Outreach Method Predicts Patient Re-engagement in Diabetes Care During Sustained Care Disruption.

OBJECTIVE: During the COVID-19 pandemic, visits for diabetes care were abruptly canceled without predefined procedures to re-engage patients. This study was designed to determine how outreach influences patients to maintain diabetes care and identify factors that might impact the intervention's efficacy. METHODS: A diabetes nursing team attempted outreach for patients who had a canceled appointment for diabetes between March 16, 2020, and June 19, 2020. Outreach status was defined as reached, message left, or no contact. Outcomes were defined as follows: (1) booking and (2) keeping a follow-up appointment. RESULTS: Seven hundred eighty-seven patients were included (384 [49%] were reached, 152 (19%) were left a message, and 251 (32%) had no contact). Reached patients were more likely to book [odds ratio (OR) = 2.43, P < .001] and keep an appointment (OR = 2.39, P < .001) than no-contact patients. Leaving a message did not increase the odds of booking (OR = 1.05, P = .84) or keeping (OR = 1.17, P = .568) an appointment compared with no contact. Older age was a significant predictor of booking an appointment (OR = 1.014 for each year of age, P = .037). Patients on insulin were more likely to keep their appointment (OR = 1.70, P = .008). Patients with a higher hemoglobin A1C level were less likely to keep their appointment (OR = 0.87 for each 1.0% increase in the hemoglobin A1C level, P = .011). CONCLUSION: These findings suggest that to optimize re-engagement during care disruption, 1-way communication is no better than no contact and that 2-way communication increases the likelihood that patients will maintain access to care. In addition, although higher-risk patients (eg, patients with older age or those on insulin) may be more incentivized to stay engaged, targeted outreach is needed for those with chronically poor glycemic control.

Global Corner Spotlight: Perspectives on Diabetes Care in Cambodia as Seen Through an Ngo-Run Healthcare System.

ABBREVIATIONS: CMC = Community Medical Center; SGLT2 = sodium-glucose cotransporter 2; SHCH = Sihanouk Hospital Center of Hope.

EFFECTIVENESS OF INPATIENT INSULIN ORDER SETS USING HUMAN INSULINS IN NONCRITICALLY ILL PATIENTS IN A RURAL HOSPITAL.

OBJECTIVE: Recent guidelines recommend a physiologic approach to non-intensive care unit (ICU) inpatient glucose management utilizing basal-bolus with correctional (BBC) insulin over traditional sliding-scale insulin monotherapy. Unfortunately, few studies exist using a BBC approach restricted to human insulins (regular and neutral protamine Hagedorn [NPH]). This study evaluated changes in provider prescribing patterns, effects on blood glucose, and safety with implementation of hospital order sets for BBC using human insulins. METHODS: Order sets were developed for non-ICU inpatients, consisting of basal, prandial, and correctional insulin using NPH and regular human insulins. Evaluation compared a 4-month period before (admissions, n = 274) with a 4-month period after order set availability (n = 302). Primary outcome was change in insulin prescribing patterns. Secondary outcomes included use of nonpreferred diabetes treatments, hemoglobin A1c testing, mean daily blood glucose, and incidence of hypoglycemia. RESULTS: Use of BBC insulin regimen increased from 10.6 to 27.5% after order set implementation (P<.001). Use of oral antihyperglycemic agents decreased from 24.1 to 14.9% after implementation (P = .006). Hemoglobin A1c testing rose from 50.0 to 62.3% after (P = .003). Mean daily blood glucose improved, with an estimated mean difference of 14.4 mg/dL (95% confidence interval, 2.2 to 26.5 mg/dL) over hospital days 3 through 9 (P = .02). There was no significant change in the incidence of moderate or severe hypoglycemia. CONCLUSION: Implementation of hospital-wide human insulin order sets led to improvements in prescribing practices and blood glucose control, without increasing the incidence of hypoglycemia. These order sets may be useful for facilities limited by formulary and cost considerations to the use of older human insulins.

Preoperative glucose as a screening tool in patients without diabetes.

BACKGROUND: Although hyperglycemia has been associated with poor postoperative outcomes, preoperative hyperglycemia is not used as a screening tool in patients without diabetes. We evaluated preoperative glucose as a marker for postoperative outcomes in patients without diabetes to assess its usefulness as a potential screening tool. MATERIALS AND METHODS: Clinical characteristics for a sample of 6683 patients without diabetes who underwent nonemergent vascular and general surgery were collected from the American College of Surgeons National Surgical Quality Improvement Program, Brigham and Women's Hospital database. Last glucose measured within 30 d before surgery was the main predictor variable with postoperative infection within 30 d as the primary outcome. RESULTS: For patients without known diabetes with preoperative glucose of 100-139 and 140-179 mg/dL, postoperative infection rates were significantly higher (9.33% and 10.16%, respectively) than that of patients with preoperative glucose of 70-99 mg/dL (5.62%, P < 0.001). The risk-adjusted odds of postoperative infection increased by 40% (95% CI, 13%-72%) for each 40 mg/dL increase in preoperative glucose over the range 70-179 mg/dL. Follow-up data demonstrated that 15% of patients with preoperative glucose ≥100 mg/dL were diagnosed with diabetes within 1 y after surgery. CONCLUSIONS: In patients without known diabetes, preoperative glucose is a significant marker for postoperative complications even at moderate levels of hyperglycemia. Some of these patients likely had prediabetes or unrecognized diabetes at the time of surgery. Further studies are needed to determine whether such screening and follow-up of preoperative hyperglycemia in all patients would be effective in lowering complication rates.

Effects of an Intensive Discharge Intervention on Medication Adherence, Glycemic Control, and Readmission Rates in Patients With Type 2 Diabetes.

OBJECTIVES: Patients with diabetes are at particularly high risk for adverse outcomes after hospitalization. The goals of this study were to design, implement, and evaluate a multipronged transitional care intervention among hospitalized patients with diabetes. METHODS: We randomly assigned inpatients likely to be discharged home on insulin to an intensive transitional care intervention or usual care. The primary outcome was 90-day postdischarge insulin adherence, using prescription refill information to calculate a medication possession ratio. Unadjusted analyses were conducted using Wilcoxon rank sum; adjusted analyses used multivariable linear regression and weighted propensity scoring methods, with general estimating equations to account for clustering by admitting physician. RESULTS: One hundred eighty patients participated. The mean (SD) medication possession ratio to all insulin types was 84.5% (22.6) among intervention and 76.4% (25.1) among usual care patients (difference = 8.1, 95% confidence interval = -1.0 to 17.2, P = 0.06), with a smaller difference for adherence to all medications (86.3% versus 82.0%). A1c levels decreased in both groups but was larger in the intervention arm (1.09 and 0.11, respectively) (difference = -0.98, 95% confidence interval = -2.03 to -0.07, P = 0.04). Differences between study arms were not significant for rates of hypoglycemic episodes, 30-day readmissions, or emergency department visits. In adjusted/clustered analyses, the difference in A1c reduction remained statistically significant, whereas differences in all other outcomes remained nonsignificant. CONCLUSIONS: The intervention was associated with improvements in glycemic control, with nonsignificant trends toward greater medication adherence. Further research is needed to optimize and successfully implement interventions to improve patient safety and health outcomes during care transitions.

The Effect of Continuous Positive Airway Pressure on Vascular Function and Cardiac Structure in Diabetes and Sleep Apnea. A Randomized Controlled Trial.

Rationale: Although both type 2 diabetes mellitus (T2DM) and obstructive sleep apnea (OSA) are independently recognized as risk factors for cardiovascular disease, little is known about their interaction.Objectives: We hypothesized that T2DM and OSA act synergistically to increase vascular risk, and that treatment of OSA would improve vascular reactivity in patients with T2DM plus OSA.Methods: Cross-sectional study of 141 adults with T2DM, OSA, T2DM plus OSA, and control subjects, followed by a 3-month, parallel-arm, randomized, placebo-controlled trial comparing active and sham continuous positive airway pressure (CPAP) in 53 adults with T2DM plus OSA. Endothelium-dependent macro- and microvascular reactivity (flow-mediated dilation [FMD] of the brachial artery and acetylcholine-induced dilation of forearm microvasculature, respectively) and cardiovascular magnetic resonance to assess left- and right-ventricular mass/volume.Results: Mean (±SD) FMD was 6.1 (±4.0)%, 7.3 (±3.6)%, 6.8 (±4.5)%, and 4.8 (±2.9)% in control subjects, T2DM only, OSA only, and T2DM plus OSA, respectively. We observed a significant T2DM × OSA interaction on FMD, such that the mean effect of OSA in those with T2DM was 3.1% (95% confidence interval [CI], 0.6 to 5.6) greater than the effect of OSA in those without T2DM. A total of 3 months of CPAP resulted in a mean absolute increase in FMD of 0.3% (95% CI, -1.9 to 2.5; primary endpoint), with a net improvement of 1.1% (95% CI, -1.4 to 3.6) among those with adherence of 4 h/night or greater. A significant T2DM × OSA interaction was found for both left ventricular (LV) and right ventricular end-diastolic volume, such that OSA was associated with a 22.4 ml (95% CI, 3.2 to 41.6) greater LV end-diastolic volume and 23.2 ml (95% CI, 2.6 to 43.8) greater right ventricular end-diastolic volume in those with T2DM compared with the impact of OSA in those without T2DM. We observed a net improvement in LV end-diastolic volume of 8.7 ml (95% CI, -7.0 to 24.4).Conclusions: The combination of T2DM plus OSA is associated with macrovascular endothelial dysfunction beyond that observed with either disease alone. CPAP for 3 months did not significantly improve macrovascular endothelial function in the intent-to-treat analysis; however, cardiovascular magnetic resonance results suggest that there may be a beneficial effect of CPAP on LV diastolic volume.Clinical trial registered with www.clinicaltrials.gov (NCT01629862).

Effects of hyperglycemia on fluorine-18-fluorodeoxyglucose biodistribution in a large oncology clinical practice.

AIM: Suggested cutoff points of blood glucose levels (BGL) before F-FDG PET/CT scanning vary between 120 and 200 mg/dl in current guidelines. This study's purpose was to compare the frequency of abnormal fluorine-18-fluorodeoxyglucose (F-FDG) biodistribution on PET/CT scans of patients with various ranges of abnormal BGL and to determine the effect of BGL greater than 200 mg/dl on F-FDG uptake in various organs. PATIENTS AND METHODS: F-FDG PET/CT scans were retrospectively reviewed for 325 patients with BGL greater than 120 mg/dl at the time of scan and 112 with BGL less than or equal to 120 mg/dl. F-FDG biodistribution was categorized as normal, mildly abnormal, or abnormal by visual analysis of brain, background soft tissue, and muscle. Mean standardized uptake values (SUVmean) in brain, liver, fat (flank), gluteal muscle, and blood pool (aorta) were recorded. F-FDG biodistribution frequencies were assessed using a nonparametric χ-test for trend. Normal organ SUVs were compared using Kruskal-Wallis tests using the following BGL groupings: ≤120, 121-150, 151-200, and ≥201 mg/dl. RESULTS: Although higher BGL were significantly associated with an increased proportion of abnormal biodistribution (P<0.001), most patients with BGL less than or equal to 200 mg/dl had normal or mildly abnormal biodistribution. Average brain SUVmean significantly decreased with higher BGL groupings (P<0.001). Average aorta, gluteal muscle, and liver SUVmean did not significantly differ among groups with BGL greater than 120 mg/dl (P=0.66, 0.84, and 0.39, respectively), but were significantly lower in those with BGL less than or equal to 120 mg/dl (P≤0.001). Flank fat SUVmean was not significantly different among BGL groups (P=0.67). CONCLUSION: Abnormal F-FDG biodistribution is associated with higher BGL at the time of scan, but the effects are negligible or mild in most patients with BGL less than 200 mg/dl. Although mildly increased soft tissue uptake is seen with BGL greater than 120 mg/dl, decline in brain metabolic activity correlated the most with various BGL.

TCF7L2 Genetic Variation Augments Incretin Resistance and Influences Response to a Sulfonylurea and Metformin: The Study to Understand the Genetics of the Acute Response to Metformin and Glipizide in Humans (SUGAR-MGH).

OBJECTIVE: The rs7903146 T allele in transcription factor 7 like 2 (TCF7L2) is strongly associated with type 2 diabetes (T2D), but the mechanisms for increased risk remain unclear. We evaluated the physiologic and hormonal effects of TCF7L2 genotype before and after interventions that influence glucose physiology. RESEARCH DESIGN AND METHODS: We genotyped rs7903146 in 608 individuals without diabetes and recorded biochemical data before and after 1) one dose of glipizide (5 mg) on visit 1 and 2) a 75-g oral glucose tolerance test (OGTT) performed after administration of metformin 500 mg twice daily over 2 days. Incretin levels were measured in 150 of the 608 participants. RESULTS: TT risk-allele homozygotes had 1.6 mg/dL higher baseline fasting glucose levels and 2.5 pg/mL lower glucagon levels per T allele than carriers of other genotypes at baseline. In a subset of participants, the T allele was associated with higher basal glucagon-like peptide 1 (GLP-1) levels at visit 1 (ß = 1.52, P = 0.02 and ß = 0.96, P = 0.002 for total and active GLP-1, respectively), and across all points of the OGTT after metformin administration. Regarding drug response, the T allele was associated with a shorter time (ß = -7.00, P = 0.03) and a steeper slope (ß = 0.23, P = 0.04) to trough glucose levels after glipizide administration, and lower visit 2 fasting glucose level adjusted for visit 1 fasting glucose level (ß = -1.02, P = 0.04) and a greater decline in glucose level between visits (ß = -1.61, P = 0.047) after metformin administration. CONCLUSIONS: Our findings demonstrate that common variation at TCF7L2 influences acute responses to both glipizide and metformin in people without diabetes and highlight altered incretin signaling as a potential mechanism by which TCF7L2 variation increases T2D risk.

Update on Glucose Management Among Noncritically Ill Patients Hospitalized on Medical and Surgical Wards.

Hyperglycemia is a common issue affecting inpatient care. Although this is in part because of the higher rate of hospitalization among patients with preexisting diabetes, multiple factors complicate inpatient glucose management, including acute stress from illness or surgery, erratic dietary intake, and contribution of medications. It has been repeatedly demonstrated that poorly controlled blood glucose levels are associated with negative clinical outcomes, such as increased mortality, higher rate of surgical complications, and longer length of hospital stay. Given these concerns, there has been extensive study of the optimal strategy for management of glucose levels, with the bulk of existing literature focusing on insulin therapy in the intensive care unit setting. This review shifts the focus to the general adult medical and surgical wards, using clinical guidelines and sentinel studies to describe the scientific basis behind the current basal-bolus insulin-based approach to blood sugar management among noncritically ill inpatients. Patient-centered clinical trials looking at alternative dosing regimens and insulin analog and noninsulin agents, such as glucagon-like peptide-1 agonist therapies, introduce safe and effective options in the management of inpatient hyperglycemia. Data from these studies reveal that these approaches are of comparable safety and efficacy to the traditional basal-bolus insulin regimen, and may offer additional benefit in terms of less monitoring requirements and lower rates of hypoglycemia. Although existing data are encouraging, outcome studies will be needed to better establish the clinical impact of these more recently proposed approaches in an effort to broaden and improve current clinical practices in inpatient diabetes care.

The study to understand the genetics of the acute response to metformin and glipizide in humans (SUGAR-MGH): design of a pharmacogenetic resource for type 2 diabetes.

OBJECTIVE: Genome-wide association studies have uncovered a large number of genetic variants associated with type 2 diabetes or related phenotypes. In many cases the causal gene or polymorphism has not been identified, and its impact on response to anti-hyperglycemic medications is unknown. The Study to Understand the Genetics of the Acute Response to Metformin and Glipizide in Humans (SUGAR-MGH, NCT01762046) is a novel resource of genetic and biochemical data following glipizide and metformin administration. We describe recruitment, enrollment, and phenotyping procedures and preliminary results for the first 668 of our planned 1,000 participants enriched for individuals at risk of requiring anti-diabetic therapy in the future. METHODS: All individuals are challenged with 5 mg glipizide × 1; twice daily 500 mg metformin × 2 days; and 75-g oral glucose tolerance test following metformin. Genetic variants associated with glycemic traits and blood glucose, insulin, and other hormones at baseline and following each intervention are measured. RESULTS: Approximately 50% of the cohort is female and 30% belong to an ethnic minority group. Following glipizide administration, peak insulin occurred at 60 minutes and trough glucose at 120 minutes. Thirty percent of participants experienced non-severe symptomatic hypoglycemia and required rescue with oral glucose. Following metformin administration, fasting glucose and insulin were reduced. Common genetic variants were associated with fasting glucose levels. CONCLUSIONS: SUGAR-MGH represents a viable pharmacogenetic resource which, when completed, will serve to characterize genetic influences on pharmacological perturbations, and help establish the functional relevance of newly discovered genetic loci to therapy of type 2 diabetes. TRIAL REGISTRATION: ClinicalTrials.gov NCT01762046.

Branched chain and aromatic amino acids change acutely following two medical therapies for type 2 diabetes mellitus.

OBJECTIVE: Elevated circulating levels of branched chain and aromatic amino acids (BCAA/AAAs) are associated with insulin resistance and incident type 2 diabetes (T2D). BCAA/AAAs decrease acutely during an oral glucose tolerance test (OGTT), a diagnostic test for T2D. It is unknown whether changes in BCAA/AAAs also signal an early response to commonly used medical therapies for T2D. MATERIALS AND METHODS: A liquid chromatography-mass spectrometry approach was used to measure BCAA/AAAs in 30 insulin sensitive (IS) and 30 insulin resistant (IR) subjects before and after: (1) one dose of a sulfonylurea medication, glipizide, 5 mg orally; (2) two days of twice daily metformin 500 mg orally; and (3) a 75-g OGTT. Percent change in BCAA/AAAs was determined after each intervention. RESULTS: Following glipizide, which increased insulin and decreased glucose in both subject groups, BCAA/AAAs decreased in the IS subjects only (all P<0.05). Following metformin, which decreased glucose and insulin in only the IR subjects, 4 BCAA/AAAs increased in the IR subjects at or below P=0.05, and none changed in the IS subjects. Following OGTT, which increased glucose and insulin in all subjects, BCAA/AAAs decreased in all subjects (P<0.05). CONCLUSIONS: BCAA/AAAs changed acutely during glipizide and metformin administration, and the magnitude and direction of change differed by the insulin resistance status of the individual and the intervention. These results indicate that BCAA/AAAs may be useful biomarkers for monitoring the early response to therapeutic interventions for T2D.

Longitudinal study of the diagnosis of components of the metabolic syndrome in individuals with binge-eating disorder.

BACKGROUND: Binge-eating disorder may represent a risk factor for the metabolic syndrome. OBJECTIVE: The objective was to assess longitudinally the relation between binge-eating disorder and components of the metabolic syndrome. DESIGN: At 2.5 and 5 y of follow-up, 134 individuals with binge-eating disorder and 134 individuals with no history of eating disorders, who were frequency-matched for age, sex, and baseline body mass index (BMI), were interviewed during the follow-up interval regarding new diagnoses of 3 metabolic syndrome components: hypertension, dyslipidemia, and type 2 diabetes. RESULTS: A comparison of individuals with and without a binge-eating disorder in analyses adjusted for age, sex, baseline BMI, and interval BMI change had hazard ratios (95% CIs) for reporting new diagnoses of metabolic syndrome components of 2.2 (1.2, 4.2; P = 0.023) for dyslipidemia, 1.5 (0.76, 2.9; P = 0.33) for hypertension, 1.6 (0.77, 3.9; P = 0.29) for type 2 diabetes, 1.7 (1.1, 2.6; P = 0.023) for any component, and 2.4 (1.1, 5.7; P = 0.038) for > or =2 components. CONCLUSION: Binge-eating disorder may confer a risk of components of the metabolic syndrome over and above the risk attributable to obesity alone. This trial was registered at www.clinicaltrials.gov as NCT00777634.