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Pharmacometric analysis of the relationship between absolute lymphocyte count, and expanded disability status scale and relapse rate, efficacy end points, in multiple sclerosis trials

Novakovic, Ana M., 1985- (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Merck KGaA, Pharmacometry, Darmstadt, Germany,Pharmacometrics group
Thorsted, Anders (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
Schindler, Emilie (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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Jönsson, Siv, 1963- (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
Munafo, Alain (författare)
Merck Institute of Pharmacometrics, Lausanne, Switzerland
Karlsson, Mats (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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 (creator_code:org_t)
2018-05-10
2018
Engelska.
Ingår i: Journal of clinical pharmacology. - : Wiley. - 0091-2700 .- 1552-4604. ; 58:10, s. 1284-1294
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • The aim of this work was to assess the relationship between the absolute lymphocyte count (ALC), and disability (as measured by the Expanded Disability Status Scale [EDSS]) and occurrence of relapses, 2 efficacy endpoints, respectively, in patients with remitting-relasping multiple sclerosis. Data for ALC, EDSS, and relapse rate were available from 1319 patients receiving placebo and/or cladribine tablets. Pharmacodynamic models were developed to characterize the time course of the endpoints. ALC-related measures were then evaluated as predictors of the efficacy endpoints. EDSS data were best fitted by a model where the logit-linear disease progression is affected by the dynamics of ALC change from baseline. Relapse rate data were best described by the Weibull hazard function, and the ALC change from baseline was also found to be a significant predictor of time to relapse. Presented models have shown that once cladribine exposure driven ALC-derived measures are included in the model, the need for drug effect components is of less importance (EDSS) or disappears (relapse rate). This simplifies the models and theoretically makes them mechanism specific rather than drug specific. Having a reliable mechanism-specific model would allow leveraging historical data across compounds, to support decision making in drug development and possibly shorten the time to market.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Farmaceutiska vetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Pharmaceutical Sciences (hsv//eng)

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