A Retrospective Analysis of Therapeutic Inertia in Type 2 Diabetes Management Across a Diverse Population of Health Care Organizations in the USA.

INTRODUCTION: If their target glycated hemoglobin (HbA1c) is not achieved after 3 months, timely treatment intensification is recommended in people with type 2 diabetes to maintain glycemic control and minimize vascular complications. We retrospectively investigated potential therapeutic inertia in the management of type 2 diabetes in multiple health care organizations across the USA. METHODS: Electronic health records were analyzed from 22 American Medical Group Association (AMGA) health care organizations. Bolus insulin-naïve patients with type 2 diabetes and HbA1c ≥ 8.0% (≥ 64 mmol/mol) at baseline were followed for 24 months to identify the frequency and average duration of therapeutic inertia (no new class of glucose-lowering medication prescribed, or not achieving their target HbA1c [< 8.0%; < 64 mmol/mol]). RESULTS: The study cohort comprised almost 28,000 patients. Therapeutic inertia was observed in ≈ 50% of patients after 6 months, and in > 10% after 24 months. Less therapeutic inertia was observed in patients receiving one or no oral antidiabetic drugs (OADs) (36% or 28%, respectively, at 6 months), while more inertia was seen following multiple OADs or basal insulin (54% of those on baseline basal insulin at 6 months). Although an observable action was recorded for 90% of patients, many (44%) had still not achieved their target HbA1c after 24 months. CONCLUSION: The results corroborate the presence of therapeutic inertia in people with type 2 diabetes, suggesting that treatment intensification guidelines are not being followed. Extensive variability in the presence of therapeutic inertia was observed both across and within organizations; investigating this further and sharing best practices across providers might help improve the quality of patient care at organizational and national levels.

People with type 2 diabetes have their glycated hemoglobin (HbA_1c) level measured regularly by their care provider to check their blood sugar levels over the previous 2­3 months and the diabetes control achieved with their current treatment. To keep HbA_1c within an individually recommended range, changes to therapies or doses may be needed, which is known as 'treatment intensification.' Despite guidelines describing this best-practice approach, 'therapeutic inertia' (not intensifying treatment when needed) is common. This therapeutic inertia may be a result of complicated or confusing guidelines, a lack of time or awareness/understanding on the part of the health care provider, or patient-specific barriers such as treatment cost or fear of side effects. Due to therapeutic inertia, patients can have poorly controlled diabetes for a long time, increasing their risk of other diabetes-related health problems or complications. This study describes widespread therapeutic inertia in the management of type 2 diabetes across the USA, suggesting that treatment intensification in patients with poor diabetes control is not taking place when needed. Diabetes-related health complications caused by poorly controlled disease over a period of time can significantly reduce quality of life. Diabetes and its complications also increase costs for the health care system due to the resulting medical costs and diabetes-related reductions in productivity. It is important to encourage early diagnosis of diabetes and appropriate and timely treatment. Investigating the variations in therapeutic inertia seen within and between health care organizations and sharing the lessons learned by the top-performing organizations may help spread best practices and improve the quality of patient care.

Simulating the Fiscal Impact of Anti-Obesity Medications as an Obesity Reduction Strategy.

While substantial public health investment in anti-smoking initiatives has had demonstrated benefits on health and fiscal outcomes, similar investment in reducing obesity has not been undertaken, despite the substantial burden obesity places on society. Anti-obesity medications (AOMs) are poorly prescribed despite evidence that weight loss is not sustained using other strategies alone.We used a simulation model to estimate the potential impact of 100% uptake of AOMs on Medicare and Medicaid spending, disability payments, and taxes collected relative to status quo with negligible AOM use. Relative to status quo, AOM use simulation would result in Medicare and Medicaid savings of $231.5 billion and $188.8 billion respectively over 75 years. Government tax revenues would increase by $452.8 billion. Overall, the net benefit would be $746.6 billion. Anti-smoking efforts have had substantial benefits for society. A similar investment in obesity reduction, including broad use of AOMs, should be considered.

The Probability of A1C Goal Attainment in Patients With Uncontrolled Type 2 Diabetes in a Large Integrated Delivery System: A Prediction Model.

OBJECTIVE: To assess patient characteristics and treatment factors associated with uncontrolled type 2 diabetes (T2D) and the probability of hemoglobin A1c (A1C) goal attainment. RESEARCH DESIGN AND METHODS: This was a retrospective cohort study using the electronic health record at Cleveland Clinic. Patients with uncontrolled T2D (A1C >9%) were identified on the index date of 31 December 2016 (n = 6,973) and grouped by attainment (n = 1,653 [23.7%]) or nonattainment (n = 5,320 [76.3%]) of A1C <8% by 31 December 2017, and subgroups were compared on a number of demographic and clinical variables. On the basis of these variables, a nomogram was created for predicting probability of A1C goal attainment. RESULTS: For the entire population, median age at index date was 57.7 years (53.3% male), and the majority were white (67.2%). Median A1C was 10.2%. Obesity (50.6%), cardiovascular disease (46.9%), and psychiatric disease (61.1%) were the most common comorbidities. Metformin (62.7%) and sulfonylureas (38.7%) were the most common antidiabetes medications. Only 1,653 (23.7%) patients achieved an A1C <8%. Predictors of increased probability of A1C goal attainment were older age, white/non-Hispanic race/ethnicity, Medicare health insurance, lower baseline A1C, higher frequency of endocrinology/primary care visits, dipeptidyl peptidase 4 inhibitor use, thiazolidinedione use, metformin use, glucagon-like peptide 1 receptor agonist use, and fewer classes of antidiabetes drugs. Factors associated with lower probability included insulin use and longer time in the T2D database (both presumed as likely surrogates for duration of T2D). CONCLUSIONS: A minority of patients with an A1C >9% achieved an A1C <8% at 1 year. While most identified predictive factors are nonmodifiable by the clinician, pursuit of frequent patient engagement and tailored drug regimens may help to improve A1C goal attainment.

Association between shared medical appointments and weight loss outcomes and anti-obesity medication use in patients with obesity.

OBJECTIVE: In shared medical appointments (SMAs), multiple patients with a similar clinical diagnosis are seen by a multidisciplinary team for interactive group sessions. Very few studies have specifically studied SMAs and weight loss in patients with obesity. This study compared weight loss outcomes and anti-obesity medication (AOM) access between patients with obesity managed through (SMAs) versus individual appointments. METHODS: Retrospective study of adults seen for obesity between September 2014 and February 2017 at Cleveland Clinic Institute of Endocrinology and Metabolism. Percent weight loss from baseline was compared between two propensity score-matched populations: patients who attended ≥1 SMA and patients managed with individual medical appointments. RESULTS: From all eligible patients identified (n=310 SMA, n=1,993 non-SMA), 301 matched pairs were evaluated for weight loss. The SMA group (n=301) lost a mean of 4.2%, 5.2% and 3.8% of baseline weight over 6, 12 and 24 months; the non-SMA group (n=301) lost significantly less weight (1.5%, 1.8% and 1.6%, respectively) (paired t-test, P<.05). All patients were eligible for US Food and Drug Administration-approved AOMs based on obesity diagnosis; however, 49.8% (150/301) of matched SMA patients were prescribed an AOM versus 12.3% (37/301) of matched non-SMA patients. CONCLUSION: This study suggests that SMAs may offer a promising alterative for obesity management and one that may facilitate greater utilization of AOMs. In propensity score-matched cohorts, SMAs were associated with greater weight loss outcomes when compared to usual care facilitated through individual medical appointments alone.

Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System.

OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypoglycemia (NSH) in patients with type 2 diabetes and no NSH documentation by diagnosis codes and to measure if NLP detection improves the prediction of future severe hypoglycemia (SH). RESEARCH DESIGN AND METHODS: From 2005 to 2017, we identified NSH events by diagnosis codes and NLP. We then built an SH prediction model. RESULTS: There were 204,517 patients with type 2 diabetes and no diagnosis codes for NSH. Evidence of NSH was found in 7,035 (3.4%) of patients using NLP. We reviewed 1,200 of the NLP-detected NSH notes and confirmed 93% to have NSH. The SH prediction model (C-statistic 0.806) showed increased risk with NSH (hazard ratio 4.44; P < 0.001). However, the model with NLP did not improve SH prediction compared with diagnosis code-only NSH. CONCLUSIONS: Detection of NSH improved with NLP in patients with type 2 diabetes without improving SH prediction.

The prevalence of cardiovascular disease by vascular bed and impact on healthcare costs in a large, real-world population with type 2 diabetes.

INTRODUCTION: The purpose of this study was to assess prevalence of atherosclerotic cardiovascular disease (ASCVD) according to number of affected vascular beds and the impact on healthcare utilization and costs in persons with type 2 diabetes mellitus (type 2 DM) and established ASCVD. METHODS: In this retrospective, cross-sectional analysis, adults with type 2 DM and ASCVD in a large US administrative claims database were categorized by number of ASCVD-affected vascular beds (brain, heart, peripheral vasculature). Annual healthcare utilization and costs for 2015 were determined, including subgroup analyses by age group (18-44, 45-64, ≥65 years). RESULTS: Among 539 089 individuals with type 2 DM and ASCVD, 47.0% had ASCVD affecting >1 vascular bed. The most prevalent ASCVD diagnoses were acute coronary syndrome (26.6%), peripheral arterial disease (24.5%) and stroke (18.6%). Mean annual total healthcare costs per person increased with increasing number of vascular beds, from 1 ($17 741) to 2 ($25 877) to 3 ($33 412). A similar pattern of increased healthcare utilization with increasing number of vascular beds was observed. Among individuals with 1 affected vascular bed, mean total healthcare costs per person were comparable across age subgroups; however, if >1 vascular bed was affected, the mean total healthcare costs were highest in the youngest age cohort. CONCLUSIONS: These real-world data showed that almost half of individuals with type 2 DM and ASCVD had ASCVD affecting >1 vascular bed. A higher number of affected vascular beds were associated with higher mean total healthcare costs and utilization, with a disproportionate increase noted in younger relative to older people.

Impact of atherosclerotic cardiovascular disease on healthcare resource utilization and costs in patients with type 2 diabetes mellitus in a real-world setting.

BACKGROUND: This study evaluated the impact of atherosclerotic cardiovascular disease (ASCVD) on healthcare resource utilization and costs in patients with type 2 diabetes mellitus (T2DM). METHODS: This study was a retrospective, cross-sectional study using US claims data. Adult patients with T2DM were stratified by presence or absence of ASCVD and compared regarding annual (2015) healthcare resource utilization and associated costs. Subgroup analyses were conducted for three age groups (18-44, 45-64, and ≥ 65 years). RESULTS: Among 1,202,596 eligible patients with T2DM, 45.2% had documented ASCVD. The proportions of patients with inpatient and ER-based resource utilization during 2015 were three-to-four times greater in the ASCVD cohort as compared to the non-ASCVD cohort for the categories of inpatient visits (15.6% vs 4.4% of patients), outpatient ER visits (18.4% vs 5.2% of patients), and inpatient ER visits (4.3% vs 0.9% of patients). Outpatient utilization also was higher among patients with ASCVD as compared to those without ASCVD (mean number of annual office visits per patient, 9.1 vs 5.6), and more than twice as many patients with ASCVD had ≥ 9 office visits (43.5% vs 19.8%). Average per-patient total healthcare cost was $22,977 for ASCVD vs $9735 for non-ASCVD, with medical costs primarily driving the difference ($17,849 vs $6079); the difference in pharmacy costs was smaller ($5128 vs $3656). In the 18-44, 45-64, and ≥ 65 age subgroups respectively, total annual healthcare costs were 143, 127, and 114% higher in ASCVD vs non-ASCVD patients. CONCLUSIONS: These findings indicate significantly higher healthcare resource utilization and associated costs in patients having T2DM with ASCVD compared to T2DM without ASCVD.

Real-world Effectiveness of Liraglutide vs. Sitagliptin Among Older Patients with Type 2 Diabetes Enrolled in a Medicare Advantage Prescription Drug Plan: A Retrospective Observational Study.

INTRODUCTION: Liraglutide and sitagliptin were compared on glycemic control and all-cause healthcare costs over a 1-year period among older adults with type 2 diabetes (65-89 years) enrolled in a national Medicare Advantage Prescription Drug health plan. METHODS: This was a retrospective study in which the index date was the first prescription fill for liraglutide or sitagliptin between 25 January 2010 and 31 December 2014. Post-index treatment persistence and glycosylated hemoglobin (HbA1c) at baseline and 1 year (± 90 days) post-index date were required. Patients were excluded if their record included use of insulin during the baseline period. Inverse probability of treatment weighting using stabilized weights was employed with final covariate adjusted regression modeling to estimate the primary outcome (mean change in HbA1c) and secondary outcomes (achieving glycemic goal and costs), each at 1-year post-index date. RESULTS: Overall, 3056 patients met the selection criteria, of whom 218 filled prescriptions for liraglutide and 2838 for sitagliptin. Adjusted mean change in HbA1c at 1 year post-index was - 0.42 with liraglutide versus - 0.12 with sitagliptin (P = 0.0012). Adjusted odds of achieving the treatment goals of HbA1c < 7% and achieving an HbA1c reduction of ≥ 1% were higher for  those on liraglutide than for those on sitagliptin (1.68, 95% confidence interval [CI] 1.25-2.24 and 1.76, 95% CI 1.31-2.36), respectively. Total healthcare costs in those achieving an HbA1c of < 7% were not significantly different between treatment groups but were higher within the liraglutide group for those achieving an HbA1c < 8%. CONCLUSIONS: When compared to sitagliptin, liraglutide was associated with greater achievement of an HbA1c < 7% over a 1-year period in an older population. This finding was not associated with a statistically significant increase in all-cause total healthcare costs, although costs were slightly higher in the liraglutide group than in the sitagliptin group.

The Societal Value of Broader Access to Antiobesity Medications.

OBJECTIVE: Obesity and its complications place an enormous burden on society. Yet antiobesity medications (AOM) are prescribed to only 2% of the eligible population, even though few individuals can sustain weight loss using other strategies alone. This study estimated the societal value of greater access to AOM. METHODS: By using a well-established simulation model (The Health Economics Medical Innovation Simulation), the societal value of AOM for the cohort of Americans aged ≥ 25 years in 2019 was quantified. Four scenarios with differential uptake among the eligible population (15% and 30%) were modeled, with efficacy from current and next-generation AOM. Societal value was measured as monetized quality of life, productivity gains, and savings in medical spending, subtracting the costs of AOM. RESULTS: For the 217 million Americans aged ≥ 25 years, AOM generated $1.2 trillion in lifetime societal value under a conservative scenario (15% annual uptake using currently available AOM). The introduction of next-generation AOM increased societal value to $1.9 to $2.5 trillion, depending on uptake. Finally, societal value was higher for younger individuals and Black and Hispanic individuals compared with White individuals. CONCLUSIONS: This study suggests that AOM provide substantial gains to patients and society. Policies promoting broader clinical access to and use of AOM warrant consideration to reach national goals to reduce obesity.

Direct, Absenteeism, and Disability Cost Burden of Obesity Among Privately Insured Employees: A Comparison of Healthcare Industry Versus Other Major Industries in the United States.

OBJECTIVE: To compare obesity-related costs of employees of the healthcare industry versus other major US industries. METHODS: Employees with obesity versus without were identified using the Optum Health Reporting and Insights employer claims database (January, 2010 to March, 2017). Employees working in healthcare with obesity were compared with employees of other industries with obesity for absenteeism/disability and direct cost differences. Multivariate models estimated the association between industries and high costs compared with the healthcare industry. RESULTS: Obesity-related absenteeism/disability and direct costs were higher in several US industries compared with the healthcare industry (adjusted cost differences of $-1220 to $5630). Employees of the government/education/religious services industry (GERS) with obesity (BMI of 30 or greater) had significantly higher odds of direct costs at the 80th percentile and above (odds ratio vs healthcare industry = 2.20; P < 0.05). CONCLUSIONS: Relative to the healthcare industry, employees of other industries, especially GERS, incurred higher obesity-related costs.

Ten-year Medicare budget impact of increased coverage for anti-obesity intervention.

Aims: To estimate the long-term budget impact of expanding Medicare coverage of anti-obesity interventions among adults aged 65 and older in the US. Materials and methods: This study analyzed a representative sample of Medicare beneficiaries from the combined 2008-2016 National Health and Nutrition Examination Surveys. Population characteristics, cost and effectiveness of anti-obesity interventions, and the sustainability of weight loss in real-life were modeled to project the budgetary impact on gross Medicare outlay over 10 years. Hypothetical scenarios of 50% and 67% increases in intervention participation above base case were used to model moderate and extensive Medicare coverage expansion of intensive behavior therapy and pharmacotherapy. Results: For each Medicare beneficiary receiving anti-obesity treatment, we estimate Medicare savings of $6,842 and $7,155 over 10 years under moderate and extensive coverage utilization assumptions, respectively. The average cost of intervention is $1,798 and $1,886 per treated participant. Taking the entire Medicare population (treated and untreated) into consideration, the estimated 10-year budget savings per beneficiary are $308 and $339 under moderate and extensive assumptions, respectively. Sensitivity analysis of drug adherence rate and weight-loss efficacy indicated a potential variation of budget savings within 7% and 22% of the base case, respectively. Most of the projected cost savings come from lower utilization of ambulatory services and prescription drugs. Limitations: Due to the scarcity of studies on the efficacy of pharmacotherapy among older adults with obesity, the simulated weight loss and long-term maintenance effects were derived from clinical trial outcomes, in which older adults were mostly excluded from participation. The model did not include potential side-effects from anti-obesity medications and associated costs. Conclusions: This analysis suggests that expanding coverage of anti-obesity interventions to eligible individuals could generate $20-$23 billion budgetary savings to Medicare over 10 years.

Direct and Indirect Cost of Obesity Among the Privately Insured in the United States: A Focus on the Impact by Type of Industry.

OBJECTIVE: To evaluate obesity-related costs and body mass index (BMI) as a cost predictor among privately insured employees by industry. METHODS: Individuals with/without obesity were identified using the Optum Health Reporting and Insights employer claims database (January, 2010 to March, 2017). Direct/indirect costs were reported per-patient-per-year (PPPY). Multivariate models were used to estimate the association between obesity and high costs (more than or equal to 80th percentile) by industry. RESULTS: Overall (N = 86,221), direct and absenteeism/disability cost differences between class I obesity (BMI 30.0 to 34.9) and reference were $1,775 and $617 PPPY, respectively (P < 0.05). Among employees with obesity (BMI more than or equal to 30), highest total costs were observed in the government/education/religious services, food/entertainment services, and technology industries. Class I obesity increased the odds of high costs (more than or equal to 80th percentile) within each industry (odds ratios vs reference = 1.09-5.17). CONCLUSIONS: Obesity (BMI more than or equal to 30) was associated with high costs among employees of major US industries.

The prevalence of cardiovascular disease and antidiabetes treatment characteristics among a large type 2 diabetes population in the United States.

OBJECTIVES: The purpose of this study was to assess atherosclerotic cardiovascular disease (ASCVD) prevalence, antidiabetes medication usage and physician specialty encounters among individuals with type 2 diabetes mellitus (T2DM) in the United States during 2015. DESIGN: Retrospective, cross-sectional analysis. PATIENTS: Adults with T2DM in a large US administrative claims database. Patients were divided into ASCVD and non-ASCVD groups. Subgroup analyses were conducted for three age groups (18-44, 45-64 and 65+ years). RESULTS: Of 1 202 596 patients with T2DM, 45.2% had established ASCVD. About 40% of T2DM patients with ASCVD had visited a cardiologist during 2015, compared to 11% in the non-ASCVD group. The use of glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose co-transporter 2 inhibitors (SGLT-2is) was low overall (<12%), and even lower in the ASCVD group (<9%). The prevalence of ASCVD was 15%, 36% and 71% in the 18-44, 45-64 and 65+ year age groups, respectively. GLP-1RA and SGLT-2i use was ≤5% in the 65+ subgroup, regardless of ASCVD status. CONCLUSIONS: These real-world data showed a high prevalence of ASCVD among T2DM patients, and confirmed, as a baseline assessment, low use of GLP-1RAs and SGLT-2is in these at-risk patients prior to the 2017 American Diabetes Association guidelines recommending use of agents with proven cardiovascular benefits.

Persistence of newer anti-obesity medications in a real-world setting.

AIMS: Evaluate real-world data on persistence with anti-obesity medications (AOMs) and explore associated patient factors. METHODS: Truven Health MarketScan® data were analyzed to evaluate utilization of AOMs approved for long-term use between 4/2015 and 3/2016. Kaplan-Meier survival analyses were used to evaluate treatment persistence. A multivariate analysis was performed to identify associations between persistence and relevant factors. RESULTS: In total, 26,522 adult patients were identified as newly prescribed naltrexone/bupropion (44.0%, mean age 47.1, 80.5% female), lorcaserin (24.8%, 48.5, 79.3%), phentermine/topiramate extended release (15.8%, 46.7, 82.2%) or liraglutide 3.0 mg (15.4%, 46.9, 72.4%). At 6 months, 41.8% of patients were still on liraglutide 3.0 mg, compared to 15.9% lorcaserin (p < 0.001), 18.1% naltrexone/bupropion (p < 0.001), and 27.3% phentermine/topiramate (p < 0.001). After adjusting for baseline factors, patients on liraglutide 3.0 mg had significantly lower risk of discontinuation compared to those on lorcaserin (HR = 0.46, p < 0.0001), naltrexone/bupropion (HR = 0.48, p < 0.0001), and phentermine/topiramate (HR = 0.64, p < 0.0001) over the course of follow-up (mean follow-up duration, 342-427 days). Older age, male gender, having hyperlipidemia, and no prior phentermine use were associated with higher persistence. Over 95% of study patients had commercial insurance. CONCLUSIONS: In a real-world setting, patients on liraglutide 3.0 mg had the highest persistence rate of the four AOMs studied.

Real-World Clinical Effectiveness and Cost Savings of Liraglutide Versus Sitagliptin in Treating Type 2 Diabetes for 1 and 2 Years.

INTRODUCTION: This study compared the clinical and economic outcomes of long-term use of liraglutide versus sitagliptin for the treatment of type 2 diabetes (T2DM) in real-world practice in the USA. METHODS: We identified adult patients (≥ 18 years old) with T2DM who initiated liraglutide or sitagliptin in 2010-2014 using a large claims database. Quarterly glycemic control measures and annual healthcare costs were assessed during the 1st and 2nd years of persistent medication use. Their associations with medication use (liraglutide or sitagliptin) were estimated using multivariable regression models adjusted for patient demographic and clinical characteristics. RESULTS: A total of 3113 patients persistently used liraglutide (N = 493) or sitagliptin (N = 2620) for ≥ 1 year [mean age (standard deviation, SD): 53 (8.5) vs. 56 (9.7) years; 48.3% vs. 62.3% males; both p < 0.05]; 911 (including 113 liraglutide users) were persistent users for ≥ 2 years. During the 1st-year follow-up, liraglutide users (versus sitagliptin users, after adjustment) experienced larger glycated hemoglobin (HbA1c) reductions from baseline (ranging from 0.34%-point in quarter 1 to 0.21%-point in quarter 4); higher likelihoods of obtaining HbA1c reductions of ≥ 1%-points or ≥ 2%-points [odds ratios (ORs) range 1.47-2.04]; and higher likelihoods of reaching HbA1c goals of < 6.5% or < 7% (ORs range 1.51-2.12) (all p < 0.05). Liraglutide users also experienced HbA1c reductions from baseline in the 2nd-year follow-up (0.53-0.33%-point, all p < 0.05). Although liraglutide users incurred higher healthcare costs than sitagliptin users during the 1st-year follow-up, they had $2674 (per patient) lower all-cause medical costs (adjusted cost ratio: 0.67, p < 0.05) and similar total costs (all-cause and diabetes-related) in the 2nd year. CONCLUSION: Long-term use of liraglutide for 1 or 2 years was associated with better glycemic control than using sitagliptin. Savings in medical costs were realized for liraglutide users during the 2nd year of persistent treatment, which offset differences in pharmacy costs. FUNDING: Novo Nordisk Inc.

Antidiabetic treatment patterns and specialty care utilization among patients with type 2 diabetes and cardiovascular disease.

BACKGROUND: To evaluate real-world patient characteristics, medication use, and health care utilization patterns in patients with type 2 diabetes with established cardiovascular disease (CVD). METHODS: Cross-sectional analysis of patients with type 2 diabetes seen at Cleveland Clinic from 2005 to 2016, divided into two cohorts: with-CVD and without-CVD. Patient demographics and antidiabetic medications were recorded in December 2016; department encounters included all visits from 1/1/2016 to 12/31/2016. Comorbidity burden was assessed by the diabetes complications severity index (DCSI) score. RESULTS: Of 95,569 patients with type 2 diabetes, 40,910 (42.8%) were identified as having established CVD. Patients with CVD vs. those without were older (median age 69.1 vs. 58.2 years), predominantly male (53.8% vs. 42.6%), and more likely to have Medicare insurance (69.4% vs. 35.3%). The with-CVD cohort had a higher proportion of patients with a DCSI score ≥ 3 than the without-CVD cohort (65.0% vs. 10.3%). Utilization rates of glucagon-like peptide-1 receptor agonists and sodium-glucose co-transporter-2 inhibitors were low in both with-CVD (4.1 and 2.5%) and without-CVD cohorts (5.4 and 4.1%), respectively. The majority of patient visits (75%) were seen by a primary care provider. During the 1-year observation period, 81.9 and 62.0% of patients with type 2 diabetes and CVD were not seen by endocrinology or cardiology, respectively. CONCLUSIONS: These data indicated underutilization of specialists and antidiabetic medications reported to confer CV benefit in patients with type 2 diabetes and CVD. The impact of recently updated guidelines and cardiovascular outcome trial results on management patterns in such patients remains to be seen.

Construct Validity of Scores From the Connor-Davidson Resilience Scale in a Sample of Postsecondary Students With Disabilities.

Although theory posits a multidimensional structure of resilience, studies have supported a unidimensional solution for data obtained from the commonly used Connor-Davidson Resilience Scale (CD-RISC). This study investigated the latent structure of CD-RISC responses in a sample of postsecondary students with disabilities. Furthermore, the validity of CD-RISC scores was examined with respect to career optimism and well-being. The analyses were conducted using confirmatory factor analysis and exploratory structural equation modeling (ESEM). Results supported a bifactor-ESEM representation of the CD-RISC data that accounts for construct-relevant multidimensionality in scores due to the presence of general and specific factors and the fallibility of indicators as pure reflections of the constructs they measure. Although three specific factors showed meaningful residual specificity over and above the general factor, two specific factors were weakly defined with little meaningful residual specificity. However, these factors may retain some utility in the bifactor-ESEM model insofar as they control for limited levels of residual covariance in items. Evidence was also obtained for relations of the general and substantively interpretable specific factors with career optimism and well-being. The results of the study provide validation data for the CD-RISC and clarify recent research converging on seemingly disparate unidimensional and multidimensional solutions.

Impact of Obesity on Work Productivity in Different US Occupations: Analysis of the National Health and Wellness Survey 2014 to 2015.

OBJECTIVE: The aim of this study was to quantify the relationship between workers' body mass index and work productivity within various occupations. METHODS: Data from two administrations (2014 and 2015) of the United States (US) National Health and Wellness Survey, an Internet-based survey administered to an adult sample of the US population, were used for this study (n = 59,772). Occupation was based on the US Department of Labor's 2010 Standardized Occupation Codes. Outcomes included work productivity impairment and indirect costs of missed work time. RESULTS: Obesity had the greatest impact on work productivity in Construction, followed by Arts and Hospitality occupations. Outcomes varied across occupations; multivariable analyses found significant differences in work productivity impairment and indirect costs between normal weight and at least one obesity class. CONCLUSION: Obesity differentially impacted productivity and costs, depending upon occupation.

Maintenance of weight loss or stability in subjects with obesity: a retrospective longitudinal analysis of a real-world population.

OBJECTIVES: Characterize patterns of weight change among subjects with obesity. METHODS: A retrospective observational longitudinal study of subjects with obesity was conducted using the General Electric Centricity electronic medical record database. Subjects who were ≥18 years old with BMI ≥30 kg/m2 (first defining index BMI), had no medical conditions associated with unintentional weight loss, and had ≥4 BMI measurements/year for ≥2.5 years were included and categorized into groups (stable weight: within <5% of index BMI; modest weight loss: ≥5 to <10% of index BMI lost; moderate weight loss: ≥10 to <15% of index BMI lost; and high weight loss: ≥15% of index BMI lost) based on weight change during 6 months following index. No interventions were considered. Patterns of weight change were then assessed for 2 years. RESULTS: A total of 177,743 subjects were included: 85.1% of subjects were in the stable weight, 9.3% in the modest, 2.3% in the moderate, and 3.3% in the high weight loss groups. The proportion of subjects who maintained or continued to lose weight decreased over the 2 year observation period; 11% of those with high weight loss continued to lose weight and 19% maintained their weight loss. This group had the lowest percentage of subjects who regained ≥50% of lost weight and the lowest proportion of subjects with weight cycling (defined as not continuously losing, gaining, or maintaining weight throughout the 2 year observation period relative to its beginning). This trend persisted in subgroups with class II-III obesity, pre-diabetes, and type 2 diabetes. CONCLUSION: Weight cycling and regain were commonly observed. Subjects losing the most weight during the initial period were more likely to continue losing weight.