Results. In an elderly, predominantly male VARA cohort, 1,011 patients had lipid profiles; 787 patients (77.8%) were white. Statin use was recorded in 11.6% of patients, diabetes mellitus in 33.5%, and CVD in 31.2%. HCQ users (n ‫؍‬ 150) were older, had longer rheumatoid arthritis (RA) disease duration, and had lower disease activity. Optimum lipid profiles, including total cholesterol:high-density lipoprotein (HDL) and HDL:low-density lipoprotein ratios (P < 0.001), were more frequent in HCQ users, with the exception of HDL (P ‫؍‬ 0.165), and persisted in multivariate analyses. Similarly, more HCQ users had NCEP-ATP III target levels. Varied periods of HCQ exposure suggested lipid changes to occur early, but lost within a year of drug discontinuation. HCQ users had less prevalent CVD. Conclusion. In RA patients, HCQ use of at least 3 months' duration was associated with better lipid profiles irrespective of disease activity or statin use. Given the increased CVD risks in RA and the relative low cost and toxicity of HCQ, continued use, regardless of treatment regimen, should be considered.

An understanding of prognostic factors in breast cancer is imperative for guiding patient care. Increased tumor size and more advanced nodal status are established independent prognostic factors of poor outcomes and are incorporated into the American Joint Committee on Cancer (AJCC) TNM (primary tumor, regional lymph node, distant metastasis) staging system. However, other factors including imaging findings, histologic evaluation results, and molecular findings can have a direct effect on a patient's prognosis, including risk of recurrence and relative survival. Several microarray panels for gene profiling of tumors are approved by the U.S. Food and Drug Administration and endorsed by the American Society of Clinical Oncology. This article highlights prognostic factors currently in use for individualizing and guiding breast cancer therapy and is divided into four sections. The first section addresses patient considerations, in which modifiable and nonmodifiable prognostic factors including age, race and ethnicity, and lifestyle factors are discussed. The second part is focused on imaging considerations such as multicentric and/or multifocal disease, an extensive intraductal component, and skin or chest wall involvement and their effect on treatment and prognosis. The third section is about histopathologic findings such as the grade and presence of lymphovascular invasion. Last, tumor biomarkers and tumor biology are discussed, namely hormone receptors, proliferative markers, and categorization of tumors into four recognized molecular subtypes including luminal A, luminal B, human epidermal growth factor receptor 2-enriched, and triple-negative tumors. By understanding the clinical effect of these prognostic factors, radiologists, along with a multidisciplinary team, can use these tools to achieve individualized patient care and to improve patient outcomes. ©

Objective. To evaluate physician adherence with gout quality indicators (QIs) for medication use and monitoring, and behavioral modification (BM). Methods. Gout patients were assessed for the QIs as follows: QI 1: initial allopurinol dosage <300 mg/day for patients with chronic kidney disease (CKD); QI 2: uric acid within 6 months of allopurinol start; and QI 3: complete blood count and creatinine phosphokinase within 6 months of colchicine initiation. Natural language processing (NLP) was used to analyze clinical narrative data from electronic medical records (EMRs) of overweight (body mass index >28 kg/m 2 ) gout patients for BM counseling on gout-specific dietary restrictions, weight loss, and alcohol consumption (QI 4). Additional data included sociodemographics, comorbidities, and number of rheumatology and primary care visits. QI compliance versus noncompliance was compared using chi-square analyses and independent-groups t-test. Results. In 2,280 gout patients, compliance with QI was as follows: QI 1: 92.1%, QI 2: 44.8%, and QI 3: 7.7%. Patients compliant with QI 2 had more rheumatology visits at 3.5 versus 2.6 visits (P < 0.001), while those compliant with QI 3 had more CKD (P < 0.01). Of 1,576 eligible patients, BM counseling for weight loss occurred in 1,008 patients (64.0%), low purine diet in 390 (24.8%), alcohol abstention in 137 (8.7%), and all 3 elements in 51 patients (3.2%). Regular rheumatology clinic visits correlated with frequent advice on weight loss and gout-specific diet (P < 0.0001). Conclusion. Rheumatology clinic attendance was associated with greater QI compliance. NLP proved a valuable tool for measuring BM as documented in the clinical narrative of EMRs.

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