Edvardsenfanning3708

Beginning on postnatal day 65 offspring from all groups were subjected to a series of behavioral tasks including open field, elevated plus maze, marble burying, social interaction tests, and running wheel. Effects were exposure-, sex- and task-specific, with BFR exposure resulting in the most consistent behavioral deficits. Overall, exposed females showed more deficits compared to males across all dose groups and tasks. These findings help elucidate how different classes of flame retardants, independently and as a mixture, contribute to sex-specific behavioral effects of exposure.Stress confers risk for the development and progression of Alzheimer's disease (AD). Relative to men, women are disproportionately more likely to be diagnosed with this neurodegenerative disease. We hypothesized that sex differences in endocrine stress responsiveness may be a factor in this statistic. selleck To test this hypothesis, we assessed basal and stress-induced corticosterone, social recognition, and coat state deterioration (surrogate for depression-like behavior) in male and female 3xTg-AD mice. Prior to reported amyloid plaque deposition, 3xTg females (4 months), but not 3xTg males, had heightened corticosterone responses to restraint exposure. Subsequently, only 3xTg females (6 months) displayed deficits in social memory concomitant with prominent β-amyloid (Aβ) immunostaining. These data suggest that elevated corticosterone stress responses may precede cognitive impairments in genetically vulnerable females. 3xTg mice of both sexes exhibited coat state deterioration relative to same-sex controls. Corticolimbic glucocorticoid receptor (GR) dysfunction is associated with glucocorticoid hypersecretion and cognitive impairment. Our findings indicate sex- and brain-region specific effects of genotype on hippocampal and amygdala GR protein expression. Because olfactory deficits may impede social recognition, in Experiment 2, we assessed olfaction and found no differences between genotypes. Notably, in this cohort, heightened corticosterone stress responses in 3xTg females was not accompanied by social memory deficits or coat state deterioration. However, coat state deterioration was consistent in 3xTg males. We report consistent heightened stress-induced corticosterone levels and Aβ pathology in female 3xTg-AD mice. However, the behavioral findings illuminate unknown inconsistencies in certain phenotypes in this AD mouse model.Disc hemorrhage is a characteristic finding that is highly associated with glaucoma development or progression. Consequently, the literature commonly designates disc hemorrhage as a "risk factor" for glaucoma progression; however, the exact cause-and-effect relationship or mechanism remains unclear. In this review, we discuss the emerging evidence that disc hemorrhage is a secondary development that follows glaucomatous damage. As our understanding of disc hemorrhage has progressed in recent decades, we suggest the terminology be changed from "risk factor" to "indicator" of ongoing glaucomatous development or progression for a more accurate description, better indication of the clinical implications and, ultimately, a better guide for future research.In this case series (n = 7) on prostatic utricles (PU), retention of urine was seen in 5 of 7, urinary tract infection (4 of 7), recurrent epidydymo-orchitis (3 of 7), and scrotal sinus (1 of 7). Voiding cystourethrogram established diagnosis in 3 of 7 patients while CT/MRI in 4 of 7 patients. Four patients were primarily managed by cystoscopic widening of mouth of PU. Three with large PU underwent initial open (2) or laparoscopic (1) excision but later warranted cystoscopic widening for residual PU. Excision (open/laparoscopic) has risk of damage to adjacent structures (nerves/vas/seminal vesicles) or leaving behind a residual PU. Cystoscopic management (primary/salvage) has less morbidity and relieves recurrent symptoms due to stasis of urine in PU.

To describe the association between unmet rehabilitation needs and life satisfaction 5 years after traumatic brain injury (TBI).

Prospective observational cohort.

Five Veterans Affairs (VA) Polytrauma Rehabilitation Centers.

VA TBI Model Systems participants (N=301); 95% male; 77% white; average age, 39±14y).

Not applicable.

Satisfaction With Life Scale (SWLS).

Average SWLS score was 22±8. Univariable analyses demonstrated several statistically significant predictors of life satisfaction, including employment status, participation, psychiatric symptom severity, past year mental health treatment, and total number of unmet rehabilitation needs (all P<.05). Multivariable analyses revealed that depression and participation were each associated with life satisfaction. An ad hoc mediation model suggested that unmet rehabilitation needs total was indirectly related to life satisfaction. Total unmet rehabilitation needs ranged from 0-21 (mean, 2.0±3.4). Correlational analyses showed that 14 of the 21 unmet rehabilitation needs were associated with life satisfaction.

Findings support the need for rehabilitation engagement in later stages of TBI recovery. Ongoing assessment of and intervention for unmet rehabilitation needs in the chronic phase of recovery have the potential to mitigate decline in life satisfaction.

Findings support the need for rehabilitation engagement in later stages of TBI recovery. Ongoing assessment of and intervention for unmet rehabilitation needs in the chronic phase of recovery have the potential to mitigate decline in life satisfaction.

To use machine learning-based methods in designing a predictive model of rehabilitation outcomes for postacute hip fracture patients.

A retrospective analysis using linear models, AdaBoost, CatBoost, ExtraTrees, K-Nearest Neighbors, RandomForest, Support vector machine, XGBoost, and voting of all models to develop and validate a predictive model.

A university-affiliated 300-bed major postacute geriatric rehabilitation center.

Consecutive hip fracture patients (N=1625) admitted to an postacute rehabilitation department.

The FIM instrument, motor FIM (mFIM), and the relative functional gain on mFIM (mFIM effectiveness) as a continuous and binary variable. Ten predictive models were created base models (linear/logistic regression), and 8 machine learning models (AdaBoost, CatBoost, ExtraTrees, K-Nearest Neighbors, RandomForest, Support vector machine, XGBoost, and a voting ensemble). R

was used to evaluate their performance in predicting a continuous outcome variable, and the area under the receiver operating characteristic curve was used to evaluate the binary outcome.