ObjectiveTo explore the effect of elbow-wrist functional orthosis on plantar pressure distribution and balance function in stroke patients with hemiplegia. MethodsFrom June, 2024 to April, 2025, 60 patients with post-stroke hemiplegia were recruited from Huashan Hospital, Fudan University, and Shanghai Hebin Rehabilitation Hospital. They were randomly divided into control group (n = 30) and intervention group (n = 30). The control group received routine neurological rehabilitation, while the intervention group received additional training with an elbow-wrist functional orthosis on the affected side, for eight weeks. Before and after intervention, the Modified Ashworth Scale (MAS) of the elbow joint, plantar pressure symmetry index (SI), plantar contact area and mean plantar pressure were recorded, and balance and mobility were assessed using the Berg Balance Scale (BBS), Timed Up & Go Test (TUGT) and 10-Meter Walk Test (10MWT). ResultsTwo cases dropped out in the control group. After treatment, MAS grades of the elbow joint, forefoot SI, affected side plantar pressure area, BBS scores, TUGT and 10MWT of both groups improved (|Z| > 3.969, |t| > 3.528, P < 0.01), while the hindfoot SI and average pressure of the affected foot improved in the intervention group (∣t∣ > 4.264, P < 0.001). Except for TUGT and 10MWT, the intervention group was superior to the control group (∣Z∣ > 2.030, ∣t∣ > 2.096, P < 0.05). ConclusionThe elbow-wrist functional orthosis can enhance balance function in stroke patients with hemiplegia by reducing upper-limb spasticity, optimizing center-of-gravity distribution, and improving postural control.

BACKGROUND:Protein is one of the essential nutrients for the human body and is a key component of human cell tissue.Protein supplementation can promote the synthesis of myofibrillar protein and play a key role in strength training.However,the interaction mechanism and signaling pathway between protein and exercise are still unclear.OBJECTIVE:To explore the mechanism of interaction between exercise and protein,and to optimize the benefits of protein supplementation on exercise performance.METHODS:Using"sports,proteins,amino acids,polypeptide,interaction mechanisms,signaling pathway"as Chinese and English search terms,we searched WanFang Data,CNKI,VIP,and PubMed databases respectively.Articles were screened according to the inclusion criteria,and finally 73 articles were included in the review.RESULTS AND CONCLUSION:Current research on protein supplementation promoting exercise performance mainly focuses on promoting muscle growth,endurance improvement,and body recovery through protein supplementation,but there are differences in the existing experimental results.The interaction mechanism between protein molecules and proteins in the body is not yet clear.The research on the interaction mechanism between exercise and peptides is still in its infancy.Exercise can stimulate the full absorption of external protein intake,which can affect the mechanism of protein molecules in the body.Supplementing peptide nutrition can more accurately affect the body's state,thus better eliminating the phenomena of"sub-health"and"modern diseases."Therefore,studying the interaction mechanism between exercise and proteins is particularly important,delving into the specific mechanisms by which amino acids act on the body,and further exploring the interaction mechanism between exercise and peptides.

BACKGROUND:Protein is one of the essential nutrients for the human body and is a key component of human cell tissue.Protein supplementation can promote the synthesis of myofibrillar protein and play a key role in strength training.However,the interaction mechanism and signaling pathway between protein and exercise are still unclear.OBJECTIVE:To explore the mechanism of interaction between exercise and protein,and to optimize the benefits of protein supplementation on exercise performance.METHODS:Using"sports,proteins,amino acids,polypeptide,interaction mechanisms,signaling pathway"as Chinese and English search terms,we searched WanFang Data,CNKI,VIP,and PubMed databases respectively.Articles were screened according to the inclusion criteria,and finally 73 articles were included in the review.RESULTS AND CONCLUSION:Current research on protein supplementation promoting exercise performance mainly focuses on promoting muscle growth,endurance improvement,and body recovery through protein supplementation,but there are differences in the existing experimental results.The interaction mechanism between protein molecules and proteins in the body is not yet clear.The research on the interaction mechanism between exercise and peptides is still in its infancy.Exercise can stimulate the full absorption of external protein intake,which can affect the mechanism of protein molecules in the body.Supplementing peptide nutrition can more accurately affect the body's state,thus better eliminating the phenomena of"sub-health"and"modern diseases."Therefore,studying the interaction mechanism between exercise and proteins is particularly important,delving into the specific mechanisms by which amino acids act on the body,and further exploring the interaction mechanism between exercise and peptides.

Objective To investigate the effects of different ratios of ω-3 polyunsaturated fatty acids(ω-3 PUFA)on depression and cognitive impairment in patients with major depression.Methods A randomized,double-blinded controlled trial was used to randomly assign patients with depression to a cognitive improvement group,a depression improvement group,and a placebo group.The cognitive improvement group took 1388 mg of docosahexaenoic acid(DHA)and 692 mg of eicosapentaenoic acid(EPA)every day and the depression improvement group took 1248 mg of EPA and 832 mg of DHA every day.The placebo group took the same dose of soybean oil for 12 weeks,during which psychiatric medication was maintained.The 24-item Hamilton depression scale(HAMD-24)was used to evaluate depressive symptoms,and the standardized MATRICS consensus cognitive battery(MCCB)was used to evaluate cognitive function after 6 weeks and 12 weeks,respectively.Results The study recruited a total of 46 patients with depression including 22 in the cognitive improvement group,12 in the depression improvement group,and 12 in the placebo group.After 6 weeks of treatment,the HAMD-24 scores were significantly lower in the depression improvement group(19.00±10.70)and cognitive improvement group(16.58±9.39)than in the placebo group(31.10±10.03)(P<0.01).After 12 weeks of treatment,HAMD-24 scores were significantly lower in the depression improvement group(13.58±8.43)than in the placebo group(28.10±15.04)(P=0.02).No significant interaction effect was found on the cognitive assessment scores in any dimension after 6 weeks and 12 weeks of treatment(P>0.05).The incidence rate of adverse events in the depression improvement group was 16.7%(2/12),and no adverse events were reported in the other two groups.There was no significant difference in the incidence of adverse events among the three groups(P=0.13).Conclusion Treatment with ω-3PUFA for 6 weeks can improve the depressive symptoms of patients with depression.The formula with a higher ratio of EPA exhibits higher effectiveness while the two groups of ω-3PUFA formulas with different ratios do not improve cognitive function.

Objective::Older patients with comorbidity, such as coronary heart disease (CHD) and malignant gastrointestinal tumors, are at a high risk of bleeding events. However, risk prediction models based on risk factor assessment remain unclear. This study aimed to establish an individualized bleeding risk assessment system based on the analysis of 10-year inpatient clinical big data.Methods::Total clinical data of 56,819 patients with CHD and 25,988 patients with malignant digestive tract tumors (admitted from January 2008 to December 2017) were retrospectively collected at the First and Second Medical Centers of Chinese People’s Liberation Army General Hospital. Among them, 1307 patients with CHD and malignant digestive tract tumors were screened as the derivation cohort. The dependent variable was the occurrence of major clinical bleeding events. Baseline statistics and hypothesis tests of differences were performed for independent variables according to the occurrence of bleeding. Decision Tree, eXtreme Gradient Boosting (XGBoost), logistic regression, and random forest models were used for comparison. The accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC) were applied as the criteria for evaluating and verifying model performance. To evaluate this developed model, another cohort comprising 454 patients (admitted from January 2018 to December 2019) was prospectively enrolled as the validation cohort based on the same inclusion and exclusion criteria.Results::Among the 64 variables with <50% missing values, the recursive feature elimination method with a random forest model was used to screen the selected variables. The highest accuracy was obtained following the selection of 10 scalars, and the final model was constructed accordingly. XGBoost demonstrated the best performance comprehensively. The AUC-ROC of this model was 0.981, with an accuracy, sensitivity, and specificity of 0.939, 0.950, and 0.927, respectively. In the validation cohort, the AUC-ROC, accuracy, sensitivity, and specificity of the XGBoost model were 0.702, 0.718, 0.636, and 0.725, respectively. The rate of major bleeding events has a positive correlation with the bleeding risk score quintiles. To allow for convenient clinical application, a smartphone application was developed for easy access and calculation (http://fir.master-wx.com/sghr).Conclusion::We successfully established a risk model and score for predicting bleeding events in older patients with comorbidity, such as CHD and gastrointestinal cancer.

Objective::Older patients with comorbidity, such as coronary heart disease (CHD) and malignant gastrointestinal tumors, are at a high risk of bleeding events. However, risk prediction models based on risk factor assessment remain unclear. This study aimed to establish an individualized bleeding risk assessment system based on the analysis of 10-year inpatient clinical big data.Methods::Total clinical data of 56,819 patients with CHD and 25,988 patients with malignant digestive tract tumors (admitted from January 2008 to December 2017) were retrospectively collected at the First and Second Medical Centers of Chinese People’s Liberation Army General Hospital. Among them, 1307 patients with CHD and malignant digestive tract tumors were screened as the derivation cohort. The dependent variable was the occurrence of major clinical bleeding events. Baseline statistics and hypothesis tests of differences were performed for independent variables according to the occurrence of bleeding. Decision Tree, eXtreme Gradient Boosting (XGBoost), logistic regression, and random forest models were used for comparison. The accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC) were applied as the criteria for evaluating and verifying model performance. To evaluate this developed model, another cohort comprising 454 patients (admitted from January 2018 to December 2019) was prospectively enrolled as the validation cohort based on the same inclusion and exclusion criteria.Results::Among the 64 variables with <50% missing values, the recursive feature elimination method with a random forest model was used to screen the selected variables. The highest accuracy was obtained following the selection of 10 scalars, and the final model was constructed accordingly. XGBoost demonstrated the best performance comprehensively. The AUC-ROC of this model was 0.981, with an accuracy, sensitivity, and specificity of 0.939, 0.950, and 0.927, respectively. In the validation cohort, the AUC-ROC, accuracy, sensitivity, and specificity of the XGBoost model were 0.702, 0.718, 0.636, and 0.725, respectively. The rate of major bleeding events has a positive correlation with the bleeding risk score quintiles. To allow for convenient clinical application, a smartphone application was developed for easy access and calculation (http://fir.master-wx.com/sghr).Conclusion::We successfully established a risk model and score for predicting bleeding events in older patients with comorbidity, such as CHD and gastrointestinal cancer.

OBJECTIVE: To investigate the correlation between the severity of obstructive sleep apnea syndrome (OSAS) and red cell distribution width (RDW) in elderly patients. METHODS: A cross-sectional study was conducted among 311 elderly patients diagnosed with OSAS in the snoring clinic between January, 2015 and October, 2016 and 120 healthy controls without OSAS from physical examination populations in the General Hospital of PLA. The subjects were divided into control group with apnea-hypopnea index (AHI) <5 (=120), mild OSAS group (AHI of 5.0-14.9; =90), moderate OSAS group (AHI of 15.0-29.9; =113) and severe OSAS group (AHI ≥ 30; =108). The clinical characteristics and the results of polysomnography, routine blood tests and biochemical tests of the subjects were collected. Multiple linear regression analysis was used to examine the correlation between OSAS severity and RDW. RESULTS: The levels of RDW and triglyceride were significantly higher in severe OSAS group than in the other groups ( < 0.01). The levels of fasting blood glucose and body mass index were significantly higher in severe and moderate OSAS groups than in mild OSAS group and control group ( < 0.05 or < 0.01). Multiple linear regression analysis showed that AHI was positively correlated with body mass index (β=0.111, =0.032) and RDW (β=0.106, =0.029). The area under ROC curve of RDW for predicting the severity of OSAS was 0.687 (=0.0001). CONCLUSIONS The RDW increases as OSAS worsens and may serve as a potential marker for evaluating the severity of OSAS.
Aged ; Cross-Sectional Studies ; Erythrocyte Indices ; Humans ; Polysomnography ; Severity of Illness Index ; Sleep Apnea, Obstructive

Objective To investigate the effect of PARP inhibitor 3?aminobenzamide(3?AB)on cortical neurons in streptozotocin?induced diabe?tes mellitus(DM)rats and the mechanism. Methods A total of 60 rats were divided into 3 groups randomly:sham?operated control group,DM group and DM+3?AB group,20 rats in each group. Morris maze was used to detect learning and memory abilities in each group. Spectrophotometer assay was used to detect the levels of superoxide dismutase(SOD),glutathione peroxidase(GSH?Px)and malondialdehyde(MDA)in cortex. West?ern blot was used to determine the expression of poly(ADP?ribose)polymerase 1(PARP1)in cortex. Immunohistochemical staining was used to de?termine the expression of caspase?3?immunoreactive neurons in cortex. Results DM rats showed significantly declined learning and memory abili?ties. Compared with the control group,the levels of SOD and GSH?Px were significantly reduced(P<0.01)and the level of MDA was significantly up?regulated(P<0.01)in the DM group. Compared with the DM group,the levels of SOD and GSH?Px were significantly higher(P<0.05)and the level of MDA was significantly lower in the DM+3?AB group(P<0.05). The expression level of PARP1 was significantly up?regulated in the DM group and was significantly decreased in the DM+3?AB group(P<0.01). The level of caspase?3 was significantly higher in the DM group than in the control group(P<0.01),and was significantly decreased in the DM+3?AB group(P<0.01). Conclusion 3?AB protected cortical neurons from apoptosis in DM rats by inhibition of PARP1 and alleviation of oxidative stress.