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

被引:5
|
作者
Lo, Jessica W. W. [1 ]
Crawford, John [1 ]
Desmond, David
Bae, Hee-Joon [2 ]
Lim, Jae-Sung [3 ]
Godefroy, Olivier [4 ,5 ]
Roussel, Martine [4 ,5 ]
Koehler, Sebastian [6 ]
Staals, Julie [7 ]
Verhey, Frans [6 ]
Chen, Christopher [8 ,9 ]
Xu, Xin [8 ,9 ,10 ,11 ]
Chong, Eddie J. [8 ,9 ]
Kandiah, Nagaendran [12 ,13 ]
Bordet, Regis [14 ]
Dondaine, Thibaut [14 ]
Mendyk, Anne-Marie [14 ]
Brodaty, Henry [15 ]
Traykov, Latchezar [16 ]
Mehrabian, Shima M. [16 ]
Petrova, Neli [17 ]
Lipnicki, Darren S. [1 ]
Lam, Ben Chun Pan [1 ]
Sachdev, Perminder [1 ,15 ]
机构
[1] UNSW, Ctr Hlth Brain Ageing CHeBA, Sydney, Australia
[2] Seoul Natl Univ, Seoul Natl Univ Bundang Hosp, Dept Neurol, Sch Med, Seongnam, South Korea
[3] Univ Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul, South Korea
[4] Univ Hosp Amiens, Dept Neurol, Amiens, France
[5] Univ Hosp Amiens, Lab Funct Neurosci, Amiens, France
[6] Maastricht Univ, Alzheimer Ctr Limburg, Sch Mental Hlth & Neurosci MHeNs, Dept Psychiat & Neuropsychol, Maastricht, Netherlands
[7] Maastricht Univ Med Ctr MUMC, Sch Cardiovasc Dis CARIM, Dept Neurol, Maastricht, Netherlands
[8] Natl Univ Singapore, Memory Aging & Cognit Ctr, Yong Loo Lin Sch Med, Dept Pharmacol, Singapore, Singapore
[9] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Psychol Med, Singapore, Singapore
[10] Zhejiang Univ, Affiliated Hosp 2, Sch Med, Hangzhou, Peoples R China
[11] Zhejiang Univ, Sch Publ Hlth, Sch Med, Hangzhou, Peoples R China
[12] Natl Neurosci Inst, Singapore, Singapore
[13] Duke NUS Med Sch, Singapore, Singapore
[14] Univ Lille, Inserm, CHU Lille, Lille Neurosci & Cognit, Lille, France
[15] UNSW, Dementia Collaborat Res Ctr, UNSW Med, Sydney, Australia
[16] Med Univ Sofia, Clin Neurol, UH Alexandrovska, Sofia, Bulgaria
[17] Kaneff Univ Hosp, Ruse, Bulgaria
基金
英国医学研究理事会;
关键词
DECLINE; DEMENTIA; RISK; IMPAIRMENT; RECOVERY; RESERVE;
D O I
10.1212/WNL.0000000000207281
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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 (T-1) and at the 1-year follow-up (T-2). 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-3).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 T-1 was 3.6 months poststroke, 1.0 year at T-2, and 3.2 years at T-3. LCGA identified 3 trajectory groups, which were characterized by different mean levels of cognition scores at T-1 (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-3, but its predictive power was comparable with scores at T-1.DiscussionThe trajectory of cognitive function over the first-year poststroke is heterogenous. Baseline cognitive function & SIM;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.
引用
收藏
页码:E2331 / E2341
页数:11
相关论文
共 50 条
  • [31] Postoperative cognitive dysfunction and short-term neuroprotection from blueberries: a pilot study
    Traupe, Ippolito
    Giacalone, Marilu
    Agrimi, Jacopo
    Baroncini, Mattco
    Pome, Antonclla
    Fabiani, Deborah
    Danti, Sabrina
    Timpano Sportiello, Marco R.
    Di Sacco, Filippo
    Lionetti, Vincenzo
    Giunta, Francesco
    Forfori, Francesco
    MINERVA ANESTESIOLOGICA, 2018, 84 (12) : 1352 - 1360
  • [32] Cognitive function and short-term exposure to residential air temperature: A repeated measures study based on spatiotemporal estimates of temperature
    Dai, Lingzhen
    Kloog, Itai
    Coull, Brent A.
    Sparrow, David
    Spiro, Avron, III
    Vokonas, Pantel S.
    Schwartz, Joel D.
    ENVIRONMENTAL RESEARCH, 2016, 150 : 446 - 451
  • [33] Effects of cannabis use on cognitive brain function in adolescents: short-term memory, long-term consequences?
    Jager, G.
    Luijten, M.
    Block, R. I.
    Ramsey, N. F.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2008, 18 : S533 - S533
  • [34] Sleep structure of short-term insomnia disorder with mild cognitive impairment in older adults and their correlation with cognitive function: a case-control study
    Zeng, Jinkun
    Wei, Jia
    Qi, Ruobing
    FRONTIERS IN AGING NEUROSCIENCE, 2025, 16
  • [35] The Methodological Quality of Short-Term/Working Memory Treatments in Poststroke Aphasia: A Systematic Review
    Zakarias, Lilla
    Kelly, Helen
    Sails, Christos
    Code, Chris
    JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, 2019, 62 (06): : 1979 - 2001
  • [36] SHORT-TERM RETENTION AS A FUNCTION OF ITEM FREQUENCY
    LLOYD, KE
    JOURNAL OF PSYCHOLOGY, 1964, 58 (02): : 249 - 253
  • [37] SHORT-TERM EMPLOYMENT FUNCTION FOR KENYAN MANUFACTURING
    MAITHA, JK
    EASTERN AFRICAN ECONOMIC REVIEW, 1972, 4 (02): : 67 - 72
  • [38] Short-term effect of caffeine on olfactory function
    Hummel, Thomas
    Albinus, Janine
    Meusel, Thomas
    Welge-Luessen, Antje
    Haehner, Antje
    CHEMICAL SENSES, 2015, 40 (07) : 582 - 582
  • [39] SHORT-TERM RETENTION AS A FUNCTION OF CONTEXTUAL CONSTRAINT
    LLOYD, KE
    JOHNSTON, WA
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 1963, 65 (05): : 460 - &
  • [40] SHORT-TERM MEMORY AS A FUNCTION OF INPUT MODALITY
    MARGRAIN, SA
    QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 1967, 19 : 109 - &