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Aims: We aimed to assess treatment persistence of tumor necrosis factor (TNF) inhibitors and non-TNF inhibitors in two groups of rheumatoid arthritis (RA) patients: biologic disease-modifying antirheumatic drug (bDMARD) initiators and switchers.Patients and methods: This retrospective cohort study utilized a national health insurance claims database. Patients aged ≥18 years initiating/switching bDMARD between 1 December 2013 and 31 December 2014, the index period, were followed for 12 months. Initiators who began treatment with a bDMARD during the index period were defined as having no bDMARD prescriptions for the previous year. Switchers who changed treatment from the previous bDMARD to the index bDMARD were defined as having different bDMARDs during the index period. Treatment persistence rates during the follow-up period were measured, and factors associated with non-persistence were assessed with the Cox proportional hazard model.Results: Of 2684 patients, treatment persistence rates were the highest for abatacept in initiators (69.3%) and tocilizumab in switchers (77.0%), while adalimumab showed the lowest persistence rates for both initiators and switchers (48.2%, 28.8%), followed by etanercept (51.3%, 41.0%). Adalimumab and etanercept were significantly more likely to show non-persistence (HR 1.58, 95% CI 1.27-1.96; HR 1.42, 95% CI 1.14-1.76) compared to infliximab for initiators, while tocilizumab was significantly more likely to show persistence (HR 0.411, 95% CI 0.206-0.819) in switchers.Conclusions: Non-TNF inhibitors showed higher persistence rates than TNF inhibitors in South Korean RA patients, and tocilizumab especially was associated with higher persistence in patients with inadequate response to TNF inhibitors. Good persistence with non-TNF inhibitors indicates the potential for long-term efficacy as first-line treatment. [ABSTRACT FROM AUTHOR]

Purpose: The benefit-risk balance for drugs can alter post approval owing to additional data on efficacy or adverse events. This study developed a quantitative benefit-risk assessment (BRA) model for statins using multicriteria decision analysis with discrete choice experiments and compared a recent BRA with that at the time of approval.Patients and Methods: Following a systematic review of the literature, the benefit criteria within the statin BRA model were defined as a reduction in the plasma low-density lipoprotein cholesterol level and a reduction in myocardial infarction incidence; the risk criteria were hepatotoxicity (Liv) and fatal rhabdomyolysis (Rha). The scores for these criteria were estimated using mixed treatment comparison methods. Weighting was calculated from a discrete choice experiment involving 203 Korean patients. The scores and weights were integrated to produce an overall value representing the benefit-risk balance, and sensitivity analyses were conducted.Results: In this BRA model, low-density lipoprotein (relative importance [RI]: 37.50%) was found to be a more important benefit criterion than myocardial infarction (RI: 35.43%), and Liv (RI: 16.28%) was a more important risk criterion than Rha (RI: 10.79%). Patients preferred atorvastatin, and the preference ranking of cerivastatin and simvastatin was switched post approval because of the emergence of additional risk information related to cerivastatin.Conclusion: A quantitative statin BRA model confirmed that the preference ranking of statins changed post approval because of the identification of additional benefits or risks. [ABSTRACT FROM AUTHOR]

Purpose: The benefit-risk balance for drugs can alter post approval owing to additional data on efficacy or adverse events. This study developed a quantitative benefit-risk assessment (BRA) model for statins using multicriteria decision analysis with discrete choice experiments and compared a recent BRA with that at the time of approval., Patients and Methods: Following a systematic review of the literature, the benefit criteria within the statin BRA model were defined as a reduction in the plasma low-density lipoprotein cholesterol level and a reduction in myocardial infarction incidence; the risk criteria were hepatotoxicity (Liv) and fatal rhabdomyolysis (Rha). The scores for these criteria were estimated using mixed treatment comparison methods. Weighting was calculated from a discrete choice experiment involving 203 Korean patients. The scores and weights were integrated to produce an overall value representing the benefit-risk balance, and sensitivity analyses were conducted., Results: In this BRA model, low-density lipoprotein (relative importance [RI]: 37.50%) was found to be a more important benefit criterion than myocardial infarction (RI: 35.43%), and Liv (RI: 16.28%) was a more important risk criterion than Rha (RI: 10.79%). Patients preferred atorvastatin, and the preference ranking of cerivastatin and simvastatin was switched post approval because of the emergence of additional risk information related to cerivastatin., Conclusion: A quantitative statin BRA model confirmed that the preference ranking of statins changed post approval because of the identification of additional benefits or risks.

Purpose: To elucidate and compare benefit-risk preferences among Korean patients and physicians concerning cyclooxygenase-2 (Cox-2) inhibitor treatments for arthritis., Materials and Methods: Subjects included 100 patients with arthritis and 60 board-certified orthopedic surgeon physicians in South Korea. Through a systematic review of the literature, beneficial attributes of using Cox-2 inhibitors were defined as a decrease in the Western Ontario and McMaster Universities Arthritis Index for pain score and improvement in physical function. Likewise, risk attributes included upper gastrointestinal (GI) complications and cardiovascular (CV) adverse events. Discrete choice experiments were used to determine preferences for these four attributes among Korean patients and physicians. Relative importance and maximum acceptable risk for improving beneficial attributes were assessed by analyzing the results of the discrete choice experiment by using a conditional logit model., Results: Patients ranked the relative importance of benefit-risk attributes as follows: pain reduction (35.2%); physical function improvement (30.0%); fewer CV adverse events (21.5%); fewer GI complications (13.4%). The physicians' ranking for the same attributes was as follows: fewer CV (33.5%); pain reduction (32.4%); fewer GI complications (18.1%); physical function improvement (16.0%). Patients were more willing than physicians to accept risks when pain improved from 20% or 45% to 55% and physical function improved from 15% or 35% to 45%., Conclusion: We confirmed that patients and physicians had different benefit-risk preferences regarding Cox-2 inhibitors. Patients with arthritis prioritized the benefits of Cox-2 inhibitors over the risks; moreover, in comparison with the physicians, arthritis patients were more willing to accept the trade-off between benefits and risks to achieve the best treatment level. To reduce the preference gap and achieve treatment goals, physicians must better understand their patients' preferences.