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 determ ine the contents of main active constituents in Gynura divaricata leaf with different drying methods and at different harvesting time ，so as to confirm the best drying method and harvesting time. METHODS G. divaricata leaf with different drying methods [drying in the shade ，drying in the sun ，oven drying （60℃，70℃，80℃），microwave drying and freeze drying] and different harvesting time （March to October ）were prepared. The content of water-soluble extract was determined by hot dip method. The contents of total flavonoids and polysaccharides were determined by ultraviolet-visible spectrophotometry. The content of astragalin was determined by HPLC. Analytic hierarchy process was used for comprehensive analysis. RESULTS The time of drying in the shade ，drying in the sun ，drying at 60 ℃，drying at 70 ℃，drying at 80 ℃， microwave drying and freeze drying were 7 d，5 d，8 h，5 h，3.5 h，6 min and 1 d respectively. The average contents of water-soluble extract in G. divaricata leaf were 55.98％，60.78％，52.33％，49.54％，46.87％，59.70％ and 58.24％；those of total flavonoids were 3.27％，3.22％，1.99％，1.70％，1.31％，3.92％ and 2.28％；those of polysaccharides were 4.70％，6.09％， 6.48％，5.45％，5.74％，5.76％ and 7.15％；those of astragalin were 0.48％，0.46％，0.24％，0.23％，0.20％，0.48％，0.29％. The comprehensive score of microwave drying was the highest ，being 0.996 3. The average contents of water-soluble extract from March to October were 41.50％，40.57％，39.16％，40.65％，40.68％，43.30％，45.19％ and 40.12％；those of total flavonoids were 2.24％，2.81％，3.87％，3.92％，3.82％，3.93％，3.66％ and 3.25％；those of polysaccharides were 4.41％，4.61％， 4.98％，5.26％，5.75％，5.94％，5.32％ and 4.47％；those of astragalin were 0.20％，0.21％，0.25％，0.26％，0.25％，0.24％， 0.25％ and 0.21％，respectively. The comprehensive scores of samples collected from May to September exceeded 0.92，and the comprehensive score in August was the highest （0.988 6）. CONCLUSIONS Microwave-dried Gynura divaricata leaf has the best quality ，and the best harvesting time is from May to September.