Publications by authors named "J Dominick"

Health plans develop predictive models to predict key clinical events (eg, admissions, readmissions, emergency department visits). The authors developed predictive models of admissions and readmissions for a quality improvement organization with many large government and private health plan clients. Its membership and authorization data were used to develop models predicting 2019 inpatient stays, and 2019 readmissions following 2019 admissions, based on patients' age and sex, diagnoses identified and procedures requested in 2018 authorizations, and 2018 admission authorizations.

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Background: The presence of co-existent neuronal antibodies (neuronal-IgG) in patients with myelin oligodendrocyte glycoprotein immunoglobulin G (MOG-IgG1) is not yet well understood.

Objectives: The aim of this study was to investigate the co-existence of a broad range of neuronal-IgG in MOG-IgG1+ patients.

Methods: MOG-IgG1+ patients were tested for 17 neuronal-IgGs in cerebrospinal fluid (CSF) and serum including NMDA-R-IgG, AMPA-R-IgG, GABAB-R-IgG, LGI1-IgG, CASPR2-IgG, GABAA-R-IgG, GAD65-IgG, mGLUR1-IgG, DPPX-IgG, CRMP5-IgG, amphiphysin-IgG, PCA1,2,Tr, and ANNA1,2,3.

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In a world where they are inundated with potential temptations, how are successful dieters able to resist the urge to give in to unhealthy foods? Four studies suggest distance is one tool that may enable people to forego temptation. People with strong goals to eat healthy preferred to be farther away from unhealthy foods (Study 1a), which was associated with feeling less tempted by and less likely to give in to them (Study 1b). In addition, successful self-regulators with goals to restrict unhealthy eating perceptually represented the distance to unhealthy foods as greater than the distance to healthy foods (Study 2).

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Host response to cancer signals has emerged as a key factor in cancer development; however, the underlying molecular mechanism is not well understood. In this report, we demonstrate that activating transcription factor 3 (ATF3), a hub of the cellular adaptive response network, plays an important role in host cells to enhance breast cancer metastasis. Immunohistochemical analysis of patient tumor samples revealed that expression of ATF3 in stromal mononuclear cells, but not cancer epithelial cells, is correlated with worse clinical outcomes and is an independent predictor for breast cancer death.

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