Tanya Burton

Prediction of First Events of Coronary Heart Disease and Stroke With Consideration of Adiposity

Background— Prediction of coronary heart disease (CHD) and cerebrovascular disease (CeVD) can aid healthcare providers and prevention programs. Previous reports have focused on traditional cardiovascular risk factors; less information has been available on the role of overweight and obesity. Methods and Results— Baseline data from 4780 Framingham Offspring Study adults with up to 24 years of follow-up were used to assess risk for a first CHD event (angina pectoris, myocardial infarction, or cardiac death) alone, first CeVD event (acute brain infarction, transient ischemic attack, and stroke-related death) alone, and CHD and CeVD events combined. Accelerated failure time models were developed for the time of first event to age, sex, cholesterol, high-density lipoprotein cholesterol, diabetes mellitus (DM), systolic blood pressure, smoking status, and body mass index (BMI). Likelihood-ratio tests of statistical significance were used to identify the best-fitting predictive functions. Age, sex, smoking status, systolic blood pressure, ratio of cholesterol to high-density lipoprotein cholesterol, and presence of DM were highly related (P<0.01 for all) to the development of first CHD events, and all of the above except sex and DM were highly related to the first CeVD event. BMI also significantly predicted the occurrence of CHD (P=0.05) and CeVD (P=0.03) in multivariable models adjusting for traditional risk factors. The magnitude of the BMI effect was reduced but remained statistically significant when traditional variables were included in the prediction models. Conclusions— Greater BMI, higher systolic blood pressure, higher ratio of cholesterol to high-density lipoprotein cholesterol, and presence of DM were all predictive of first CHD events, and all but the presence of DM were predictive of first CeVD events. These results suggest that common pathophysiological mechanisms underlie the roles of BMI, DM, and systolic blood pressure as predictors for first CHD and CeVD events.

Medicare payments, healthcare service use, and telemedicine implementation costs in a randomized trial comparing telemedicine case management with usual care in medically underserved participants with diabetes mellitus (IDEATel).

Objective To determine whether a diabetes case management telemedicine intervention reduced healthcare expenditures, as measured by Medicare claims, and to assess the costs of developing and implementing the telemedicine intervention. Design We studied 1665 participants in the Informatics for Diabetes Education and Telemedicine (IDEATel), a randomized controlled trial comparing telemedicine case management of diabetes to usual care. Participants were aged 55 years or older, and resided in federally designated medically underserved areas of New York State. Measurements We analyzed Medicare claims payments for each participant for up to 60 study months from date of randomization, until their death, or until December 31, 2006 (whichever happened first). We also analyzed study expenditures for the telemedicine intervention over six budget years (February 28, 2000- February 27, 2006). Results Mean annual Medicare payments (SE) were similar in the usual care and telemedicine groups,

Predicting waist circumference from body mass index

9040 (

Effect of 2013 ACC/AHA Blood Cholesterol Guidelines on Statin Treatment Patterns and Low‐Density Lipoprotein Cholesterol in Atherosclerotic Cardiovascular Disease Patients

386) and

Pre-transfusion hemoglobin (PT-Hb) levels in erythropoiesis-stimulating agent (ESA)-treated patients with chemotherapy-induced anemia (CIA): Results from randomized controlled trial (RCT) and observational data.

9669 (

Clinical and patient-reported outcomes based on achieved hemoglobin levels in chemotherapy-treated cancer patients receiving erythropoiesis-stimulating agents

443) per participant, respectively (p>0.05). Sensitivity analyses, including stratification by censored status, adjustment by enrollment site, and semi-parametric weighting by probability of dropping-out, rendered similar results. Over six budget years 28 821 participant/months of telemedicine intervention were delivered, at an estimated cost of

Transfusion outcomes in erythropoiesis-stimulating agent (ESA)-treated cancer chemotherapy patients based on achieved hemoglobin (Hb) levels

622 per participant/month. Conclusion Telemedicine case management was not associated with a reduction in Medicare claims in this medically underserved population. The cost of implementing the telemedicine intervention was high, largely representing special purpose hardware and software costs required at the time. Lower implementation costs will need to be achieved using lower cost technology in order for telemedicine case management to be more widely used.

Simple Demographic Model to Predict Multiple Cardiometabolic Risk Factors in Two Well-Known Observational Cohorts

BackgroundBeing overweight or obese increases risk for cardiometabolic disorders. Although both body mass index (BMI) and waist circumference (WC) measure the level of overweight and obesity, WC may be more important because of its closer relationship to total body fat. Because WC is typically not assessed in clinical practice, this study sought to develop and verify a model to predict WC from BMI and demographic data, and to use the predicted WC to assess cardiometabolic risk.MethodsData were obtained from the Third National Health and Nutrition Examination Survey (NHANES) and the Atherosclerosis Risk in Communities Study (ARIC). We developed linear regression models for men and women using NHANES data, fitting waist circumference as a function of BMI. For validation, those regressions were applied to ARIC data, assigning a predicted WC to each individual. We used the predicted WC to assess abdominal obesity and cardiometabolic risk.ResultsThe model correctly classified 88.4% of NHANES subjects with respect to abdominal obesity. Median differences between actual and predicted WC were − 0.07 cm for men and 0.11 cm for women. In ARIC, the model closely estimated the observed WC (median difference: − 0.34 cm for men, +3.94 cm for women), correctly classifying 86.1% of ARIC subjects with respect to abdominal obesity and 91.5% to 99.5% as to cardiometabolic risk.The model is generalizable to Caucasian and African-American adult populations because it was constructed from data on a large, population-based sample of men and women in the United States, and then validated in a population with a larger representation of African-Americans.ConclusionsThe model accurately estimates WC and identifies cardiometabolic risk. It should be useful for health care practitioners and public health officials who wish to identify individuals and populations at risk for cardiometabolic disease when WC data are unavailable.

Blood and Resource Utilization in Cancer Patients with Chemotherapy-Induced Anemia (CIA) in the Pre- and Post-National Coverage Determination (NCD) Timeframes: Results From An Electronic Medical Record Study.

Background Preceding release of the 2013 American College of Cardiology (ACC)/American Heart Association (AHA) cholesterol guidelines, prescribers aimed for specific low‐density lipoprotein cholesterol (LDL‐C) goals in patients with atherosclerotic cardiovascular disease (ASCVD). The 2013 guidelines changed this focus to treating patients with appropriate statin intensity given their ASCVD risk. We examined statin use and LDL‐C levels before and after the 2013 ACC/AHA guidelines in patients with clinical ASCVD as defined in the guidelines. Methods and Results We conducted a retrospective cohort study of adult commercial and Medicare Advantage health plan enrollees in the Optum Research Database. Patients had ≥1 claim with a diagnosis of clinical ASCVD between November 1, 2012 and December 31, 2014 and were continuously enrolled 6 months before (baseline) and 7 months after (follow‐up) the first ASCVD visit. Patients were assigned to monthly cohorts based on ASCVD event month. Statin use and intensity were measured at baseline and first month of follow‐up. LDL‐C changes were assessed using ordinary least squares regression. For 90 287 patients, mean (SD) age was 68 (12) years; 50% were female; and 30% had commercial insurance. Statin use remained consistent before and after guidelines (32% and 31%, respectively). Of patients receiving statins, high‐intensity use increased by 4 percentage points 1 year after guidelines (P<0.001). Mean LDL‐C levels were 2.4 mmol/L (94 mg/dL) both pre‐ and postguidelines. Conclusions Statin use and mean monthly LDL‐C before and after the guidelines remained largely unchanged; statin intensity increased modestly. More effort may be needed to increase guideline understanding and adherence to improve treatment of high‐risk patients.

Hematologic and Hospitalization Outcomes in Patients with Chemotherapy-Induced Anemia (CIA) Treated with Erythropoiesis-Stimulating Agents (ESAs) in the Pre- Vs Post-National Coverage Determination (NCD) Time Periods.

e16559 Background: Cancer patients often experience CIA and may be treated with ESAs. Recent observational data on PT-Hb levels in ESA-treated patients with CIA have not been reported. This analysi...