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Ersson A, Reuterborg HÖ, Divanoglou A, Levi R, Orwelius L. Health-related quality of life, physical and mental capacity at one year follow up of COVID-19 ICU patients: A prospective cohort study. J Patient Rep Outcomes 2025; 9:52. [PMID: 40366496 PMCID: PMC12078742 DOI: 10.1186/s41687-025-00883-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 04/17/2025] [Indexed: 05/15/2025] Open
Abstract
PURPOSE In 2020 as COVID-19 rapidly overwhelmed ICU resources, patient care capacity was reduced thus increasing the risk of development of post intensive care syndrome (PICS). Therefore, an increased incidence of survivors with neurocognitive and neuromuscular impairment could be anticipated. This study aimed to describe residual reductions in health-related quality of life (HRQoL) and risk factors for PICS as they pertain to outcomes one year after intensive care. PATIENTS AND METHODS Between 01-03-2020 and 31-08-2020, all adult COVID-19 ICU patients discharged alive in two Swedish ICU were included. At 2-, 6- and, 12-months post discharge follow up was conducted. Primary outcome parameters were HRQoL up to 12-months after ICU discharge. Secondary outcome parameters were clinimetric results for physical, mental, and cognitive functions at 6 months after intensive care stay. RESULTS Data from 41 patients were analyzed. Fatigue, anxiety, respiratory impairments, and experienced decline in physical stamina were the dominating findings at 6 months. Criteria for PICS were fulfilled in 93% of the study population and a 60% reduction in overall HRQoL, compared with a normal age adjusted population, was seen at follow up. A slight improvement was seen at 6 months whereafter no further significant improvement in HRQoL was detected. Fatigue was the most dominant complaint, expressed by almost all patients at follow up. CONCLUSION Long term outcome reported in this study showed longstanding impairment in HRQoL, mostly related to reduced well-being and perceived limitations in physical ability. Overall, our findings show similarities with previously reported recovery patterns after intensive care. However, the COVID-19 cohort displayed a more profound reduction in HRQoL paralleled with severe fatigue and respiratory limitations. This signals the need for a deeper understanding of pathophysiological mechanisms of COVID-19 induced residual impairments and more precise instruments to tailor an individually designed aftercare.
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Affiliation(s)
- Anders Ersson
- Department of Anesthesia and Intensive Care, Nyköping Hospital, Nyköping, Sweden.
- Faculty of Medicine, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
| | | | - Anestis Divanoglou
- Department of Rehabilitation Medicine and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Richard Levi
- Department of Rehabilitation Medicine and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Lotti Orwelius
- Faculty of Medicine, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Department of Anesthesia and Intensive Care, Linköping University Hospital, Linköping, Sweden
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2
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Brinkman N, Teunis T, Choi S, Ring D, Brode WM. Factors associated with the presence and intensity of ongoing symptoms in Long COVID. PLoS One 2025; 20:e0319874. [PMID: 40267966 PMCID: PMC12017833 DOI: 10.1371/journal.pone.0319874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Accepted: 02/10/2025] [Indexed: 04/25/2025] Open
Abstract
OBJECTIVE Identification of modifiable factors associated with symptom intensity among people seeking care for Post-Acute Sequelae of SARS-CoV-2 infection (PASC) could help guide the development of comprehensive, whole-person care pathways to alleviate symptoms irrespective of potential underlying pathophysiologies. We aimed to better define the key contributors to PASC, and sought the factors associated with PASC symptom presence and intensity. METHODS In this cross-sectional study, 249 patients presenting for PASC care at a dedicated Post-COVID-19 clinic completed a standardized screening assessment prior to initial visit and evaluation by a general internist or nurse practitioner. We measured 46 symptoms based on the WHO's Global COVID-19 Clinical Platform Case Report Form for Post COVID Condition and performed a factor analysis and item response theory based 2-parameter logistic model to develop a population-based t-score to measure PASC symptom presence and intensity (PASC-SPI). A multivariable linear regression analysis was used to assess factors associated with PASC-SPI, accounting for demographics, comorbidities, COVID-19 infection duration and severity, and mental health. RESULTS Greater PASC-SPI was associated with greater symptoms of anxiety, a longer duration of COVID-19 infection, and hypercholesterolemia. Lower PASC-SPI was associated with older age, self-reported 1-3 units of alcohol per week, and self-reported clinician confirmation of COVID-19 diagnosis. Symptoms of anxiety accounted for a considerably higher proportion of variation in PASC-SPI than other variables. CONCLUSION Symptoms of anxiety were the strongest correlate of PASC-SPI, highlighting it as both a potential neuroinflammatory marker of PASC and a modifiable component of the illness. This emphasizes the need for comprehensive, whole person treatment strategies that integrate evidence-based interventions to address the multifaceted nature of PASC.
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Affiliation(s)
- Niels Brinkman
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin,
| | - Teun Teunis
- Department of Orthopedic Surgery & Department of Plastic and Reconstructive Surgery, The University of Pittsburgh,
| | - Seung Choi
- The Center for Applied Psychometric Research, Educational Psychology Department, The University of Texas at Austin,
| | - David Ring
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin,
| | - W. Michael Brode
- Department of Internal Medicine & Department of Population Health, Dell Medical School, The University of Texas at Austin
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Masserini F, Pomati S, Cucumo V, Nicotra A, Maestri G, Cerioli M, Giacovelli L, Scarpa C, Larini L, Cirnigliaro G, dell'Osso B, Pantoni L. Assessment of cognitive and psychiatric disturbances in people with post-COVID-19 condition: a cross-sectional observational study. CNS Spectr 2024; 29:640-651. [PMID: 39582177 DOI: 10.1017/s1092852924002153] [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] [Indexed: 11/26/2024]
Abstract
OBJECTIVE Cognitive and psychiatric symptoms have been increasingly reported after severe acute respiratory syndrome coronavirus 2 infection, developing soon after infection and possibly persisting for several months. We aimed to study this syndrome and start implementing strategies for its assessment. METHODS Consecutive patients, referred by the infectious disease specialist because of cognitive complaints after COVID-19, were neurologically evaluated. Neurological evaluation included a cognitive screening test (Montreal Cognitive Assessment, MoCA). Moreover, patients were invited to fill out a general symptom questionnaire and a self-administered multidimensional assessment of psychiatric symptoms, followed by a full psychiatric assessment if scores were above validated cutoffs. RESULTS Of 144 referred patients, 101 (mean age 55.2±13.1, 63.4% females) completed the cognitive screening and the self-administered psychiatric questionnaire. Acute infection severity was low for most patients and the most common persisting symptoms were fatigue (92%), sleep problems (69.5%), and headache (52.4%). MoCA outlined cognitive deficits in ≥1 cognitive domain in 34% of patients, mainly in memory and attention. About 60% of patients presented depressive, anxiety, or stress-related symptoms. Psychiatric scale scores significantly correlated with overall symptom burden and MoCA score. No significant correlation was found between MoCA scores and overall symptom burden. CONCLUSION We hypothesize that persistent cognitive complaints after COVID-19 might reflect a concomitant or reactive psychopathological condition, possibly coupled with an infection-related impact on cognitive functions. The application of a combined neurological and psychiatric assessment seems crucial to appraise the nature of post-COVID-19 condition.
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Affiliation(s)
- Federico Masserini
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Simone Pomati
- Center for the Diagnosis and Treatment of Cognitive Disorders, Neurology Unit, Ospedale Luigi Sacco, Milan, Italy
| | - Valentina Cucumo
- Center for the Diagnosis and Treatment of Cognitive Disorders, Neurology Unit, Ospedale Luigi Sacco, Milan, Italy
| | - Alessia Nicotra
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Giorgia Maestri
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Matteo Cerioli
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Luca Giacovelli
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Carolina Scarpa
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Luca Larini
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Giovanna Cirnigliaro
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Bernardo dell'Osso
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
- Department of Psychiatry and Behavioral Sciences, Bipolar Disorders Clinic, Stanford Medical School, Stanford University, Stanford, CA, USA
- CRC "Aldo Ravelli" for Neurotechnology & Experimental Brain Therapeutics, University of Milan, Milan, Italy
| | - Leonardo Pantoni
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
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Szewczyk W, Fitzpatrick AL, Fossou H, Gentile NL, Sotoodehnia N, Vora SB, West TE, Bertolli J, Cope JR, Lin JMS, Unger ER, Vu QM. Long COVID and recovery from Long COVID: quality of life impairments and subjective cognitive decline at a median of 2 years after initial infection. BMC Infect Dis 2024; 24:1241. [PMID: 39497076 PMCID: PMC11536968 DOI: 10.1186/s12879-024-10158-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 10/30/2024] [Indexed: 11/06/2024] Open
Abstract
BACKGROUND Recovery from SARS CoV-2 infection is expected within 3 months. Long COVID occurs after SARS-CoV-2 when symptoms are present for more than 3 months that are continuous, relapsing and remitting, or progressive. Better understanding of Long COVID illness trajectories could strengthen patient care and support. METHODS We characterized functional impairments, quality of life (QoL), and cognition among patients who recovered from SARS-CoV-2 infection within 3 months (without Long COVID), after 3 months (Recovered Long COVID), or remained symptomatic (Long COVID). Among 7305 patients identified with previous SARS-CoV-2 infection between March 2020 and December 2021, confirmed in the medical record with laboratory test or physician diagnosis, 435 (6%) completed a single self-administered survey between March 2022 and September 2022. Multi-domain QoL and cognitive concerns were evaluated using PROMIS-29 and the Cognitive Change Index-12. RESULTS Nearly half the participants (47.7%) were surveyed more than 2 years from initial infection (median = 23.3 months; IQR = 18.6, 26.7) and 86.7% were surveyed more than 1 year from infection. A significantly greater proportion of the Long COVID (n = 215) group, (Current and Recovered combined), had moderate-to-severe impairment in all health domains assessed compared to those Without Long COVID (n = 220; all p < 0.05). The Recovered Long COVID group (n = 34) had significantly lower prevalence of fatigue, pain, depression, and physical and social function impairment compared to those with Current Long COVID (n = 181; all p < 0.05). However, compared to patients Without Long COVID, the Recovered Long COVID group had greater prevalences of fatigue, pain (p ≤ 0.06) and subjective cognitive decline (61.8% vs 29.1%; p < 0.01). Multivariate relative risk (RR) regression indicated Long COVID risk was greater for older age groups (RR range 1.46-1.52; all p ≤ 0.05), those without a bachelor's degree (RR = 1.33; 95% CI = 1.03-1.71; p = 0.03), and those with 3 or more comorbidities prior to SARS-CoV-2 infection (RR = 1.45; 95% CI = 1.11-1.90; p < 0.01). CONCLUSIONS Long COVID is associated with long-term subjective cognitive decline and diminished quality of life. Clinically significant cognitive complaints, fatigue, and pain were present even in those who reported they had recovered from Long COVID. These findings have implications for the sustainability of participation in work, education, and social activities.
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Affiliation(s)
- Warren Szewczyk
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
| | - Annette L Fitzpatrick
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Herve Fossou
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Nicole L Gentile
- Department of Family Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Nona Sotoodehnia
- Department of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Surabhi B Vora
- Division of Infectious Diseases, Department of Pediatrics, Seattle Children's Hospital, Seattle, WA, USA
| | - T Eoin West
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jeanne Bertolli
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jennifer R Cope
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jin-Mann S Lin
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Quan M Vu
- Centers for Disease Control and Prevention, Atlanta, GA, USA
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Fjone KS, Stubberud J, Buanes EA, Hagen M, Laake JH, Hofsø K. Objective and subjective cognitive status after intensive care unit treatment for COVID-19. Brain Behav Immun Health 2024; 38:100786. [PMID: 38770194 PMCID: PMC11103414 DOI: 10.1016/j.bbih.2024.100786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/13/2024] [Accepted: 05/02/2024] [Indexed: 05/22/2024] Open
Abstract
Purpose Intensive care unit (ICU) survivors can experience wide-ranging and long-lasting symptoms after hospital discharge. Cognitive impairment has received increased attention in relation to the COVID-19 pandemic and can affect patients' long-term quality of life. This study aimed to investigate the prevalence of cognitive impairment using an objective neurocognitive test 6 and 12 months following ICU admission and possible predictive factors for scoring below the defined cut-off. We also explored the prevalence of subjective cognitive complaints at 12 months, including the associated factors. Methods This was a prospective observational study of a national cohort of COVID-19 ICU survivors during the three first pandemic waves in Norway. Data was collected by the Norwegian Intensive Care and Pandemic Registry and the study group. Results At the six-month follow-up, 23.1% (95% CI [18.2─28.5]) of the 273 respondents scored below the cut-off on the Mini-MoCA, indicating mild cognitive impairment. At the 12-month follow-up, the prevalence declined to 11.1% (95% CI [7.5─15.6]) in 253 respondents. Older age (OR 1.06, 95% CI [1.02─1.12]) and depression (OR 1.25, 95% CI [1.07─1.55]) were associated with cognitive impairment at six months. At 12 months, almost half of the patients reported subjective cognitive complaints. Symptoms of mental health problems and fatigue were associated with subjective cognitive complaints in our exploratory analyses. Conclusion Cognitive impairment declined significantly from 6 to 12 months in this cohort of COVID-19 ICU patients, while subjective cognitive complaints remained high at 12 months, perhaps attributed to a high total symptom burden.
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Affiliation(s)
- Kristina Struksnes Fjone
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
- Department of Public Health, Oslo Metropolitan University, Oslo, Norway
- Section for Physiotherapy, Department of Clinical Services, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
| | - Jan Stubberud
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Research, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Eirik Alnes Buanes
- Norwegian Intensive Care and Pandemic Registry, Haukeland University Hospital, Bergen, Norway
| | - Milada Hagen
- Department of Public Health, Oslo Metropolitan University, Oslo, Norway
| | - Jon Henrik Laake
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
- Department of Anaesthesia and Intensive Care Medicine, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Kristin Hofsø
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
- Department of Postoperative and Intensive Care Nursing, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
- Lovisenberg Diaconal University College, Oslo, Norway
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Zhao Y, Liang Q, Jiang Z, Mei H, Zeng N, Su S, Wu S, Ge Y, Li P, Lin X, Yuan K, Shi L, Yan W, Liu X, Sun J, Liu W, van Wingen G, Gao Y, Tan Y, Hong Y, Lu Y, Wu P, Zhang X, Wang Y, Shi J, Wang Y, Lu L, Li X, Bao Y. Brain abnormalities in survivors of COVID-19 after 2-year recovery: a functional MRI study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 47:101086. [PMID: 38774424 PMCID: PMC11107230 DOI: 10.1016/j.lanwpc.2024.101086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 04/03/2024] [Accepted: 04/22/2024] [Indexed: 05/24/2024]
Abstract
Background A variety of symptoms, particularly cognitive, psychiatric and neurological symptoms, may persist for a long time among individuals recovering from COVID-19. However, the underlying mechanism of these brain abnormalities remains unclear. This study aimed to investigate the long-term neuroimaging effects of COVID-19 infection on brain functional activities using resting-state functional magnetic resonance imaging (rs-fMRI). Methods Fifty-two survivors 27 months after infection (mild-moderate group: 25 participants, severe-critical: 27 participants), from our previous community participants, along with 35 healthy controls, were recruited to undergo fMRI scans and comprehensive cognitive function measurements. Participants were evaluated by subjective assessment of Cognitive Failures Questionnaire-14 (CFQ-14) and Fatigue Scale-14 (FS-14), and objective assessment of Montreal Cognitive Assessment (MoCA), N-back, and Simple Reaction Time (SRT). Each had rs-fMRI at 3T. Measures such as the amplitude of low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuations (fALFF), and regional homogeneity (ReHo) were calculated. Findings Compared with healthy controls, survivors of mild-moderate acute symptoms group and severe-critical group had a significantly higher score of cognitive complains involving cognitive failure and mental fatigue. However, there was no difference of cognitive complaints between two groups of COVID-19 survivors. The performance of three groups was similar on the score of MoCA, N-back and SRT. The rs-fMRI results showed that COVID-19 survivors exhibited significantly increased ALFF values in the left putamen (PUT.L), right inferior temporal gyrus (ITG.R) and right pallidum (PAL.R), while decreased ALFF values were observed in the right superior parietal gyrus (SPG.R) and left superior temporal gyrus (STG.L). Additionally, decreased ReHo values in the right precentral gyrus (PreCG.R), left postcentral gyrus (PoCG.L), left calcarine fissure and surrounding cortex (CAL.L) and left superior temporal gyrus (STG.L). Furthermore, significant negative correlations between the ReHo values in the STG.L, and CFQ-14 and mental fatigue were found. Interpretation This long-term study suggests that individuals recovering from COVID-19 continue to experience cognitive complaints, psychiatric and neurological symptoms, and brain functional alteration. The rs-fMRI results indicated that the changes in brain function in regions such as the putamen, temporal lobe, and superior parietal gyrus may contribute to cognitive complaints in individuals with long COVID even after 2-year infection. Funding The National Programs for Brain Science and Brain-like Intelligence Technology of China, the National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality of China, and the National Key Research and Development Program of China.
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Affiliation(s)
- Yimiao Zhao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- School of Public Health, Peking University, Beijing 100191, China
| | - Qiongdan Liang
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100191, China
| | - Zhendong Jiang
- Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, Hubei Province 430063, China
| | - Huan Mei
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- School of Public Health, Peking University, Beijing 100191, China
| | - Na Zeng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- School of Public Health, Peking University, Beijing 100191, China
| | - Sizhen Su
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Shanshan Wu
- Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, Hubei Province 430063, China
| | - Yinghong Ge
- The Third Hospital of Wuhan City, Wuhan, Hubei Province 430000, China
| | - Peng Li
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Xiao Lin
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Kai Yuan
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Le Shi
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Wei Yan
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Xiaoxing Liu
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Jie Sun
- Peking University Third Hospital, Peking University, Beijing 100191, China
| | - Weijian Liu
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
- Chinese Academy of Medical Sciences Research Unit (No. 2018RU006), Peking University, Beijing 100191, China
- Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Guido van Wingen
- Department of Psychiatry, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Yujun Gao
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei Province 430000, China
| | - Yiqing Tan
- The Third Hospital of Wuhan City, Wuhan, Hubei Province 430000, China
| | - Yi Hong
- Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, Hubei Province 430063, China
| | - Yu Lu
- Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, Hubei Province 430063, China
| | - Ping Wu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
| | - Xiujun Zhang
- School of Psychology, College of Public Health, North China University of Science and Technology, 21 Bohai Road, Tang'shan, Hebei Province 063210, China
| | - Yongxiang Wang
- Shandong Institute of Brain Science and Brain-Inspired Research, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province 271016, China
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
| | - Yumei Wang
- Shandong Institute of Brain Science and Brain-Inspired Research, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province 271016, China
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province 250021, China
| | - Lin Lu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing 100191, China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100191, China
- Chinese Academy of Medical Sciences Research Unit (No. 2018RU006), Peking University, Beijing 100191, China
- Shandong Institute of Brain Science and Brain-Inspired Research, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province 271016, China
| | - Xiangyou Li
- Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, Hubei Province 430063, China
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- School of Public Health, Peking University, Beijing 100191, China
- Shandong Institute of Brain Science and Brain-Inspired Research, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province 271016, China
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Meyerowitz EA, Li Y. Review: The Landscape of Antiviral Therapy for COVID-19 in the Era of Widespread Population Immunity and Omicron-Lineage Viruses. Clin Infect Dis 2024; 78:908-917. [PMID: 37949817 PMCID: PMC11487108 DOI: 10.1093/cid/ciad685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/01/2023] [Accepted: 11/08/2023] [Indexed: 11/12/2023] Open
Abstract
The goals of coronavirus disease 2019 (COVID-19) antiviral therapy early in the pandemic were to prevent severe disease, hospitalization, and death. As these outcomes have become infrequent in the age of widespread population immunity, the objectives have shifted. For the general population, COVID-19-directed antiviral therapy should decrease symptom severity and duration and minimize infectiousness, and for immunocompromised individuals, antiviral therapy should reduce severe outcomes and persistent infection. The increased recognition of virologic rebound following ritonavir-boosted nirmatrelvir (NMV/r) and the lack of randomized controlled trial data showing benefit of antiviral therapy for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection for standard-risk, vaccinated individuals remain major knowledge gaps. Here, we review data for selected antiviral agents and immunomodulators currently available or in late-stage clinical trials for use in outpatients. We do not review antibody products, convalescent plasma, systemic corticosteroids, IL-6 inhibitors, Janus kinase inhibitors, or agents that lack Food and Drug Administration approval or emergency use authorization or are not appropriate for outpatients.
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Affiliation(s)
- Eric A Meyerowitz
- Division of Infectious Diseases, Department of Medicine, Montefiore Medical Center, Bronx, New York, USA
| | - Yijia Li
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
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Hsiao YY, Elliott TR, Jaramillo J, Douglas ME, Powers MB, Warren AM. The Fatigue and Altered Cognition Scale among SARS-CoV-2 Survivors: Psychometric Properties and Item Correlations with Depression and Anxiety Symptoms. J Clin Med 2024; 13:2186. [PMID: 38673462 PMCID: PMC11050894 DOI: 10.3390/jcm13082186] [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: 02/19/2024] [Revised: 03/17/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024] Open
Abstract
Background/Objectives: This study examined the psychometric properties of the Fatigue and Altered Cognition Scale (FACs) among adult COVID-19 survivors and its unique ability to assess symptomology not accounted for by measures of depression and anxiety. Methods: COVID-19 survivors completed an online survey that included the FACs, a measure of brain fog and central fatigue with 20 items rated on a digital-analog scale. Useable data from 559 participants were analyzed to test the two-factor structure of the FACs, test for measurement invariance by sex and device was used to complete the survey (hand-held, computer), and item correlations with symptoms of depression and anxiety were examined. Results: The two-factor structure of the FACs replicated, supporting the separate assessments of brain fog and fatigue, χ2(164) = 1028.363, p < 0.001, CFI = 0.934, TLI = 0.923, RMSEA = 0.097, SRMR = 0.053. The FACs exhibited invariance at the scalar level, indicating item and factor integrity regardless of sex and device type. Using a correlation > 0.70 as a criterion (i.e., indicating more than 50% shared variance between two items), items on the FACs (assessing fatigue and lack of energy) were highly correlated with feeling tired or having little energy on the depression measure. No other items correlated with any anxiety symptom larger than 0.70. Conclusions: The FACs appears to be a psychometrically sound and efficient measure for use with COVID-19 survivors, assessing symptoms of brain fog and central fatigue that are not attributable to symptoms assessed by established measures of depression and anxiety.
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Affiliation(s)
- Yu-Yu Hsiao
- Department of Individual, Family and Community Education, University of New Mexico, Albuquerque, NM 87131, USA; (Y.-Y.H.); (J.J.)
| | - Timothy R. Elliott
- Department of Educational Psychology, Texas A&M University, College Station, TX 77843, USA
| | - Julie Jaramillo
- Department of Individual, Family and Community Education, University of New Mexico, Albuquerque, NM 87131, USA; (Y.-Y.H.); (J.J.)
| | - Megan E. Douglas
- Baylor Scott & White Research Institute, Dallas, TX 75246, USA; (M.E.D.); (M.B.P.); (A.M.W.)
| | - Mark B. Powers
- Baylor Scott & White Research Institute, Dallas, TX 75246, USA; (M.E.D.); (M.B.P.); (A.M.W.)
| | - Ann Marie Warren
- Baylor Scott & White Research Institute, Dallas, TX 75246, USA; (M.E.D.); (M.B.P.); (A.M.W.)
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9
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Plantone D, Stufano A, Righi D, Locci S, Iavicoli I, Lovreglio P, De Stefano N. Neurofilament light chain and glial fibrillary acid protein levels are elevated in post-mild COVID-19 or asymptomatic SARS-CoV-2 cases. Sci Rep 2024; 14:6429. [PMID: 38499607 PMCID: PMC10948776 DOI: 10.1038/s41598-024-57093-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/14/2024] [Indexed: 03/20/2024] Open
Abstract
Given the huge impact of the COVID-19 pandemic, it appears of paramount importance to assess the cognitive effects on the population returning to work after COVID-19 resolution. Serum levels of neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) represent promising biomarkers of neuro-axonal damage and astrocytic activation. In this cohort study, we explored the association between sNfL and sGFAP concentrations and cognitive performance in a group of 147 adult workers with a previous asymptomatic SARS-CoV-2 infection or mild COVID-19, one week and, in 49 of them, ten months after SARS-Cov2 negativization and compared them to a group of 82 age and BMI-matched healthy controls (HCs). sNfL and sGFAP concentrations were assessed using SimoaTM assay Neurology 2-Plex B Kit. COVID-19 patients were interviewed one-on-one by trained physicians and had to complete a list of questionnaires, including the Cognitive Failure Questionnaire (CFQ). At the first assessment (T0), sNfL and sGFAP levels were significantly higher in COVID-19 patients than in HCs (p < 0.001 for both). The eleven COVID-19 patients with cognitive impairment had significantly higher levels of sNfL and sGFAP than the others (p = 0.005 for both). At the subsequent follow-up (T1), sNfL and sGFAP levels showed a significant decrease (median sNfL 18.3 pg/mL; median sGFAP 77.2 pg/mL), although they were still higher than HCs (median sNfL 7.2 pg/mL, median sGFAP 63.5 pg/mL). Our results suggest an ongoing damage involving neurons and astrocytes after SARS-Cov2 negativization, which reduce after ten months even if still evident compared to HCs.
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Affiliation(s)
- Domenico Plantone
- Department of Medicine, Surgery, Neuroscience University of Siena, Siena, Italy.
| | - Angela Stufano
- Department of Interdisciplinary Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Delia Righi
- Department of Medicine, Surgery, Neuroscience University of Siena, Siena, Italy
| | - Sara Locci
- Department of Medicine, Surgery, Neuroscience University of Siena, Siena, Italy
| | - Ivo Iavicoli
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Piero Lovreglio
- Department of Interdisciplinary Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery, Neuroscience University of Siena, Siena, Italy
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10
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Fernández-de-las-Peñas C, Cancela-Cilleruelo I, Rodríguez-Jiménez J, Arias-Navalón JA, Martín-Guerrero JD, Pellicer-Valero OJ, Arendt-Nielsen L, Cigarán-Méndez M. Trajectory of post-COVID brain fog, memory loss, and concentration loss in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP multicenter study. Front Hum Neurosci 2023; 17:1259660. [PMID: 38021227 PMCID: PMC10665893 DOI: 10.3389/fnhum.2023.1259660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Objective This study aimed to apply Sankey plots and exponential bar plots for visualizing the trajectory of post-COVID brain fog, memory loss, and concentration loss in a cohort of previously hospitalized COVID-19 survivors. Methods A sample of 1,266 previously hospitalized patients due to COVID-19 during the first wave of the pandemic were assessed at 8.4 (T1), 13.2 (T2), and 18.3 (T3) months after hospital discharge. They were asked about the presence of the following self-reported cognitive symptoms: brain fog (defined as self-perception of sluggish or fuzzy thinking), memory loss (defined as self-perception of unusual forgetfulness), and concentration loss (defined as self-perception of not being able to maintain attention). We asked about symptoms that individuals had not experienced previously, and they attributed them to the acute infection. Clinical and hospitalization data were collected from hospital medical records. Results The Sankey plots revealed that the prevalence of post-COVID brain fog was 8.37% (n = 106) at T1, 4.7% (n = 60) at T2, and 5.1% (n = 65) at T3, whereas the prevalence of post-COVID memory loss was 14.9% (n = 189) at T1, 11.4% (n = 145) at T2, and 12.12% (n = 154) at T3. Finally, the prevalence of post-COVID concentration loss decreased from 6.86% (n = 87) at T1, to 4.78% (n = 60) at T2, and to 2.63% (n = 33) at T3. The recovery exponential curves show a decreasing trend, indicating that these post-COVID cognitive symptoms recovered in the following years after discharge. The regression models did not reveal any medical record data associated with post-COVID brain fog, memory loss, or concentration loss in the long term. Conclusion The use of Sankey plots shows a fluctuating evolution of post-COVID brain fog, memory loss, or concentration loss during the first years after the infection. In addition, exponential bar plots revealed a decrease in the prevalence of these symptoms during the first years after hospital discharge. No risk factors were identified in this cohort.
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Affiliation(s)
- César Fernández-de-las-Peñas
- Department of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, Universidad Rey Juan Carlos (URJC), Madrid, Spain
- Center for Neuroplasticity and Pain, Department of Health Science and Technology, School of Medicine, Aalborg University, Aalborg, Denmark
| | - Ignacio Cancela-Cilleruelo
- Department of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, Universidad Rey Juan Carlos (URJC), Madrid, Spain
| | - Jorge Rodríguez-Jiménez
- Department of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, Universidad Rey Juan Carlos (URJC), Madrid, Spain
| | | | - José D. Martín-Guerrero
- Intelligent Data Analysis Laboratory, Department of Electronic Engineering, ETSE (Engineering School), Universitat de València (UV), Valencia, Spain
- Valencian Graduate School and Research Network of Artificial Intelligence (ValgrAI), València, Spain
| | - Oscar J. Pellicer-Valero
- Image Processing Laboratory (IPL), Universitat de València, Parc Científic, Paterna, València, Spain
| | - Lars Arendt-Nielsen
- Center for Neuroplasticity and Pain, Department of Health Science and Technology, School of Medicine, Aalborg University, Aalborg, Denmark
- Department of Gastroenterology & Hepatology, Mech-Sense, Clinical Institute, Aalborg University Hospital, Aalborg, Denmark
- Steno Diabetes Center North Denmark, Clinical Institute, Aalborg University Hospital, Aalborg, Denmark
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11
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Zhao S, Toniolo S, Hampshire A, Husain M. Effects of COVID-19 on cognition and brain health. Trends Cogn Sci 2023; 27:1053-1067. [PMID: 37657964 PMCID: PMC10789620 DOI: 10.1016/j.tics.2023.08.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/08/2023] [Accepted: 08/08/2023] [Indexed: 09/03/2023]
Abstract
COVID-19 is associated with a range of neurological, cognitive, and mental health symptoms both acutely and chronically that can persist for many months after infection in people with long-COVID syndrome. Investigations of cognitive function and neuroimaging have begun to elucidate the nature of some of these symptoms. They reveal that, although cognitive deficits may be related to brain imaging abnormalities in some people, symptoms can also occur in the absence of objective cognitive deficits or neuroimaging changes. Furthermore, cognitive impairment may be detected even in asymptomatic individuals. We consider the evidence regarding symptoms, cognitive deficits, and neuroimaging, as well as their possible underlying mechanisms.
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Affiliation(s)
- Sijia Zhao
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK.
| | - Sofia Toniolo
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK; Wellcome Trust Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford OX2 6AE, UK
| | - Adam Hampshire
- Department of Brain Sciences, Imperial College London, 926 Sir Michael Uren Hub, 86 Wood Lane, London W12 0BZ, UK
| | - Masud Husain
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK; Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK; Wellcome Trust Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford OX2 6AE, UK.
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12
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Joffe AR, Elliott A. Long COVID as a functional somatic symptom disorder caused by abnormally precise prior expectations during Bayesian perceptual processing: A new hypothesis and implications for pandemic response. SAGE Open Med 2023; 11:20503121231194400. [PMID: 37655303 PMCID: PMC10467233 DOI: 10.1177/20503121231194400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/27/2023] [Indexed: 09/02/2023] Open
Abstract
This review proposes a model of Long-COVID where the constellation of symptoms are in fact genuinely experienced persistent physical symptoms that are usually functional in nature and therefore potentially reversible, that is, Long-COVID is a somatic symptom disorder. First, we describe what is currently known about Long-COVID in children and adults. Second, we examine reported "Long-Pandemic" effects that create a risk for similar somatic symptoms to develop in non-COVID-19 patients. Third, we describe what was known about somatization and somatic symptom disorder before the COVID-19 pandemic, and suggest that by analogy, Long-COVID may best be conceptualized as one of these disorders, with similar symptoms and predisposing, precipitating, and perpetuating factors. Fourth, we review the phenomenon of mass sociogenic (functional) illness, and the concept of nocebo effects, and suggest that by analogy, Long-COVID is compatible with these descriptions. Fifth, we describe the current theoretical model of the mechanism underlying functional disorders, the Bayesian predictive coding model for perception. This model accounts for moderators that can make symptom inferences functionally inaccurate and therefore can explain how to understand common predisposing, precipitating, and perpetuating factors. Finally, we discuss the implications of this framework for improved public health messaging during a pandemic, with recommendations for the management of Long-COVID symptoms in healthcare systems. We argue that the current public health approach has induced fear of Long-COVID in the population, including from constant messaging about disabling symptoms of Long-COVID and theorizing irreversible tissue damage as the cause of Long-COVID. This has created a self-fulfilling prophecy by inducing the very predisposing, precipitating, and perpetuating factors for the syndrome. Finally, we introduce the term "Pandemic-Response Syndrome" to describe what previously was labeled Long-COVID. This alternative perspective aims to stimulate research and serve as a lesson learned to avoid a repeat performance in the future.
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Affiliation(s)
- Ari R Joffe
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - April Elliott
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
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