Association of prior outpatient diabetes screening with cardiovascular events and mortality among people with incident diabetes: a population-based cohort study.

BACKGROUND: Outcomes of diabetes screening in contemporary, multi-ethnic populations are unknown. We examined the association of prior outpatient diabetes screening with the risks of cardiovascular events and mortality in Ontario, Canada. METHODS: We conducted a population-based cohort study using administrative databases among adults aged ≥ 20 years with incident diabetes diagnosed during 2014-2016. The exposure was outpatient diabetes screening performed within 3 years prior to diabetes diagnosis. The co-primary outcomes were (1) a composite of all-cause mortality and hospitalization for myocardial infarction, stroke, coronary revascularization, and (2) all-cause mortality (followed up until 2018). We calculated standardized rates of each outcome and conducted cause-specific hazard modelling to determine the adjusted hazard ratio (HR) of the outcomes, adjusting for prespecified confounders and accounting for the competing risk of death. RESULTS: We included 178,753 Ontarians with incident diabetes (70.2% previously screened). Individuals receiving prior screening were older (58.3 versus 53.4 years) and more likely to be women (49.6% versus 40.0%) than previously unscreened individuals. Individuals receiving prior screening had relatively lower standardized event rates than those without prior screening across all outcomes (composite: 12.8 versus 18.1, mortality: 8.2 versus 11.1 per 1000 patient-years). After multivariable adjustment, prior screening was associated with 34% and 32% lower risks of the composite (HR 0.66, 0.63-0.69) and mortality (0.68, 0.64-0.72) outcomes. Among those receiving prior screening, a result in the prediabetes range was associated with lower risks of the composite (0.82, 0.77-0.88) and mortality (0.71, 0.66-0.78) outcomes than a result in the normoglycemic range. CONCLUSIONS: Previously screened individuals with diabetes had lower risks of cardiovascular events and mortality versus previously unscreened individuals. Better risk assessment tools are needed to support wider and more appropriate uptake of diabetes screening, especially among young adults.

Neighborhood-Level Risk Factors for Severe Hyperglycemia among Emergency Department Patients without a Prior Diabetes Diagnosis.

A person's place of residence is a strong risk factor for important diagnosed chronic diseases such as diabetes. It is unclear whether neighborhood-level risk factors also predict the probability of undiagnosed disease. The objective of this study was to identify neighborhood-level variables associated with severe hyperglycemia among emergency department (ED) patients without a history of diabetes. We analyzed patients without previously diagnosed diabetes for whom a random serum glucose value was obtained in the ED. We defined random glucose values ≥ 200 mg/dL as severe hyperglycemia, indicating probable undiagnosed diabetes. Patient addresses were geocoded and matched with neighborhood-level socioeconomic measures from the American Community Survey and claims-based surveillance estimates of diabetes prevalence. Neighborhood-level exposure variables were standardized based on z-scores, and a series of logistic regression models were used to assess the association of selected exposures and hyperglycemia adjusting for biological and social individual-level risk factors for diabetes. Of 77,882 ED patients without a history of diabetes presenting in 2021, 1,715 (2.2%) had severe hyperglycemia. Many geospatial exposures were associated with uncontrolled hyperglycemia, even after controlling for individual-level risk factors. The most strongly associated neighborhood-level variables included lower markers of educational attainment, higher percentage of households where limited English is spoken, lower rates of white-collar employment, and higher rates of Medicaid insurance. Including these geospatial factors in risk assessment models may help identify important subgroups of patients with undiagnosed disease.

Factors associated with compliance to the recommendations for postpartum diabetes mellitus screening among women with gestational diabetes mellitus.

OBJECTIVE: Since women with GDM have an increased risk to develop type 2 DM, a 75 g OGTT is recommended 6-12 weeks postpartum for all women with GDM. However, screening rates remain low. The aim of this study was to find factors affect the rate of postpartum DM screening. MATERIALS AND METHODS: A retrospective cohort study between 2016 and 2017 at the Soroka Medical Center, comparing women with GDM who underwent postpartum DM screening test to those who did not. RESULTS: 257 women who had a diagnosis of GDM and met the inclusion criteria were included. 53 (20.6%) had a postpartum DM screening test and 204 (79.4%) did not complete the postpartum DM screening. Women who underwent a DM screening postpartum were more likely to be older, with significantly higher rates of vacuum-assisted delivery, more likely to be diagnosed with GDMA2 as compared to GDMA1 during pregnancy and, with high probability of receiving recommendations for screening at a postpartum visit. CONCLUSIONS: The rates of postpartum DM screening for women with GDM are low and need to increase. Age greater than 25, vacuum delivery, GDMA2, and having received a recommendation for postpartum screening increased the likelihood of undergoing a postpartum DM screening.

Barriers to Implementation of Teleretinal Diabetic Retinopathy Screening Programs Across the University of California.

Aim: To describe barriers to implementation of diabetic retinopathy (DR) teleretinal screening programs and artificial intelligence (AI) integration at the University of California (UC). Methods: Institutional representatives from UC Los Angeles, San Diego, San Francisco, Irvine, and Davis were surveyed for the year of their program's initiation, active status at the time of survey (December 2021), number of primary care clinics involved, screening image quality, types of eye providers, image interpretation turnaround time, and billing codes used. Representatives were asked to rate perceptions toward barriers to teleretinal DR screening and AI implementation using a 5-point Likert scale. Results: Four UC campuses had active DR teleretinal screening programs at the time of survey and screened between 246 and 2,123 patients at 1-6 clinics per campus. Sites reported variation between poor-quality photos (<5% to 15%) and average image interpretation time (1-5 days). Patient education, resource availability, and infrastructural support were identified as barriers to DR teleretinal screening. Cost and integration into existing technology infrastructures were identified as barriers to AI integration in DR screening. Conclusions: Despite the potential to increase access to care, there remain several barriers to widespread implementation of DR teleretinal screening. More research is needed to develop best practices to overcome these barriers.

Prevention aid in qualitative analysis of dermatoglyphic patterns in relation to type 2 diabetes mellitus: a pilot study.

OBJECTIVES: The significant differences in the fingerprint pattern frequencies in type 2 diabetes mellitus (T2DM) patients and controls could be a possible way to identify patients with a risk of developing T2DM. The results could be used in the earlier diagnosis and treatment. The study was undertaken to find out the reliability of fingerprint patterns as a possible predictive tool for T2DM diagnosis. METHODS: A total of 1,260 fingerprints were acquired using the optical contact sensor DactyScan 26i. The results of the qualitative analysis of the fingerprint pattern frequencies have been compared between T2DM patients and controls and also between the fingers to each other. We have detected the frequency of patterns: plain arch (Ap) and tented arch (At), radial loop (Lr), ulnar loop (Lu), double loop (Ld), spiral whorl (W), and plain whorl (concentric) (Wp). Statistical analysis was performed using Pearson's chi-square by Statistica ver. 12. RESULTS: We found statistically significant differences (p < 0.05) in the frequency of individual dermatoglyphic patterns among patients with diabetes and healthy controls as follows: in the left thumb (L1) in a radial loop, double loop and spiral whorl pattern; in the left middle finger (L3) in a tented arch and radial loop; in the right ring finger (R4) in a tented arch, spiral and plain whorl; and in the right little finger (R5) in a tented arch and spiral whorl. CONCLUSION: Fingerprint pattern frequencies might be used as another screening tool and indicator in T2DM prevention. Qualitative analysis of fingerprint patterns could be useful regarding the additional prevention diagnostics of T2DM in the population.

Postpartum screening of women with GDM in specialised practices: Data from 12,991 women in the GestDiab register.

BACKGROUND: Gestational diabetes (GDM) in the short term is associated with various complications during pregnancy; however, in the long run, women have an increased risk of type 2 diabetes mellitus (T2DM). Therefore, short- and long-term follow-up postpartum is recommended. METHODS: We assessed the proportion of postpartum diabetes screening among 12,991 women with their first GDM-diagnosed pregnancy in the study period in the nationwide German GestDiab register between 2015 and 2017. In addition to assessing prevalence, we assessed if the probability of postpartum screening was associated with maternal characteristics or pregnancy outcomes. RESULTS: In total, 38.2% (95% CI 32.8%-43.7%) of our sample underwent postpartum diabetes screening, irrespective of its timing. Around 50% of women (19.3% of the total sample) undertook the screening in the recommended time frame of 6-12 weeks postpartum. We found that age, native language, pre-pregnancy BMI, smoking status, number of previous pregnancies, fasting plasma glucose and HbA1c levels as well as previous pregnancies with GDM and treatment with insulin were associated with participation in the postpartum diabetes screening in our sample. CONCLUSION: In our study, more than 60% of the women with GDM did not participate in postpartum diabetes screening. This is a missed opportunity in a high-risk population to detect glucose intolerance. Consequently, appropriate interventions to prevent the progression to T2DM cannot be initiated. Further research should investigate barriers and enabling factors and allow developing a multilevel approach for GDM postpartum care.

The sonographic quantitative assessment of the deltoid muscle to detect type 2 diabetes mellitus: a potential noninvasive and sensitive screening method?

BACKGROUND: In our previous published study, we demonstrated that a qualitatively assessed elevation in deltoid muscle echogenicity on ultrasound was both sensitive for and a strong predictor of a type 2 diabetes (T2DM) diagnosis. This study aims to evaluate if a sonographic quantitative assessment of the deltoid muscle can be used to detect T2DM. METHODS: Deltoid muscle ultrasound images from 124 patients were stored: 31 obese T2DM, 31 non-obese T2DM, 31 obese non-T2DM and 31 non-obese non-T2DM. Images were independently reviewed by 3 musculoskeletal radiologists, blinded to the patient's category. Each measured the grayscale pixel intensity of the deltoid muscle and humeral cortex to calculate a muscle/bone ratio for each patient. Following a 3-week delay, the 3 radiologists independently repeated measurements on a randomly selected 40 subjects. Ratios, age, gender, race, body mass index, insulin usage and hemoglobin A1c were analyzed. The difference among the 4 groups was compared using analysis of variance or chi-square tests. Both univariate and multivariate linear mixed models were performed. Multivariate mixed-effects regression models were used, adjusting for demographic and clinical variables. Post hoc comparisons were done with Bonferroni adjustments to identify any differences between groups. The sample size achieved 90% power. Sensitivity and specificity were calculated based on set threshold ratios. Both intra- and inter-radiologist variability or agreement were assessed. RESULTS: A statistically significant difference in muscle/bone ratios between the groups was identified with the average ratios as follows: obese T2DM, 0.54 (P < 0.001); non-obese T2DM, 0.48 (P < 0.001); obese non-T2DM, 0.42 (P = 0.03); and non-obese non-T2DM, 0.35. There was excellent inter-observer agreement (intraclass correlation coefficient 0.87) and excellent intra-observer agreements (intraclass correlation coefficient 0.92, 0.95 and 0.94). Using threshold ratios, the sensitivity for detecting T2DM was 80% (95% CI 67% to 88%) with a specificity of 63% (95% CI 50% to 75%). CONCLUSIONS: The sonographic quantitative assessment of the deltoid muscle by ultrasound is sensitive and accurate for the detection of T2DM. Following further studies, this process could translate into a dedicated, simple and noninvasive screening method to detect T2DM with the prospects of identifying even a fraction of the undiagnosed persons worldwide. This could prove especially beneficial in screening of underserved and underrepresented communities.

Impact of earlier gestational diabetes screening for pregnant people with obesity on maternal and perinatal outcomes.

OBJECTIVES: Gestational diabetes (GDM) screening at 24-28 weeks' gestation reduces risk of adverse maternal and perinatal outcomes. While experts recommend first-trimester screening for high-risk patients, including those with obesity, data supporting this recommendation is limited. METHODS: We implemented a systematic population intervention to encourage first-trimester GDM screening by oral glucose tolerance testing in a cohort of pregnant people with obesity in two integrated health systems from 2009 to 2013, and compared outcomes to the same population pre-intervention (2006-2009). Up to five years of postpartum glucose testing results (through 2018) were assessed among GDM cases in the post-intervention group. Primary outcomes were large-for-gestational-age birthweight (LGA); macrosomia; a perinatal composite outcome; gestational hypertension/preeclampsia; cesarean delivery; and medication treatment of GDM. RESULTS: A total of 40,206 patients (9,156 with obesity) were screened for GDM; 2,672 (6.6%) were diagnosed with GDM. Overall, multivariate adjusted risk for LGA and cesarean delivery were lower following the intervention (LGA: aOR 0.89 [0.82, 0.96]; cesarean delivery: 0.89 [0.85, 0.93]). This difference was more pronounced in patients diagnosed with GDM (LGA: aOR 0.52 [0.39, 0.70]; cesarean delivery 0.78 [0.65, 0.94]); insulin/oral hypoglycemic treatment rates for GDM were also higher post-intervention than pre-intervention (22 vs. 29%; p<0.0001). There were no differences for the other primary outcomes. Only 20% of patients diagnosed with GDM early in pregnancy who had postpartum testing had results in the overt diabetes range, suggesting a spectrum of diabetes detected early in pregnancy. CONCLUSIONS: First trimester GDM screening for pregnant people with obesity may improve GDM-associated outcomes.

Screening test characteristics and comparison of diabetes outcomes among pregnant patients with prediabetes.

This study sought to compare test characteristics of hemoglobin A1c, oral glucose tolerance test and fasting plasma glucose for the development of gestational diabetes among women with prediabetes. Diabetes outcomes were compared by screening test used for prediabetes diagnosis among a retrospective cohort of pregnant patients between 2017-2021. During the study, 8132 patients received diabetes screening and 14.0% met criteria for prediabetes. By screening test, 75.1% were screened with hemoglobin A1c, 10.0% with fasting plasma glucose and 14.9% with a 75-g oral glucose tolerance test. Hemoglobin A1c had the highest positive predictive value (67.2%). Use of hemoglobin A1c was significantly more likely to identify women with GDM than oral glucose tolerance test (aOR 3.94, 95% CI 2.30-6.73). In this study cohort, hemoglobin A1c was able to identify patients that were more likely to develop GDM in an at-risk population.IMPACT STATEMENTWhat is already known on this subject? Prediabetes is becoming more common in the general population; however little is known about prediabetes in pregnancy. Women with prediabetes in pregnancy appear to be at increased risk of developing gestational diabetes mellitus, however there is minimal information about various screening tests performance in pregnancy for detection of prediabetes and subsequent gestational diabetes.What do the results of this study add? The results of this study compare three commonly used screening tests for screening for diabetes. When identifying women with prediabetes, they are at increased risk for developing gestational diabetes mellitus if identified by hemoglobin A1c.What are the implications of these findings for clinical practice and/or further research? The clinical implication of this study is that women can be screened with hemoglobin A1c in early pregnancy for both overt diabetes, but also may be identified as high risk with prediabetes. Among women with prediabetes by hemoglobin A1c, they remain at high risk for developing gestational diabetes mellitus.

Metabolite Triplet in Serum Improves the Diagnostic Accuracy of Prediabetes and Diabetes Screening.

Large-scale population screenings are not feasible by applying laborious oral glucose tolerance tests, but using fasting blood glucose (FPG) and glycated hemoglobin (HbA1c), a considerable number of diagnoses are missed. A novel marker is urgently needed to improve the diagnostic accuracy of broad-scale diabetes screening in easy-to-collect blood samples. In this study, by applying a novel knowledge-based, multistage discovery and validation strategy, we scaled down from 108 diabetes-associated metabolites to a diagnostic metabolite triplet (Met-T), namely hexose, 2-hydroxybutyric/2-hydroxyisobutyric acid, and phenylalanine. Met-T showed in two independent cohorts, each comprising healthy controls, prediabetic, and diabetic individuals, distinctly higher diagnostic sensitivities for diabetes screening than FPG alone (>79.6 vs <68%). Missed diagnoses decreased from >32% using fasting plasma glucose down to <20.4%. Combining Met-T and fasting plasma glucose further improved the diagnostic accuracy. Additionally, a positive association of Met-T with future diabetes risk was found (odds ratio: 1.41; p = 1.03 × 10-6). The results reveal that missed prediabetes and diabetes diagnoses can be markedly reduced by applying Met-T alone or in combination with FPG and it opens perspectives for higher diagnostic accuracy in broad-scale diabetes-screening approaches using easy to collect sample materials.

Antipsychotic medication adherence and preventive diabetes screening in Medicaid enrollees with serious mental illness: an analysis of real-world administrative data.

BACKGROUND: There is excess amenable mortality risk and evidence of healthcare quality deficits for persons with serious mental illness (SMI). We sought to identify sociodemographic and clinical characteristics associated with variations in two 2015 Healthcare Effectiveness Data and Information Set (HEDIS) measures, antipsychotic medication adherence and preventive diabetes screening, among Medicaid enrollees with serious mental illness (SMI). METHODS: We retrospectively analyzed claims data from September 2014 to December 2015 from enrollees in a Medicaid specialty health plan in Florida. All plan enrollees had SMI; analyses included continuously enrolled adults with antipsychotic medication prescriptions and schizophrenia or bipolar disorder. Associations were identified using mixed effects logistic regression models. RESULTS: Data for 5502 enrollees were analyzed. Substance use disorders, depression, and having both schizophrenia and bipolar disorder diagnoses were associated with both HEDIS measures but the direction of the associations differed; each was significantly associated with antipsychotic medication non-adherence (a marker of suboptimal care quality) but an increased likelihood of diabetes screening (a marker of quality care). Compared to whites, blacks and Hispanics had a significantly greater risk of medication non-adherence. Increasing age was significantly associated with increasing medication adherence, but the association between age and diabetes screening varied by sex. Other characteristics significantly associated with quality variations according to one or both measures were education (associated with antipsychotic medication adherence), urbanization (relative to urban locales, residing in suburban areas was associated with both adherence and diabetes screening), obesity (associated with both adherence and diabetes screening), language (non-English speakers had a greater likelihood of diabetes screening), and anxiety, asthma, and hypertension (each positively associated with diabetes screening). CONCLUSIONS: The characteristics associated with variations in the quality of care provided to Medicaid enrollees with SMI as gauged by two HEDIS measures often differed, and at times associations were directionally opposite. The variations in the quality of healthcare received by persons with SMI that were identified in this study can guide quality improvement and delivery system reform efforts; however, given the sociodemographic and clinical characteristics' differing associations with different measures of care quality, multidimensional approaches are warranted.

Prenatal care redesign: creating flexible maternity care models through virtual care.

Each year, nearly 4 million pregnant patients in the United States receive prenatal care-a crucial preventive service that improves pregnancy outcomes for mothers and their children. National guidelines currently recommend 12-14 in-person prenatal visits, a schedule that has remained unchanged since 1930. When scrutinizing the standard prenatal visit schedule, it becomes clear that prenatal care is overdue for a redesign. We have strong evidence of the benefits of prenatal services, such as screening for gestational diabetes and maternal vaccination. However, how to deliver these services is not clear. Studies of prenatal services consistently demonstrate that such care can be delivered in fewer than 14 visits and that patients do not need to visit clinics in person to receive all maternity services. Telemedicine has emerged as a promising care delivery option for patients seeking greater flexibility, and early trials leveraging virtual care and remote monitoring have shown positive maternal and fetal outcomes with high patient satisfaction. Our institution has worked for the past year on a new prenatal care pathway. Our initial work assessed the literature, elicited patient perspectives, and captured the insights of experts in patient-centered care delivery. There are 2 key principles that guide prenatal care redesign: (1) design care delivery around essential services, using in-person care for services that cannot be delivered remotely and offering video visits for other essential services, and (2) creation of flexible services for anticipatory guidance and psychosocial support that allow patients to tailor support to meet their needs through opt-in programs. The rise of coronavirus disease 2019 prompted us to extend this early work and rapidly implement a redesigned prenatal care pathway. In this study, we outline our experience in transitioning to a new prenatal care model with 4 in-person visits, 1 ultrasound visit, and 4 virtual visits (the 4-1-4 prenatal plan). We then explore how insights from this implementation can inform patient-centered prenatal care redesign during and beyond the coronavirus disease 2019 pandemic.

Coverage of tuberculosis and diabetes mellitus screening among household contacts of tuberculosis patients: a household-based cross-sectional survey from Southern Thailand.

BACKGROUND: The comorbid presence of tuberculosis and diabetes mellitus has become an increasingly important public health threat to the prevention and control of both diseases. Thus, household contact investigation may serve a dual purpose of screening for both tuberculosis and diabetes mellitus among household contacts. We therefore aimed to evaluate the coverage of screening for tuberculosis and diabetes mellitus among household contacts of tuberculosis index cases and to determine predictors of tuberculosis screening. METHODS: A household-based survey was conducted in February 2019 in Muang district of Phatthalung Province, Thailand where 95 index tuberculosis patients were newly diagnosed with pulmonary or pleural tuberculosis between October 2017 and September 2018. Household contacts of the index patients were interviewed using a structured questionnaire to ascertain their past-year history of tuberculosis screening and, if appropriate, diabetes mellitus screening. For children, the household head or an adult household member was interviewed as a proxy. Coverage of tuberculosis screening at the household level was regarded as households having all contacts screened for tuberculosis. Logistic regression and mixed-effects logistic regression models were used to determine predictors of tuberculosis screening at the household and individual levels, respectively, with the strengths of association presented as adjusted odds ratios (AOR) and 95% confidence intervals (CI). RESULTS: Of 61 responding households (64%), complete coverage of tuberculosis screening at the household level was 34.4% and among the 174 household contacts was 46.6%. About 20% of contacts did not receive any recommendation for tuberculosis screening. Households were more likely to have all members screened for tuberculosis if they were advised to be screened by a healthcare professional rather than someone else. At the individual level, contacts aged ≥35 years (AOR: 30.6, 95% CI: 2.0-466.0), being an employee (AOR: 0.1, 95% CI: 0.0-0.8) and those who had lived more than 5 years in the same household (AOR: 0.1, 95% CI: 0.0-0.8) were independent predictors for tuberculosis screening. Coverage of diabetes mellitus screening was 80.6% with lack of awareness being the main reason for not being screened. CONCLUSIONS: Compared to diabetes screening, the coverage of tuberculosis screening was low. A better strategy to improve coverage of tuberculosis contact screening is needed.

Postpartum glucose screening among women with gestational diabetes.

OBJECTIVE: (1) Determine the rate of completion of glucose screening for diabetes in the postpartum period for women who had gestational diabetes mellitus, and (2) compare the rates of follow up glucose screening among women who had A1GDM or A2GDM 4-12 weeks postoartum. DESIGN: A retrospective comparative study. SETTING: An academic hospital in an urban community. PARTICIPANTS: One hundred and seventy-five women with gestational diabetes who gave birth between January 2012 and September 2015. METHODS: The electronic medical record was reviewed to confirm diagnosis of gestational diabetes at 24-28 weeks and completion of 4-12 weeks postpartum glucose screening. All consecutive women meeting eligibility criteria were included. RESULTS: The rate of postpartum glucose screening was 38.9%. There were 22 (31.0%) women with A1GDM and 46 (44.2%) women with A2GDM who had postpartum glucose screening (χ2 = 3.12, p = 0.08). CONCLUSIONS: The type of GDM, did not affect the rate of follow-up for postpartum glucose screening. Strategies need to be developed to improve postpartum screening rates in women with gestational diabetes.

Diabetes screening among active tuberculosis patients in Western Australia Tuberculosis Control Program using HbA1c.

BACKGROUND: Diabetes mellitus is an important risk factor for tuberculosis (TB), and studies in high TB burden countries have shown diabetes screening to be both feasible and to have a high yield. However, scarce information is available for low TB burden countries. Diabetes screening was previously not part of our routine practice. AIM: To screen and determine the prevalence of diabetes in the Western Australian Tuberculosis Control Program. METHODS: We measured HbA1c and random plasma glucose in patients with active TB. We also collected details on their demographics, TB and diabetes. RESULTS: A total of 105 patients was recruited over a year. Of those, 17 (16.2%) had diabetes. Seven cases (6.7%) were newly diagnosed diabetics. Age, cavitating disease and family history of diabetes were found to be significantly associated with diabetes. Multilobar disease, gender, body mass index, smear and culture positivity were not significantly different between groups. CONCLUSION: Our study showed high prevalence of diabetes among active TB patients. Diabetes screening at diagnosis of active TB presents as a good opportunity to detect diabetes even in low prevalence country and has become part of our standard care.

Impact of rurality on diabetes screening in the US.

BACKGROUND: Due to the high prevalence of diabetes risk factors in rural areas, it is important to identify whether differences in diabetes screening rates between rural and urban areas exist. Thus, the purpose of this study is to examine if living in a rural area, rurality, has any influence on diabetes screening across the US. METHODS: Participants from the 2011, 2013, 2015, and 2017 nationally representative Behavioral Risk Factor Surveillance System (BRFSS) surveys who responded to a question on diabetes screening were included in the study (n = 1,889,712). Two types of marginal probabilities, average adjusted predictions (AAPs) and average marginal effects (AMEs), were estimated at the national level using this data. AAPs and AMEs allow for the assessment of the independent role of rurality on diabetes screening while controlling for important covariates. RESULTS: People who lived in urban, suburban, and rural areas all had comparable odds (Urban compared to Rural Odds Ratio (OR): 1.01, Suburbans compared to Rural OR: 0.95, 0.94) and probabilities of diabetes screening (Urban AAP: 70.47%, Suburban AAPs: 69.31 and 69.05%, Rural AAP: 70.27%). Statistically significant differences in probability of diabetes screening were observed between residents in suburban areas and rural residents (AMEs: - 0.96% and - 1.22%) but not between urban and rural residents (AME: 0.20%). CONCLUSIONS: While similar levels of diabetes screening were found in urban, suburban, and rural areas, there is arguably a need for increased diabetes screening in rural areas where the prevalence of diabetes risk factors is higher than in urban areas.

Clinical importance of the 75-g glucose tolerance test (GTT) in the prediction of large for gestational age (LGA) fetuses in non-diabetic pregnancies.

Objective To demonstrate clinical importance of the 75-g glucose tolerance test (GTT) in the prediction of large for gestational age (LGA) fetuses in non-diabetic pregnancies. Methods We retrospectively evaluated 75-g GTT screening results of 356 pregnancies without prompt diagnosis of gestational diabetes mellitus (GDM) between January 2013 and December 2017. Newborns with a birthweight greater than the 90th percentile were evaluated as LGA. Pregnancies with LGA and non-LGA fetuses were compared by demographic and historical factors - maternal age, gravidity, parity, birthweight, birthweek, GTT results and birthweight percentiles - via Student's t-test. Multiple linear regression using the backward elimination method was performed to define the correlation between parameters and LGA (P-value of <0.20 was identified as the threshold). Receiver operator characteristics (ROC) curve analysis was performed for further analysis. Results The cohort was consisted of 45 (12.6%) and 311 (87.4%) pregnancies with LGA and non-LGA fetuses, respectively. Maternal age and 2nd-h GTT results were found to be significantly higher in patients with LGA newborns (P<0.001 and P=0.016, respectively). Fasting glucose levels and GTT 1st-h results were also higher (P=0.112, P=0.065). The coefficient of multiple determination (R2) was 0.055 by multiple linear regression analysis. Accordingly, GTT 2nd-h result and maternal age were statistically significant and contributed to the explanation of LGA, although the R2 value was not that much higher (P=0.016; P=0.001). Maternal age and GTT 2nd-h results were found to be associated with LGA fetuses with area under the curve (AUC) values of 0.662 and 0.608 according to ROC curve analysis. Conclusion Maternal age and 75-g GTT 2nd-h results were significantly higher in gestations with LGA newborns without GDM.

Prevalence of undiagnosed diabetes and pre-diabetes in chronic periodontitis patients assessed by an HbA1c chairside screening protocol.

OBJECTIVES: The objective of the present study was to implement a chairside diabetes screening strategy for the identification of undiagnosed hyperglycaemia in periodontal patients. MATERIALS AND METHODS: Measurement of HbA1c was performed in patients (n = 139) diagnosed with periodontal disease to determine possible unknown hyperglycaemia. Patients fulfilled the criteria for screening according to the questionnaire by the Centers for Disease Control and Prevention (CDC). The Cobas® b101 in vitro diagnostic system was used for the measurement of glycosylated haemoglobin (HbA1c) in capillary blood. Body mass index (BMI) and waist circumference were also measured to determine splanchnic obesity. Periodontal parameters were assessed with an automated probe and included probing depth, clinical attachment loss, bleeding on probing and presence/absence of plaque. RESULTS: Most patients had moderate periodontitis. Almost 25% of the subjects tested were found to have unknown hyperglycaemia while 80.5% of them had splanchnic obesity. A significant association was found between HbA1c and BMI (Mann-Whitney test; p = 0.0021) as well as between HbA1c and waist circumference (Spearman rho test; p = 0.0007). No differences were observed regarding periodontal parameters between subjects exhibiting HbA1c ≥ 5.7% and those with HbA1c < 5.7% (Mann-Whitney test; p > 0.05) although those with HbA1c ≥ 5.7% displayed higher proportions of sites with clinical attachment loss > 5 mm (z test with Bonferroni corrections; p < 0.05). CONCLUSIONS: Periodontal patients, especially those with a bigger than normal BMI and waist circumference, are a target group worth screening for diabetes. CLINICAL RELEVANCE: The dental practitioner can contribute significantly to the worldwide effort of health care professionals in diabetes screening and referring for early diagnosis of the disease.

Performance of the 2015 US Preventive Services Task Force Screening Criteria for Prediabetes and Undiagnosed Diabetes.

BACKGROUND: In 2015, The US Preventive Services Task Force (USPSTF) recommended screening for prediabetes and undiagnosed diabetes (collectively called dysglycemia) among adults aged 40-70 years with overweight or obesity. The recommendation suggests that clinicians consider screening earlier in people who have other diabetes risk factors. OBJECTIVE: To compare the performance of limited and expanded screening criteria recommended by the USPSTF for detecting dysglycemia among US adults. DESIGN: Cross-sectional analysis of survey and laboratory data collected from nationally representative samples of the civilian, noninstitutionalized US adult population. PARTICIPANTS: A total of 3643 adults without diagnosed diabetes who underwent measurement of hemoglobin A1c (A1c), fasting plasma glucose (FPG), and 2-h plasma glucose (2-h PG). MAIN MEASURES: Screening eligibility according to the limited criteria was based on age 40 to 70 years old and overweight/obesity. Screening eligibility according to the expanded criteria was determined by meeting the limited criteria or having ≥ 1 of the following risk factors: family history of diabetes, history of gestational diabetes or polycystic ovarian syndrome, and non-white race/ethnicity. Dysglycemia was defined by A1c ≥ 5.7%, FPG ≥ 100 mg/dL, and/or 2-h PG ≥ 140 mg/dL. KEY RESULTS: Among the US adult population without diagnosed diabetes, 49.7% had dysglycemia. Screening based on the limited criteria demonstrated a sensitivity of 47.3% (95% CI, 44.7-50.0%) and specificity of 71.4% (95% CI, 67.3-75.2%). The expanded criteria yielded higher sensitivity [76.8% (95% CI, 73.5-79.8%)] and lower specificity [33.8% (95% CI, 30.1-37.7%)]. Point estimates for the sensitivity of the limited criteria were lower in all minority groups and significantly different for Asians compared to non-Hispanic whites [29.9% (95% CI, 23.4-37.2%) vs. 49.8% (95% CI, 45.9-53.7%); P < .001]. CONCLUSIONS: Diabetes screening that follows the limited USPSTF criteria will identify approximately half of US adults with dysglycemia. Screening other high-risk subgroups defined in the USPSTF recommendation would improve detection of dysglycemia and may reduce associated racial/ethnic disparities.