Evaluation of Changes in Skin and Joint Outcomes and Associated Treatment Changes in Psoriatic Arthritis (PsA): Experience From the Corrona PsA/SpA Registry.

Objective: To characterize skin severity and joint activity outcomes and associated treatment changes in patients with psoriatic arthritis (PsA) through 12 months of follow-up after enrollment in the Corrona Psoriatic Arthritis/Spondyloarthritis (PsA/SpA) Registry.

Methods: Patients ≥ 18 years of age with a diagnosis of PsA and a history of psoriasis between March 21, 2013, and September 30, 2016, were enrolled (n = 647). Demographics, clinical features, and treatment characteristics were collected and stratified by skin severity and joint activity.

Achievement of the National Psoriasis Foundation treatment targets with ixekizumab: Pooled analyses from 4 clinical studies.

Background: The National Psoriasis Foundation (NPF) published treatment targets for US patients with plaque psoriasis. However, data are lacking on how well existing therapies help achieve these goals.

Objective: To examine the ability of an interleukin 17 inhibitor, ixekizumab, in achieving these treatment targets.

Understanding the association between skin involvement and joint activity in patients with psoriatic arthritis: experience from the Corrona Registry.

Objective: To compare the characteristics of patients with psoriatic arthritis among patient groups stratified by degree of skin and joint involvement, and to evaluate the relationship between skin severity and joint activity.

Methods: Body surface area (BSA) and Clinical Disease Activity Index (CDAI) at enrolment were analysed. Patient characteristics were stratified by skin severity and joint activity.

Crossover design and its application in late-phase diabetes studies.

Crossover design has been widely used in late-phase clinical studies, as well as in pharmacokinetic and pharmacodynamic, bioequivalence, and medical device studies; however, its interpretability and applicability continue to be debated. Herein we provide discussions around a crossover design's scientific benefit, applicability, and how it can be implemented in late-phase diabetes studies by properly handling key issues: carryover effect, washout period, and baseline selection. Specifically, detailed considerations are provided about the validity and situations of having appropriate length of study duration to deal with carryover effects so that a washout period may not be needed.

A comparison of different statistical methods analyzing hypoglycemia data using bootstrap simulations.

Hypoglycemia has long been recognized as a major barrier to achieving normoglycemia with intensive diabetic therapies. It is a common safety concern for the diabetes patients. Therefore, it is important to apply appropriate statistical methods when analyzing hypoglycemia data.

A Bayesian approach to the statistical analysis of device preference studies.

Drug delivery devices are required to have excellent technical specifications to deliver drugs accurately, and in addition, the devices should provide a satisfactory experience to patients because this can have a direct effect on drug compliance. To compare patients' experience with two devices, cross-over studies with patient-reported outcomes (PRO) as response variables are often used. Because of the strength of cross-over designs, each subject can directly compare the two devices by using the PRO variables, and variables indicating preference (preferring A, preferring B, or no preference) can be easily derived.