BackgroundPain is one of the most common physical symptoms in patients with major depressive disorder （MDD）. The high comorbidity rate of MDD and pain aggravates patients' physical and psychological distress， undermines their treatment adherence， and contributes to poor clinical outcomes， posing a critical challenge for the clinical management of MDD. Anxiety symptoms are strongly associated with the pain severity in patients with MDD， yet the underlying mechanisms of the association remain poorly elucidated. Accumulating evidence have indicated that depressive symptoms and pain vigilance and awareness are involved in the modulation of pain perception. Nevertheless， few studies have incorporated these variables into an integrated analytical framework to clarify their parallel mediating effects on the relationship between anxiety symptoms and pain severity. ObjectiveTo explore the mediating pathways linking anxiety symptoms to pain severity via depressive symptoms and pain vigilance and awareness in patients with MDD， so as to provide insights for precise intervention for MDD accompanied by pain symptoms. MethodsA total of 249 patients who met the diagnostic criteria for MDD specified in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were recruited from Beijing Huilongguan Hospital from May to September 2025. Hamilton Depression Scale-17 item （HAMD-17）， Hamilton Anxiety Scale （HAMA）， Pain Vigilance and Awareness Questionnaire （PVAQ） and Numerical Rating Scale （NRS） were used for assessment. Partial correlation analyses were performed to examine correlations among these variables. Parallel mediating effects were tested using model 4 of the Process macro for SPSS， with depressive symptoms and pain vigilance and awareness as parallel mediators linking anxiety symptoms to pain severity. ResultsA total of 135 patients （54.22%） reported pain， comprising 59 （43.70%） with mild pain， 43 （31.85%） with moderate pain， and 33 （24.45%） with severe pain. Partial correlation analyses revealed significant positive correlations among HAMD-17， HAMA， PVAQ， and NRS scores in patients with MDD （r=0.198–0.424， P<0.05 or 0.01）. Anxiety symptoms positively predicted pain severity， with a direct effect of 0.128 （95% CI： 0.065–0.190）. Both depressive symptoms and pain vigilance and awareness acted as partial mediators linking anxiety symptoms to pain severity. The indirect effects were 0.057 （95% CI： 0.029–0.089） and 0.042 （95% CI： 0.016–0.079）， accounting for 25.22% and 18.58% of the total effect， respectively. ConclusionIn patients with MDD， anxiety symptoms exert a positive predictive effect on pain severity， which is partially mediated through the parallel roles of depressive symptoms and pain vigilance and awareness.

Objective:To construct an evaluation the index system of entrustable professional activities for resident training doctors in psychiatric department,and to provide reference for formulating training strategies and assessment standards.Entrustable professional activities refers to the ability of trainees to perform and complete spe-cific clinical tasks independently after they have been trusted.Methods:Through documental analysis and semi-structured interviews,the item database of entrustable professional activities for psychiatric resident training physi-cians was established.Delphi consultation was conducted among 63 experts in the field of psychiatry from 7 national resident training bases and 3 medical colleges in China.Indicators were comprehensively screened and sorted out,and indicators at all levels and their weights were determined by the analytic hierarchy process.Results:A hierarchi-cal evaluation index system of entrustable professional activities for psychiatric resident training doctors was con-structed,including 4 first-level indicators,17 second-level indicators and 68 third-level indicators.The weights of the first-level,second-level and third-level indicators were determined.Conclusion:The evaluation index system of en-trustable professional activities is comprehensive and systematic,which is suitable for clinical work and convenient for practical application.It could provide quantitative standards for the assessment of psychiatric residents and pro-mote the improvement of training quality.

Objective:To explore the impact of adverse childhood experience on self-injury behavior and the mediating role of self hating in adolescents.Methods:A cross-sectional survey was conducted in 6 high schools and 5 middle schools in Shandong Province from August 1 to December 31, 2022, using the adverse childhood experience questionnaire, self-hating scale and non-suicidal self-injury behavior rating questionnaire for adolescents. A total of 7 313 questionnaires were collected, of which 6 948 were valid. SPSS 22.0 software was used for Spearman correlation analysis, and biased-corrected non-parametric percentile Bootstrap method was used to test the significance of mediating effect.Results:(1) The scores of adverse childhood experience(4.0(2.0, 6.0)), self-hating (22.0 (13.0, 29.0)) and self-injury behavior (12.0 (7.0, 19.0)) in adolescents with self-injury behavior were higher than those without self-injury behavior(0(0, 2.0), 2.0(0, 9.0), 0(0, 1.0)), and the differences were statistically significant ( Z=-21.700, -22.654, -29.519, all P<0.001). (2) Adverse childhood experience was positively correlated with self-hating ( r=0.46, P<0.01) and self-injury behavior ( r=0.47, P<0.01). Self-hating was positively correlated with self-injury behavior ( r=0.51, P<0.01). (3) Adverse childhood experience directly predicted self-injury behavior with a direct effect of 0.163 (95% CI =0.127-0.200, P<0.01)and the effect size of 53.80%(0.163/0.303).Adverse childhood experiences indirectly predicted self-injury behavior through self-hating, with an indirect effect of 0.140 (95% CI=0.122-0.160, P<0.001) and the effect size of 46.20%(0.140/0.303).The total effect was 0.303 (95% CI=0.270-0.336, P<0.001). Conclusions:There is a close relationship between adverse childhood experiences, self-hating and self-injury behavior in adolescents. Adverse childhood experiences can directly predict self-injury behavior, and can also indirectly affect self-injury behavior through self-hating.

Objective:A nationwide multi-center and large sample survey was conducted to compare the validity of the Mini International Neuropsychiatric Interview (Hypo-) Manic Episode with Mixed Features-DSM-5 Module (MINI-M) questionnaire and the Clinically Useful Depression Outcome Scale Supplemented with Questions for the DSM-5 Mixed Features Specifier (CUDOS-M) depression subscale in identifying mixed features in patients experiencing (hypo-) manic episodes.Methods:Using a convenience sampling method, 366 patients with bipolar disorder experiencing acute (hypo-) manic episodes who met the inclusion and exclusion criteria were recruited. The diagnosis of "with mixed features" was based on the DSM-5 criteria for mixed features. The predictive validity of the MINI-M questionnaire and the CUDOS-M depression subscale to screen mixed features was analyzed using the receiver operating characteristic (ROC) curve. Additionally, the difference in area under the ROC curve (AUC) between the two instruments was compared.Results:The AUC for the MINI-M questionnaire and the CUDOS-M depression subscale in screening mixed features were 0.79 (95 %CI=0.75-0.84) and 0.81 (95 %CI=0.77-0.86), respectively. There was no statistically significant difference in AUC between the two measurements ( Z=-1.19, P>0.05). Among patients with acute (hypo-) manic episodes, 45.9% (168/366) presented with mixed features according to the DSM-5 criteria, while the corresponding figures were 43.7% (160/366) using the MINI-M questionnaire (total score≥3) and 42.1% (154/366) using the CUDOS-M depression subscale (total score≥20). Screening results were comparable among the three measures. Conclusion:Mixed features are common among patients experiencing acute (hypo-) manic episodes. The MINI-M questionnaire and the CUDOS-M depression subscale demonstrate equivalent validity in identifying mixed features.

Objective:A nationwide multi-center and large sample survey was conducted to compare the validity of the Mini International Neuropsychiatric Interview (Hypo-) Manic Episode with Mixed Features-DSM-5 Module (MINI-M) questionnaire and the Clinically Useful Depression Outcome Scale Supplemented with Questions for the DSM-5 Mixed Features Specifier (CUDOS-M) depression subscale in identifying mixed features in patients experiencing (hypo-) manic episodes.Methods:Using a convenience sampling method, 366 patients with bipolar disorder experiencing acute (hypo-) manic episodes who met the inclusion and exclusion criteria were recruited. The diagnosis of "with mixed features" was based on the DSM-5 criteria for mixed features. The predictive validity of the MINI-M questionnaire and the CUDOS-M depression subscale to screen mixed features was analyzed using the receiver operating characteristic (ROC) curve. Additionally, the difference in area under the ROC curve (AUC) between the two instruments was compared.Results:The AUC for the MINI-M questionnaire and the CUDOS-M depression subscale in screening mixed features were 0.79 (95 %CI=0.75-0.84) and 0.81 (95 %CI=0.77-0.86), respectively. There was no statistically significant difference in AUC between the two measurements ( Z=-1.19, P>0.05). Among patients with acute (hypo-) manic episodes, 45.9% (168/366) presented with mixed features according to the DSM-5 criteria, while the corresponding figures were 43.7% (160/366) using the MINI-M questionnaire (total score≥3) and 42.1% (154/366) using the CUDOS-M depression subscale (total score≥20). Screening results were comparable among the three measures. Conclusion:Mixed features are common among patients experiencing acute (hypo-) manic episodes. The MINI-M questionnaire and the CUDOS-M depression subscale demonstrate equivalent validity in identifying mixed features.

BACKGROUND: Pneumonia-like primary pulmonary lymphoma (PPL) was commonly misdiagnosed as infectious pneumonia, leading to delayed treatment. The purpose of this study was to establish a computed tomography (CT)-based radiomics model to differentiate pneumonia-like PPL from infectious pneumonia. METHODS: In this retrospective study, 79 patients with pneumonia-like PPL and 176 patients with infectious pneumonia from 12 medical centers were enrolled. Patients from center 1 to center 7 were assigned to the training or validation cohort, and the remaining patients from other centers were used as the external test cohort. Radiomics features were extracted from CT images. A three-step procedure was applied for radiomics feature selection and radiomics signature building, including the inter- and intra-class correlation coefficients (ICCs), a one-way analysis of variance (ANOVA), and least absolute shrinkage and selection operator (LASSO). Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and construct a clinical factor model. Two radiologists reviewed the CT images for the external test set. Performance of the radiomics model, clinical factor model, and each radiologist were assessed by receiver operating characteristic, and area under the curve (AUC) was compared. RESULTS: A total of 144 patients (44 with pneumonia-like PPL and 100 infectious pneumonia) were in the training cohort, 38 patients (12 with pneumonia-like PPL and 26 infectious pneumonia) were in the validation cohort, and 73 patients (23 with pneumonia-like PPL and 50 infectious pneumonia) were in the external test cohort. Twenty-three radiomics features were selected to build the radiomics model, which yielded AUCs of 0.95 (95% confidence interval [CI]: 0.94-0.99), 0.93 (95% CI: 0.85-0.98), and 0.94 (95% CI: 0.87-0.99) in the training, validation, and external test cohort, respectively. The AUCs for the two readers and clinical factor model were 0.74 (95% CI: 0.63-0.83), 0.72 (95% CI: 0.62-0.82), and 0.73 (95% CI: 0.62-0.84) in the external test cohort, respectively. The radiomics model outperformed both the readers' interpretation and clinical factor model ( P <0.05). CONCLUSIONS The CT-based radiomics model may provide an effective and non-invasive tool to differentiate pneumonia-like PPL from infectious pneumonia, which might provide assistance for clinicians in tailoring precise therapy.
Humans ; Retrospective Studies ; Pneumonia/diagnostic imaging* ; Analysis of Variance ; Tomography, X-Ray Computed ; Lymphoma/diagnostic imaging*

Objective:This study investigates the difference in the detection rate and symptomatology between ICD-10 and DSM-5 diagnostic criteria for bipolar disorder with mixed states.Methods:Based on the Phase Ⅰ (2012) and Phase Ⅱ (2021) databases of National Bipolar Mania Pathway Survey (BIPAS), patients with bipolar disorder were included. General demographic data, clinical characteristics, symptomatic phenotypes, and mixed characteristics were retrieved. The detection rates and symptomatic performances of patients with or without mixed states in Phase Ⅰ and Ⅱ were compared using the chi-square test.Results:For patients with mixed states, the detection rate during Phase Ⅱ (2021) using DSM-5 (18.79%, 199/1 059) criteria was significantly higher than that during Phase Ⅰ (2012) using ICD-10 (6.78%, 199/2 934; χ 2=125.05, P<0.001). Whether using ICD-10 or DSM-5 criteria, patients with mixed states had a significantly higher frequency of multiple symptomatic manifestations. Conclusion:The DSM-5 diagnostic criteria generate a high detection rate for bipolar disorder with mixed states. The clinical phenotypes of bipolar disorder with mixed states vary significantly using different diagnostic tools.

Objective:This study investigates the difference in the detection rate and symptomatology between ICD-10 and DSM-5 diagnostic criteria for bipolar disorder with mixed states.Methods:Based on the Phase Ⅰ (2012) and Phase Ⅱ (2021) databases of National Bipolar Mania Pathway Survey (BIPAS), patients with bipolar disorder were included. General demographic data, clinical characteristics, symptomatic phenotypes, and mixed characteristics were retrieved. The detection rates and symptomatic performances of patients with or without mixed states in Phase Ⅰ and Ⅱ were compared using the chi-square test.Results:For patients with mixed states, the detection rate during Phase Ⅱ (2021) using DSM-5 (18.79%, 199/1 059) criteria was significantly higher than that during Phase Ⅰ (2012) using ICD-10 (6.78%, 199/2 934; χ 2=125.05, P<0.001). Whether using ICD-10 or DSM-5 criteria, patients with mixed states had a significantly higher frequency of multiple symptomatic manifestations. Conclusion:The DSM-5 diagnostic criteria generate a high detection rate for bipolar disorder with mixed states. The clinical phenotypes of bipolar disorder with mixed states vary significantly using different diagnostic tools.

There were three new blood group systems including the KANNO blood group system, the Sid blood group system and the CTL2 blood group system (provisional status), have been registered by the International Society of Blood Transfusion (ISBT) registered Science August 2019. The main reason for this update is that the significant SNPs of the KANNO blood group system (rs1800014) and the Sid blood group system (rs7224888) have been found through genome-wide association studies and whole exome sequencing. The new genetic evidences are consistent with the current immunological findings. In addition, although CTL2 antigen has been found on erythrocyte ghost (erythrocyte membrane) since 2017, CTL2 blood group system is still in provisional status due to lack of serological and genetic evidence. In this review, the experimental research advances of these three ISBT blood group systems and discuss the clinical value of the relevant researches was summarized briefly.
Blood Group Antigens ; Blood Transfusion ; Genome-Wide Association Study ; Humans

Objective: To investigate the social support of medical students during the outbreak of COVID-19 and its mediating effect on the correlation between epidemic exposure and depression with anxiety. Methods: A total of 5 593 medical students were enrolled, and Social Support Rating Scale(SSRS), Patient Health Questionnaire-9 and 7-tiem Generalize Anxiety Disorder Scale were used to measure. Results: The social support score of SSRS of male students was lower than that of female students (t=-4.36, P<0.05) and juniors and seniors scored lower than other grades(F=4.84, P<0.05). Epidemic exposure proportion was positively correlated with both depressive proportionand anxiety proportion(r=0.05, 0.06, P<0.01), while epidemic exposure and depressive proportion and anxiety proportion were negatively correlated with social support score(r=-0.05, -0.25, -0.19, P<0.01). After controlling for gender and grade, the mediating effect of social support in the correlation between epidemic exposure and depression accounted for 26.6% of the total effect, and the mediating effect of subjective support and supportive utilization was 32.3% and 25.7% respectively. After controlling for gender and grade, the mediating effect of social support in the correlation between epidemic exposure and depression accounted for 20.0% of the total effect, and the mediating effect of subjective support and supportive utilization was 15.9% and 12.2% respectively. Conclusion Social support has partially mediating effect in the correlation between epidemic exposure with depression and anxiety.