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Rofail D, Somersan-Karakaya S, Choi JY, Przydzial K, Zhao Y, Hussein M, Norton TD, Podolanczuk AJ, Mylonakis E, Geba GP. Thematic analysis to explore patients' experiences with long COVID-19: a conceptual model of symptoms and impacts on daily lives. BMJ Open 2024; 14:e076992. [PMID: 38233059 PMCID: PMC10806796 DOI: 10.1136/bmjopen-2023-076992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 12/22/2023] [Indexed: 01/19/2024] Open
Abstract
OBJECTIVES There is limited qualitative research on patients' experiences with long COVID-19, and how specific symptoms impact their daily lives. The study aimed to understand patients' lived experiences of long COVID-19 and to develop a conceptual model representing the symptoms and their impact on overall quality of life. SETTING Qualitative study consisting of a comprehensive literature review, and in-depth clinician and patient semistructured interviews. PARTICIPANTS Forty-one adult patients with long COVID-19, of whom 18 (44%) were recruited through Regeneron Pharmaceuticals's clinical trials and 23 (56%) through recruitment agencies; 85.4% were female and 73.2% were White. Five independent clinicians treating patients with long COVID-19 were interviewed. Concept saturation was also assessed. PRIMARY AND SECONDARY OUTCOMES Interview transcripts were analysed thematically to identify concepts of interest spontaneously mentioned by patients, including symptoms and their impacts on daily life, to guide the development of the conceptual model. RESULTS Findings from the literature review and clinician and patient interviews resulted in the development of a conceptual model comprising two overarching domains: symptoms (upper respiratory tract, lower respiratory tract, smell and taste, systemic, gastrointestinal, neurocognitive and other) and impacts (activities of daily living, instrumental activities of daily living, physical impacts, emotional, social/leisure activities and professional impacts). Saturation was achieved for the reported impacts. The symptoms reported were heterogenic; neurocognitive symptoms, such as numbness, ringing in ears, haziness, confusion, forgetfulness/memory problems, brain fog, concentration, difficulties finding the right word and challenges with fine motor skills, were particularly pertinent for several months. CONCLUSION The conceptual model, developed based on patient experience data of long COVID-19, highlighted numerous symptoms that impact patients' physical and mental well-being, and suggests humanistic unmet needs. Prospective real-world studies are warranted to understand the pattern of long COVID-19 experienced in larger samples over longer periods of time.
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Affiliation(s)
- Diana Rofail
- Regeneron Pharmaceuticals Inc, Tarrytown, New York, USA
| | | | | | | | - Yuming Zhao
- Regeneron Pharmaceuticals Inc, Tarrytown, New York, USA
| | | | | | | | - Eleftherios Mylonakis
- Infectious Diseases Division, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Department of Medicine, Houston Methodist Hospital, Houston, Texas, USA
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Delgado-Alonso C, Díez-Cirarda M, Pagán J, Pérez-Izquierdo C, Oliver-Mas S, Fernández-Romero L, Martínez-Petit Á, Valles-Salgado M, Gil-Moreno MJ, Yus M, Matías-Guiu J, Ayala JL, Matias-Guiu JA. Unraveling brain fog in post-COVID syndrome: Relationship between subjective cognitive complaints and cognitive function, fatigue, and neuropsychiatric symptoms. Eur J Neurol 2023. [PMID: 37797297 DOI: 10.1111/ene.16084] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 09/10/2023] [Accepted: 09/17/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND AND PURPOSE "Brain fog" is a frequent and disabling symptom that can occur after SARS-CoV-2 infection. However, its clinical characteristics and the relationships among brain fog and objective cognitive function, fatigue, and neuropsychiatric symptoms (depression, anxiety) are still unclear. In this study, we aimed to examine the characteristics of brain fog and to understand how fatigue, cognitive performance, and neuropsychiatric symptoms and the mutual relationships among these variables influence subjective cognitive complaints. METHODS A total of 170 patients with cognitive complaints in the context of post-COVID syndrome were evaluated using a comprehensive neuropsychological protocol. The FLEI scale was used to characterize subjective cognitive complaints. Correlation analysis, regression machine-learning algorithms, and mediation analysis were calculated. RESULTS Cognitive complaints were mainly attention and episodic memory symptoms, while executive functions (planning) issues were less often reported. The FLEI scale, a mental ability questionnaire, showed high correlations with a fatigue scale and moderate correlations with the Stroop test, and anxiety and depressive symptoms. Random forest algorithms showed an R2 value of 0.409 for the prediction of FLEI score, with several cognitive tests, fatigue and depression being the best variables used in the prediction. Mediation analysis showed that fatigue was the main mediator between objective and subjective cognition, while the effect of depression was indirect and mediated through fatigue. CONCLUSIONS Brain fog associated with COVID-19 is mainly characterized by attention and episodic memory, and fatigue, which is the main mediator between objective and subjective cognition. Our findings contribute to understanding the pathophysiology of brain fog and emphasize the need to unravel the main mechanisms underlying brain fog, considering several aspects.
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Affiliation(s)
- Cristina Delgado-Alonso
- Department of Neurology, Hospital Clínico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - María Díez-Cirarda
- Department of Neurology, Hospital Clínico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Josué Pagán
- Department of Electronic Engineering, Universidad Politécnica de Madrid, Madrid, Spain
- Center for Computational Simulation, Universidad Politécnica de Madrid, Madrid, Spain
| | - Carlos Pérez-Izquierdo
- Department of Agricultural and Forestry Engineering, University Center of Plasencia, University of Extremadura, Plasencia, Spain
| | - Silvia Oliver-Mas
- Department of Neurology, Hospital Clínico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Lucía Fernández-Romero
- Department of Neurology, Hospital Clínico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Álvaro Martínez-Petit
- Department of Electronic Engineering, Universidad Politécnica de Madrid, Madrid, Spain
- Center for Computational Simulation, Universidad Politécnica de Madrid, Madrid, Spain
| | - María Valles-Salgado
- Department of Neurology, Hospital Clínico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - María José Gil-Moreno
- Department of Neurology, Hospital Clínico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Miguel Yus
- Department of Radiology, Hospital Clinico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Jorge Matías-Guiu
- Department of Neurology, Hospital Clínico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - José Luis Ayala
- Department of Automatic Architecture and Automation, Universidad Complutense, Madrid, Spain
| | - Jordi A Matias-Guiu
- Department of Neurology, Hospital Clínico San Carlos, Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
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Al-Jabr H, Hawke LD, Thompson DR, Clifton A, Shenton M, Castle DJ, Ski CF. Interventions to support mental health in people with long COVID: a scoping review. BMC Public Health 2023; 23:1186. [PMID: 37340400 DOI: 10.1186/s12889-023-16079-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/08/2023] [Indexed: 06/22/2023] Open
Abstract
INTRODUCTION Long COVID (LC) is a multisystem disease with symptoms lasting weeks or months beyond the acute COVID-19 infection. Several manifestations are reported by people with LC, including effects on mental health, with varying degrees of psychological distress and disturbances to daily activities. Research conducted to identify effective interventions to support mental health among people with LC has been limited by the breadth and scope of studies. AIM This review aims to identify interventions being tested to support mental health of people with LC. METHODS A scoping review was conducted by searching five databases for articles published between January 2020 and early October 2022 to identify research evaluating interventions focused on improving mental health symptoms associated with LC. Results from all sources were checked for eligibility by two reviewers, and agreements were resolved by discussion. Gray literature and reference list of included studies and relevant reviews were scrutinised to identify any additional studies. Data extraction was conducted by one reviewer and checked by another reviewer for accuracy. RESULTS Of the 940 studies identified, 17 were included, the design of which varied but included mainly case studies (n = 6) and clinical trials (n = 5). Several interventions were described, ranging from single interventions (e.g., pharmacologic) to more holistic, comprehensive suites of services (pharmacologic and non-pharmacologic). Several mental health outcomes were measured, mostly anxiety and depression. All included studies were reported to be associated with improvements in participants' mental health outcomes. CONCLUSION This scoping review identified studies reporting on a variety of interventions to support mental health among people with LC. Although positive changes were reported by all studies, some were case studies and thus their findings must be interpreted with caution. There is a need for more research to be conducted to identify the impact of interventions on mental health of people with LC.
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Affiliation(s)
- Hiyam Al-Jabr
- Integrated Care Academy, University of Suffolk, Ipswich, UK
| | - Lisa D Hawke
- Centre for Addiction and Mental Health, Toronto, Canada
| | - David R Thompson
- School of Nursing and Midwifery, Queen's University Belfast, Belfast, UK.
| | - Andrew Clifton
- Integrated Care Academy, University of Suffolk, Ipswich, UK
| | - Mark Shenton
- Integrated Care Academy, University of Suffolk, Ipswich, UK
| | - David J Castle
- Centre for Addiction and Mental Health, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Chantal F Ski
- School of Nursing and Midwifery, Queen's University Belfast, Belfast, UK
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Manfredini A, Pisano F, Incoccia C, Marangolo P. The Impact of COVID-19 Lockdown Measures and COVID-19 Infection on Cognitive Functions: A Review in Healthy and Neurological Populations. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4889. [PMID: 36981800 PMCID: PMC10049620 DOI: 10.3390/ijerph20064889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/02/2023] [Accepted: 03/09/2023] [Indexed: 06/18/2023]
Abstract
The COVID-19 pandemic severely affected people's mental health all over the world. This review aims to present a comprehensive overview of the literature related to the effects of COVID-19 lockdown measures and COVID-19 infection on cognitive functioning in both healthy people and people with neurological conditions by considering only standardized tests. We performed a narrative review of the literature via two databases, PUBMED and SCOPUS, from December 2019 to December 2022. In total, 62 out of 1356 articles were selected and organized into three time periods: short-term (1-4 months), medium-term (5-8 months), and long-term (9-12 months), according to the time in which the tests were performed. Regardless of the time period, most studies showed a general worsening in cognitive performance in people with neurological conditions due to COVID-19 lockdown measures and in healthy individuals recovered from COVID-19 infection. Our review is the first to highlight the importance of considering standardized tests as reliable measures to quantify the presence of cognitive deficits due to COVID-19. Indeed, we believe that they provide an objective measure of the cognitive difficulties encountered in the different populations, while allowing clinicians to plan rehabilitation treatments that can be of great help to many patients who still, nowadays, experience post-COVID-19 symptoms.
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Affiliation(s)
- Alessio Manfredini
- Department of Humanities Studies, University Federico II, 80133 Naples, Italy
| | - Francesca Pisano
- Department of Humanities Studies, University Federico II, 80133 Naples, Italy
| | | | - Paola Marangolo
- Department of Humanities Studies, University Federico II, 80133 Naples, Italy
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