Objective To explore the clinical efficacy and safety of donepezil(DNPQ)combined with butylphthalide sequential therapy(BST)in the treatment of Parkinson's syndrome(PS).Methods In this study,104 patients with Parkinson's disease(PD)who were diagnosed and treated in the Department of Neurology of The Fourth Hospital of Changsha from January 2020 to November 2023 were randomly divided into a control group(butylphthalide softcapsule combined with DNPQ)and an observation group(BST combined with DNPQ).The main observation indicators of this study were the clinical efficacy and drug-related adverse reactions after 3 months of treatment.The secondary observation indicators were the cognitive function[Montreal Cognitive Assessment(MoCA)and Mini-Mental State Examination(MMSE)],overall condition[Unified Parkinson's Disease Rating Scale(UPDRS)],activity of daily living(ADL),and oxidative stress-related cytokines[recombinant human Parkinson's disease protein 7(PARK7),neurotrophic factor 3(NT3),and C-reactive protein(CRP)]improvement after treatment.Results There were 52 patients in the experimental group and 52 patients in the control group.The treatment efficacy rate in the experimental group was significantly higher than that in the control group(P<0.05),while the incidence of adverse reactions was significantly lower than that in the control group(P<0.05).Before treatment,there were no significant differences in MoCA scores,MMSE scores,UPDRS scores,ADL scores,serum NT3,CRP,and PARK7 levels between the two groups(P>0.05).After treatment,the MoCA score,MMSE score,and ADL score in the experimental group were higher than those in the control group(P<0.05),while the UPDRS score was lower than that in the control group(P<0.05).After treatment,the serum NT3 level in the experimental group was higher than that in the control group(P<0.05),while the serum CRP and PARK7 levels were lower than those in the control group(P<0.05).Conclusion The combination of DNPQ and BST has better clinical efficacy and safety,which can improve cognitive function,ADL and oxidative stress-related cytokine content in patients with PS.

Objective To investigate the effect of a three-tier delirium care management process in patients with acute stroke in neurology intensive care unit(NICU).Methods A total of 50 patients with acute stroke admitted to the NICU of the Fourth Hospital of Changsha from May to September 2021 were assigned to the control group.The patients in the control group received routine NICU nursing care to prevent delirium.Another 50 patients with acute stroke admitted to the NICU from December 2021 to April 2022 were assigned to the trial group.They were managed with the three-tier delirium nursing management process on top of the routine NICU nursing care for the control group.The incidence of ICU delirium(DICU),duration of DICU,length of stay in NICU and the incidence of delirium-related adverse events were compared between the two groups.The degree of delirium and cognitive function before and after the intervention were compared between the two groups as well.Results The trial group had significantly shorter duration of DICU and NICU stay(both P<0.05)and lower incidence rate of delirium-related adverse events(P<0.05)compared to the control group.After the intervention,the trial group showed significantly lower scores on the intensive care delirium screening checklist(ICDSC)and significantly higher scores of cognitive function compared to those of the control group(both P<0.05).Conclusion The three-tier delirium nursing management process can lower the occurrence of delirium in NICU patients with acute stroke,shorten the NICU stay,reduce the safety risk in nursing,and improve the cognitive function.

Objective To develop a Nomogram prediction model for post-stroke delirium (PSD) in patients with acute stroke and to verify the effectiveness of the prediction model. Methods A total of 400 patients with acute stroke,admitted to the Department of Neurology in our hospital between June 2022 and March 2023,were retrospectively included in the study as the training group. Independent risk factors for PSD were identified by Logistic regression analysis. A calibration model was constructed to evaluate the consistency of the model. The area under ROC curve (AUC) was used to evaluate the accuracy of the prediction model. Between April and July 2023,172 patients with acute stroke were selected,as the validation group,for external validation of the model. Results The incidence of PSD was found at 27.50％ in the training group and 26.74％ in the validation group. A Nomogram prediction model was constructed with the five predictors:cerebrovascular interventional surgery,hypersensitive C-reactive protein,smoking,National Institutes of Health Stroke Scale (NIHSS) score and age. The calibration curve was found close to the ideal curve with an AUC at 0.797 for the training group,and the risk prediction corresponding to the maximum Youden index was 0.554 with a predicted threshold of 134.63. The calibration curve of the validation group was also found close to the ideal curve,with an AUC of 0.844. Conclusion The nomogram prediction model for PSD in patients with acute stroke demonstrates a good risk prediction value for risk assessment,which can help medical staff to effectively predict the risk for PSD in patients with acute stroke and to take corresponding measures in prevention of PSD.

Objective To develop a Nomogram prediction model for post-stroke delirium (PSD) in patients with acute stroke and to verify the effectiveness of the prediction model. Methods A total of 400 patients with acute stroke,admitted to the Department of Neurology in our hospital between June 2022 and March 2023,were retrospectively included in the study as the training group. Independent risk factors for PSD were identified by Logistic regression analysis. A calibration model was constructed to evaluate the consistency of the model. The area under ROC curve (AUC) was used to evaluate the accuracy of the prediction model. Between April and July 2023,172 patients with acute stroke were selected,as the validation group,for external validation of the model. Results The incidence of PSD was found at 27.50％ in the training group and 26.74％ in the validation group. A Nomogram prediction model was constructed with the five predictors:cerebrovascular interventional surgery,hypersensitive C-reactive protein,smoking,National Institutes of Health Stroke Scale (NIHSS) score and age. The calibration curve was found close to the ideal curve with an AUC at 0.797 for the training group,and the risk prediction corresponding to the maximum Youden index was 0.554 with a predicted threshold of 134.63. The calibration curve of the validation group was also found close to the ideal curve,with an AUC of 0.844. Conclusion The nomogram prediction model for PSD in patients with acute stroke demonstrates a good risk prediction value for risk assessment,which can help medical staff to effectively predict the risk for PSD in patients with acute stroke and to take corresponding measures in prevention of PSD.

Objective To identify the differences inneuropsychological characteristics between amnestic(AMCI)and vascular mild cognitive impairment(VMCI).Methods Totally 297 old community residents with mild cognitive impairment(MCI)were divided into amnestic MCI(AMCI)and vascular MCI(VMCI)subgroup from Guangzhou MCI prevalence survey.The elderly with MCI were interviewed and tested with the Chinese version of Montreal Cognitive Assessment(MoCA),the Mini-Mental state examination(MMSE),Auditory Verbal Learning Test(AVLT),the Clinical Dementia Rating scale(CDR),Functional Activity Questionnaire(FAQ),the Modified Hachinski Ischemic Scale(M-HIS),Center for Epidemiologic Studies(CES-DC)to evaluate neuropsychological characteristics.Results AMCI versus VMCI group showed that the total scores of MoCA were(9.63±5.17 vs.9.98±6.02),total scores of MMSE were(16.90±4.84 vs.16.90±6.19),AVLT immediate memory was(2.35±1.39 vs.2.91±1.84),AVLT delayed recall was(2.23±2.09 vs.2.47±2.20),AVLT delayed recognition was(7.33±3.98 vs.6.85±4.02)and total scores of CDR(0.5 vs.0.5),with no differences between the 2 groups(all P>0.05).Based on MoCA survey,AMCI versus VMCI group showed statistically significant differences(all P<0.05)in parameters of visual space and execution(0.71±1.02 vs.0.92±1.26),language function(0.34±0.56 vs.0.50±0.80)and abstract thinking(0.25±0.49 vs.0.15±0.43),but based on MMSE survey,no difference was found in the various cognitive domains between the two groups.The AMCI versus VMCI group showed statistically significant differences(all P<0.05)in parameters of CES-DC scale(1.75±4.27 vs.2.76±6.72),FAQ scale(4.42±4.66 vs.8.71±7.03),M-HIS scale(0.40±0.64 vs.7.59±3.53).Conclusions There is no significant difference in general cognitive impairment between AMCI and VMCI,but the visual space and execution,language function are more impaired in AMCI than VMCI,and the abstract thinking,social function are more impaired with more depressive symptoms in VMCI than in AMCI.