Association between illness progression measures and total cost in Alzheimer's disease.

OBJECTIVE: To compare the associations between dependence and clinical measures of cognition, function and behaviour and total care cost using data from a longitudinal study in Alzheimer's disease (AD). DESIGN: Longitudinal, observational study. SETTING: Community-dwelling subjects. PARTICIPANTS: Male and female subjects between 50 and 85 years of age with mild to moderate AD. INTERVENTION: None. MEASUREMENTS: Subject dependence was assessed using the Dependence Scale (DS), cognition (ADAS-Cog, MMSE), function (DAD), behaviour (NPI) and resource utilization with the Resource Utilization in Dementia Questionnaire. RESULTS: The repeated measures models confirmed a significant association between the DS and total care cost indicating an increase in cost with increasing dependence. A 1-unit increase in DS score was associated with a 28.60% increase in total care cost. Model 2 indicated that a one point change in MMSE, DAD and NPI is associated with 5.29%, 2.32% and 1.71% increase in total cost, respectively. Model 3 indicated that a one point change in ADAS-Cog, DAD and NPI is associated with a 1.74%, 2.42%and 1.62% increase in total cost, respectively. CONCLUSION: Strategies which prevent deterioration in clinical measures or delay dependence should result in total cost savings. The quantitative relationships observed should assist in the economic assessment of interventions which effect cognition, function, behaviour and dependence.

Assessment of potential measures in models of progression in Alzheimer disease.

BACKGROUND: In estimating the potential benefits of treatment, it is often necessary to extrapolate beyond clinical trial results using economic modeling. Previous attempts in Alzheimer disease (AD) were primarily based on the Mini-Mental State Examination (MMSE) due to its widespread use. These models were criticized as not accurately reflecting the total impact of the disease, providing untrustworthy estimates of treatment benefit. We compared 3 alternatives to the MMSE with respect to bridging between clinical outcomes needed for regulatory approval and economic and quality of life (QOL) outcomes important to reimbursement agencies. METHODS: The MMSE, Disability Assessment in Dementia (DAD) scale, Clinical Dementia Rating (CDR) scale, and Dependence Scale (DS) were compared in their ability to explain variation in cognitive, functional, and behavioral measures as well as economic and QOL outcomes using univariate (Pearson correlations) and multivariate (linear regression) analyses of data from research sites in the United States and Europe. RESULTS: Subjects with mild to moderate AD (n = 196; mean 75.9 years; 56% female) were evaluated. The DS, DAD, and CDR were moderately correlated with the MMSE (Pearson correlations, range 0.54-0.58) but performed better (higher adjusted R(2)) than the MMSE in explaining variations in subject behavior, QOL, and health status. The DS and DAD performed better in explaining variation in medical costs, caregiver QOL, and caregiver time. CONCLUSIONS: Measures of function (DAD) or dependence on others (DS), or global measures (CDR), appear to be better candidates than the MMSE for modeling AD progression.

Novel approaches to incorporating pharmacoeconomic studies into phase III clinical trials for Alzheimer's disease.

The societal and individual costs of Alzheimer's disease are significant, worldwide. As the world ages, these costs are increasing rapidly, while health systems face finite budgets. As a result, many regulators and payers will require or at least consider phase III cost-effectiveness data (in addition to safety and efficacy data) for drug approval and reimbursement, increasing the risks and costs of drug development. Incorporating pharmacoeconomic studies in phase III clinical trials for Alzheimer's disease presents a number of challenges. We propose several specific suggestions to improve the design of pharmacoeconomic studies in phase III clinical trials. We propose that acute episodes of care are key outcome measures for pharmacoeconomic studies. To improve the possibility of detecting a pharmacoeconomic impact in phase III, we suggest several strategies including; study designs for enrichment of pharmacoeconomic outcomes that include co-morbidity of patients; reducing variability of care that can affect pharmacoeconomic outcomes through standardized care management; employing administrative claims data to better capture meaningful pharmacoeconomic data; and extending clinical trials in open label follow-up periods in which pharmacoeconomic data are captured electronically by administrative claims. Specific aspects of power analysis for pharmacoeconomic studies are presented. The particular pharmacoeconomic challenges caused by the use of biomarkers in clinical trials, the increasing use of multinational studies, and the pharmacoeconomic challenges presented by biologicals in development for Alzheimer's disease are discussed. In summary, since we are entering an era in which pharmacoeconomic studies will be essential in drug development for supporting regulatory approval, payor reimbursement and integration of new therapies into clinical care, we must consider the design and incorporation of pharmacoeconomic studies in phase III clinical trials more seriously and more creatively.

Long-term follow-up of patients immunized with AN1792: reduced functional decline in antibody responders.

BACKGROUND: Immunization of patients with Alzheimer's disease (AD) with synthetic amyloid-beta peptide (Abeta(42)) (AN1792) was previously studied in a randomized, double-blind, placebo-controlled phase 2a clinical trial, Study AN1792(QS-21)-201. Treatment was discontinued following reports of encephalitis. One year follow-up revealed that AN1792 antibody responders showed improvements in cognitive measures as assessed by the neuropsychological test battery (NTB) and a decrease in brain volume compared with placebo. METHODS: A follow-up study, Study AN1792(QS-21)-251, was conducted to assess the long-term functional, psychometric, neuroimaging, and safety outcomes of patients from the phase 2a study 4.6 years after immunization with AN1792. The results were analyzed by comparing patients originally identified as antibody responders in the AN1792 phase 2a study with placebo-treated patients. RESULTS: One hundred and fifty-nine patients/caregivers (30 placebo; 129 AN1792) participated in this follow-up study. Of the 129 AN1792-treated patients, 25 were classified in the phase 2a study as antibody responders (anti-AN1792 titers > or = 1:2,200 at any time after the first injection). Low but detectable, sustained anti-AN1792 titers were found in 17 of 19 samples obtained from patients classified as antibody responders in the phase 2a study. No detectable anti-AN1792 antibodies were found in patients not classified as antibody responders in the phase 2a study. Significantly less decline was observed on the Disability Assessment for Dementia scale among antibody responders than placebo-treated patients (p=0.015) after 4.6 years. Significant differences in favor of responders were also observed on the Dependence Scale (p=0.033). Of the small number of patients who underwent a follow-up MRI, antibody responders showed similar brain volume loss during the follow-up period subsequent to the AN1792 phase 2a study compared with placebo-treated patients. CONCLUSIONS: Approximately 4.6 years after immunization with AN1792, patients defined as responders in the phase 2a study maintained low but detectable, sustained anti-AN1792 antibody titers and demonstrated significantly reduced functional decline compared with placebo-treated patients. Brain volume loss in antibody responders was not significantly different from placebo-treated patients approximately 3.6 years from the end of the original study. No further cases of encephalitis were noted. These data support the hypothesis that Abeta immunotherapy may have long-term functional benefits.

Bridging from clinical endpoints to estimates of treatment value for external decision makers.

AIM: While clinical endpoints provide important information on the efficacy of treatment in controlled conditions, they often are not relevant to decision makers trying to gauge the potential economic impact or value of new treatments. Therefore, it is often necessary to translate changes in cognition, function or behavior into changes in cost or other measures, which can be problematic if not conducted in a transparent manner. The Dependence Scale (DS), which measures the level of assistance a patient requires due to AD-related deficits, may provide a useful measure of the impact of AD progression in a way that is relevant to patients, providers and payers, by linking clinical endpoints to estimates of cost effectiveness or value. The aim of this analysis was to test the association of the DS to clinical endpoints and AD-related costs. METHOD: The relationship between DS score and other endpoints was explored using the Predictors Study, a large, multi-center cohort of patients with probable AD followed annually for four years. Enrollment required a modified Mini-Mental State Examination (mMMS) score >or= 30, equivalent to a score of approximately >or= 16 on the MMSE. DS summated scores (range: 0- 15) were compared to measures of cognition (MMSE), function (Blessed Dementia Rating Scale, BDRS, 0-17), behavior, extrapyramidal symptoms (EPS), and psychotic symptoms (illusions, delusions or hallucinations). Also, estimates for total cost (sum of direct medical cost, direct non-medical cost, and cost of informal caregivers' time) were compared to DS scores. RESULTS: For the 172 patients in the analysis, mean baseline scores were: DS: 5.2 (SD: 2.0), MMSE: 23.0 (SD: 3.5), BDRS: 2.9 (SD: 1.3), EPS: 10.8%, behavior: 28.9% psychotic symptoms: 21.1%. After 4 years, mean scores were: DS: 8.9 (SD: 2.9), MMSE: 17.2 (SD: 4.7), BDRS: 5.2 (SD: 1.4), EPS: 37.5%, behavior: 60.0%, psychotic symptoms: 46.7%. At baseline, DS scores were significantly correlated with MMSE (r=-0.299, p < 0.01), BDRS (r=0.610, p < 0.01), behavior (r=.2633, p=0.0005), EPS (r=0.1910, p=0.0137) and psychotic symptoms (r=0.253, p < 0.01); and at 4-year follow-up, DS scores were significantly correlated with MMSE (r=-0.3705, p=0.017), BDRS (r=0.6982, p < 0.001). Correlations between DS and behavior (-0.0085, p=0.96), EPS (r=0.3824, p=0.0794), psychotic symptoms (r=0.130, ns) were not statistically significant at follow-up. DS scores were also significantly correlated with total costs at baseline (r=0.2615, p=0.0003) and follow-up (r=0.3359, p=0.0318). DISCUSSION: AD is associated with deficits in cognition, function and behavior, thus it is imperative that these constructs are assessed in trials of AD treatment. However, assessing multiple endpoints can lead to confusion for decision makers if treatments do not impact all endpoints similarly, especially if the measures are not used typically in practice. One potential method for translating these deficits into a more meaningful outcome would be to identify a separate construct, one that takes a broader view of the overall impact of the disease. Patient dependence, as measured by the DS, would appear to be a reasonable choice - it is associated with the three clinical endpoints, as well as measures of cost (medical and informal), thereby providing a bridge between measures of clinical efficacy and value in a single, transparent measure.

The effects of air and helium on the performance of the ion trap detector when used for real-time monitoring of some atmospheric pollutants.

The feasibility of using an ion trap detector for real-time monitoring of volatile organic compounds in atmospheric samples is demonstrated. Detection limits in the low part-per-million to low part-per-billion ranges are achieved with an operating dynamic range of at least 5 orders of magnitude. Sample introduction through semipermeable membranes and molecular leak valves was evaluated. The membrane introduction method provided detection limit enhancements of 10-300 times over the molecular leak method. The effects of partial pressure from air and helium buffer gas were studied, and it was determined that, for optimum amounts of air, the helium buffer gas had no apparent effect on sensitivity or resolution. Air acts as the buffer gas to enhance ion signals by collisionally damping ion motion. The enhancement of molecular ion abundance at high partial pressures of air is postulated to be due to charge exchange and possibly collisional stabilization reactions.