Objective To investigate the clinicopathological characteristics, diagnostic key points, and treatment strategies of penile metastatic extramedullary plasmacytoma(EMP). Case Report A 47-year-old male patient presented with a painless indurated nodule on the dorsal side of the penis and had a previous history of plasmacytoma in the nasal cavity and tibia. He subsequently underwent complete excision of the penile lesion. Postoperative histopathological examination confirmed the diagnosis of anaplastic plasmacytoma. Immunohistochemical analysis showed positive staining of CD138, CD38, MUM1, and CD79a, with Ki-67(+60%). Light chain restriction was also identified. No local recurrence or distant metastasis was observed during the 5-month follow-up. Conclusion Metastatic EMP of the penis is an extremely rare condition, and the diagnosis relies on pathological examinations combined with immunohistochemical analysis. Surgical resection can be an effective treatment modality for localized lesions;however, long-term follow-up is essential to monitor disease progression.

In this work, starting from 4-hydroxycoumarin, three series of 22 coumarin derivatives, among which 8 have not been reported in the literature, were synthesized and their in vitro anti-inflammatory activities and mechanisms of action were preliminarily investigated using mouse macrophage model. The results showed that most of the derivatives could significantly inhibit the production of pro-inflammatory factor NO, with compounds 2e, 2f, 2g, 2h, 2i, 2j, 4e, and 4f showing better anti-inflammatory activity than the positive control drug dexamethasone. Further experiments showed that compounds 2h and 4f significantly inhibited the production of pro-inflammatory factors IL-6, TNF-α and IL-1β in RAW264.7 macrophages, and could, therefore, be used as lead compounds for further studies.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To explore the changes and influencing factors in patients' gastrointestinal symptoms and food tolerance before and after laparoscopic sleeve gastrectomy(LSG),and to provide a reference for the development of targeted gastrointestinal symptoms management program.Methods A convenience sampling method was used to select 125 patients who underwent LSG in the bariatric and metabolic surgery department of a tertiary-level hospital in Xuzhou City from June to November 2023 for a prospective observational study.The general information questionnaire,food tolerance questionnaire and Gastrointestinal Symptom Rating Scale(GSRS)were used to investigate at preoperative,3 months after surgery,and 6 months after surgery.Two-factor repeated measures variance analysis and generalized linear mixed model(GLMM)was used to analyze the influencing factors of gastrointestinal symptoms.Results 116 valid questionnaires were collected,and the GSRS scores of LSG patients at 3 time points were 21.67±5.80,23.28±4.33,and 21.22±3.18 respectively;the incidence rates of food intolerance were 0,32.75％,and 28.45％respectively.The patients' symptoms of bowel sounds,dysphagia,constipation,and dry stool were worse after surgery than before surgery(all P＜0.05),and the symptoms of bad breath,diarrhea,loose stools,and the need to defecate immediately were alleviated compared with symptoms before surgery(all P＜0.05).GLMM results showed that short meal times,poor food tolerance,and high school/technical secondary school education were risk factors for increasing gastrointestinal symptoms(all P＜0.05).Conclusion LSG could increase the prevalence of gastrointestinal symptoms such as dysphagia,dyspepsia,constipation and food intolerance.Medical staff should pay attention to the assessment of gastrointestinal symptoms in LSG patients,especially for patients with short meal time and poor food tolerance,strengthen postoperative follow-up,build targeted treatment and care plan,and prevent and reduce such uncomfortable symptoms.

Objective To observe the value of MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome(CTS).Methods A total of 126 patients with moderate CTS who underwent endoscopic release and fat-suppressed proton density weighted imaging(PDWI)before operation were retrospectively enrolled.The patients were divided into good prognosis group(n=80)and poor prognosis group(n=46)based on postoperative functional evaluation,also randomly divided into training set and validation set at a ratio of 7∶3.Volume of interest(VOI)of the median nerve was obtained through delineating ROI of the affected wrist on fat suppressed PDWI.Radiomics features were extracted,and those associated with postoperative prognosis of CTS were screened in training set.Clinical prediction model,radiomics model and combined model of these two were established,and the predictive efficacy of the models were evaluated and compared according to the area under the curve(AUC)of receiver operating characteristic(ROC)curve.Results Patients in poor prognosis group were older than in good prognosis group(P＜0.05).A clinical model was constructed based on age.The radiomics model was constructed based on 6 radiomics features associated with postoperative prognosis of CTS,with predictive efficacy(AUC=0.872)higher than that of clinical model(AUC=0.604,P＜0.05)but not significantly different with that of the combined model(AUC=0.905,P＞0.05).Conclusion MRI radiomics model could be used to effectively predict postoperative prognosis of moderate CTS.

Objective:To construct a risk prediction model for non-suicidal self-injury (NSSI) in adolescents with mood disorders, providing a basis for identifying and intervening in high-risk patients.Methods:A convenience sampling method was used to retrospectively analyze 724 adolescent patients with mood disorders admitted to the open ward of Qingdao Mental Health Center from January 2019 to July 2023. Patients admitted from January 2019 to December 2022 (641 cases) were randomly divided into a modeling group and an internal validation group in a 7∶3 ratio, while patients admitted from January to July 2023 (83 cases) were used as an external validation group. A binary multivariate logistic regression analysis was used to construct a nomogram prediction model for NSSI risk in adolescents with mood disorders. The predictive performance of the model was evaluated using the area under the curve (AUC), sensitivity, and specificity.Results:There were 179 males and 545 females, aged 15 (14, 17) years old. Among the 724 patients, 449 were in the modeling group, 192 in the internal validation group, and 83 in the external validation group. The incidence of NSSI in the modeling group was 32.96% (148/449). Reduced food intake ( OR=10.980, 95% CI 4.462-27.017), passive contact ( OR=4.681, 95% CI 1.986-11.031), Hamilton Depression Rating Scale-17 score >17 ( OR=12.235, 95% CI 4.657-32.141), Hamilton Anxiety Rating Scale score>15 ( OR=27.888, 95% CI 8.700-124.630), Insomnia Severity Index score >15 ( OR=6.357, 95% CI 2.257-17.899), and higher levels of past self-injury ( OR=1.663, 95% CI 1.428-1.935) were independent risk factors for NSSI in adolescents with mood disorders (all P<0.05). The AUC of the nomogram model based on these six factors was 0.973, with a sensitivity of 0.94 and a specificity of 0.89. Conclusions:The risk prediction model for NSSI in adolescents with mood disorders has good discrimination, accuracy, and practicality, and can help identify high-risk NSSI populations among adolescents with mood disorders.

Objective This study aimed to investigate the relationship between multiple inflammatory markers and poor outcome in patients with intracerebral hemorrhage,and to compare their predictive abilities.Methods We retrospectively analyzed the patients with intracerebral hemorrhage admitted to the Department of Neurology of the First Affiliated Hospital of Nanchang University from January 1,2015 to March 31,2023.According to the Modified Rankin Scale at 90 days after onset,the patients were divided into good outcome(mRS≤2 points)and poor outcome(mRS score≥3 points).Clinical information,laboratory examinations and follow-up data were compared between the two groups.Inflammatory markers include neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ratio(PLR),monocyte to high-density lipoprotein ratio(MHR),systemic inflammatory response index(SIRI),systemic immune-inflammation index(SII),white blood cell count to mean platelet volume ratio(WMR),lymphocyte to monocyte ratio(LMR),and systemic coagulation-inflammation index(SCI).Univariate and multivariate logistic regression analysis were used to analyze the predictors of poor prognosis after intracerebral hemorrhage,and receiver operating characteristic curve(ROC)was constructed to compare their predictive ability.Results A total of 510 patients with intracerebral hemorrhage were included.Of those,297(58.2%)had good outcome,and 213(41.8%)had poor outcome.Comparison of baseline characteristics demonstrated that patients with poor prognosis had higher levels of white blood cells,neutrophils,high-density lipoprotein,fibrinogen,NLR,PLR,SIRI,SII,WMR at admission,larger baseline hematoma volume and baseline perihematomal edema volume,a higher proportion of lobar hemorrhage,older age,and lower levels of platelets,lymphocytes,LMR,and SCI(P<0.05).Multivariate regression analysis showed that NLR(OR:1.081,95%CI:1.032～1.1131,P=0.001),SIRI(OR:1.089,95%CI:1.014～1.169,P=0.019),SII(OR:1.000,95%CI:1.000～1.001,P=0.011),WMR(OR:2.627,95%CI:1.267～5.445,P=0.009)were independently associated with poor prognosis in patients with ICH.In ROC analysis,the area under the curve of NLR(0.729,95%CI:0.685～0.774)was higher than SIRI(0.692,95%CI:0.645～0.738),SII(0.688,95%CI:0.641～0.735)and WMR(0.65,95%CI:0.602～0.698)for predicting poor outcomes.Conclusion NLR,SIRI,SII and WMR at admission are independently associated with poor outcomes in patients with intracerebral hemorrhage,and NLR has the strongest predictive ability.

Objective To explore the diagnostic value of MRI radiomics analysis in mild carpal tunnel syndrome(CTS).Methods Seventy patients with mild CTS and 86 healthy volunteers who underwent wrist MRI examination were retrospectively selected.MRI fat-suppressed proton density weighted imaging(PDWI)were imported into 3D Slicer software,and the region of interest(ROI)delineation was performed by two radiologists independently.The 830 radiomics parameters were extracted,including first-order fea-tures,shape features,texture features,and wavelet-transform features.Radiomics parameter selection was performed through observer intraclass correlation coefficient(ICC),correlation analysis,and multivariate logistic regression.Five diagnostic models were estab-lished,including logistic regression,support vector machine,naive Bayes,decision tree,and random forest.Receiver operating charac-teristic(ROC)curve was used to analyze the diagnostic efficiency of the models.Results Seven radiomics features were selected for inclusion in the diagnostic models.The logistic regression model demonstrated the best performance,with an area under the curve(AUC)of 0.91[95%confidence interval(CI)0.86-0.96],a sensitivity of 88.63%,and a specificity of 89.00%in the training group.In the test group,the AUC was 0.92(95%CI 0.85-0.97),with a sensitivity of 90.48%and a specificity of 84.62%.Conclusion MRI radiomics analysis can be used to diagnose mild CTS,and the logistic regression model demonstrates superior diagnostic per-formance.

Objective:To investigate the distribution and clinical significance of amniotic fluid karyotype results in 2 725 cases from southern Anhui.Methods:The karyotypes of amniotic fluid from 2 725 cases of second-trimester pregnant women treated in our hospital from Jan 2017 to Dec 2023 were collected.The annual abnormal detection rate and overall abnormal rate were analyzed.Meanwhile,the abnormal detection rate was compared among 8 groups of different clinical indication including adverse pregnancy history,advanced maternal age(≥35 years),high risk of Down syndrome screening,high risk of non-invasive prenatal testing(NIPT),nuchal translucency thickness(NT)≥2.5 mm,abnormal ultrasound findings,two or more concurrent positive indications,and others.The abnormal detection rate was calculated within high risk of Down syndrome screening and NIPT.Results:Significant differences in annual abnormal rates were observed from 2017 to 2023(χ2=19.705,P=0.003).Among 2 725 cases,233(8.55%)showed abnormal karyotypes.Among them,abnormal autosomal number was the most prevalent(4.41%,120/2 725),with inversion being the most common chromosome structural abnormality.Significant differences in abnormal rates were noted among the eight clinical indication groups(χ2=438.516,P＜0.01).No statistical difference was found in abnormal detection rates among the three high-risk subgroups of Down syndrome screening(χ2=0.323,P=0.851),while significant differences were observed within the high-risk subgroups of NIPT(χ2=100.901,P＜0.01).Polymorphisms were detected in 65 cases(2.38%).Conclusions:Chromosomal numerical and structural abnormalities have been detected in southern Anhui over the past seven years,with variations across subgroups.Karyotype analysis effectively detects second-trimester fetal chromosomal abnormalities,aiding in the prevention of birth defects and worthing clinical application.