Association of Metformin, Dipeptidyl Dipeptidase-4 Inhibitors, and Insulin with Coronavirus Disease 2019-Related Hospital Outcomes in Patients with Type 2 Diabetes.

OBJECTIVE: The effects of diabetes medications on COVID-19 hospitalization outcomes have not been consistent. We sought to determine the effect of metformin, dipeptidyl peptidase-4 inhibitors (DPP-4i), and insulin on admission to the intensive care unit (ICU), need for assisted ventilation, development of renal insufficiency, and mortality in patients admitted with COVID-19 infection after controlling for clinical variables and other relevant diabetes-related medications in patients with type 2 diabetes mellitus (DM). METHODS: This was a retrospective study of patients hospitalized with COVID-19 from a single hospital system. Univariate and multivariate analyses were performed that included demographic data, glycated hemoglobin, kidney function, smoking status, insurance, Charlson comorbidity index, number of diabetes medications, and use of angiotensin-converting enzyme inhibitors and statin prior to admission and glucocorticoids during admission. RESULTS: A total of 529 patients with type 2 DM were included in our final analysis. Neither metformin nor DPP4i prescription was associated with ICU admission, need for assisted ventilation, or mortality. Insulin prescription was associated with increased ICU admission but not with need for assisted ventilation or mortality. There was no association of any of these medications with development of renal insufficiency. CONCLUSIONS: In this population, limited to type 2 DM and controlled for multiple variables that have not been consistently studied (such as a measure of general health, glycated hemoglobin, and insurance status), insulin prescription was associated with increased ICU admission. Metformin and DPP4i prescriptions did not have an association with the outcomes.

Noninvasive Glucose Monitor Using Dielectric Spectroscopy.

OBJECTIVE: The Alertgy noninvasive continuous glucose monitor (ANICGM) is a novel wristband device that reports glucose levels without entailing skin puncture. This study evaluated the performance of the ANICGM compared to a Food and Drug Administration-approved glucose meter in patients with type 2 diabetes. METHODS: The ANICGM device measures changes in the electromagnetic field generated by its sensor to produce a dielectric spectrum. The data contained within this spectrum are used in tandem with machine learning algorithms to estimate blood glucose levels. Values from the ANICGM were collected, sent to the Alertgy lab, formatted, and compared with fingerstick blood glucose levels, which were measured using the Accuchek Inform II glucometer. Fifteen patients completed three 120-minute sessions. The mean absolute relative difference (MARD) was calculated. RESULTS: MARD values were compared between study days 2 and 3. The MARD for day 2 was 18.5% (95% CI, 12.8-42.2%), and the MARD for day 3 was 15.3% (95% CI, 12.3-18.4%). The difference in the MARD between days 2 and 3 was not statistically significant (P = .210). CONCLUSION: The resulting MARDs suggest that further investigation into the use of dielectric spectroscopy for glucose monitoring should be explored.

Weight-Based Insulin During and After Intravenous Insulin Infusion Reduces Rates of Rebound Hyperglycemia When Transitioning to Subcutaneous Insulin in the Medical Intensive Care Unit.

OBJECTIVE: Hyperglycemia often occurs after the transition from intravenous insulin infusion (IVII) to subcutaneous insulin. Weight-based basal insulin initiated earlier in the course of IVII in the medical intensive care unit (MICU), and a weight-based basal-bolus regimen after IVII, can potentially improve post-IVII glycemic control by 48 hours. METHODS: This prospective study included 69 patients in MICU who were on IVII for ≥24 hours. Exclusions were end-stage renal disease, type 1 diabetes mellitus, and the active use of vasopressors. The intervention group received weight-based basal insulin (0.2-0.25 units/kg) with IVII and weight-based bolus insulin after IVII. The control group received current care. The primary end points were glucose levels at specific time intervals up to 48 hours after IVII. RESULTS: There were 25 patients in the intervention group and 44 in the control group. The mean age of the patients was 59 ± 15 years, 32 (47%) were men, and 52 (78%) had prior diabetes mellitus. The 2 groups were not different (acute kidney injury/chronic kidney disease, pre-existing diabetes mellitus, illness severity, or nothing by mouth status after IVII), except for the steroid use, which was higher in the control group than in the intervention group (34% vs 12%, respectively). Glucose levels were not lower until 36 to 48 hours after IVII (166.8 ± 39.1 mg/dL vs 220.0 ± 82.9 mg/dL, P < .001). When controlling for body mass index, nutritional status, hemoglobin A1C, and steroid use, glucose level was lower starting at 12 to 24 hours out (166.87 mg/dL vs 207.50 mg/dL, P = .015). The frequency of hypoglycemia was similar between the 2 groups (5.0% vs 7.1%). The study did not reach target enrollment. CONCLUSION: The addition of weight-based basal insulin during, and basal-bolus insulin immediately after, IVII in MICU results in better glycemic control at 24 hours after IVII with no increased hypoglycemia.

Ketogenic diets in the management of type 1 diabetes: Safe or safety concern?

The jury is still out on whether a low-carbohydrate, ketosis-inducing diet is an effective and safe adjunctive therapy to insulin in type 1 diabetes. The limited published literature reports an association with weight loss and improved glycemic control and may, over the long-term, lead to reduced macrovascular and microvascular harm. However, the attendant increased risk of dyslipidemia, diabetic ketoacidosis, and hypoglycemia warrant caution, close monitoring of patients who embark on the diet, and further research.

Serum thyroid stimulating hormone level for predicting utility of thyroid uptake and scan.

BACKGROUND: Thyroid uptake and scan (TUS) is a clinical tool used for differentiation of thyrotoxicosis etiologies. Although guidelines recommend ordering a TUS for evaluation of low TSH levels, no specific value is defined. This study aimed to determine a TSH cutoff at which TUSs yield a greater likelihood of successful determination of etiology to avoid unnecessary testing. METHODS: This was a retrospective study on 137 patients seen by an endocrinologist who underwent TUS for evaluation of low TSH (<0.4 µU/mL). A receiver operating curve analysis was performed to determine the TSH cutoff with maximal sensitivity and specificity for prediction of diagnostic utility. RESULTS: Ninety percent of TUSs (n = 123) led to a diagnosis, while 10% (n = 14) were inconclusive or normal. Diagnoses included Graves' diseases (52%), toxic multinodular goiter (19%), thyroiditis (12%), and solitary toxic adenoma (7%). The median TSH value was 0.008 µU/mL (IQR 0.005, 0.011), and the median free T4 value was 1.7 µU/mL (IQR 1.3, 2.8). The ROC analysis produced an area under the curve of 0.86. The optimal TSH cutoff value was 0.02 µU/mL (sensitivity 80%, specificity 93%) for prediction of diagnostic yield. CONCLUSION: This study demonstrates that TSH is a useful predictor of the utility of TUS in yielding an etiology of thyrotoxicosis. Our analysis showed that TUS had a greater likelihood of determining an etiology when TSH was ≤0.02 µU/mL. This information can help clinicians avoid unnecessary cost and patient time burden when TUS is unlikely to aid in determining the etiology of thyrotoxicosis.

Hormonal Outcomes Following Hemithyroidectomy.

OBJECTIVE: To assess hormonal outcomes and thyroid hormone (TH) replacement after hemithyroidectomy (HT). STUDY DESIGN: Retrospective chart review. SETTING: Quaternary care hospital system. METHODS: A retrospective analysis was performed on patients who had an HT at Cleveland Clinic between 2000 and 2010 with outcomes assessed up to 5 years post-HT. Patients with overt hypothyroidism (OH; thyroid-stimulating hormone [TSH] >10 mIU/L, TSH >4.2 mIU/L on thyroid hormone [TH]), subclinical hypothyroidism (SH; TSH >4.2-10 mIU/L, no TH), or euthyroidism (EU; TSH 0.4-4.2 mIU/L, no TH) were compared. Patients with SH who returned to EU were compared to those who continued to have SH. For immediate start on TH, a receiver operating characteristic analysis was performed to determine dosage of TH above which suppression of TSH <0.4 mIU/L was predicted. RESULTS: We identified 335 patients (average age 51 years, 78% female, median follow-up of 50 months). Of the 210 not immediately started on TH, 32.4% were OH, 13.3% were SH, and 54.3% were EU. EU patients were younger (48 years), had more remaining gland, were less likely to have lymphocytic infiltrate, and had a lower preoperative TSH (1.2 mIU/L). In the SH group, 58.3% of patients normalized their TSH. With immediate TH start, 45% developed suppressed TSH. Those on LT4 >1.05 mcg/kg/d were more likely to suppress (sensitivity 89%). CONCLUSION: Most patients post-HT will remain EU, and immediate start of TH may lead to TSH suppression. Those with SH may ultimately normalize TSH. These findings together suggest that observation may be a better option than TH replacement after HT.

Mental health of orthopaedic trauma patients during the 2020 COVID-19 pandemic.

PURPOSE: The outbreak of the SARS-CoV-2 virus has been associated with reports of increased anxiety, depression and fear among the general population. People with underlying psychiatric disorders are more susceptible to stress than the general population. The purpose of this study was to determine the prevalence of concomitant psychiatric conditions in the orthopaedic trauma population during the COVID-19 pandemic. METHODS: This retrospective cohort study evaluated orthopaedic trauma patients who received care at our institution between February through April of 2019 and February through April of 2020. Patient sex, age, mechanism of injury, associated injuries, fracture location, tobacco use, employment status, mental health diagnosis and presence of interpersonal violence were documented. Mental health diagnoses were defined based on International Classification of Diseases-10 classification. RESULTS: The study included 553 orthopaedic patients evaluated at our institution during the defined time period. Patients in the 2020 cohort had a higher prevalence of mental health diagnoses (26% vs. 43%, p < 0.0001) compared with the 2019 group. The odds ratio for mental health disorder in the 2020 patients was 2.21 (95% CI 1.54, 3.18) compared with the 2019 cohort. The 2020 cohort had a higher percentage of patients who reported interpersonal violence (20% vs. 11%, p = 0.005). CONCLUSION: Our study showed a higher prevalence of psychiatric disease among orthopaedic trauma patients during the COVID-19 pandemic when compared with those seen during the same time of the year in 2019. Stress induced by the coronavirus pandemic can place patients with mental illness at a higher risk for perilous behaviours and subsequent fractures.

Prediction of Hypoglycemia By Quality of Life Measures: A Retrospective Analysis of Electronically Patient-Reported Data.

OBJECTIVE: We aimed to examine the utility of electronically patient-reported data (e-PRD) in exploring the risk of diabetes-related hypoglycemia and to evaluate hypoglycemia prediction by the quality of life (QoL) measures. METHODS: A retrospective analysis of e-PRD for patients with diabetes mellitus who completed the American Diabetes Association's Low Blood Sugar Questionnaire (Hypo-Q) and the Patient-Reported Outcomes Measurement Information System (PROMIS) for QoL assessment. Associations between Hypo-Q answers and PROMIS scores were described using Spearman correlations and 95% confidence intervals, or medians and quartiles. RESULTS: Records of 538 subjects were reviewed; 55% were female, 95% were non-Hispanic, with a mean age (± SD) of 53 ± 15 years. Patients with type 1 diabetes had a longer disease duration and more hypoglycemic episodes (P<.001) with higher PROMIS Physical and Mental T-scores (P<.001, both), when compared to patients with type 2 diabetes. The latter had a higher number of co-existing conditions. Having >5 episodes of either moderate or severe hypoglycemia in a year were reported by 18% and 5% of all patients, respectively. Mean PROMIS Physical and Mental health T-scores were 46 ± 10 and 47 ± 10, respectively. Patients with fewer moderate and severe hypoglycemic episodes had better Physical (P = .047 and P<.001) and Mental (P = .015 and P<.001) PROMIS T-scores with incremental decreases in the odds of hypoglycemia with each point increase in PROMIS T-scores. CONCLUSION: e-PRD of QoL measures and Hypo-Q were effective in exposing the risks for hypoglycemia and reproducing published findings with significant associations between QoL measures and hypoglycemia risks while providing new insights.

Impact of obesity on hospital complications and mortality in hospitalized patients with hyperglycemia and diabetes.

OBJECTIVE: Obesity is associated with increased risk of diabetes, hypertension and cardiovascular mortality. Several studies have reported increased length of hospital stay and complications; however, there are also reports of obesity having a protective effect on health, a phenomenon coined the 'obesity paradox'. We aimed to investigate the impact of overweight and obesity on complications and mortality in hospitalized patients with hyperglycemia and diabetes. RESEARCH DESIGN AND METHODS: This retrospective analysis was conducted on 29 623 patients admitted to two academic hospitals in Atlanta, Georgia, between January 2012 and December 2013. Patients were subdivided by body mass index into underweight (body mass index <18.5 kg/m(2)), normal weight (18.5-24.9 kg/m(2)), overweight (25-29.9 kg/m(2)) and obese (>30 kg/m(2)). Hyperglycemia was defined as a blood glucose >10 mmol/L during hospitalization. Hospital complications included a composite of pneumonia, acute myocardial infarction, respiratory failure, acute kidney injury, bacteremia and death. RESULTS: A total of 4.2% were underweight, 29.6% had normal weight, 30.2% were overweight, and 36% were obese. 27.2% of patients had diabetes and 72.8% did not have diabetes (of which 75% had hyperglycemia and 25% had normoglycemia during hospitalization). A J-shaped curve with higher rates of complications was observed in underweight patients in all glycemic groups; however, there was no significant difference in the rate of complications among normal weight, overweight, or obese patients, with and without diabetes or hyperglycemia. CONCLUSIONS: Underweight is an independent predictor for hospital complications. In contrast, increasing body mass index was not associated with higher morbidity or mortality, regardless of glycemic status. There was no evidence of an obesity paradox among inpatients with diabetes and hyperglycemia.

Report on Racial Disparities in Hospitalized Patients with Hyperglycemia and Diabetes.

CONTEXT: A higher prevalence of diabetes-related complications is reported in minority populations; however, it is not known if there are racial disparities in diabetes care and outcomes in hospitalized patients. OBJECTIVE: Our objective was to determine the association between hyperglycemia, in patients with and without diabetes mellitus (non-DM), and complications among different racial groups. DESIGN: This observational study compared the frequency of hyperglycemia (blood glucose ≥ 180 mg/dL; 10 mmol/L) and DM and hospital complications between Black and White patients hospitalized patients between January 2012 and December 2013. SETTING AND PARTICIPANTS: Adults admitted to medical and surgery services in two academic hospitals were included in this study. RESULTS: Among 35 866 patients, there were 14 387 Black (40.1%) and 21 479 White patients (59.9%). Blacks had a higher prevalence of hyperglycemia (42.3% vs 36.7%, P < .0001) and DM (34.5% vs 22.8%, P < .0001) and a higher admission rate and mean daily blood glucose (P < .001). Blacks also had higher rates of complications (22.2% vs 19.2%, P < .0001), both in patients with DM (24.7 vs 22.9%, P = .0413) and non-DM with hyperglycemia (41.2% vs 37.2%, P = .0019). Using sequential modelling adjusted for age, gender, body mass index, comorbidities, and insurance coverage, non-DM Blacks with normoglycemia (odds ratio, 1.22; 95% confidence interval, 1.10-1.35) and non-DM Blacks with hyperglycemia (odds ratio, 1.18; 95% confidence interval, 1.04-1.33) had higher number of complications compared to Whites. CONCLUSIONS: Black patients have higher rates of hyperglycemia and diabetes, worse inpatient glycemic control, and greater frequency of hospital complications compared to Whites. Non-DM Blacks with hyperglycemia are a particularly vulnerable group. Further investigation is needed to better understand factors contributing the racial disparities in the hospital.

The impact of hyperglycemia and obesity on hospitalization costs and clinical outcome in general surgery patients.

BACKGROUND: The impact of obesity on clinical outcomes and hospitalization costs in general surgery patients with and without diabetes (DM) is unknown. MATERIALS AND METHODS: We reviewed medical records of 2451 patients who underwent gastrointestinal surgery at two university hospitals. Hyperglycemia was defined as BG ≥140 mg/dl. Overweight was defined by body mass index (BMI) between 25-29.9 kg/m(2) and obesity as a BMI ≥30 kg/m(2). Hospital cost was calculated using cost-charge ratios from Centers for Medicare and Medicaid Services. Hospital complications included a composite of major cardiovascular events, pneumonia, bacteremia, acute kidney injury (AKI), respiratory failure, and death. RESULTS: Hyperglycemia was present in 1575 patients (74.8%). Compared to patients with normoglycemia, those with DM and non-DM with hyperglycemia had higher number of complications (8.9% vs. 35.8% vs. 30.0%, p<0.0001), longer hospital stay (5 days vs. 9 days vs. 9 days, p<0.0001), more readmissions within 30 days (9.3% vs. 18.8% vs. 17.2%, p<0.0001), and higher hospitalization costs ($20,273 vs. $79,545 vs. $72,675, p<0.0001). In contrast, compared to normal-weight subjects, overweight and obesity were not associated with increased hospitalization costs ($58,313 vs. $58,173 vs. $66,633, p=0.74) or risk of complications, except for AKI (11.9% vs. 14.8% vs. 20.5%, p<0.0001). Multivariate analysis revealed that DM (OR=4.4, 95% CI=2.8,7.0) or perioperative hyperglycemia (OR=4.1, 95% CI=2.7-6.2) were independently associated with increased risk of complications. CONCLUSION: Hyperglycemia but not increasing BMI, in patients with and without diabetes undergoing gastrointestinal surgery was associated with a higher number of complications and hospitalization costs.