Role of vitamin B12 and folic acid in treatment of Alzheimer's disease: a meta-analysis of randomized control trials.

Vitamin B12 and folic acid could reduce blood homocysteine levels, which was thought to slow down the progression of Alzheimer's disease (AD), but previous studies regarding the effect of vitamin B12 and folic acid in treatment of AD have not reached conclusive results. We searched PubMed and Embase until January 12, 2023. Only randomized control trials involving participants clearly diagnosed with AD and who received vitamin B12 and folic acid were enrolled. Five studies that met the criteria were selected for inclusion in the meta-analysis. Changes in cognitive function were measured based on either the Mini-Mental State Examination (MMSE) or the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog). Changes in daily life function and the level of blood homocysteine were also investigated. After a 6-month treatment, administration of vitamin B12 and folic acid improved the MMSE scores more than placebo did (SMD = 0.21, 95% CI = 0.01 to 0.32, p = 0.04) but did not significantly affect ADAS-Cog scores (SMD = 0.06, 95% CI = -0.22 to 0.33, p = 0.68) or measures of daily life function. Blood homocysteine levels were significantly decreased after vitamin B12 and folic acid treatment. Participants with AD who received 6 months of vitamin B12 and folic acid supplementation had better MMSE scores but had no difference in ADAS-Cog scores. Daily life function did not improve after treatment.

Plasma extracellular vesicle synaptic proteins as biomarkers of clinical progression in patients with Parkinson's disease.

Synaptic dysfunction plays a key role in Parkinson's disease (PD), and plasma extracellular vesicle (EV) synaptic proteins are emerging as biomarkers for neurodegenerative diseases. Assessment of plasma EV synaptic proteins for their efficacy as biomarkers in PD and their relationship with disease progression was conducted. In total, 144 participants were enrolled, including 101 people with PD (PwP) and 43 healthy controls (HCs). The changes in plasma EV synaptic protein levels between baseline and 1-year follow-up did not differ significantly in both PwP and HCs. In PwP, the changes in plasma EV synaptic protein levels were significantly associated with the changes in Unified Parkinson's Disease Rating Scale (UPDRS)-II and III scores. Moreover, PwP with elevated levels (first quartile) of any one plasma EV synaptic proteins (synaptosome-associated protein 25, growth-associated protein 43 or synaptotagmin-1) had significantly greater disease progression in UPDRS-II score and the postural instability and gait disturbance subscore in UPDRS-III than did the other PwP after adjustment for age, sex, and disease duration. The promising potential of plasma EV synaptic proteins as clinical biomarkers of disease progression in PD was suggested. However, a longer follow-up period is warranted to confirm their role as prognostic biomarkers.

Brain Age Is Associated with Cognitive Outcomes of Cholinesterase Inhibitor Treatment in Patients with Mild Cognitive Impairment.

Background: The effect of cholinesterase inhibitor (ChEI) on mild cognitive impairment (MCI) is controversial. Brain age has been shown to predict Alzheimer's disease conversion from MCI. Objective: The study aimed to show that brain age is related to cognitive outcomes of ChEI treatment in MCI. Methods: Brain MRI, the Clinical Dementia Rating (CDR) and Mini-Mental State Exam (MMSE) scores were retrospectively retrieved from a ChEI treatment database. Patients who presented baseline CDR of 0.5 and received ChEI treatment for at least 2 years were selected. Patients with stationary or improved cognition as verified by the CDR and MMSE were categorized to the ChEI-responsive group, and those with worsened cognition were assigned to the ChEI-unresponsive group. A gray matter brain age model was built with a machine learning algorithm by training T1-weighted MRI data of 362 healthy participants. The model was applied to each patient to compute predicted age difference (PAD), i.e. the difference between brain age and chronological age. The PADs were compared between the two groups. Results: 58 patients were found to fit the ChEI-responsive criteria in the patient data, and 58 matched patients that fit the ChEI-unresponsive criteria were compared. ChEI-unresponsive patients showed significantly larger PAD than ChEI-responsive patients (8.44±8.78 years versus 3.87±9.02 years, p = 0.0067). Conclusions: Gray matter brain age is associated with cognitive outcomes after 2 years of ChEI treatment in patients with the CDR of 0.5. It might facilitate the clinical trials of novel therapeutics for MCI.

Comparing Low- or Standard-Dose Alteplase in Endovascular Thrombectomy: Insights From a Nationwide Registry.

BACKGROUND: Timely intravenous thrombolysis and endovascular thrombectomy are the standard reperfusion treatments for large vessel occlusion stroke. Currently, it is unknown whether a low-dose thrombolytic agent (0.6 mg/kg alteplase) can offer similar efficacy to the standard dose (0.9 mg/kg alteplase). METHODS: We enrolled consecutive patients in the multicenter Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke who had received combined thrombolysis (within 4.5 hours of onset) and thrombectomy treatment from January 2019 to April 2023. The choice of low- or standard-dose alteplase was based on the physician's discretion. The outcomes included successful reperfusion (modified Thrombolysis in Cerebral Infarction score, 2b-3), symptomatic intracerebral hemorrhage, 90-day modified Rankin Scale score, and 90-day mortality. The outcomes between the 2 groups were compared using multivariable logistic regression and inverse probability of treatment weighting-adjusted analysis. RESULTS: Among the 2242 patients in the Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke, 734 (33%) received intravenous alteplase. Patients in the low-dose group (n=360) were older, had more women, more atrial fibrillation, and longer onset-to-needle time compared with the standard-dose group (n=374). In comparison to low-dose alteplase, standard-dose alteplase was associated with a lower rate of successful reperfusion (81% versus 87%; adjusted odds ratio, 0.63 [95% CI, 0.40-0.98]), a numerically higher incidence of symptomatic intracerebral hemorrhage (6.7% versus 3.9%; adjusted odds ratio, 1.81 [95% CI, 0.88-3.69]), but better 90-day modified Rankin Scale score (functional independence [modified Rankin Scale score, 0-2], 47% versus 31%; adjusted odds ratio, 1.91 [95% CI, 1.28-2.86]), and a numerically lower mortality rate (9% versus 15%; adjusted odds ratio, 0.73 [95% CI, 0.43-1.25]) after adjusting for covariates. Similar results were observed in the inverse probability of treatment weighting-adjusted models. The results were consistent across predefined subgroups and age strata. CONCLUSIONS: Despite the lower rate of successful reperfusion and higher risk of symptomatic intracerebral hemorrhage with standard-dose alteplase, standard-dose alteplase was associated with a better functional outcome in patients receiving combined thrombolysis and thrombectomy.

Deterioration of fine motor skills and functional disability in patients with moderate-to-advanced Parkinson disease: A longitudinal follow-up study.

INTRODUCTION: Parkinson disease (PD) caused substantially disability. The impairment of fine motor skills (FMSs) is correlated with the severity of functional disability (FD) cross-sectionally in people with PD (PwP). The present study investigated the decline in FMSs and the predictive value of baseline FMSs for the progression of FD. METHODS: People with moderate-to-advanced PD who received two evaluations within 1-5 years were identified from the Taiwan Data Bank of Persons with Disability database. The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) was used to evaluate FD, and FMSs including pen-holding, buttoning, and knotting were assessed. RESULTS: Our study included 2,271 people with moderate-to-advanced PD. We observed annual progression of FD in each domain of the WHODAS 2.0, with no difference between the sexes. The most significant correlation between FD and FMSs was that of decline in buttoning ability and deterioration of summary WHODAS 2.0 scores. Deterioration in FD across all domains of WHODAS 2.0 was associated with at least one FMS. The extent of disability in all three types of FMS at baseline was also correlated with deterioration of motility. Additionally, baseline disability in buttoning was significantly correlated with cognitive decline, and disability in knotting was significantly associated with the progression of FD. CONCLUSION: FMSs may be reliable markers for further FD, particularly in the areas of cognition, motility, and life activity. Because of the significant FD observed in people with moderate-to-advanced PD, the availability of predictors is essential for applying precautionary measures and providing appropriate treatment.

Beyond diagnosis: Leveraging routine blood and urine biomarkers to predict severity and functional outcome in acute ischemic stroke.

Background: The initial severity of acute ischemic stroke (AIS) is a crucial predictor of the disease outcome. In this study, blood and urine biomarkers from patients with AIS were measured to estimate stroke severity and predict long-term stroke outcomes. Methods: The medical records of patients with AIS between October 2016 and May 2020 were retrospectively analyzed. The relationships of blood and urine biomarkers with stroke severity at admission were evaluated in patients with AIS. Predictive models for initial stroke severity and long-term prognosis were then developed using a panel of identified biomarkers. Results: A total of 2229 patients were enrolled. Univariate analysis revealed 12 biomarkers associated with the National Institutes of Health Stroke Scale scores at admission. The area under the curve values for predicting initial stroke severity and long-term prognosis on the basis of these biomarkers were 0.7465, 0.7470, and 0.8061, respectively. Among multiple tested machine-learning, eXtreme gradient boosting exhibited the highest effectiveness in predicting 90-day modified Rankin Scale scores. SHapley Additive exPlanations revealed fasting glucose, albumin, hemoglobin, prothrombin time, and urine-specific gravity to be the top five most crucial biomarkers. Conclusion: These findings demonstrate that clinically available blood and urine biomarkers can effectively estimate initial stroke severity and predict long-term prognosis in patients with AIS. Our results provide a scientific basis for developing tailored clinical treatment and management strategies for AIS, through incorporating liquid biomarkers into stroke risk assessment and patient care protocols for patients with AIS.

Effects of music therapy on cognition, quality of life, and neuropsychiatric symptoms of patients with dementia: A systematic review and meta-analysis of randomized controlled trials.

Dementia is a major cause of disability and dependency. Pharmacological interventions are commonly provided to patients with dementia to delay the deterioration of cognitive functions but cannot alter the course of disease. Nonpharmacological interventions are now attracting increasing scholarly interest. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, we aim to assess the effectiveness of music-based therapies on the cognition, quality of life (QoL), and neuropsychiatric symptoms of patients with dementia through a systematic review and meta-analysis of randomized controlled trials (RCTs). The PubMed, Embase, and Cochrane databases were searched for reports of RCTs examining the effectiveness of music-based therapies for dementia published as of April 2023. A total of 674 articles were screened, and 22 trials from 21 studies (1780 patients) met the eligibility criteria. In 15 trials, music-based therapies significantly improved the cognition of patients with dementia compared with non-music therapies. In 11 trials, music-based therapies also significantly improved the QoL of patients with dementia compared with non-music therapies. In six trials, music-based therapies significantly improved patients' neuropsychiatric symptoms compared with non-music therapies. In conclusion, music-based therapy is recognized as a safe and effective alternative approach for patients with dementia.

Outcomes of Endovascular Treatment versus Standard Medical Treatment for Acute Ischemic Stroke with Basilar Artery Occlusion: A Systematic Review and Meta-Analysis.

BACKGROUND: Although endovascular treatment (EVT) is beneficial for large vessel occlusion in anterior circulation stroke, whether these benefits exist for basilar artery occlusion (BAO) remains unclear. This systematic review and meta-analysis compared the outcomes of patients with BAO undergoing EVT and standard medical treatment (SMT). METHODS: The PubMed, Embase, and Cochrane Library databases were searched for eligible randomized control trials (RCTs) and non-RCTs involving patients with acute ischemic stroke and BAO undergoing EVT or SMT. The following outcomes were assessed: 90-day functional outcomes (favorable outcome and functional independence: modified Rankin scale [mRS] score of 0-3 or 0-2, respectively), mortality, and symptomatic intracranial hemorrhage (sICH) incidence. The summary effect sizes were determined as risk ratios (RRs) through the Mantel-Haenszel method with a random-effects model. RESULTS: Four RCTs and four non-RCTs were included. Compared with SMT, EVT resulted in a higher proportion of patients with 90-day mRS scores of 0-3 (RR: 1.54 [1.16-2.06] in RCTs and 1.88 [1.11-3.19] in non-RCTs), a higher proportion of patients achieving functional independence (90-day mRS score of 0-2; RR: 1.83 [1.07-3.12] and 1.84 [0.97-3.48], respectively), a lower risk of mortality (RR: 0.76 [0.65-0.89] and 0.72 [0.62-0.83], respectively), and a higher sICH risk (RR: 5.98 [2.11-16.97] and 4.95 [2.40-10.23], respectively). Severe neurological deficits, intravenous thrombolysis, and higher posterior circulation Acute Stroke Prognosis Early Computed Tomography Score (pc-ASPECTS) were associated with EVT benefits. CONCLUSION: In patients with BAO, EVT results in superior functional outcomes, lower mortality risk, and higher sICH risk than does SMT, independent of age and sex. Higher National Institutes of Health Stroke Scale scores, intravenous thrombolysis, and higher pc-ASPECTSs before treatment are associated with greater benefits from EVT.

Intra-Arterial Thrombectomy for Acute Ischemic Stroke Related to the Procoagulant Effect of Warfarin in A Patient with Atrial Fibrillation and Bioprosthetic Valve Replacement.

PURPOSE: Warfarin is associated with paradoxical procoagulant effect that leads to a transient hypercoagulable state and acute ischemic stroke (AIS). This clinical dilemma is further confounded when the patient has multiple comorbidities and the optimal treatment strategies are unclear. CASE REPORT: We report a 78-year-old male with valvular heart disease, congestive heart failure, and atrial fibrillation, who received bioprosthetic valve replacement and developed AIS related to the paradoxical procoagulant effect of warfarin. Emergent cerebral angiography with mechanical thrombectomy was performed, and recanalization was successfully achieved. After shifting warfarin to nonvitamin K oral anticoagulant (NOAC), the paradoxical procoagulant effect ameliorated. CONCLUSION: This report describes the roles of endovascular therapy and NOAC in patients with similar highly complex conditions and has clinical relevance for therapeutic plans in the clinical setting.

Triple therapy for Helicobacter pylori eradication and the risk of hypoglycemia in patients with diabetes: a population-based cohort study.

The incidence of type 2 diabetes mellitus has risen globally, from 108 million cases in 1980 to 422 million cases in 2014. Although controlling glycemic levels in patients with diabetes is crucial, insulin and sulfonylureas can cause hypoglycemic episodes and even potentially fatal events such as comas, seizures, life-threatening arrhythmias, and myocardial infarctions. Several antibiotics have been documented to cause hypoglycemic episodes; the use of antibiotics along with insulin or sulfonylureas might further increase the risk of hypoglycemia. Therefore, researchers must determine which antibiotics carry a risk of inducing severe hypoglycemic events. The prevalence of H. pylori infection remains high in most countries, and the infection is often treated with triple therapy involving amoxicillin, clarithromycin, and a proton pump inhibitor (PPI). Several case reports have reported that hypoglycemia can occur when used with patients who also take diabetes medication. Therefore, we hypothesized that patients with diabetes have an increased risk of hypoglycemic episodes when being treated with triple therapy for H. pylori infection. By analyzing medical records from Taiwan's National Health Insurance Research Database, we found a significant association between hypoglycemia and triple therapy treatment for diabetic patients with peptic ulcer disease. Prescribing triple therapy to patients with diabetes and peptic ulcers significantly increased the risk of a hypoglycemic episode (adjusted odds ratio [aOR] = 1.75, 95% confidence interval [CI]: 1.64 to 1.88, P < 0.001). Similarly, the highest aOR (5.77, 95% CI 4.82 to 6.92) was found in patients with diabetes and peptic ulcers who had hypoglycemic episodes within 30 days after triple therapy treatment. Many patients with diabetes require H.pylori eradication for peptic ulcer treatment, and vigilance toward the risk of hypoglycemia in this population is thus necessary.

Therapeutic Effect of Human Adipocyte-derived Stem Cell-derived Exosomes on a Transgenic Mouse Model of Parkinson's Disease.

BACKGROUND/AIM: Stem cell therapy and regenerative medicine are promising for treating Parkinson's disease (PD) not only for the potential for cell replacement but also for the paracrine effect of stem cell secretion, especially proteins and nucleotide-enriched exosomes. This study investigated the neuroprotective effect of exosomes secreted from human adipocyte-derived stem cells (hADSCs) on PD. MATERIALS AND METHODS: hADSCs were isolated from the visceral fat tissue of individuals without PD who underwent bariatric surgery and were validated using surface markers and differentiation ability. Exosomes were isolated from the culture medium of hADSCs through serial ultracentrifugation and validated. Condensed exosomes were administered intravenously to 12-week-old MitoPark mice, transgenic parkinsonism mouse model with conditional knockout of mitochondrial transcription factor A in dopaminergic neurons, monthly for 3 months. Motor function, gait, and memory were assessed monthly, and immunohistochemical analysis of neuronal and inflammatory markers was performed at the end of the experiments. RESULTS: The hADSC-derived exosome-treated mice exhibited better motor function in beam walking and gait analyses than did the untreated mice. In the novel object recognition tests, the exosome-treated mice retained better memory function. Immunohistochemical analysis revealed that although exosome treatment did not prevent the loss of dopaminergic neurons in the substantia nigra of mice, it down-regulated microglial activation and neuroinflammation in the midbrain. CONCLUSION: hADSC-derived exosomes were neuroprotective in this in vivo mouse model of PD, likely because of their anti-inflammatory effect. Use of hADSC-derived exosomes may offer several beneficial effects in stem cell therapy. Since they can also be produced at an industrial level, they are a promising treatment option for PD and other neurodegenerative diseases.

Immediate CT change after thrombectomy predicting symptomatic hemorrhagic transformation.

BACKGROUND: The prognostic value of contrast accumulation from noncontrast brain computed tomography (CT) conducted immediately after intra mechanical thrombectomy (MT) in patients with acute ischemic stroke to predict symptomatic hemorrhage was studied. METHODS: Patients with acute ischemic stroke treated using MT between February 2015 and April 2019 were included. Contrast accumulation was defined as a high attenuation area observed on noncontrast brain CT conducted immediately after thrombectomy treatment, and the patients were categorized into (1) symptomatic hemorrhage, (2) asymptomatic hemorrhage, and (3) no hemorrhage according to the presence of hemorrhagic transformation and their clinical conditions. The pattern and extent of contrast accumulation were compared between patients with and without symptomatic hemorrhage. The maximal Hounsfield unit (HU) of cortical involvement in contrast accumulation was evaluated by calculating the sensitivity, specificity, odds ratio, and area under the receiver operating characteristic (ROC) curve. RESULTS: In total, 101 patients with anterior circulation acute ischemic stroke were treated by endovascular intervention. Nine patients developed symptomatic hemorrhage and 17 developed asymptomatic hemorrhage. Contrast accumulation was associated with all types of hemorrhagic transformation ( p < 0.01), and cortical involvement pattern was more frequently associated with symptomatic hemorrhage ( p < 0.01). The area under the ROC curve was 0.887. The sensitivity and specificity for HU > 100 in cortical involvement predicting symptomatic hemorrhage after endovascular treatment were 77.8% and 95.7%, respectively, with an odds ratio of 77.0 (95% CI, 11.94-496.50; p < 0.01). CONCLUSION: Cortical involvement of contrast accumulation with a maximal HU > 100 predicts symptomatic hemorrhage after endovascular reperfusion treatment.

Magnetic Resonance-Guided focused ultrasound surgery for Parkinson's disease: A mini-review and comparison between deep brain stimulation.

Magnetic resonance-guided focused ultrasound (MRgFUS) is a new surgical treatment for Parkinson's disease (PD). Previous experience with radiofrequency lesionectomy and deep brain stimulation (DBS) has identified several candidate targets for MRgFUS intended to alleviate the motor symptoms of PD. The main advantage of MRgFUS is that it is incisionless. MRgFUS has certain limitations and is associated with adverse effects. The present study reviews the literature on conventional surgical interventions for PD, discusses recent studies on MRgFUS, and the comparison between DBS and MRgFUS for PD. The reviews aims to provide an essential reference for neurologists to select the appropriate treatments for patients with PD.

Metformin adherence and the risk of cardiovascular disease: a population-based cohort study.

Background: Metformin is a potent antiglycemic agent, but its importance has receded owing to the launch of novel antidiabetic medications. The benefit of metformin includes not only blood sugar control but also anti-inflammation, autophagy activation, and neuroprotection. This study investigated the risk of cardiovascular disease (CVD) in people with type II diabetes mellitus (T2DM) who adhered to metformin after adding on a second-line antiglycemic agent. Objectives: The purpose of this study was to investigate the benefits of metformin in CVD prevention in patients with T2DM. Design: We designed the study by comparing the incident rate of CVD events in patients with T2DM who received metformin continually and who ceased metformin during 2002-2014. Methods: Medical information was obtained from the National Health Insurance Research Database, and patients with T2DM receiving second-line antiglycemic agents were categorized into metformin-adherent and nonadherent groups according to prescription claims. The study outcomes were the incidence of CVD hospitalization, including stroke (ischemic and hemorrhagic) and myocardial infarction (MI). Results: A total of 31,384 patients with T2DM constituted the metformin-adherent group and were 1:1 matched to nonadherent patients. Metformin adherence was associated with a lower risk of hospitalization due to stroke [adjusted hazard ratio (aHR) = 0.51, 95% confidence interval (CI): 0.43-0.59, p < 0.001] and MI (aHR = 0.47, 95% CI: 0.43-0.53, p < 0.001). The risk reduction persisted in both ischemic and hemorrhagic strokes. Our subgroup analysis revealed that the protective effect on stroke and MI hospitalization persisted in metformin-adherent patients, both sexes, patients aged ⩽65 or >65 years, and patients with or without concurrent insulin treatment. Conclusions: This study revealed that metformin adherence in patients with T2DM who required a first-line treatment may reduce the risk of subsequent CVD. Despite the availability of numerous novel antiglycemic agents, metformin adherence by patients who require a combination of antiglycemic agents provides an additional benefit of CVD protection.

Cytokine profiles of plasma extracellular vesicles as progression biomarkers in Parkinson's disease.

BACKGROUND: Inflammation contributes substantially to the pathogenesis of Parkinson's disease (PD). Plasma extracellular vesicle (EV)-derived cytokines are emerging biomarkers of inflammation. We conducted a longitudinal study of the plasma EV-derived cytokine profiles of people with PD (PwP). METHODS: A total of 101 people with mild to moderate PD and 45 healthy controls (HCs) were recruited, and they completed motor assessments (Unified Parkinson Disease Rating Scale [UPDRS]) and cognitive tests at baseline and 1-year follow-up. We isolated the participants' plasma EVs and analyzed their levels of cytokines, including interleukin (IL)-1ß, IL-6, IL-10, tumor necrosis factor (TNF)-α, and transforming growth factor (TGF)-ß. RESULTS: We noted no significant changes in the plasma EV-derived cytokine profiles of the PwPs and HCs between baseline and the 1-year follow-up. Among the PwP, changes in plasma EV-derived IL-1ß, TNF-α and IL-6 levels were significantly associated with changes in the severity of postural instability and gait disturbance (PIGD) and cognition. Baseline plasma EV-derived IL-1ß, TNF-α, IL-6, and IL-10 levels were significantly associated with the severity of PIGD and cognitive symptoms at follow-up, and PwP with elevated IL-1ß and IL-6 levels exhibited significant progression of PIGD over the study period. CONCLUSION: These results suggested the role of inflammation in PD progression. In addition, baseline levels of plasma EV-derived proinflammatory cytokines can be used to predict the progression of PIGD, the most severe motor symptom of PD. Additional studies with longer follow-up periods are necessary, and plasma EV-derived cytokines may serve as effective biomarkers of PD progression.

Risk factor identification and prediction models for prolonged length of stay in hospital after acute ischemic stroke using artificial neural networks.

Background: Accurate estimation of prolonged length of hospital stay after acute ischemic stroke provides crucial information on medical expenditure and subsequent disposition. This study used artificial neural networks to identify risk factors and build prediction models for a prolonged length of stay based on parameters at the time of hospitalization. Methods: We retrieved the medical records of patients who received acute ischemic stroke diagnoses and were treated at a stroke center between January 2016 and June 2020, and a retrospective analysis of these data was performed. Prolonged length of stay was defined as a hospital stay longer than the median number of days. We applied artificial neural networks to derive prediction models using parameters associated with the length of stay that was collected at admission, and a sensitivity analysis was performed to assess the effect of each predictor. We applied 5-fold cross-validation and used the validation set to evaluate the classification performance of the artificial neural network models. Results: Overall, 2,240 patients were enrolled in this study. The median length of hospital stay was 9 days. A total of 1,101 patients (49.2%) had a prolonged hospital stay. A prolonged length of stay is associated with worse neurological outcomes at discharge. Univariate analysis identified 14 baseline parameters associated with prolonged length of stay, and with these parameters as input, the artificial neural network model achieved training and validation areas under the curve of 0.808 and 0.788, respectively. The mean accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of prediction models were 74.5, 74.9, 74.2, 75.2, and 73.9%, respectively. The key factors associated with prolonged length of stay were National Institutes of Health Stroke Scale scores at admission, atrial fibrillation, receiving thrombolytic therapy, history of hypertension, diabetes, and previous stroke. Conclusion: The artificial neural network model achieved adequate discriminative power for predicting prolonged length of stay after acute ischemic stroke and identified crucial factors associated with a prolonged hospital stay. The proposed model can assist in clinically assessing the risk of prolonged hospitalization, informing decision-making, and developing individualized medical care plans for patients with acute ischemic stroke.

Correction: Hong et al. The Effect of Caffeine on the Risk and Progression of Parkinson's Disease: A Meta-Analysis. Nutrients 2020, 12, 1860.

In the original publication [...].

Plasma extracellular vesicle tau, ß-amyloid, and α-synuclein and the progression of Parkinson's disease: a follow-up study.

Background: Plasma extracellular vesicle (EV) contents are promising biomarkers of Parkinson's disease (PD). The pathognomonic proteins of PD, including α-synuclein, tau, and ß-amyloid, are altered in people with PD (PwP) and are associated with clinical presentation in previous cross-sectional studies. However, the dynamic changes in these plasma EV proteins in PwP and their correlation with clinical progression remain unclear. Objective: We investigated the dynamic changes in plasma EV α-synuclein, tau, and ß-amyloid and their correlation with/prediction of clinical progression in PwP. Design: A cohort study. Methods: In total, 103 PwP and 37 healthy controls (HCs) completed baseline assessment and 1-year follow-up. Clinical assessments included Unified Parkinson's Disease Rating Scale (UPDRS) parts II and III, Mini-Mental State Examination (MMSE), and Montreal Cognitive Assessment (MoCA). Plasma EVs were isolated, and immunomagnetic reduction-based immunoassay was used to assess α-synuclein, tau, and ß-amyloid 1-42 (Aß1-42) levels within the EVs. Results: Compared with HCs, significant differences were noted in the annual changes in all three EV pathognomonic proteins in PwP. Although the absolute changes in plasma EV pathognomonic proteins did not significantly correlate with clinical changes, PwP with elevated baseline plasma EV tau (upper-half) levels demonstrated significantly greater decline in motor and cognition, and increased plasma EV α-synuclein levels were associated with postural instability and the gait disturbance motor subtype. For PwP with elevated levels of all three biomarkers, clinical deterioration was significant, as indicated by UPDRS-II scores, postural instability and gait disturbance subscores of UPDRS-III, and MMSE score. Conclusion: The combination of plasma EV α-synuclein, tau, and Aß1-42 may identify PwP with a high risk of deterioration. Our findings can elucidate the interaction between these pathognomonic proteins, and they may serve as treatment response markers and can be applied in treatment approaches for disease modification.

Metformin Adherence Reduces the Risk of Dementia in Patients With Diabetes: A Population-based Cohort Study.

OBJECTIVE: Metformin is widely used as the first-line drug for type 2 diabetes mellitus and has numerous benefits apart from lowering blood glucose. However, metformin-retained regimen is challenged by newly launching, powerful glucose-lowering antiglycemic agents. This population-based cohort study examined the association between metformin adherence and the risk of dementia and Parkinson's disease (PD). METHODS: Diabetic patients with metformin-included combination antiglycemic therapy were identified from the National Health Insurance Research Database and categorized into metformin-adherent and -nonadherent groups according to the medical record of the first year prescription. Patients contraindicated with metformin, severe diabetic complications, and poor drug compliance were excluded. The study outcome was the diagnosis of dementia or PD. RESULTS: A total of 31 384 matched pairs were included after using propensity score matching and both groups were followed up for an average of 5 years. Metformin adherence was associated with a significantly lower risk of dementia (adjusted hazard risk ratio = 0.72, P < .001) but not PD (adjusted hazard risk ratio = 0.97, P = .825). Subgroup analysis revealed that the risk of dementia was significantly reduced in metformin-adherent patients, both male and female, aged >65 or ≤ 65 years, and with or without concurrent insulin treatment. This effect was not influenced by concurrent insulin treatment, which may eliminate the bias caused by the severity of diabetes mellitus. CONCLUSION: Despite the launching of numerous new oral antiglycemic agents, metformin may provide further benefit on lowering risk of dementia beyond conventional glycemic control according to the real-world evidence.

Application of machine learning-based models to boost the predictive power of the SPAN index.

BACKGROUND: This study re-explored the predictive validity of Stroke Prognostication using Age and National Institutes of Health Stroke Scale (SPAN) index in patients who received different treatments for acute ischemic stroke (AIS) and developed machine learning-boosted outcome prediction models. METHODS: We evaluated the prognostic relevance of SPAN index in patients with AIS who received intravenous tissue-type plasminogen activator (IV-tPA), intra-arterial thrombolysis (IAT) or non-thrombolytic treatments (non-tPA), and applied machine learning algorithms to develop SPAN-based outcome prediction models in a cohort of 2145 hospitalized AIS patients. The performance of the models was assessed and compared using the area under the receiver operating characteristic curves (AUCs). RESULTS: SPAN index ≥100 was associated with higher mortality rate and higher modified Rankin Scale at discharge in AIS patients who received the different treatments. Compared to the lower AUCs for the SPAN-alone model across all groups, the AUCs of the logistic regression-boosted model were 0.838, 0.857, 0.766 and 0.875 for the whole cohort, non-tPA, IV-tPA and IAT groups, respectively. Similarly, the AUCs of the generated artificial neural network were 0.846, 0.858, 0.785 and 0.859 for the whole cohort, non-tPA, IV-tPA and IAT groups, respectively, while for gradient boosting decision tree model, we computed 0.850, 0.863, 0.779 and 0.815. CONCLUSIONS: SPAN index has prognostic relevance in patients with AIS who received different treatments. The generated machine learning-based models exhibit good performance for predicting the functional recovery of AIS; thus, their proposed clinical application to aid outcome prediction and decision-making for the patients with AIS.