Objective To investigate biological markers associated with psychotic symptoms in patients with bipolar disorder(BD)based on electronic medical records of patients,and to develop an interpretable risk prediction model that supports the identification of high-risk individuals and that facilitates decision-making for providing clinical intervention in a timely manner.Methods A total of 2 352 patients diagnosed with BD and admitted to West China Hospital,Sichuan University were enrolled using the electronic medical records system of the hospital.The participants were divided into two subgroups,the bipolar disorder depression(BDD)group and the bipolar disorder mania(BDM)group.The logistic regression algorithm was used to train and validate the prediction model,and interpretability methods were used to analyze the contribution of each feature to individuals and the effect of the features on specific target prediction decisions.Results The logistic regression model demonstrated robust predictive performance across the BD,BDD,and BDM cohorts,with areas under the curve(AUC)of the receiver operating characteristic curves always exceeding 81.6%.The core predictive features included platelet distribution width(PDW),fibrinogen(FIB),platelet large cell ratio(P-LCR),activated partial thromboplastin time(APTT),prothrombin time(PT),and triglyceride(TG).The logistic regression model exhibited strong interpretability and was combined with nomograms for intuitive risk quantification and individualized prediction.Conclusion The logistic regression model enables rapid and simple screening of BD patients with psychotic symptoms.Distinct patterns of changes observed in blood biomarkers of BDD and BDM subgroups enrich the understanding of the underlying pathophysiological mechanisms and highlight the importance of considering subtypes in the intervention and management of patients.

Objective:To explore the changing characteristics of interpretive bias of senior high school students with different levels of autistic traits in ambiguous situations, and to investigate the consistency of interpretive bias across self/other relevant conditions.Methods:A survey of 1 080 senior high school students from a high school in Anhui province was conducted by using the autistic-spectrum quotient (AQ). According to the criteria of high scores and low scores of 27%, the subjects in the high autistic trait group ( n=266) and the low autistic trait group ( n=266) were selected.The ambiguous situation paradigm was used to measure the frequency of positive interpretation of ambiguous information by two groups of subjects under the conditions of self and others, SPSS 26.0 was used for descriptive statistics, and jamovi 2.2.3 was used for generalized linear mixed model analysis. Results:(1) The results of the between-group effects at the level of autistic traits indicated that the frequency of positive interpretations in the high autistic group was significantly lower than that in the low autistic group(54.5(11.8), 57(11.8) )( χ2=13.99, P<0.001). The results of the interaction between level of autistic traits and type of ambiguous situation indicated that in the positive ambiguous situation, the frequency of positive interpretations in the high autistic group was smaller than that in the low autistic group (33(4), 34(3)) ( P<0.001). There was no significant differences in the number of positive interpretations between high autistic group and low autistic group in negtive ambiguous situation( P>0.05). (2) The results of the main effects of the ambiguous situation types indicated that the frequency of positive interpretations in positive ambiguous situations was significantly higher than that in negative ambiguous situations(33(4), 23(9.25)) ( χ2=1 348.50, P<0.001). The results of the interaction between level of autistic traits and type of ambiguous situation indicated that the frequency of positive interpretations in positive ambiguous situations (33(4), 34(3)) in both high and low autistic groups was larger than that in negative ambiguous situations (22(10), 24(9)) ( P<0.001). (3) The main effects results for the self/other related conditions suggested that the frequency of positive interpretations of familiarity with others (19(4)) was significantly higher than that of self-related conditions (19(5)) and strangers (19(5)) ( χ2=9.51, P<0.01), and there was no significant difference between self-related conditions and strangers( P>0.05). The results of the interaction between ambiguous situation type and self/other related conditions suggested that in the positive ambiguous situation, the frequency of positive interpretations of familiarity with other people's conditions was greater than that of self-related conditions( P<0.01), and in the negative ambiguous situations, there was no significant difference in the frequency of positive interpretations related to different self/others( P>0.05). Conclusions:(1) High school students with high and low autistic traits are more inclined to show positive interpretations in the ambiguous situations, and it higher under the condition of positive ambiguous situations and acquaintances.(2) Compared with those with low autistic traits, individuals with high autistic traits tend to give less positive interpretations to ambiguous situations, but this difference is mainly manifested in positive ambiguous situations.(3) In the negative ambiguous situation, there is no significant difference in number of positive interpretations produced by senior high school students with high and low autistic traits, and they are stable across self and other related conditions.

Objective:To explore the influence of sub-threshold autistic traits on social avoidance and distress of senior high school freshmen, as well as the mediating effect of perspective taking, and to investigate the intervention effect of perspective taking intervention project on improving the ability of perspective taking and reducing social avoidance and distress behavior of high sub-threshold autistic traits individuals.Methods:A total of 1 401 subjects were investigated with the autism-spectrum quotient (AQ), interpersonal reactivity index-C (IRI-C) and social avoidance and distress (SAD) from September 1st to September 30th, 2018. According to the screening criteria of 27% statistically, totally 378 subjects were selected according to the scores of autistic spectrum quotient scale from high to low as the high sub-threshold autistic traits group. The top 32 subjects with high scores of autistic spectrum quotient scale were selected and randomly divided into intervention group and control group with 16 subjects in each group. The modified viewpoint selection group counseling program was used to conduct intervention research on 16 subjects with high sub-threshold autistic traits. SPSS 26.0 was used for common method deviation test, descriptive analysis, correlation analysis and repeated measurement variance analysis, and SPSS 26.0 PROCESS plug-in was used for intermediary effect analysis.Results:(1) The scores of sub-threshold autistic traits, perspective taking, social avoidance and distress of freshmen in senior high school were (113.26±11.35), (12.34±3.95) and (10.84±6.42) respectively. (2) Sub-threshold autistic traits, perspective taking, social avoidance and distress were significantly correlated with each other( r=-0.11-0.52, all P<0.01). (3) Sub-threshold autistic traits had a significant direct effect on social avoidance and distress, with a direct effect value of 0.28, accounting for 96.55% of the total effect.The total indirect effect of perspective taking on social avoidance and distress was significant, with the total indirect effect value of 0.01, accounting for 3.45% of the total effect. (4) In the intervention group, the perspective taking score of the post-test (15.69±3.86) was significantly higher than that of the pre-test (10.56±4.18) ( P<0.01). In the control group, there was no significant difference in the scores of perspective taking before and after the test((10.63±3.69), (11.44±3.03)) ( P>0.05). (5) In the intervention group, the scores of social avoidance and distress in the post-test (6.38±5.01) were significantly lower than that in the pre-test (15.00±6.07) ( P<0.001). In the control group, the score of social avoidance and distress in the post-test (15.81±6.33) was lower than that in the pre-test (19.00 ±5.38) ( P<0.05), but the scores of social avoidance and distress in the intervention group decreased even more. Conclusion:Perspective taking plays an mediating role between sub-threshold autistic traits and social avoidance and distress. Group counseling based on perspective taking was helpful to improve the perspective taking ability of people with high sub-threshold autistic traits and reduce social avoidance and distress behaviors.

Objective:To explore the application value of single source dual energy CT (DECT) scanning technique in improving the image quality of the pancreas.Methods:Imaging data of 21 patients with normal pancreas and 36 patients with pancreas related diseases in the First Affiliated Hospital of Naval Medical University from July 2021 to August 2021 were collected. All the patients first underwent multi-slice CT (MDCT) scan with no-contrast, and then dynamic enhanced MDCT scan. And the DECT scan was used in the delay period. Virtual single energy images (VMI, 40~100keV) of normal pancreas and mixed energy images of pancreatic lesions (PI, 80 and 140kVp) were obtained. The regions of interest (ROI) of fat on abdominal wall, normal pancreas and abdominal aorta were delineated, the CT values and standard deviation (SD) of each ROI were measured and recorded, and the pancreatic signal-to-noise ratio (SNR) and contrast-to-noise ratio (SNR) of each energy image were calculated. The objective index and subjective score of VMI(40-100keV) and PI (80kVp and 140kVp) with iodine (water) base map and VMI best CNR were compared between groups. The correlation between VMI(40-100keV) and PI(80, 140kVp) with iodine (water) base map and VMIbest CNR was analyzed by univariate regression.Results:In VMI(40-100keV) of normal pancreas, the highest SNR value was VMI best CNR and iodine (water) base map, and the highest CNR values were VMI 60keV and iodine (water) base map. There were significant differences on SNR and CNR values between different energy VMI and iodine (water) base map ( P<0.05). Among the four images of PI 80kVp, PI 140kVp, VMI best CNR and iodine (water) base map for pancreatic lesions, the SNR and CNR values of iodine (water) base map were the highest. The SNR and CNR values of VMI best CNR were higher than those of PI 80kVp, and the differences were statistically significant ( P<0.05). The lesion significance and edge sharpness score of iodine (water) base map was the highest, which was better than other groups; the lesion significance and edge sharpness score of VMI best CNR was better than PI 140kVp, and the differences were statistically significant ( P<0.05). The results of univariate regression analysis showed that the SNR values of PI 80kVp, PI 140kVp and VMI best CNR for pancreatic lesions were positively correlated with those of the iodine (water) base map ( P<0.05), the CNR values of PI 140kVp and VMI best CNR images were positively correlated with the iodine (water) base map ( P<0.05), and the SNR and CNR values of PI 140kVp were positively correlated with VMI best CNR ( P<0.05). Conclusions:VMI with different energy and iodine (water) base maps can be obtained by single source DECT enhanced scanning of pancreas related diseases. The VMI best CNR was the best among all VMIs, while the SNR and CNR values of iodine (water) base maps were the highest in all images. The VMI best CNR and iodine (water) base maps can improve the image quality of pancreas related diseases.