Notes

Hair growth forecasts a new depression-like phenotype in test subjects as a reflect involving stress traceability.
Multiple sclerosis (MS) is an immune-mediated disease that affects the central nervous system. The impact of MS transcends physical functions and extends to psychological impairment. Approximately 50% of people with MS develop depressive symptoms during their lifetime and depressive symptoms may predict impairment of physical functions. However, prediction of depressive symptoms based on objective measures of physical functions is still necessary.

To compare physical functions between people with MS presenting depressive symptoms or not and to identify predictors of depressive symptoms using objective measures of physical functions.

Cross-sectional study including 26 people with MS. Anxiety and/or depressive symptoms were assessed by the Beck Depression Inventory-II (BDI-II) and by the Hospital Anxiety and Depression Scale (HADS). Outcomes of physical functions included the Nnnine-hole Ppeg Ttest (NHPT), knee muscle strength, balance control, the Timed Up and Go Test (TUG), and the 6-minute walk test (6MWT). Perceived exertion was measured using the Borg scale.

The frequency of depressive symptoms was 42% in people with MS. Balance control during a more challenging task was impaired in people with MS who presented depressive symptoms. Balance could explain 21-24% of the variance in depressive symptoms. 6MWT and TUG presented a trend of significance explaining 16% of the variance in the BDI-II score.

Impairment in physical functions consists in a potential predictor of depressive symptoms in people with MS. Exercise interventions aiming at the improvement of physical functions, together with the treatment of depressive symptoms and conventional medical treatment, are suggested.
Impairment in physical functions consists in a potential predictor of depressive symptoms in people with MS. Exercise interventions aiming at the improvement of physical functions, together with the treatment of depressive symptoms and conventional medical treatment, are suggested.
Restless legs syndrome or Willis-Ekbom disease is a disorder characterized by unpleasant sensations associated with the need to mobilize the lower limbs. In Parkinson disease patients, restless legs syndrome is associated with worse quality of life and excessive sleepiness. Regarding other factors, results of different studies are controversial.

To determine the factors associated with the restless legs syndrome presence in Parkinson disease patients.

A cross-sectional study was conducted in 88 consecutive Parkinson disease patients from the outpatient clinic for 21 months. Participants underwent a clinical interview, assessment based on standardized scales (Epworth Sleepiness Scale, Parkinson Disease Questionnaire - 39, Pittsburgh Sleep Quality Index, International Restless Legs Syndrome Study Group rating scale), and video-polysomnography.

Out of the 88 participants, 25 had restless legs syndrome. In the multivariate analysis, restless legs syndrome in Parkinson disease has been associated with the symptom of smell loss and quality of sleep and life. In the univariate analysis, restless legs syndrome in Parkinson disease has occurred more frequently in women with higher frequency of insomnia, constipation, and anosmia than in the group without restless legs syndrome.

Restless legs syndrome is a prevalent condition in patients with Parkinson disease and is associated with specific characteristics in this group of patients.
Restless legs syndrome is a prevalent condition in patients with Parkinson disease and is associated with specific characteristics in this group of patients.
Multimorbidity is common among adults and associated with socioeconomic deprivation, polypharmacy, poor quality of life, functional impairment, and mortality.

To identify the frequency of multimorbidity among older adults inpatients with neurological disorders (NDs), stratify clusters of chronic comorbidities associated with NDs in degrees, and verify whether multimorbidity was associated with demographic data, readmission, long length of hospital stay (LOS), and hospital mortality in this population.

We enrolled patients aged ≥60 years successively admitted to a tertiary medical center with NDs between January 1, 2009, and December 31, 2010.

Overall, 1,154 NDs and 2,679 comorbidities were identified among 798 inpatients aged ≥60 years (mean 75.76±9.12). Women comprised 435 (54.51%) of patients. Multimorbidity was detected in 92.61% (739) of patients, with a mean of 3.88±1.67 (median 4.0), ranging from 2 to 10 chronic diseases. Patients with epilepsy, dementia, and movement disorders had the highest degrees of clusters of chronic morbidities (>50% of them with ≥5 chronic disorders), followed by those with cerebrovascular and neuromuscular disorders. Multimorbidity was associated with long LOS (p<0.001) and readmission (p=0.039), but not with hospital mortality (p=0.999).

Multimorbidity was preponderant among older adults inpatients with NDs, and NDs had a high degree of associated chronic comorbidities. Multimorbidity, but not isolated NDs, was associated with readmission and long LOS. These results support ward-based, neurohospitalist-directed, interdisciplinary care for older adults inpatients with NDs to face multimorbidity.
Multimorbidity was preponderant among older adults inpatients with NDs, and NDs had a high degree of associated chronic comorbidities. Multimorbidity, but not isolated NDs, was associated with readmission and long LOS. this website These results support ward-based, neurohospitalist-directed, interdisciplinary care for older adults inpatients with NDs to face multimorbidity.
Data on prescribing patterns of antiepileptic drugs (AEDs) to older adult inpatients are limited.

To assess changes in prescribing patterns of AEDs to older adult inpatients with late-onset epilepsy between 2009-2010 and 2015-2019, and to interpret any unexpected patterns over the 2015-2019 period.

Patients aged ≥60 years with late-onset epilepsy from a tertiary center were selected. Demographic data, seizure characteristics and etiology, comorbidities, and comedications were analyzed, in addition to prescription regimens of inpatients taking AEDs to treat epilepsy. AED regimens were categorized into two groups group 1 included appropriate AEDs (carbamazepine, oxcarbazepine, valproic acid, gabapentin, clobazam, lamotrigine, levetiracetam, topiramate, and lacosamide); and group 2 comprised suboptimal AEDs (phenytoin and phenobarbital). Multivariate logistic regression analysis was performed to identify risk factors for prescription of suboptimal AEDs.

134 patients were included in the study (mean age 77.
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