Short-term Trajectories of Poststroke Cognitive Function
Jessica Lo, John D. Crawford, David W. Desmond, Hee‐Joon Bae, Jae‐Sung Lim, Olivier Godefroy, Martine F. Roussel, Sebastian Köhler, Julie Staals, Frans R.J. Verhey, Christopher Chen, Xin Xu, Eddie Chong, Nagaendran Kandiah, Régis Bordet, Thibaut Dondaine, Anne‐Marie Mendyk, Henry Brodaty, Latchezar Traykov, Shima Mehrabian, N. V. Petrova, Darren M. Lipnicki, Ben C. P. Lam, Perminder S. Sachdev, Rufus Akinyemi, Philip M. Bath, Amy Brodtmann, Abdel Douiri, Martin Dichgans, Michael Hoffmann, Raj N. Kalaria, Hanna Jokinen, Paul de Kort, Gary K. K. Lau, Byung‐Chul Lee, Thomas Lindén, Hugh S. Markus, Vincent Mok, Aleksandra Klimkowicz- Mrowiec, M. Gerard O’Sullivan, Behnam Sabayan, Velandai Srikanth, Joanna M. Wardlaw, Charlotte Cordonnier, Qun Xu, Kyung‐Ho Yu
Abstract
<h3>Background and Objectives</h3> Past studies on poststroke cognitive function have focused on the average performance or change over time, but few have investigated patterns of cognitive trajectories after stroke. This project used latent class growth analysis (LCGA) to identify clusters of patients with similar patterns of cognition scores over the first-year poststroke and the extent to which long-term cognitive outcome is predicted by the clusters (“trajectory groups”). <h3>Methods</h3> Data were sought from the Stroke and Cognition consortium. LCGA was used to identify clusters of trajectories based on standardized global cognition scores at baseline (T<sub>1</sub>) and at the 1-year follow-up (T<sub>2</sub>). One-step individual participant data meta-analysis was used to examine risk factors for trajectory groups and association of trajectory groups with cognition at the long-term follow-up (T<sub>3</sub>). <h3>Results</h3> Nine hospital-based stroke cohorts with 1,149 patients (63% male; mean age 66.4 years [SD 11.0]) were included. The median time assessed at T<sub>1</sub> was 3.6 months poststroke, 1.0 year at T<sub>2</sub>, and 3.2 years at T<sub>3</sub>. LCGA identified 3 trajectory groups, which were characterized by different mean levels of cognition scores at T<sub>1</sub> (low-performance, −3.27 SD [0.94], 17%; medium-performance, −1.23 SD [0.68], 48%; and high-performance, 0.71 SD [0.77], 35%). There was significant improvement in cognition for the high-performance group (0.22 SD per year, 95% CI 0.07–0.36), but changes for the low-performance and medium-performance groups were not significant (−0.10 SD per year, 95% CI −0.33 to 0.13; 0.11 SD per year, 95% CI −0.08 to 0.24, respectively). Factors associated with the low- (vs high-) performance group include age (relative risk ratio [RRR] 1.18, 95% CI 1.14–1.23), years of education (RRR 0.61, 95% CI 0.56–0.67), diabetes (RRR 3.78, 95% CI 2.08–6.88), large artery vs small vessel strokes (RRR 2.77, 95% CI 1.32–5.83), and moderate/severe strokes (RRR 3.17, 95% CI 1.42–7.08). Trajectory groups were predictive of global cognition at T<sub>3</sub>, but its predictive power was comparable with scores at T<sub>1</sub>. <h3>Discussion</h3> The trajectory of cognitive function over the first-year poststroke is heterogenous. Baseline cognitive function ∼3.6 months poststroke is a good predictor of long-term cognitive outcome. Older age, lower levels of education, diabetes, large artery strokes, and greater stroke severity are risk factors for lower cognitive performance over the first year.