Neurodevelopmental profile of infants and toddlers awaiting a kidney transplant.

BACKGROUND: Infants and toddlers with kidney failure are susceptible to neurodevelopmental delays due to medical comorbidities and rapid brain development in early childhood. However, research on the neuropsychological development of this patient population has been limited over the past 10 years. METHODS: We performed a retrospective study to evaluate the neurodevelopmental functioning of infants/toddlers with kidney failure who completed the Bayley Scales of Infant and Toddler Development (3rd and 4th Edition) as part of a pretransplant evaluation between 2010 and 2022 (n = 23; Mage = 18 months, SD = 8.53; 16 males) using t-tests, linear model, and Pearson correlations. RESULTS: Mean Bayley scores of participants were below normative means for cognition (M = 86.74, 95% CI = 80.53-92.94, p < 0.001), language (M = 79.20, 95% CI = 73.32-85.08, p < 0.001), and motor (M = 78.00, 95% CI = 70.15-85.85, p < 0.001) domains. After adjusting for prematurity and epilepsy, patients on dialysis had significantly lower cognitive (78.7 vs. 93.8; p = 0.001) and motor scores (67.1 vs. 85.5; p = 0.01) compared to no dialysis. Pretransplant cognitive scores were positively correlated with posttransplant Full-Scale IQ (r(8) = 0.65 p = 0.04), verbal comprehension (r(8) = 0.75 p = 0.02), and fluid reasoning (r(7) = 0.68 p = 0.045). Similarly, pretransplant language scores were positively correlated with posttransplant Full-Scale IQ (r(7) = 0.74 p = 0.03) and verbal comprehension (r(7) = 0.73 p = 0.03). Of the 16 participants who reached age > 5 years during the study period, seven were diagnosed with a neurodevelopmental disorder, including three with autism spectrum disorder. CONCLUSIONS: Infants and toddlers with kidney failure are at risk of developmental delays and later neurodevelopmental disorders. Dialysis is associated with cognitive and motor delays independent of prematurity and epilepsy.

Performance Comparisons on the Saint Louis University Mental Status Examination Between Black and White Veterans and Education Classification in a Large Outpatient Sample from the Southern United States.

OBJECTIVE: An increasing scientific literature recognizes that traditional cut-off scores for cognitive screeners may not be optimal for use in patients who differ in race/ethnicity from the screeners' normative/reference group. There is also literature on how racial/ethnic contextual factors, such as stereotype threat or perceived discrimination, may influence performance on cognitive testing. The current study examined the characteristics of SLUMS (a cognitive screening measure) performance in a large (n = 602) sample of Black (n = 229) and White (n = 373) veterans in a VA hospital located in the Southern United States. METHOD: SLUMS data were gathered from retrospective electronic chart review between January 2013 and February 2020. Race/ethnicity of veterans was gathered by chart review and race of hospital providers who administered the SLUMS by personal communication. RESULTS: Black veterans were 1.99 times more likely to be classified by total SLUMS score as being within the dementia range compared with White veterans. Differences in item level performance were only found between Black and White veterans with ≥ high school education. Race of clinical provider (i.e., Black or White) administering the SLUMS did not significantly impact veteran performance on the SLUMS. CONCLUSION: This is the first large sample study of differences in SLUMS performance between Black and White veterans. Findings replicate earlier research on Black and White performance differences on individual SLUMS items and provide an analysis of examiner-examinee racial discordance. This study underscores the importance of researching cognitive measures in groups who differ from the original normative/references samples.

QEEG coherence patterns related to mathematics ability in children.

The current study investigates the utility of resting-state EEG coherence values in predicting standardized math scores in children. Quantitative EEG and standardized academic achievement analyses were performed on 60 school-aged children. Analyses assessing intrahemispheric coherence at rest were conducted across the sample of participants and several coherence networks were extracted and compared to standardized math achievement values. Specifically, networks that included Brodmann area 40 (a brain region involved in the cognitive processes responsible for mathematics performance) and whose coherence values were significantly correlated with standardized math scores were examined. Results indicate a total of four coherence networks, two in each hemisphere, that have utility in predicting general math skills in children. In addition to BA 40, these coherence networks include BAs in the right temporal lobe, right frontoparietal lobe, left superior temporal lobe, and the left medial prefrontal cortex. These findings address the current dearth of research on the neurological connectivity patterns that are foundational for mathematics abilities in children. Further, these results lay a foundation for the supplementary use of EEG in the assessment and identification practices surrounding math learning disabilities in children and additionally provide a neurocognitive framework upon which intervention research may be targeted.

Neurocognitive correlates of persisting concussion symptoms in youth.

Many patients that experience a concussion have impairing symptoms that persist beyond typical recovery timeframes. Concussion symptoms often remit within a month, but persisting impairments are difficult to characterize and attribute to concussion given the poorly defined diagnostic criteria of post-concussion syndrome and inadequate understanding of the cognitive symptoms associated with this condition. The current study aims to clarify the cognitive profiles of school-aged concussion patients (n = 21; N = 36; 64% male) that have persisting symptoms to improve the clinical identification methods for this condition. Logistic regression was used to explore the importance of cognitive processing speed and working memory for identifying patients with persisting concussion symptoms (PCS). Additional exploratory analyses were conducted to clarify cognitive domains that may be impacted by having PCS. Findings indicate processing speed and working memory abilities alone are not adequate to identify patients with PCS. Further, measures of processing speed, fluid reasoning, working memory, and long-term retrieval together were found to be necessary to identify those who had a prior concussion with PCS. These findings indicate clinical neuropsychological batteries must include measures of these four cognitive domains when assessing school-aged patients with chronic symptoms that extend beyond three months following injury.

Isolated Abdominal Aortitis Following a Urinary Tract Infection.

A 49-year-old female with a history of sporadic episodes of scleritis was initially seen by her primary care physician (PCP) due to a two-day history of cramping abdominal pain, new elevated high blood pressure, increased urinary frequency, and urgency. The patient was diagnosed with an acute cystitis supported by a positive urine culture for a pan sensitive Escherichia coli; however, after two courses of antibiotics as an outpatient, her blood pressure (BP) remained markedly elevated, and her abdominal pain got worse which prompted a computed tomography (CT) abdomen and pelvis with contrast revealing inflammatory changes consistent with aortitis. The diagnosis was supported by a magnetic resonance angiography (MRA) which showed wall thickening and enhancement extending for approximately 4.8 cm involving the abdominal aortic wall just prior to the bifurcation. An extensive work up including CTA, US doppler of four-limbs, and fluorodeoxyglucose (FDG)-positron emission tomography (PET) confirmed the isolated abdominal aortitis. After infectious etiologies were ruled out, the patient was started on prednisone 60 mg daily which resulted in marked improvement of her symptoms. After a four-month taper of steroids, the patient had complete resolution of her symptoms, with no signs of recurrence.

QEEG correlates of cognitive processing speed in children and adolescents with traumatic brain injuries.

Both quantitative electroencephalography (qEEG) and cognitive measures have been used to understand the underlying brain changes that occur in individuals after experiencing a traumatic brain injury, however, research exploring the relationship between qEEG patterns and cognitive test performance is scarcely studied in school-aged populations. The purpose of the present study was to explore first, the neuropsychological and academic deficits in young individuals with TBI; and second, the underlying relationship between qEEG patterns and cognitive test performance. Analyses included 21 school-aged participants whom have experienced a recent TBI and 15 school-aged participants whom have never experienced a TBI. Mean subtest and composite scores were compared and regression analyses were used to determine whether alpha band and beta band qEEG coherence values predicted processing speed measures. Results suggest that young individuals who experienced a recent TBI exhibit general deficits in cognition and academic skills beyond what would be expected in the general population. Further, beta band coherence with the frontal brain regions significantly predicted processing speed scores, providing evidence of a relationship between qEEG patterns and processing speed. This outlines a relatively inexpensive method for utilizing neural connectivity to verify cognitive deficits for school-aged individuals with a recent TBI.