Ventricular measurements in computed tomography of responders and non-responders to donepezil in the treatment of Alzheimer's disease

Citation
E. Salib et al., Ventricular measurements in computed tomography of responders and non-responders to donepezil in the treatment of Alzheimer's disease, INT J PSYC, 5(3), 2001, pp. 189-194
Citations number
13
Categorie Soggetti
Clinical Psycology & Psychiatry
Journal title
INTERNATIONAL JOURNAL OF PSYCHIATRY IN CLINICAL PRACTICE
ISSN journal
13651501 → ACNP
Volume
5
Issue
3
Year of publication
2001
Pages
189 - 194
Database
ISI
SICI code
1365-1501(200109)5:3<189:VMICTO>2.0.ZU;2-5
Abstract
Introduction: We attempt to see whether the ventricular measurements in rou tine CT scans performed prior to commencing donepezil differed in patients who duly responded well and those who did not, and to explore the potential application of the findings in clinical practice. Method: The study included all patients who were prescribed donepezil durin g a 2-year period in Warrington (n=59). Two groups of patients were compare d in respect of their baseline CT scan ventricular measurements: those who improved or remained stable cognitively on donepezil (n=43) and those who d eclined while on donepezil (MMSE<10) during the study period (n=16). Results: Significant differences in means between the two groups were found in relation to the bicaudate span and bicaudate ratio. Of ventricular meas urements, only the bicaudate parameters were significantly correlated with the baseline Mini Mental State Examination (MMSE) score as well as the rate of decline in cognitive function during the study period (P<0.05). Conclusion: Baseline bicaudate diameter and ratio may be of some value if i ncluded in the initial assessment of patients on donepezil. These measureme nts, in conjunction with other cognitive and functional assessments, may pr ove helpful in deciding whether to commence treatment, and give a rough gui de to the outcome. Future studies, with sufficient statistical power, are n ecessary to explore the use of ventricular parameters in predicting, and mo nitoring patients' response to current and future pharmaco logical treatmen t in Alzheimer's disease.