A MULTICENTER STUDY EVALUATING PERCEPTIONS AND KNOWLEDGE OF INPATIENT GLYCEMIC CONTROL AMONG RESIDENT PHYSICIANS: ANALYZING THEMES TO INFORM AND IMPROVE CARE.

Objective: In this descriptive study, we evaluated perceptions and knowledge of inpatient glycemic control among resident physicians. Methods: We performed this study at four academic medical centers: the University of Mississippi Medical Center, University of Virginia Health System, University of Louisville Health Sciences Center, and Emory University. We designed a questionnaire, and Institutional Review Board approval was granted at each institution prior to study initiation. We then administered the questionnaire to Internal Medicine and Medicine-Pediatric resident physicians. Results: A total of 246 of 438 (56.2%) eligible resident physicians completed the Inpatient Glycemic Control Questionnaire (IGCQ). Most respondents (85.4%) reported feeling comfortable treating and managing inpatient hyperglycemia, and a majority (66.3%) agreed they had received adequate education. Despite self-reported comfort with knowledge, only 51.2% of respondents could identify appropriate glycemic targets in critically ill patients. Only 45.5% correctly identified appropriate inpatient random glycemic target values in noncritically ill patients, and only 34.1% of respondents knew appropriate preprandial glycemic targets in noncritically ill patients. A small majority (54.1%) were able to identify the correct fingerstick glucose value that defines hypoglycemia. System issues were the most commonly cited barrier to successful inpatient glycemic control. Conclusion: Most respondents reported feeling comfortable managing inpatient hyperglycemia but had difficulty identifying appropriate inpatient glycemic target values. Future interventions could utilize the IGCQ as a pre- and postassessment tool and focus on early resident education along with improving system environments to aid in successful inpatient glycemic control. Abbreviations: DM = diabetes mellitus; Emory = Emory University Healthcare; IGC = inpatient glycemic control; IGCQ = Inpatient Glycemic Control Questionnaire; IRB = Institutional Review Board; PGY = postgraduate year; UMMC = University of Mississippi Medical Center; UVA = University of Virginia Health System; UL = University of Louisville Health Sciences Center.

Efficiently finding and using evidence to guide clinical practice and improve care.

Using evidence to guide patient care improves patient outcomes. However, the volume of clinical and scientific literature and demands on provider time make staying current challenging. Primary literature searching or using public search engines to answer clinical questions often results in low-quality or incorrect answers, potentially yielding suboptimal clinical care. This article describes systematic strategies for primary literature searching that can yield higher-quality results than an unstructured approach.

Time-dependent effects of prognostic biomarkers of systemic inflammation in patients with metastatic renal cell carcinoma.

The goal of this study was to examine time-dependent effects of prognostic biomarkers of systemic inflammation in patients with metastatic renal cell carcinoma. Retrospective chart reviews were conducted at the Winship Cancer Institute of Emory University and the Atlanta Veterans Administration Medical Center with authorization from the Emory University Institutional Review Board and the Veterans Administration Research and Development Committee. Inclusion criteria included age ⩾18 years, treatment with targeted therapy for clear cell or non-clear cell metastatic renal cell carcinoma and concomitant assessment of C-reactive protein and albumin levels on ⩾3 occasions that were ⩾10 days apart. Discovery, expansion, and external validation cohorts were identified. Established prognostic variables were evaluated by univariate and multivariate analyses. Intensity of systemic inflammation was assessed at all time points with C-reactive protein and albumin as prognostic covariates for overall survival in an extended Cox regression model. Intensity of systemic inflammation was assessed on 3186 occasions in 181 patients. Risk status changed in 131 patients (72%). The hazard ratio for overall survival was 21.41 (95% confidence interval = 8.26-55.50) with a type 3 p value of <0.001 for the reference cohort and 9.68 (2.07-45.31) with a type-3 p value of 0.006 for the external validation cohort when time points associated with severe systemic inflammation were compared to all other time points. The bias-corrected c-statistic was 0.839 (0.773-0.905) and 0.818 (0.691-0.946), respectively. Terminal disease progression with severe systemic inflammation was detected in 87% of the 90 patients who died. In conclusion, time-dependent effects are a prominent feature of intensity of systemic inflammation, a powerful prognostic biomarker for metastatic renal cell carcinoma.