Validation of a claims-based algorithm to identify patients with chronic thromboembolic pulmonary hypertension using electronic health record data.

This study aimed to validate an algorithm developed to identify chronic thromboembolic pulmonary hypertension (CTEPH) among patients with a history of pulmonary embolism. Validation was halted because too few patients had gold-standard evidence of CTEPH in the administrative claims/electronic health records database, suggesting that CTEPH is underdiagnosed.

Burden of Illness Associated with Tenosynovial Giant Cell Tumors.

PURPOSE: Little is known about the burden of illness in patients with tenosynovial giant cell tumors (TGCT), which are rare, typically benign, lesions of the synovial tissue including giant cell tumor of the tendon sheath (GCT-TS) and pigmented villonodular synovitis (PVNS). The objective of this study was to describe health care resource use and costs for patients with GCT-TS and PVNS, which are rare and typically benign TGCT. METHODS: A retrospective cohort study design was used to analyze administrative claims for adult commercial and Medicare Advantage health plan enrollees with evidence of GCT-TS and PVNS from January 1, 2006 through March 31, 2015. Participants were continuously enrolled for 12 months before (pre-index period) and 12 months after (post-index period) the date of the first tenosynovial giant cell tumor (TGCT) claim (index date). Preindex and postindex measures were compared using the McNemar test and Wilcoxon signed-rank test. Results were stratified by TGCT type. FINDINGS: The study identified 4664 patients with TGCT, 284 with GCT-TS, and 4380 with PVNS. Mean age (GCT-TS group: 50 years; PVNS group: 51 years) and sex distributions (GCT-TS group: 60.2% female; PVNS group: 59.5% female) were similar for each group. Most patients with GCT-TS (78.2%) had at least one postindex surgery, compared with 38.7% of patients with PVNS. Mean total health care costs increased from $8943 in the preindex period to $14,880 in the postindex period (P < 0.001) for GCT-TS and from $13,221 in the preindex period to $17,728 in the postindex period (P < 0.001) for PVNS. Preindex to postindex ambulatory costs increased nearly 120% for patients with GCT-TS ($4340 to $9570, P < 0.001) and 50% for patients with PVNS ($6782 to $10,278, P < 0.001), and physical therapy use increased significantly during the same period (GCT-TS: 18% to 40%, P < 0.001; PVNS: 38% to 60%, P < 0.001). IMPLICATIONS: Costs increased substantially 1 year after the first TGCT claim, with more than half the costs covering ambulatory care. These results suggest a high health care burden once TGCT is identified.

Persistence and compliance among U.S. patients receiving pazopanib or sunitinib as first-line therapy for advanced renal cell carcinoma: a retrospective claims analysis.

BACKGROUND: For first-line therapy options for advanced renal cell carcinoma (RCC), clinical trials have demonstrated similar efficacy for pazopanib and sunitinib as well as differing side-effect profiles, which may affect patient persistence in self-administration of these oral medications. However, the treatment patterns of each drug in real-world clinical practice, as opposed to the controlled environment of a trial, have not been directly compared. OBJECTIVE: To compare persistence and compliance (adherence) with pazopanib versus sunitinib in a real-world setting. METHODS: This was a retrospective claims analysis using 2 databases: Optum Research Database and Impact National Benchmark Database. Eligible patients included adult patients (aged ≥ 18 years) with ≥ 2 RCC diagnoses and evidence of first-line therapy with ≥ 1 subsequent pharmacy claim for pazopanib or sunitinib between October 2009 and July 2012. The date of the first pazopanib or sunitinib claim was defined as the index date. Additional requirements included continuous enrollment in the health plan for 2 months prior (baseline period) through 6 months after (follow-up period) the index date and no cancers other than those associated with RCC. Propensity score matching was used to minimize selection bias. Persistence with the index drug was compared using days to discontinuation, estimated level of persistence (ELPT) at 180 days, and proportion of days covered (PDC). PDC was defined by dividing the number of days covered with the index drug by the number of follow-up days. Compliance was estimated using medication possession ratio (MPR). For matched cohort pairs with > 1 fill, MPR was defined by dividing the number of days covered with the index drug by the number of days between the first and last index medication fill. RESULTS: We identified 84 matched pairs among 97 patients prescribed pazopanib and 349 prescribed sunitinib. Among the matched population, mean comorbidity index score was 5.8 (95% CI = 1.8-6.0) for pazopanib, and 6.1 (95% CI =1.8-6.0) for sunitinib (P = 0.133). Evidence of any radiation therapy during the baseline period was significantly higher among the sunitinib cohort prior to matching (9% vs. 18%, P = 0.043), and evidence of surgery was higher in the pazopanib cohort after matching (12% vs. 7%, P = 0.046). Cohorts were balanced according to demographic and clinical characteristics with mean (SD) age of 63.0 (9.0) years and 77.4% male. During the 6-month period after drug initiation, there was no significant difference (P > 0.05) by drug cohort in the duration of index drug therapy or the percentage of patients who discontinued their index drugs. The mean (SD) time to discontinuation was 133.4 (62.8) days and 139.9 (55.6) days among the matched pazopanib and sunitinib cohorts, respectively (P = 0.445). In both cohorts, more than 40% of patients discontinued their index drugs (46.4% pazopanib and 44.1% sunitinib, P = 0.732). In addition, there was no significant difference by drug cohort in the ELPT at any time examined between 30 and 180 days after initiation of therapy. PDC with the index drug during the fixed 6-month follow-up was also examined. Although the mean PDC was significantly higher among the sunitinib cohort (0.77 vs. 0.68 for pazopanib, P = 0.037), there was no difference by cohort in the percentage of patients with high PDC (defined as ≥ 80%): 52.4% versus 56.0% for pazopanib and sunitinib, respectively (P = 0.622). Mean MPR among matched pairs with at least 2 fills for the index drug was significantly higher among the sunitinib cohort, although there was no difference by cohort in the percentage of patients with high MPR (defined as ≥ 80%): 81.4% versus 93.2% for pazopanib and sunitinib, respectively (P > 0.071). CONCLUSIONS: In the first 6 months of treatment, persistence and compliance to pazopanib and sunitinib were similar. Future studies are needed, including those assessing larger cohorts and longer follow-up periods.

Predicting waist circumference from body mass index.

BACKGROUND: Being 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. METHODS: Data 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. RESULTS: The 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. CONCLUSIONS: The 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.

One-year follow-up healthcare costs of patients hospitalized for transient ischemic attack or ischemic stroke and discharged with aspirin plus extended-release dipyridamole or clopidogrel.

OBJECTIVE: To examine healthcare costs among patients hospitalized for transient ischemic attack or ischemic stroke (TIA/stroke) and prescribed aspirin plus extended-release dipyridamole (ASA-ERDP) or clopidogrel (CLOPID) within 30 days post-discharge using a retrospective claims database from a large US managed care organization. METHODS: Adult patients with ≥1 hospitalizations for TIA/stroke between January 2007-July 2009 and ≥1 claims for an oral anti-platelet (OAP) were observed for 1 year before and after the first TIA/stroke hospitalization or until death, whichever came first. Cohorts were defined by the first claim for ASA-ERDP or CLOPID within 30 days post-discharge. A generalized linear model, adjusting for demographics, baseline comorbidities and costs, compared total follow-up costs (medical + pharmacy) between ASA-ERDP and CLOPID patients. RESULTS: Of 6377 patients (2085 ASA-ERDP; 4292 CLOPID) who met the selection criteria, mean (SD) age was 69 (13) years and 50% were male. Unadjusted mean total follow-up costs were lower for ASA-ERDP than CLOPID ($26,201 vs $30,349; p=0.002), of which average unadjusted medical and pharmacy costs were $22,094 vs $26,062 (p=0.003) and $4107 vs $4288 (p=0.119), respectively. Multivariate modeling indicated that the following were associated with higher total costs (all p<0.05): higher baseline Quan-Charlson comorbidity score, history of atrial fibrillation and myocardial infarction, index stroke hospitalization, death post-discharge, and index CLOPID use. Adjusted mean total follow-up costs for CLOPID were 9% higher than ASA-ERDP (cost ratio: 1.09; p=0.038). CONCLUSION: In this study, compared to CLOPID patients, ASA-ERDP patients were observed to have lower total costs 1 year post-discharge TIA/stroke hospitalization, driven primarily by lower medical costs. Further research into the real-world impact of OAP therapies on clinical and economic outcomes of patients with stroke/TIA is warranted. The findings of this study should be considered within the limitations of an administrative claims analysis, as claims data are collected for the purpose of payment.

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, $9040 ($386) and $9669 ($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 $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.

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.