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1.
Front Psychol ; 15: 1382875, 2024.
Article in English | MEDLINE | ID: mdl-38860054

ABSTRACT

Objective: In the present study, we aimed to assess the cognition of post-COVID-19 condition (PCC) participants in relation to their subjective sleep quality (Pittsburgh Sleep Quality Index, PSQI) and to analyse possible moderators of this effect, such as quality of life (European Quality of Life-5 Dimensions, EQ-5D), fatigue (Chadler Fatigue Questionnaire, CFQ), cognitive reserve (Cognitive Reserve Questionnaire, CRC), and subjective cognitive complaints (Memory Failures of Everyday Questionnaire, MFE-30). Methods: We included 373 individuals with PCC and 126 healthy controls (HCs) from the NAUTILUS Project (NCT05307549 and NCT05307575) who were assessed with a comprehensive neuropsychological battery and various questionnaires. Results: We found that PCC participants with poor sleep quality had a 4.3% greater risk of immediate verbal memory deficits than those with good sleep quality, as indicated by the greater odds ratio (OR) of 1.043 and confidence interval (CI) of 1.023-1.063. Additionally, their risk of immediate verbal memory disorders was multiplied by 2.4 when their EQ-5D score was low (OR 0.33; CI 0.145-0.748), and they had a lower risk of delayed visual memory deficits with a greater CRC (OR 0.963; CI 0.929-0.999). With respect to processing speed, PCC participants with poor sleep quality had a 6.7% greater risk of deficits as the MFE increased (OR 1.059; CI 1.024-1.096), and the risk of slowed processing speed tripled with a lower EQ-5D (OR 0.021; CI 0.003-0.141). Conclusion: These results indicate that poor subjective sleep quality is a potential trigger for cognitive deficits. Therapeutic strategies to maximize sleep quality could include reducing sleep disturbances and perhaps cognitive impairment in PCC individuals.

2.
Brain Behav Immun Health ; 35: 100721, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38269302

ABSTRACT

The study aimed to assess sleep quality in PCC patients and its predictors by analysing its relationship with emotional, cognitive and functional variables, as well as possible differences based on COVID-19 severity. We included 368 individuals with PCC and 123 healthy controls (HCs) from the NAUTILUS Project (NCT05307549 and NCT05307575). We assessed sleep quality (Pittsburgh Sleep Quality Index, PSQI), anxiety (Generalized Anxiety Disorder, GAD-7), depression (Patient Health Questionnaire, PHQ-9), global cognition (Montreal Cognitive Assessment, MoCA), everyday memory failures (Memory Failures of Everyday Questionnaire, MFE-30), fatigue (Chadler Fatigue Questionnaire, CFQ), quality of life (European Quality of Life-5 Dimensions, EQ-5D), and physical activity levels (International Physical Activity Questionnaire, IPAQ). 203 were nonhospitalized, 83 were hospitalized and 82 were admitted to the intensive care unit (ICU). We found statistically significant differences in the PSQI total score between the PCC and HC groups (p < 0.0001), but there were no differences among the PCC groups. In the multiple linear regressions, the PHQ-9 score was a predictor of poor sleep quality for mild PCC patients (p = 0.003); GAD-7 (p = 0.032) and EQ-5D (p = 0.011) scores were predictors of poor sleep quality in the hospitalized PCC group; and GAD-7 (p = 0.045) and IPAQ (p = 0.005) scores were predictors of poor sleep quality in the group of ICU-PCC. These results indicate that worse sleep quality is related to higher levels of depression and anxiety, worse quality of life and less physical activity. Therapeutic strategies should focus on these factors to have a positive impact on the quality of sleep.

3.
Rev Neurol ; 62(10): 460-7, 2016 May 16.
Article in Spanish | MEDLINE | ID: mdl-27149189

ABSTRACT

INTRODUCTION: Stroke is a leading cause of disability in adults. The development of depressive symptoms is the most common emotional complication. To date, most studies of post-stroke depression have excluded patients who have suffered a minor stroke or transient ischaemic attack (TIA), although they are equally vulnerable subgroups of this sickness. AIM: We present a review of published studies of post-stroke depression to elucidate aspects that have already been widely demonstrated and those who need more evidence. DEVELOPMENT: The post-stroke depression is both frequent in patients with established stroke and minor stroke or TIA. Although there are discrepancies in the definition used, in up to one out of three patients will develop this complication. We have identified risk factors of post-stroke depression with a broad scientific background (female, history of depression or other psychiatric disorders, stroke severity, functional impairment) and other without it (quality of life, cognitive impairment and neuroimaging biomarkers). The main methodological limitations found are: confusion between post-stroke depression and depressive symptoms; variability in rating scales used; and temporal variability in the time of the evaluation of mood. To date very few studies focused on minor stroke or TIA. CONCLUSIONS: Further studies are required with improved design in order to help establish the risk of post-stroke depression at different times after the stroke, minor stroke or TIA and the importance of all the factors described above.


TITLE: Actualizacion de la depresion postictus: nuevos retos en pacientes con ictus minor o ataque isquemico transitorio.Introduccion. El ictus es una de las principales causas de discapacidad en la poblacion adulta. El desarrollo de sintomas depresivos es la complicacion afectiva mas frecuente. Hasta ahora, en la mayoria de los estudios sobre depresion postictus se ha excluido a los pacientes que han sufrido un ictus minor o un ataque isquemico transitorio (AIT), si bien es un subgrupo igualmente vulnerable a esta enfermedad. Objetivo. Revisar los estudios publicados de depresion postictus para dilucidar los aspectos que ya se han demostrado ampliamente y los que necesitan mayor evidencia. Desarrollo. La depresion postictus es frecuente tanto en los pacientes con ictus establecido como en los pacientes con ictus minor o AIT. Aunque existen discrepancias en la definicion utilizada, aproximadamente uno de cada tres pacientes desarrollara esta complicacion. Se han identificado factores de riesgo de depresion postictus con un amplio respaldo cientifico (sexo femenino, antecedentes de depresion u otros trastornos psiquiatricos, gravedad del ictus y afectacion funcional) y otros sin el (calidad de vida, deterioro cognitivo y biomarcadores de neuroimagen). Las principales limitaciones metodologicas halladas son la confusion entre depresion postictus y sintomatologia depresiva, la variabilidad en las escalas de evaluacion usadas y la variabilidad en el momento temporal de la evaluacion del estado de animo. Hasta ahora son muy pocos los estudios en el ictus minor o el AIT. Conclusiones. Se necesitan nuevos estudios con mejor diseño que ayuden a establecer el riesgo de depresion postictus a diferentes tiempos tras el ictus, el ictus minor o el AIT, y establecer la importancia de los factores descritos previamente.


Subject(s)
Depression/etiology , Ischemic Attack, Transient/complications , Stroke/complications , Humans , Quality of Life , Risk Factors
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