The role of clinical and demographic predictors for understanding the cognitive impairment in Spinal Cord Injury (SCI) patients.

STUDY DESIGN: Using 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. OBJECTIVES: The 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. SETTING: Lucy Montoro Rehabilitation Institute (LMRI), University of Sao Paulo, Sao Paulo, Brazil. METHODS: We 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. RESULTS: Our 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. CONCLUSIONS: The 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.

Clinical and demographic predictors of symptoms of depression and anxiety in patients with spinal cord injury.

Spinal Cord Injury (SCI) is a condition whose consequences can impact the physical, emotional, and social aspects of patient's life, including Depression and Anxiety disorders. STUDY DESIGN: Using a cross-sectional design, sociodemographic and clinical data were extracted from 556 SCI patients at the time of initial assessment, prior to intensive rehabilitation treatment at the local rehabilitation institute. OBJECTIVES: Identify the predictive and multivariate relationship between different sociodemographic and clinical variables of Depression and Anxiety symptoms in SCI patients. SETTING: Lucy Montoro Rehabilitation Institute (LMRI), University of Sao Paulo, Sao Paulo, Brazil. METHODS: We performed independent univariate and multivariate regression models using the Hospital Anxiety and Depression Scale (HADS) as dependent variable. RESULTS: Symptoms of depression and anxiety present in SCI patients negatively correlate with the level of independence for locomotion, personal hygiene, bowel control, social interaction measured by the Functional Independence Scale (FIM), type of medication in use and the Language subtest of the MoCA Scale. Unlike previous studies, we did not find a relationship with the use of alcohol and illicit drugs, injury levels, etiological diagnosis or duration of injury. For the anxiety models, the main predictor was Depression symptoms, with SCI-related aspects not being significant. It was found that characteristics of the FIM Scale and cognitive aspects of the MoCA Scale were the main predictors of symptoms of Depression. Characteristics of the injury and motor deficit were not statistically significant. CONCLUSIONS: These findings can potentially be used to guide clinical practices to identify patients at higher risk of experiencing symptoms of Depression and Anxiety.