subjects for psychological health screening from October 26, 2022 to February 13, 2023.Their demographic data, Depression-Anxiety-Stress Scale (DASS-21) scores, Insomnia Severity Index scores, and voice recordings were collected.Based on the DASS-21 scores, the participants were divided into a control group ( n=1 086) and a depression group ( n=100).Voice recordings were made using the neutral text " The North Wind and the Sun". openSMILE was used to extract 523 acoustic features from the pre-processed voice recordings.Group differences were assessed using independent-samples t-tests or chi-square tests.Pearson correlation analysis was conducted to examine the relationship between acoustic features and depression scores.Depressive symptoms were set as the dependent variable, and the correlated acoustic features were set as the independent variable to construct a classification model using the RF algorithm.The model performance was assessed using the receiver operating characteristic (ROC) curve, the area under the curve (AUC), precision, accuracy, recall, and F1 score. Results:Compared with the control group, the depression group showed significant differences in 105 acoustic features (44 spectral features, 49 source features, and 12 prosodic features) (all P<0.05).Correlation analysis showed that 12 acoustic features (7 spectral features, 4 source features, and 1 prosodic feature) were significantly correlated with the depression score (all P<0.05).Among the RF algorithm-based classification models, the spectral features demonstrated superior performance compared to source features and prosodic features (AUC=0.793), and the performance of the model based on the combination of these features was the best (AUC=0.818). Conclusions:Acoustic features may be an objective indicator to identify the depression of 9-10-year-old primary school students, and the classification model established based on acoustic features can identify the depressed primary school students.

Objective:To analyze human factors in radiotherapy safety incidents and identify their correction for the purpose of mining the latent incident chains.Methods:A total of 60 radiotherapy safety incidents were included in the Radiation Oncology Incident Learning System (ROILS) for cause identification and frequency statistics using the Human Factors Analysis and Classification System (HFACS). Latent class analysis (LCA) was performed for the result to correlate the incident causes.Results:Incidents in the protocol design stage were the most common, accounting for 35%. Adverse organizational climate, inadequate supervision, and personnel factors were the primary causes of incidents at each level of the HFACS, accounting for 4.66%, 15.68%, and 16.20%, respectively. Three latent incident chains were identified through LCA, comprising two originating from organizational climate issues and one from organizational process issues, which were passed down via various human factors or " loopholes"Conclusions:HFACS assists in tracing the human factors at all levels that lead to radiotherapy safety incidents. The high-frequency causes and three latent chains of radiotherapy incidents found in this study can provide a guide for the development of targeted safety and defense measures.

Objective:To investigate the clinical effects and related mechanism of antibiotic bone cement in treating diabetic foot ulcer (DFU).Methods:A prospective randomized controlled study was conducted. From August 2020 to August 2022, 24 patients with DFU who met the inclusion criteria were admitted to the First Affiliated Hospital of Air Force Medical University. According to the block randomization, the patients were divided into 2 groups, with 12 patients in each group. In antibiotic bone cement group, there were 7 male and 5 female patients, aged (64±8) years, with the ulcer area of (41±21) cm 2. In silver sulfadiazine group, there were 8 male and 4 female patients, aged (62±8) years, with the ulcer area of (38±19) cm 2. Under the condition of ensuring the patency of at least one main inferior genicular artery in each patient, the continuous vacuum sealing drainage was performed for 3-5 days after thorough debridement. Thereafter, the wounds in antibiotic bone cement group were treated with gentamicin-laden bone cement, and the wounds in silver sulfadiazine group were treated with silver sulfadiazine cream for dressing change. After 3 weeks of dressing change, the wound was covered with split-thickness skin graft from the lateral thigh on the affected side. Before debridement and after 3 weeks of dressing change, the blood flow intensities of wound tissue and normal skin tissue in foot were measured using laser Doppler flowmeter, and then, the percentage of relative blood flow intensity of wound and the change rate of blood flow intensity were calculated. After 3 weeks of dressing change, the wound margin tissue was taken, the number of CD31-positive neovascular and the vascular morphology were observed and detected by immunohistochemical staining, the morphology of blood vessels surrounded by CD31 and α-smooth muscle actin (α-SMA) double-positive cells was observed by immunofluorescence staining, the cell proliferation activity was evaluated by immunofluorescence staining (denoted as the ratio of Ki67 positive cells), and the protein expression of vascular endothelial growth factor receptor 2 (VEGFR2) was detected by Western blotting. The skin graft survival was observed 3-5 days after skin grafting, and the wound healing time was recorded. Data were statistically analyzed with independent sample t test and Fisher's exact probability test. Results:The percentages of relative blood flow intensity of wounds of patients before debridement were similar between the two groups ( P>0.05). After 3 weeks of dressing change, the percentage of relative blood flow intensity of wounds and the change rate of blood flow intensity of patients in antibiotic bone cement group were (44.7±2.0)% and (129±12)%, respectively, which were significantly higher than (28.3±1.2)% and (41±8)% in silver sulfadiazine group (with t values of 24.15 and 20.97, respectively, P<0.05). After 3 weeks of dressing change, compared with those in silver sulfadiazine group, the number of CD31-positive neovascular in the wound margin tissue of patients in antibiotic bone cement group was significantly increased ( t=33.81, P<0.05) with larger diameter and more regular arrangement, the vascular wall continuity surrounded by CD31 and α-SMA double-positive cells was better, and the ratio of Ki67 positive cells and protein expression of VEGFR2 were significantly increased (with t values of 40.97 and 47.38, respectively, P<0.05). On post skin grafting day 3-5, all the patients in antibiotic bone cement group and 8 patients in silver sulfadiazine group had good skin graft survival, while 4 patients in silver sulfadiazine group showed spotted/patchy skin graft necrosis, which were cured after corresponding treatment. The wound healing time of patients in antibiotic bone cement group was (47.1±2.9) d, which was significantly shorter than (58.8±2.3) d in silver sulfadiazine group ( t=10.86, P<0.05). Conclusions:Compared with silver sulfadiazine, clinical application of antibiotic bone cement for treating DFU has the characteristics of accelerating wound healing and better reconstruction of local blood flow, which may be closely related to the fact that antibiotic bone cement promoted the local angiogenesis effectively in the wound through enhancing the expression of VEGFR2.

Patients with chronic hepatitis B (CHB) often have immune-mediated liver injury, and it is considered that the interaction between viral infection and immune response is an important cause of disease progression. CHB can progress to liver fibrosis, liver cirrhosis, and even hepatocellular carcinoma (HCC). This article reviews the discovery of T helper 17 (Th17) cells and regulatory T (Treg) cells, describes their own features, and elaborates on their role and mechanism of action in maintaining the stability of the immune system. This article also analyzes the role of Th17/Treg cell imbalance in CHB, liver fibrosis, liver cirrhosis, and HCC and points out that Th17/Treg cell imbalance may promote the aggravation of HBV-related liver diseases.

The JAK/STAT/SOCS signaling pathway can mediate a variety of cytokines involved in inflammation, tumor, and autoimmune diseases and it also plays an important role in hepatitis B virus (HBV) infection-related liver diseases. This article briefly reviews the structure and signal pathway regulation of JAK-STAT and SOCS and elaborates on their role in the development and progression of HBV-related chronic hepatitis B, liver cirrhosis, liver failure, and hepatocellular carcinoma. The final analysis shows that the JAK/STAT/SOCS signaling pathway is dysregulated in HBV-related liver disease and is involved in the development and progression of the disease, and it may even influence the treatment and prognosis of the disease.