Publications by authors named "Gayle Murray"
Background: Hidradenitis suppurativa (HS) is a potentially debilitating, chronic, recurring inflammatory disease. Observational databases provide opportunities to study the epidemiology of HS.
Objective: This study's objective was to develop phenotype algorithms for HS suitable for epidemiological studies based on a network of observational databases.
Article Synopsis
- Phenotype algorithms are tools that translate health conditions into executable rules for analyzing data, and PheValuator is a software that evaluates their performance using metrics like sensitivity and predictive values.
- The updated PheValuator includes more diagnostic variables and considers timelines in its model to enhance accuracy, as opposed to the previous version, which had stricter predictor restrictions.
- Comparisons of the new model with traditional validation methods showed a significant improvement in the positive predictive value (PPV), reducing the median difference between PheValuator estimates and gold standards.
We used real world data to summarize comorbidities and interventions among patients newly diagnosed with autism spectrum disorder (ASD). Data were derived from two claims-based US healthcare databases; Medicaid and Optum to construct a retrospective cohort of 36,000 patients. Attention-Deficit-Hyperactivity-Disorder (ADHD) was the most common co-morbidity (Medicaid: 50.
View Article and Find Full Text PDFBackground: Sickle cell disease (SCD) is a rare disorder with cardinal features including hospitalization for vaso-occlusive pain episodes, acute pulmonary injury, and increased infection rates. For physician-trainees, learning optimal SCD management is challenging because of limited exposure to life threatening complications requiring timely interventions.
Procedure: To create, demonstrate reliability, and validate simulation-based, acute care SCD scenarios for physician-trainees, seven scenarios were derived from SCD patient cases.
Measurements of bone mineral density and bone mineral content are key data in the study of osteoporosis and pathologic skeletal disease. Dual-energy X-ray absorptiometry and peripheral quantitative computed tomography are used in human and small animal studies. The purpose of this study was to evaluate the precision, accuracy, and systematic bias of measurement of the rat femur.
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