Publications by authors named "J M Lamotte"

Background: Individuals with Sickle Cell Disease (SCD) are a minoritized and marginalized community that have disparate health outcomes as a result of systemic racism and disease-related stigma. The purpose of this study was to determine the psychosocial risk factors for families caring for children with SCD at a pediatric SCD center through use of the Psychosocial Assessment Tool (PAT), a validated caregiver-report screener.

Methods: The PAT was administered annually during routine clinical visits and scored by the SCD Social Worker to provide tailored resources to families.

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Background: Individuals with sickle cell disease (SCD) experience significant healthcare disparities; however, there is little known on the impact of psychosocial stressors and neighborhood disadvantage on preventive and acute care utilization in this population.

Procedure: A retrospective data collection was performed for all patients cared for at a comprehensive pediatric sickle cell center in the Midwest who had also completed the Psychosocial Assessment Tool (PAT), a validated caregiver-reported measurement of family psychosocial risk, from September 2021 through December 2022. Patient age, payor, primary language, frequency of acute and missed preventive care visits, as well as Area Deprivation Index (ADI) and Childhood Opportunity Index (COI) scores were collected for 256 patients.

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The exploration of chemical space is a fundamental aspect of chemoinformatics, particularly when one explores a large compound data set to relate chemical structures with molecular properties. In this study, we extend our previous work on chemical space visualization at the pharmacophoric level. Instead of using conventional binary classification of affinity (active vs inactive), we introduce a refined approach that categorizes compounds into four distinct classes based on their activity levels: super active, very active, active, and inactive.

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The mental health of youth with chronic kidney disease (CKD) has been increasingly recognized as an area of clinical need. The development of mental health concerns is influenced by a range of physiological, psychological, and environmental factors. Some of these factors are common across child development, but some are more unique to youth with CKD.

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This paper presents a novel approach called Pharmacophore Activity Delta for extracting outstanding pharmacophores from a chemogenomic dataset, with a specific focus on a kinase target known as BCR-ABL. The method involves constructing a Hasse diagram, referred to as the pharmacophore network, by utilizing the subgraph partial order as an initial step, leading to the identification of pharmacophores for further evaluation. A pharmacophore is classified as a 'Pharmacophore Activity Delta' if its capability to effectively discriminate between active vs inactive molecules significantly deviates (by at least δ standard deviations) from the mean capability of its related pharmacophores.

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