Objective:To investigate the adjunctive diagnostic value of retinal imaging structural parameters combined with apolipoprotein E (ApoE) gene polymorphisms for Alzheimer′s disease (AD).Methods:It was a case-control study, 71 confirmed AD patients who attended the Department of Neurology in Sichuan Provincial People′s Hospital from May 2023 to June 2024 and 156 healthy medical checkups who participated in medical checkups in the Health Management Center were continuously with convenience sampling method; the subjects were included as the AD case group and healthy control group, respectively. Optical coherence tomography (OCT) was used to measure the structural parameters of retinal imaging such as the thickness of the retinal nerve fiber layer (RNFL) and the retinal nerve fiber layer-inner plexiform layer (RNFL-IPL) in the study subjects. Information on demographic characteristics and disease history of the study participants were collected through a questionnaire, and venous blood was collected to test for ApoE gene polymorphisms. The retinal imaging structural parameters, ApoE gene polymorphisms and other related indicators were included in a multifactorial logistic regression model to analyze the main factors affecting the risk of AD. Based on the results of the multifactorial analysis, the receiver operating characteristic (ROC) curves were plotted and the areas under the curve (AUC) were calculated to evaluate the efficacy of different models in the adjunctive diagnosis of AD.Results:Of the 227 study subjects included in the analysis, 153 were females and 74 were males; there were 71 cases in the AD case group with a mean age of (66.73±8.83) years, and there were 156 subjects in the healthy control group with an average age of (61.95±8.21) years. Educational attainment of elementary school and below ( OR=4.683, 95% CI: 2.133-10.282), living visual acuity<0.5 ( OR=2.716, 95% CI: 1.12-6.583), and carrying ≥1 ApoE ε4 genes ( OR=5.331, 95% CI: 2.309-11.891) were positively correlated with the risk of AD. RNFL thickening ( OR=0.923, 95% CI: 0.854-0.998) was negatively associated with the risk of AD (all P<0.05). The AD risk assessment model (Model 4), which included fundus imaging features and ApoE gene polymorphisms, had the highest predictive efficacy (AUC=0.857, P<0.001). Conclusion:Retinal imaging structural parameters differ significantly between AD patients and healthy examinees, and a risk assessment model combining retinal imaging structural parameters and ApoE gene polymorphisms has high predictive value and is expected to serve as an auxiliary diagnostic tool for AD.

As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

Objective:To investigate the adjunctive diagnostic value of retinal imaging structural parameters combined with apolipoprotein E (ApoE) gene polymorphisms for Alzheimer′s disease (AD).Methods:It was a case-control study, 71 confirmed AD patients who attended the Department of Neurology in Sichuan Provincial People′s Hospital from May 2023 to June 2024 and 156 healthy medical checkups who participated in medical checkups in the Health Management Center were continuously with convenience sampling method; the subjects were included as the AD case group and healthy control group, respectively. Optical coherence tomography (OCT) was used to measure the structural parameters of retinal imaging such as the thickness of the retinal nerve fiber layer (RNFL) and the retinal nerve fiber layer-inner plexiform layer (RNFL-IPL) in the study subjects. Information on demographic characteristics and disease history of the study participants were collected through a questionnaire, and venous blood was collected to test for ApoE gene polymorphisms. The retinal imaging structural parameters, ApoE gene polymorphisms and other related indicators were included in a multifactorial logistic regression model to analyze the main factors affecting the risk of AD. Based on the results of the multifactorial analysis, the receiver operating characteristic (ROC) curves were plotted and the areas under the curve (AUC) were calculated to evaluate the efficacy of different models in the adjunctive diagnosis of AD.Results:Of the 227 study subjects included in the analysis, 153 were females and 74 were males; there were 71 cases in the AD case group with a mean age of (66.73±8.83) years, and there were 156 subjects in the healthy control group with an average age of (61.95±8.21) years. Educational attainment of elementary school and below ( OR=4.683, 95% CI: 2.133-10.282), living visual acuity<0.5 ( OR=2.716, 95% CI: 1.12-6.583), and carrying ≥1 ApoE ε4 genes ( OR=5.331, 95% CI: 2.309-11.891) were positively correlated with the risk of AD. RNFL thickening ( OR=0.923, 95% CI: 0.854-0.998) was negatively associated with the risk of AD (all P<0.05). The AD risk assessment model (Model 4), which included fundus imaging features and ApoE gene polymorphisms, had the highest predictive efficacy (AUC=0.857, P<0.001). Conclusion:Retinal imaging structural parameters differ significantly between AD patients and healthy examinees, and a risk assessment model combining retinal imaging structural parameters and ApoE gene polymorphisms has high predictive value and is expected to serve as an auxiliary diagnostic tool for AD.

As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

BACKGROUND:The anterior cruciate ligament has unique nonlinear mechanical properties under a complex physiological loading environment.Elastin is an important contributor to the mechanical properties of the anterior cruciate ligament,but its mechanical response to the anterior cruciate ligament under axial tension is not clear. OBJECTIVE:To quantitatively analyze the effect of elastin on the tensile mechanical response of the anterior cruciate ligament. METHODS:Elastase solution and control buffer were prepared.The porcine anterior cruciate ligament samples were prepared into small-size samples and randomly soaked in 0,0.1,1.0,2.0,5.0,and 10.0 U/mL elastase solution for 6 hours,and other small samples of the same size were soaked in 2 U/mL elastase solution for 0,1,3,6,9,and 12 hours.To determine suitable soaking conditions for elastin-targeted enzymes and verify the digestive effect,histological staining was used to compare the effects of enzyme treatment on tissue structure and composition.The ligament samples were randomly divided into elastase-treated group and PBS group,and immersed in 2 U/mL elastase solution and PBS buffer for 6 hours,respectively.A mechanical tensile test was performed before and after immersion. RESULTS AND CONCLUSION:(1)The biochemical results showed that being treated in 2 U/mL elastase solution for 6 hours could reduce the elastin content by 31.1%,and had no significant effect on other mechanical-related components in the tissue.(2)The histological results showed that elastase was able to penetrate the tissue,and the loose degree of tissue increased after treatment.(3)In the mechanical results before and after treatment,the mechanical properties of the PBS group decreased significantly,only the low-tension elastic modulus increased significantly and the initial length increased significantly in the elastase-treated group.(4)The intergroup comparison results showed that there was no significant difference between the two groups in pre-treatment,but the low-tension elastic modulus,initial slopes,saturated slopes,and initial length of the elastase-treated group after treatment were significantly higher than those in the PBS group.(5)These results suggest that elastin degradation significantly affects the biomechanical properties of the anterior cruciate ligament and further complements our understanding of the structure-function relationship of the anterior cruciate ligament.

Objective:To explore the value of Caprini risk assessment scale and serum D-dimer in early prediction of postoperative lower extremities deep vein thrombosis (DVT) in patients with gastrointestinal malignant tumor.Methods:A total of 240 patients with gastrointestinal malignant tumors treated in Union Hospital of Tongji Medical College of Huazhong University of Science and Technology from Jan to Oct 2020 were analyzed retrospectively.Results:Caprini score was 4 in 8 cases, 5-7 in 217 cases, and 8 in 15 cases. Sixty-seven patients developed lower extremity DVT after operation. No patients with Caprini score of 4 had DVT, 57 cases (26.3%) with a score of 5-7 had DVT; 10 cases whose score were ≥8 points (66.7%) developed DVT. There was a higher incidence of lower extremity DVT in patients ≥8 points than those of 5-7 points after surgery ( P<0.01). The postoperative Caprini score of the DVT group was higher than that of the non-DVT group (6.37±1.01 vs. 5.80±0.94, t=4.108, P<0.001). D-dimer on the first day after operation in DVT group (4.08±2.27 vs. 2.01±1.04, t=7.715, P<0.001) and the level of serum D-dimer (2.93±1.81 vs. 2.30±1.21, t=2.631, P<0.001) on day 3 was higher than that in the non-DVT group. According to the ROC curve, the best cut-off value for serum D-dimer to predict lower extremity DVT on the first postoperative day was 2.84 mg/L, the sensitivity was 70.1%, the specificity was 87.3%, and the area under the curve (AUC) was 0.815. The best cut-off value of D-dimer for predicting lower limb DVT on day 3 after surgery was 1.67 mg/L, sensitivity was 85.1%, specificity was 34.7%, and AUC was 0.611. Conclusions:Patients with gastrointestinal malignant tumors have a high incidence of postoperative lower extremity DVT. When the serum D-dimer exceeds 2.84 mg/L on the first postoperative day, the likelihood of postoperative lower extremity DVT is higher.

Objective:The study was to explore the nipple-areola complex(NAC) blood supply model in Chinese breasts based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and to provide the blood supply knowledge for mammaplasty.Methods:Breast DCE-MRI images of breasts without masses in 245 patients from March 2012 to October 2019 in Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology were included retrospectively. The breast vessels images were obtained by image subtraction in the Siemens workstation. Axial, coronal and sagittal maximum intensity projection(MIP) images were evaluated, and all vessels supplying the nipple-areola complex were identified by 3D MIP images. Blood supply to the NAC was classified into 9 zones, and vessels of each zone were counted and analyzed. The maximum distance from the vessel to the skin surface of the breast was measured. SPSS 19.0 software was used for statistical analysis. The chi-square test was used to check for significant differences in the distribution of zones between the left breasts and the right breasts. The mean, standard deviation and 95% confidence interval of the distance between vessels and skin were calculated. Using ANOVA to compare the distance between vessels and skin of zones. P<0.05 was statistically significant. Results:There were 490 breasts in 245 DCE-MRI images, of which 97 breasts were found to have masses in 97 DCE-MRI images. The remaining 393 were normal breasts as study subjects. The patients’ ages ranged from 23 to 72 years, with a mean of 43.7 years. 637 source vessels (311 left, 326 right) were identified in 393 breasts (200 left, 193 right). Of the 637 vessels, 269 (42.2%) were in the superomedial zone and 180 (28.3%) were in the superolateral zone. The proportions of vessels in zone medial (57, 8.9%), inferior (37, 5.8%), central (30, 4.7%), inferomedial (25, 3.9%), inferolateral (25, 3.9%), superior (11, 1.7%) and lateral (3, 0.5%) were less than 10%, respectively. The chi-square test showed no significant difference in the distribution of zones ( χ2 =6.4, P=0.602) between the left breasts and the right breasts. Except for the central zone, the mean of maximum distance from the vessels to the skin surface was 0.91 cm, with a 95% confidence interval of 0.86 cm to 0.96 cm. Conclusions:DCE-MRI can clearly show the blood supply to the NAC. Superomedial or superolateral source vessels supplying the NAC were predominant, and the vessels run at a subcutaneous depth of about 1 cm.

Objective:The study was to explore the nipple-areola complex(NAC) blood supply model in Chinese breasts based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and to provide the blood supply knowledge for mammaplasty.Methods:Breast DCE-MRI images of breasts without masses in 245 patients from March 2012 to October 2019 in Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology were included retrospectively. The breast vessels images were obtained by image subtraction in the Siemens workstation. Axial, coronal and sagittal maximum intensity projection(MIP) images were evaluated, and all vessels supplying the nipple-areola complex were identified by 3D MIP images. Blood supply to the NAC was classified into 9 zones, and vessels of each zone were counted and analyzed. The maximum distance from the vessel to the skin surface of the breast was measured. SPSS 19.0 software was used for statistical analysis. The chi-square test was used to check for significant differences in the distribution of zones between the left breasts and the right breasts. The mean, standard deviation and 95% confidence interval of the distance between vessels and skin were calculated. Using ANOVA to compare the distance between vessels and skin of zones. P<0.05 was statistically significant. Results:There were 490 breasts in 245 DCE-MRI images, of which 97 breasts were found to have masses in 97 DCE-MRI images. The remaining 393 were normal breasts as study subjects. The patients’ ages ranged from 23 to 72 years, with a mean of 43.7 years. 637 source vessels (311 left, 326 right) were identified in 393 breasts (200 left, 193 right). Of the 637 vessels, 269 (42.2%) were in the superomedial zone and 180 (28.3%) were in the superolateral zone. The proportions of vessels in zone medial (57, 8.9%), inferior (37, 5.8%), central (30, 4.7%), inferomedial (25, 3.9%), inferolateral (25, 3.9%), superior (11, 1.7%) and lateral (3, 0.5%) were less than 10%, respectively. The chi-square test showed no significant difference in the distribution of zones ( χ2 =6.4, P=0.602) between the left breasts and the right breasts. Except for the central zone, the mean of maximum distance from the vessels to the skin surface was 0.91 cm, with a 95% confidence interval of 0.86 cm to 0.96 cm. Conclusions:DCE-MRI can clearly show the blood supply to the NAC. Superomedial or superolateral source vessels supplying the NAC were predominant, and the vessels run at a subcutaneous depth of about 1 cm.

Cognitive impairment is one of the three primary symptoms of schizophrenic patients and shows important value in early detection and warning for high-risk individuals. To study the specifics of electroencephalogram (EEG) in patients with schizophrenia under the cognitive load, we collected EEG signals from 17 schizophrenic patients and 19 healthy controls, extracted signals of each band based on wavelet transform, calculated the characteristics of nonlinear dynamic and functional brain networks, and automatically classified the two groups of people by using a machine learning algorithm. Experimental results indicated that the correlation dimension and sample entropy showed significant differences in α, β, θ, and γ rhythm of the Fp1 and Fp2 electrodes between groups under the cognitive load. These results implied that the functional disruptions in the frontal lobe might be the important factors of cognitive impairments in schizophrenic patients. Further results of the automatic classification analysis indicated that the combination of nonlinear dynamics and functional brain network properties as the input characteristics of the classifier showed the best performance, with the accuracy of 76.77%, sensitivity of 72.09%, and specificity of 80.36%. The results of this study demonstrated that the combination of nonlinear dynamics and function brain network properties may be potential biomarkers for early screening and auxiliary diagnosis of schizophrenia.

Objective:To investigate the mediating and moderating effects of resilience on frailty and depression in the community-dwelling old adults.Methods:Totally 871 community-dwelling old adults chosen from different communities were investigated by the geriatric depression scale, Tilburg frailty indicator and 10-item Connor-Davidson resilience scale.SPSS 22.0 and AMOS 24.0 were used for data analysis, including descriptive analysis, correlation analysis, structural equation modeling and hierarchical regression analysis.Results:(1)The score of frailty (3.72±2.89)was positively correlated with the score of depression (2.63±2.57, r=0.16-0.58, P<0.01). The score of resilience(28.24±6.80) was negatively correlated with the score of frailty and depression ( r=-0.10~-0.49, both P<0.01), and frailty predicted 35% of the total variation of depression in the elderly.(2)The mediating effect of resilience was significant and the indirect effect was 0.10, accounting for 12.66% of the total variance.(3) Resilience moderated the relationship between frailty and depression ( β=-0.12, t=-4.11, R2=0.41, P<0.001). The frailty of old adults with lower resilience played a stronger predictive role in depression (simple slope=0.50, t=14.73, R2=0.01, P<0.001). Conclusion:There is a close relationship between frailty and depression in the community-dwelling older adults, and resilience plays both mediating and moderating role in the relationship.