Background: Fatigue often occurs as long-term complication in chronically critically ill (CCI) patients after prolonged intensive care treatment. The Multidimensional Fatigue Inventory (MFI-20) has been established as valid instrument to measure fatigue in a wide range of medical illnesses. Regarding the measurement of fatigue in CCI patients, the psychometric properties of the MFI-20 have not been investigated so far. Thus, the present study examines reliability and validity of the MFI-20 in CCI patients.
Methods: A convenience sample of n = 195 patients with Critical Illness Polyneuropathy (CIP) or Myopathy (CIM) were recruited via personal contact within four weeks (t1) following the transfer from acute care ICU to post-acute ICU at a large rehabilitation hospital. N = 113 (median age 61.1 yrs., 72.6% men) patients were again contacted via telephone three (t2) and six (t3) months following the transfer to post-acute ICU. The MFI-20, the Euro-Quality of Life (EQ-5D-3 L) and the Structured Clinical Interview for the Diagnostic and Statistical Manual of mental disorders DSM-IV (SCID-I) were applied within this prospective cohort study.
Results: The internal consistency Cronbach's α was adequate for the MFI-total and all but the subscale Reduced Motivation (RM) (range: .50-.91). Item-to-total correlations (range: .22-.80) indicated item redundancy for the subscale RM. Confirmatory Factor analyses (CFAs) revealed poor model fit for the original 5-factor model of the MFI-20 (t2/t3, Confirmatory Fit Index, CFI = .783/ .834; Tucker-Lewis Index, TLI = .751/ .809; Root Mean Square Error of Approximation, RMSEA = .112/ .103). Among the alternative models (1-, 2-, 3-factor models), the data best fit to a 3-factor solution summarizing the highly correlated factors General -/ Physical Fatigue/ Reduced Activity (GF/ PF/ RA) (t2/ t3, CFI = .878/ .896, TLI = .846/ .869, RMSEA = .089/ .085, 90% Confidence Interval .073-.104/ .066-.104). The MFI-total score significantly correlated with the health-related quality of life (range: -.65-(-).66) and the diagnosis of major depression (range: .27-.37).
Conclusions: In the present sample of CCI patients, a reliable and valid factor structure of the MFI-20 could not be ascertained. Especially the subscale RM should be revised. Since the factors GF, PF and RA cannot be separated from each other and the unclear factorial structure in the present sample of CCI patients, the MFI-20 is not recommended for use in this context.
Trial Registration: German Clinical Trials Registration DRKS00003386 . Registered 13 December 2011, retrospectively registered.
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http://dx.doi.org/10.1186/s12955-018-0862-6 | DOI Listing |
BMC Health Serv Res
January 2025
Institute for Health and Nursing Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Background: Cancer requires interdisciplinary intersectoral care. The Care Coordination Instrument (CCI) captures patients' perspectives on cancer care coordination. We aimed to translate, adapt, and validate the CCI for Germany (CCI German version).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Miami, Miami, FL, USA.
Background: The global ageing population is rising with each year, and with that, the percentage of individuals with Alzheimer's disease (AD) is expected to rise in parallel. Along with age, traumatic brain injury (TBI) is another risk factor for AD. TBI and AD patients demonstrate abnormal inflammatory responses, including that of the inflammasome.
View Article and Find Full Text PDFBackground: Neuropsychiatric disorders including depression, insomnia, epilepsy, schizophrenia, and attention-deficit and hyperactivity disorder (ADHD) have been associated with a neurodegenerative process and linked to increased risk for Alzheimer's Disease (AD). Because of the shared biological mechanisms of AD and neuropsychiatric disorders, we hypothesized that pharmacologic treatment for neuropsychiatric disorders could impact the risk for AD. CNS drugs that are first-line therapies for neuropsychiatric disorders (including antidepressants, sedatives, anticonvulsants, antipsychotics, and stimulants) were investigated for impact on AD incidence.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Pulmonology, Yokohama City University, Yokohama, Japan.
Community-acquired pneumonia (CAP) is associated with high mortality rates and often results in prolonged hospital stays. The potential of machine learning to enhance prediction accuracy in this context is significant, yet clinicians often lack the programming skills required for effective data mining. This study aimed to assess the effectiveness of a low-code approach for assisting clinicians with data mining for mortality and length of stay (LOS) prediction in patients with CAP.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Department of Pharmacology and Toxicology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Introduction: ACE2 and TMPRSS2 represent the major gateways for SARS-CoV-2 cell entry. The presence of functional ACE2 and TMPRSS2 genetic polymorphisms that affect gene expression may affect the risk of severe form of COVID-19 and its fatal outcome.
Material And Patients: This observational study enrolled 178 hospitalized patients diagnosed with SARS-CoV-2 infection at the University Clinical Centre of Kragujevac, Serbia.
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