ArticleSpinal cord2024
The role of clinical and demographic predictors for understanding the cognitive impairment in Spinal Cord Injury (SCI) patients.
Article in Spinal cord, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prevalence and psychosocial interventions of mental disorders following traumatic spinal cord injury: a systematic review and meta-analysis based on knowledge graphs.BMC psychiatry · 2026Pooled it
- The relationship between depression and cognitive function among adults with spinal cord injury: a systematic review and meta-analysis.Spinal cord · 2026Pooled it
- Gut-brain axis mechanisms of remote brain dysfunction after traumatic spinal cord injury: immune inflammation, the vagus nerve, and neuroendocrine pathways.Frontiers in cellular neuroscience · 2026Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
designUsing a cross-sectional design, we extracted sociodemographic and clinical data from 488 Spinal Cord Injury (SCI) patients during their initial assessment before receiving intensive rehabilitation treatment.
objectivesThe primary objectives of this study were to ascertain the prevalence of cognitive impairment in the study sample and specify the key clinical and demographic predictors of cognitive functioning in SCI patients.
settingLucy Montoro Rehabilitation Institute (LMRI), University of Sao Paulo, Sao Paulo, Brazil.
methodsWe utilized independent univariate and multivariate regression models with the Montreal Cognitive Assessment (MoCA) scale, adapted for individuals with visual impairment. Moreover, we consider scores from the execution tasks (visuospatial/executive) as the dependent variable.
resultsOur findings demonstrate that approximately 80% of the evaluated study sample exhibited cognitive impairment. Through the multivariate regression models, we show that several factors, including age, education, depression levels, and the use of analgesics and/or opioids, are significant predictors of total cognitive scores. These factors are independent of the clinical features associated with SCI, such as age, sex, education, and time since the injury.
conclusionsThe results indicate a high prevalence of significant cognitive impairment within the sample, with age, education, depression levels, and the use of analgesics and/or opioids emerging as the primary predictors of total cognitive scores, independent of the clinical features correlated to SCI. These findings hold significant implications for both clinical research and practice, offering valuable guidance for comprehensive management throughout hospitalization and rehabilitation.
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