Accuracy of a Real-Time Continuous Glucose Monitor in Pediatric Diabetic Ketoacidosis Admissions.

Objective: Continuous glucose monitoring (CGM) devices are integral in the outpatient care of people with type 1 diabetes, although they lack inpatient labeling. Food and Drug Administration began allowing inpatient use during the coronavirus disease 2019 (COVID-19) pandemic, with some accuracy data now available, primarily from adult hospitals. Pediatric inpatient data remain limited, particularly during diabetic ketoacidosis (DKA) admissions and for patients receiving intravenous (IV) insulin. Design and Methods: This retrospective chart review compared point-of-care glucose values to personal Dexcom G6 sensor data during pediatric hospitalizations. Accuracy was assessed using mean absolute relative difference (MARD), Clarke Error Grids, and the percentage of values within 15/20/30% if glucose value >100 mg/dL and 15/20/30 mg/dL if glucose value ≤100 mg/dL. Results: Matched paired glucose values (N = 612) from 36 patients (median age 14 years, 58.3% non-Hispanic White, 47.2% male) and 42 inpatient encounters were included in this subanalysis of DKA admissions. The MARDs for DKA and non-DKA admissions (N = 503) were 11.8% and 11.7%, with 97.6% and 98.6% of pairs falling within A and B zones of the Clarke Error Grid, respectively. Severe DKA admissions (pH <7.15 and/or bicarbonate <5 mmol/L) had a MARD of 8.9% compared to 14.3% for nonsevere DKA admissions. The MARD during administration of IV insulin (N = 266) was 13.4%. Conclusions: CGM accuracy is similar between DKA and non-DKA admissions and is maintained in severe DKA and during IV insulin administration, suggesting potential usability in pediatric hospitalizations. Further study on the feasibility of implementation of CGM in the hospital is needed.

Accuracy of a Continuous Glucose Monitor During Pediatric Type 1 Diabetes Inpatient Admissions.

Objective: Continuous glucose monitors (CGMs) used for type 1 diabetes management are associated with lower hemoglobin A1c. CGMs are not approved for inpatient use, when close glucose monitoring and intensive insulin management are essential for optimal health. Accuracy data from adult hospitalizations have been published, but pediatric data are limited. Design and Methods: This retrospective review of Dexcom G6 data from youth with type 1 diabetes during hospitalization assessed CGMs and matched (within 5 min) point-of-care (POC) and laboratory glucose values. Glucose values >400 and <40 mg/dL were excluded due to sensor reporting capabilities. Standard methods for CGM accuracy were used including mean absolute relative difference (MARD), Clarke Error Grids, and percentage of CGM values within 15%/20%/30% if glucose value is >100 mg/dL and 15/20/30 mg/dL if value is ≤100 mg/dL. Results: A total of 1120 POC and 288 laboratory-matched pairs were collected from 83 unique patients (median age 12.0 years, 68.7% non-Hispanic white, 54.2% male) during 100 admissions. For POC values, overall, MARD was 11.8%, that on the medical floor was 13.5%, and that in the intensive care unit was 7.9%. The MARD for all laboratory values was 6.5%. In total, 98% of matched pairs were within Clarke Error Grid A and B zones. Conclusions: Findings from our pediatric population were similar to accuracy reported in hospitalized adults, indicating the potential role for CGM use during pediatric hospitalizations. Additional research is needed to assess accuracy under various conditions, including medication use, as well as development of safe hospital protocols for successful CGM implementation for routine inpatient care.

Bypassing the blues: Insomnia in the depressed post-CABG population.

BACKGROUND: BACKGROUND: Recovery from coronary artery bypass graft (CABG) surgery often is complicated by depression and insomnia, resulting in poorer health-related quality of life and clinical outcomes. We explored the relationships among depression, insomnia, quality of life, and the impact of a collaborative care strategy on reducing insomnia in patients after CABG surgery. METHODS: METHODS: Patients with a Patient Health Questionnaire score ≥10 were randomized to nurse-delivered collaborative care for depression (n = 150) or their physician's usual care (n = 152). A convenience sample of patients without depression (n = 151) served as the control group. Using the Hamilton Depression Rating Scale sleep questions, we created an "insomnia index." RESULTS: RESULTS: At baseline, 63% of participants who were depressed vs 12% of those who were not depressed reported insomnia. Compared with usual care, fewer collaborative care participants reported insomnia at 8 months, and they tended to have a lower insomnia score (insomnia index change score −0.95 and −1.47, respectively; P = .05) with no time-by- randomization interaction, Cohen's d = 0.22 (95% confidence interval, −0.001 to 0.43). Participants with baseline insomnia reported greater improvements in mental health­related quality of life (Medical Outcomes Survey 36-item Short Form Mental Component Summary score; −3.32, P = .02), but insomnia was not a significant moderator of the effect of collaborative care. CONCLUSIONS: CONCLUSIONS: This is the first study to examine the long-term impact on insomnia among post-CABG patients treated for depression. Future collaborative care studies could consider including a therapeutic focus for insomnia.