Objective:To investigate the impact of frailty on post-stroke depression (PSD) in patients with acute ischemic stroke and to identify risk factors for PSD in order to construct a risk prediction model.Methods:A convenience sampling method was used to recruit a total of 450 patients with acute ischemic stroke who were treated in the Department of Neurology at the Affiliated Hospital of Jining Medical University from March 2023 to April 2024. Data were collected using the Edmonton Frail Scale, Hamilton Depression Rating Scale, Barthel Index (Activities of Daily Living, ADL), Pittsburgh Sleep Quality Index, and Morse Fall Scale. Binary logistic regression analysis was performed to explore the impact of frailty on PSD and to identify other risk factors. Based on the results, a predictive model was developed.Results:A total of 450 questionnaires were distributed, with 412 valid responses returned, yielding a valid response rate of 91.56%. The incidence of PSD among the 412 patients was 45.63% (188/412). Binary Logistic regression analysis showed that frailty, sleep disturbance, C-reactive protein (CRP), and ADL score were the influencing factors for PSD in patients with acute ischemic stroke ( P<0.05). These factors were incorporated into the predictive model, and a risk nomogram was constructed. The area under the curve of the model was 0.764 [95% CI (0.716, 0.811) ], indicating good discriminative ability. Internal validation of the nomogram using the Hosmer-Lemeshow goodness-of-fit test showed χ 2=5.883, P=0.66 ( P>0.05), suggesting good calibration of the model. Conclusions:Frailty increases the risk of post-stroke depression in patients with acute ischemic stroke. Sleep disturbance, CRP level, and ADL score are important screening indicators for PSD risk. Targeted assessment and early intervention are recommended to reduce the likelihood of PSD.

Objective:To investigate the impact of frailty on post-stroke depression (PSD) in patients with acute ischemic stroke and to identify risk factors for PSD in order to construct a risk prediction model.Methods:A convenience sampling method was used to recruit a total of 450 patients with acute ischemic stroke who were treated in the Department of Neurology at the Affiliated Hospital of Jining Medical University from March 2023 to April 2024. Data were collected using the Edmonton Frail Scale, Hamilton Depression Rating Scale, Barthel Index (Activities of Daily Living, ADL), Pittsburgh Sleep Quality Index, and Morse Fall Scale. Binary logistic regression analysis was performed to explore the impact of frailty on PSD and to identify other risk factors. Based on the results, a predictive model was developed.Results:A total of 450 questionnaires were distributed, with 412 valid responses returned, yielding a valid response rate of 91.56%. The incidence of PSD among the 412 patients was 45.63% (188/412). Binary Logistic regression analysis showed that frailty, sleep disturbance, C-reactive protein (CRP), and ADL score were the influencing factors for PSD in patients with acute ischemic stroke ( P<0.05). These factors were incorporated into the predictive model, and a risk nomogram was constructed. The area under the curve of the model was 0.764 [95% CI (0.716, 0.811) ], indicating good discriminative ability. Internal validation of the nomogram using the Hosmer-Lemeshow goodness-of-fit test showed χ 2=5.883, P=0.66 ( P>0.05), suggesting good calibration of the model. Conclusions:Frailty increases the risk of post-stroke depression in patients with acute ischemic stroke. Sleep disturbance, CRP level, and ADL score are important screening indicators for PSD risk. Targeted assessment and early intervention are recommended to reduce the likelihood of PSD.

Objective:To explore the correlation between frailty and carotid plaque stability in patients with ischemic stroke.Methods:This study was a cross-sectional study. From May to December 2023, convenience sampling was used to select 360 patients with ischemic stroke in the Department of Neurology of Affiliated Hospital of Jining Medical University and underwent carotid artery color Doppler ultrasound examination as the study subject. Patients were surveyed using the General Information Questionnaire, Barthel Index and the Edmonton Frail Scale. Carotid artery color Doppler ultrasound was used to evaluate the stability of carotid plaques in patients. Multivariate Logistic regression was used to explore the correlation between frailty and carotid plaque stability.Results:A total of 360 questionnaires were distributed, and 352 valid questionnaires were collected, with a valid response rate of 97.78%. The incidence of frailty in 352 ischemic stroke patients was 44.89% (158/352). Multivariate analysis showed that compared to stable plaques, unstable carotid plaques were an independent risk factor for frailty in patients with ischemic stroke ( OR=2.127, 95% confidence interval: 1.247-3.626) . Conclusions:Compared to stable plaques, unstable carotid plaques increase the risk of frailty in patients with ischemic stroke. Strengthening the assessment of carotid plaques in patients with ischemic stroke by nursing staff can early identify high-risk individuals for frailty, and timely carry out personalized interventions, thereby reducing the occurrence of adverse health events in patients.

Objective : To investigate the effect of riboflavin on inactivation of pathogens under different light time conditions． Methods : Plasma containing vesicular stomatitis virus (VSV) was divided into 4 groups，and the final concentrations of riboflavin were 50，100，150 μmol / L and 0 μmol / L was used as the control group．The growth titers at 10，15，20 and 25 min were observed．The control group was treated with no light．The growth titers of VSV culture before and after inactivation were calculated by Reed-Muench method，and the effect of different concentrations of riboflavin on the inactivation effect was evaluated by log reduction factor after inactivation. Results : Under the condition of no light，the addition of riboflavin had no pathogen inactivation effect．With the increase of light time from 15 min to 25 min，the inactivation effect of VSV in the non-riboflavin group increased．When the light was less than 15 min，there was no significant difference in the inactivation effect of 50 to 150 μmol / L riboflavin VSV．When the light duration was 15 to 25 min，the inactivation effect of VSV was enhanced after the addition of riboflavin，but there was no difference between different concentrations of riboflavin groups． Conclusion The inactivation effect of riboflavin pathogen within 25 min is better with the increase of light time，and has little influence on riboflavin concentration.