Ontology highlight
ABSTRACT: Objectives
The objective was to develop and validate a risk model for the likelihood of extensive white matter lesions (extWML) to inform clinicians on whether to proceed with or forgo diagnostic MRI.Design
Population-based cohort study and multivariable prediction model.Setting
Two representative samples from France.Participants
Persons aged 60-80 years without dementia or stroke. Derivation sample n=1714; validation sample n=789.Primary and secondary outcome measures
Volume of extWML (log cm3) was obtained from T2-weighted images in a 1.5 T scanner. 20 candidate risk factors for extWML were evaluated with the C-statistic. Secondary outcomes in validation included incident stroke over 12 years follow-up.Results
The multivariable prediction model included six clinical risk factors (C-statistic=0.61). A cut-off of 7 points on the multivariable prediction model yielded the optimum balance in sensitivity 63.7% and specificity 54.0% and the negative predictive value was high (81.8%), but the positive predictive value was low (31.5%). In further validation, incident stroke risk was associated with continuous scores on the multivariable prediction model (HR 1.02; 95% CI 1.01 to 1.04, P=0.02) and dichotomised scores from the multivariable prediction model (HR 1.28; 95% CI 1.02 to 1.60, P=0.03).Conclusions
A simple clinical risk equation for WML constituted by six variables can inform decisions whether to proceed with or forgo brain MRI. The high-negative predictive value demonstrates potential to reduce unnecessary MRI in the population aged 60-80 years.
SUBMITTER: Tully PJ
PROVIDER: S-EPMC5778304 | biostudies-literature | 2017 Dec
REPOSITORIES: biostudies-literature
Tully Phillip J PJ Qchiqach Sarah S Pereira Edwige E Debette Stephanie S Mazoyer Bernard B Tzourio Christophe C
BMJ open 20171229 12
<h4>Objectives</h4>The objective was to develop and validate a risk model for the likelihood of extensive white matter lesions (extWML) to inform clinicians on whether to proceed with or forgo diagnostic MRI.<h4>Design</h4>Population-based cohort study and multivariable prediction model.<h4>Setting</h4>Two representative samples from France.<h4>Participants</h4>Persons aged 60-80 years without dementia or stroke. Derivation sample n=1714; validation sample n=789.<h4>Primary and secondary outcome ...[more]