Study protocol for the Innovative Support for Patients with SARS-COV-2 Infections Registry (INSPIRE): A longitudinal study of the medium and long-term sequelae of SARS-CoV-2 infection.

BACKGROUND: Reports on medium and long-term sequelae of SARS-CoV-2 infections largely lack quantification of incidence and relative risk. We describe the rationale and methods of the Innovative Support for Patients with SARS-CoV-2 Registry (INSPIRE) that combines patient-reported outcomes with data from digital health records to understand predictors and impacts of SARS-CoV-2 infection. METHODS: INSPIRE is a prospective, multicenter, longitudinal study of individuals with symptoms of SARS-CoV-2 infection in eight regions across the US. Adults are eligible for enrollment if they are fluent in English or Spanish, reported symptoms suggestive of acute SARS-CoV-2 infection, and if they are within 42 days of having a SARS-CoV-2 viral test (i.e., nucleic acid amplification test or antigen test), regardless of test results. Recruitment occurs in-person, by phone or email, and through online advertisement. A secure online platform is used to facilitate the collation of consent-related materials, digital health records, and responses to self-administered surveys. Participants are followed for up to 18 months, with patient-reported outcomes collected every three months via survey and linked to concurrent digital health data; follow-up includes no in-person involvement. Our planned enrollment is 4,800 participants, including 2,400 SARS-CoV-2 positive and 2,400 SARS-CoV-2 negative participants (as a concurrent comparison group). These data will allow assessment of longitudinal outcomes from SARS-CoV-2 infection and comparison of the relative risk of outcomes in individuals with and without infection. Patient-reported outcomes include self-reported health function and status, as well as clinical outcomes including health system encounters and new diagnoses. RESULTS: Participating sites obtained institutional review board approval. Enrollment and follow-up are ongoing. CONCLUSIONS: This study will characterize medium and long-term sequelae of SARS-CoV-2 infection among a diverse population, predictors of sequelae, and their relative risk compared to persons with similar symptomatology but without SARS-CoV-2 infection. These data may inform clinical interventions for individuals with sequelae of SARS-CoV-2 infection.

Differences in U.S. Rural-Urban Trends in Diabetes ABCS, 1999-2018.

OBJECTIVE: To examine changes in and the relationships between diabetes management and rural and urban residence. RESEARCH DESIGN AND METHODS: Using National Health and Nutrition Examination Survey (1999-2018) data from 6,372 adults aged ≥18 years with self-reported diagnosed diabetes, we examined poor ABCS: A1C >9% (>75 mmol/mol), Blood pressure (BP) ≥140/90 mmHg, Cholesterol (non-HDL) ≥160 mg/dL (≥4.1 mmol/L), and current Smoking. We compared odds of urban versus rural residents (census tract population size ≥2,500 considered urban, otherwise rural) having poor ABCS across time (1999-2006, 2007-2012, and 2013-2018), overall and by sociodemographic and clinical characteristics. RESULTS: During 1999-2018, the proportion of U.S. adults with diabetes residing in rural areas ranged between 15% and 19.5%. In 1999-2006, there were no statistically significant rural-urban differences in poor ABCS. However, from 1999-2006 to 2013-2018, there were greater improvements for urban adults with diabetes than for rural for BP ≥140/90 mmHg (relative odds ratio [OR] 0.8, 95% CI 0.6-0.9) and non-HDL ≥160 mg/dL (≥4.1 mmol/L) (relative OR 0.45, 0.4-0.5). These differences remained statistically significant after adjustment for race/ethnicity, education, poverty levels, and clinical characteristics. Yet, over the 1999-2018 time period, minority race/ethnicity, lower education attainment, poverty, and lack of health insurance coverage were factors associated with poorer A, B, C, or S in urban adults compared with their rural counterparts. CONCLUSIONS: Over two decades, rural U.S. adults with diabetes have had less improvement in BP and cholesterol control. In addition, rural-urban differences exist across sociodemographic groups, suggesting that efforts to narrow this divide may need to address both socioeconomic and clinical aspects of care.

Imputed State-Level Prevalence of Achieving Goals To Prevent Complications of Diabetes in Adults with Self-Reported Diabetes - United States, 2017-2018.

Diabetes increases the risk for developing cardiovascular, neurologic, kidney, eye, and other complications. Diabetes and related complications also pose a huge economic cost to society: in 2017, the estimated total economic cost of diagnosed diabetes was $327 billion in the United States (1). Diabetes complications can be prevented or delayed through the management of blood glucose (measured by hemoglobin A1C), blood pressure (BP), and non-high-density lipoprotein cholesterol (non-HDL-C) levels, and by avoiding smoking; these are collectively known as the ABCS goals (hemoglobin A1C, Blood pressure, Cholesterol, Smoking) (2-5). Assessments of achieving ABCS goals among adults with diabetes are available at the national level (4,6); however, studies that assess state-level prevalence of meeting ABCS goals have been lacking. This report provides imputed state-level proportions of adults with self-reported diabetes meeting ABCS goals in each of the 50 U.S. states and the District of Columbia (DC). State-level estimates were created by raking and multiple imputation methods (7,8) using data from the 2009-2018 National Health and Nutrition Examination Survey (NHANES), 2017-2018 American Community Survey (ACS), and 2017-2018 Behavioral Risk Factor Surveillance System (BRFSS). Among U.S. adults with diabetes, an estimated 26.4% met combined ABCS goals, and 75.4%, 70.4%, 55.8%, and 86.0% met A1C <8%, BP <140/90 mmHg, non-HDL-C <130 mg/dL and nonsmoking goals, respectively. Public health departments could use these data in their planning efforts to achieve ABCS goal levels and reduce diabetes-related complications at the state level.

Detection of Diabetes Status and Type in Youth Using Electronic Health Records: The SEARCH for Diabetes in Youth Study.

OBJECTIVE: Diabetes surveillance often requires manual medical chart reviews to confirm status and type. This project aimed to create an electronic health record (EHR)-based procedure for improving surveillance efficiency through automation of case identification. RESEARCH DESIGN AND METHODS: Youth (<20 years old) with potential evidence of diabetes (N = 8,682) were identified from EHRs at three children's hospitals participating in the SEARCH for Diabetes in Youth Study. True diabetes status/type was determined by manual chart reviews. Multinomial regression was compared with an ICD-10 rule-based algorithm in the ability to correctly identify diabetes status and type. Subsequently, the investigators evaluated a scenario of combining the rule-based algorithm with targeted chart reviews where the algorithm performed poorly. RESULTS: The sample included 5,308 true cases (89.2% type 1 diabetes). The rule-based algorithm outperformed regression for overall accuracy (0.955 vs. 0.936). Type 1 diabetes was classified well by both methods: sensitivity (Se) (>0.95), specificity (Sp) (>0.96), and positive predictive value (PPV) (>0.97). In contrast, the PPVs for type 2 diabetes were 0.642 and 0.778 for the rule-based algorithm and the multinomial regression, respectively. Combination of the rule-based method with chart reviews (n = 695, 7.9%) of persons predicted to have non-type 1 diabetes resulted in perfect PPV for the cases reviewed while increasing overall accuracy (0.983). The Se, Sp, and PPV for type 2 diabetes using the combined method were ≥0.91. CONCLUSIONS: An ICD-10 algorithm combined with targeted chart reviews accurately identified diabetes status/type and could be an attractive option for diabetes surveillance in youth.

Screening for SARS-CoV-2 Infection Within a Psychiatric Hospital and Considerations for Limiting Transmission Within Residential Psychiatric Facilities - Wyoming, 2020.

In the United States, approximately 180,000 patients receive mental health services each day at approximately 4,000 inpatient and residential psychiatric facilities (1). SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), can spread rapidly within congregate residential settings (2-4), including psychiatric facilities. On April 13, 2020, two patients were transferred to Wyoming's state psychiatric hospital from a private psychiatric hospital that had confirmed COVID-19 cases among its residents and staff members (5). Although both patients were asymptomatic at the time of transfer and one had a negative test result for SARS-CoV-2 at the originating facility, they were both isolated and received testing upon arrival at the state facility. On April 16, 2020, the test results indicated that both patients had SARS-CoV-2 infection. In response, the state hospital implemented expanded COVID-19 infection prevention and control (IPC) procedures (e.g., enhanced screening, testing, and management of new patient admissions) and adapted some standard IPC measures to facilitate implementation within the psychiatric patient population (e.g., use of modified face coverings). To assess the likely effectiveness of these procedures and determine SARS-CoV-2 infection prevalence among patients and health care personnel (HCP) (6) at the state hospital, a point prevalence survey was conducted. On May 1, 2020, 18 days after the patients' arrival, 46 (61%) of 76 patients and 171 (61%) of 282 HCP had nasopharyngeal swabs collected and tested for SARS-CoV-2 RNA by reverse transcription-polymerase chain reaction. All patients and HCP who received testing had negative test results, suggesting that the hospital's expanded IPC strategies might have been effective in preventing the introduction and spread of SARS-CoV-2 infection within the facility. In congregate residential settings, prompt identification of COVID-19 cases and application of strong IPC procedures are critical to ensuring the protection of other patients and staff members. Although standard guidance exists for other congregate facilities (7) and for HCP in general (8), modifications and nonstandard solutions might be needed to account for the specific needs of psychiatric facilities, their patients, and staff members.

Eye Care Among US Adults at High Risk for Vision Loss in the United States in 2002 and 2017.

Importance: Timely eye care can prevent unnecessary vision loss. Objectives: To estimate the number of US adults 18 years or older at high risk for vision loss in 2017 and to evaluate use of eye care services in 2017 compared with 2002. Design, Setting, and Participants: This survey study used data from the 2002 (n = 30 920) and 2017 (n = 32 886) National Health Interview Survey, an annual, cross-sectional, nationally representative sample of US noninstitutionalized civilians. Analysis excluded respondents younger than 18 years and those who were blind or unable to see. Covariates included age, sex, race/ethnicity, marital status, educational level, income-to-poverty ratio, health insurance status, diabetes diagnosis, vision or eye problems, and US region of residence. Main Outcomes and Measures: Three self-reported measures were visiting an eye care professional in the past 12 months, receiving a dilated eye examination in the past 12 months, and needing but being unable to afford eyeglasses in the past 12 months. Adults at high risk for vision loss included those who were 65 years or older, self-reported a diabetes diagnosis, or had vision or eye problems. Multivariable logistic regression models incorporating sampling weights were used to investigate associations between measures and covariates. Temporal comparisons between 2002 and 2017 were derived from estimates standardized to the US 2010 census population. Results: Among 30 920 individuals in 2002, 16.0% were 65 years or older, and 52.0% were female; among 32 886 individuals in 2017, 20.0% were 65 years or older, and 51.8% were female. In 2017, more than 93 million US adults (37.9%; 95% CI, 37.0%-38.7%) were at high risk for vision loss compared with almost 65 million (31.5%; 95% CI, 30.7%-32.3%) in 2002, a difference of 6.4 (95% CI, 5.2-7.6) percentage points. Use of eye care services improved (56.9% [95% CI, 55.7%-58.7%] reported visiting an eye care professional annually, and 59.8% [95% CI, 58.6%-61.0%] reported receiving a dilated eye examination), but 8.7% (95% CI, 8.0%-9.5%) said they could not afford eyeglasses (compared with 51.1% [95% CI, 49.9%-52.3%], 52.4% [95% CI, 51.2%-53.6%], and 8.3% [95% CI, 7.7%-8.9%], respectively, in 2002). In 2017, individuals with lower income compared with high income were more likely to report eyeglasses as unaffordable (13.6% [95% CI, 11.6%-15.9%] compared with 5.7% [95% CI, 4.9%-6.6%]). Conclusions and Relevance: Compared with data from 2002, more US adults were at high risk for vision loss in 2017. Although more adults used eye care, a larger proportion reported eyeglasses as unaffordable. Focusing resources on populations at high risk for vision loss, increasing awareness of the importance of eye care, and making eyeglasses more affordable could promote eye health, preserve vision, and reduce disparities.

Receipt of recommended complications and comorbidities screening in youth and young adults with type 1 diabetes: Associations with metabolic status and satisfaction with care.

OBJECTIVES: This study sought to: (a) assess the prevalence of diabetes complications and comorbidities screening as recommended by the American Diabetes Association (ADA) for youth and young adults (YYAs) with type 1 diabetes (T1D), (b) examine the association of previously measured metabolic status related to diabetes complications with receipt of recommended clinical screening, and (c) examine the association of satisfaction with diabetes care with receipt of recommended clinical screening. METHODS: The study included 2172 SEARCH for Diabetes in Youth participants with T1D (>10 years old, diabetes duration >5 years). Mean participant age was 17.7 ± 4.3 years with a diabetes duration of 8.1 ± 1.9 years. Linear and multinomial regression models were used to evaluate associations. RESULTS: Sixty percent of participants reported having three or more hemoglobin A1c (HbA1c) measurements in the past year. In terms of diabetes complications screening, 93% reported having blood pressure measured, 81% having an eye examination, 71% having lipid levels checked, 64% having a foot exam, and 63% completing albuminuria screening in accordance with ADA recommendations. Youth known to have worse glycemic control in the past had higher odds of not meeting HbA1c screening criteria (OR 1.11, 95% CI = 1.05, 1.17); however, after adjusting for race/ethnicity, this was no longer statistically significant. Greater satisfaction with diabetes care was associated with increased odds of meeting screening criteria for most of the ADA-recommended measures. CONCLUSIONS: Efforts should be made to improve diabetes complications screening efforts for YYAs with T1D, particularly for those at higher risk for diabetes complications.

The Cardiometabolic Risk Profile of Young Adults With Diabetes in the U.S.

OBJECTIVE: We examined young adults with and young adults without diabetes by using demographic data and cardiometabolic risk profiles and compared the risk profiles of younger versus older (aged ≥45 years) adults with diabetes. RESEARCH DESIGN AND METHODS: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 2007-2016. Diabetes was defined by self-report of health care provider diagnosis or by A1C levels of 6.5% or higher among those without a self-reported diagnosis. The cardiometabolic risk profile included adiposity, blood pressure, serum lipids, healthy eating, physical activity (PA), and exposure to tobacco smoke. Adjusted difference in difference was calculated as the difference among younger adults with and younger adults without diabetes minus the difference among older adults with and older adults without diabetes. RESULTS: Adults with diabetes in both age-groups had higher levels of adiposity, hypertension, and cholesterol and lower levels of healthy eating and leisure-time PA. However, the differences in high cholesterol and adiposity by diabetes status were greater among young adults compared with older adults after adjustment for demographics and health insurance status. Elevated lipids were 9.6 percentage points higher (95% CI 4.6, 14.5) and obesity was 37.3 percentage points higher (95% CI 31.8, 42.7) among young adults with diabetes compared with those without diabetes than among older adults with diabetes compared with those without diabetes. CONCLUSIONS: Young adults with diabetes have high rates of cardiometabolic risk factors, which can lead to an increased disease prevalence and mortality rate among these individuals as they age.

Vision Impairment and Subjective Cognitive Decline-Related Functional Limitations - United States, 2015-2017.

Vision impairment affects approximately 3.22 million persons in the United States and is associated with social isolation, disability, and decreased quality of life (1). Cognitive decline is more common in adults with vision impairment (2,3). Subjective cognitive decline (SCD), which is the self-reported experience of worsening or more frequent confusion or memory loss within the past 12 months, affects 11.2% of adults aged ≥45 years in the United States (4). One consequence of SCD is the occurrence of functional limitations, especially those related to usual daily activities; however, it is not known whether persons with vision impairment are more likely to have functional limitations related to SCD (4). This report describes the association of vision impairment and SCD-related functional limitations using Behavioral Risk Factor Surveillance System (BRFSS) surveys for the years 2015-2017. Adjusting for age group, sex, race/ethnicity, education level, health insurance, and smoking status, 18% of adults aged ≥45 years who reported vision impairment also reported SCD-related functional limitations, compared with only 4% of those without vision impairment. Preventing, reducing, and correcting vision impairments might lead to a decrease in SCD-related functional limitations among adults in the United States.

Identifying High-Risk Individuals for Chronic Kidney Disease: Results of the CHERISH Community Demonstration Project.

BACKGROUND: Most people with chronic kidney disease (CKD) are not aware of their condition. OBJECTIVES: To assess screening criteria in identifying a population with or at high risk for CKD and to determine their level of control of CKD risk factors. METHOD: CKD Health Evaluation Risk Information Sharing (CHERISH), a demonstration project of the Centers for Disease Control and Prevention, hosted screenings at 2 community locations in each of 4 states. People with diabetes, hypertension, or aged ≥50 years were eligible to participate. In addition to CKD, screening included testing and measures of hemoglobin A1C, blood pressure, and lipids. -Results: In this targeted population, among 894 people screened, CKD prevalence was 34%. Of participants with diabetes, 61% had A1C < 7%; of those with hypertension, 23% had blood pressure < 130/80 mm Hg; and of those with high cholesterol, 22% had low-density lipoprotein < 100 mg/dL. CONCLUSIONS: Using targeted selection criteria and simple clinical measures, CHERISH successfully identified a population with a high CKD prevalence and with poor control of CKD risk factors. CHERISH may prove helpful to state and local programs in implementing CKD detection programs in their communities.

Cardiovascular and renal burdens of prediabetes in the USA: analysis of data from serial cross-sectional surveys, 1988-2014.

BACKGROUND: There is controversy over the usefulness of prediabetes as a diagnostic label. Using data from US National Health and Nutrition Examination Surveys (NHANES) between 1988 and 2014, we examined the cardiovascular and renal burdens in adults with prediabetes over time and compared patterns with other glycaemic status groups. METHODS: We analysed cross-sectional survey data from non-pregnant adults aged 20 years and older from the NHANES survey periods 1988-94, 1999-2004, 2005-10, and 2011-14. We defined diagnosed diabetes as patients' self-report that they had been previously diagnosed by a physician or health professional; among those with no self-reported diabetes, prediabetes was defined as a fasting plasma glucose (FPG) concentration of 100-125 mg/dL (5·6-6·9 mmol/L) or an HbA1c of 5·7-6·4% (39-47 mmol/mol); undiagnosed diabetes as an FPG of 126 mg/dL (7·0 mmol/L) or higher or an HbA1c of 6·5% (48 mmol/mol) or higher; and normal glycaemic status as an FPG of less than 100 mg/dL (5·6 mmol/L) and an HbA1c of less than 5·7% (39 mmol/mol). We repeated the analyses using varying definitions of prediabetes (FPG 110-125 mg/dL [6·1-6·9 mmol/L] or HbA1c 5·7-6·4% [39-47 mmol/mol], FPG 110-125 mg/dL [6·1-6·9 mmol/L] or HbA1c 6·0-6·4% [42-47 mmol/mol], and FPG 100-125 mg/dL [5·6-6·9 mmol/L] and HbA1c 5·7-6·4% [39-47 mmol/mol]). For each group over time, we estimated the prevalences of hypertension and dyslipidaemia; and among individuals with those conditions, we estimated the proportions who had been treated and who were achieving care goals. By glycaemic group, we estimated those who were current, former, and never smokers; mean 10-year risk of cardiovascular disease (using estimators from the Framingham Heart Study, the United Kingdom Prospective Diabetes Study (UKPDS), and the ACC/AHA ASCVD guidelines); albuminuria (median and albumin-to-creatinine ratio ≥30 mg/g), estimated glomerular filtration rate (eGFR; mean and <60 mL/min per 1·73m2); and prevalence of myocardial infarction and stroke. For all estimates, we calculated predicted changes between 1988-94 and 2011-14 using logistic regression models adjusted for age, sex, and race or ethnic group. FINDINGS: We obtained data for 27 971 eligible individuals. In 2011-14, in the population of adults with prediabetes, 36·6% (95% CI 32·8-40·5) had hypertension, 51·2% (47·0-55·3) had dyslipidaemia, 24·3% (21·7-27·3) smoked; 7·7% (6·8-8·8) had albuminuria; 4·6% (3·7-5·9) had reduced eGFR; and 10-year cardiovascular event risk ranged from 5% to 7%. From 1988-94 to 2011-14, adults with prediabetes showed significant increases in hypertension (+9·7 percentage points [95% CI 5·4-14·0]); no change in dyslipidaemia; decreases in smoking (-6·4 percentage points [-10·7 to -2·1]); increased use of treatment to lower blood pressure (54·2% [49·0-59·3] to 81·4% [76·7-85·3], +27·2 percentage points [20·5-33·8] p<0·0001) and to reduce lipids (6·6% to 40·2%, +33·6 percentage points [30·2-37·0], p<0·0001); and increased goal achievements for blood pressure (25·8% to 62·0%, +36·2 percentage points [30·7-41·8], p<0·0001) and lipids (1·0% to 32·8%, +31·8 percentage points [29·1-34·4, p<0·0001]). People with prediabetes also showed decreases in cardiovascular risk (ASCVD -1·9 percentage points [-2·5 to -1·3] to UKPDS -2·7 [-3·5 to -1·9], p<0·0001); but no change in prevalence of albuminuria, reduced eGFR, myocardial infarction, or stroke. Prevalence and patterns were consistent across all prediabetes definitions examined. Compared with adults with prediabetes, adults with diagnosed diabetes showed much larger improvements in cardiovascular and renal risk treatments, apart from smoking, which did not decline. INTERPRETATION: Over 25 years, cardiovascular and renal risks and disease have become highly prevalent in adults with prediabetes, irrespective of the definitions used. Identification of people with prediabetes might increase the opportunity for cardiovascular and renal risk reduction. FUNDING: None.

Multimorbidity of four cardiometabolic and chronic pulmonary disease groups: prevalence and attributable fraction in US adults, 2007-2012.

BACKGROUND: Cardiometabolic and chronic pulmonary diseases may be associated with modifiable risk factors that can be targeted to prevent multimorbidity. OBJECTIVES: (i) Estimate the prevalence of multimorbidity across four cardiometabolic and chronic pulmonary disease groups; (ii) compare the prevalence of multimorbidity to that of one disease and no disease; and (iii) quantify population attributable fractions (PAFs) for modifiable risk factors of multimorbidity. DESIGN: Data from adults aged 18-79 years who participated in the US National Health and Nutrition Examination Survey 2007-2012 were examined. Multimorbidity was defined as ≥2 co-occurring diseases across four common cardiometabolic and chronic pulmonary disease groups. Multivariate-adjusted PAFs for poverty, obesity, smoking, hypertension, and low high-density lipoprotein (HDL) cholesterol were estimated. RESULTS: Among 16,676 adults, the age-standardized prevalence of multimorbidity was 9.3%. The occurrence of multimorbidity was greater with age, from 1.5% to 5.9%, 15.0% and 34.8% for adults aged 18-39, 40-54, 55-64 and 65-79 years, respectively. Multimorbidity was greatest among the poorest versus non-poorest adults and among blacks versus other races/ethnicities. Multimorbidity was also greater in adults with obesity, hypertension, and low HDL cholesterol. Risk factors with greatest PAFs were hypertension (38.8%; 95% confidence interval [CI] 29.4-47.4) and obesity (19.3%; 95% CI 10.2-28.2). CONCLUSIONS: In the USA, 9.3% of adults have multimorbidity across four chronic disease groups, with a disproportionate burden among older, black, and poor adults. Our results suggest that targeting two intermediate modifiable risk factors, hypertension and obesity, might help to reduce the prevalence of multimorbidity in US adults.

Serum cystatin C in youth with diabetes: The SEARCH for diabetes in youth study.

AIMS: We compared cystatin C in youth with versus without diabetes and determined factors associated with cystatin C in youth with type 1 diabetes (T1D) and type 2 diabetes (T2D). METHODS: Youth (ages 12-19years) without diabetes (N=544) were ascertained from the NHANES Study 2000-2002 and those with T1D (N=977) and T2D (N=168) from the SEARCH for Diabetes in Youth Study. Adjusted means of cystatin C concentrations were compared amongst the 3 groups. Next, we performed multivariable analyses within the T1D and T2D SEARCH samples to determine the association between cystatin C and race, sex, age, diabetes duration, HbA1c, fasting glucose, and BMI. RESULTS: Adjusted cystatin C concentrations were statistically higher in NHANES (0.85mg/L) than in either the T1D (0.75mg/L) or T2D (0.70mg/L) SEARCH groups (P<0.0001). Fasting glucose was inversely related to cystatin C only in T1D (P<0.001) and BMI positively associated only in T2D (P<0.01) while HbA1c was inversely associated in both groups. CONCLUSIONS: Cystatin C concentrations are statistically higher in youth without diabetes compared to T1D or T2D, however the clinical relevance of this difference is quite small, especially in T1D. In youth with diabetes, cystatin C varies with BMI and acute and chronic glycemic control, however their effects may be different according to diabetes type.

Prevalence of and Risk Factors for Diabetic Peripheral Neuropathy in Youth With Type 1 and Type 2 Diabetes: SEARCH for Diabetes in Youth Study.

OBJECTIVE: We assessed the prevalence of and risk factors for diabetic peripheral neuropathy (DPN) in youth with type 1 diabetes (T1D) and type 2 diabetes (T2D) enrolled in the SEARCH for Diabetes in Youth (SEARCH) study. RESEARCH DESIGN AND METHODS: The Michigan Neuropathy Screening Instrument (MNSI) was used to assess DPN in 1,734 youth with T1D (mean ± SD age 18 ± 4 years, T1D duration 7.2 ± 1.2 years, and HbA1c 9.1 ± 1.9%) and 258 youth with T2D (age 22 ± 3.5 years, T2D duration 7.9 ± 2 years, and HbA1c 9.4 ± 2.3%) who were enrolled in the SEARCH study and had ≥5 years of diabetes duration. DPN was defined as an MNSI exam score of >2. Glycemic control over time was estimated as area under the curve for HbA1c. RESULTS: The prevalence of DPN was 7% in youth with T1D and 22% in youth with T2D. Risk factors for DPN in youth with T1D were older age, longer diabetes duration, smoking, increased diastolic blood pressure, obesity, increased LDL cholesterol and triglycerides, and lower HDL cholesterol (HDL-c). In youth with T2D, risk factors were older age, male sex, longer diabetes duration, smoking, and lower HDL-c. Glycemic control over time was worse among those with DPN compared with those without for youth with T1D (odds ratio 1.53 [95% CI 1.24; 1.88]) but not for youth with T2D (1.05 [0.7; 1.56]). CONCLUSIONS: The high rates of DPN among youth with diabetes are a cause of concern and suggest a need for early screening and better risk factor management. Interventions in youth that address poor glycemic control and dyslipidemia may prevent or delay debilitating neuropathic complications.

Potential Impact of Prescribing Metformin According to eGFR Rather Than Serum Creatinine.

OBJECTIVE: Many societies recommend using estimated glomerular filtration rate (eGFR) rather than serum creatinine (sCr) to determine metformin eligibility. We examined the potential impact of these recommendations on metformin eligibility among U.S. adults. RESEARCH DESIGN AND METHODS: Metformin eligibility was assessed among 3,902 adults with diabetes who participated in the 1999-2010 National Health and Nutrition Examination Surveys and reported routine access to health care, using conventional sCr thresholds (eligible if <1.4 mg/dL for women and <1.5 mg/dL for men) and eGFR categories: likely safe, ≥45 mL/min/1.73 m(2); contraindicated, <30 mL/min/1.73 m(2); and indeterminate, 30-44 mL/min/1.73 m(2)). Different eGFR equations were used: four-variable MDRD, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine (CKD-EPIcr), and CKD-EPI cystatin C, as well as Cockcroft-Gault (CG) to estimate creatinine clearance (CrCl). Diabetes was defined by self-report or A1C ≥6.5% (48 mmol/mol). We used logistic regression to identify populations for whom metformin was likely safe adjusted for age, race/ethnicity, and sex. Results were weighted to the U.S. adult population. RESULTS: Among adults with sCr above conventional cutoffs, MDRD eGFR ≥45 mL/min/1.73 m(2) was most common among men (adjusted odds ratio [aOR] 33.3 [95% CI 7.4-151.5] vs. women) and non-Hispanic Blacks (aOR vs. whites 14.8 [4.27-51.7]). No individuals with sCr below conventional cutoffs had an MDRD eGFR <30 mL/min/1.73 m(2). All estimating equations expanded the population of individuals for whom metformin is likely safe, ranging from 86,900 (CKD-EPIcr) to 834,800 (CG). All equations identified larger populations with eGFR 30-44 mL/min/1.73 m(2), for whom metformin safety is indeterminate, ranging from 784,700 (CKD-EPIcr) to 1,636,000 (CG). CONCLUSIONS: The use of eGFR or CrCl to determine metformin eligibility instead of sCr can expand the adult population with diabetes for whom metformin is likely safe, particularly among non-Hispanic blacks and men.

Receipt of Glucose Testing and Performance of Two US Diabetes Screening Guidelines, 2007-2012.

BACKGROUND: Screening guidelines are used to help identify prediabetes and diabetes before implementing evidence-based prevention and treatment interventions. We examined screening practices benchmarking against two US guidelines, and the capacity of each guideline to identify dysglycemia. METHODS: Using 2007-2012 National Health and Nutrition Examination Surveys, we analyzed nationally-representative, cross-sectional data from 5,813 fasting non-pregnant adults aged ≥20 years without self-reported diabetes. We examined proportions of adults eligible for diagnostic glucose testing and those who self-reported receiving testing in the past three years, as recommended by the American Diabetes Association (ADA) and the US Preventive Services Task Force (USPSTF-2008) guidelines. For each screening guideline, we also assessed sensitivity, specificity, and positive (PPV) and negative predictive values in identifying dysglycemia (defined as fasting plasma glucose ≥100 mg/dl or hemoglobin A1c ≥5.7%). RESULTS: In 2007-2012, 73.0% and 23.7% of US adults without diagnosed diabetes met ADA and USPSTF-2008 criteria for screening, respectively; and 91.5% had at least one major risk factor for diabetes. Of those ADA- or USPSTF-eligible adults, about 51% reported being tested within the past three years. Eligible individuals not tested were more likely to be lower educated, poorer, uninsured, or have no usual place of care compared to tested eligible adults. Among adults with ≥1 major risk factor, 45.7% reported being tested, and dysglycemia yields (i.e., PPV) ranged from 45.8% (high-risk ethnicity) to 72.6% (self-reported prediabetes). ADA criteria and having any risk factor were more sensitive than the USPSTF-2008 guideline (88.8-97.7% vs. 31.0%) but less specific (13.5-39.7% vs. 82.1%) in recommending glucose testing, resulting in lower PPVs (47.7-54.4% vs. 58.4%). CONCLUSION: Diverging recommendations and variable performance of different guidelines may be impeding national diabetes prevention and treatment efforts. Efforts to align screening recommendations may result in earlier identification of adults at high risk for prediabetes and diabetes.

Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study.

BACKGROUND: The performance of automated algorithms for childhood diabetes case ascertainment and type classification may differ by demographic characteristics. OBJECTIVE: This study evaluated the potential of administrative and electronic health record (EHR) data from a large academic care delivery system to conduct diabetes case ascertainment in youth according to type, age, and race/ethnicity. SUBJECTS: Of 57 767 children aged <20 yr as of 31 December 2011 seen at University of North Carolina Health Care System in 2011 were included. METHODS: Using an initial algorithm including billing data, patient problem lists, laboratory test results, and diabetes related medications between 1 July 2008 and 31 December 2011, presumptive cases were identified and validated by chart review. More refined algorithms were evaluated by type (type 1 vs. type 2), age (<10 vs. ≥10 yr) and race/ethnicity (non-Hispanic White vs. 'other'). Sensitivity, specificity, and positive predictive value were calculated and compared. RESULTS: The best algorithm for ascertainment of overall diabetes cases was billing data. The best type 1 algorithm was the ratio of the number of type 1 billing codes to the sum of type 1 and type 2 billing codes ≥0.5. A useful algorithm to ascertain youth with type 2 diabetes with 'other' race/ethnicity was identified. Considerable age and racial/ethnic differences were present in type-non-specific and type 2 algorithms. CONCLUSIONS: Administrative and EHR data may be used to identify cases of childhood diabetes (any type), and to identify type 1 cases. The performance of type 2 case ascertainment algorithms differed substantially by race/ethnicity.

Trends in cardiovascular disease risk factors by obesity level in adults in the United States, NHANES 1999-2010.

OBJECTIVE: To assess whether trends in cardiovascular disease (CVD) risk factors by among overweight and obese US adults have improved. METHODS: The study included 10,568 adults 18 years and older who participated in National Health and Nutrition Examination Survey 1999-2010. CVD risk factors included diabetes (self-reported diagnosis, glycated hemoglobin ≥6.5%, or fasting plasma glucose ≥126mg/dl), hypertension (treatment or blood pressure ≥140/90 mmHg), dyslipidemia (treatment or non-HDL cholesterol ≥160 mg/dl), and smoking (self-report or cotinine levels ≥10 ng/ml). The prevalence and temporal trends of CVD risk factors for each BMI group were estimated. RESULTS: In 2007-2010, the prevalence of diabetes, hypertension, and dyslipidemia was highest among obese (18.5%, 35.7%, 49.7%, respectively) followed by overweight (8.2%, 26.4%, 44.2%, respectively) and normal weight adults (5.4%, 19.8%, 28.6%, respectively). Smoking exposure was highest among normal weight (29.8%) followed by overweight (24.8%) and obese adults (24.6%). From 1999-2002 to 2007-2010, untreated hypertension decreased among obese and overweight adults and untreated dyslipidemia decreased for all weight groups. There were no significant temporal changes in smoking across BMI groups. CONCLUSIONS: Despite decreases in untreated risk factors, it is important to improve the CVD risk profile of overweight and obese US adults.

Diabetes self-management education patterns in a US population-based cohort of youth with type 1 diabetes.

PURPOSE: The purpose of this study is to describe (1) the receipt of diabetes self-management education (DSME) in a large, diverse cohort of US youth with type 1 diabetes (T1DM), (2) the segregation of self-reported DSME variables into domains, and (3) the demographic and clinical characteristics of youth who receive DSME. METHODS: Data are from the US population-based cohort SEARCH for Diabetes in Youth. A cross-sectional analysis was employed using data from 1273 youth <20 years of age at the time of diagnosis of T1DM. Clusters of 19 self-reported DSME variables were derived using factor analysis, and their associations with demographic and clinical characteristics were evaluated using polytomous logistic regression. RESULTS: Nearly all participants reported receiving DSME content consistent with "survival skills" (eg, target blood glucose and what to do for low or high blood glucose), yet gaps in continuing education were identified (eg, fewer than half of the participants reported receiving specific medical nutrition therapy recommendations). Five DSME clusters were explored: receipt of specific MNT recommendations, receipt of diabetes information resources, receipt of clinic visit information, receipt of specific diabetes information, and met with educator or nutritionist. Factor scores were significantly associated with demographic and clinical characteristics, including race/ethnicity, socioeconomic status, and diabetes self-management practices. CONCLUSIONS: Health care providers should work together to address reported gaps in DSME to improve patient care.

Cardiometabolic risk factors among US adolescents and young adults and risk of early mortality.

OBJECTIVE: To determine the risk of mortality associated with cardiometabolic risk factors in a national sample of adolescents and young adults. METHODS: Prospective study of participants in the third NHANES (1988-1994), aged 12 to 39 years at the time of the survey (n = 9245). Risk factors included 3 measures of adiposity, glycated hemoglobin (HbA1c) level, cholesterol levels, blood pressure, self-reported smoking status, and cotinine level. Death before age 55 (n = 298) was determined by linkage to the National Death Index through 2006. Proportional hazards models, with age as the time scale, were used to determine the risk of death before age 55 years after adjusting for gender, race/ethnicity, and presence of comorbid conditions. RESULTS: After adjusting for age, gender, and race/ethnicity, results of categorical analyses showed that current smokers were at 86% greater risk for early death than those classified as never smokers; that those with a waist-to-height ratio >0.65 were at 139% greater risk than those with a WHR <0.5; and that those with an HbA1c level >6.5% were at 281% greater risk than those with an HbA1c level <5.7%. Neither high-density lipoprotein nor non-high-density lipoprotein cholesterol measures were associated with risk for early death. CONCLUSIONS: Our finding that risk for death before age 55 among US adolescents and young adults was associated with central obesity, smoking, and hyperglycemia supports reducing the prevalence of these risk factors among younger US residents.