The aim of the present investigation was to assess and compare health status instruments in SLE. One hundred and twenty-five patients completed five health status instruments: the Health Assessment Questionnaire (HAQ), Functional Ability Index, the Fatigue Severity Scale (FSS), the Disability Days Measure (DDM), the Centre for Epidemiological Studies-Depression Scale (CES-D), and the Medical Outcomes Study (MOS) Short Form Health Survey during their Clinic visit. Disease activity was measured using the SLE Disease Activity Index (SLEDAI). All instruments described a spectrum of quality of life outcomes in these patients. An inter-instrument correlation analysis revealed that components of the MOS correlated significantly with each of the other instruments used. There was no correlation between any of the instruments used and the SLEDAI. We conclude that health status assessment as measured by the MOS short form is a valid independent outcome measure in patients with SLE.
Although no direct cause and effect can be shown with these observational data, the results suggest that the change in reimbursement policy to restrict prescribing of fluoroquinolones decreased their use and associated expenditures. These decreases were offset by increases in the use of other antibiotics. The balance of consequent benefit and harm of these shifts in prescribing patterns needs to be examined carefully. Alternative solutions to encourage appropriate use of antibiotics deserve exploration.
A B S T R A C T PurposeAlthough much is known about the safety of an anticancer agent at the time of initial marketing approval, sponsors customarily collect comprehensive safety data for studies that support supplemental indications. This adds significant cost and complexity to the study but may not provide useful new information. The main purpose of this analysis was to assess the amount of safety and concomitant medication data collected to determine a more optimal approach in the collection of these data when used in support of supplemental applications. Methods Following a prospectively developed statistical analysis plan, we reanalyzed safety data from eight previously completed prospective randomized trials. Results A total of 107,884 adverse events and 136,608 concomitant medication records were reviewed for the analysis. Of these, four grade 1 to 2 and nine grade 3 and higher events were identified as drug effects that were not included in the previously established safety profiles and could potentially have been missed using subsampling. These events were frequently detected in subsamples of 400 patients or larger. Furthermore, none of the concomitant medication records contributed to labeling changes for the supplemental indications. Conclusion Our study found that applying the optimized methodologic approach, described herein, has a high probability of detecting new drug safety signals. Focusing data collection on signals that cause physicians to modify or discontinue treatment ensures that safety issues of the highest concern for patients and regulators are captured and has significant potential to relieve strain on the clinical trials system.
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