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Short-term Trajectories of Poststroke Cognitive Function: A STROKOG Collaboration Study

Authors :
Lo, Jessica W.
Crawford, John D.
Desmond, David W.
Bae, Hee Joon
Lim, Jae Sung
Godefroy, Olivier
Roussel, Martine
Köhler, Sebastian
Staals, Julie
Verhey, Frans
Chen, Christopher
Xu, Xin
Chong, Eddie J.
Kandiah, Nagaendran
Bordet, Régis
Dondaine, Thibaut
Mendyk, Anne Marie
Brodaty, Henry
Traykov, Latchezar
Mehrabian, Shima
Petrova, Neli
Lipnicki, Darren M.
Lam, Ben Chun Pan
Sachdev, Perminder S.
Lo, Jessica W.
Crawford, John D.
Desmond, David W.
Bae, Hee Joon
Lim, Jae Sung
Godefroy, Olivier
Roussel, Martine
Köhler, Sebastian
Staals, Julie
Verhey, Frans
Chen, Christopher
Xu, Xin
Chong, Eddie J.
Kandiah, Nagaendran
Bordet, Régis
Dondaine, Thibaut
Mendyk, Anne Marie
Brodaty, Henry
Traykov, Latchezar
Mehrabian, Shima
Petrova, Neli
Lipnicki, Darren M.
Lam, Ben Chun Pan
Sachdev, Perminder S.
Source :
Neurology vol.100 (2023) date: 2023-06-06 nr.23 p.E2331-E2341 [ISSN 0028-3878]
Publication Year :
2023

Abstract

Background and ObjectivesPast 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").MethodsData were sought from the Stroke and Cognition consortium. LCGA was used to identify clusters of trajectories based on standardized global cognition scores at baseline (T1) and at the 1-year follow-up (T2). 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 (T3).ResultsNine 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 T1 was 3.6 months poststroke, 1.0 year at T2, and 3.2 years at T3. LCGA identified 3 trajectory groups, which were characterized by different mean levels of cognition scores at T1 (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

Details

Database :
OAIster
Journal :
Neurology vol.100 (2023) date: 2023-06-06 nr.23 p.E2331-E2341 [ISSN 0028-3878]
Notes :
DOI: 10.1212/WNL.0000000000207281, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1427435743
Document Type :
Electronic Resource