1. Strategic infarct locations for post-stroke cognitive impairment: a pooled analysis of individual patient data from 12 acute ischaemic stroke cohorts
- Author
-
Weaver, N.A., Weaver, N.A., Kuijf, H.J., Aben, H.P., Abrigo, J., Bae, H.J., Barbay, M., Best, J.G., Bordet, R., Chappell, F.M., Chen, C.P.L.H., Dondaine, T., van der Giessen, R.S., Godefroy, O., Gyanwali, B., Hamilton, O.K.L., Hilal, S., Wajer, I.M.C.H., Kang, Y., Kappelle, L.J., Kim, B.J., Köhler, S., de Kort, P.L.M., Koudstaal, P.J., Kuchcinski, G., Lam, B.Y.K., Lee, B.C., Lee, K.J., Lim, J.S., Lopes, R., Makin, S.D.J., Mendyk, A.M., Mok, V.C.T., Oh, M.S., van Oostenbrugge, R.J., Roussel, M., Shi, L., Staals, J., Valdes-Hernandez, M.D., Venketasubramanian, N., Verhey, F.R.J., Wardlaw, J.M., Werring, D.J., Xin, X., Yu, K.H., van Zandvoort, M.J.E., Zhao, L., Biesbroek, J.M., Biessels, G.J., Weaver, N.A., Weaver, N.A., Kuijf, H.J., Aben, H.P., Abrigo, J., Bae, H.J., Barbay, M., Best, J.G., Bordet, R., Chappell, F.M., Chen, C.P.L.H., Dondaine, T., van der Giessen, R.S., Godefroy, O., Gyanwali, B., Hamilton, O.K.L., Hilal, S., Wajer, I.M.C.H., Kang, Y., Kappelle, L.J., Kim, B.J., Köhler, S., de Kort, P.L.M., Koudstaal, P.J., Kuchcinski, G., Lam, B.Y.K., Lee, B.C., Lee, K.J., Lim, J.S., Lopes, R., Makin, S.D.J., Mendyk, A.M., Mok, V.C.T., Oh, M.S., van Oostenbrugge, R.J., Roussel, M., Shi, L., Staals, J., Valdes-Hernandez, M.D., Venketasubramanian, N., Verhey, F.R.J., Wardlaw, J.M., Werring, D.J., Xin, X., Yu, K.H., van Zandvoort, M.J.E., Zhao, L., Biesbroek, J.M., and Biessels, G.J.
- Abstract
Background Post-stroke cognitive impairment (PSCI) occurs in approximately half of people in the first year after stroke. Infarct location is a potential determinant of PSCI, but a comprehensive map of strategic infarct locations predictive of PSCI is unavailable. We aimed to identify infarct locations most strongly predictive of PSCI after acute ischaemic stroke and use this information to develop a prediction model. Methods In this large-scale multicohort lesion-symptom mapping study, we pooled and harmonised individual patient data from 12 cohorts through the Meta-analyses on Strategic Lesion Locations for Vascular Cognitive Impairment using Lesion-Symptom Mapping (Meta VCI Map) consortium. The identified cohorts (as of Jan 1, 2019) comprised patients with acute symptomatic infarcts on CT or MRI (with available infarct segmentations) and a cognitive assessment up to 15 months after acute ischaemic stroke onset. PSCI was defined as performance lower than the fifth percentile of local normative data, on at least one cognitive domain on a multidomain neuropsychological assessment or on the Montreal Cognitive Assessment. Voxel-based lesion-symptom mapping (VLSM) was used to calculate voxel-wise odds ratios (ORs) for PSCI that were mapped onto a three-dimensional brain template to visualise PSCI risk per location. For the prediction model of PSCI risk, a location impact score on a 5-point scale was derived from the VLSM results on the basis of the mean voxel-wise coefficient (ln[OR]) within each patient's infarct. We did combined internal-external validation by leave-one-cohort-out cross-validation for all 12 cohorts using logistic regression. Predictive performance of a univariable model with only the location impact score was compared with a multivariable model with addition of other clinical PSCI predictors (age, sex, education, time interval between stroke onset and cognitive assessment, history of stroke, and total infarct volume). Testing of visual ratings was d
- Published
- 2021