Objective To use AI-assisted motor dysfunction assessment for quantitative evaluation of motor function in Parkinson's disease(PD)and multiple system atrophy-Parkinsonian type(MSA-P)in order to achieve accurate differential diagnosis.Methods A total of 105 participants aged ≥60 years were consecutively enrolled from the First and Third Medical Centers of Chinese PLA General Hospital between January and September 2024.Based on diagnostic criteria,they were divided into a PD group(48 cases),a MSA-P group(31 cases),and a control group(26 cases).The general information was collected,and the motor function was evaluated with Move-ment Dysfunction Assessment Software in order to assess the diagnostic value of the AI-assisted assessment in differentiating between PD and MSA-P.Results Significantly differences were observed among the three groups in terms of facial expression indicators,bilateral finger tapping frequency,bilateral hand movement frequency,right hand movement amplitude change rate,bilat-eral palm flipping frequency,bilateral toe tapping frequency,freezing load of bilateral toe tapping,bilateral leg flexibility frequency,right leg flexibility amplitude change rate,freezing load of bilat-eral leg flexibility,upright extension angular velocity,turnaround time,forward step frequency,backward step frequency,forward average stride length,backward average stride length,forward average walking speed,backward average walking speed,forward average step width,backward average step width,bilateral postural tremor frequency,bilateral postural tremor maximum am-plitude,bilateral action tremor frequency,bilateral action tremor maximum amplitude,and com-parison of bilateral resting tremor frequency(P＜0.05,P＜0.01).The MSA-P group exhibited significantly lower blink frequency,maximum amplitude and frequency of facial tremors,upright extension angular velocity,and step frequency,while higher ratio of mouth opening duration and longer turnaround time when compared with the PD group(P＜0.05,P＜0.01).The AUC value of the combined nine motor function indicators and the five facial expression indicators in differ-entiating PD from MSA-P was 0.943(95％CI:0.895-0.991,P=0.000)and 0.925(95％CI:0.870-0.981,P=0.000),respectively,both better than that of individual indicators.Conclusion Combi-nation assessment of facial expression,posture,gait with AI assistance can contribute to the dif-ferential diagnosis of PD and MSA-P.

Objective To explore the related influencing factors of orthostatic hypotension in patients with multiple system atrophy(MSA).Methods A retrospective study was conducted on 40 elderly MSA patients with orthostatic hypotension(MSA group)admitted to our department from January 2024 to March 2025,and another 46 elderly healthy individuals without orthostatic hypotension who taking physical examination were subjected and served as control group.General clinical data and related clinical indicators were compared between the two groups,and the related serum biomarkers of orthostatic hypotension in MSA patients were analyzed.Results The levels of vitamin D,low-density lipoprotein cholesterol(LDL-C),and uric acid were significantly lower in the MSA group than the control group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that vitamin D,LDL-C,and uric acid levels were risk factors for the occurrence of orthostatic hypotension in MSA patients(OR=0.677,95％CI:0.530-0.864,P＜0.01;OR=0.057,95％CI:0.007-0.434,P＜0.01;OR=0.972,95％CI:0.954-0.992,P＜0.01).ROC curve analysis indicated that the optimal cut-off value of vitamin D,LDL-C,and uric acid levels in predicting the occurrence of orthostatic hypotension in MSA patients was 21.850 μg/L,2.895 mmol/L,and 274.500 μmol/L,the sensitivity was 0.848,0.630 and 0.783,and the specificity was 0.792,0.750 and 0.667,and the AUC value was 0.862,0.683 and 0.748,respectively.Conclusion Monitoring serum biomarkers,such as vitamin D,LDL-C,and uric acid may be helpful for the risk assessment and management of orthostatic hypotension in MSA patients.

Notum, a negative feedback regulator of the Wnt signaling, has emerged as a promising target for treating glucocorticoid-induced osteoporosis (GIOP). This study showcases an efficient strategy for discovering the anti-Notum constituents from herbal medicines (HMs) as novel anti-GIOP agents. Firstly, a rapid-responding near-infrared fluorogenic substrate for Notum was rationally engineered for high-throughput identifying the anti-Notum HMs. The results showed that Bu-Gu-Zhi (BGZ), a known anti-osteoporosis herb, potently inhibited Notum in a competitive-inhibition manner. To uncover the key anti-Notum constituents in BGZ, an efficient strategy was adapted via integrating biochemical, phytochemical, computational, and pharmacological assays. Among all identified BGZ constituents, three furanocoumarins were validated as strong Notum inhibitors, while 5-methoxypsoralen (5-MP) showed the most potent anti-Notum activity and favorable safety profiles. Mechanistically, 5-MP acted as a competitive inhibitor of Notum via creating strong hydrophobic interactions with Trp128 and Phe268 in the catalytic cavity of Notum. Cellular assays showed that 5-MP remarkably promoted osteoblast differentiation and activated Wnt signaling in dexamethasone (DXMS)-challenged MC3T3-E1 osteoblasts. In dexamethasone-induced osteoporotic mice, 5-MP strongly elevated bone mineral density (BMD) and improved cancellous and cortical bone thickness. Collectively, this study constructs a high-efficient platform for discovering key anti-Notum constituents from HMs, while 5-MP emerges as a promising anti-GIOP agent.

Objective To systematically evaluate the effect of inspiratory muscle training(IMT)on weaning outcomes in patients with weaning failure.Methods Literatures in Chinese and English were retrieved from databases such as PubMed,Cochrane Library,Web of Science,Embase,CNKI,VIP,Wanfang data and CBM for researches on the effect of IMT in mechanical ventila-tion weaning failure,from the inception of the databases to October 22,2024.The methodological quality of the researches was evaluated with PEDro scale,and data were extracted for a systematic review.Results Nine randomized controlled trials were included,published between 2011 and 2023,from Brazil,China,the United States,Iran and Australia,with a total of 499 patients.The scores of the PEDro scale ranged five to eight.The population included patients with prolonged weaning,difficult weaning and tracheostomy.The IMT methods included threshold load training and tapered flow resistance training.The training intensity was 30%to 80%of maximal inspiratory pressure(MIP),and some researches did not set the training intensity based on MIP.The pro-gression of intensity varied widely across researches.The intervention frequency ranged from five to 30 breaths per set,with at least one minute rest between sets,two to six sets per session,one to two sessions per day,and five to seven days per week.The duration of the intervention ranged from successful weaning,one week after weaning,extubation,or four days to eight weeks.Regarding the efficacy of the intervention,IMT was not benefi-cial for the duration of mechanical ventilation and intensive care unit(ICU)length of stay on weaning failure pa-tients.However,the effect of IMT on weaning successful rates,duration of weaning,MIP and mortality was in-consistent.Conclusion IMT can not improve the duration of mechanical ventilation and ICU length of stay for weaning failure pa-tients,and there is still debate regarding its effect on successful rate of weaning,duration of weaning,MIP and mortality.

Objective To compare the predictive effectiveness of the Glasgow coma scale(GCS),GCS-pupils scale(GCS-P),Glasgow-Pittsburgh coma scale(GPCS),full outline of unresponsiveness scale(FOUR),and coma recovery scale-revised(CRS-R)in forecasting the prognosis of severe stroke patients.Methods A prospective,consecutive cohort of severe stroke patients admitted to the Department of Neurology,First Medical Center of Chinese PLA General Hospital from September 2021 to April 2024 was enrolled.Demographic and clinical data were collected,including age,sex,length of hospital stay,diagnosis(severe ischemic stroke,severe cerebral hemorrhage,aneurysmal subarachnoid hemorrhage),medical history(hypertension,diabetes,coronary artery disease),smoking and drinking habits,vital signs upon admission(temperature,pulse,respiration,blood pressure),neurological examination findings(including speech and brainstem reflexes)at admission,head imaging results(CT,MRI)within 24 h of admission to assess the presence of brain herniation,and whether intubation occurred within 24 h of admission.Patients underwent GCS,GCS-P,GPCS,FOUR,and CRS-R scoring within 8h of admission.Telephone follow-up was conducted at 6 months post-stroke to assess outcomes using the modified Rankin scale(mRS),with mRS scores of 0-2 classified as the good prognosis group and 3-6 as the poor prognosis group.The receiver operating characteristic(ROC)curve was used to assess the prognostic prediction value of the five scales for poor outcomes at 6 months.The area under the ROC curve(AUC)was calculated,and pairwise comparisons of AUC were performed using the Delong test.Results A total of 179 severe stroke patients were enrolled,including 116 males and 63 females.The group consisted of 132 patients with severe ischemic stroke,30 with severe intracerebral hemorrhage,and 17 with aneurysmal subarachnoid hemorrhage.At 6months,126patients had a poor prognosis and 53 had a good prognosis.(1)There were statistically significant differences in age,temperature,pulse,history of coronary artery disease,smoking and drinking habits,presence of speech impairment,abnormal brainstem reflexes,brain herniation,intubation within 24 h of admission,and GCS,GCS-P,GPCS,FOUR,and CRS-R scores between the poor and good prognosis groups(all P＜0.05).(2)ROC analysis revealed that the AUC(95％CI)for predicting poor outcomes at 6 months in severe stroke patients for GCS,GCS-P,GPCS,FOUR,and CRS-R were 0.808(0.742-0.863),0.815(0.750-0.869),0.828(0.765-0.880),0.841(0.780-0.892),and 0.831(0.768-0.883),respectively.Sensitivities were 76.98％,78.57％,82.54％,84.13％,and 82.54％,and specificities were 73.58％,73.58％,67.92％,71.70％,and 73.58％,respectively.The FOUR had the highest AUC,with an optimal cutoff value of 13.(3)Pairwise comparisons of AUC showed a statistically significant difference between the FOUR and GCS(the difference value of AUC is 0.034,95％CI 0.004-0.064,Z=2.194,P=0.028),but no significant differences were observed between other scales(all P＞0.05).Conclusion Compared to GCS,GCS-P,GPCS,and CRS-R,FOUR may provide more valuable prognostic information for severe stroke patients.

Objective To systematically evaluate the effect of inspiratory muscle training(IMT)on weaning outcomes in patients with weaning failure.Methods Literatures in Chinese and English were retrieved from databases such as PubMed,Cochrane Library,Web of Science,Embase,CNKI,VIP,Wanfang data and CBM for researches on the effect of IMT in mechanical ventila-tion weaning failure,from the inception of the databases to October 22,2024.The methodological quality of the researches was evaluated with PEDro scale,and data were extracted for a systematic review.Results Nine randomized controlled trials were included,published between 2011 and 2023,from Brazil,China,the United States,Iran and Australia,with a total of 499 patients.The scores of the PEDro scale ranged five to eight.The population included patients with prolonged weaning,difficult weaning and tracheostomy.The IMT methods included threshold load training and tapered flow resistance training.The training intensity was 30%to 80%of maximal inspiratory pressure(MIP),and some researches did not set the training intensity based on MIP.The pro-gression of intensity varied widely across researches.The intervention frequency ranged from five to 30 breaths per set,with at least one minute rest between sets,two to six sets per session,one to two sessions per day,and five to seven days per week.The duration of the intervention ranged from successful weaning,one week after weaning,extubation,or four days to eight weeks.Regarding the efficacy of the intervention,IMT was not benefi-cial for the duration of mechanical ventilation and intensive care unit(ICU)length of stay on weaning failure pa-tients.However,the effect of IMT on weaning successful rates,duration of weaning,MIP and mortality was in-consistent.Conclusion IMT can not improve the duration of mechanical ventilation and ICU length of stay for weaning failure pa-tients,and there is still debate regarding its effect on successful rate of weaning,duration of weaning,MIP and mortality.

Objective To use AI-assisted motor dysfunction assessment for quantitative evaluation of motor function in Parkinson's disease(PD)and multiple system atrophy-Parkinsonian type(MSA-P)in order to achieve accurate differential diagnosis.Methods A total of 105 participants aged ≥60 years were consecutively enrolled from the First and Third Medical Centers of Chinese PLA General Hospital between January and September 2024.Based on diagnostic criteria,they were divided into a PD group(48 cases),a MSA-P group(31 cases),and a control group(26 cases).The general information was collected,and the motor function was evaluated with Move-ment Dysfunction Assessment Software in order to assess the diagnostic value of the AI-assisted assessment in differentiating between PD and MSA-P.Results Significantly differences were observed among the three groups in terms of facial expression indicators,bilateral finger tapping frequency,bilateral hand movement frequency,right hand movement amplitude change rate,bilat-eral palm flipping frequency,bilateral toe tapping frequency,freezing load of bilateral toe tapping,bilateral leg flexibility frequency,right leg flexibility amplitude change rate,freezing load of bilat-eral leg flexibility,upright extension angular velocity,turnaround time,forward step frequency,backward step frequency,forward average stride length,backward average stride length,forward average walking speed,backward average walking speed,forward average step width,backward average step width,bilateral postural tremor frequency,bilateral postural tremor maximum am-plitude,bilateral action tremor frequency,bilateral action tremor maximum amplitude,and com-parison of bilateral resting tremor frequency(P＜0.05,P＜0.01).The MSA-P group exhibited significantly lower blink frequency,maximum amplitude and frequency of facial tremors,upright extension angular velocity,and step frequency,while higher ratio of mouth opening duration and longer turnaround time when compared with the PD group(P＜0.05,P＜0.01).The AUC value of the combined nine motor function indicators and the five facial expression indicators in differ-entiating PD from MSA-P was 0.943(95％CI:0.895-0.991,P=0.000)and 0.925(95％CI:0.870-0.981,P=0.000),respectively,both better than that of individual indicators.Conclusion Combi-nation assessment of facial expression,posture,gait with AI assistance can contribute to the dif-ferential diagnosis of PD and MSA-P.

Objective To compare the predictive effectiveness of the Glasgow coma scale(GCS),GCS-pupils scale(GCS-P),Glasgow-Pittsburgh coma scale(GPCS),full outline of unresponsiveness scale(FOUR),and coma recovery scale-revised(CRS-R)in forecasting the prognosis of severe stroke patients.Methods A prospective,consecutive cohort of severe stroke patients admitted to the Department of Neurology,First Medical Center of Chinese PLA General Hospital from September 2021 to April 2024 was enrolled.Demographic and clinical data were collected,including age,sex,length of hospital stay,diagnosis(severe ischemic stroke,severe cerebral hemorrhage,aneurysmal subarachnoid hemorrhage),medical history(hypertension,diabetes,coronary artery disease),smoking and drinking habits,vital signs upon admission(temperature,pulse,respiration,blood pressure),neurological examination findings(including speech and brainstem reflexes)at admission,head imaging results(CT,MRI)within 24 h of admission to assess the presence of brain herniation,and whether intubation occurred within 24 h of admission.Patients underwent GCS,GCS-P,GPCS,FOUR,and CRS-R scoring within 8h of admission.Telephone follow-up was conducted at 6 months post-stroke to assess outcomes using the modified Rankin scale(mRS),with mRS scores of 0-2 classified as the good prognosis group and 3-6 as the poor prognosis group.The receiver operating characteristic(ROC)curve was used to assess the prognostic prediction value of the five scales for poor outcomes at 6 months.The area under the ROC curve(AUC)was calculated,and pairwise comparisons of AUC were performed using the Delong test.Results A total of 179 severe stroke patients were enrolled,including 116 males and 63 females.The group consisted of 132 patients with severe ischemic stroke,30 with severe intracerebral hemorrhage,and 17 with aneurysmal subarachnoid hemorrhage.At 6months,126patients had a poor prognosis and 53 had a good prognosis.(1)There were statistically significant differences in age,temperature,pulse,history of coronary artery disease,smoking and drinking habits,presence of speech impairment,abnormal brainstem reflexes,brain herniation,intubation within 24 h of admission,and GCS,GCS-P,GPCS,FOUR,and CRS-R scores between the poor and good prognosis groups(all P＜0.05).(2)ROC analysis revealed that the AUC(95％CI)for predicting poor outcomes at 6 months in severe stroke patients for GCS,GCS-P,GPCS,FOUR,and CRS-R were 0.808(0.742-0.863),0.815(0.750-0.869),0.828(0.765-0.880),0.841(0.780-0.892),and 0.831(0.768-0.883),respectively.Sensitivities were 76.98％,78.57％,82.54％,84.13％,and 82.54％,and specificities were 73.58％,73.58％,67.92％,71.70％,and 73.58％,respectively.The FOUR had the highest AUC,with an optimal cutoff value of 13.(3)Pairwise comparisons of AUC showed a statistically significant difference between the FOUR and GCS(the difference value of AUC is 0.034,95％CI 0.004-0.064,Z=2.194,P=0.028),but no significant differences were observed between other scales(all P＞0.05).Conclusion Compared to GCS,GCS-P,GPCS,and CRS-R,FOUR may provide more valuable prognostic information for severe stroke patients.

Objective To explore the related influencing factors of orthostatic hypotension in patients with multiple system atrophy(MSA).Methods A retrospective study was conducted on 40 elderly MSA patients with orthostatic hypotension(MSA group)admitted to our department from January 2024 to March 2025,and another 46 elderly healthy individuals without orthostatic hypotension who taking physical examination were subjected and served as control group.General clinical data and related clinical indicators were compared between the two groups,and the related serum biomarkers of orthostatic hypotension in MSA patients were analyzed.Results The levels of vitamin D,low-density lipoprotein cholesterol(LDL-C),and uric acid were significantly lower in the MSA group than the control group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that vitamin D,LDL-C,and uric acid levels were risk factors for the occurrence of orthostatic hypotension in MSA patients(OR=0.677,95％CI:0.530-0.864,P＜0.01;OR=0.057,95％CI:0.007-0.434,P＜0.01;OR=0.972,95％CI:0.954-0.992,P＜0.01).ROC curve analysis indicated that the optimal cut-off value of vitamin D,LDL-C,and uric acid levels in predicting the occurrence of orthostatic hypotension in MSA patients was 21.850 μg/L,2.895 mmol/L,and 274.500 μmol/L,the sensitivity was 0.848,0.630 and 0.783,and the specificity was 0.792,0.750 and 0.667,and the AUC value was 0.862,0.683 and 0.748,respectively.Conclusion Monitoring serum biomarkers,such as vitamin D,LDL-C,and uric acid may be helpful for the risk assessment and management of orthostatic hypotension in MSA patients.

Objective:To investigate the predictive value for major adverse cardiovascular events (MACE) occurring within 1 year in patients with old myocardial infarction(OMI) using characteristics of myocardial scar derive from dual-energy CT (DECT) post-processing technique.Methods:OMI patients who received coronary CT angiography following dual-energy CT with late iodine enhancement (LIE-DECT) in the Second Affiliated Hospital of Nantong University from November 2019 to October 2022 were continuously included, and the images of all enrolled patients were reconstructed using 40 keV monoenergetic plus (Mono+) map, LIE (representing myocardial scar) was quantified on left ventricular short-axis images, including the LIE segments, the LIE score, and the LIE degree. All enrolled patients were followed up for MACE, defined as hospitalization for heart failure, malignant arrhythmia, and cardiac death. Regression analysis was used to investigate the relationship between the quantified value of myocardial scar and the occurrence of MACE, and receiver operating characteristic curve (ROC) was used to evaluate the efficacy of quantified value of myocardial scar in predicting MACE. The area under the curve (AUC) was compared using the DeLong test.Results:Finally, 231 patients with OMI were included, and MACE occurred in 37 cases (16.0%) within 1 year after LIE-DECT examination. The LIE segments 5 (4, 7), the LIE score 27 (13, 49) and the LIE degree 9.4%(7.5%, 15.5%) in the MACE group were higher than those in the non-MACE group 3 (2, 5), 9 (6, 15) and 6.7%(6.3%, 7.9%) (all P<0.001). Multivariable logistic regression analysis showed that after adjusting for confounders, the LIE segments ( OR=2.118, P<0.001), the LIE score ( OR=3.168, P<0.001), and the LIE degree ( OR=3.092, P<0.001) remained risk factors for the development of MACE. On ROC analysis, AUC of LIE segments, LIE score and LIE degree were 0.715, 0.822 and 0.806 (all P<0.001), with sensitivities of 81.1%, 86.5%, and 91.9%, and specificities of 53.6%, 69.6%, and 60.8%, respectively. DeLong′s test showed that the predictive efficacy of LIE score and LIE degree was higher than that of LIE segments ( Z=2.63, P=0.008; Z=1.96, P=0.049), and there were no significant differences in the predictive efficacy of LIE score and LIE degree ( Z=0.60, P=0.551). Conclusion:The LIE segments, the LIE score and the LIE degree detected by LIE-DECT 40 keV Mono+maps are risk factors for the occurrence of MACE in patients with OMI and have good efficacy in predicting the occurrence of MACE, which can be used as important indicators for assessing the clinical prognosis of OMI.