To better understand the challenges of generally implementing and adapting computational phenotyping approaches, the performance of a Phenotype KnowledgeBase (PheKB) algorithm for rheumatoid arthritis (RA) was evaluated on a University of California, Los Angeles (UCLA) patient population, focusing on examining its performance on ambiguous cases. The algorithm was evaluated on a cohort of 4,766 patients, along with a chart review of 300 patients by rheumatologists against accepted diagnostic guidelines. The performance revealed low sensitivity towards specific subtypes of positive RA cases, which suggests revisions in features used for phenotyping.
View Article and Find Full Text PDFThere is a well-known increased risk for cardiovascular disease that contributes to morbidity and mortality in systemic lupus erythematosus (SLE). Major adverse cardiovascular events and subclinical atherosclerosis are both increased in this patient population. While traditional cardiac risk factors do contribute to the increased risk that is seen, lupus disease-related factors, medications, and genetic factors also impact the overall risk.
View Article and Find Full Text PDFJ Can Chiropr Assoc
April 2022
Homelessness is a public health crisis. Homeless individuals have significantly worse health outcomes than the general population. We have begun examining challenges of caring for homeless patients with rheumatic and musculoskeletal diseases.
View Article and Find Full Text PDFWe cared for a woman with sero-positive rheumatoid arthritis (RA), in clinical remission on oral methotrexate (MTX) and hydroxychloroquine, who wished to donate a kidney to a brother with end-stage renal disease (ESRD). We could find scant literature about this unusual clinical circumstance, and therefore review pertinent aspects of renal disease in RA, perioperative medical management, maintenance of disease remission, outcomes for RA patients who have donated kidneys, and relevant ethical issues. Renal complications in RA are not uncommon, with as many as 50% of patients at risk of reduced eGFR.
View Article and Find Full Text PDFBackground: The objective of this study was to identify serum biomarkers capable of predicting clinical outcomes in previously-treated NSCLC patients with wild-type for EGFR activating mutations or insufficient tissue for mutation status determination.
Methods: Sixty-six Luminex immunoassays representative of biological themes that emerged from a re-analysis of transcriptome data from the Cancer Genome Atlas (TCGA) were evaluate against pretreatment serum specimens from previously-treated advanced NSCLC patients received either cytotoxic chemotherapy (n=32) or erlotinib (n=79). Known EGFR mutation positive cases were excluded from analysis.