Abrahamsenkure9971

4% with PHQ-9. Suicidal ideation was present in 4.5% of PWE. The sensitivity and specificity of scales using MINI as a reference standard were found to be maximal at scores ≥5, ≥8 and >11 for PHQ-9, HAM-D, and NDDI-E, respectively. The ROC analysis revealed a statistically significant difference among NDDI-E and PHQ-9 (p = 0.0268). Polytherapy in PWE had significant association with risk of depression (p < 0.01) and female PWE had 1.5 times the odds of depression as compared with males (95% CI, 1.02-2.2).

All the tools used in this study were found to be appropriate for use in PWE if cut-off points are validated. The choice of tool can be based on the clinical setting.

All the tools used in this study were found to be appropriate for use in PWE if cut-off points are validated. The choice of tool can be based on the clinical setting.

Corpus callosotomy (CC) is an established surgical option for palliative treatment of medically intractable epilepsy, especially for seizures with drop attacks. We postulated that specific risk factors for post-CC transient disturbance of consciousness (pCTDC) are associated with CC. The purpose of this study was to review patients with intractable epilepsy who underwent CC and to statistically analyze risk factors for pCTDC.

Inclusion criteria for patients who underwent CC between January 2009 and November 2019 were (1) ≥2 years old and (2) followed up for more than 8 months. The state of consciousness before and after CC was evaluated with the Glasgow coma scale. We statistically assessed predictors for pCTDC as the primary outcome.

Fifty-six patients (19 females, 37 males) were enrolled, and the age range was 2-57 years old. Thirty-seven (66.1%) patients developed pCTDC. The mean period from the beginning of the state of pCTDC to recovery to their baseline conscious level was 4.9 days (range 2-25 days). All three (100%) normal intelligence level patients, 13 (81%) of 16 patients with a moderately impaired level of intelligence, and 21 (57%) of 37 patients with a severely impaired level of intelligence exhibited pCTDC. Univariate (p = 0.044) and multivariate (p = 0.006) logistic regression analyses for predictors of pCTDC showed that intellectual function was statistically significant.

Two-thirds of patients developed pCTDC. One risk factor for pCTDC may be higher intellectual function.

Two-thirds of patients developed pCTDC. One risk factor for pCTDC may be higher intellectual function.It is often difficult to predict seizure recurrence in subjects who have suffered a first-ever epileptic seizure. In this study, the predictive value of physiological signals measured using Electroencephalography (EEG) and functional MRI (fMRI) is assessed. In particular those patients developing epilepsy (i.e. a second unprovoked seizure) that were initially evaluated as having a low risk of seizure recurrence are of interest. In total, 26 epilepsy patients, of which 8 were initially evaluated as having a low risk of seizure recurrence (i.e. converters), and 17 subjects with only a single seizure were included. All subjects underwent routine EEG as well as fMRI measurements. For diagnostic classification, features related to the temporal dynamics were determined for both the processed EEG and fMRI data. Subsequently, a logistic regression classifier was trained on epilepsy and first-seizure subjects. The trained model was tested using the clinically relevant converters group. The sensitivity, specificity, and AUC (mean ± SD) of the regression model including metrics from both modalities were 74 ± 19%, 82 ± 18%, and 0.75 ± 0.12, respectively. Positive and negative predictive values (mean ± SD) of the regression model with both EEG and fMRI features are 84 ± 14% and 78 ± 12%. Moreover, this EEG/fMRI model showed significant improvements compared to the clinical diagnosis, whereas the models using metrics from either EEG or fMRI do not reach significance (p > 0.05). Temporal metrics computationally derived from EEG and fMRI time signals may clinically aid and synergistically improve the predictive value in a first-seizure sample.

The aim of this paper is to describe the prevalence of Delirium and the factors associated with its presentation and complications identified in a geriatric unit in Colombia.

This is a retrospective observational study that included all patients admitted consecutively for two years in a geriatric unit of a hospital in Bogotá, Colombia. We assessed delirium prevalence with the Confusion Assessment Method (CAM). The independent variables were age, sex, functional impairment (Barthel<90), malnutrition (MNA<12), pressure ulcers at admission, state of the social support network, number of comorbidities, polypharmacy (5 or more drugs), complications such as ICU requirement, hospital stay, in-hospital functional impairment and mortality were also evaluated. click here As an exclusion criterion not having CAM registered in the medical record, all the patients had this information.

We studied 1599 subjects with a mean age of 86 years (IQR 9). Delirium prevalence was 51.03%. Delirium was associated with a higher rate ases and geriatric syndromes such as, functional dependence, pressure ulcers, malnutrition or major cognitive impairment are independently associated with the presence of delirium on admission. Additionally, the presence of delirium is independently associated during hospitalization with complications, longer hospital stay, functional impairment and mortality.

Dementia is one of the most frequent diseases in the elderly, being its prevalence of up to 64% in institutionalized people. In this population, in addition to antidementia drugs, it is common to prescribe drugs with anticholinergic/sedative burden that, due to their adverse effects, could worsen their functionality and cognitive status. The objective is to estimate the prevalence of the use of drugs with anticholinergic/ sedative burden in institutionalized older adults with dementia and to assess the associated factors.

A cross-sectional study developed in older with dementia living in nursing homes. The prevalence of prescription of anticholinergic/sedative drugs was estimated according to the Drug Burden Index (DBI). A comparative analysis of the DBI score was performed between different types of dementia as well as among various factors and according to the anticholinergic/sedative risk, establishing as a cut-off point of DBI≥1 (high anticholinergic/sedative risk).

178 residents were included. 83.7% had some drug with anticholinergic/sedative burden according to DBI.