Association of Hemoglobin A1c and Wound Healing in Diabetic Foot Ulcers.

OBJECTIVE: This study evaluated the association between hemoglobin A1c (A1C) and wound outcomes in patients with diabetic foot ulcers (DFUs). RESEARCH DESIGN AND METHODS: We conducted a retrospective analysis of an ongoing prospective, clinic-based study of patients with DFUs treated at an academic institution during a 4.7-year period. Data from 270 participants and 584 wounds were included in the analysis. Cox proportional hazards regression was used to assess the incidence of wound healing at any follow-up time in relation to categories of baseline A1C and the incidence of long-term (≥90 days) wound healing in relation to tertiles of nadir A1C change and mean A1C change from baseline, adjusted for potential confounders. RESULTS: Baseline A1C was not associated with wound healing in univariate or fully adjusted models. Compared with a nadir A1C change from baseline of -0.29 to 0.0 (tertile 2), a nadir A1C change of 0.09 to 2.4 (tertile 3) was positively associated with long-term wound healing in the subset of participants with baseline A1C <7.5% (hazard ratio [HR] 2.07; 95% CI 1.08-4.00), but no association with wound healing was seen with the mean A1C change from baseline in this group. Neither nadir A1C change nor mean A1C change were associated with long-term wound healing in participants with baseline A1C ≥7.5%. CONCLUSIONS: There does not appear to be a clinically meaningful association between baseline or prospective A1C and wound healing in patients with DFUs. The paradoxical finding of accelerated wound healing and increase in A1C in participants with better baseline glycemic control requires confirmation in further studies.

Antibody-Mediated Extreme Insulin Resistance: A Report of Three Cases.

BACKGROUND: Type 2 diabetes mellitus is characterized by relative insulin deficiency and insulin resistance. Features suggesting severe insulin resistance include acanthosis nigricans, hyperandrogenism, weight loss, and recurrent hospital admissions for diabetic ketoacidosis. In rare circumstances, hyperglycemia persists despite administration of massive doses of insulin. In these cases, it is important to consider autoimmune etiologies for insulin resistance, such as type B insulin resistance and insulin antibody-mediated extreme insulin resistance, which carry high morbidity and mortality if untreated. Encouragingly, immunomodulatory regimens have recently been published that induce remission at high rates. METHODS/RESULTS: We describe 3 cases of extreme insulin resistance mediated by anti-insulin receptor autoantibodies or insulin autoantibodies. All cases were effectively treated with an immunomodulatory regimen. CONCLUSION: Although cases of extreme insulin resistance are rare, it is important to be aware of autoimmune causes, recognize suggestive signs and symptoms, and pursue appropriate diagnostic evaluation. Prompt treatment with immunomodulators is key to restoring euglycemia in patients with autoimmune etiologies of insulin resistance.

Characterizing the Clamor: An In-Depth Analysis of Inpatient Paging Communication.

PURPOSE: Communication failures contribute to adverse clinical events and health care inefficiencies. Paged messaging remains a predominant communication mechanism at many academic medical centers. An interprofessional, institutionally sponsored initiative to improve inpatient care team communication sought to understand the content and quantity of paged messages. METHOD: A retrospective analysis at Vanderbilt University Medical Center was performed for messages delivered to the 15 highest-volume pagers carried by inpatient medical, surgical, and pediatric residents over two monthlong periods of data collection between November 2013 and February 2014. An interprofessional team defined message content categories a priori. Descriptive statistics were used to demonstrate message volume and distribution by content category. Team members and stakeholder groups discussed common message themes during and after categorization to identify targets for improving care efficiency. RESULTS: During the data collection period, 10,928 messages were paged (median 38 messages per pager per shift). The most common primary content categories were bedside nursing (2,570; 30%) and medication (2,285; 26%). Common bedside nursing communications included notification of vital signs (915; 36%), patient activity (481; 19%), and diet (444; 18%). Most medication messages were requests to start (1,253; 55%) or change (694; 30%) a common medication. The team recommended implementing anticipatory orders for common medications and routine nursing staff needs using computerized order algorithms to reduce the volume of noncritical messages. CONCLUSIONS: An interprofessional assessment of the content and volume of paged communication identified high volumes of noncritical messages that could be eliminated through better anticipation of patient care needs.