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1.
Clin Exp Rheumatol ; 40(6): 1136-1142, 2022 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-35699063

RESUMO

OBJECTIVES: Cognitive dysfunction is one of the criteria for the diagnosis of fibromyalgia (FM) and is typically based on self-report questionnaires such as the Symptom Severity Scale. However, recent studies have shown that there is no correlation between these subjective measures of cognitive dysfunction and more lengthy objective measures of cognitive functioning. This points to the need for a briefer valid evaluation tool for cognitive dysfunction in FM. The aim of this study is to examine whether the Montreal Cognitive Assessment (MoCA) test is a valid measure of cognitive assessment in FM patients, by comparing it to a comprehensive computerised cognitive assessment battery. METHODS: Sixty-two FM patients (55 women, 7 men, mean age = 46.17 years, sd=12.56) were administered the MoCA and a computerised cognitive assessment battery. FM symptoms were assessed on the Fibromyalgia Impact Questionnaire (FIQ), the Widespread Pain Index (WPI), the Symptom Severity Scale (SSS), and the Beck Depression Inventory (BDI-2). Patient effort was controlled on the TOMM (Test of Memory Malingering). RESULTS: Moderate positive correlations were found between the MoCA and the computerised cognitive scores as follows: Global Cognitive Score (r=0.493**, p=0.00), Memory Index Score (r= 0.384**, p=0.002), Executive Function Index Score (r=0.461**, p=0.00), Attention Index Score (r=0.310*, p=0.016), Information Processing Speed Index Score (r=0.435**, p=0.001), and Motor Skills (r=0.406**, p=0.002). CONCLUSIONS: The MoCA is an acceptable cognitive screening test for the cognitive evaluation of FM patients.


Assuntos
Disfunção Cognitiva , Fibromialgia , Disfunção Cognitiva/diagnóstico , Disfunção Cognitiva/etiologia , Feminino , Fibromialgia/complicações , Fibromialgia/diagnóstico , Humanos , Masculino , Testes de Estado Mental e Demência , Pessoa de Meia-Idade , Testes Neuropsicológicos , Inquéritos e Questionários
2.
Clin Infect Dis ; 75(10): 1688-1697, 2022 11 14.
Artigo em Inglês | MEDLINE | ID: mdl-35403679

RESUMO

BACKGROUND: Fatigue is the most prevalent and debilitating long-COVID (coronavirus disease) symptom; however, risk factors and pathophysiology of this condition remain unknown. We assessed risk factors for long-COVID fatigue and explored its possible pathophysiology. METHODS: This was a nested case-control study in a COVID recovery clinic. Individuals with (cases) and without (controls) significant fatigue were included. We performed a multidimensional assessment evaluating various parameters, including pulmonary function tests and cardiopulmonary exercise testing, and implemented multivariable logistic regression to assess risk factors for significant long-COVID fatigue. RESULTS: A total of 141 individuals were included. The mean age was 47 (SD: 13) years; 115 (82%) were recovering from mild coronavirus disease 2019 (COVID-19). Mean time for evaluation was 8 months following COVID-19. Sixty-six (47%) individuals were classified with significant long-COVID fatigue. They had a significantly higher number of children, lower proportion of hypothyroidism, higher proportion of sore throat during acute illness, higher proportions of long-COVID symptoms, and of physical limitation in daily activities. Individuals with long-COVID fatigue also had poorer sleep quality and higher degree of depression. They had significantly lower heart rate [153.52 (22.64) vs 163.52 (18.53); P = .038] and oxygen consumption per kilogram [27.69 (7.52) vs 30.71 (7.52); P = .036] at peak exercise. The 2 independent risk factors for fatigue identified in multivariable analysis were peak exercise heart rate (OR: .79 per 10 beats/minute; 95% CI: .65-.96; P = .019) and long-COVID memory impairment (OR: 3.76; 95% CI: 1.57-9.01; P = .003). CONCLUSIONS: Long-COVID fatigue may be related to autonomic dysfunction, impaired cognition, and decreased mood. This may suggest a limbic-vagal pathophysiology. CLINICAL TRIALS REGISTRATION: NCT04851561.


Assuntos
COVID-19 , Fadiga , Humanos , Pessoa de Meia-Idade , Estudos de Casos e Controles , COVID-19/complicações , Fadiga/epidemiologia , Fatores de Risco , Adulto , Síndrome de COVID-19 Pós-Aguda
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