Coronavirus disease 2019 (COVID-19) is associated with considerable morbidity and mortality. The number of confirmed cases of infection with SARS-CoV-2, the virus causing COVID-19 continues to escalate with over 70 million confirmed cases and over 1.6 million confirmed deaths.
View Article and Find Full Text PDFAlbuminuria is common. Traditionally considered a precursor to diabetic nephropathy, it has now been directly linked to adverse cardiovascular outcomes and death, independent of other risk factors. In this review, we compare the measures of albuminuria, examine the evidence linking it to renal failure, cardiovascular disease, and death, and provide recommendations for its testing and management.
View Article and Find Full Text PDFObjective: The objective of this study was to explore the cost and utilization in the period following discontinuations or switches of disease modifying drugs (DMDs) for patients with multiple sclerosis (MS). Secondary objectives included an assessment of the time to switch or discontinuation from index DMD treatment.
Methods: Cases were defined as a billed MS diagnosis in continuously enrolled patients initiated with interferon-beta1a IM, interferon-beta1b SC, glatiramer acetate, and interferon-beta1a SC found in the PharMetrics Patient-Centric Database.
Objective: This retrospective database study aimed to evaluate the adherence of multiple sclerosis (MS) patients on immunomodulatory treatments using claims data, and to identify differences between compliance and persistency measurements in the context of this disease.
Methods: Continuously enrolled MS patients treated with subcutaneous IFNbeta-1b (Betaseron * ), subcutaneous IFNbeta-1a (Rebif dagger ), intramuscular IFNbeta-1a (Avonex double dagger ), and subcutaneous glatiramer acetate (Copaxone section sign ).) were identified from the PharMetrics patient-centric database, and all information related to patient demographics and pharmacy claims for the drugs of interest were extracted.
AMIA Annu Symp Proc
December 2004
Data from Clinical Data Warehouses (CDWs) can be used for retrospective studies and for benchmarking. However, automated identification of cases from large datasets containing data items in free text fields is challenging. We developed an algorithm for categorizing pediatric patients presenting with respiratory distress into Bronchiolitis, Bacterial pneumonia and Asthma using clinical variables from a CDW.
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