ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang （MLC） improves obesity-type polycystic ovary syndrome （PCOS） through the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsThirty-six female Sprague-Dawley （SD） rats were randomly divided into a blank control group （Con） and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole （1 mg·kg^-1） combined with a high-fat diet （HFD）. After model establishment， the obesity-type PCOS model preparation group was further divided into the model group （Mod， normal saline）， metformin group （Met， 0.3 g·kg^-1）， low-dose MLC group （MLC-L， 4.3 g·kg^-1）， medium-dose MLC group （MLC-M， 8.6 g·kg^-1）， and high-dose MLC group （MLC-H， 17.2 g·kg^-1）. Active components of MLC and targets of obesity-type PCOS were screened from databases， a protein-protein interaction （PPI） network was constructed， and gene ontology（GO）and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin （HE） staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， anti-Müllerian hormone （AMH）， testosterone （T）， and estradiol （E₂）. Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K （p-PI3K/PI3K）， phosphorylated Akt/Akt （p-Akt/Akt）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing， the abundances of Lachnospiraceae， Lachnoclostridium， and Dorea were increased in the MLC groups （P<0.05）， while the abundance of Veillonella was decreased （P<0.05）. KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that， compared with the Mod group， body weight decreased to normal levels in the Met， MLC-M， and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T， FSH， and LH/FSH were reduced （P<0.05， P<0.01）， while the E₂ level was increased （P<0.01）. Ovarian cell apoptosis was reduced （P<0.01）， and the protein expression levels of p-PI3K/PI3K， p-Akt/Akt， and Bcl-2 in ovarian tissue were significantly increased， whereas Bax protein expression was significantly decreased （P<0.05， P<0.01）. ConclusionMLC can regulate gut microbiota structure， effectively improve ovarian pathology in rats with obesity-type PCOS， and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.

ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang （MLC） improves obesity-type polycystic ovary syndrome （PCOS） through the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsThirty-six female Sprague-Dawley （SD） rats were randomly divided into a blank control group （Con） and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole （1 mg·kg^-1） combined with a high-fat diet （HFD）. After model establishment， the obesity-type PCOS model preparation group was further divided into the model group （Mod， normal saline）， metformin group （Met， 0.3 g·kg^-1）， low-dose MLC group （MLC-L， 4.3 g·kg^-1）， medium-dose MLC group （MLC-M， 8.6 g·kg^-1）， and high-dose MLC group （MLC-H， 17.2 g·kg^-1）. Active components of MLC and targets of obesity-type PCOS were screened from databases， a protein-protein interaction （PPI） network was constructed， and gene ontology（GO）and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin （HE） staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， anti-Müllerian hormone （AMH）， testosterone （T）， and estradiol （E₂）. Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K （p-PI3K/PI3K）， phosphorylated Akt/Akt （p-Akt/Akt）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing， the abundances of Lachnospiraceae， Lachnoclostridium， and Dorea were increased in the MLC groups （P<0.05）， while the abundance of Veillonella was decreased （P<0.05）. KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that， compared with the Mod group， body weight decreased to normal levels in the Met， MLC-M， and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T， FSH， and LH/FSH were reduced （P<0.05， P<0.01）， while the E₂ level was increased （P<0.01）. Ovarian cell apoptosis was reduced （P<0.01）， and the protein expression levels of p-PI3K/PI3K， p-Akt/Akt， and Bcl-2 in ovarian tissue were significantly increased， whereas Bax protein expression was significantly decreased （P<0.05， P<0.01）. ConclusionMLC can regulate gut microbiota structure， effectively improve ovarian pathology in rats with obesity-type PCOS， and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.

OBJECTIVE: To explore the application value of artificial intelligence (AI)-assisted chromosomal karyotype analysis in the diagnosis of prenatal chromosomal mosaicism. METHODS: A retrospective analysis was conducted on 172 pregnant women who underwent amniocentesis at the Department of Medical Genetics and Prenatal Diagnosis, the Third Affiliated Hospital of Zhengzhou University between January 2019 and December 2024. All cases whose fetuses were diagnosed with chromosomal mosaicism via karyotype analysis and stratified into two groups based on the analytical software employed: the conventional analysis group (n = 70), which utilized Leica analysis software for karyotype image recognition and cell counting; and the AI-assisted analysis group (n = 102), which utilized AI-assisted software for the same procedures. The clinical performance of AI-assisted karyotype analysis in diagnosing chromosomal mosaicism was comprehensively evaluated by comparing the types of mosaic karyotypes, distribution of mosaic ratios, and verification outcomes of different detection modalities between the two groups. This study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No.: 2024-406-01). RESULTS: No statistically significant difference was observed in baseline characteristics (maternal age, gestational week, and indications for prenatal diagnosis) between the two groups. Regarding the detection efficacy for numerical and structural mosaicisms, no significant difference was found in the detection of numerical mosaicism. However, the conventional analysis group exhibited a significantly higher detection rate of autosomal structural mosaicism compared to the AI-assisted group (11.43% vs. 0.98%, P < 0.05). Numerical mosaicism cases were further verified using copy number variation sequencing (CNV-seq) and/or fluorescence in situ hybridization (FISH). The AI-assisted group demonstrated a significantly lower inconsistency rate (5.56% vs. 20.41%, P < 0.05) compared to the conventional group. For low-proportion (< 10%) chromosomal mosaicism, the AI-assisted group had a significantly lower detection rate (13.25% vs. 29.69%, P < 0.05). Subsequent validation of low-proportion mosaicism by CNV-seq and/or FISH showed a higher consistency rate in the AI-assisted group (81.82% vs. 54.55%), though the difference did not reach statistical significance (P = 0.360). CONCLUSION For the karyotyping analysis of prenatal chromosomal mosaicism, AI-assisted karyotype analysis shows high accuracy and consistency in identifying numerical chromosomal mosaicism, particularly in reducing the detection of low-proportion (< 10%) mosaicism while improving verification accuracy. AI-assisted analysis can significantly improve the detection accuracy of numerical mosaicism and mitigate the risk of misclassification for low-proportion (< 10%) mosaicism, thereby providing more precise clinical evidence for the prenatal diagnosis of chromosomal mosaicisms.
Humans ; Female ; Mosaicism ; Pregnancy ; Karyotyping/methods* ; Artificial Intelligence ; Prenatal Diagnosis/methods* ; Adult ; Retrospective Studies ; Chromosome Disorders/genetics* ; Amniocentesis

Objective To investigate the role of matrix GLA protein(MGP)in the pathogenesis of idiopathic calcium oxalate kidney stones(ICOS),and to find potential biomarkers for early diagnosis and disease evaluation.Methods A total of 120 patients admitted to our hospital from September 2021 to September 2023 were prospectively included,of which 60 patients with ICOS were in the calculus group and 60 patients without calculus were in the control group.Serum biochemical indexes and immunohistochemical scores of the two groups were detected,urinary MGP levels were determined by ELISA,and MGP mRNA and protein expression in renal papilla tissues were detected by qPCR and Western blot.The independent risk factors of ICOS were screened by Logistic regression analysis,and the prediction model was drawn by nomogram.Results Compared with control group,urinary MGP content in calculus group was decreased[(1 805.91±244.44)pg/ml vs.(2 014.79±252.14)pg/mnl,P＜0.05).Expression of MGP mRNA and MGP protein in renal papillae decreased(0.89±0.15 vs.1.00±0.00,P=0.001)and decreased(0.87±0.18 vs.1.00±0.00,P＜0.05).MGP immunohistochemical scores of renal tissue were decreased[4(2-6)scores vs.6(4-8)scores,P＜0.001].Multivariate analysis showed that urinary calcium(OR=1.370),urinary MGP(OR=1.127),renal papilla MGP relative expression level(OR=27.532)and renal tissue MGP immunohistochemical score(OR=1.359)were independent risk factors for ICOS.Area under ROC curve of the nomogram prediction model built based on the above factors is 0.839,indicating that the model has good differentiation ability in risk prediction.Conclusion MGP is closely related to the pathogenesis of ICOS.Urinary and renal tissue MGP levels may be potential biomarkers for early diagnosis and disease assessment of ICOS.

BACKGROUND:Adipose tissue-derived mesenchymal stem cells release a large amount of exosomes to participate in various pathophysiological processes,but the impact and precise mechanism of exosomes derived from adipose tissue-derived mesenchymal stem cells on autophagy of hepatic stellate cells have not been fully elucidated.OBJECTIVE:To explore the targeted regulatory effect and molecular mechanism of adipose tissue-derived mesenchymal stem cell-derived exosomes on autophagy of hepatic stellate cells through miR-15a-5p.METHODS:Adipose tissue was collected from inguinal region of 8-week male C57BL/6 mice.Adipose tissue-derived mesenchymal stem cells were extracted by collagenase digestion.Adipose tissue-derived mesenchymal stem cell-derived exosomes were extracted by ultracentrifugation.Mouse liver tissue was obtained,and hepatic stellate cells were isolated and extracted using collagenase perfusion digestion and density gradient centrifugation.The experiment was divided into two groups.In control group,hepatic stellate cells were cultured alone for 48 hours.In the exosome group,hepatic stellate cells were co-cultured with adipose tissue-derived mesenchymal stem cell-derived exosomes for 48 hours.The effects of exosomes on hepatic stellate cell proliferation,activation,autophagy,and expression of fibrosis markers were detected by western blot assay,RT-qPCR,and immunofluorescence staining.RT-qPCR and western blot assay were used to detect the effect of exosomes on the mRNA and protein expression of miR-15a-5p and the downstream signaling pathway Bcl-2,Beclin-1,and Rubicon in hepatic stellate cells.RESULTS AND CONCLUSION:(1)Compared with the control group,the ratio of autophagy markers LC3-Ⅱ expression decreased,the number of autophagosome was also significantly decreased,and the intracellular lipid droplets were regenerated,simultaneously,cell volume diminished with the weakening of proliferation in hepatic stellate cells of the exosome group,indicated that the hepatic stellate cell activation was significantly inhibited.(2)Compared with the control group,the expressions of α-smooth actin and type Ⅰ collagen were significantly decreased(P＜0.01),and the expression of miR-15a-5p was significantly increased in hepatic stellate cells of the exosome group(P＜0.01).At the same time,the expression of its downstream target gene Bcl-2 was significantly decreased(P＜0.01),while the expressions of autophagy genes Beclin-1 and Rubicon were significantly increased in hepatic stellate cells of the exosome group(P＜0.01).The results indicate that adipose tissue-derived mesenchymal stem cell-derived exosomes inhibits the expression of Bcl-2 in hepatic stellate cells by targeting miR-15a-5p and increases the expression of downstream autophagy genes Beclin-1 and Rubicon,thereby inhibiting the autophagy of hepatic stellate cells.

Objective To investigate the role of matrix GLA protein(MGP)in the pathogenesis of idiopathic calcium oxalate kidney stones(ICOS),and to find potential biomarkers for early diagnosis and disease evaluation.Methods A total of 120 patients admitted to our hospital from September 2021 to September 2023 were prospectively included,of which 60 patients with ICOS were in the calculus group and 60 patients without calculus were in the control group.Serum biochemical indexes and immunohistochemical scores of the two groups were detected,urinary MGP levels were determined by ELISA,and MGP mRNA and protein expression in renal papilla tissues were detected by qPCR and Western blot.The independent risk factors of ICOS were screened by Logistic regression analysis,and the prediction model was drawn by nomogram.Results Compared with control group,urinary MGP content in calculus group was decreased[(1 805.91±244.44)pg/ml vs.(2 014.79±252.14)pg/mnl,P＜0.05).Expression of MGP mRNA and MGP protein in renal papillae decreased(0.89±0.15 vs.1.00±0.00,P=0.001)and decreased(0.87±0.18 vs.1.00±0.00,P＜0.05).MGP immunohistochemical scores of renal tissue were decreased[4(2-6)scores vs.6(4-8)scores,P＜0.001].Multivariate analysis showed that urinary calcium(OR=1.370),urinary MGP(OR=1.127),renal papilla MGP relative expression level(OR=27.532)and renal tissue MGP immunohistochemical score(OR=1.359)were independent risk factors for ICOS.Area under ROC curve of the nomogram prediction model built based on the above factors is 0.839,indicating that the model has good differentiation ability in risk prediction.Conclusion MGP is closely related to the pathogenesis of ICOS.Urinary and renal tissue MGP levels may be potential biomarkers for early diagnosis and disease assessment of ICOS.

Objective To explore the relationship between the degree of compression and shape grading of the cerebral cistern ambiens in hypertensive cerebral hemorrhage(HCH)patients after neural endoscopic intracranial hematoma evacuation(NEIHE)and prognosis.Methods 246 HCH patients who underwent NEIHE surgery from January 2020 to June 2023 were selected as the research subjects.According to the postoperative 6 month Glasgow outcome score(GOS),the patients were divided into good prognosis group(n=158)and poor prognosis group(n=88).Hierarchical regression model was used to analyze the relationship between clinical pathological features and the degree of compression and shape grading of the cerebral cistern ambiens.Multivariate logistic regression model was used to analyze the independent risk factors affecting the poor prognosis of patients with HCH after NEIHE,and a prediction model was constructed.Receiver operating characteristic curve(ROC curve)was drawn with poor prognosis as the outcome variable.Area under the curve(AUC),integrated discrimination improvement(IDI)and net reclassification improvement(NRI)of different prediction models were compared.Hosmer-Lemeshow was used to test the goodness of fit.Generalized additive model(GAM)was used to analyze the relationship between GOS and related factors.Results Compared with the good prognosis group,the poor prognosis group had more preoperative blood loss,lower preoperative Glasgow coma score(GCS),and higher proportion of patients with midline deviation,hypertension history ≥10 years,hemorrhage breaking into the brain ventricle,and operation time in the late stage,the differences were statistically significant(P＜0.05).Compared with the good prognosis group,the proportions of patients with ipsilateral and contralateral cerebral cistern ambiens compression of 3 to 4 points and the morphological classification of cerebral cistern ambiens of grade V in the poor prognosis group were higher,and the differences were statistically significant(P＜0.05).The location of bleeding,midline deviation,and intracranial pressure all had an impact on the degree of compression and morphological grading of the cerebral cistern ambiens,and the differences were statistically significant(P＜0.05).Multivariate Logistic regression analysis(model 2:including the degree of compression and shape grading of the cerebral cistern ambiens)showed that midline deviation,history of hypertension ≥10 years,preoperative bleeding volume＞37 mL,bleeding into the brain ventricles,preoperative GCS＜7 points,late surgical timing,degree of compression of the cerebral cistern ambiens(3 to 4 points on the same side of hematoma,3 to 4 points on the opposite side of hematoma),and grade V morphology were all risk factors influencing the poor prognosis of patients with HCH after NEIHE(P＜0.05).After incorporating the degree of compression and morphological grading of the cerebral cistern ambiens into model 1(excluding the degree of compression and shape grading of the cerebral cistern ambiens),the AUC increased to 0.812(95％CI:0.763～0.872),and both the IDI(0.081,95％CI:0.049～0.095)and NRI(0.611,95％CI:0.510～0.674)of the model improved,with statistically significant differences(P＜0.05).Compared with model 1,model 2 showed an increase in AUC(0.826,95％CI:0.771～0.863),IDI(0.085,95％CI:0.052～0.110),and NRI(0.628,95％CI:0.510～0.709),with statistically significant differences(P＜0.05).The Hosmer-Lemeshow test showed that model 2(P=0.878)had a better fit for predicting poor prognosis than model 1(P=0.691).GAM analysis showed that the higher the degree of compression and morphological grading of the cerebral cistern ambiens,the lower the GOS,and the difference was statistically significant(P＜0.05).ROC curve analysis showed that the combined application of degree of compression and morphological grading of the cerebral cistern ambiens had a high predictive value for poor prognosis,with AUC of 0.935(95％CI:0.890～0.971),sensitivity of 70.26％,and specificity of 93.84％.Conclusion The degree of compression and shape changes of the cerebral cistern ambiens in HCH patients after NEIHE are closely related to prognosis,and the combined application has certain predictive value for poor prognosis.The location of bleeding,midline deviation,intracranial pressure,and other factors significantly affect the compression degree and shape change of the cerebral cistern ambiens.

Objective To observe the impact of brain-computer interface(BCI)robot combined with task-oriented training(TOT)on hand function and activities of daily living in stroke patients.Methods A total of 40 patients with subacute stroke who were hospitalized in the Department of Rehabilitation Medicine of Anhui No.2 Province People's Hospital from December 2022 to December 2024 were prospectively and consecutively included in this study.The stroke patients were randomly assigned to the experimental group and the control group using the random number table method,with 20 cases in each group.Baseline data were collected from all patients,including gender,age,personal history(smoking,drinking),past medical history(hypertension,diabetes),stroke type(hemorrhagic stroke,ischemic stroke),hemiplegia side(left,right),disease course,stroke location(basal ganglia,internal capsule),and admission assessment indicators(including kinesthetic and visual imagery questionnaire[KVIQ-20]score,mini-mental state examination[MMSE]score and National Institutes of Health stroke scale[NIHSS]score).Both groups of patients received conventional rehabilitation training and TOT.The experimental group then underwent BCI robot training combined with TOT on this basis.Both groups received treatments for 4 weeks,and the upper limb and hand functions of all patients were evaluated using the Fugl-Meyer upper extremity function assessment scale(FMA-UE),the wrist-hand part of the FMA-UE scale(FMA-WH),the Wolf motor function test(WMFT),and the modified Ashworth scale(MAS)before and after the treatment;the hand function related part(feeding[10 score],bathing[5 score],dressing[10 score],grooming[5 score],and toilet using[10 score])of modified Barthel index(MBI)was used to assess the patients'hand dexterity to perform daily activities.Results(1)No statistically significant differences were found in the baseline data between the two groups of patients(all P＞0.05).(2)Before treatment,the scores of FMA-UE,FMA-WH,WMFT,MAS and hand function related score of MBI in the experimental group were(18.75±7.38),(2.95±1.54),(26.90±8.69),(1.10±0.66),and(15.45±1.82)respectively,while those in the control group were(15.90±5.39),(2.25±1.12),(24.15±6.78),(1.25±0.60),and(15.65±3.12)respectively.There were no statistically significant differences in the scores of FMA-UE,FMA-WH,WMFT,MAS and hand function related score of MBI between the two groups before treatment(all P＞0.05).After 4 weeks of treatment,the scores of FMA-UE,FMA-WH,WMFT,MAS and hand function related score of MBI in the experimental group were(27.10±7.76),(5.75±2.97),(40.85±10.19),(0.73±0.57),and(21.15±2.66)respectively,while those in the control group were(21.25±5.29),(4.00±1.49),(31.85±7.60),(0.73±0.64),and(17.40±3.14)respectively.The time main effects(Ftime values were 925.061,138.138,624.635 and 405.986 respectively,all P＜0.01),group main effects(Fgroup values were 4.460,4.562,5.011 and 4.411 respectively,all P＜0.05),and the interaction effects of time and group(Ftime×group values were 44.358,7.356,52.506 and 114.128 respectively,all P＜0.05)of FMA-UE,FMA-WH,WMFT and hand function related score of MBI scores were all significant.The time main effect of MAS scores was significant(Ftime value was 59.478,P＜0.01),while the group main effect(Fgroup value was 0.162,P＞0.05),the interaction effects of time and group(Ftime×group value was 1.652,P＞0.05)were not significant.Conclusion The combined task-oriented training with BCI robots can improve the upper limb and hand functions of stroke patients,enhance their ability to perform daily activities,and the effect is superior to that of single task-oriented training.

Objective To explore the relationship between the degree of compression and shape grading of the cerebral cistern ambiens in hypertensive cerebral hemorrhage(HCH)patients after neural endoscopic intracranial hematoma evacuation(NEIHE)and prognosis.Methods 246 HCH patients who underwent NEIHE surgery from January 2020 to June 2023 were selected as the research subjects.According to the postoperative 6 month Glasgow outcome score(GOS),the patients were divided into good prognosis group(n=158)and poor prognosis group(n=88).Hierarchical regression model was used to analyze the relationship between clinical pathological features and the degree of compression and shape grading of the cerebral cistern ambiens.Multivariate logistic regression model was used to analyze the independent risk factors affecting the poor prognosis of patients with HCH after NEIHE,and a prediction model was constructed.Receiver operating characteristic curve(ROC curve)was drawn with poor prognosis as the outcome variable.Area under the curve(AUC),integrated discrimination improvement(IDI)and net reclassification improvement(NRI)of different prediction models were compared.Hosmer-Lemeshow was used to test the goodness of fit.Generalized additive model(GAM)was used to analyze the relationship between GOS and related factors.Results Compared with the good prognosis group,the poor prognosis group had more preoperative blood loss,lower preoperative Glasgow coma score(GCS),and higher proportion of patients with midline deviation,hypertension history ≥10 years,hemorrhage breaking into the brain ventricle,and operation time in the late stage,the differences were statistically significant(P＜0.05).Compared with the good prognosis group,the proportions of patients with ipsilateral and contralateral cerebral cistern ambiens compression of 3 to 4 points and the morphological classification of cerebral cistern ambiens of grade V in the poor prognosis group were higher,and the differences were statistically significant(P＜0.05).The location of bleeding,midline deviation,and intracranial pressure all had an impact on the degree of compression and morphological grading of the cerebral cistern ambiens,and the differences were statistically significant(P＜0.05).Multivariate Logistic regression analysis(model 2:including the degree of compression and shape grading of the cerebral cistern ambiens)showed that midline deviation,history of hypertension ≥10 years,preoperative bleeding volume＞37 mL,bleeding into the brain ventricles,preoperative GCS＜7 points,late surgical timing,degree of compression of the cerebral cistern ambiens(3 to 4 points on the same side of hematoma,3 to 4 points on the opposite side of hematoma),and grade V morphology were all risk factors influencing the poor prognosis of patients with HCH after NEIHE(P＜0.05).After incorporating the degree of compression and morphological grading of the cerebral cistern ambiens into model 1(excluding the degree of compression and shape grading of the cerebral cistern ambiens),the AUC increased to 0.812(95％CI:0.763～0.872),and both the IDI(0.081,95％CI:0.049～0.095)and NRI(0.611,95％CI:0.510～0.674)of the model improved,with statistically significant differences(P＜0.05).Compared with model 1,model 2 showed an increase in AUC(0.826,95％CI:0.771～0.863),IDI(0.085,95％CI:0.052～0.110),and NRI(0.628,95％CI:0.510～0.709),with statistically significant differences(P＜0.05).The Hosmer-Lemeshow test showed that model 2(P=0.878)had a better fit for predicting poor prognosis than model 1(P=0.691).GAM analysis showed that the higher the degree of compression and morphological grading of the cerebral cistern ambiens,the lower the GOS,and the difference was statistically significant(P＜0.05).ROC curve analysis showed that the combined application of degree of compression and morphological grading of the cerebral cistern ambiens had a high predictive value for poor prognosis,with AUC of 0.935(95％CI:0.890～0.971),sensitivity of 70.26％,and specificity of 93.84％.Conclusion The degree of compression and shape changes of the cerebral cistern ambiens in HCH patients after NEIHE are closely related to prognosis,and the combined application has certain predictive value for poor prognosis.The location of bleeding,midline deviation,intracranial pressure,and other factors significantly affect the compression degree and shape change of the cerebral cistern ambiens.

Objective To observe the impact of brain-computer interface(BCI)robot combined with task-oriented training(TOT)on hand function and activities of daily living in stroke patients.Methods A total of 40 patients with subacute stroke who were hospitalized in the Department of Rehabilitation Medicine of Anhui No.2 Province People's Hospital from December 2022 to December 2024 were prospectively and consecutively included in this study.The stroke patients were randomly assigned to the experimental group and the control group using the random number table method,with 20 cases in each group.Baseline data were collected from all patients,including gender,age,personal history(smoking,drinking),past medical history(hypertension,diabetes),stroke type(hemorrhagic stroke,ischemic stroke),hemiplegia side(left,right),disease course,stroke location(basal ganglia,internal capsule),and admission assessment indicators(including kinesthetic and visual imagery questionnaire[KVIQ-20]score,mini-mental state examination[MMSE]score and National Institutes of Health stroke scale[NIHSS]score).Both groups of patients received conventional rehabilitation training and TOT.The experimental group then underwent BCI robot training combined with TOT on this basis.Both groups received treatments for 4 weeks,and the upper limb and hand functions of all patients were evaluated using the Fugl-Meyer upper extremity function assessment scale(FMA-UE),the wrist-hand part of the FMA-UE scale(FMA-WH),the Wolf motor function test(WMFT),and the modified Ashworth scale(MAS)before and after the treatment;the hand function related part(feeding[10 score],bathing[5 score],dressing[10 score],grooming[5 score],and toilet using[10 score])of modified Barthel index(MBI)was used to assess the patients'hand dexterity to perform daily activities.Results(1)No statistically significant differences were found in the baseline data between the two groups of patients(all P＞0.05).(2)Before treatment,the scores of FMA-UE,FMA-WH,WMFT,MAS and hand function related score of MBI in the experimental group were(18.75±7.38),(2.95±1.54),(26.90±8.69),(1.10±0.66),and(15.45±1.82)respectively,while those in the control group were(15.90±5.39),(2.25±1.12),(24.15±6.78),(1.25±0.60),and(15.65±3.12)respectively.There were no statistically significant differences in the scores of FMA-UE,FMA-WH,WMFT,MAS and hand function related score of MBI between the two groups before treatment(all P＞0.05).After 4 weeks of treatment,the scores of FMA-UE,FMA-WH,WMFT,MAS and hand function related score of MBI in the experimental group were(27.10±7.76),(5.75±2.97),(40.85±10.19),(0.73±0.57),and(21.15±2.66)respectively,while those in the control group were(21.25±5.29),(4.00±1.49),(31.85±7.60),(0.73±0.64),and(17.40±3.14)respectively.The time main effects(Ftime values were 925.061,138.138,624.635 and 405.986 respectively,all P＜0.01),group main effects(Fgroup values were 4.460,4.562,5.011 and 4.411 respectively,all P＜0.05),and the interaction effects of time and group(Ftime×group values were 44.358,7.356,52.506 and 114.128 respectively,all P＜0.05)of FMA-UE,FMA-WH,WMFT and hand function related score of MBI scores were all significant.The time main effect of MAS scores was significant(Ftime value was 59.478,P＜0.01),while the group main effect(Fgroup value was 0.162,P＞0.05),the interaction effects of time and group(Ftime×group value was 1.652,P＞0.05)were not significant.Conclusion The combined task-oriented training with BCI robots can improve the upper limb and hand functions of stroke patients,enhance their ability to perform daily activities,and the effect is superior to that of single task-oriented training.