ObjectiveBased on functional near-infrared spectroscopy (fNIRS), we investigated the brain activity characteristics of gross motor tasks in children with autism spectrum disorder (ASD) and motor dysfunctions (MDs) to provide a theoretical basis for further understanding the mechanism of MDs in children with ASD and designing targeted intervention programs from a central perspective. MethodsAccording to the inclusion and exclusion criteria, 48 children with ASD accompanied by MDs were recruited into the ASD group and 40 children with typically developing (TD) into the TD group. The fNIRS device was used to collect the information of blood oxygen changes in the cortical motor-related brain regions during single-handed bag throwing and tiptoe walking, and the differences in brain activation and functional connectivity between the two groups of children were analyzed from the perspective of brain activation and functional connectivity. ResultsCompared to the TD group, in the object manipulative motor task (one-handed bag throwing), the ASD group showed significantly reduced activation in both left sensorimotor cortex (SMC) and right secondary visual cortex (V2) (P<0.05), whereas the right pre-motor and supplementary motor cortex (PMC&SMA) had significantly higher activation (P<0.01) and showed bilateral brain region activity; in terms of brain functional integration, there was a significant decrease in the strength of brain functional connectivity (P<0.05) and was mainly associated with dorsolateral prefrontal cortex (DLPFC) and V2. In the body stability motor task (tiptoe walking), the ASD group had significantly higher activation in motor-related brain regions such as the DLPFC, SMC, and PMC&SMA (P<0.05) and showed bilateral brain region activity; in terms of brain functional integration, the ASD group had lower strength of brain functional connectivity (P<0.05) and was mainly associated with PMC&SMA and V2. ConclusionChildren with ASD exhibit abnormal brain functional activity characteristics specific to different gross motor tasks in object manipulative and body stability, reflecting insufficient or excessive compensatory activation of local brain regions and impaired cross-regions integration, which may be a potential reason for the poorer gross motor performance of children with ASD, and meanwhile provides data support for further unraveling the mechanisms underlying the occurrence of MDs in the context of ASD and designing targeted intervention programs from a central perspective.

Objective: To explore the association between time to first cigarette (TTFC) and expiratory airflow limitation, so as to provide a reference for the prevention and control of pulmonary function decline. Methods: Based on the baseline survey of the China Multi-Ethnic Cohort (CMEC), the demographic, lifestyle behavior, smoking behavior, and TTFC data of permanent residents aged 30 to 79 years in Chengdu City were collected from 2018 to 2019. The TTFC was divided into ≤5, 6-30, 31-60, and >60 minutes. Expiratory airflow limitation was determined when the proportion of the measured peak expiratory flow to the predicted value was less than 80%. The association between TTFC and expiratory airflow limitation was analyzed using a multivariable logistic regression model, and subgroup analyses were conducted according to smoking cessation, age of starting smoking, smoking duration, average daily smoking volume, and the habit of deep inhalation into the lungs. Results: A total of 6 766 residents were investigated, among whom 6 402 were males, accounting for 94.62%. The median age was 52 (interquartile range, 19) years. A total of 2 468 residents were detected with expiratory airflow limitation, with a detection rate of 36.48%. Multivariable logistic regression analysis showed that after adjusting for demographics, lifestyle behavior, smoking cessation, age of starting smoking, smoking duration, average daily smoking volume, and the habit of deep inhalation into the lungs, TTFC ≤5 minutes (OR=1.203, 95%CI: 1.035-1.397) and 6-30 minutes (OR=1.174, 95%CI: 1.002-1.374) were associated with an increased risk of expiratory airflow limitation. Subgroup analyses showed that there was no interaction between smoking behavior and TTFC on the risk of expiratory airflow limitation (all P>0.05). Conclusion A shorter TTFC is associated with an increased risk of expiratory airflow limitation among residents aged 30 to 79 years, and the association is not affected by snoking behaviors such as smoking cessation, age of starting smoking, smoking duration and average daily smoking volume.

Objective To investigate the clinical outcomes of suture anchors and knotless anchors in the repair of anterior talofibular ligament.Methods A total of 187 patients with chronic ankle instability caused by anterior talofibular ligament injury admitted to First Affiliated Hospital of Nanjing Medical University from January 2018 to December 2021 were included and divided into the suture anchor group(97 cases)and the knotless anchor group(90 cases)according to the treatment methods.Patients in the suture anchor group were repaired with suture anchor,and patients in the knotless anchor group were repaired with knotless anchor.The postoperative follow-up was conducted for 24 to 48 months,the American Foot and Ankle Association(AOFAS)scores,visual analogue scale(VAS)scores and Cumberland ankle instability tool(CAIT)scores before and after surgery were compared between the two groups,and the ankle MR was performed 12 months after surgery to evaluate the recovery of patients.The complications of patients after surgery were observed.Results There was no significant difference in the VAS score,AOFAS scores or CAIT scores before surgery and at the end of follow-up between the two groups(P>0.05).At the end of follow-up,the VAS scores of the two groups were significantly lower than those before surgery,and the AOFAS scores and CAITs score were significantly higher than those before surgery,with significant differences(P<0.05).The sutures loosing or knots that irritated the surrounding soft tissues was not found in the patients of the suture anchor group,and the signs of knotless anchor loosening was not found in the patients of the knotless suture group.Postoperative complications such as infection and thrombosis were not found in all patients.The local skin numbness at the back of the foot in the early postoperative period was found in 3 patients of the suture anchor group and 2 patients of the knotless suture group,which disappeared at 6 months of follow-up.One patient in the suture anchor group reported subcutaneous discomfort on the operative side after 12 months of follow-up,which was suspected knot irritation,but no obvious abnormality was found in MR examination.Conclusion The clinical outcomes of suture anchors or knotless anchors in patients with chronic ankle instability are similar in the repair of anterior talofibular ligament,which can significantly improve the postoperative stability of the ankle after surgery.

Objective To analyze the incidence of major adverse cardiovascular events(MACE)in 45 patients who unexpectedly interrupted dual antiplatelet therapy(DAPT)within one month after percutaneous coronary intervention(PCI).Methods A total of 4 876 patients who successfully underwent PCI and implanted one or more stents(excluding acute ST segment elevation myocardial infarction,drug coated balloon or non-drug coated ballooon only,and oral anticoagulants)between January 1,2017 and December 31,2022 were selected as the study subjects.A total of 45 patients with unexpected interruption of DAPT within one month after PCI were analyzed,and their clinical outcomes were followed up.Results Among the 45 patients,there were 29 males and 16 females,aged 48-80(61.7+15.3)years.The reasons for interrupting DAPT include:35 cases of bleeding;3 cases of malignant tumor surgery(including 2 bleeding patients);5 cases of trauma;2 cases of hematological diseases;2 cases of self-interruption of DAPT.6 patients who received low-molecular-weight heparin replacement therapy during the discontinuation period did not experience stent thrombosis or other MACE.Among the 39 patients without antithrombotic replacement therapy,5 developed stent thrombosis and acute myocardial infarction(5/45,11.1％).Except for 1 patient who voluntarily stopped DAPT 2 weeks after PCI,the remaining 4 cases were those who with concurrent bleeding within 2 weeks after PCI.DAPT was stopped for more than 10 days,and stent thrombosis occurred on the 10th,11th,11th,and 13th days after DAPT was stopped.Among the 4 patients,2 patients developed acute left heart failure and 1 patient died.Another case died due to brainstem hemorrhage.Conclusions Premature interruption of DAPT after PCI has a high potential risk.Patients who stop taking medication earlier,for a longer duration,and without replacement therapy have a higher risk.

Objective:To explore the therapeutic efficacy and prognostic factors of induction therapy for secondary central nervous system lymphoma(SCNSL).Methods:Clinical data of patients diagnosed with SCNSL from 2010 to 2021 at Guangdong Provincial People's Hospital were retrospectively collected.A retrospective cohort study was performed on all and grouped patients to analyze the efficacy and survival.Multivariate logistic regression analysis was used to explore the adverse prognostic factors.Results:Thirty-seven diffuse large B-cell lymphoma patients with secondary central involvement were included in the research.Their 2-year overall survival(OS)rate was 46.01％and median survival time was 18.1 months.The 2-year OS rates of HD-MTX group and TMZ group were 34.3％and 61％,median survival time were 8.7 and 38.3 months,and median progression-free survival time were 8.1 and 47 months,respectively.Multivariate logistic regression analysis showed that age,sex,IPI,Ann Arbor stage were correlated with patient survival time.The median survival time of patients with CD79B,KMT2D,CXCR4.ERBB2,TBL1XR1,BTG2,MYC,MYD88,and PIM1 mutations was 8.2 months,which was lower than the overall level.Conclusion:HD-MTX combined with TMZ as the first-line strategy may improve patient prognosis,and early application of gene sequencing is beneficial for evaluating prognosis.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

AIM To investigate the effects and mechanism of Shenxiao Jiedu Tongluo Recipe on renal AIM 2-mediated pyroptosis of a golden hamster model of diabetic nephropathy(DN).METHODS Fifty male golden hamsters of SPF grade were randomly divided into the control group and the model group.The golden hamsters of the model group successfully developed into DN models by feeding of high glucose and high fat diet and intraperitoneal injection of STZ were further randomly assigned into the model group,the enagliflozin group(10 mg/kg),and the low-dose and the high-dose Shenxiao Jiedu Tongluo Recipe groups(12.8,25.6 g/kg)for 8 weeks gavage of the corresponding administration.The golden hamsters had their levels of fasting blood glucose,24 h-UTP,serum TC,LDL-C,Scr,and Sur detected by automatic biochemical analyzer;their serum SOD activity and MDA level detected by biochemical method;their serum levels of IL-1β,IL-18,and TNF-α detected by ELISA method;their pathomorphological changes of kidney tissue observed by HE and PAS staining;their protein expressions of ROS and γH2AX detected by immunofluorescence or immunohistochemistry;and their renal protein expressions of AIM 2,caspase-1 and GSDMD detected by Western blot and immunohistochemistry.RESULTS Compared with the control group,the model group showed atrophic glomeruli;enlarged glomerular capsule cavity;mesangial expansion;edema and necrosis in the dilated renal tubules;increased levels of fasting blood glucose,24 h-UTP,serum TC,LDL-C,Scr,Sur,IL-1β,IL-18,TNF-α,MDA and renal protein expressions of ROS,γH2AX,AIM2,caspase-1,GSDMD(P＜0.01);and decreased serum SOD activity(P＜0.01).Compared with the model group,the high-dose Shenxiao Jiedu Tongluo Recipe group and the enagliflozin group displayed improved renal histopathology,decreased levels of 24 h-UTP,serum TC,LDL-C,Scr,Sur,IL-1β,IL-18,TNF-α,MDA and renal protein expressions of ROS,γH2AX,AIM2,caspase-1,GSDMD(P＜0.05,P＜0.01);and increased serum SOD activity(P＜0.01).CONCLUSION Shenxiao Jiedu Tongluo Recipe can inhibit AIM 2-mediated cell death and alleviate renal inflammatory damage in golden hamsters by inhibiting their expression of ROS-dsDNA-AIM 2 signal pathway to attain reduction of their renal ROS level,DNA damage of renal intrinsic cells,and synthesis of AIM 2 inflammatory corpuscles as well.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective To investigate the value of the human chorionic gonadotropin(hCG)stimulation test in the diagnosis of disorder of sexual development(DSD)in children.Methods A retrospective analysis was conducted on 132 children with DSD.According to the karyotype,they were divided into three groups:46,XX group(n=10),46,XY group(n=87),and sex chromosome abnormality group(n=35).The above groups were compared in terms of sex hormone levels before and after hCG stimulation test,and the morphological manifestation of the impact of testicular tissue on the results of the hCG stimulation test was analyzed.Results There was no significant difference in the multiple increase of testosterone after stimulation among the three groups(P>0.05).In the 46,XY group,the children with 5α-reductase type 2 deficiency had a testosterone-to-dihydrotestosterone ratio higher than that of the 46,XY DSD children with other causes.Morphological analysis showed that DSD children with testicular tissue demonstrated a significantly higher multiple increase in testosterone after stimulation compared to children without testicular tissue(P<0.05).Conclusions The hCG stimulation test has an important value in assessing the presence and function of testicular interstitial cells in children with different types of DSD,and it is recommended to perform the hCG stimulation test for DSD children with unclear gonadal type.[Chinese Journal of Contemporary Pediatrics,2024,26(2):158-163]