K.D. Null

Risk of adverse cardiovascular outcomes and all-cause mortality associated with concomitant use of clopidogrel and proton pump inhibitors in elderly patients

Abstract Objective: To examine the effect of concomitant use of clopidogrel and PPIs in a national sample of elderly Medicare beneficiaries (age ≥65 years). Methods: A nested case–control design was employed. A cohort of Medicare beneficiaries who initiated clopidogrel and did not have any gap of ≥30 days between clopidogrel fills between July 1, 2006 and December 31, 2008 was identified from a 5% national sample of Medicare claims data. Within this cohort, cases (beneficiaries who experienced any major cardiovascular event [MCE] [acute myocardial infarction, stroke, coronary artery bypass graft, or percutaneous coronary intervention] or all-cause mortality) and controls (beneficiaries who did not experience any MCE or all-cause mortality) were identified from inpatient and outpatient claims. Cases and controls were matched on age and the time to first clopidogrel fill. Conditional logistic regression was performed on the matched sample to evaluate the association between concomitant use of clopidogrel and PPIs and adverse health outcomes (MCEs and all-cause mortality). Results: A total of 43,159 clopidogrel users were identified. Among them, 15,415 (35.7%) received clopidogrel and a PPI concomitantly at any time during the study period, 3502 (8.1%) experienced a MCE, 7306 (17.1%) died, and a total of 9908 (22.8%) experienced the primary composite outcome (any MCE or all-cause mortality) during follow-up. The odds ratio (OR) for the primary composite outcome was 1.26 (95% confidence interval [CI]: 1.18–1.35). Secondary analyses indicated that elderly patients using clopidogrel and a PPI concomitantly were more likely to experience all-cause mortality (OR: 1.40; 95% CI: 1.29–1.53) as compared to those receiving clopidogrel only, but not MCEs (OR: 1.06; 95% CI: 0.95–1.18). Conclusions: Concomitant use of clopidogrel and PPIs was associated with a slightly increased risk of all-cause mortality but not MCEs.

Predictors of reaching a serum uric acid goal in patients with gout and treated with febuxostat

Purpose Clinical guidelines recommend febuxostat as first-line pharmacologic urate-lowering therapy for patients with gout to achieve a goal serum uric acid (sUA) <6 mg/dL; however, little is known about other contributing factors. This study identified clinical characteristics of patients treated with febuxostat to develop and validate a predictive model for achieving a goal sUA. Patients and methods Patients with Humana Medicare or commercial insurance, diagnosed with gout and newly initiated on febuxostat (index date February 1, 2009 – December 31, 2013), were identified for a retrospective cohort study. Patients were followed for 365 days and the first valid sUA test result ≥120 days after index was retained. A stepwise logistic regression with backward elimination was estimated to model sUA goal attainment, and a linear model was estimated to model the impact of predictor variables on sUA level. Results The study sample (n=678) was divided into a development (training) dataset (n=453) and a validation (holdout) dataset (n=225). In the training sample, patients in the sUA <6 mg/dL group were on febuxostat for a longer time, were more adherent, and had a lower average base-line sUA level (all p<0.0001) vs patients in the sUA ≥6 mg/dL group. In the logistic model, febuxostat adherence (odds ratio [OR]=1.03, p<0.0001) and baseline sUA level (OR=0.84, p<0.0001) increased the odds of attaining sUA <6 mg/dL. In the linear regression model, increase in febuxostat adherence (p<0.0001), baseline sUA level (p<0.0001), advanced age (p=0.0021), and not having congestive heart failure (p<0.05) were associated with a reduction of sUA level. Pre-index allopurinol use was a marginally significant predictor of sUA level reduction (p=0.06). Conclusions Among febuxostat users diagnosed with gout in a real-world setting, adherence to febuxostat and lower baseline sUA level were the strongest predictors of attaining sUA goal. These findings may help clinicians to identify appropriate patients most likely to benefit from febuxostat treatment, and underscore the importance of medication adherence in this challenging patient population.

Ulcerative Colitis Treatment Patterns and Cost of Care

OBJECTIVES To examine treatment patterns, dosing, health care resource utilization, and cost of tumor necrosis factor inhibitors (TNFi), adalimumab (ADA) and infliximab (IFX), among patients enrolled in US Humana insurance plans who have been diagnosed with ulcerative colitis (UC). METHODS This retrospective cohort study identified the first pharmacy or medical claim for ADA or IFX (from January 1, 2007, to December 31, 2014) in patients with continuous enrollment for 6 months or more preindex and 12 months or more postindex, with one or more UC diagnosis claim 6 months pre- or postindex. TNFi discontinuation was defined as a therapy gap of 56 days or more for ADA and 112 days or more for IFX. TNFi switch was defined as nonindex TNFi initiation. Health care resource utilization and costs were characterized quarterly according to treatment patterns. RESULTS The study population comprised 295 patients: mean age 50.9 years, 50.5% females, and 61.7% in southern United States. At the index date, 17% of patients received ADA and 83% received IFX. Treatment discontinuation was observed in 52% of ADA and 45% of IFX users through 12 months postindex (mean time 19 and 22 weeks, respectively). Among discontinuers, 46% of ADA and 68% of IFX users did not restart/switch TNFi. ADA and IFX showed mean times to switch of 18 and 30 weeks, respectively. TNFi discontinuers had the lowest mean quarterly total health care cost (

PRS39 Palavizumab (Synagis) Use and Outcomes Among Medicaid Beneficiaries

3,935) versus patients who initiated/switched TNFi (

PIH34 IMPLEMENTATION OF A STATE MEDICAID PRESCRIPTION CAP POLICY: IS THERE AN IMPACT ON BENEFICIARIES' MEDICAL SERVICES UTILIZATION AND COSTS?

15,004). Nevertheless, discontinuers had higher UC-related hospitalization versus patients receiving therapy. CONCLUSIONS Approximately half of ADA and IFX users discontinued, with approximately half of discontinuers not restarting/switching therapies. Further investigation of treatment patterns and outcomes after TNFi discontinuation is required.