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1.
Bull Menninger Clin ; 86(2): 124-132, 2022.
Article in English | MEDLINE | ID: mdl-35647778

ABSTRACT

Children with mental health needs are currently not able to access adequate resources. This report from the field describes the ongoing implementation of an integrated behavioral health model in the state of Texas. The Child Psychiatry Access Network (CPAN) leverages primary care providers (PCPs) in the treatment and management of childhood psychiatric disorders. Data are reported as of November 2021 from consultations placed by PCPs over the preceding 17 months. During that time period, following consultation with the CPAN team, over 90% of PCPs were comfortable delivering the recommended mental health care directly to their patients. This suggests that CPAN is a feasible integrated behavioral health approach to address the shortage of child and adolescent psychiatrists.


Subject(s)
Primary Health Care , Psychiatry , Adolescent , Child , Humans , Mental Health , Referral and Consultation , Texas
2.
Pediatr Radiol ; 51(9): 1758-1761, 2021 Aug.
Article in English | MEDLINE | ID: mdl-33710406

ABSTRACT

This case report of a 14-year-old boy with arthralgia and clinically suspected inflammatory arthropathy highlights how magnetic resonance imaging (MRI) ultimately diagnosed skeletal dysplasia. A genetic evaluation revealed a transient receptor potential vanilloid 4 (TRPV4) pathogenic variant. This is a rare description of the MRI appearance of this type of dysplasia in long bone epiphyses corresponding with the histological findings of disrupted endochondral ossification. This report offers imaging support to the description of endochondral bone growth disruption in TRPV4-related skeletal dysplasias.


Subject(s)
Osteoarthritis , Osteochondrodysplasias , Adolescent , Humans , Magnetic Resonance Imaging , Male , Osteochondrodysplasias/diagnostic imaging , Osteogenesis
3.
J Investig Med ; 69(3): 710-718, 2021 03.
Article in English | MEDLINE | ID: mdl-33431604

ABSTRACT

The global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic leading to coronavirus disease 2019 (COVID-19) is straining hospitals. Judicious resource allocation is paramount but difficult due to the unpredictable disease course. Once hospitalized, discerning which patients may progress to critical disease would be valuable for resource planning. Medical records were reviewed for consecutive hospitalized patients with COVID-19 in a large healthcare system in Texas. The main outcome was progression to critical disease within 10 days from admission. Albumin trends from admission to 7 days were analyzed using mixed-effects models, and progression to critical disease was modeled by multivariable logistic regression of laboratory results. Risk models were evaluated in an independent group. Of 153 non-critical patients, 28 (18%) progressed to critical disease. The rate of decrease in mean baseline-corrected (Δ) albumin was -0.08 g/dL/day (95% CI -0.11 to -0.04; p<0.001) or four times faster, in those who progressed compared with those who did not progress. A model of Δ albumin combined with lymphocyte percentage predicting progression to critical disease was validated in 60 separate patients (sensitivity, 0.70; specificity, 0.74). ALLY (delta albumin and lymphocyte percentage) is a simple tool to identify patients with COVID-19 at higher risk of disease progression when: (1) a 0.9 g/dL or greater albumin drop from baseline within 5 days of admission or (2) baseline lymphocyte of ≤10% is observed. The ALLY tool identified >70% of hospitalized cases that progressed to critical COVID-19 disease. We recommend prospectively tracking albumin. This is a globally applicable tool for all healthcare systems.


Subject(s)
COVID-19/blood , COVID-19/complications , Lymphopenia/etiology , Models, Biological , Serum Albumin, Human/deficiency , Adult , Aged , COVID-19/epidemiology , Critical Illness , Disease Progression , Female , Humans , Lymphopenia/blood , Male , Middle Aged , Pandemics , Risk Factors , SARS-CoV-2 , Severity of Illness Index , Texas/epidemiology , Time Factors
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