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C-Reactive Protein Is an Independent Predictor of Risk for the Development of Diabetes in the West of Scotland Coronary Prevention Study

Dilys J. Freeman
May 1, 2002; 51:1596-1600
Complications




edi

The Effect of Thiazolidinediones on Plasma Adiponectin Levels in Normal, Obese, and Type 2 Diabetic Subjects

Joseph G. Yu
Oct 1, 2002; 51:2968-2974
Obesity Studies




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Thiazolidinediones in the Treatment of Insulin Resistance and Type II Diabetes

Alan R Saltiel
Dec 1, 1996; 45:1661-1669
Perspectives in Diabetes




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Evidence for 5'AMP-Activated Protein Kinase Mediation of the Effect of Muscle Contraction on Glucose Transport

Tatsuya Hayashi
Aug 1, 1998; 47:1369-1373
Rapid Publications




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Elevated Levels of Acute-Phase Proteins and Plasminogen Activator Inhibitor-1 Predict the Development of Type 2 Diabetes: The Insulin Resistance Atherosclerosis Study

Andreas Festa
Apr 1, 2002; 51:1131-1137
Complications




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PPAR-gamma: adipogenic regulator and thiazolidinedione receptor

BM Spiegelman
Apr 1, 1998; 47:507-514
Articles




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Predictive Modeling of Type 1 Diabetes Stages Using Disparate Data Sources

This study aims to model genetic, immunologic, metabolomics, and proteomic biomarkers for development of islet autoimmunity (IA) and progression to type 1 diabetes in a prospective high-risk cohort. We studied 67 children: 42 who developed IA (20 of 42 progressed to diabetes) and 25 control subjects matched for sex and age. Biomarkers were assessed at four time points: earliest available sample, just prior to IA, just after IA, and just prior to diabetes onset. Predictors of IA and progression to diabetes were identified across disparate sources using an integrative machine learning algorithm and optimization-based feature selection. Our integrative approach was predictive of IA (area under the receiver operating characteristic curve [AUC] 0.91) and progression to diabetes (AUC 0.92) based on standard cross-validation (CV). Among the strongest predictors of IA were change in serum ascorbate, 3-methyl-oxobutyrate, and the PTPN22 (rs2476601) polymorphism. Serum glucose, ADP fibrinogen, and mannose were among the strongest predictors of progression to diabetes. This proof-of-principle analysis is the first study to integrate large, diverse biomarker data sets into a limited number of features, highlighting differences in pathways leading to IA from those predicting progression to diabetes. Integrated models, if validated in independent populations, could provide novel clues concerning the pathways leading to IA and type 1 diabetes.




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World Bank predicts sharpest decline of remittances to Caribbean

WASHINGTON, CMC – The World Bank has predicted the sharpest decline of remittances to Latin America and the Caribbean, saying that global remittances on a whole are projected to fall by about 20 percent in 2020 due to the economic crisis...




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Rotating night shift work and adherence to unhealthy lifestyle in predicting risk of type 2 diabetes: results from two large US cohorts of female nurses




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Obesity: medical leaders call for end to “stigmatising” language




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Predicting the Reds' Opening Day roster

Here's an early look at how the Reds' 25-man roster could shape up on Opening Day.




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Effects of Pioglitazone on Glucose-Dependent Insulinotropic Polypeptide-Mediated Insulin Secretion and Adipocyte Receptor Expression in Patients With Type 2 Diabetes

Incretin hormone dysregulation contributes to reduced insulin secretion and hyperglycemia in patients with type 2 diabetes mellitus (T2DM). Resistance to glucose-dependent insulinotropic polypeptide (GIP) action may occur through desensitization or downregulation of β-cell GIP receptors (GIP-R). Studies in rodents and cell lines show GIP-R expression can be regulated through peroxisome proliferator–activated receptor (PPAR) response elements (PPREs). Whether this occurs in humans is unknown. To test this, we conducted a randomized, double-blind, placebo-controlled trial of pioglitazone therapy on GIP-mediated insulin secretion and adipocyte GIP-R expression in subjects with well-controlled T2DM. Insulin sensitivity improved, but the insulinotropic effect of infused GIP was unchanged following 12 weeks of pioglitazone treatment. In parallel, we observed increased GIP-R mRNA expression in subcutaneous abdominal adipocytes from subjects treated with pioglitazone. Treatment of cultured human adipocytes with troglitazone increased PPAR binding to GIP-R PPREs. These results show PPAR agonists regulate GIP-R expression through PPREs in human adipocytes, but suggest this mechanism is not important for regulation of the insulinotropic effect of GIP in subjects with T2DM. Because GIP has antilipolytic and lipogenic effects in adipocytes, the increased GIP-R expression may mediate accretion of fat in patients with T2DM treated with PPAR agonists.




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Predicting the D-backs' Opening Day roster

Here's an early look at how the D-backs' 25-man roster could shape up on Opening Day.




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Predictive Value of 18F-Florbetapir and 18F-FDG PET for Conversion from Mild Cognitive Impairment to Alzheimer Dementia

The present study examined the predictive values of amyloid PET, 18F-FDG PET, and nonimaging predictors (alone and in combination) for development of Alzheimer dementia (AD) in a large population of patients with mild cognitive impairment (MCI). Methods: The study included 319 patients with MCI from the Alzheimer Disease Neuroimaging Initiative database. In a derivation dataset (n = 159), the following Cox proportional-hazards models were constructed, each adjusted for age and sex: amyloid PET using 18F-florbetapir (pattern expression score of an amyloid-β AD conversion–related pattern, constructed by principle-components analysis); 18F-FDG PET (pattern expression score of a previously defined 18F-FDG–based AD conversion–related pattern, constructed by principle-components analysis); nonimaging (functional activities questionnaire, apolipoprotein E, and mini-mental state examination score); 18F-FDG PET + amyloid PET; amyloid PET + nonimaging; 18F-FDG PET + nonimaging; and amyloid PET + 18F-FDG PET + nonimaging. In a second step, the results of Cox regressions were applied to a validation dataset (n = 160) to stratify subjects according to the predicted conversion risk. Results: On the basis of the independent validation dataset, the 18F-FDG PET model yielded a significantly higher predictive value than the amyloid PET model. However, both were inferior to the nonimaging model and were significantly improved by the addition of nonimaging variables. The best prediction accuracy was reached by combining 18F-FDG PET, amyloid PET, and nonimaging variables. The combined model yielded 5-y free-of-conversion rates of 100%, 64%, and 24% for the low-, medium- and high-risk groups, respectively. Conclusion: 18F-FDG PET, amyloid PET, and nonimaging variables represent complementary predictors of conversion from MCI to AD. Especially in combination, they enable an accurate stratification of patients according to their conversion risks, which is of great interest for patient care and clinical trials.




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SNMMI Leadership Update: To the SNMMI-TS: Congratulations on 50 Years of Dedicated Service to SNMMI and Your Patients




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Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal




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Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review




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Webinar: The UK's Unpredictable General Election?

Members Event Webinar

19 November 2019 - 11:30am to 12:00pm

Chatham House | 10 St James's Square | London | SW1Y 4LE

Event participants

Professor Matthew Goodwin, Visiting Senior Fellow, Europe Programme, Chatham House
Professor David Cutts, Associate Fellow, Europe Programme, Chatham House

On 12 December 2019, the United Kingdom will go to the polls in a fifth nationwide vote in only four years. This is expected to be one of the most unpredictable general elections in the nation’s post-war history with the anti-Brexit Liberal Democrats and Nigel Farage’s Eurosceptic Brexit Party both presenting a serious challenge to the UK’s established two-party system.

This webinar will discuss the UK general election and will unpack some of the reasons behind its supposed unpredictability. To what extent will this be a Brexit election and what are the other issues at the forefront of voters’ minds? And will the outcome of the election give us a clear indication of the UK’s domestic, European and wider international political trajectory?

Please note, this event is online only. Members can watch webinars from a computer or another internet-ready device and do not need to come to Chatham House to attend.




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Security Challenges in the Mediterranean Region

Members Event

5 March 2020 - 1:00pm to 2:00pm

Chatham House | 10 St James's Square | London | SW1Y 4LE

Event participants

HE George Vella, President, Republic of Malta

Chair: Dr Alex Vines OBE, Managing Director, Ethics, Risk & Resilience; Director, Africa Programme, Chatham House

The president of Malta discusses the current security challenges in the Mediterranean region, reflecting on the role of international cooperation in addressing climate change, migration and refugee flows.

Members Events Team




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Seven days in medicine: 23-29 November 2016




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Anti-bullying programme is launched by orthopaedic trainees




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Covid-19’s impact on US medical research—shifting money, easing rules




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Covid-19: Lack of capacity led to halting of community testing in March, admits deputy chief medical officer




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The histone H4 basic patch regulates SAGA-mediated H2B deubiquitination and histone acetylation [DNA and Chromosomes]

Histone H2B monoubiquitylation (H2Bub1) has central functions in multiple DNA-templated processes, including gene transcription, DNA repair, and replication. H2Bub1 also is required for the trans-histone regulation of H3K4 and H3K79 methylation. Although previous studies have elucidated the basic mechanisms that establish and remove H2Bub1, we have only an incomplete understanding of how H2Bub1 is regulated. We report here that the histone H4 basic patch regulates H2Bub1. Yeast cells with arginine-to-alanine mutations in the H4 basic patch (H42RA) exhibited a significant loss of global H2Bub1. H42RA mutant yeast strains also displayed chemotoxin sensitivities similar to, but less severe than, strains containing a complete loss of H2Bub1. We found that the H4 basic patch regulates H2Bub1 levels independently of interactions with chromatin remodelers and separately from its regulation of H3K79 methylation. To measure H2B ubiquitylation and deubiquitination kinetics in vivo, we used a rapid and reversible optogenetic tool, the light-inducible nuclear exporter, to control the subcellular location of the H2Bub1 E3 ligase, Bre1. The ability of Bre1 to ubiquitylate H2B was unaffected in the H42RA mutant. In contrast, H2Bub1 deubiquitination by SAGA-associated Ubp8, but not by Ubp10, increased in the H42RA mutant. Consistent with a function for the H4 basic patch in regulating SAGA deubiquitinase activity, we also detected increased SAGA-mediated histone acetylation in H4 basic patch mutants. Our findings uncover that the H4 basic patch has a regulatory function in SAGA-mediated histone modifications.




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Randomized Study to Evaluate the Impact of Telemedicine Care in Patients With Type 1 Diabetes With Multiple Doses of Insulin and Suboptimal HbA1c in Andalusia (Spain): PLATEDIAN Study

OBJECTIVE

To assess the impact of a telemedicine visit using the platform Diabetic compared with a face-to-face visit on clinical outcomes, patients’ health-related quality of life (HRQoL), and physicians’ satisfaction in patients with type 1 diabetes.

RESEARCH DESIGN AND METHODS

PLATEDIAN (Telemedicine on Metabolic Control in Type 1 Diabetes Mellitus Andalusian Patients) (NCT03332472) was a multicenter, randomized, 6-month follow-up, open-label, parallel-group controlled study performed in patients with type 1 diabetes with suboptimal metabolic control (HbA1c <8% [<64 mmol/mol]), treated with multiple daily injections. A total of 388 patients were assessed for eligibility; 379 of them were randomized 1:1 to three face-to-face visits (control cohort [CC]) (n = 167) or the replacement of an intermediate face-to-face visit by a telemedicine visit using Diabetic (intervention cohort [IC]) (n = 163). The primary efficacy end point was the mean change of HbA1c levels from baseline to month 6. Other efficacy and safety end points were mean blood glucose, glucose variability, episodes of hypoglycemia and hyperglycemia, patient-reported outcomes, and physicians’ satisfaction.

RESULTS

At month 6, the mean change in HbA1c levels was –0.04 ± 0.5% (–0.5 ± 5.8 mmol/mol) in the CC and 0.01 ± 0.6% (0.1 ± 6.0 mmol/mol) in the IC (P = 0.4941). The number of patients who achieved HbA1c <7% (<53 mmol/mol) was 73 and 78 in the CC and IC, respectively. Significant differences were not found regarding safety end points at 6 months. Changes in HRQoL between the first visit and final visit did not differ between cohorts, and, regarding fear of hypoglycemia (FH-15 score ≥28), statistically significant differences observed at baseline remained unchanged at 6 months (P < 0.05).

CONCLUSIONS

The use of telemedicine in patients with type 1 diabetes with HbA1c <8% (<64 mmol/mol) provides similar efficacy and safety outcomes as face-to-face visits.




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Medical Nutrition Therapy: A Key to Diabetes Management and Prevention

Sara F. Morris
Dec 1, 2010; 28:12-18
Feature Articles




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Standards of Medical Care in Diabetes--2018 Abridged for Primary Care Providers

American Diabetes Association
Jan 1, 2018; 36:14-37
Position Statements




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Standards of Medical Care in Diabetes--2019 Abridged for Primary Care Providers

American Diabetes Association
Jan 1, 2019; 37:11-34
Position Statements




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Standards of Medical Care in Diabetes--2020 Abridged for Primary Care Providers

American Diabetes Association
Jan 1, 2020; 38:10-38
Standards of Care




edi

Mortality Implications of Prediabetes and Diabetes in Older Adults

OBJECTIVE

Diabetes in older age is heterogeneous, and the treatment approach varies by patient characteristics. We characterized the short-term all-cause and cardiovascular mortality risk associated with hyperglycemia in older age.

RESEARCH DESIGN AND METHODS

We included 5,791 older adults in the Atherosclerosis Risk in Communities Study who attended visit 5 (2011–2013; ages 66–90 years). We compared prediabetes (HbA1c 5.7% to <6.5%), newly diagnosed diabetes (HbA1c ≥6.5%, prior diagnosis <1 year, or taking antihyperglycemic medications <1 year), short-duration diabetes (duration ≥1 year but <10 years [median]), and long-standing diabetes (duration ≥10 years). Outcomes were all-cause and cardiovascular mortality (median follow-up of 5.6 years).

RESULTS

Participants were 58% female, and 24% had prevalent cardiovascular disease. All-cause mortality rates, per 1,000 person-years, were 21.2 (95% CI 18.7, 24.1) among those without diabetes, 23.7 (95% CI 20.8, 27.1) for those with prediabetes, 33.8 (95% CI 25.2, 45.5) among those with recently diagnosed diabetes, 29.6 (95% CI 25.0, 35.1) for those with diabetes of short duration, and 48.6 (95% CI 42.4, 55.7) for those with long-standing diabetes. Cardiovascular mortality rates, per 1,000 person-years, were 5.8 (95% CI 4.6, 7.4) among those without diabetes, 6.6 (95% CI 5.2, 8.5) for those with prediabetes, 11.5 (95% CI 7.0, 19.1) among those with recently diagnosed diabetes, 8.2 (95% CI 5.9, 11.3) for those with diabetes of short duration, and 17.3 (95% CI 13.8, 21.7) for those with long-standing diabetes. After adjustment for other cardiovascular risk factors, prediabetes and newly diagnosed diabetes were not significantly associated with a higher risk of all-cause mortality (hazard ratio [HR] 1.03 [95% CI 0.85, 1.23] and HR 1.31 [95% CI 0.94, 1.82], respectively) or cardiovascular mortality (HR 1.00 [95% CI 0.70, 1.43] and HR 1.35 [95% CI 0.74, 2.49], respectively). Excess mortality risk was primarily concentrated among those with long-standing diabetes (all-cause: HR 1.71 [95% CI 1.40, 2.10]; cardiovascular: HR 1.72 [95% CI 1.18, 2.51]).

CONCLUSIONS

In older adults, long-standing diabetes has a substantial and independent effect on short-term mortality. Older individuals with prediabetes remained at low mortality risk over a median 5.6 years of follow-up.




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Within-Trial Evaluation of Medical Resources, Costs, and Quality of Life Among Patients With Type 2 Diabetes Participating in the Exenatide Study of Cardiovascular Event Lowering (EXSCEL)

OBJECTIVE

To compare medical resource use, costs, and health utilities for 14,752 patients with type 2 diabetes who were randomized to once-weekly exenatide (EQW) or placebo in addition to usual diabetes care in the Exenatide Study of Cardiovascular Event Lowering (EXSCEL).

RESEARCH DESIGN AND METHODS

Medical resource use data and responses to the EuroQol 5-Dimension (EQ-5D) instrument were collected at baseline and throughout the trial. Medical resources and medications were assigned values by using U.S. Medicare payments and wholesale acquisition costs, respectively. Secondary analyses used English costs.

RESULTS

Patients were followed for an average of 3.3 years, during which time those randomized to EQW experienced 0.41 fewer inpatient days (7.05 vs. 7.46 days; relative rate ratio 0.91; P = 0.05). Rates of outpatient medical visits were similar, as were total inpatient and outpatient costs. Mean costs for nonstudy diabetes medications over the study period were ~$1,600 lower with EQW than with placebo (P = 0.01). Total within-study costs, excluding study medication, were lower in the EQW arm than in the placebo arm ($28,907 vs. $30,914; P ≤ 0.01). When including the estimated cost of EQW, total mean costs were significantly higher in the EQW group than in the placebo group ($42,697 vs. $30,914; P < 0.01). With English costs applied, mean total costs, including exenatide costs, were £1,670 higher in the EQW group than the placebo group (£10,874 vs. £9,204; P < 0.01). There were no significant differences in EQ-5D health utilities between arms over time.

CONCLUSIONS

Medical costs were lower in the EQW arm than the placebo arm, but total costs were significantly higher once the cost of branded exenatide was incorporated.




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Plasma Lipidome and Prediction of Type 2 Diabetes in the Population-Based Malmo&#x0308; Diet and Cancer Cohort

OBJECTIVE

Type 2 diabetes mellitus (T2DM) is associated with dyslipidemia, but the detailed alterations in lipid species preceding the disease are largely unknown. We aimed to identify plasma lipids associated with development of T2DM and investigate their associations with lifestyle.

RESEARCH DESIGN AND METHODS

At baseline, 178 lipids were measured by mass spectrometry in 3,668 participants without diabetes from the Malmö Diet and Cancer Study. The population was randomly split into discovery (n = 1,868, including 257 incident cases) and replication (n = 1,800, including 249 incident cases) sets. We used orthogonal projections to latent structures discriminant analyses, extracted a predictive component for T2DM incidence (lipid-PCDM), and assessed its association with T2DM incidence using Cox regression and lifestyle factors using general linear models.

RESULTS

A T2DM-predictive lipid-PCDM derived from the discovery set was independently associated with T2DM incidence in the replication set, with hazard ratio (HR) among subjects in the fifth versus first quintile of lipid-PCDM of 3.7 (95% CI 2.2–6.5). In comparison, the HR of T2DM among obese versus normal weight subjects was 1.8 (95% CI 1.2–2.6). Clinical lipids did not improve T2DM risk prediction, but adding the lipid-PCDM to all conventional T2DM risk factors increased the area under the receiver operating characteristics curve by 3%. The lipid-PCDM was also associated with a dietary risk score for T2DM incidence and lower level of physical activity.

CONCLUSIONS

A lifestyle-related lipidomic profile strongly predicts T2DM development beyond current risk factors. Further studies are warranted to test if lifestyle interventions modifying this lipidomic profile can prevent T2DM.




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Health Care Expenditures Among Adults With Diabetes After Oregons Medicaid Expansion

OBJECTIVE

To compare trends in Medicaid expenditures among adults with diabetes who were newly eligible due to the Affordable Care Act (ACA) Medicaid expansion to trends among those previously eligible.

RESEARCH DESIGN AND METHODS

Using Oregon Medicaid administrative data from 1 January 2014 to 30 September 2016, a retrospective cohort study was conducted with propensity score–matched Medicaid eligibility groups (newly and previously eligible). Outcome measures included total per-member per-month (PMPM) Medicaid expenditures and PMPM expenditures in the following 12 categories: inpatient visits, emergency department visits, primary care physician visits, specialist visits, prescription drugs, transportation services, tests, imaging and echography, procedures, durable medical equipment, evaluation and management, and other or unknown services.

RESULTS

Total PMPM Medicaid expenditures for newly eligible enrollees with diabetes were initially considerably lower compared with PMPM expenditures for matched previously eligible enrollees during the first postexpansion quarter (mean values $561 vs. $793 PMPM, P = 0.018). Within the first three postexpansion quarters, PMPM expenditures of the newly eligible increased to a similar but slightly lower level. Afterward, PMPM expenditures of both groups continued to increase steadily. Most of the overall PMPM expenditure increase among the newly eligible was due to rapidly increasing prescription drug expenditures.

CONCLUSIONS

Newly eligible Medicaid enrollees with diabetes had slightly lower PMPM expenditures than previously eligible Medicaid enrollees. The increase in PMPM prescription drug expenditures suggests greater access to treatment over time.




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New Insulin Glargine 300 Units/mL Versus Glargine 100 Units/mL in People With Type 2 Diabetes Using Oral Agents and Basal Insulin: Glucose Control and Hypoglycemia in a 6-Month Randomized Controlled Trial (EDITION 2)

Hannele Yki-Järvinen
Dec 1, 2014; 37:3235-3243
Emerging Technologies and Therapeutics




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Personalized Management of Hyperglycemia in Type 2 Diabetes: Reflections from a Diabetes Care Editors' Expert Forum

Itamar Raz
Jun 1, 2013; 36:1779-1788
Diabetes Care Expert Forum




edi

New Insulin Glargine 300 Units/mL Versus Glargine 100 Units/mL in People With Type 2 Diabetes Using Basal and Mealtime Insulin: Glucose Control and Hypoglycemia in a 6-Month Randomized Controlled Trial (EDITION 1)

Matthew C. Riddle
Oct 1, 2014; 37:2755-2762
Emerging Technologies and Therapeutics




edi

Increased Carotid Intima-Media Thickness and Stiffness in Obese Children

Arcangelo Iannuzzi
Oct 1, 2004; 27:2506-2508
Brief Reports




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Cardiovascular Outcomes Trials in Type 2 Diabetes: Where Do We Go From Here? Reflections From a Diabetes Care Editors Expert Forum

William T. Cefalu
Jan 1, 2018; 41:14-31
Diabetes Care Expert Forum




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Intensive Diabetes Treatment and Cardiovascular Outcomes in Type 1 Diabetes: The DCCT/EDIC Study 30-Year Follow-up

The Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Group
May 1, 2016; 39:686-693
Cardiovascular Disease and Diabetes




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Effect of a Lifestyle Intervention Program With Energy-Restricted Mediterranean Diet and Exercise on Weight Loss and Cardiovascular Risk Factors: One-Year Results of the PREDIMED-Plus Trial

Jordi Salas-Salvadó
May 1, 2019; 42:777-788
Continuing Evolution of Nutritional Therapy for Diabetes




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Professional Practice Committee: Standards of Medical Care in Diabetes--2019


Jan 1, 2019; 42:S3-S3
Professional Practice Committee




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Disclosures: Standards of Medical Care in Diabetes--2020


Jan 1, 2020; 43:S205-S206
Disclosures




edi

Cardiovascular Outcomes Trials in Type 2 Diabetes: Where Do We Go From Here? Reflections From a Diabetes Care Editors Expert Forum

William T. Cefalu
Jan 1, 2018; 41:14-31
Diabetes Care Expert Forum




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Professional Practice Committee: Standards of Medical Care in Diabetes--2020


Jan 1, 2020; 43:S3-S3
Professional Practice Committee




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Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report

Alison B. Evert
May 1, 2019; 42:731-754
Continuing Evolution of Nutritional Therapy for Diabetes




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Respective Contributions of Glycemic Variability and Mean Daily Glucose as Predictors of Hypoglycemia in Type 1 Diabetes: Are They Equivalent?

OBJECTIVE

To evaluate the respective contributions of short-term glycemic variability and mean daily glucose (MDG) concentration to the risk of hypoglycemia in type 1 diabetes.

RESEARCH DESIGN AND METHODS

People with type 1 diabetes (n = 100) investigated at the University Hospital of Montpellier (France) underwent continuous glucose monitoring (CGM) on two consecutive days, providing a total of 200 24-h glycemic profiles. The following parameters were computed: MDG concentration, within-day glycemic variability (coefficient of variation for glucose [%CV]), and risk of hypoglycemia (presented as the percentage of time spent below three glycemic thresholds: 3.9, 3.45, and 3.0 mmol/L).

RESULTS

MDG was significantly higher, and %CV significantly lower (both P < 0.001), when comparing the 24-h glycemic profiles according to whether no time or a certain duration of time was spent below the thresholds. Univariate regression analyses showed that MDG and %CV were the two explanatory variables that entered the model with the outcome variable (time spent below the thresholds). The classification and regression tree procedure indicated that the predominant predictor for hypoglycemia was %CV when the threshold was 3.0 mmol/L. In people with mean glucose ≤7.8 mmol/L, the time spent below 3.0 mmol/L was shortest (P < 0.001) when %CV was below 34%.

CONCLUSIONS

In type 1 diabetes, short-term glycemic variability relative to mean glucose (i.e., %CV) explains more hypoglycemia than does mean glucose alone when the glucose threshold is 3.0 mmol/L. Minimizing the risk of hypoglycemia requires a %CV below 34%.




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ADA opposes CMS’ Medicaid block grant guidance

The ADA said it believes a new policy from the Centers for Medicare and Medicaid could be “detrimental” to the millions of adults who rely on Medicaid for dental care.




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Free ADA webinar to help dentists with social media marketing

The ADA is hosting a free webinar in March on how to effectively advertise and market services and dental practices on Facebook and Instagram.




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Oral medicine recognized as a dental specialty

Oral medicine becomes the 11th dental specialty recognized by the National Commission on Recognition of Dental Specialties and Certifying Boards. The recognition comes after the National Commission on March 2 adopted a resolution based on an application from the American Academy of Oral Medicine to recognized oral medicine as a dental specialty.




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AADEJ to host dental editing workshop in Anaheim

Anaheim, Calif. — The American Association of Dental Editors & Journalists is hosting Dental Editors University West May 14-15 at the Anaheim Hilton in Anaheim, California.