Data used in preparation of this article were obtained from the ADNI database (http://www.loni.ucla.edu/ADNI). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.ucla.edu/wp-content/uploads/how_to_apply/ADNI_Authorship_List.pdf
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Pharmacodynamics
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Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes
Article first published online: 14 DEC 2012
DOI: 10.1111/j.1365-2125.2012.04308.x
© 2012 Janssen Pharmaceuticals, Inc. British Journal of Clinical Pharmacology © 2012 The British Pharmacological Society
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How to Cite
Samtani, M. N., Raghavan, N., Shi, Y., Novak, G., Farnum, M., Lobanov, V., Schultz, T., Yang, E., DiBernardo, A., Narayan, V. A. and the Alzheimer' s Disease Neuroimaging Initiative (2013), Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes. British Journal of Clinical Pharmacology, 75: 146–161. doi: 10.1111/j.1365-2125.2012.04308.x
Publication History
- Issue published online: 14 DEC 2012
- Article first published online: 14 DEC 2012
- Accepted manuscript online: 25 APR 2012 11:11PM EST
- Received; 21 June 2011; Accepted; 18 April 2012; Accepted Article Published Online; 25 April 2012
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Figure S1
Derived shapes of the progression rate curve as a function of the current ADAS-cog score. Three structural models with different shape parameters were tested and the results of the assessment are shown below
Figure S2
Goodness-of-fit plots for the final model. (A) observed vs. population and individual predictions. The solid line represents the line of identity, (B) population weighted residuals vs. time and population predictions and (C) individual residuals vs. individual predictions, and distribution of population weighted residuals. Ordinate value of zero is presented in all the residual plots (solid line). Dashed line represents the LOWESS smoother. On the bottom right panel, the solid line represents the normal density and the dashed line represents the kernel density of population weighted residuals
Figure S3
Influence of ventricular volume on disease progression: (A) non-progressers without pathologic CSF [log CSF p-tau181P : Aβ1–42 ratio ≤ −1.86] and (B) progressers with pathologic CSF [log CSF /p-tau181P : Aβ1–42 ratio > −1.86]. Ventricular volumes were dichotomized to create roughly equal groups (> Median and ≤ Median) in the left and right panels where median ventricular volumes were 42.9 ml and 38.4 ml. Error bars represent standard error (SE) and lines represent simple linear regression through the data to allow visualization of the trends
Table S1
Elucidation of the motivation behind each stage of the modelling procedure
Table S2
Mixture model parameters for ADAS-cog scores from ADNI MCI subjects with CSF data
Table S3
Parameters of the mixture models fitted to the baseline CSF biomarker data in the ADNI MCI subjects. The MCI population was dichotomized based on the thresholds and the %CC statistic is reported using the post-hoc estimate of the sub-population assignment from the ADAS-cog mixture model
Table S4
Contingency table between CSF status and progresser status from the mixture model
| Filename | Format | Size | Description |
|---|---|---|---|
| bcp4308_sm_Data.doc | 149K | Supporting info item |
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