Objective: The association between gastrointestinal (GI) symptoms and cognitive profile in patients with Parkinson’s disease (PD) at diagnosis remains unclear, although GI symptoms and cognitive impairment are highly prevalent in patients with PD. We investigated the relationship between constipation and cognitive status. We also aimed to identify the correlation between constipation and each neuropsychological dysfunction. Methods: A total of 427 patients with de novo Parkinson’s disease with normal cognition (PD-NC, n = 170) and Parkinson’s disease with mild cognitive impairment (PD-MCI, n = 257) at Korea University Guro Hospital in Seoul, Korea were included. All patients underwent comprehensive neuropsychological tests and completed the Non-Motor Symptoms Scale (NMSS). The frequency and severity of constipation were assessed using the NMSS GI symptoms scale, we used logistic regression analysis and partial correlation analysis to determine the associations between constipation score, MCI, and each neuropsychological dysfunction. Results: Frequent and severe constipation was associated with MCI in patients with PD at diagnosis regardless of disease severity. Specifically, constipation was related to poor performance in frontal-executive and visuospatial functions after controlling for age and sex. Conclusion Our findings may provide an understanding of constipation as a marker associated with cognitive impairment in individuals with PD. Therefore, the evaluation of cognitive function is warranted in PD patients with constipation, while further studies are necessary to investigate the detailed mechanism of our results.

Objective: Hair loss has been reported to occur during dopaminergic therapy in patients with Parkinson’s disease. The mechanism by which dopaminergic therapy induces hair loss is not well understood. Dopamine receptors are present in the hair follicle, where they regulate melanin production. However, the role of dopamine receptors in hair growth is still not well understood. This study aimed to evaluate the prevalence of hair loss and identify factors associated with complaints of hair loss in patients with Parkinson’s disease. Methods: A cross-sectional design involving 495 Parkinson’s disease patients was applied to evaluate hair loss status. Patients completed a questionnaire, and scalp/hair examinations were performed. Patients with underlying conditions that could affect hair loss and those prescribed medications known to increase the risk of hair loss were excluded. Finally, 291 patients (58.8%) were included for analysis. Results: Among the 495 patients, 138 (27.9%) reported hair loss. Interestingly, more than half of the patients who complained of hair loss (79 out of 138) did not utilize treatments such as hair products, massage, dietary modifications, or alopecia medications. Hair inspection by a single investigator revealed objective hair loss in 263 patients (53.1%). An analysis of factors associated with hair loss complaints showed that the intake of dopaminergic medications with a levodopa-equivalent daily dose > 448 mg was associated with complaints of hair loss. Conclusion Dopaminergic medication is associated with hair loss complaints in Parkinson’s disease patients.

Background: and Purpose: Nonketotic hyperglycemia often causes transient visual field defects, but only scattered anecdotes are available in the literature. Methods: We report a patient with homonymous superior quadrantanopsia due to nonketotic hyperglycemia and provide a systematic literature review of the clinical features of 40 previously reported patients (41 in total, including our case) with homonymous visual field defects in association with nonketotic hyperglycemia. Results: The typical visual field defect was congruous (84.6%), homonymous hemianopsia (87.8%) with macular splitting (61.5%) or sparing (38.5%). It was transient and repetitive in 54.5% of the patients, but it developed as a persistent form in the remainder. Positive visual symptoms such as hallucinations and phosphenes developed in 73.2% of patients. Brain MRI revealed corresponding abnormalities in most patients (84.8%), characterized by a low-intensity white-matter signal or a high-intensity gray-matter signal on T2-weighted or fluid-attenuated inversion recovery images with diffusion restriction or gadolinium enhancement. Most (97.0%) patients recovered completely, with 48.5% treated by glycemic control alone and the remainder also receiving antiepileptic agents. Conclusions Nonketotic hyperglycemia should be considered a possible cause of transient visual field defects, especially when it is associated with repetitive positive visual symptoms and typical MRI findings in hyperglycemic patients.

Background: and Purpose Falls are not uncommon even in patients with early stages of Parkinson’s disease (PD). The aims of this study were to determine the relationships between gait parameters and falls and identify crucial gait parameters for predicting future falls in patients with de novo PD. Methods: We prospectively recruited patients with de novo PD, and evaluated their baseline demographics, global cognitive function on the Montreal Cognitive Assessment test, and parkinsonian motor symptoms including their subtypes. Both forward gait (FG) and backward gait (BG) were measured using the GAITRite system. The history of falls in consecutive patients with de novo PD was examined along with 1 year of follow-up data. Results: Among the 76 patients with de novo PD finally included in the study, 16 (21.1%) were classified as fallers. Fallers had slower gait and shorter stride for FG and BG parameters than did non-fallers, while stride-time variability was greater in fallers but only for BG. Multivariable logistic regression analysis revealed that slow gait was an independent risk factor in BG. Conclusions Among the patients with de novo PD, gait speed and stride length were more impaired for both FG and BG in fallers than in non-fallers. It was particularly notable that slow BG was significantly associated with future fall risk, indicating that BG speed is a potential biomarker for predicting future falls in patients with early-stage PD.