A Biopsychosocial Approach to Persistent Post-COVID-19 Fatigue and Cognitive Complaints: Results of the Prospective Multicenter NeNeSCo Study. Klinkhammer, S., Duits, A. A., Deckers, K., Horn, J., Slooter, A. J. C., Verwijk, E., van Heugten, C. M., Visser-Meily, J. M. A., & NeNe, S. S. G. Arch Phys Med Rehabil, 2024. Klinkhammer, Simona Duits, Annelien A Deckers, Kay Horn, Janneke Slooter, Arjen J C Verwijk, Esmee van Heugten, Caroline M Visser-Meily, Johanna M A eng 2024/01/17 Arch Phys Med Rehabil. 2024 Jan 14:S0003-9993(24)00030-3. doi: 10.1016/j.apmr.2023.12.014.
Paper doi abstract bibtex OBJECTIVE: To evaluate whether psychological and social factors complement biomedical factors in understanding post-COVID-19 fatigue and cognitive complaints. Additionally, to incorporate objective (neuro-cognitive) and subjective (patient-reported) variables in identifying factors related to post-COVID-19 fatigue and cognitive complaints. DESIGN: Prospective, multicenter cohort study. SETTING: Six Dutch hospitals. PARTICIPANTS: 205 initially hospitalized (March-June 2020), confirmed patients with SARS-CoV-2, aged >/=18 years, physically able to visit the hospital, without prior cognitive deficit, magnetic resonance imaging (MRI) contraindication, or severe neurologic damage post-hospital discharge (N=205). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Nine months post-hospital discharge, a 3T MRI scan and cognitive testing were performed and patients completed questionnaires. Medical data were retrieved from medical dossiers. Hierarchical regression analyses were performed on fatigue severity (Fatigue Severity Scale; FSS) and cognitive complaints (Cognitive Consequences after Intensive Care Admission; CLC-IC; dichotomized into CLC-high/low). Variable blocks: (1) Demographic and premorbid factors (sex, age, education, comorbidities), (2) Illness severity (ICU/general ward, PROMIS physical functioning [PROMIS-PF]), (3) Neuro-cognitive factors (self-reported neurological symptoms, MRI abnormalities, cognitive performance), (4) Psychological and social factors (Hospital Anxiety and Depression Scale [HADS], Utrecht Coping List, Social Support List), and (5) Fatigue or cognitive complaints. RESULTS: The final models explained 60% (FSS) and 48% (CLC-IC) variance, with most blocks (except neuro-cognitive factors for FSS) significantly contributing. Psychological and social factors accounted for 5% (FSS) and 11% (CLC-IC) unique variance. Higher FSS scores were associated with younger age (P=.01), lower PROMIS-PF (P<.001), higher HADS-Depression (P=.03), and CLC-high (P=.04). Greater odds of CLC-high were observed in individuals perceiving more social support (OR=1.07, P<.05). CONCLUSIONS: Results show that psychological and social factors add to biomedical factors in explaining persistent post-COVID-19 fatigue and cognitive complaints. Objective neuro-cognitive factors were not associated with symptoms. Findings highlight the importance of multidomain treatment, including psychosocial care, which may not target biologically-rooted symptoms directly but may reduce associated distress.
@article{RN353,
author = {Klinkhammer, S. and Duits, A. A. and Deckers, K. and Horn, J. and Slooter, A. J. C. and Verwijk, E. and van Heugten, C. M. and Visser-Meily, J. M. A. and NeNe, SCo Study Group},
title = {A Biopsychosocial Approach to Persistent Post-COVID-19 Fatigue and Cognitive Complaints: Results of the Prospective Multicenter NeNeSCo Study},
journal = {Arch Phys Med Rehabil},
note = {Klinkhammer, Simona
Duits, Annelien A
Deckers, Kay
Horn, Janneke
Slooter, Arjen J C
Verwijk, Esmee
van Heugten, Caroline M
Visser-Meily, Johanna M A
eng
2024/01/17
Arch Phys Med Rehabil. 2024 Jan 14:S0003-9993(24)00030-3. doi: 10.1016/j.apmr.2023.12.014.},
abstract = {OBJECTIVE: To evaluate whether psychological and social factors complement biomedical factors in understanding post-COVID-19 fatigue and cognitive complaints. Additionally, to incorporate objective (neuro-cognitive) and subjective (patient-reported) variables in identifying factors related to post-COVID-19 fatigue and cognitive complaints. DESIGN: Prospective, multicenter cohort study. SETTING: Six Dutch hospitals. PARTICIPANTS: 205 initially hospitalized (March-June 2020), confirmed patients with SARS-CoV-2, aged >/=18 years, physically able to visit the hospital, without prior cognitive deficit, magnetic resonance imaging (MRI) contraindication, or severe neurologic damage post-hospital discharge (N=205). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Nine months post-hospital discharge, a 3T MRI scan and cognitive testing were performed and patients completed questionnaires. Medical data were retrieved from medical dossiers. Hierarchical regression analyses were performed on fatigue severity (Fatigue Severity Scale; FSS) and cognitive complaints (Cognitive Consequences after Intensive Care Admission; CLC-IC; dichotomized into CLC-high/low). Variable blocks: (1) Demographic and premorbid factors (sex, age, education, comorbidities), (2) Illness severity (ICU/general ward, PROMIS physical functioning [PROMIS-PF]), (3) Neuro-cognitive factors (self-reported neurological symptoms, MRI abnormalities, cognitive performance), (4) Psychological and social factors (Hospital Anxiety and Depression Scale [HADS], Utrecht Coping List, Social Support List), and (5) Fatigue or cognitive complaints. RESULTS: The final models explained 60% (FSS) and 48% (CLC-IC) variance, with most blocks (except neuro-cognitive factors for FSS) significantly contributing. Psychological and social factors accounted for 5% (FSS) and 11% (CLC-IC) unique variance. Higher FSS scores were associated with younger age (P=.01), lower PROMIS-PF (P<.001), higher HADS-Depression (P=.03), and CLC-high (P=.04). Greater odds of CLC-high were observed in individuals perceiving more social support (OR=1.07, P<.05). CONCLUSIONS: Results show that psychological and social factors add to biomedical factors in explaining persistent post-COVID-19 fatigue and cognitive complaints. Objective neuro-cognitive factors were not associated with symptoms. Findings highlight the importance of multidomain treatment, including psychosocial care, which may not target biologically-rooted symptoms directly but may reduce associated distress.},
keywords = {Cognitive complaints
Fatigue
Infection
Long COVID
Post-COVID
Rehabilitation
SARS-CoV-2},
ISSN = {1532-821X (Electronic)
0003-9993 (Linking)},
DOI = {10.1016/j.apmr.2023.12.014},
url = {https://www.ncbi.nlm.nih.gov/pubmed/38228250},
year = {2024},
type = {Journal Article}
}
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G."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Klinkhammer"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Duits"],"firstnames":["A.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Deckers"],"firstnames":["K."],"suffixes":[]},{"propositions":[],"lastnames":["Horn"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Slooter"],"firstnames":["A.","J.","C."],"suffixes":[]},{"propositions":[],"lastnames":["Verwijk"],"firstnames":["E."],"suffixes":[]},{"propositions":["van"],"lastnames":["Heugten"],"firstnames":["C.","M."],"suffixes":[]},{"propositions":[],"lastnames":["Visser-Meily"],"firstnames":["J.","M.","A."],"suffixes":[]},{"propositions":[],"lastnames":["NeNe"],"firstnames":["SCo","Study","Group"],"suffixes":[]}],"title":"A Biopsychosocial Approach to Persistent Post-COVID-19 Fatigue and Cognitive Complaints: Results of the Prospective Multicenter NeNeSCo Study","journal":"Arch Phys Med Rehabil","note":"Klinkhammer, Simona Duits, Annelien A Deckers, Kay Horn, Janneke Slooter, Arjen J C Verwijk, Esmee van Heugten, Caroline M Visser-Meily, Johanna M A eng 2024/01/17 Arch Phys Med Rehabil. 2024 Jan 14:S0003-9993(24)00030-3. doi: 10.1016/j.apmr.2023.12.014.","abstract":"OBJECTIVE: To evaluate whether psychological and social factors complement biomedical factors in understanding post-COVID-19 fatigue and cognitive complaints. Additionally, to incorporate objective (neuro-cognitive) and subjective (patient-reported) variables in identifying factors related to post-COVID-19 fatigue and cognitive complaints. DESIGN: Prospective, multicenter cohort study. SETTING: Six Dutch hospitals. PARTICIPANTS: 205 initially hospitalized (March-June 2020), confirmed patients with SARS-CoV-2, aged >/=18 years, physically able to visit the hospital, without prior cognitive deficit, magnetic resonance imaging (MRI) contraindication, or severe neurologic damage post-hospital discharge (N=205). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Nine months post-hospital discharge, a 3T MRI scan and cognitive testing were performed and patients completed questionnaires. Medical data were retrieved from medical dossiers. Hierarchical regression analyses were performed on fatigue severity (Fatigue Severity Scale; FSS) and cognitive complaints (Cognitive Consequences after Intensive Care Admission; CLC-IC; dichotomized into CLC-high/low). Variable blocks: (1) Demographic and premorbid factors (sex, age, education, comorbidities), (2) Illness severity (ICU/general ward, PROMIS physical functioning [PROMIS-PF]), (3) Neuro-cognitive factors (self-reported neurological symptoms, MRI abnormalities, cognitive performance), (4) Psychological and social factors (Hospital Anxiety and Depression Scale [HADS], Utrecht Coping List, Social Support List), and (5) Fatigue or cognitive complaints. RESULTS: The final models explained 60% (FSS) and 48% (CLC-IC) variance, with most blocks (except neuro-cognitive factors for FSS) significantly contributing. Psychological and social factors accounted for 5% (FSS) and 11% (CLC-IC) unique variance. Higher FSS scores were associated with younger age (P=.01), lower PROMIS-PF (P<.001), higher HADS-Depression (P=.03), and CLC-high (P=.04). Greater odds of CLC-high were observed in individuals perceiving more social support (OR=1.07, P<.05). CONCLUSIONS: Results show that psychological and social factors add to biomedical factors in explaining persistent post-COVID-19 fatigue and cognitive complaints. Objective neuro-cognitive factors were not associated with symptoms. Findings highlight the importance of multidomain treatment, including psychosocial care, which may not target biologically-rooted symptoms directly but may reduce associated distress.","keywords":"Cognitive complaints Fatigue Infection Long COVID Post-COVID Rehabilitation SARS-CoV-2","issn":"1532-821X (Electronic) 0003-9993 (Linking)","doi":"10.1016/j.apmr.2023.12.014","url":"https://www.ncbi.nlm.nih.gov/pubmed/38228250","year":"2024","bibtex":"@article{RN353,\n author = {Klinkhammer, S. and Duits, A. A. and Deckers, K. and Horn, J. and Slooter, A. J. C. and Verwijk, E. and van Heugten, C. M. and Visser-Meily, J. M. A. and NeNe, SCo Study Group},\n title = {A Biopsychosocial Approach to Persistent Post-COVID-19 Fatigue and Cognitive Complaints: Results of the Prospective Multicenter NeNeSCo Study},\n journal = {Arch Phys Med Rehabil},\n note = {Klinkhammer, Simona\nDuits, Annelien A\nDeckers, Kay\nHorn, Janneke\nSlooter, Arjen J C\nVerwijk, Esmee\nvan Heugten, Caroline M\nVisser-Meily, Johanna M A\neng\n2024/01/17\nArch Phys Med Rehabil. 2024 Jan 14:S0003-9993(24)00030-3. doi: 10.1016/j.apmr.2023.12.014.},\n abstract = {OBJECTIVE: To evaluate whether psychological and social factors complement biomedical factors in understanding post-COVID-19 fatigue and cognitive complaints. Additionally, to incorporate objective (neuro-cognitive) and subjective (patient-reported) variables in identifying factors related to post-COVID-19 fatigue and cognitive complaints. DESIGN: Prospective, multicenter cohort study. SETTING: Six Dutch hospitals. PARTICIPANTS: 205 initially hospitalized (March-June 2020), confirmed patients with SARS-CoV-2, aged >/=18 years, physically able to visit the hospital, without prior cognitive deficit, magnetic resonance imaging (MRI) contraindication, or severe neurologic damage post-hospital discharge (N=205). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Nine months post-hospital discharge, a 3T MRI scan and cognitive testing were performed and patients completed questionnaires. Medical data were retrieved from medical dossiers. Hierarchical regression analyses were performed on fatigue severity (Fatigue Severity Scale; FSS) and cognitive complaints (Cognitive Consequences after Intensive Care Admission; CLC-IC; dichotomized into CLC-high/low). Variable blocks: (1) Demographic and premorbid factors (sex, age, education, comorbidities), (2) Illness severity (ICU/general ward, PROMIS physical functioning [PROMIS-PF]), (3) Neuro-cognitive factors (self-reported neurological symptoms, MRI abnormalities, cognitive performance), (4) Psychological and social factors (Hospital Anxiety and Depression Scale [HADS], Utrecht Coping List, Social Support List), and (5) Fatigue or cognitive complaints. RESULTS: The final models explained 60% (FSS) and 48% (CLC-IC) variance, with most blocks (except neuro-cognitive factors for FSS) significantly contributing. Psychological and social factors accounted for 5% (FSS) and 11% (CLC-IC) unique variance. Higher FSS scores were associated with younger age (P=.01), lower PROMIS-PF (P<.001), higher HADS-Depression (P=.03), and CLC-high (P=.04). Greater odds of CLC-high were observed in individuals perceiving more social support (OR=1.07, P<.05). 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