Dataset Information

High Triglycerides Are Associated With Increased Cardiovascular Events, Medical Costs, and Resource Use: A Real-World Administrative Claims Analysis of Statin-Treated Patients With High Residual Cardiovascular Risk.

ABSTRACT: Background The American Heart Association recognizes high triglycerides as a cardiovascular risk factor. Methods and Results This retrospective observational administrative claims analysis (Optum Research Database) included statin-treated patients ?45 years old with diabetes mellitus and/or atherosclerotic cardiovascular disease, triglycerides 2.26 to 5.64 mmol/L, and a propensity-matched comparator cohort with triglycerides <1.69 mmol/L and high-density lipoprotein cholesterol >1.04 mmol/L. In the high-triglycerides cohort versus comparators (both n=10 990, 49% women), mean age was 61.7 versus 62.2 years and follow-up was 41.3 versus 42.1 months, respectively. Multivariate analysis of composite major cardiovascular events demonstrated significantly increased risk in the high-triglycerides (n=13 411 patients) versus comparator (n=32 506 patients) cohorts (hazard ratio [ HR ], 1.35; 95% confidence interval [ CI ], 1.225-1.485; P<0.001), with significantly higher risk for nonfatal myocardial infarction ( HR , 1.35; 95% CI , 1.19-1.52; P<0.001), nonfatal stroke ( HR , 1.27; 95% CI , 1.14-1.42; P<0.001), and need for coronary revascularization ( HR , 1.51; 95% CI , 1.34-1.69; P<0.001), but not unstable angina or cardiovascular death. Increased cardiovascular risk in the high-triglycerides versus comparator cohort was maintained, even with addition of non-high-density lipoprotein cholesterol to the multivariate model and when analyzing high and low high-density lipoprotein cholesterol subgroups. Average total healthcare cost per patient per month (cost ratio, 1.15; 95% CI , 1.084-1.210; P<0.001) and rate of occurrence of inpatient hospital stay ( HR , 1.17; 95% CI , 1.113-1.223; P<0.001) were also significantly greater in the high-triglycerides cohort. Conclusions In this real-world analysis, patients with high cardiovascular risk and high triglycerides had worse composite cardiovascular and health economic outcomes than patients with well-managed triglycerides and high-density lipoprotein cholesterol >1.04 mmol/L.

SUBMITTER: Toth PP

PROVIDER: S-EPMC6201477 | biostudies-other | 2018 Aug

REPOSITORIES: biostudies-other

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High Triglycerides Are Associated With Increased Cardiovascular Events, Medical Costs, and Resource Use: A Real-World Administrative Claims Analysis of Statin-Treated Patients With High Residual Cardiovascular Risk.

Toth Peter P PP Granowitz Craig C Hull Michael M Liassou Djibril D Anderson Amy A Philip Sephy S

Journal of the American Heart Association 20180801 15

Background The American Heart Association recognizes high triglycerides as a cardiovascular risk factor. Methods and Results This retrospective observational administrative claims analysis (Optum Research Database) included statin-treated patients ≥45 years old with diabetes mellitus and/or atherosclerotic cardiovascular disease, triglycerides 2.26 to 5.64 mmol/L, and a propensity-matched comparator cohort with triglycerides <1.69 mmol/L and high-density lipoprotein cholesterol >1.04 mmol/L. In ...[more]

PMID: 30371242

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Project description:BACKGROUND:To effectively use administrative claims for healthcare research, clinical events must be inferred from coding data according to validated algorithms. In October 2015, the United States transitioned from the International Classification of Diseases Ninth Revision (ICD-9) to the Tenth Revision (ICD-10). We describe our method to derive new ICD-10 codes for outcomes after vascular procedures from our prior, validated ICD-9 codes. METHODS:We began with validated ICD-9 coding lists known to represent outcomes after lower extremity revascularization, thoracic aortic endograft placement, abdominal aortic aneurysm reintervention, and carotid revascularization. We used the publicly available general equivalence mapping tools to derive corresponding ICD-10 codes for each of the ICD-9 codes in our current lists. The resulting lists were then manually reviewed by multiple authors to ensure clinical relevance for appropriate event detection. Clinically nonrelevant and duplicated codes were removed. RESULTS:A total of 475 ICD-9 codes were translated to ICD-10 with a 98-fold increase (n = 46,630) in the total number of codes. Overall, we found that 77% of codes (n = 35,833) were either duplicated or not clinically relevant upon manual review. For example, for thoracic aortic endograft placement, 97 ICD-9 codes mapped to 14,661 ICD-10 codes in total. A total of 890 codes were removed as duplicates and 9035 codes were removed during manual clinical review. The resultant, reviewed list contained 4736 ICD-10 codes representing a 49-fold increase from the initial ICD-9 list. Findings were similar across the other procedures studied. CONCLUSIONS:ICD-10 has expanded the number of codes necessary to describe outcomes after vascular procedures. More than 75% of the codes obtained using the general equivalence mapping database were either duplicated or not clinically relevant. Manual review of codes by researchers with clinical knowledge of the procedures is imperative.

Project description:IntroductionErenumab is indicated for migraine preventive treatment in adults. The objective of this study was to provide descriptive information on real-world use of erenumab including patient profile and treatment patterns.MethodsWe completed a retrospective review of US data (through May 2019) from the IBM MarketScan® Early View Databases, identifying adult patients newly treated with erenumab with a migraine claim in the year prior to first erenumab claim (index) and at least 1 year of continuous pre-index medical and pharmacy insurance coverage, to assess pre- and post-erenumab migraine characteristics, comorbidities, healthcare resource utilization, and associated costs. All data were summarized using descriptive statistics.ResultsA total of 9753 patients met inclusion criteria. The average (SD) age was 46 (12) years, 85% of patients were female, and 64% had at least one claim for chronic migraine; 70% of erenumab users had an initial dose of 70 mg; 77% of patients in the 6-month follow-up sample (n = 4437) remained on their initial erenumab dose. Persistence at 6-month follow-up was 47.3% with a mean (95% CI) proportion of days covered of 0.68 (0.67, 0.68). In the post-erenumab period, claims for comorbidities of non-migraine headaches and anxiety were reduced and there was a shift to decreased use of acute and preventive medications. Reductions in overall use and associated cost of healthcare resources such as inpatient hospitalization and outpatient office visits were minimal, with slightly more pronounced reductions in the subgroup of patients that were persistent to erenumab.ConclusionsWe observed reductions in claims for important migraine characteristics, comorbidities, and a shift to decreased use of acute and preventive migraine medications-observations indicative of the real-world effectiveness of erenumab. Further examination is required as persistence to erenumab, which may be influenced by dose titration, appears to be an important factor in changes to healthcare resource utilization and costs.

Project description:BackgroundEven when low-density lipoprotein-cholesterol (LDL-C) levels are lower than guideline thresholds, a residual risk of atherosclerosis remains. It is unknown whether triglyceride (TG) levels are associated with subclinical atherosclerosis and vascular inflammation regardless of LDL-C.ObjectivesThis study sought to assess the association between serum TG levels and early atherosclerosis and vascular inflammation in apparently healthy individuals.MethodsAn observational, longitudinal, and prospective cohort study, including 3,754 middle-aged individuals with low to moderate cardiovascular risk from the PESA (Progression of Early Subclinical Atherosclerosis) study who were consecutively recruited between June 2010 and February 2014, was conducted. Peripheral atherosclerotic plaques were assessed by 2-dimensional vascular ultrasound, and coronary artery calcification (CAC) was assessed by noncontrast computed tomography, whereas vascular inflammation was assessed by fluorine-18 fluorodeoxyglucose uptake on positron emission tomography.ResultsAtherosclerotic plaques and CAC were observed in 58.0% and 16.8% of participants, respectively, whereas vascular inflammation was evident in 46.7% of evaluated participants. After multivariate adjustment, TG levels ≥150 mg/dl showed an association with subclinical noncoronary atherosclerosis (odds ratio [OR]: 1.35; 95% confidence interval [CI]: 1.08 to 1.68; p = 0.008). This association was significant for groups with high LDL-C (OR: 1.42; 95% CI: 1.11 to 1.80; p = 0.005) and normal LDL-C (OR: 1.85; 95% CI: 1.08 to 3.18; p = 0.008). No association was found between TG level and CAC score. TG levels ≥150 mg/dl were significantly associated with the presence of arterial inflammation (OR: 2.09; 95% CI: 1.29 to 3.40; p = 0.003).ConclusionsIn individuals with low to moderate cardiovascular risk, hypertriglyceridemia was associated with subclinical atherosclerosis and vascular inflammation, even in participants with normal LDL-C levels. (Progression of Early Subclinical Atherosclerosis [PESA]; NCT01410318).

Project description:BACKGROUND:Cardiovascular disease (CVD) imparts a heavy economic burden on the U.S. health care system. Evidence regarding the long-term costs after comprehensive CVD screening is limited. OBJECTIVES:This study calculated 10-year health care costs for 6,814 asymptomatic participants enrolled in MESA (Multi-Ethnic Study of Atherosclerosis), a registry sponsored by the National Heart, Lung, and Blood Institute, National Institutes of Health. METHODS:Cumulative 10-year costs for CVD medications, office visits, diagnostic procedures, coronary revascularization, and hospitalizations were calculated from detailed follow-up data. Costs were derived by using Medicare nationwide and zip code-specific costs, inflation corrected, discounted at 3% per year, and presented in 2014 U.S. dollars. RESULTS:Risk factor prevalence increased dramatically and, by 10 years, diabetes, hypertension, and dyslipidemia was reported in 19%, 57%, and 53%, respectively. Self-reported symptoms (i.e., chest pain or shortness of breath) were common (approximately 40% of enrollees). At 10 years, approximately one-third of enrollees reported having an echocardiogram or exercise test, whereas 7% underwent invasive coronary angiography. These utilization patterns resulted in 10-year health care costs of $23,142. The largest proportion of costs was associated with CVD medication use (78%). Approximately $2 of every $10 were spent for outpatient visits and diagnostic testing among the elderly, obese, those with a high-sensitivity C-reactive protein level >3 mg/l, or coronary artery calcium score (CACS) ?400. Costs varied widely from <$7,700 for low-risk (Framingham risk score <6%, 0 CACS, and normal glucose measurements at baseline) to >$35,800 for high-risk (persons with diabetes, Framingham risk score ?20%, or CACS ?400) subgroups. Among high-risk enrollees, CVD costs accounted for $74 million of the $155 million consumed by MESA participants. CONCLUSIONS:Longitudinal patterns of health care resource use after screening revealed new evidence on the economic burden of treatment and testing patterns not previously reported. Maintenance of a healthy population has the potential to markedly reduce the economic burden of CVD among asymptomatic individuals.

Project description:INTRODUCTION:In addition to the considerable patient and societal burdens, the financial burdens of ankylosing spondylitis (AS) are substantial. Understanding both all-cause and AS-specific direct costs in patients with AS is important if we are to understand the financial impact on patients with AS and payers in the United States. This study assessed both all-cause and AS-specific healthcare utilization and direct costs in US patients with AS using administrative claims data. METHODS:Adults aged ≥ 18 years enrolled in the MarketScan® Commercial and Medicare databases with ≥ 1 inpatient or ≥ 2 non-rule-out outpatient diagnoses of AS between January 1, 2013, and December 31, 2013, were included. Patients had continuous enrollment with medical and pharmacy benefits for ≥ 12 months before and after the index date (first diagnosis). Non-AS controls were matched up to 5:1 to patients with AS on age, geographic region, index calendar year, and sex. All-cause and AS-specific healthcare utilization and direct costs were measured during the follow-up period and reported as per patient per year. RESULTS:Patients with AS (N = 6679) had significantly higher rates of total all-cause inpatient admission (12% vs 6%), emergency department visits (23% vs 15%), nonhospital-based outpatient visits (100% vs 84%), hospital-based outpatient visits (68% vs 46%), other outpatient services (97% vs 81%), and medication use (97% vs 82%) compared with matched controls (N = 19,951). Patients with AS had approximately tenfold higher median total healthcare costs than matched controls ($24,978 vs $2139 per patient per year), largely driven by increased outpatient and pharmacy costs; P < 0.05 for all comparisons. The median (IQR) total AS-specific healthcare costs were $10,250 ($774, $28,824). CONCLUSION:In this analysis of claims data, increased outpatient and pharmacy costs were key contributors to higher all-cause total healthcare costs in US patients with AS. FUNDING:Novartis Pharmaceuticals Corporation, East Hanover, NJ.

Project description:IntroductionAdministrative claims data provide an important source for real-world evidence (RWE) generation, but incomplete reporting, such as for body mass index (BMI), limits the sample sizes that can be analyzed to address certain research questions. The objective of this study was to construct models by implementing machine-learning (ML) algorithms to predict BMI classifications (≥ 30, ≥ 35, and ≥ 40 kg/m2) in administrative healthcare claims databases, and then internally and externally validate them.MethodsFive advanced ML algorithms were implemented for each BMI classification on a random sampling of BMI readings from the Optum PanTher Electronic Health Record database (2%) and the Optum Clinformatics Date of Death (20%) database, while incorporating baseline demographic and clinical characteristics. Sensitivity analyses with oversampling ratios were conducted. Model performance was validated internally and externally.ResultsModels trained on the Super Learner ML algorithm (SLA) yielded the best BMI classification predictive performance. SLA model 1 utilized sociodemographic and clinical characteristics, including baseline BMI values; the area under the receiver operating characteristic curve (ROC AUC) was approximately 88% for the prediction of BMI classifications of ≥ 30, ≥ 35, and ≥ 40 kg/m2 (internal validation), while accuracy ranged from 87.9% to 92.8% and specificity ranged from 91.8% to 94.7%. SLA model 2 utilized sociodemographic information and clinical characteristics, excluding baseline BMI values; ROC AUC was approximately 73% for the prediction of BMI classifications of ≥ 30, ≥ 35, and ≥ 40 kg/m2 (internal validation), while accuracy ranged from 73.6% to 80.0% and specificity ranged from 71.6% to 85.9%. The external validation on the MarketScan Commercial Claims and Encounters database yielded relatively consistent results with slightly diminished performance.ConclusionThis study demonstrated the feasibility and validity of using ML algorithms to predict BMI classifications in administrative healthcare claims data to expand the utility for RWE generation.

Dataset Information

High Triglycerides Are Associated With Increased Cardiovascular Events, Medical Costs, and Resource Use: A Real-World Administrative Claims Analysis of Statin-Treated Patients With High Residual Cardiovascular Risk.

Publications

High Triglycerides Are Associated With Increased Cardiovascular Events, Medical Costs, and Resource Use: A Real-World Administrative Claims Analysis of Statin-Treated Patients With High Residual Cardiovascular Risk.

Similar Datasets

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