Objective To explore the association between serum levels of homocysteine (Hcy) and relation factors in the patients with manic episodes of bipolar Ⅰ disorder(BD).Methods The case-control study was used for this study.A total of 73 inpatients with manic episodes of BD(patient group) and 39 healthy individuals (control group) were enrolled.Diagnosis was made according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-Ⅳ) criteria.Serum levels of Hcy was measured by enzymatic cycling assay.Young Mania Rating Scale(YMRS) were used to assess the severity of clinical symptoms of patients.Results There was a statistical difference in serum Hcy levels between patient group ((16.89± 14.67)μmol/L) and control group ((10.61±6.46) μmol/L) (P＜0.01),and serum Hcy levels was higher in men((20.42± 16.52) μmol/L) than that in women((10.87±8.02) μmol/L) in patients group(P＜0.05).The prevalence rate of high Hcy was 35.6％ in the patient group and 13.5％ in the control group(P＜0.05).Correlation analysis showed body mass index(BMI) had positive correlation with serum levels of Hcy (r=0.317,P＜0.05).Stepwise multiple regression analysis showed male,BMI were associated with serum levels of Hcy among the patients (all P＜ 0.05).Conclusion Serum Hcy levels in the patients with manic episodes of bipolar Ⅰ disorder increase,and it is associated with gender and BMI.

ObjectiveTo investigate the correlation between femoral distal medial torsion and patellofemoral joint malalignment and analyze the causes of patellofemoral joint disorders,which provide the new theory with clinical treatment.MethodsFrom May 2007 to June 2009,124 knees(95 cases) with patellofemoral joint disorders were enrolled in this study randomly.Each knee was scanned with CT in dynamic 20° -30° knee flax position.Femoral distal medial torsion angle (FMTA),patellar congruence angle (CA) and patellar tilt angle(PTA) were measured.The correlation between FMTA and CA or PTA was analyzed.Results FMTA ＜ 5° in 25 knees,≥5° in 99 knees,6 knees with trochlear dysplasia who were excluded.FMTA in 93 knees was 16.06° ± 5.68°,CA was 16.40° ± 5.48° and PTA was 19.59° ± 3.32°.The positive correlation was found between FMTA and CA when FMTA ＞ 10°through scatter diagram analysis (r =0.709,P ＜ 0.05 ).The positive correlation was found between FMTA and PTA when FMTA ＞10°( r =0.652,P ＜ 0.05),the positive trend declined when FMTA ＞ 27°.ConclusionsFemoral distal medial torsion is an important risk factor of patellofemoral joint malalignment.When FMTA ＞ 10°,FMTA and CA,PTA has positive correlation,but the positive tend between FMTA and PTA declines when FMTA ＞ 27°.

Objective:To investigate the predictive value of myocardial perfusion-related parameters measured by echocardiography on the prognosis of patients with coronary artery disease at 90 d after percutaneous coronary intervention (PCI).Methods:Eighty-five patients with coronary artery disease who underwent PCI in Linping Branch of the Second Affiliated Hospital of Zhejiang University from October 2020 to October 2022 were selected retrospectively. Patients were divided into the occurrence myocardial perfusion injury group (40 cases) and the non-occurrence myocardial perfusion injury group (45 cases). The quantitative echocardiographic parameters of left ventricular end-diastolic internal diameter (LVEDD) and left ventricular end-systolic internal diameter (LVESD) were compared between the two groups, and the effects of LVEDD and LVESD on the risk of myocardial perfusion injury after PCI in patients with coronary artery disease were analyzed. Logistic regression was used to analyze the factors influencing the major adverse cardiovascular events (MACE) of patients with coronary artery disease at 90 d after PCI. A line graph model was constructed, the receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were constructed to verify the predictive efficiency of the line graph model.Results:Compared with the day of admission, the levels of LVEDD and LVESD were increased at 2 and 6 h after PCI, and showed an increasing trend at each time point ( P<0.05). The levels of LVEDD and LVESD at 2 and 6 h after PCI in the occurrence myocardial perfusion injury group were higher than those in the non-occurrence myocardial perfusion injury group: (45.56 ± 2.35) mm vs. (43.27 ± 2.12 ) mm, (47.87 ± 3.56) mm vs. (45.73 ± 2.98) mm; (33.49 ± 2.32) mm vs. (31.29 ± 2.29) mm, (35.62 ± 3.03) mm vs. (33.74 ± 2.12) mm, there were statistical differences ( P<0.05). The risk of myocardial perfusion injury was 4.469 and 6.081 times higher in patients with high levels of LVEDD and LVESD than in patients with low levels. The results of Logistic regression analysis showed that coronary multiple lesions, time from onset to balloon dilation, coronary Gensini score and LVEDD, LVESD were independent influencing factors of MACE at 90 d after PCI in patients with coronary artery disease ( P<0.05). Based on the above five independent influencing factors, a column line graph model was established to predict the risk of poor prognosis at 90 d after PCI. According to the column line graph model, the coronary multiple lesions were scored as 5; the corresponding prognostic adverse risk increased with the increase of time from onset to balloon dilation, coronary Gensini score and quantitative echocardiographic parameters LVEDD and LVESD; the internal validation of the column line graph prediction model was performed, and the C-index of the model was 0.978; the calibration curve showed that the model had good differentiation and accuracy in predicting the risk of MACE at 90 d after PCI. The results of ROC curve showed, the area under the curve (AUC) was 0.955 (95% CI 0.952 - 1.000). The DCA showed that when the line graph model was in the high risk threshold range (0 - 0.9), the prediction of the model had clinical practical value and the net benefit of patients was high. Conclusions:The abnormal increase of LVEDD and LVESD determined by echocardiography is associated with myocardial perfusion injury in patients with coronary heart disease after PCI, and a line graph model based on LVEDD and LVESD can predict the occurrence of MACE at 90 d after PCI, so as to guide early risk assessment and prevention.

Knee osteoarthritis(KOA)is a chronic degenerative joint disease which could result disabling in late stage.The objectivity in imaging diagnosis of KOA is often various due to human factors and other influences.Artificial intelligence(AI)has been proved highly valuable for KOA.The progresses of AI in imaging diagnosis and grading of KOA,detecting cartilages lesions,predicting pain and long-term care of KOA were reviewed in this article.

【Objective】 To establish a routine screening method for unexpected antibodies of blood donors, analyze the results of centralized screening for unexpected antibody of blood donors in the blood center, and compare the cost of centralized and decentralized screening modes. 【Methods】 A total of 35 591 blood donors were screened for unexpected antibodies from March 31, 2021 to July 31, 2021, using microcolumn gel method. Unexpected antibody screening reactive samples were further confirmed by the Transfusion Research Institute of Shenzhen Blood Center, and the demographic characteristics were further determined through the analysis of unexpected antibody positive population. The direct cost and indirect cost of centralized and decentralized unexpected antibody screening mode were compared. 【Results】 Forty unexpected antibody positive samples were confirmed in Shenzhen, with the positive rate at 0.11%(40/35 591), among which MNS, Rh and Lewis system accounted for 35% (14/40), 32.5% (13/40) and 17.5% (7/40), respectively. Males and females accounted for 45% (18/40) and 55% (22/40), respectively (P<0.01). No significant difference was noticed by age and repeated-donor or not (P>0.05). Unexpected antibody screening in a centralized way saved about 1.16 million yuan per year. 【Conclusion】 It is necessary to carry out unexpected antibody screening for all blood donors, and centralized screening is more economical than decentralized screening.