Introduction: An error grid compares measured versus reference glucose concentrations to assign clinical risk values to observed errors. Widely used error grids for blood glucose monitors (BGMs) have limited value because they do not also reflect clinical accuracy of continuous glucose monitors (CGMs). Methods: Diabetes Technology Society (DTS) convened 89 international experts in glucose monitoring to (1) smooth the borders of the Surveillance Error Grid (SEG) zones and create a user-friendly tool—the DTS Error Grid; (2) define five risk zones of clinical point accuracy (A-E) to be identical for BGMs and CGMs; (3) determine a relationship between DTS Error Grid percent in Zone A and mean absolute relative difference (MARD) from analyzing 22 BGM and nine CGM accuracy studies; and (4) create trend risk categories (1-5) for CGM trend accuracy. Results: The DTS Error Grid for point accuracy contains five risk zones (A-E) with straight-line borders that can be applied to both BGM and CGM accuracy data. In a data set combining point accuracy data from 18 BGMs, 2.6% of total data pairs equally moved from Zones A to B and vice versa (SEG compared with DTS Error Grid). For every 1% increase in percent data in Zone A, the MARD decreased by approximately 0.33%. We also created a DTS Trend Accuracy Matrix with five trend risk categories (1-5) for CGM-reported trend indicators compared with reference trends calculated from reference glucose. Conclusion: The DTS Error Grid combines contemporary clinician input regarding clinical point accuracy for BGMs and CGMs. The DTS Trend Accuracy Matrix assesses accuracy of CGM trend indicators.

Purpose: Inpatient glycemic management typically involves use of point-of-care (POC) glucose measurements to inform insulin dosing decisions. This study evaluated a hybrid monitoring protocol using real-time continuous glucose monitoring (rtCGM) supplemented with POC testing at a community hospital. Methods: Adult inpatients receiving POC glucose testing were monitored using rtCGM in a telemetry unit. The hybrid monitoring protocol required a once-daily POC test but otherwise primarily relied on rtCGM values for insulin dosing decisions. Outcomes assessment included surveillance error grid (SEG) and Clarke Error Grid (CEG) analysis results, the mean absolute relative difference (MARD) for available rtCGM-POC value pairs before and after study protocol application, the number of POC tests avoided, and the number of hypoglycemic events involving a blood glucose value of <70 mg/dL identified by rtCGM and POC values. Results: Data were collected from 30 inpatients (the mean age was 69.4 years, 77% were female, 80% had type 2 diabetes, and 37% were at-home insulin users). With the protocol applied, a total of 202 rtCGM-POC pairs produced a MARD of 12.5%. SEG analysis showed 2 pairs in the "moderate" risk category, with all other pairs in the "none" or "slight" risk categories. CEG analysis showed 99% of paired values to be in the clinically acceptable range. Six hypoglycemic events in 5 patients were resolved without incident. Three hundred three POC tests were avoided, a 60% reduction for the study duration. Conclusion: Use of a hybrid monitoring protocol of rtCGM and POC testing in a community hospital demonstrated sustained rtCGM accuracy and was found to reduce the frequency of POC testing to manage inpatient glycemia.

Purpose: Recent studies suggest a large percentage of post-surgical opioid prescriptions are not utilized. This surplus of opioids provides supply for diversion or entry into the waste cycle. Recommendations are available for general surgery procedures which may optimize prescribed quantity while maintaining patient satisfaction which this work was initiated to investigate. Methods: This retrospective patient survey was conducted with Institutional Review Committee approval following adjustments to discharge opioid prescription quantities in an individual General Surgeon practice. Patients were contacted via phone to assess the impact of the reduced opioid quantities. Patients were categorized based on whether they utilized the entire prescription or opioid remained. Data collected include baseline demographics, inpatient stay characteristics, opioid use patterns, and satisfaction with overall pain control. The primary endpoint was to determine if patients were satisfied with their pain control based on response. Secondary endpoints included if patient characteristics could be identified that signal larger opioid quantity use, and whether unused opioids were disposed. Results: Thirty patients utilized all opioid prescribed, 60 had some quantity remaining. Baseline data appear similar aside from age with younger patients using more opioid. Patients were satisfied with their overall pain control in 93% of respondents. A total of 960 opioid tablets (11.4 ± 4.8 tabs/patient) were not prescribed, 8% required refill. Opioid disposal yet to occur in 85% of patients. Conclusion: An evidence-based reduction in opioid discharge prescriptions following general surgery procedures resulted in nearly 1000 opioid tablets not being dispensed without having a negative impact on patient satisfaction.

Abstract Purpose Inpatient diabetes management involves frequent assessment of glucose levels for treatment decisions. Here we describe a program for inpatient real-time continuous glucose monitoring (rtCGM) at a community hospital and the accuracy of rtCGM-based glucose estimates. Methods Adult inpatients with preexisting diabetes managed with intensive insulin therapy and a diagnosis of coronavirus disease 2019 (COVID-19) were monitored via rtCGM for safety. An rtCGM system transmitted glucose concentration and trending information at 5-minute intervals to nearby smartphones, which relayed the data to a centralized monitoring station. Hypoglycemia alerts were triggered by rtCGM values of ≤85 mg/dL, but rtCGM data were otherwise not used in management decisions; insulin dosing adjustments were based on blood glucose values measured via fingerstick blood sampling. Accuracy was evaluated retrospectively by comparing rtCGM values to contemporaneous point-of-care (POC) blood glucose values. Results A total of 238 pairs of rtCGM and POC data points from 10 patients showed an overall mean absolute relative difference (MARD) of 10.3%. Clarke error grid analysis showed 99.2% of points in the clinically acceptable range, and surveillance error grid analysis showed 89.1% of points in the lowest risk category. It was determined that for 25% of the rtCGM values, discordances in rtCGM and POC values would likely have resulted in different insulin doses. Insulin dose recommendations based on rtCGM values differed by 1 to 3 units from POC-based recommendations. Conclusion rtCGM for inpatient diabetes monitoring is feasible. Evaluation of individual rtCGM-POC paired values suggested that using rtCGM data for management decisions poses minimal risks to patients. Further studies to establish the safety and cost implications of using rtCGM data for inpatient diabetes management decisions are warranted.

Purpose Guidelines recommend systemic corticosteroids for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) albeit in lower doses than studies that cemented corticosteroids' place in therapy. Corticosteroids potentiate hyperglycemia, however it is undetermined how corticosteroid dose impacts hyperglycemia incidence. Objectives To establish whether a greater incidence of steroid-induced hyperglycemia (SIHGLY) exists for high- versus low-dose corticosteroids. Methods Patients with primary discharge diagnosis 491.21/491.22 in a community hospital were retrospectively reviewed and divided into tertiles based on corticosteroid dosage. Baseline characteristics and primary endpoint were statistically assessed between tertiles using logistic regression analysis. A Cox proportional hazards (CPH) model adjusted for potential covariates. Post hoc analysis for primary outcome and CPH model was run removing non-insulin dependent diabetics because of disproportionate event count. A secondary endpoint used a Kaplan-Meier curve to evaluate time to event between tertiles. Results Tertile divisions were 125 and 187.5 mg methylprednisolone equivalents. The primary outcome for incidence of SIHGLY was insignificant; post hoc analysis removing non-insulin-dependent diabetics narrowly missed significance between tertiles 1 and 3 ( P = .056). CPH analysis found significant differences in SIHGLY between tertiles 1 and 2 (hazard ratio [HR], 1.68; 95% CI, 1.02–2.76) and tertile 1 and 3 (HR, 1.79; 95% CI, 1.13–2.84), further post hoc analysis resulted in a loss of significance for the CPH analysis. Of 21 non-insulin-dependent diabetics, 20 met event status. The Kaplan-Meier analysis results were insignificant. Conclusions Study results suggest that a link between larger corticosteroid doses and hyperglycemia incidence may exist, but it requires further study. Results in non-insulin-dependent diabetics provide evidence for increased glucose monitoring upon initiation of corticosteroid therapy.