A1c Measurement Research Articles

Diagnostic performance of hypoechoic perinephric fat as a predictor of prediabetes and diabetes.

To evaluate prevalence and predictive value of hypoechoic perinephric fat (HPF) in patients with prediabetes and diabetes compared to non-diabetics. Of 240 patients with renal ultrasound and hemoglobin A1c (HbA1c) measurements, 114 patients had either prediabetes (HbA1c 5.7-6.4%) or diabetes (HbA1c ≥ 6.5%), and 126 patients did not. Two radiologists (blinded to diagnosis) reviewed images and discrepancies were resolved by a third. Inter-reader agreement was compared using free-marginal kappa and intraclass correlation coefficient. Fisher's exact test, Mann-Whitney test, multivariable logistic regression, and Spearman's rank correlation test with two-tailed p < 0.05 were used to determine statistical significance. HPF was exclusively identified in prediabetic and diabetic patients with a prevalence of 23% (vs 0%; p < 0.001). Identification of HPF had almost perfect inter-reader agreement (k = 0.94) and was statistically significant (p = 0.034) while controlling for body mass index (BMI) and estimated glomerular filtration rate in multivariable analysis. HPF had extremely high specificity and positive predictive value (100% for both) in patients with prediabetes and diabetes although it was not a sensitive finding (23% sensitivity). In patients with prediabetes and diabetes, those with HPF were statistically significantly more likely to have chronic kidney disease (CKD) (p = 0.003). There was no statistically significant difference in BMI, stages of CKD, and types of diabetes. Hypoechoic perirenal fat has almost perfect inter-reader agreement and is highly specific for and predictive of prediabetes and diabetes. Its presence may also help identify those with chronic kidney disease among prediabetic and diabetic patients.

Impact of Cigarette Smoking and Its Interaction with Hypertension and Diabetes on Cognitive Function in Older Americans.

The detrimental impact of tobacco smoking on brain health is well recognized. To evaluate whether smoking acts synergistically with hypertension and diabetes to influence cognitive performance. We performed a cross-sectional analysis using the US National Health and Nutrition Examination Survey. Participants were tested for serum cotinine, a validated cigarette smoking/exposure biomarker, and had standardized blood pressure and hemoglobin A1c measurements. Participants were administered four cognitive tests: Digit Symbol Substitution (DSST), Animal Fluency, Immediate Recall, and Delayed Recall. Multivariable linear regression models adjusted for demographics and confounders evaluated the association of cotinine with cognition. Interaction testing evaluated effect modification by hypertension, diabetes, and their continuous measures (systolic blood pressure and hemoglobin A1c). For 3,007 participants, mean age was 69.4 years; 54% were women. Using cotinine levels, 14.9% of participants were categorized as active smokers. Higher cotinine levels were associated with worse DSST performance when modeling cotinine as a continuous variable (β, -0.70; 95% CI, -1.11, -0.29; p < 0.01) and when categorizing participants as active smokers (β, -5.63; 95% CI, -9.70, -1.56; p < 0.01). Cotinine was not associated with fluency or memory. Effect modification by hypertension and diabetes were absent, except that cotinine was associated with worse Immediate Recall at lower blood pressures. Higher levels of a smoking and secondhand exposure biomarker were associated with worse cognitive performance on a multidomain test. Overall, the relationship of cotinine with cognition was not contingent on or amplified by hypertension or diabetes; smoking is detrimental for brain health irrespective of these comorbidities.

Can hyperglycemia be associated with caries activity and root caries in adults?

AimsA previous meta-analysis showed that individuals with Type 2 diabetes mellitus (T2D) have a greater chance of developing both coronal caries and root caries than systemically healthy ones, which can be influenced by hyperglycemia per se. This study aimed to associate blood and salivary glucose levels with caries. MethodsThis research is a subset of a cross-sectional study. N = 39 individuals underwent a dental examination and salivary glucose, fasting blood glucose (FBG) and glycated hemoglobin (A1c) measurements. ResultsThe prevalence of active coronal caries was 10.2%, and that of root caries was 20.5%. A1c and FBG averages were higher in individuals with root caries (9.75 ± 1.71 and 186.3 ± 62.5) than without (7.01 ± 2.23 and 115.1 ± 48.6; p < 0.05). Individuals with T2D showed weak correlation of salivary glucose and number of active coronal caries. Significant correlations were observed between salivary and blood glucose. There was relevance of A1c (0.53; CI=0.124–0.941; p = 0.01) and FBG (0.019; CI=0.006–0.033; p = 0.006) toward the increased number of root caries lesions, even after adjustment for salivary flow and age. ConclusionBlood glucose levels are associated with an increased number of root caries in adults with or without T2D. In individuals with T2D, salivary glucose was correlated with active coronal caries. Additional studies are needed to support this association.

A New Look at Barriers to Clinical Care Among Appalachian Residents Living With Diabetes.

In the United States, diabetes is the seventh leading cause of death and continues to rise in prevalence, with type 2 diabetes accounting for 90-95% of all cases. Rates of diabetes in Kentucky, and, in particular, the Appalachian region, are among the highest in the nation and are increasing faster than the national average. Despite this disproportionate burden, barriers to clinical appointment attendance have not been fully explored in this population. This article examines the association among perceived barriers to clinical attendance, glycemic control, and diabetes self-care as part of an ongoing study. We used a 25-item checklist developed using the Chronic Care Model to assess participants' barriers to clinic attendance. Glycemic control was assessed via A1C measurement. Diabetes self-care was assessed using the Summary of Diabetes Self-Care Activities measure. At the time of analysis, 123 of the 356 participants (34.6%) did not report any barriers to clinic attendance. For the remainder, the major reported barriers included forgetting appointments, inability to afford medicines or other treatment, and placing faith above medical care. The average A1C was 7.7%, and the average diabetes self-care summary score was 17.1 out of 35 points (with higher values indicating better self-care). Missing clinic appointments is associated with lower health outcomes, especially in vulnerable populations. This study can help educate clinic staff on perceived barriers to type 2 diabetes management among people with diabetes in Appalachia.

Glucose profiles of older adults with type 1 diabetes using sensor-augmented pump therapy in Australia: pre-randomisation results from the ORACL study

Older adults with type 1 diabetes are recommended modified glucose targets. However, data on the effects of diabetes technology in older age are scarce. We assessed older adults established on sensor-augmented insulin pump therapy during clinical trial run-in and compared their continuous glucose monitoring (CGM) profiles with consensus recommendations. We aimed to provide insight into the applicability of currently recommended CGM-based targets while accounting for current Diabetes UK guidelines. In this analysis, adults aged 60 years or older with type 1 diabetes with a duration of at least 10 years and entering the Older Adult Closed Loop (ORACL) trial were studied. The trial was done at two tertiary hospitals in Australia. Individuals who were independent with diabetes self-management, as well as those receiving caregiver assistance for their diabetes management, were eligible for inclusion. Participants underwent baseline clinical assessment, which included medical history and examination, testing for frailty, functional ability, cognitive functioning, psychosocial wellbeing, and subjective sleep quality; fasting venous blood samples were collected for C-peptide, glucose, and glycated haemoglobin A1c measurement. Sensor-augmented pumps, carbohydrate-counting education, and diabetes education were provided to participants by diabetes nurse educators, dietitians, and endocrinologists experienced in type 1 diabetes clinical care. CGM data were subsequently collected for 2 weeks during sensor-augmented pump therapy. The ORACL trial is registered with the Australian New Zealand Clinical Trial Registry, ACTRN12619000515190. Our analysis included all 30 participants who completed the ORACL trial run-in-19 (63%) women and 11 (37%) men (mean age 67 years [SD 5], median diabetes duration 38 years [IQR 20-47], and insulin total daily dose 0·55 units [0·41-0·66] per kg bodyweight). Ten (33%) of 30 participants had impaired hypoglycaemia awareness and six (20%) were pre-frail; none were frail. The median CGM time in range 3·9-10·0 mmol/L was 71% (IQR 64-79). The time spent with glucose above 10·0 mmol/L was 27% (18-35) and above 13·9 mmol/L was 3·9% (2·4-10·2). The time with glucose below 3·9 mmol/L was 2·0% (1·2-3·1) and the time below 3·0 mmol/L was 0·2% (0·1-0·4). Only two (7%) of 30 participants met all CGM-based consensus recommendations modified for older adults. Time in hypoglycaemia was lower among the 16 participants with predictive low-glucose alerts enabled than among the 14 participants not using predictive low-glucose alerts (median difference -1·1 percentage points [95% CI -2·0 to -0·1]; p=0·038). This difference was even greater overnight (-2·3 percentage points [-3·2 to -1·0]; p=0·0018). One serious adverse event occurred (elective cardiac stent). Using sensor-augmented pumps after multidisciplinary education, this group of older adults without frailty achieved a time in range far exceeding minimum consensus recommendations. However, the current stringent hypoglycaemia recommendations for all older adults were not met. Predictive low alerts could reduce hypoglycaemia, particularly overnight. Investigation into the effectiveness of CGM-based targets that consider frailty, functional status, and diabetes therapies for older adults is warranted. JDRF and Diabetes Australia.

PSUN219 Increasing Frequency of Hemoglobin A1c (Hba1c) Measurements in Hospitalized Patients With Diabetes: A Quality Improvement Project Using Lean Six Sigma

Abstract Background Studies have shown the predictive value of hemoglobin A1c (HbA1c) on inpatient glycemic control, and its value for discharge planning. There is little data on HbA1c testing adherence to American Diabetes Association (ADA) guidelines among inpatient providers, and anecdotal evidence suggests that most inpatient providers do not have a standardized approach to HbA1c measurement. The Lean Six Sigma method is a management system that originated in the automobile industry and has become widely used in healthcare to improve the efficiency of processes. The objective of this study was to determine the impact utilizing Lean Six Sigma methodology to increase frequency of HbA1c measurements among hospitalized patients with a known history of diabetes, in line with ADA guidelines. Methods This was a quality improvement study performed in a 240-bed community hospital, evaluating inpatients (≥16 years) consecutively admitted with a diagnosis of diabetes (ICD-10 code E8-E13 and O24) between January 2016-June 2021. Patients were excluded if they had a HbA1c in the health system electronic health record (EHR) in the prior 3 months. The Lean Six Sigma approach was utilized to define the problem and implement solutions. The intervention bundle delivered between November 2017 and February 2018 included 1) provider and nursing education on the utility of HbA1c in patient care, 2) change in laboratory protocols for more rapid turnaround of HbA1c, 3) modifications to the EHR including a glucose management tab and insulin order set that included HbA1c. Hospital encounter and patient-level data were extracted from the EHR via bulk query. Demographic characteristics were calculated. Frequency of HbA1c lab sent while inpatient was compared pre- (Jan 2016-Nov 2017) and post-intervention (March 2018-June 2021) using chi-square analysis. Results 17,869 patients were included (7,332 pre- and 10,537 post-intervention). Demographics did not differ between pre and post intervention periods (mean age [range]: 78.1 [16-106] years, sex: 52.3% male, race: 52.1% White, 25.1% Black). Only 53.5% of patients who met criteria had a HbA1c measured during hospitalization before intervention. This frequency increased to 70.2% postintervention. The improvement in the frequency of HbA1c measurement was sustained more than two years following the initial interventions and continued to improve over time. Conclusion This novel approach was successful in improving adherence to guideline-based measurement of HbA1c in hospitalized patients. This is the first quality improvement project in a community hospital utilizing the Lean Six Sigma process for this purpose and may represent a valuable methodology for community hospitals to improve inpatient diabetes care. Presentation: Sunday, June 12, 2022 12:30 p.m. - 2:30 p.m.

RELATIONSHIP BETWEEN HBA1C AND COMPLETE BLOOD COUNT PARAMETERS IN ADULT PATIENTS WITH TYPE 2 DIABETES IN SAUDI ARABIA

Background: Hemoglobin A1c (HbA1c) measures blood glucose over a period of 2–3 months, and its level is closely related to the risk of complications. Several factors affecting HbA1c levels have not been studied. This study mainly focused on the relationship between HbA1c levels and complete blood count (CBC) parameters. Objectives: This study aimed to analyze the relationship between HbA1c levels and CBC parameters in patients with type 2 diabetes mellitus (T2DM) and to evaluate the association of CBC parameters with abnormal HbA1c levels and diabetic complications. Methods: This was a retrospective study of 385 Saudi patients with T2DM aged ≥18 years attending King Khalid University Hospital (KKUH) primary care clinics. Patients with type 1 diabetes mellitus, hematological diseases, infections, or allergies were excluded. AnElectronic System for Integrated Health Information (e-SiHi)was used to collect data, which were analyzed using SPSS 22 using t-test and analysis of variance, with P &lt;0.05 considered significant. Results: This study showed that the mean patient age was 59±13 years, with no significant difference between the sexes. In addition, the mean duration of disease was 10 years, and the mean HbA1c level was 8.5±1.9 %. CBC values were averaged according to their mean values, except for the erythrocyte sedimentation rate (ESR) (36±27 mm/hr) which was higher than the normal value (1.0–25 mm/hr). Conclusion: This study showed an association between HbA1c levels and duration of T2DM and hemoglobin. The progression of diabetic complications was related to CBC changes a high ESR was associated with the incidence of diabetic nephropathy and increased white blood cell count with neuropathy, vasculopathy, and nephropathy. Among all complications, vasculopathy occurred more frequently with each increase in HbA1c values.

United Kingdom Early Detection Initiative (UK-EDI): protocol for establishing a national multicentre cohort of individuals with new-onset diabetes for early detection of pancreatic cancer

IntroductionPancreatic cancer is a leading cause of cancer deaths worldwide. Screening for this disease has potential to improve survival. It is not feasible, with current screening modalities, to screen the...

Comparison of high performance liquid chromatography and turbidimetric inhibition immunoassay methods for measurement of hemoglobin A1c

Aim: Hemoglobin A1c is a valuable parameter for the diagnosis and follow-up of its diabetes mellitus since its biological variation is low, does not require preparation before the test, is not affected by acute stress, and has high preanalytical stability. HbA1c measurement by HPLC has been determined as the reference method by National Glycohemoglobin Standardization Program (NGSP) in USA; after that The International Federation of Clinical Chemistry (IFCC) defined another reference method which could be related with NGSP. In our study, we aim to compare the two NGSP-certified methods of HbA1c, which are high-performance liquid chromatography (HPLC) and turbidimetric inhibition immunoassay (TINIA).&#x0D; Material and Method: HbA1c levels of the patients were measured using two HPLC and one TINIA method in three different hospitals (Lab A, Lab B (Both are HPLC), and Lab C (TINIA), in which Lab A was served as a reference). Because of the lower precision values of LabB, we firstly conducted a method comparison study of 40 volunteers (Group 1). After that, corrective and preventive activities carried out and the precision values in LabB reached the desired range. Following this, another method comparison study consisting of 60 new volunteers (Group 2) was conducted. The statistical flow of this study complied with Clinical Laboratory Standards Institute (CLSI) EP09-A3; Precision studies, Blant-Altman and Passing Bablok regression analysis were performed.&#x0D; Results: The percentage of the mean difference between the two HPLC methods (LabA and LabB) was 3.1%. After corrective and preventive actions had been taken, the mean difference between the two HPLC methods decreased to 2.0%. A decrease in systematic bias was found in our study. Two HPLC methods can be used interchangeably in both Group 1 and Group 2. In Group 1; 95% CI of intercept and slope were found as (-1.41 to -0.30) and (1.03 to 1.22), respectively. In Group 2; 95% CI of intercept and slope were found as (-1.33 to -0.31) and (1.01 to 1.17), respectively. HPLC and TINIA methods could not be used interchangeable without affecting patient results and outcome in both Group 1 and Group 2.&#x0D; Conclusion: Our study concluded that TINIA and HPLC methods could not be used interchangeably without affecting patient results and outcome. Because of the methodology that clinical laboratories are used to, clinicians and clinical biochemists should collaborate on managing diabetes mellitus regarding diagnosis, treatment, and follow-up.

Association Between Glycemic Traits and Primary Open-Angle Glaucoma: A Mendelian Randomization Study in the Japanese Population

A meta-analysis suggests a relationship between abnormal glucose metabolism and primary open-angle glaucoma (POAG); however, the causal association between them remains controversial. We therefore conducted a Mendelian randomization (MR) study to assess the causal association between genetically predicted glycemic traits and the risk of POAG. Two-sample MR design. We examined the genetically predicted measures of fasting glucose, hemoglobin A1c (HbA1c), and fasting C-peptide, in relation to POAG. For the single nucleotide polymorphism (SNP)-exposure analyses, we meta-analyzed the study-level genome-wide associations of fasting glucose levels (n=17,289; n of SNPs=34), HbA1c (n=52,802; n of SNPs=43), and fasting C-peptide levels (n=1666; n of SNPs=17) from the Japanese Consortium of Genetic Epidemiology studies. We used summary statistics from the BioBank Japan projects (n=3980 POAG cases and 18,815 controls) for the SNP-outcome association. We observed no association of genetically predicted HbA1c and fasting C-peptide with POAG. The MR inverse-variance-weighted (IVW) odds ratios (ORs) were 1.44 (95% confidence interval [CI], 0.78-2.65; P=.25) for HbA1c (per 1% increment) and 0.92 (95% CI, 0.56-1.53; P=.76) for fasting C-peptide (per 2-fold increment). A significant association between fasting glucose (per 10 mg/dL-increment) and POAG was observed according to the MR IVW analysis (OR=1.48 [95% CI, 1.10-1.79, P=.009]); however, sensitivity analyses, including MR-Egger and weighted-median methods, did not support this association (P > .10). We did not observe strong evidence to support the association between genetically predicted glycemic traits and POAG in the Japanese population.

An Evaluation of Point-of-Care HbA1c, HbA1c Home Kits, and Glucose Management Indicator: Potential Solutions for Telehealth Glycemic Assessments.

During the COVID-19 pandemic, fewer in-person clinic visits resulted in fewer point-of-care (POC) HbA1c measurements. In this sub-study, we assessed the performance of alternative glycemic measures that can be obtained remotely, such as HbA1c home kits and Glucose Management Indicator (GMI) values from Dexcom Clarity. Home kit HbA1c (n = 99), GMI, (n = 88), and POC HbA1c (n = 32) were collected from youth with T1D (age 9.7 ± 4.6 years). Bland-Altman analyses and Lin's concordance correlation coefficient (ρc) were used to characterize the agreement between paired HbA1c measures. Both the HbA1c home kit and GMI showed a slight positive bias (mean difference 0.18% and 0.34%, respectively) and strong concordance with POC HbA1c (ρc = 0.982 [0.965, 0.991] and 0.823 [0.686, 0.904], respectively). GMI showed a slight positive bias (mean difference 0.28%) and fair concordance (ρc = 0.750 [0.658, 0.820]) to the HbA1c home kit. In conclusion, the strong concordance of GMI and home kits to POC A1c measures suggest their utility in telehealth visits assessments. Although these are not candidates for replacement, these measures can facilitate telehealth visits, particularly in the context of other POC HbA1c measurements from an individual.

Risk of Macrovascular and Microvascular Disease in Diabetes Diagnosed Using Oral Glucose Tolerance Test With and Without Confirmation by Hemoglobin A1c: The Whitehall II Cohort Study.

Background:It is unclear whether replacing oral glucose tolerance test (OGTT) with hemoglobin A1c (HbA1c) measurement for diagnosing diabetes is justified. We aimed to assess the proportion of OGTT-diagnosed diabetes cases that can be confirmed by HbA1c and to examine whether individuals with OGTT diagnosis but nondiagnostic HbA1c are at higher risk of macrovascular and microvascular disease.Methods:Participants were 5773 men and women from the population-based Whitehall II prospective cohort study in the United Kingdom. New OGTT diabetes cases diagnosed in clinical examinations in 2002 to 2004 and 2007 to 2009 were assessed for HbA1c confirmation (≥6.5%) in these and subsequent clinical examinations in 2012 to 2013 and 2015 to 2016. All participants were followed up for major cardiovascular events through linkage to electronic health records until 2017 and for incident chronic kidney disease (estimated glomerular filtration rate <60 mL·min−1·1.73 m−2) until the last clinical examination. In analysis of vascular disease risk, new OGTT-diagnosed diabetes cases with and without diagnostic HbA1c and preexisting diabetes cases were compared with diabetes-free participants.Results:Of the 378 (59.3%) participants with OGTT-diagnosed diabetes, 224 were confirmed by HbA1c during 4.1 years (SD, 4.1 years) of follow-up. We recorded 942 cardiovascular events over 12.1 years. After adjustment for nonmodifiable risk factors and compared with the 4997 diabetes-free participants, 371 participants with new HbA1c-confirmed diabetes and 405 participants with preexisting diabetes had increased risk of cardiovascular disease (hazard ratio, 1.53 [95% CI, 1.12–2.10] and 1.85 [95% CI, 1.50–2.28], respectively). The corresponding hazard ratios in the analysis of incident chronic kidney disease (487 cases; follow-up, 6.6 years) were 1.69 (95% CI, 1.09–2.62) for 282 participants with new HbA1c-confirmed diabetes and 1.67 (95% CI, 1.22–2.28) for 276 participants with preexisting diabetes. In both analyses, OGTT cases with nondiagnostic HbA1c (n=149 and 107) had a risk (hazard ratio, 0.99–1.07) similar to that of the diabetes-free population.Conclusions:More than 40% of OGTT-diagnosed diabetes cases were not confirmed by HbA1c during an extended follow-up. However, because these individuals have a risk of cardiovascular disease and chronic kidney disease similar to that of the diabetes-free population, replacement of OGTT with HbA1c-based diagnosis appears justified.

Feasibility of Using a Factory-Calibrated Continuous Glucose Monitoring System to Diagnose Type 2 Diabetes.

Context: Plasma glucose or A1C criteria can be used to establish the diagnosis of type 2 diabetes (T2D). Objective: We examined whether continuous glucose monitoring (CGM) data from a single 10-day wear period could form the basis of an alternative diagnostic test for T2D. Design: We developed a binary classification diagnostic CGM (dCGM) algorithm using a dataset of 716 individual CGM sensor sessions from 563 participants with associated A1C measurements from seven clinical trials. Data from 470 participants were used for training and 93 participants for testing (49 normoglycemic [A1C <5.7%], 27 prediabetes, and 17 T2D [A1C ≥6.5%] not using pharmacotherapy). dCGM performance was evaluated against the accompanying A1C measurement, which was assumed to provide the correct diagnosis. Results: The dCGM algorithm's overall sensitivity, specificity, positive predictive value, and negative predictive value were 71%, 93%, 71%, and 93%, respectively. At other clinically relevant A1C thresholds, dCGM specificity among normoglycemic participants was 98% (48/49 correctly classified), and for participants with suboptimally controlled diabetes (A1C ≥7%, above the American Diabetes Association recommended A1C goal) the sensitivity was 100% (8/8 participants correctly diagnosed with T2D). Conclusions: Classifications based on the dCGM algorithm were in good agreement with traditional methods based on A1C. The dCGM algorithm may provide an alternative method for screening and diagnosing T2D, and warrants further investigation.

Sleep optimization to improve glycemic control in adults with type 1 diabetes: study protocol for a randomized controlled parallel intervention trial

BackgroundDespite improvements in treatment regimens and technology, less than 20% of adults with type 1 diabetes (T1D) achieve glycemic targets. Sleep is increasingly recognized as a potentially modifiable target for improving glycemic control. Diabetes distress, poor self-management behaviors, and reduced quality of life have also been linked to sleep variability and insufficient sleep duration. A significant gap of knowledge exists regarding interventions to improve sleep and the effects of sleep optimization on glycemic control in T1D. The purpose of this study is to determine the efficacy of a T1D-specific sleep optimization intervention (Sleep-Opt) on the primary outcomes of sleep variability, sleep duration, and glycemic control (A1C); other glycemic parameters (glycemic variability, time-in-range [TIR]); diabetes distress; self-management behaviors; quality of life; and other patient-reported outcomes in adults with T1D and habitual increased sleep variability or short sleep duration.MethodsA randomized controlled parallel-arm study will be employed in 120 adults (aged 18 to 65 years) with T1D. Participants will be screened for habitual sleep variability (> 1 h/week) or insufficient sleep duration (< 6.5 h per night). Eligible subjects will be randomized to the Sleep-Opt intervention group or healthy living attention control group for 12 weeks. A 1-week run-in period is planned, with baseline measures of sleep by actigraphy (sleep variability and duration), glycemia (A1C and related glycemic measures: glycemic variability and TIR using continuous glucose monitoring), and other secondary outcomes: diabetes distress, self-management behaviors, quality of life, and additional patient-reported outcomes. Sleep-Opt is a technology-assisted behavioral sleep intervention that we recently developed that leverages the rapidly increasing public interest in sleep tracking. Our behavioral intervention employs four elements: a wearable sleep tracker, didactic content, an interactive smartphone application, and brief telephone counseling. The attention control group will participate in a healthy living information program. Baseline measures will be repeated at midpoint, program completion, and post-program (weeks 6, 12, and 24, respectively) to determine differences between the two groups and sustainability of the intervention.DiscussionA better understanding of strategies to improve sleep in persons with T1D has the potential to be an important component of diabetes.Trial registrationClinical Trial Registration: NCT04506151.

Impact of a Multidisciplinary Approach on Cardiometabolic Risk Reduction in a Multiracial Cohort of Adults: A 1-Year Pilot Study.

Evidence examining specific effects of a multidisciplinary team (MDT) on cardiometabolic risk factors (CMRFs) among multi-ethnic patients in real-world clinical settings is lacking. This one-year retrospective chart review (2018) analyzed 598 adults (African American 59%, Hispanic 35%, and Caucasian 6%) with mean age of 43.8 ± 14.0 years. Qualifying patients with primary inclusion criteria of having body mass indices and blood pressure (BP) measurements in the first and last quarter of the study period were treated under an MDT protocol and compared to those qualifying for MDT but treated solely by a primary care provider (PCP). MDT included endocrinologist-directed visits, lifestyle counseling, and shared medical appointments. MDT patients experienced a greater reduction (β; 95% CI) in weight (−4.29 kg; −7.62, −0.97), BMI (−1.43 kg/m2; −2.68, −0.18), systolic BP (−2.18 mmHg; −4.09, −0.26), and diastolic BP (−1.97 mmHg; −3.34, −0.60). Additionally, MDT patients had 77%, 83%, and 59% higher odds of reducing ≥5% of initial weight, 1 BMI point, and ≥2 mmHg DBP, respectively. Improvements in hemoglobin A1C measurements were observed in the MDT group (insufficient data to compare with the PCP group). Compared to PCP only, MDT co-management improves CMRF related to adiposity and hypertension in a multiethnic adult cohort in real-world clinical settings. Patient access to best practices in cardiometabolic care is a priority, including the incorporation of culturally adapted evidence-based recommendations translated within a multi-disciplinary infrastructure, where competing co-morbidities are better managed, and associated research and education programs can promote operational sustainability.

Feasibility, Acceptability, and Preliminary Efficacy of an Intensive Clinic-Based Intervention for Children With Poorly Controlled Type 1 Diabetes

ObjectiveTo evaluate the feasibility, acceptability, and preliminary efficacy of a team-based intervention for youth with type 1 diabetes (T1D) with suboptimal glycemia, as detected based on the measurement of hemoglobin A1C (HbA1C). MethodsForty participants with T1D for >1 year and an HbA1C level of ≥9.5% (80 mmol/mol) enrolled for a multidisciplinary intervention that included pediatric endocrinologists, pediatric psychologists, and a certified diabetes care and education specialist (CDCES). The CDCES-integrated medical management, while reinforcing physical, emotional, and behavioral health, connected with families to set and monitor goals and reviewed medication adjustments. The feasibility was assessed based on enrollment targets; acceptability based on retention rates; and preliminary efficacy based on changes in HbA1C levels, quality of life, diabetes-related strengths and resilience, hospital admissions, emergency room visits, and missed school days. ResultsOf 43 patients and families approached, 40 agreed to participate, 36 completed the 4-month intervention, and 31 completed full 8 months of follow-up data collection. The CDCES coach averaged 6.8 contacts per participant during the 8-month study period. The HbA1C level reduced significantly from baseline to 4 months (12.1% ± 1.6% to 11.0% ± 1.9%, P = .001) and was sustained at 8 months (10.7% ± 1.9%, P < .001). The participants reported significant increases in diabetes-specific quality of life (P < .05) and diabetes-related strength and resilience (P = .003). The missed school days reduced from 7.23 ± 7.5 days to 1.55 ± 1.9 days (P < .001), and the diabetes-related hospitalizations decreased from 0.4 ± 0.6 to 0.1 ± 0.3 (P = .009). ConclusionPreliminary data suggest that a multidisciplinary intervention leveraging a team-based approach with a physician, psychologist, and CDCES can support improvements in glycemic control and psychosocial outcomes among youth with T1D with an HbA1C level above the target.

The Importance of Continuous Glucose Monitoring-derived Metrics Beyond HbA1c for Optimal Individualized Glycemic Control.

ContextCurrent guidelines recommend assessing glycemic control using continuous glucose monitoring (CGM) and hemoglobin A1c (HbA1c) measurement.ObjectiveThis study aimed to clarify the characteristics of patients who might benefit from CGM metrics in addition to HbA1c monitoring.MethodsCGM metrics, specifically time in range (TIR), time below range (TBR), and time above range (TAR), were determined in 999 outpatients with type 2 diabetes and compared between HbA1c categories (HbA1c < 53 mmol/mol [7.0%, HbA1c < 53], HbA1c 53-63 mmol/mol [7.0-7.9%, HbA1c 53-63], HbA1c 64-74 mmol/mol [8.0-8.9%, HbA1c 64-74], and HbA1c ≥ 75 mmol/mol [9.0%, HbA1c ≥ 75]) and between patients with identical HbA1c categories who were stratified by age, types of antidiabetic agents, and renal function.ResultsFor HbA1c < 53 category, patients aged ≥ 65 years had a significantly higher nocturnal TBR than those aged < 65 years. For HbA1c < 53 and HbA1c 53-63 categories, patients receiving insulin and/or sulfonylureas had a significantly higher TAR and TBR, and a lower TIR than those not receiving these drugs, and for HbA1c 64-74 category, they had a significantly higher TBR. For HbA1c < 53, HbA1c 53-63, and HbA1c 64-74 categories, patients with an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 had a significantly higher TBR during some periods than those with an eGFR ≥ 60.ConclusionHigher HbA1c levels do not always protect against hypoglycemic episodes. Our data demonstrate that using CGM metrics to complement HbA1c monitoring is beneficial, especially in older people, users of insulin and/or sulfonylureas, and patients with chronic kidney disease.

Association of Hyper-Low-Density Lipoprotein and Hypo-High-Density Lipoprotein Cholesterolemia with Low Saliva Flow Rates in Japanese Community-Dwelling Elders.

Introduction The associations of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein (HDL-C) with reduced saliva flow rates have not been previously reported. Objective The present study aimed to assess the association of cholesterolemia with reduced saliva flow rates in community-dwelling elderly subjects. Methods The present study analyzed 342 participants (170 males and 172 females aged between 78 and 79 years old). Unstimulated salivary flow rate (USFR) was assessed using a cotton roll method. Low-USFR was defined as 0.10 g/30 seconds. Stimulated salivary flow rate (SSFR) was assessed by having the participants chew tasteless gum for 3 minutes. Low-SSFR was defined as 1.0 mL/minute. Blood samples were collected for the measurement of LDL-C, HDL-C, rheumatoid factor, hemoglobin A1c, and creatinine. To assess depression, the General Health Questionnaire 30 was used. A standardized questionnaire was completed, covering the current and previous medications of the participants and smoking status. We stratified the serum LDL-C levels of the participants as normal, moderate or severe hyper-LDL cholesterolemia and serum HDL-C levels as normal or hypo-HDL cholesterolemia. Multivariate logistic regression models were established and low-USFR or low-SSFR were set as dependent variables in the aforementioned models. Results After controlling for the effects of the other variables, the odds ratios (ORs) (95% confidence intervals [CIs]) for low-USFR were 2.25 (1.10-4.61) for moderate and 5.69 (1.55-20.8) for severe hyper-LDL cholesterolemia, while that of hypo-HDL cholesterolemia was 3.40 (1.33-8.69). Severe hyper-LDL cholesterolemia was also associated with low-SSFR with an OR of 3.89 (1.39-10.88). Conclusion Elderly patients with cholesterolemia have a risk of reduced salivary flow rate.

Mortality differentials by previous diagnosis of diabetes and glycemic status in the United States

AimsThis study examines mortality differences associated with current glycemic status in mortality by current glycemic status among adults with a previously diagnosed diabetes. Using previous clinical diagnosis of diabetes (diagnosed diabetes) and laboratory measures of hemoglobin A1c (HbA1c) measured at baseline, we estimated mortality differentials simultaneously by diagnosed diabetes and baseline glycemic status in the United States. MethodsData were from 39,491 adults aged 30–84 years assessed in the National Health and Nutrition Examination Survey (NHANES) III and continuous NHANES 1999–2014 linked to mortality data. We categorized participants into four mutually exclusive groups based on diagnosed diabetes and glycemic control measured by HbA1c ≥6.5 % at baseline. Relative hazard ratio (HR) of all-cause death among these four groups were estimated using Cox proportional models. ResultsThere was no significant difference in mortality by glycemic control status among adults with diagnosed diabetes. The same finding was observed among adults without diagnosed diabetes. Adults with diagnosed diabetes had higher mortality than adults without diagnosed diabetes independent of their baseline glycemic control. ConclusionsOnce diagnosed with diabetes, US adults with normal- and hyper-glycemia showed no significant difference in all-cause mortality. This finding emphasizes the importance of primary prevention interventions among adults with a sign of early-stage diabetes.

The Impact of Glycemic Control on Procalcitonin Level in Patients with Type II Diabetes

Background: Diabetes mellitus is a chronic condition characterized by hyperglycemia that can lead to serious complications. It results from a defect in insulin secretion, insulin resistance, or both. Type 2 diabetes mellitus (T2DM) is the most common type of diabetes and mainly affects adults. It is associated with insulin resistance and low-grade chronic inflammation in the adipose tissue, muscles, and liver. Measurement of hemoglobin A1c (HbA1c) is one of the most widely used tests to monitor diabetes. The aim of this study was to shed light on the effect of glycemic control of type 2 diabetes on procalcitonin (PT) levels in order to prevent future complications. Materials and Methods: This case-control study included 68 patients with type 2 diabetes mellitus. At Biochemistry Department, College of Medicine, and University of Baghdad and at Al-Sadiq Teaching Hospital in Al-Hilla City, during the period from July 2020 to October 2020. Hemoglobin A1C (HbA1c) was estimated by using an affinity chromatography assay. These patients were divided according to HbA1c level into bad control group (HbA1c &gt; = 7%) which included 36 patients, and good control group (HbA1c &lt;7%) which included 32 patients. Another group of 32 nondiabetic apparently healthy subjects (HbA1c &lt;5.7%) served as control group. Patients with type 1 diabetes mellitus (T1DM), gestational diabetes, insulin-treated type 2 diabetes, history of recent infection, diabetic foot, ischemic heart disease, cerebrovascular disease, or recent trauma or surgery were excluded. PCT of each participant was estimated using an enzyme-linked immunosorbent assay (ELISA). Results: The mean PCT values of bad control group, good control group, and control groups were 871.3776, 834.5005, and 208.5313 pg/mL, respectively. The study showed that there was no significant difference in mean PCT between good control and bad control groups (P &gt; 0.05). In addition, there was no significant correlation between PCT and HbA1c among diabetic patients (r = 0.072, P &gt; 0.05). However, there is a significant differences in mean of PCT values between diabetic patients and control group (P &lt; 0.05). Conclusion: There was no effect of glycemic control on PCT level in patients with T2DM. However, the level of PCT was increased in comparison with non-diabetic healthy subjects.