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Lawson CA, Moss AJ, Arnold JR, Bagot C, Banerjee A, Berry C, Greenwood J, Hughes AD, Khunti K, Mills NL, Neubauer S, Raman B, Sattar N, Leavy OC, Richardson M, Elneima O, McAuley HJ, Shikotra A, Singapuri A, Sereno M, Saunders R, Harris V, Houchen-Wolloff L, Greening NJ, Harrison E, Docherty AB, Lone NI, Quint JK, Chalmers J, Ho LP, Horsley A, Marks M, Poinasamy K, Evans R, Wain LV, Brightling C, McCann GP. Long COVID and cardiovascular disease: a prospective cohort study. Open Heart 2024; 11:e002662. [PMID: 38802280 PMCID: PMC11131117 DOI: 10.1136/openhrt-2024-002662] [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: 03/04/2024] [Accepted: 05/02/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Pre-existing cardiovascular disease (CVD) or cardiovascular risk factors have been associated with an increased risk of complications following hospitalisation with COVID-19, but their impact on the rate of recovery following discharge is not known. OBJECTIVES To determine whether the rate of patient-perceived recovery following hospitalisation with COVID-19 was affected by the presence of CVD or cardiovascular risk factors. METHODS In a multicentre prospective cohort study, patients were recruited following discharge from the hospital with COVID-19 undertaking two comprehensive assessments at 5 months and 12 months. Patients were stratified by the presence of either CVD or cardiovascular risk factors prior to hospitalisation with COVID-19 and compared with controls with neither. Full recovery was determined by the response to a patient-perceived evaluation of full recovery from COVID-19 in the context of physical, physiological and cognitive determinants of health. RESULTS From a total population of 2545 patients (38.8% women), 472 (18.5%) and 1355 (53.2%) had CVD or cardiovascular risk factors, respectively. Compared with controls (n=718), patients with CVD and cardiovascular risk factors were older and more likely to have had severe COVID-19. Full recovery was significantly lower at 12 months in patients with CVD (adjusted OR (aOR) 0.62, 95% CI 0.43 to 0.89) and cardiovascular risk factors (aOR 0.66, 95% CI 0.50 to 0.86). CONCLUSION Patients with CVD or cardiovascular risk factors had a delayed recovery at 12 months following hospitalisation with COVID-19. Targeted interventions to reduce the impact of COVID-19 in patients with cardiovascular disease remain an unmet need. TRAIL REGISTRATION NUMBER ISRCTN10980107.
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Affiliation(s)
| | - Alastair James Moss
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | | | - Catherine Bagot
- Department of Haemostasis and Thrombosis, Glasgow Royal Infirmary, Glasgow, Glasgow, UK
| | - Amitava Banerjee
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Colin Berry
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
- Cardiology, Golden Jubilee National Hospital, Clydebank, UK
| | - John Greenwood
- Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
- Biomedical Imaging Sciences, University of Leeds, Leeds, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester, UK
| | - Nicholas L Mills
- BHF Centre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, Edinburgh, UK
| | - Stefan Neubauer
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Betty Raman
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Olivia C Leavy
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Michael Marks
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Rachael Evans
- The Institute for Lung Health, University of Leicester, Leicester, UK
| | - Louise V Wain
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Chris Brightling
- The Institute for Lung Health, University of Leicester, Leicester, UK
| | - Gerry P McCann
- Department of Cardiovascular Sciences, Glenfield Hospital, Leicester, UK
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Bergmans RS, Clauw DJ, Flint C, Harris H, Lederman S, Schrepf A. Chronic overlapping pain conditions increase the risk of long COVID features, regardless of acute COVID status. Pain 2024; 165:1112-1120. [PMID: 38112577 PMCID: PMC11017744 DOI: 10.1097/j.pain.0000000000003110] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/18/2023] [Accepted: 09/21/2023] [Indexed: 12/21/2023]
Abstract
ABSTRACT Chronic overlapping pain conditions (COPCs) refer to conditions that have similar central nervous system pathophysiologic mechanisms driving widespread pain as well as common comorbid symptoms such as fatigue and problems with sleep, memory, and mood. If COPCs predict the onset of long COVID, this could offer a valuable orientation for long COVID-related research and clinical care. This retrospective cohort study aimed to determine whether having a COPC predicts the onset of long COVID features using US electronic health records and 1:1 propensity score matching without replacement. The study cohorts included (1) people with acute COVID (n = 1,038,402), (2) people with acute influenza (n = 262,092), and (3) a noninfected cohort comprising people with a routine healthcare encounter (n = 1,081,593). Having a COPC increased the risk of long COVID features in all 3 study cohorts. Among those with COVID, having a pre-existing COPC increased the risk by 1.47 (95% CI = 1.46, 1.47). In the influenza cohort, COPCs increased the risk by 1.39 (95% CI = 1.38, 1.40). In the noninfected cohort, COPCs increased the risk by 1.57 (95% CI = 1.56, 1.59). These findings reinforce the likelihood that nociplastic mechanisms play a prominent role in long COVID. Recognizing that this ubiquitous nonspecific syndrome occurs frequently in the population can inform precision medicine therapies that avoid the pitfalls of viewing long COVID exclusively in the framework of postinfectious disease.
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Affiliation(s)
- Rachel S. Bergmans
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
| | - Daniel J. Clauw
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
| | | | - Herb Harris
- Tonix Pharmaceuticals, Chatham, NJ, United States
| | | | - Andrew Schrepf
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States
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Li AY, Li WX, Li J. Emerging trends in management of long COVID with a focus on pulmonary rehabilitation: A review. THE CLINICAL RESPIRATORY JOURNAL 2024; 18:e13777. [PMID: 38775379 PMCID: PMC11110486 DOI: 10.1111/crj.13777] [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: 11/20/2023] [Revised: 03/10/2024] [Accepted: 05/01/2024] [Indexed: 05/25/2024]
Abstract
Long COVID, or post-acute sequelae of COVID-19 (PASC), represents a complex condition with persistent symptoms following SARS-Cov-2 infection. The symptoms include fatigue, dyspnoea, cognitive impairment, decreased quality of life in variable levels of severity. Potential mechanisms behind long COVID include vascular damage, immune dysregulation and viral persistence. Diagnosing long COVID involves medical evaluation by multidisciplinary team and assessment of persistent symptoms with scoring systems in development. Treatment strategies are symptom-focused, encompassing multidisciplinary care, rehabilitation and tailored exercise programmes. Pulmonary rehabilitation, an effective and critical component of long COVID management, has shown promise, particularly for patients with respiratory symptoms such as dyspnoea. These programmes, which combine exercise, breathing techniques, education and psychological support, improve symptoms, quality of life and overall recovery. Innovative technologies, such as telemedicine, wearable devices, telerehabilitation, are transforming long COVID management. Telemedicine facilitates consultations and interventions, eliminating healthcare access barriers. Wearable devices enable remote and continuous monitoring of patients during their rehabilitation activities. Telerehabilitation has proven to be safe and feasible and to have high potential for COVID-19 recovery. This review provides a concise overview of long COVID, encompassing its definition, prevalence, mechanisms, clinical manifestations, diagnosis and management approaches. It emphasizes the significance of multidisciplinary approach in diagnosis and treatment of long COVID, with focus on pulmonary rehabilitation and innovative technology advances to effectively address the management of long COVID.
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Affiliation(s)
- Allison Y. Li
- Department of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- College of EngineeringUniversity of California Santa BarbaraSanta BarbaraCaliforniaUSA
| | - Willis X. Li
- Department of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Jinghong Li
- Department of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
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4
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Blankestijn JM, Abdel-Aziz MI, Baalbaki N, Bazdar S, Beekers I, Beijers RJHCG, Bloemsma LD, Cornelissen MEB, Gach D, Houweling L, Holverda S, Jacobs JJL, Jonker R, van der Lee I, Linders PMA, Mohamed Hoesein FAA, Noij LCE, Nossent EJ, van de Pol MA, Schaminee DW, Schols AMWJ, Schuurman LT, Sondermeijer B, Geelhoed JJM, van den Bergh JP, Weersink EJM, de Wit-van Wijck Y, Maitland-van der Zee AH. Long COVID exhibits clinically distinct phenotypes at 3-6 months post-SARS-CoV-2 infection: results from the P4O2 consortium. BMJ Open Respir Res 2024; 11:e001907. [PMID: 38663887 PMCID: PMC11043734 DOI: 10.1136/bmjresp-2023-001907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Four months after SARS-CoV-2 infection, 22%-50% of COVID-19 patients still experience complaints. Long COVID is a heterogeneous disease and finding subtypes could aid in optimising and developing treatment for the individual patient. METHODS Data were collected from 95 patients in the P4O2 COVID-19 cohort at 3-6 months after infection. Unsupervised hierarchical clustering was performed on patient characteristics, characteristics from acute SARS-CoV-2 infection, long COVID symptom data, lung function and questionnaires describing the impact and severity of long COVID. To assess robustness, partitioning around medoids was used as alternative clustering. RESULTS Three distinct clusters of patients with long COVID were revealed. Cluster 1 (44%) represented predominantly female patients (93%) with pre-existing asthma and suffered from a median of four symptom categories, including fatigue and respiratory and neurological symptoms. They showed a milder SARS-CoV-2 infection. Cluster 2 (38%) consisted of predominantly male patients (83%) with cardiovascular disease (CVD) and suffered from a median of three symptom categories, most commonly respiratory and neurological symptoms. This cluster also showed a significantly lower forced expiratory volume within 1 s and diffusion capacity of the lung for carbon monoxide. Cluster 3 (18%) was predominantly male (88%) with pre-existing CVD and diabetes. This cluster showed the mildest long COVID, and suffered from symptoms in a median of one symptom category. CONCLUSIONS Long COVID patients can be clustered into three distinct phenotypes based on their clinical presentation and easily obtainable information. These clusters show distinction in patient characteristics, lung function, long COVID severity and acute SARS-CoV-2 infection severity. This clustering can help in selecting the most beneficial monitoring and/or treatment strategies for patients suffering from long COVID. Follow-up research is needed to reveal the underlying molecular mechanisms implicated in the different phenotypes and determine the efficacy of treatment.
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Affiliation(s)
- Jelle M Blankestijn
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Mahmoud I Abdel-Aziz
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
- Department of Clinical Pharmacy, Assiut University Faculty of Pharmacy, Assiut, Egypt
| | - Nadia Baalbaki
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Somayeh Bazdar
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Inés Beekers
- ORTEC, Zoetermeer, Zuid-Holland, The Netherlands
| | - Rosanne J H C G Beijers
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Universiteit Maastricht School of Nutrition and Translational Research in Metabolism, Maastricht, The Netherlands
| | - Lizan D Bloemsma
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Merel E B Cornelissen
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Debbie Gach
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Universiteit Maastricht School of Nutrition and Translational Research in Metabolism, Maastricht, The Netherlands
| | - Laura Houweling
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
- Department of Environmental Epidemiology, Utrecht University Institute for Risk Assessment Sciences, Utrecht, The Netherlands
| | | | | | - Reneé Jonker
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Ivo van der Lee
- Department of Pulmonology, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Paulien M A Linders
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | | | - Lieke C E Noij
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Esther J Nossent
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Marianne A van de Pol
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Daphne W Schaminee
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Annemie M W J Schols
- Universiteit Maastricht School of Nutrition and Translational Research in Metabolism, Maastricht, The Netherlands
- Department of Respiratory Medicine, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Lisanne T Schuurman
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Universiteit Maastricht School of Nutrition and Translational Research in Metabolism, Maastricht, The Netherlands
| | | | - J J Miranda Geelhoed
- Department of Respiratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Joop P van den Bergh
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Internal Medicine, VieCuri Medical Centre, Venlo, The Netherlands
| | - Els J M Weersink
- Department of Pulmonary Medicine, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | | | - Anke H Maitland-van der Zee
- Department of Respiratory Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Pediatric Respiratory Medicine, Emma Childrens' Hospital UMC, Amsterdam, The Netherlands
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Greenhalgh T, Darbyshire JL, Lee C, Ladds E, Ceolta-Smith J. What is quality in long covid care? Lessons from a national quality improvement collaborative and multi-site ethnography. BMC Med 2024; 22:159. [PMID: 38616276 PMCID: PMC11017565 DOI: 10.1186/s12916-024-03371-6] [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: 12/04/2023] [Accepted: 03/26/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Long covid (post covid-19 condition) is a complex condition with diverse manifestations, uncertain prognosis and wide variation in current approaches to management. There have been calls for formal quality standards to reduce a so-called "postcode lottery" of care. The original aim of this study-to examine the nature of quality in long covid care and reduce unwarranted variation in services-evolved to focus on examining the reasons why standardizing care was so challenging in this condition. METHODS In 2021-2023, we ran a quality improvement collaborative across 10 UK sites. The dataset reported here was mostly but not entirely qualitative. It included data on the origins and current context of each clinic, interviews with staff and patients, and ethnographic observations at 13 clinics (50 consultations) and 45 multidisciplinary team (MDT) meetings (244 patient cases). Data collection and analysis were informed by relevant lenses from clinical care (e.g. evidence-based guidelines), improvement science (e.g. quality improvement cycles) and philosophy of knowledge. RESULTS Participating clinics made progress towards standardizing assessment and management in some topics; some variation remained but this could usually be explained. Clinics had different histories and path dependencies, occupied a different place in their healthcare ecosystem and served a varied caseload including a high proportion of patients with comorbidities. A key mechanism for achieving high-quality long covid care was when local MDTs deliberated on unusual, complex or challenging cases for which evidence-based guidelines provided no easy answers. In such cases, collective learning occurred through idiographic (case-based) reasoning, in which practitioners build lessons from the particular to the general. This contrasts with the nomothetic reasoning implicit in evidence-based guidelines, in which reasoning is assumed to go from the general (e.g. findings of clinical trials) to the particular (management of individual patients). CONCLUSION Not all variation in long covid services is unwarranted. Largely because long covid's manifestations are so varied and comorbidities common, generic "evidence-based" standards require much individual adaptation. In this complex condition, quality improvement resources may be productively spent supporting MDTs to optimise their case-based learning through interdisciplinary discussion. Quality assessment of a long covid service should include review of a sample of individual cases to assess how guidelines have been interpreted and personalized to meet patients' unique needs. STUDY REGISTRATION NCT05057260, ISRCTN15022307.
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Affiliation(s)
- Trisha Greenhalgh
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford, OX2 6GG, UK.
| | - Julie L Darbyshire
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford, OX2 6GG, UK
| | - Cassie Lee
- Imperial College Healthcare NHS Trust, London, UK
| | - Emma Ladds
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford, OX2 6GG, UK
| | - Jenny Ceolta-Smith
- LOCOMOTION Patient Advisory Group and Lived Experience Representative, London, UK
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Huth D, Bräscher AK, Tholl S, Fiess J, Birke G, Herrmann C, Jöbges M, Mier D, Witthöft M. Cognitive-behavioral therapy for patients with post-COVID-19 condition (CBT-PCC): a feasibility trial. Psychol Med 2024; 54:1122-1132. [PMID: 37842765 DOI: 10.1017/s0033291723002921] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
BACKGROUND The post-COVID-19 condition describes the persistence or onset of somatic symptoms (e.g. fatigue) after acute COVID-19. Based on an existing cognitive-behavioral treatment protocol, we developed a specialized group intervention for individuals with post-COVID-19 condition. The present study examines the feasibility, acceptance, and effectiveness of the program for inpatients in a neurological rehabilitation setting. METHODS The treatment program comprises eight sessions and includes psychoeducational and experience-based interventions on common psychophysiological mechanisms of persistent somatic symptoms. A feasibility trial was conducted using a one-group design in a naturalistic setting. N = 64 inpatients with a history of mild COVID-19 that fulfilled WHO criteria for post-COVID-19 condition were enrolled. After each session, evaluation forms were completed and psychometric questionnaires on somatic and psychopathological symptom burden were collected pre- and post-intervention. RESULTS The treatment program was well received by participants and therapists. Each session was rated as comprehensible and overall satisfaction with the sessions was high. Pre-post effect sizes (of standard rehabilitation incl. new treatment program; intention-to-treat) showed significantly reduced subjective fatigue (p < 0.05, dav = 0.33) and improved disease coping (ps < 0.05, dav = 0.33-0.49). CONCLUSIONS Our results support the feasibility and acceptance of the newly developed cognitive-behavioral group intervention for individuals with post-COVID-19 condition. Yet, findings have to be interpreted cautiously due to the lack of a control group and follow-up measurement, the small sample size, and a relatively high drop-out rate.
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Affiliation(s)
- Daniel Huth
- Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Anne-Kathrin Bräscher
- Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sarah Tholl
- Department of Clinical Psychology and Psychotherapy, University of Konstanz, Konstanz, Germany
| | - Johanna Fiess
- Department of Clinical Psychology and Psychotherapy, University of Konstanz, Konstanz, Germany
| | - Gunnar Birke
- Kliniken Schmieder Gailingen, Gailingen, Germany
| | | | | | - Daniela Mier
- Department of Clinical Psychology and Psychotherapy, University of Konstanz, Konstanz, Germany
| | - Michael Witthöft
- Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg University Mainz, Mainz, Germany
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Chagas LDS, Serfaty CA. The Influence of Microglia on Neuroplasticity and Long-Term Cognitive Sequelae in Long COVID: Impacts on Brain Development and Beyond. Int J Mol Sci 2024; 25:3819. [PMID: 38612629 PMCID: PMC11011312 DOI: 10.3390/ijms25073819] [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: 03/01/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Microglial cells, the immune cells of the central nervous system, are key elements regulating brain development and brain health. These cells are fully responsive to stressors, microenvironmental alterations and are actively involved in the construction of neural circuits in children and the ability to undergo full experience-dependent plasticity in adults. Since neuroinflammation is a known key element in the pathogenesis of COVID-19, one might expect the dysregulation of microglial function to severely impact both functional and structural plasticity, leading to the cognitive sequelae that appear in the pathogenesis of Long COVID. Therefore, understanding this complex scenario is mandatory for establishing the possible molecular mechanisms related to these symptoms. In the present review, we will discuss Long COVID and its association with reduced levels of BDNF, altered crosstalk between circulating immune cells and microglia, increased levels of inflammasomes, cytokines and chemokines, as well as the alterations in signaling pathways that impact neural synaptic remodeling and plasticity, such as fractalkines, the complement system, the expression of SIRPα and CD47 molecules and altered matrix remodeling. Together, these complex mechanisms may help us understand consequences of Long COVID for brain development and its association with altered brain plasticity, impacting learning disabilities, neurodevelopmental disorders, as well as cognitive decline in adults.
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Affiliation(s)
- Luana da Silva Chagas
- Program of Neuroscience, Department of Neurobiology, Institute of Biology, Federal Fluminense University, Niterói 24210-201, Rio de Janeiro, Brazil;
- National Institute of Science and Technology on Neuroimmunomodulation—INCT-NIM, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21041-250, Rio de Janeiro, Brazil
- Rio de Janeiro Research Network on Neuroinflammation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21041-250, Rio de Janeiro, Brazil
| | - Claudio Alberto Serfaty
- Program of Neuroscience, Department of Neurobiology, Institute of Biology, Federal Fluminense University, Niterói 24210-201, Rio de Janeiro, Brazil;
- National Institute of Science and Technology on Neuroimmunomodulation—INCT-NIM, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21041-250, Rio de Janeiro, Brazil
- Rio de Janeiro Research Network on Neuroinflammation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21041-250, Rio de Janeiro, Brazil
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Makhluf H, Madany H, Kim K. Long COVID: Long-Term Impact of SARS-CoV2. Diagnostics (Basel) 2024; 14:711. [PMID: 38611624 PMCID: PMC11011397 DOI: 10.3390/diagnostics14070711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 03/23/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024] Open
Abstract
Four years post-pandemic, SARS-CoV-2 continues to affect many lives across the globe. An estimated 65 million people suffer from long COVID, a term used to encapsulate the post-acute sequelae of SARS-CoV-2 infections that affect multiple organ systems. Known symptoms include chronic fatigue syndrome, brain fog, cardiovascular issues, autoimmunity, dysautonomia, and clotting due to inflammation. Herein, we review long COVID symptoms, the proposed theories behind the pathology, diagnostics, treatments, and the clinical trials underway to explore treatments for viral persistence, autonomic and cognitive dysfunctions, sleep disturbances, fatigue, and exercise intolerance.
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Affiliation(s)
- Huda Makhluf
- Department of Mathematics and Natural Sciences, National University, San Diego, CA 92123, USA
- Center for Infectious Disease, La Jolla Institute, La Jolla, CA 92037, USA; (H.M.); (K.K.)
| | - Henry Madany
- Center for Infectious Disease, La Jolla Institute, La Jolla, CA 92037, USA; (H.M.); (K.K.)
- Public Health Sciences, University of California, Irvine, CA 92697, USA
| | - Kenneth Kim
- Center for Infectious Disease, La Jolla Institute, La Jolla, CA 92037, USA; (H.M.); (K.K.)
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Bohmwald K, Diethelm-Varela B, Rodríguez-Guilarte L, Rivera T, Riedel CA, González PA, Kalergis AM. Pathophysiological, immunological, and inflammatory features of long COVID. Front Immunol 2024; 15:1341600. [PMID: 38482000 PMCID: PMC10932978 DOI: 10.3389/fimmu.2024.1341600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 02/09/2024] [Indexed: 04/12/2024] Open
Abstract
The COVID-19 pandemic continues to cause severe global disruption, resulting in significant excess mortality, overwhelming healthcare systems, and imposing substantial social and economic burdens on nations. While most of the attention and therapeutic efforts have concentrated on the acute phase of the disease, a notable proportion of survivors experience persistent symptoms post-infection clearance. This diverse set of symptoms, loosely categorized as long COVID, presents a potential additional public health crisis. It is estimated that 1 in 5 COVID-19 survivors exhibit clinical manifestations consistent with long COVID. Despite this prevalence, the mechanisms and pathophysiology of long COVID remain poorly understood. Alarmingly, evidence suggests that a significant proportion of cases within this clinical condition develop debilitating or disabling symptoms. Hence, urgent priority should be given to further studies on this condition to equip global public health systems for its management. This review provides an overview of available information on this emerging clinical condition, focusing on the affected individuals' epidemiology, pathophysiological mechanisms, and immunological and inflammatory profiles.
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Affiliation(s)
- Karen Bohmwald
- Millennium Institute on Immunology and Immunotherapy. Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
- Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Santiago, Chile
| | - Benjamín Diethelm-Varela
- Millennium Institute on Immunology and Immunotherapy. Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Linmar Rodríguez-Guilarte
- Millennium Institute on Immunology and Immunotherapy. Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Thomas Rivera
- Millennium Institute on Immunology and Immunotherapy. Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudia A. Riedel
- Millennium Institute on Immunology and Immunotherapy, Departamento de Ciencias Biológicas, Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago, Chile
| | - Pablo A. González
- Millennium Institute on Immunology and Immunotherapy. Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Alexis M. Kalergis
- Millennium Institute on Immunology and Immunotherapy. Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
- Departamento de Endocrinología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
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10
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Fischer C, Willscher E, Paschold L, Gottschick C, Klee B, Diexer S, Bosurgi L, Dutzmann J, Sedding D, Frese T, Girndt M, Hoell JI, Gekle M, Addo MM, Schulze Zur Wiesch J, Mikolajczyk R, Binder M, Schultheiß C. SARS-CoV-2 vaccination may mitigate dysregulation of IL-1/IL-18 and gastrointestinal symptoms of the post-COVID-19 condition. NPJ Vaccines 2024; 9:23. [PMID: 38316833 PMCID: PMC10844289 DOI: 10.1038/s41541-024-00815-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/24/2024] [Indexed: 02/07/2024] Open
Abstract
The rapid development of safe and effective vaccines helped to prevent severe disease courses after SARS-CoV-2 infection and to mitigate the progression of the COVID-19 pandemic. While there is evidence that vaccination may reduce the risk of developing post-COVID-19 conditions (PCC), this effect may depend on the viral variant. Therapeutic effects of post-infection vaccination have been discussed but the data for individuals with PCC remains inconclusive. In addition, extremely rare side effects after SARS-CoV-2 vaccination may resemble the heterogeneous PCC phenotype. Here, we analyze the plasma levels of 25 cytokines and SARS-CoV-2 directed antibodies in 540 individuals with or without PCC relative to one or two mRNA-based COVID-19 vaccinations as well as in 20 uninfected individuals one month after their initial mRNA-based COVID-19 vaccination. While none of the SARS-CoV-2 naïve individuals reported any persisting sequelae or exhibited PCC-like dysregulation of plasma cytokines, we detected lower levels of IL-1β and IL-18 in patients with ongoing PCC who received one or two vaccinations at a median of six months after infection as compared to unvaccinated PCC patients. This reduction correlated with less frequent reporting of persisting gastrointestinal symptoms. These data suggest that post-infection vaccination in patients with PCC might be beneficial in a subgroup of individuals displaying gastrointestinal symptoms.
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Affiliation(s)
- Claudia Fischer
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University, and University Hospital Basel, Basel, Switzerland
| | - Edith Willscher
- Department of Internal Medicine IV, Oncology/Hematology, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Lisa Paschold
- Department of Internal Medicine IV, Oncology/Hematology, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Cornelia Gottschick
- Institute for Medical Epidemiology, Biometrics, and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Bianca Klee
- Institute for Medical Epidemiology, Biometrics, and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Sophie Diexer
- Institute for Medical Epidemiology, Biometrics, and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Lidia Bosurgi
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Protozoa Immunology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Jochen Dutzmann
- Mid-German Heart Center, Department of Cardiology and Intensive Care Medicine, University Hospital, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Daniel Sedding
- Mid-German Heart Center, Department of Cardiology and Intensive Care Medicine, University Hospital, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Thomas Frese
- Institute of General Practice and Family Medicine, Martin-Luther-University Halle-Wittenberg, Halle, (Saale), Germany
| | - Matthias Girndt
- Department of Internal Medicine II, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Jessica I Hoell
- Pediatric Hematology and Oncology, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Michael Gekle
- Julius Bernstein-Institute of Physiology, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Marylyn M Addo
- I. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Braunschweig, Germany
- University Medical Center Hamburg-Eppendorf, Institute for Infection Research and Vaccine Development (IIRVD), Hamburg, Germany
| | | | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics, and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Mascha Binder
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University, and University Hospital Basel, Basel, Switzerland
| | - Christoph Schultheiß
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland.
- Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University, and University Hospital Basel, Basel, Switzerland.
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11
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Meyerowitz EA, Scott J, Richterman A, Male V, Cevik M. Clinical course and management of COVID-19 in the era of widespread population immunity. Nat Rev Microbiol 2024; 22:75-88. [PMID: 38114838 DOI: 10.1038/s41579-023-01001-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/28/2023] [Indexed: 12/21/2023]
Abstract
The clinical implications of COVID-19 have changed since SARS-CoV-2 first emerged in humans. The current high levels of population immunity, due to prior infection and/or vaccination, have been associated with a vastly decreased overall risk of severe disease. Some people, particularly those with immunocompromising conditions, remain at risk for severe outcomes. Through the course of the pandemic, variants with somewhat different symptom profiles from the original SARS-CoV-2 virus have emerged. The management of COVID-19 has also changed since 2020, with the increasing availability of evidence-based treatments in two main classes: antivirals and immunomodulators. Selecting the appropriate treatment(s) for patients with COVID-19 requires a deep understanding of the evidence and an awareness of the limitations of applying data that have been largely based on immune-naive populations to patients today who most likely have vaccine-derived and/or infection-derived immunity. In this Review, we provide a summary of the clinical manifestations and approaches to caring for adult patients with COVID-19 in the era of vaccine availability and the dominance of the Omicron subvariants, with a focus on the management of COVID-19 in different patient groups, including immunocompromised, pregnant, vaccinated and unvaccinated patients.
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Affiliation(s)
- Eric A Meyerowitz
- Division of Infectious Diseases, Montefiore Medical Center, Bronx, NY, USA
| | - Jake Scott
- Division of Infectious Diseases and Geographic Medicine, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Aaron Richterman
- Division of Infectious Diseases, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Victoria Male
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Muge Cevik
- Division of Infection and Global Health Research, School of Medicine, University of St Andrews, St Andrews, UK.
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12
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Kell DB, Khan MA, Kane B, Lip GYH, Pretorius E. Possible Role of Fibrinaloid Microclots in Postural Orthostatic Tachycardia Syndrome (POTS): Focus on Long COVID. J Pers Med 2024; 14:170. [PMID: 38392604 PMCID: PMC10890060 DOI: 10.3390/jpm14020170] [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: 12/11/2023] [Revised: 01/16/2024] [Accepted: 01/27/2024] [Indexed: 02/24/2024] Open
Abstract
Postural orthostatic tachycardia syndrome (POTS) is a common accompaniment of a variety of chronic, inflammatory diseases, including long COVID, as are small, insoluble, 'fibrinaloid' microclots. We here develop the argument, with accompanying evidence, that fibrinaloid microclots, through their ability to block the flow of blood through microcapillaries and thus cause tissue hypoxia, are not simply correlated with but in fact, by preceding it, may be a chief intermediary cause of POTS, in which tachycardia is simply the body's exaggerated 'physiological' response to hypoxia. Similar reasoning accounts for the symptoms bundled under the term 'fatigue'. Amyloids are known to be membrane disruptors, and when their targets are nerve membranes, this can explain neurotoxicity and hence the autonomic nervous system dysfunction that contributes to POTS. Taken together as a system view, we indicate that fibrinaloid microclots can serve to link POTS and fatigue in long COVID in a manner that is at once both mechanistic and explanatory. This has clear implications for the treatment of such diseases.
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Affiliation(s)
- Douglas B Kell
- Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Crown St, Liverpool L69 7ZB, UK
- The Novo Nordisk Foundation Centre for Biosustainability, Building 220, Chemitorvet 200, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch Private Bag X1, Matieland 7602, South Africa
| | - Muhammed Asad Khan
- Directorate of Respiratory Medicine, Manchester University Hospitals, Wythenshawe Hospital, Manchester M23 9LT, UK
| | - Binita Kane
- Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Crown St, Liverpool L69 7ZB, UK
- Manchester University Foundation Trust and School of Biological Sciences, University of Manchester, Manchester M13 9PL, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool L14 3PE, UK
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, 9220 Aalborg, Denmark
| | - Etheresia Pretorius
- Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Crown St, Liverpool L69 7ZB, UK
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch Private Bag X1, Matieland 7602, South Africa
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13
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Del Vecchio L, Balafa O, Dounousi E, Ekart R, Fernandez BF, Mark PB, Sarafidis P, Valdivielso JM, Ferro CJ, Mallamaci F. COVID-19 and cardiovascular disease in patients with chronic kidney disease. Nephrol Dial Transplant 2024; 39:177-189. [PMID: 37771078 PMCID: PMC10828215 DOI: 10.1093/ndt/gfad170] [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: 05/18/2023] [Indexed: 09/30/2023] Open
Abstract
Millions of people worldwide have chronic kidney disease (CKD). Affected patients are at high risk for cardiovascular (CV) disease for several reasons. Among various comorbidities, CKD is associated with the more severe forms of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This is particularly true for patients receiving dialysis or for kidney recipients. From the start of the SARS-CoV-2 pandemic, several CV complications have been observed in affected subjects, spanning acute inflammatory manifestations, CV events, thrombotic episodes and arrythmias. Several pathogenetic mechanisms have been hypothesized, including direct cytopathic viral effects on the myocardium, endothelial damage and hypercoagulability. This spectrum of disease can occur during the acute phase of the infection, but also months after recovery. This review is focussed on the CV complications of coronavirus disease 2019 (COVID-19) with particular interest in their implications for the CKD population.
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Affiliation(s)
- Lucia Del Vecchio
- Department of Nephrology and Dialysis, Sant'Anna Hospital, ASST Lariana, Como, Italy
| | - Olga Balafa
- Department of Nephrology, University Hospital of Ioannina, Ioannina, Greece
| | - Evangelia Dounousi
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Robert Ekart
- Department of Dialysis, Clinic for Internal Medicine, University Medical Center Maribor, Maribor, Slovenia
| | | | - Patrick B Mark
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Pantelis Sarafidis
- 1st Department of Nephrology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Jose M Valdivielso
- Vascular and Renal Translational Research Group, Institute for Biomedical Research on Lleida (IRBLleida), Lleida, Spain
| | - Charles J Ferro
- Department of Renal Medicine, University Hospitals Birmingham and Institute of Cardiovascular Sciences, University of Birmingham, Birmingham,UK
| | - Francesca Mallamaci
- Francesca Mallamaci Department of Nephrology, Dialysis, and Transplantation Azienda Ospedaliera “Bianchi-Melacrino-Morelli” & CNR-IFC, Reggio Calabria, Italy
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14
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Yang J, Markus K, Andersen KM, Rudolph AE, McGrath LJ, Nguyen JL, Kyaw MH, Whittle I, Blazos V, Heron L, Spinardi JR. Definition and measurement of post-COVID-19 conditions in real-world practice: a global systematic literature review. BMJ Open 2024; 14:e077886. [PMID: 38233057 PMCID: PMC10806676 DOI: 10.1136/bmjopen-2023-077886] [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: 07/18/2023] [Accepted: 11/22/2023] [Indexed: 01/19/2024] Open
Abstract
Post-COVID-19 conditions (PCC) is an umbrella term that encompasses a range of signs, symptoms and conditions present weeks after the acute phase of a SARS-CoV-2 infection. This systematic literature review summarises the heterogeneous methodology used to measure PCC across real-world studies and highlights trends by region, age group, PCC follow-up period and data source. METHODS Medline, EMBASE and the Cochrane Library were searched and supplemented with conference and grey literature searches. Eligible studies included individuals with (1) PCC or (2) a positive SARS-CoV-2 test or COVID-19 diagnosis who were followed over time. Included studies were published in English between 1 January 2020 and 14 November 2022. FINDINGS Of 291 publications included, 175 (60%) followed individuals with confirmed COVID-19 over time for PCC and 116 (40%) used a prespecified PCC definition. There was substantial heterogeneity in study design, geography, age group, PCC conditions/symptoms assessed and their classification and duration of follow-up. Among studies using a prespecified PCC definition, author-defined criteria (51%) were more common than criteria recommended by major public health organisations (19%). Measurement periods for PCC outcomes from date of acute COVID-19 test were primarily 3 to <6 months (39.2%), followed by 6 to <12 months (27.5%) and <3 months (22.9%). When classified by organ/system, constitutional-related PCC were the most frequently assessed in adult (86%) and paediatric (87%) populations. Within constitutional symptoms, fatigue was most frequently assessed in adult (91.6%) and paediatric (95.0%) populations, followed by fever/chills (37.9% and 55%, respectively). CONCLUSIONS PCC definitions are heterogenous across real-world studies, which limits reliable comparisons between studies. However, some similarities were observed in terms of the most frequently measured PCC-associated symptoms/conditions, which may aid clinical management of patients with PCC.CRD42022376111.
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Affiliation(s)
- Jingyan Yang
- Pfizer Inc, New York, New York, USA
- Institute for Social and Economic Research and Policy, Columbia University, New York, New York, USA
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15
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Pungitore S, Olorunnisola T, Mosier J, Subbian V. Computable Phenotypes for Post-acute sequelae of SARS-CoV-2: A National COVID Cohort Collaborative Analysis. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2024; 2023:589-598. [PMID: 38222385 PMCID: PMC10785914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
Post-acute sequelae of SARS-CoV-2 (PASC) is an increasingly recognized yet incompletely understood public health concern. Several studies have examined various ways to phenotype PASC to better characterize this heterogeneous condition. However, many gaps in PASC phenotyping research exist, including a lack of the following: 1) standardized definitions for PASC based on symptomatology; 2) generalizable and reproducible phenotyping heuristics and meta-heuristics; and 3) phenotypes based on both COVID-19 severity and symptom duration. In this study, we defined computable phenotypes (or heuristics) and meta-heuristics for PASC phenotypes based on COVID-19 severity and symptom duration. We also developed a symptom profile for PASC based on a common data standard. We identified four phenotypes based on COVID-19 severity (mild vs. moderate/severe) and duration of PASC symptoms (subacute vs. chronic). The symptoms groups with the highest frequency among phenotypes were cardiovascular and neuropsychiatric with each phenotype characterized by a different set of symptoms.
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Affiliation(s)
- Sarah Pungitore
- Program in Applied Mathematics, The University of Arizona, Tucson, AZ
| | | | - Jarrod Mosier
- College of Medicine - Tucson, The University of Arizona, Tucson, AZ
| | - Vignesh Subbian
- College of Engineering, The University of Arizona, Tucson, AZ
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16
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Gargano MA, Matentzoglu N, Coleman B, Addo-Lartey EB, Anagnostopoulos A, Anderton J, Avillach P, Bagley AM, Bakštein E, Balhoff JP, Baynam G, Bello SM, Berk M, Bertram H, Bishop S, Blau H, Bodenstein DF, Botas P, Boztug K, Čady J, Callahan TJ, Cameron R, Carbon S, Castellanos F, Caufield JH, Chan LE, Chute C, Cruz-Rojo J, Dahan-Oliel N, Davids JR, de Dieuleveult M, de Souza V, de Vries BBA, de Vries E, DePaulo JR, Derfalvi B, Dhombres F, Diaz-Byrd C, Dingemans AJM, Donadille B, Duyzend M, Elfeky R, Essaid S, Fabrizzi C, Fico G, Firth HV, Freudenberg-Hua Y, Fullerton JM, Gabriel DL, Gilmour K, Giordano J, Goes FS, Moses RG, Green I, Griese M, Groza T, Gu W, Guthrie J, Gyori B, Hamosh A, Hanauer M, Hanušová K, He Y(O, Hegde H, Helbig I, Holasová K, Hoyt CT, Huang S, Hurwitz E, Jacobsen JOB, Jiang X, Joseph L, Keramatian K, King B, Knoflach K, Koolen DA, Kraus M, Kroll C, Kusters M, Ladewig MS, Lagorce D, Lai MC, Lapunzina P, Laraway B, Lewis-Smith D, Li X, Lucano C, Majd M, Marazita ML, Martinez-Glez V, McHenry TH, McInnis MG, McMurry JA, Mihulová M, Millett CE, Mitchell PB, Moslerová V, Narutomi K, Nematollahi S, Nevado J, Nierenberg AA, Čajbiková NN, Nurnberger JI, Ogishima S, Olson D, Ortiz A, Pachajoa H, Perez de Nanclares G, Peters A, Putman T, Rapp CK, Rath A, Reese J, Rekerle L, Roberts A, Roy S, Sanders SJ, Schuetz C, Schulte EC, Schulze TG, Schwarz M, Scott K, Seelow D, Seitz B, Shen Y, Similuk MN, Simon ES, Singh B, Smedley D, Smith CL, Smolinsky JT, Sperry S, Stafford E, Stefancsik R, Steinhaus R, Strawbridge R, Sundaramurthi JC, Talapova P, Tenorio Castano JA, Tesner P, Thomas RH, Thurm A, Turnovec M, van Gijn ME, Vasilevsky NA, Vlčková M, Walden A, Wang K, Wapner R, Ware JS, Wiafe AA, Wiafe SA, Wiggins LD, Williams AE, Wu C, Wyrwoll MJ, Xiong H, Yalin N, Yamamoto Y, Yatham LN, Yocum AK, Young AH, Yüksel Z, Zandi PP, Zankl A, Zarante I, Zvolský M, Toro S, Carmody LC, Harris NL, Munoz-Torres MC, Danis D, Mungall CJ, Köhler S, Haendel MA, Robinson PN. The Human Phenotype Ontology in 2024: phenotypes around the world. Nucleic Acids Res 2024; 52:D1333-D1346. [PMID: 37953324 PMCID: PMC10767975 DOI: 10.1093/nar/gkad1005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/12/2023] [Accepted: 10/19/2023] [Indexed: 11/14/2023] Open
Abstract
The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.
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Affiliation(s)
| | | | - Ben Coleman
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | | | - Joel Anderton
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Anita M Bagley
- Shriners Children's Northern California, Sacramento, CA, USA
| | - Eduard Bakštein
- National Institute of Mental Health, Klecany, Czech Republic
| | - James P Balhoff
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC 27517, USA
| | - Gareth Baynam
- Rare Care Centre, Perth Children's Hospital, Perth, Australia
| | | | - Michael Berk
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
| | - Holli Bertram
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Somer Bishop
- Department of Psychiatry and Behavioral Sciences, UCSF Weil Institute for Neuroscience, San Francisco, CA, USA
| | - Hannah Blau
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - David F Bodenstein
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | | | - Kaan Boztug
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Jolana Čady
- Institute of Health Information and Statistics of the Czech Republic, Prague, Czech Republic
| | - Tiffany J Callahan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, NY, NY, USA
| | | | - Seth J Carbon
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | | | - J Harry Caufield
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Lauren E Chan
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Christopher G Chute
- Schools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Jaime Cruz-Rojo
- UDISGEN (Dysmorphology and Genetics Unit), 12 de Octubre Hospital, Madrid, Spain
| | - Noémi Dahan-Oliel
- Department of Clinical Research, Shriners Hospitals for Children, Montreal, Quebec, Canada
| | - Jon R Davids
- Shriners Children's Northern California, Sacramento, CA, USA
| | - Maud de Dieuleveult
- Département I&D, AP-HP, Banque Nationale de Données Maladies Rares, Paris, France
| | - Vinicius de Souza
- European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Bert B A de Vries
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - J Raymond DePaulo
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Beata Derfalvi
- Department of Pediatrics, Dalhousie University, Halifax, NS, Canada
| | - Ferdinand Dhombres
- Fetal Medicine Department, Armand Trousseau Hospital, Sorbonne University, GRC26, INSERM, Limics, Paris, France
| | - Claudia Diaz-Byrd
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Alexander J M Dingemans
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Bruno Donadille
- St Antoine Hospital, Reference Center for Rare Growth Endocrine Disorders, Sorbonne University, AP-HP, INSERM, US14 - Orphanet, Plateforme Maladies Rares, Paris, France
| | | | - Reem Elfeky
- Department of Immunology, GOS Hospital for Children NHS Foundation Trust, University College London, London, UK
| | - Shahim Essaid
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | | | - Giovanna Fico
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Helen V Firth
- Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge, UK
| | - Yun Freudenberg-Hua
- Department of Psychiatry, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | | | - Davera L Gabriel
- School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | | | - Jessica Giordano
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Rachel Gore Moses
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ian Green
- SNOMED International, London W2 6BD, UK
| | - Matthias Griese
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, German center for Lung research (DZL), Munich, Germany
| | - Tudor Groza
- Rare Care Centre, Perth Children's Hospital, Perth, Australia
| | | | - Julia Guthrie
- Department of Structural and Computational Biology, University of Vienna; Max Perutz Labs, Vienna, Austria
| | - Benjamin Gyori
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Ada Hamosh
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Marc Hanauer
- INSERM, US14 - Orphanet, Plateforme Maladies Rares, Paris, France
| | - Kateřina Hanušová
- Institute of Health Information and Statistics of the Czech Republic, Prague, Czech Republic
| | | | - Harshad Hegde
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Ingo Helbig
- Neurology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kateřina Holasová
- Institute of Health Information and Statistics of the Czech Republic, Prague, Czech Republic
| | - Charles Tapley Hoyt
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | | | - Eric Hurwitz
- University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Julius O B Jacobsen
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | | | - Lisa Joseph
- Neurodevelopmental and Behavioral Phenotyping Service, National Institute of Mental Health, Bethesda, MD, USA
| | - Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Bryan King
- Department of Psychiatry and Behavioral Sciences, UCSF Weil Institute for Neuroscience, San Francisco, CA, USA
| | - Katrin Knoflach
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, German center for Lung research (DZL), Munich, Germany
| | - David A Koolen
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Megan L Kraus
- University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Carlo Kroll
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Maaike Kusters
- Immunology, NIHR Great Ormond Street Hospital BRC, London, UK
| | - Markus S Ladewig
- Department of Ophthalmology, University Clinic Marburg - Campus Fulda, Fulda, Germany
| | - David Lagorce
- INSERM, US14 - Orphanet, Plateforme Maladies Rares, Paris, France
| | - Meng-Chuan Lai
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Pablo Lapunzina
- Institute of Medical and Molecular Genetics, Hospital Univ. La Paz, Madrid, Spain
| | - Bryan Laraway
- University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - David Lewis-Smith
- Translational and Clinical Research Institute, Henry Wellcome Building, Framlington Place, Newcastle University, Newcastle-Upon-Tyne NE14LP, UK
| | | | - Caterina Lucano
- INSERM, US14 - Orphanet, Plateforme Maladies Rares, Paris, France
| | - Marzieh Majd
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mary L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Victor Martinez-Glez
- Center for Genomic Medicine, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Sabadell, Spain
| | - Toby H McHenry
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Julie A McMurry
- University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Michaela Mihulová
- Department of Biology and Medical Genetics, 2nd Medical Faculty of Charles University and University Hospital Motol, Prague, Czech Republic
| | - Caitlin E Millett
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Philip B Mitchell
- Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Sydney, NSW, Australia
| | - Veronika Moslerová
- Department of Biology and Medical Genetics, 2nd Medical Faculty of Charles University and University Hospital Motol, Prague, Czech Republic
| | - Kenji Narutomi
- Okinawa Prefectural Nanbu Medical Center & Children's Medical Center
| | - Shahrzad Nematollahi
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Julian Nevado
- Institute of Medical and Molecular Genetics, Hospital Univ. La Paz, Madrid, Spain
| | - Andrew A Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, USA
| | - Nikola Novák Čajbiková
- Department of Biology and Medical Genetics, 2nd Medical Faculty of Charles University and University Hospital Motol, Prague, Czech Republic
| | - John I Nurnberger
- Stark Neurosciences Research Institute, Departments of Psychiatry and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Daniel Olson
- Data Collaboration Center, Data Science, Critical Path Institute, Tucson, AZ, USA
| | - Abigail Ortiz
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Harry Pachajoa
- Centro de Investigaciones en Anomalías Congénitas y Enfermedades Raras (CIACER), Universidad Icesi, Cali, Colombia
| | - Guiomar Perez de Nanclares
- Molecular (epi) genetics lab, Bioaraba Health Research Institute, Araba University Hospital, Vitoria-Gasteiz, Spain
| | - Amy Peters
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Tim Putman
- University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Christina K Rapp
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, German center for Lung research (DZL), Munich, Germany
| | - Ana Rath
- INSERM, US14 - Orphanet, Plateforme Maladies Rares, Paris, France
| | - Justin Reese
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Lauren Rekerle
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Angharad M Roberts
- National Heart & Lung Institute & MRC London Institute of Medical Sciences, Imperial College London, London W12 0HS, UK
| | - Suzy Roy
- SNOMED International, London W2 6BD, UK
| | - Stephan J Sanders
- Department of Paediatrics, Institute of Developmental and Regenerative Medicine, University of Oxford, Oxford, UK
| | - Catharina Schuetz
- Universitätsklinikum Carl Gustav Carus, Medizinische Fakultät, TU, Dresden, Germany
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Thomas G Schulze
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Martin Schwarz
- Department of Biology and Medical Genetics, 2nd Medical Faculty of Charles University and University Hospital Motol, Prague, Czech Republic
| | - Katie Scott
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Dominik Seelow
- Exploratory Diagnostic Sciences, Berliner Institut für Gesundheitsforschung - Charité, Berlin, Germany
| | - Berthold Seitz
- Department of Ophthalmology, Saarland University Medical Center UKS, Homburg/Saar, Germany
| | | | - Morgan N Similuk
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Eric S Simon
- Eisenberg Family Depression Center, University of Michigan, Ann Arbor, MI, USA
| | - Balwinder Singh
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Damian Smedley
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | | | - Jake T Smolinsky
- Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | - Sarah Sperry
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | | | - Ray Stefancsik
- European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Robin Steinhaus
- Exploratory Diagnostic Sciences, Berliner Institut für Gesundheitsforschung - Charité, Berlin, Germany
| | - Rebecca Strawbridge
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | | | - Polina Talapova
- Institute for Research and Health Policy Studies, Tufts Medicine, Boston, MA 2111, USA
| | | | - Pavel Tesner
- Department of Biology and Medical Genetics, 2nd Medical Faculty of Charles University and University Hospital Motol, Prague, Czech Republic
| | - Rhys H Thomas
- Translational and Clinical Research Institute, Henry Wellcome Building, Framlington Place, Newcastle University, Newcastle-Upon-Tyne NE14LP, UK
| | - Audrey Thurm
- Neurodevelopmental and Behavioral Phenotyping Service, National Institute of Mental Health, Bethesda, MD, USA
| | - Marek Turnovec
- Department of Biology and Medical Genetics, 2nd Medical Faculty of Charles University and University Hospital Motol, Prague, Czech Republic
| | - Marielle E van Gijn
- Department of Genetics, University Medical Center Groningen, Groningen, Netherlands
| | | | - Markéta Vlčková
- Department of Biology and Medical Genetics, 2nd Medical Faculty of Charles University and University Hospital Motol, Prague, Czech Republic
| | - Anita Walden
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Kai Wang
- Chinese HPO Consortium, Beijing, China
| | - Ron Wapner
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
| | - James S Ware
- National Heart & Lung Institute & MRC London Institute of Medical Sciences, Imperial College London, London W12 0HS, UK
| | | | | | - Lisa D Wiggins
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Andrew E Williams
- Institute for Research and Health Policy Studies, Tufts Medicine, Boston, MA 2111, USA
| | - Chen Wu
- Chinese HPO Consortium, Beijing, China
| | - Margot J Wyrwoll
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, Institute for Stem Cell Research, University of Edinburgh, Edinburgh, UK
| | - Hui Xiong
- Chinese HPO Consortium, Beijing, China
| | - Nefize Yalin
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Yasunori Yamamoto
- Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Japan
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Anastasia K Yocum
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Allan H Young
- Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London & South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, London SE5 8AF, UK
| | - Zafer Yüksel
- Department of Human Genetics, Bioscientia Healthcare GmbH, Ingelheim, Germany
| | - Peter P Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Andreas Zankl
- Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - Ignacio Zarante
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Miroslav Zvolský
- Institute of Health Information and Statistics of the Czech Republic, Prague, Czech Republic
| | - Sabrina Toro
- University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Leigh C Carmody
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Nomi L Harris
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Monica C Munoz-Torres
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Daniel Danis
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Christopher J Mungall
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | | | - Melissa A Haendel
- University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Peter N Robinson
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
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Thurgur H, Lynskey M, Schlag AK, Croser C, Nutt DJ, Iveson E. Feasibility of a cannabidiol-dominant cannabis-based medicinal product for the treatment of long COVID symptoms: A single-arm open-label feasibility trial. Br J Clin Pharmacol 2023. [PMID: 38105651 DOI: 10.1111/bcp.15988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 11/10/2023] [Accepted: 12/07/2023] [Indexed: 12/19/2023] Open
Abstract
AIMS To conduct a single-arm open-label feasibility trial of the safety and tolerability of a full-spectrum cannabidiol (CBD)-dominant cannabis-based medicinal product for treating the symptoms of long COVID. METHODS The treatment phase ran for a total of 21 weeks, followed by ~3 weeks without the study drug. Participants received up to 3 mL of MediCabilis 5% CBD Oil (50 mg CBD/mL, <2 mg δ-9-tetrahydrocannabinol/mL) per day orally. Monthly patient-reported outcome measures of common symptoms and daily self-report of symptoms were collected via a smartphone app. Key measures of heart rate, activity, sleep and oxygen saturation were assessed using wearable technology. RESULTS Twelve (1 male, 11 female) individuals diagnosed with long COVID were recruited into the trial. All participants adhered to the treatment protocol for the duration of the study and there were no serious adverse events. Response rates for the research assessments were high with over 90% completion of patient-reported outcome measures and daily self-report. CONCLUSION The study drug was safe and well-tolerated, demonstrating feasibility of CBD-dominant cannabis-based medicinal products in individuals diagnosed with long COVID. However, there were limitations in research design related to recruitment strategy demonstrating a lack of feasibility in the approach implemented in this study. Future work with larger samples and incorporating a control group are required to test the efficacy of this treatment.
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Affiliation(s)
| | | | - Anne Katrin Schlag
- Drug Science, London, UK
- Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, UK
| | | | - David John Nutt
- Drug Science, London, UK
- Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, UK
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Ailioaie LM, Ailioaie C, Litscher G. Gut Microbiota and Mitochondria: Health and Pathophysiological Aspects of Long COVID. Int J Mol Sci 2023; 24:17198. [PMID: 38139027 PMCID: PMC10743487 DOI: 10.3390/ijms242417198] [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: 10/31/2023] [Revised: 11/30/2023] [Accepted: 12/03/2023] [Indexed: 12/24/2023] Open
Abstract
The current understanding of long COVID (LC) is still limited. This review highlights key findings regarding the role of gut microbiota, mitochondria, and the main pathophysiological aspects of LC revealed by clinical studies, related to the complex interplay between infection, intestinal dysbiosis, dysfunctional mitochondria, and systemic inflammation generated in a vicious circle, reflecting the molecular and cellular processes from the "leaky gut" to the "leaky electron transport chain (ETC)" into a quantum leap. The heterogeneity of LC has hindered progress in deciphering all the pathophysiological mechanisms, and therefore, the approach must be multidisciplinary, with a special focus not only on symptomatic management but also on addressing the underlying health problems of the patients. It is imperative to further assess and validate the effects of COVID-19 and LC on the gut microbiome and their relationship to infections with other viral agents or pathogens. Further studies are needed to better understand LC and expand the interdisciplinary points of view that are required to accurately diagnose and effectively treat this heterogeneous condition. Given the ability of SARS-CoV-2 to induce autoimmunity in susceptible patients, they should be monitored for symptoms of autoimmune disease after contracting the viral infection. One question remains open, namely, whether the various vaccines developed to end the pandemic will also induce autoimmunity. Recent data highlighted in this review have revealed that the persistence of SARS-CoV-2 and dysfunctional mitochondria in organs such as the heart and, to a lesser extent, the kidneys, liver, and lymph nodes, long after the organism has been able to clear the virus from the lungs, could be an explanation for LC.
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Affiliation(s)
- Laura Marinela Ailioaie
- Department of Medical Physics, Alexandru Ioan Cuza University, 11 Carol I Boulevard, 700506 Iasi, Romania; (L.M.A.); (C.A.)
| | - Constantin Ailioaie
- Department of Medical Physics, Alexandru Ioan Cuza University, 11 Carol I Boulevard, 700506 Iasi, Romania; (L.M.A.); (C.A.)
| | - Gerhard Litscher
- President of the International Society for Medical Laser Applications (ISLA Transcontinental), German Vice President of the German-Chinese Research Foundation (DCFG) for TCM, Honorary President of the European Federation of Acupuncture and Moxibustion Societies, Honorary Professor of China Beijing International Acupuncture Training Center, China Academy of Chinese Medical Sciences, Former Head of Two Research Units and the TCM Research Center at the Medical University of Graz, Auenbruggerplatz, 8036 Graz, Austria
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19
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Weakley KE, Schikler A, Green JV, Blatt DB, Barton SM, Statler VA, Feygin Y, Marshall GS. Clinical Features and Follow-up of Referred Children and Young People With Long COVID. Pediatr Infect Dis J 2023; 42:1093-1099. [PMID: 37773635 DOI: 10.1097/inf.0000000000004081] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/01/2023]
Abstract
BACKGROUND Patient-level data on the clinical features and outcomes of children and young people referred for possible long coronavirus disease (COVID) can guide clinicians on what to expect in managing patients and advising families. METHODS A Post-Acute COVID Clinic for persons <21 years of age was established in October 2020. Intake was standardized and management was tailored to presenting symptoms. Data were abstracted from the charts of all patients evaluated through December 2021, and the study cohort consisted of patients who had a history of confirmed severe acute respiratory syndrome coronavirus 2 infection, had ≥1 symptom persisting for ≥12 weeks and had no pre-existing diagnosis that explained the symptoms. A structured follow-up interview was conducted in early 2022. RESULTS A total of 104 patients were referred, 81 of whom met inclusion criteria. The median age was 14 years (interquartile range, 13-16), and most were female, White/Caucasian and had commercial health insurance. Patients reported previously good health but over half reported moderate-to-severe disability at their first visit. Two clusters of presenting symptoms-fatigue with multiple symptoms, and fatigue and headache with cardiopulmonary symptoms-were identified. Extensive routine testing did not affirm alternative diagnoses. Incident conditions-most commonly anxiety, depression and/or panic disorder; migraines; and autonomic dysfunction-were diagnosed on clinical grounds. Telephone interviews (N = 55) revealed that 78% of patients were improved by about 6 months. CONCLUSIONS Within the limits of a single-center, referral-based, observational cohort, this study provides reassurance to patients and parents in that most cases of long COVID were self-limited. Extensive evaluations may be more useful in ruling out alternative diagnoses than in affirming specific physiologic disturbances.
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Affiliation(s)
- Kathryn E Weakley
- From the Norton Children's, Louisville, KY
- Department of Pediatrics
- University of Louisville School of Medicine, Louisville, KY
| | | | - Julianne V Green
- From the Norton Children's, Louisville, KY
- Department of Pediatrics
- University of Louisville School of Medicine, Louisville, KY
| | - Daniel B Blatt
- From the Norton Children's, Louisville, KY
- Department of Pediatrics
- University of Louisville School of Medicine, Louisville, KY
| | - Shanna M Barton
- From the Norton Children's, Louisville, KY
- Department of Pediatrics
- University of Louisville School of Medicine, Louisville, KY
| | - Victoria A Statler
- From the Norton Children's, Louisville, KY
- Department of Pediatrics
- University of Louisville School of Medicine, Louisville, KY
| | - Yana Feygin
- Department of Pediatrics
- University of Louisville School of Medicine, Louisville, KY
| | - Gary S Marshall
- From the Norton Children's, Louisville, KY
- Department of Pediatrics
- University of Louisville School of Medicine, Louisville, KY
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Albright C, Limoges J, Rempel GR. Living with pulmonary sequelae of COVID-19 and the implications for clinical nursing practice: A qualitative systematised review. J Clin Nurs 2023; 32:7650-7660. [PMID: 36855220 DOI: 10.1111/jocn.16664] [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: 08/30/2022] [Revised: 01/21/2023] [Accepted: 02/09/2023] [Indexed: 03/02/2023]
Abstract
AIM To synthesise qualitative research on pulmonary sequelae of COVID-19 and identify patient needs and experiences to develop nursing care strategies. BACKGROUND Qualitative research on long COVID by subtype has not yet occurred. As pulmonary sequelae constitute a serious long COVID subtype, exploring patient experience and needs can generate knowledge to guide nursing practice. DESIGN Systematised review methodology utilised on a purposive sample of published articles and reported using the PRISMA guidelines and checklists. Searched MEDLINE, Cumulative Index to Nursing and Allied Health, and Google Scholar, for English or French articles published from February 2020 to June 2022; qualitative research with adults recovering from COVID-19 with evidence of pulmonary sequelae. METHODS Established principles for data extraction followed related to data reduction, data presentation, data comparison, and conclusion formulation and verification. Analysis was informed by Thorne's Interpretive Description and extended with Meleis' transitions theory, Mishel's uncertainty in illness theory and Moore et al.'s holistic theory of unpleasant symptoms. The quality of included studies was assessed Joanna Briggs Institute critical appraisal tool for qualitative research. RESULTS Four articles with six pooled participants provided data to yield three main themes: (1) a novel health-illness transition, (2) lung injury and pulmonary fibrosis as antecedent to illness uncertainty, (3) and pulmonary symptoms that are compounded by fatigue and weakness. CONCLUSION Pulmonary sequelae of COVID-19 confers a unique health-illness transition, uncertainties and symptoms that can be addressed by theory informed nursing practice. RELEVANCE TO CLINICAL PRACTICE Advocacy, optimising the nurse-patient relationship, offering up-to-date information and addressing uncertainty may help patients cope with pulmonary sequelae, a complex subtype of long COVID with important considerations for clinical nursing care. Despite a lack of evidence-informed clinical pathways, nurses can support patients to understand novel treatments, support discharge planning and acknowledge the synergistic nature of pulmonary symptoms and fatigue to support health-illness transitions. NO PATIENT OR PUBLIC CONTRIBUTION This article involved analysis of previously published works.
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Affiliation(s)
- Cameron Albright
- Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada
| | - Jacqueline Limoges
- Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada
| | - Gwen R Rempel
- Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada
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Li J, Zhou Y, Ma J, Zhang Q, Shao J, Liang S, Yu Y, Li W, Wang C. The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID. Signal Transduct Target Ther 2023; 8:416. [PMID: 37907497 PMCID: PMC10618229 DOI: 10.1038/s41392-023-01640-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 08/04/2023] [Accepted: 09/04/2023] [Indexed: 11/02/2023] Open
Abstract
There have been hundreds of millions of cases of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With the growing population of recovered patients, it is crucial to understand the long-term consequences of the disease and management strategies. Although COVID-19 was initially considered an acute respiratory illness, recent evidence suggests that manifestations including but not limited to those of the cardiovascular, respiratory, neuropsychiatric, gastrointestinal, reproductive, and musculoskeletal systems may persist long after the acute phase. These persistent manifestations, also referred to as long COVID, could impact all patients with COVID-19 across the full spectrum of illness severity. Herein, we comprehensively review the current literature on long COVID, highlighting its epidemiological understanding, the impact of vaccinations, organ-specific sequelae, pathophysiological mechanisms, and multidisciplinary management strategies. In addition, the impact of psychological and psychosomatic factors is also underscored. Despite these crucial findings on long COVID, the current diagnostic and therapeutic strategies based on previous experience and pilot studies remain inadequate, and well-designed clinical trials should be prioritized to validate existing hypotheses. Thus, we propose the primary challenges concerning biological knowledge gaps and efficient remedies as well as discuss the corresponding recommendations.
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Affiliation(s)
- Jingwei Li
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yun Zhou
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Jiechao Ma
- AI Lab, Deepwise Healthcare, Beijing, China
| | - Qin Zhang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
- Department of Postgraduate Student, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China
| | - Jun Shao
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Shufan Liang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yizhou Yu
- Department of Computer Science, The University of Hong Kong, Hong Kong, China.
| | - Weimin Li
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
| | - Chengdi Wang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Med-X Center for Manufacturing, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
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22
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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [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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23
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Vivaldi G, Pfeffer PE, Talaei M, Basera TJ, Shaheen SO, Martineau AR. Long-term symptom profiles after COVID-19 vs other acute respiratory infections: an analysis of data from the COVIDENCE UK study. EClinicalMedicine 2023; 65:102251. [PMID: 38106559 PMCID: PMC10721552 DOI: 10.1016/j.eclinm.2023.102251] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/04/2023] [Accepted: 09/15/2023] [Indexed: 12/19/2023] Open
Abstract
Background Long COVID is a well recognised, if heterogeneous, entity. Acute respiratory infections (ARIs) due to other pathogens may cause long-term symptoms, but few studies compare post-acute sequelae between SARS-CoV-2 and other ARIs. We aimed to compare symptom profiles between people with previous SARS-CoV-2 infection, people with previous non-COVID-19 ARIs, and contemporaneous controls, and to identify clusters of long-term symptoms. Methods COVIDENCE UK is a prospective, population-based UK study of ARIs in adults. We analysed data for 16 potential long COVID symptoms and health-related quality of life (HRQoL), reported between January 21 and February 15, 2021, by participants unvaccinated against SARS-CoV-2. We classified participants as having previous SARS-CoV-2 infection or previous non-COVID-19 ARI (≥4 weeks prior) or no reported ARI. We compared symptoms by infection status using logistic and fractional regression, and identified symptom clusters using latent class analysis (LCA). This study is registered with ClinicalTrials.gov, NCT04330599. Findings We included 10,171 participants (1311 [12.9%] with SARS-CoV-2 infection, 472 [4.6%] with non-COVID-19 ARI). Both types of infection were associated with increased prevalence/severity of most symptoms and decreased HRQoL compared with no infection. Participants with SARS-CoV-2 infection had increased odds of problems with taste/smell (odds ratio 19.74, 95% CI 10.53-37.00) and lightheadedness or dizziness (1.74, 1.18-2.56) compared with participants with non-COVID-19 ARIs. Separate LCA models identified three symptom severity groups for each infection type. In the most severe groups (representing 22% of participants for both SARS-CoV-2 and non-COVID-19 ARI), SARS-CoV-2 infection presented with a higher probability of problems with taste/smell (probability 0.41 vs 0.04), hair loss (0.25 vs 0.16), unusual sweating (0.38 vs 0.25), unusual racing of the heart (0.43 vs 0.33), and memory problems (0.70 vs 0.55) than non-COVID-19 ARI. Interpretation Both SARS-CoV-2 and non-COVID-19 ARIs are associated with a wide range of symptoms more than 4 weeks after the acute infection. Research on post-acute sequelae of ARIs should extend from SARS-CoV-2 to include other pathogens. Funding Barts Charity.
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Affiliation(s)
- Giulia Vivaldi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Paul E. Pfeffer
- Barts Health NHS Trust, London, UK
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Mohammad Talaei
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Tariro Jayson Basera
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Seif O. Shaheen
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Adrian R. Martineau
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Asthma UK Centre for Applied Research, Queen Mary University of London, London, UK
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Altmann DM, Whettlock EM, Liu S, Arachchillage DJ, Boyton RJ. The immunology of long COVID. Nat Rev Immunol 2023; 23:618-634. [PMID: 37433988 DOI: 10.1038/s41577-023-00904-7] [Citation(s) in RCA: 53] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/02/2023] [Indexed: 07/13/2023]
Abstract
Long COVID is the patient-coined term for the disease entity whereby persistent symptoms ensue in a significant proportion of those who have had COVID-19, whether asymptomatic, mild or severe. Estimated numbers vary but the assumption is that, of all those who had COVID-19 globally, at least 10% have long COVID. The disease burden spans from mild symptoms to profound disability, the scale making this a huge, new health-care challenge. Long COVID will likely be stratified into several more or less discrete entities with potentially distinct pathogenic pathways. The evolving symptom list is extensive, multi-organ, multisystem and relapsing-remitting, including fatigue, breathlessness, neurocognitive effects and dysautonomia. A range of radiological abnormalities in the olfactory bulb, brain, heart, lung and other sites have been observed in individuals with long COVID. Some body sites indicate the presence of microclots; these and other blood markers of hypercoagulation implicate a likely role of endothelial activation and clotting abnormalities. Diverse auto-antibody (AAB) specificities have been found, as yet without a clear consensus or correlation with symptom clusters. There is support for a role of persistent SARS-CoV-2 reservoirs and/or an effect of Epstein-Barr virus reactivation, and evidence from immune subset changes for broad immune perturbation. Thus, the current picture is one of convergence towards a map of an immunopathogenic aetiology of long COVID, though as yet with insufficient data for a mechanistic synthesis or to fully inform therapeutic pathways.
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Affiliation(s)
- Daniel M Altmann
- Department of Immunology and Inflammation, Imperial College London, Hammersmith Hospital, London, UK.
| | - Emily M Whettlock
- Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, UK
| | - Siyi Liu
- Department of Immunology and Inflammation, Imperial College London, Hammersmith Hospital, London, UK
- Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, UK
| | - Deepa J Arachchillage
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, Hammersmith Hospital, London, UK
- Department of Haematology, Imperial College Healthcare NHS Trust, London, UK
| | - Rosemary J Boyton
- Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, UK
- Lung Division, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
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25
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Antony B, Blau H, Casiraghi E, Loomba JJ, Callahan TJ, Laraway BJ, Wilkins KJ, Antonescu CC, Valentini G, Williams AE, Robinson PN, Reese JT, Murali TM. Predictive models of long COVID. EBioMedicine 2023; 96:104777. [PMID: 37672869 PMCID: PMC10494314 DOI: 10.1016/j.ebiom.2023.104777] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 07/24/2023] [Accepted: 08/15/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND The cause and symptoms of long COVID are poorly understood. It is challenging to predict whether a given COVID-19 patient will develop long COVID in the future. METHODS We used electronic health record (EHR) data from the National COVID Cohort Collaborative to predict the incidence of long COVID. We trained two machine learning (ML) models - logistic regression (LR) and random forest (RF). Features used to train predictors included symptoms and drugs ordered during acute infection, measures of COVID-19 treatment, pre-COVID comorbidities, and demographic information. We assigned the 'long COVID' label to patients diagnosed with the U09.9 ICD10-CM code. The cohorts included patients with (a) EHRs reported from data partners using U09.9 ICD10-CM code and (b) at least one EHR in each feature category. We analysed three cohorts: all patients (n = 2,190,579; diagnosed with long COVID = 17,036), inpatients (149,319; 3,295), and outpatients (2,041,260; 13,741). FINDINGS LR and RF models yielded median AUROC of 0.76 and 0.75, respectively. Ablation study revealed that drugs had the highest influence on the prediction task. The SHAP method identified age, gender, cough, fatigue, albuterol, obesity, diabetes, and chronic lung disease as explanatory features. Models trained on data from one N3C partner and tested on data from the other partners had average AUROC of 0.75. INTERPRETATION ML-based classification using EHR information from the acute infection period is effective in predicting long COVID. SHAP methods identified important features for prediction. Cross-site analysis demonstrated the generalizability of the proposed methodology. FUNDING NCATS U24 TR002306, NCATS UL1 TR003015, Axle Informatics Subcontract: NCATS-P00438-B, NIH/NIDDK/OD, PSR2015-1720GVALE_01, G43C22001320007, and Director, Office of Science, Office of Basic Energy Sciences of the U.S. Department of Energy Contract No. DE-AC02-05CH11231.
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Affiliation(s)
- Blessy Antony
- Department of Computer Science, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA, 24061, USA
| | - Hannah Blau
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA
| | - Elena Casiraghi
- AnacletoLab, Computer Science Department, Dipartimento di Informatica, Università degli Studi di Milano, Milan, 20133, Italy; Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA; ELLIS - European Laboratory for Learning and Intelligent Systems, Milan Unit, Milan, 20133, Italy
| | - Johanna J Loomba
- Integrated Translational Health Research Institute of Virginia, University of Virginia, Charlottesville, VA, 22904, USA
| | - Tiffany J Callahan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Bryan J Laraway
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Kenneth J Wilkins
- Biostatistics Program, Office of the Director, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20814, USA
| | | | - Giorgio Valentini
- AnacletoLab, Computer Science Department, Dipartimento di Informatica, Università degli Studi di Milano, Milan, 20133, Italy; ELLIS - European Laboratory for Learning and Intelligent Systems, Milan Unit, Milan, 20133, Italy
| | - Andrew E Williams
- Institute for Clinical Research and Health Policy Studies, Tufts University School of Medicine, Boston, MA, 02111, USA
| | - Peter N Robinson
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA; Institute for Systems Genomics, University of Connecticut, Farmington, CT, 06269, USA
| | - Justin T Reese
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - T M Murali
- Department of Computer Science, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA, 24061, USA.
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Shah AD, Subramanian A, Lewis J, Dhalla S, Ford E, Haroon S, Kuan V, Nirantharakumar K. Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database. PLoS One 2023; 18:e0290583. [PMID: 37751444 PMCID: PMC10521988 DOI: 10.1371/journal.pone.0290583] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/11/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Long Covid is a widely recognised consequence of COVID-19 infection, but little is known about the burden of symptoms that patients present with in primary care, as these are typically recorded only in free text clinical notes. AIMS To compare symptoms in patients with and without a history of COVID-19, and investigate symptoms associated with a Long Covid diagnosis. METHODS We used primary care electronic health record data until the end of December 2020 from The Health Improvement Network (THIN), a Cegedim database. We included adults registered with participating practices in England, Scotland or Wales. We extracted information about 89 symptoms and 'Long Covid' diagnoses from free text using natural language processing. We calculated hazard ratios (adjusted for age, sex, baseline medical conditions and prior symptoms) for each symptom from 12 weeks after the COVID-19 diagnosis. RESULTS We compared 11,015 patients with confirmed COVID-19 and 18,098 unexposed controls. Only 20% of symptom records were coded, with 80% in free text. A wide range of symptoms were associated with COVID-19 at least 12 weeks post-infection, with strongest associations for fatigue (adjusted hazard ratio (aHR) 3.46, 95% confidence interval (CI) 2.87, 4.17), shortness of breath (aHR 2.89, 95% CI 2.48, 3.36), palpitations (aHR 2.59, 95% CI 1.86, 3.60), and phlegm (aHR 2.43, 95% CI 1.65, 3.59). However, a limited subset of symptoms were recorded within 7 days prior to a Long Covid diagnosis in more than 20% of cases: shortness of breath, chest pain, pain, fatigue, cough, and anxiety / depression. CONCLUSIONS Numerous symptoms are reported to primary care at least 12 weeks after COVID-19 infection, but only a subset are commonly associated with a GP diagnosis of Long Covid.
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Affiliation(s)
- Anoop D. Shah
- Institute of Health Informatics, University College London, London, United Kingdom
- NIHR University College London Hospitals Biomedical Research Centre, University College London Hospitals NHS Trust, London, United Kingdom
| | - Anuradhaa Subramanian
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Jadene Lewis
- Institute of Health Informatics, University College London, London, United Kingdom
| | - Samir Dhalla
- The Health Improvement Network Ltd., London, United Kingdom
| | - Elizabeth Ford
- Brighton and Sussex Medical School, Brighton, United Kingdom
| | - Shamil Haroon
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Valerie Kuan
- Institute of Health Informatics, University College London, London, United Kingdom
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27
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Paira DA, Beltramone F, Olmedo JJ, Tissera AD, Molina RI, Fux-Otta C, Olivera C, Motrich RD. Persistent oligonecrozoospermia after asymptomatic SARS-CoV-2 infection. A case report and literature review. Heliyon 2023; 9:e20340. [PMID: 37809541 PMCID: PMC10560057 DOI: 10.1016/j.heliyon.2023.e20340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 09/13/2023] [Accepted: 09/19/2023] [Indexed: 10/10/2023] Open
Abstract
COVID-19 is known to have deleterious effects on different systems such as the respiratory, cardiovascular, central nervous, and gastrointestinal. However, conflicting data about the possible implications for male reproductive health and fertility have been reported. In addition, the long-term consequences of SARS-CoV-2 infection remain unclear. Herein, we report a case of a 42-year-old man with no known co-morbidities and normal baseline semen quality, who subsequently suffered an asymptomatic SARS-CoV-2 infection. Shortly after, the patient developed sudden oligoasthenozoospermia, even reaching azoospermia, which gradually evolved into persistent severe oligonecrozoospermia, accompanied by semen inflammation and oxidative stress. Remarkably, the latter occurred in the absence of urogenital infections, hormonal imbalances, tissue/organ obstruction/damage, medication or drug treatment, smoking, or exposure to toxins/pollutants, radiation, or high temperature. This case constitutes valuable clinical evidence that adds to the current knowledge in the field and highlights the need for further and longer follow-up studies to better understand the putative long-term consequences of SARS-CoV-2 infection on male fertility.
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Affiliation(s)
- Daniela Andrea Paira
- Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI-CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Fernando Beltramone
- OVUM- Centro de Medicina Reproductive, Fetal y Cirugía Ambulatoria, Córdoba, Argentina
| | - José Javier Olmedo
- Fundación Urológica Córdoba para la Docencia e Investigación Médica (FUCDIM), Córdoba, Argentina
| | | | | | - Carolina Fux-Otta
- Hospital Universitario de Maternidad y Neonatología, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Argentina
| | - Carolina Olivera
- Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI-CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Ruben Dario Motrich
- Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI-CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
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Kuodi P, Gorelik Y, Gausi B, Bernstine T, Edelstein M. Characterization of post-COVID syndromes by symptom cluster and time period up to 12 months post-infection: A systematic review and meta-analysis. Int J Infect Dis 2023; 134:1-7. [PMID: 37150350 DOI: 10.1016/j.ijid.2023.05.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/02/2023] [Accepted: 05/02/2023] [Indexed: 05/09/2023] Open
Abstract
OBJECTIVES The objective of this study was to characterize post-COVID condition symptoms and symptom clusters, their duration, and prevalence. METHODS We conducted a systematic review and random-effects meta-analysis of studies reporting post-COVID-19 symptoms and clusters, respectively. We searched MEDLINE (via PubMed), Scopus, Web of Science, Science Direct, Google Scholar, EBSCOhost, EMBASE, PsycINFO, Cochrane Library, and Mednar for literature reporting on the post-COVID condition up to August 2022. RESULTS In the 76 included studies, we found that although most symptoms were reported less frequently 7-12 months after infection compared to earlier, over 20% of patients reported at least one post-COVID condition-compatible symptom. In the seven studies reporting post-COVID symptom clusters, neurological clustering was consistently identified, followed by cardiorespiratory and systemic/inflammatory. CONCLUSION Post-COVID symptom clustering provides direction for research into the etiology, diagnosis, and management of post-COVID conditions. Studies reporting post-COVID symptom clusters remain rare due to the focus on individual symptom reporting. Studies on post-COVID symptom clusters should replace individual symptom reporting to accelerate our understanding of this emerging public health issue.
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Affiliation(s)
- Paul Kuodi
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.
| | - Yanay Gorelik
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Blessing Gausi
- School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Tomer Bernstine
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Michael Edelstein
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel; Ziv Medical Centre, Safed, Israel
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López-Hernández Y, Monárrez-Espino J, López DAG, Zheng J, Borrego JC, Torres-Calzada C, Elizalde-Díaz JP, Mandal R, Berjanskii M, Martínez-Martínez E, López JA, Wishart DS. The plasma metabolome of long COVID patients two years after infection. Sci Rep 2023; 13:12420. [PMID: 37528111 PMCID: PMC10394026 DOI: 10.1038/s41598-023-39049-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 07/19/2023] [Indexed: 08/03/2023] Open
Abstract
One of the major challenges currently faced by global health systems is the prolonged COVID-19 syndrome (also known as "long COVID") which has emerged as a consequence of the SARS-CoV-2 epidemic. It is estimated that at least 30% of patients who have had COVID-19 will develop long COVID. In this study, our goal was to assess the plasma metabolome in a total of 100 samples collected from healthy controls, COVID-19 patients, and long COVID patients recruited in Mexico between 2020 and 2022. A targeted metabolomics approach using a combination of LC-MS/MS and FIA MS/MS was performed to quantify 108 metabolites. IL-17 and leptin were measured in long COVID patients by immunoenzymatic assay. The comparison of paired COVID-19/long COVID-19 samples revealed 53 metabolites that were statistically different. Compared to controls, 27 metabolites remained dysregulated even after two years. Post-COVID-19 patients displayed a heterogeneous metabolic profile. Lactic acid, lactate/pyruvate ratio, ornithine/citrulline ratio, and arginine were identified as the most relevant metabolites for distinguishing patients with more complicated long COVID evolution. Additionally, IL-17 levels were significantly increased in these patients. Mitochondrial dysfunction, redox state imbalance, impaired energy metabolism, and chronic immune dysregulation are likely to be the main hallmarks of long COVID even two years after acute COVID-19 infection.
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Affiliation(s)
- Yamilé López-Hernández
- CONAHCyT-Metabolomics and Proteomics Laboratory, Academic Unit of Biological Sciences, Autonomous University of Zacatecas, 98000, Zacatecas, Mexico.
| | - Joel Monárrez-Espino
- Department of Health Research, Christus Muguerza del Parque Hospital - University of Monterrey, 31125, Chihuahua, Mexico
| | | | - Jiamin Zheng
- The Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Juan Carlos Borrego
- Departamento de Epidemiología, Hospital General de Zona #1 "Emilio Varela Luján", Instituto Mexicano del Seguro Social, Zacatecas, 98000, México
| | | | - José Pedro Elizalde-Díaz
- Laboratory of Cell Communication & Extracellular Vesicles, Division of Basic Science, Instituto Nacional de Medicina Genómica, 14610, Ciudad de México, Mexico
| | - Rupasri Mandal
- The Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Mark Berjanskii
- The Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Eduardo Martínez-Martínez
- Laboratory of Cell Communication & Extracellular Vesicles, Division of Basic Science, Instituto Nacional de Medicina Genómica, 14610, Ciudad de México, Mexico
| | - Jesús Adrián López
- MicroRNAs and Cancer Laboratory, Academic Unit of Biological Sciences, Autonomous University of Zacatecas, 98000, Zacatecas, Mexico
| | - David S Wishart
- The Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, T6G 1C9, Canada.
- Department of Biological Sciences, University of Alberta, Edmonton, AB, T6G 1C9, Canada.
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Martinez MS, Ferreyra FN, Paira DA, Rivero VE, Olmedo JJ, Tissera AD, Molina RI, Motrich RD. COVID-19 associates with semen inflammation and sperm quality impairment that reverses in the short term after disease recovery. Front Physiol 2023; 14:1220048. [PMID: 37497433 PMCID: PMC10366368 DOI: 10.3389/fphys.2023.1220048] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/03/2023] [Indexed: 07/28/2023] Open
Abstract
Introduction: COVID-19 exerts deleterious effects on the respiratory, cardiovascular, gastrointestinal, and central nervous systems, causing more severe disease in men than in women. However, cumulative reported data about the putative consequences on the male reproductive tract and fertility are controversial. Furthermore, the long-term effects of SARS-CoV-2 infection are still uncertain. Methods: In this study, we prospectively evaluated levels of inflammatory cytokines and leukocytes in semen and sperm quality parameters in a cohort of 231 reproductive-aged male patients, unvaccinated, who had recovered from mild or severe COVID-19 and in 62 healthy control individuals. Sperm quality was assessed early (less than 3 months) and long (more than 3 and up to 6 months) after having COVID-19. Interestingly, and unlike most reported studies, available extensive background and baseline data on patients' sperm quality allowed performing a more accurate analysis of COVID-19 effects on sperm quality. Results: Significantly higher levels of IL-1β, TNF and IFNγ were detected in semen from patients recently recovered from mild and/or severe COVID-19 with respect to control individuals indicating semen inflammation. Moreover, patients recovered from mild and/or severe COVID-19 showed significantly reduced semen volume, lower total sperm counts, and impaired sperm motility and viability. Interestingly, all observed alterations returned to baseline values after 3 or more months after disease recovery. Discussion: These results indicate that COVID-19 associates with semen inflammation and impaired semen quality early after disease. However, long COVID-19 seems not to include long-term detrimental consequences on male fertility potential since the observed alterations were reversible after 1-2 spermatogenesis cycles. These data constitute compelling evidence allowing a better understanding of COVID-19 associated sequelae, fundamental for semen collection in assisted reproduction.
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Affiliation(s)
- María Sol Martinez
- CIBICI-CONICET, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | | | - Daniela Andrea Paira
- CIBICI-CONICET, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Virginia Elena Rivero
- CIBICI-CONICET, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - José Javier Olmedo
- Fundación Urológica Córdoba para la Docencia e Investigación Médica (FUCDIM), Córdoba, Argentina
| | - Andrea Daniela Tissera
- Fundación Urológica Córdoba para la Docencia e Investigación Médica (FUCDIM), Córdoba, Argentina
| | - Rosa Isabel Molina
- Fundación Urológica Córdoba para la Docencia e Investigación Médica (FUCDIM), Córdoba, Argentina
| | - Rubén Darío Motrich
- CIBICI-CONICET, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
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Horwitz LI, Thaweethai T, Brosnahan SB, Cicek MS, Fitzgerald ML, Goldman JD, Hess R, Hodder SL, Jacoby VL, Jordan MR, Krishnan JA, Laiyemo AO, Metz TD, Nichols L, Patzer RE, Sekar A, Singer NG, Stiles LE, Taylor BS, Ahmed S, Algren HA, Anglin K, Aponte-Soto L, Ashktorab H, Bassett IV, Bedi B, Bhadelia N, Bime C, Bind MAC, Black LJ, Blomkalns AL, Brim H, Castro M, Chan J, Charney AW, Chen BK, Chen LQ, Chen P, Chestek D, Chibnik LB, Chow DC, Chu HY, Clifton RG, Collins S, Costantine MM, Cribbs SK, Deeks SG, Dickinson JD, Donohue SE, Durstenfeld MS, Emery IF, Erlandson KM, Facelli JC, Farah-Abraham R, Finn AV, Fischer MS, Flaherman VJ, Fleurimont J, Fonseca V, Gallagher EJ, Gander JC, Gennaro ML, Gibson KS, Go M, Goodman SN, Granger JP, Greenway FL, Hafner JW, Han JE, Harkins MS, Hauser KSP, Heath JR, Hernandez CR, Ho O, Hoffman MK, Hoover SE, Horowitz CR, Hsu H, Hsue PY, Hughes BL, Jagannathan P, James JA, John J, Jolley S, Judd SE, Juskowich JJ, Kanjilal DG, Karlson EW, Katz SD, Kelly JD, Kelly SW, Kim AY, Kirwan JP, Knox KS, Kumar A, Lamendola-Essel MF, Lanca M, Lee-lannotti JK, Lefebvre RC, Levy BD, Lin JY, Logarbo BP, Logue JK, Longo MT, Luciano CA, Lutrick K, Malakooti SK, Mallett G, Maranga G, Marathe JG, Marconi VC, Marshall GD, Martin CF, Martin JN, May HT, McComsey GA, McDonald D, Mendez-Figueroa H, Miele L, Mittleman MA, Mohandas S, Mouchati C, Mullington JM, Nadkarni GN, Nahin ER, Neuman RB, Newman LT, Nguyen A, Nikolich JZ, Ofotokun I, Ogbogu PU, Palatnik A, Palomares KTS, Parimon T, Parry S, Parthasarathy S, Patterson TF, Pearman A, Peluso MJ, Pemu P, Pettker CM, Plunkett BA, Pogreba-Brown K, Poppas A, Porterfield JZ, Quigley JG, Quinn DK, Raissy H, Rebello CJ, Reddy UM, Reece R, Reeder HT, Rischard FP, Rosas JM, Rosen CJ, Rouphael NG, Rouse DJ, Ruff AM, Saint Jean C, Sandoval GJ, Santana JL, Schlater SM, Sciurba FC, Selvaggi C, Seshadri S, Sesso HD, Shah DP, Shemesh E, Sherif ZA, Shinnick DJ, Simhan HN, Singh U, Sowles A, Subbian V, Sun J, Suthar MS, Teunis LJ, Thorp JM, Ticotsky A, Tita ATN, Tragus R, Tuttle KR, Urdaneta AE, Utz PJ, VanWagoner TM, Vasey A, Vernon SD, Vidal C, Walker T, Ward HD, Warren DE, Weeks RM, Weiner SJ, Weyer JC, Wheeler JL, Whiteheart SW, Wiley Z, Williams NJ, Wisnivesky JP, Wood JC, Yee LM, Young NM, Zisis SN, Foulkes AS. Researching COVID to Enhance Recovery (RECOVER) adult study protocol: Rationale, objectives, and design. PLoS One 2023; 18:e0286297. [PMID: 37352211 PMCID: PMC10289397 DOI: 10.1371/journal.pone.0286297] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 05/12/2023] [Indexed: 06/25/2023] Open
Abstract
IMPORTANCE SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis. METHODS RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged ≥18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility- and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross-validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms. DISCUSSION RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options. REGISTRATION NCT05172024.
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Affiliation(s)
- Leora I. Horwitz
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Tanayott Thaweethai
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Shari B. Brosnahan
- Division of Pulmonary Critical Care and Sleep Medicine, NYU Langone Health, New York, New York, United States of America
| | - Mine S. Cicek
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Megan L. Fitzgerald
- Patient Led Research Collaboration on COVID-19, Washington, DC, United States of America
| | - Jason D. Goldman
- Division of Infectious Diseases, Providence Swedish Medical Center, Seattle, Washington, United States of America
| | - Rachel Hess
- Department of Population Health Sciences and Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
| | - S. L. Hodder
- Department of Medicine, West Virginia University, Morgantown, West Virginia, United States of America
| | - Vanessa L. Jacoby
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, California, United States of America
| | - Michael R. Jordan
- Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Medford, Massachusetts, United States of America
| | - Jerry A. Krishnan
- Department of Medicine, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Adeyinka O. Laiyemo
- Department of Medicine, Howard University, Washington, DC, United States of America
| | - Torri D. Metz
- Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City, Utah, United States of America
| | - Lauren Nichols
- Body Politic COVID-19 Support Group, Boston, Massachusetts, United States of America
| | - Rachel E. Patzer
- Department of Medicine and Surgery, Health Services Research Center, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Anisha Sekar
- Patient Led Research Collaboration on COVID-19, Washington, DC, United States of America
| | - Nora G. Singer
- Department of Medicine and Rheumatology, The MetroHealth Medical Center, Cleveland, Ohio, United States of America
| | - Lauren E. Stiles
- Department of Neurology, Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States of America
| | - Barbara S. Taylor
- Department of Medicine, Division of Infectious Diseases and Infectious Diseases, Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Shifa Ahmed
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Heather A. Algren
- Swedish Center for Research and Innovation, Providence Swedish Medical Center, Seattle, Washington, United States of America
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California at San Francisco Institute of Global Health Sciences, San Francisco, San Francisco, California, United States of America
| | - Lisa Aponte-Soto
- College of Science and Health, Department of Health Sciences, DePaul University, Chicago, Illinois, United States of America
| | - Hassan Ashktorab
- Department of Medicine, Howard University, Washington, DC, United States of America
| | - Ingrid V. Bassett
- Medical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Brahmchetna Bedi
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Nahid Bhadelia
- Center for Emerging Infectious Diseases Policy and Research, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Christian Bime
- Department of Medicine, University of Arizona, Tucson, Arizona, United States of America
| | - Marie-Abele C. Bind
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Lora J. Black
- Department of Clinical Research, Sanford Research, Sioux Falls, South Dakota, United States of America
| | - Andra L. Blomkalns
- Department of Emergency Medicine, Stanford University, Stanford, California, United States of America
| | - Hassan Brim
- Department of Pathology, Howard University, Washington, DC, United States of America
| | - Mario Castro
- Division of Pulmonary and Critical Care, University of Kansas Medical Center, Kansas City, Kansas City, United States of America
| | - James Chan
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Alexander W. Charney
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Benjamin K. Chen
- Division of Infectious Disease, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Li Qing Chen
- Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Peter Chen
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - David Chestek
- Department of Emergency Medicine, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Lori B. Chibnik
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Dominic C. Chow
- Department of Medicine, University of Hawaii at Manoa John A. Burns School of Medicine, Honolulu, Hawaii, United States of America
| | - Helen Y. Chu
- Department of Allergy & Infectious Diseases, University of Washington, Seattle, Washington, United States of America
| | - Rebecca G. Clifton
- Department of Biostatistics, George Washington University, Washington, DC, United States of America
| | - Shelby Collins
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Maged M. Costantine
- Department of Obstetrics and Gynecology, The Ohio State University Hospital, Columbus, Ohio, United States of America
| | - Sushma K. Cribbs
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Steven G. Deeks
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - John D. Dickinson
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska, United States of America
| | - Sarah E. Donohue
- Department of Research Services, University of Illinois College of Medicine, Peoria, Illinois, United States of America
| | - Matthew S. Durstenfeld
- Department of Medicine, Division of Cardiology at Zuckerberg San Francisco General, University of California San Francisco, San Francisco, California, United States of America
| | - Ivette F. Emery
- MaineHealth Institute for Research, MaineHealth, Scarborough, Maine, United States of America
| | - Kristine M. Erlandson
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Julio C. Facelli
- Department of Biomedical Informatics and Clinical and Translational Science Institute, University of Utah, Salt Lake City, Utah, United States of America
| | - Rachael Farah-Abraham
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Aloke V. Finn
- Department of Pathology, CVPath Institute, Gaithersburg, Maryland, United States of America
| | - Melinda S. Fischer
- Department of Medicine, Division of Infectious Diseases and Infectious Diseases, Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Valerie J. Flaherman
- Department of Pediatrics, University of California, San Francisco, San Francisco, California, United States of America
| | - Judes Fleurimont
- Mile Square Health Center, University of Illinois Chicago, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Vivian Fonseca
- Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, United States of America
| | - Emily J. Gallagher
- Department of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Jennifer C. Gander
- Center for Research and Evaluation, Kaiser Permanente of Georgia, Atlanta, Georgia, United States of America
| | - Maria Laura Gennaro
- Public Health Research Institute and Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Kelly S. Gibson
- Department of Obstetrics and Gynecology, MetroHealth System, Cleveland, Ohio, United States of America
| | - Minjoung Go
- Department of Medicine, Stanford University, Stanford, California, United States of America
| | - Steven N. Goodman
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, United States of America
| | - Joey P. Granger
- Department of Physiology & Biophysics, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Frank L. Greenway
- Clinical Trials, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America
| | - John W. Hafner
- Department of Emergency Medicine, OSF Saint Francis Medical Center, Peoria, Illinois, United States of America
| | - Jenny E. Han
- Department of Pulmonary and Critical Care, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Michelle S. Harkins
- Department of Internal Medicine University of New Mexico, Health Science Center, Albuquerque, New Mexico, United States of America
| | - Kristine S. P. Hauser
- Clinical Research Center, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - James R. Heath
- Department of Bioengineering, Institute for Systems Biology, Seattle, Washington, United States of America
| | - Carla R. Hernandez
- Clinical Research Center, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
| | - On Ho
- Seattle Children’s Therapeutics, Seattle, Washington, United States of America
| | - Matthew K. Hoffman
- Department of Obstetrics and Gynecology, Christiana Care Health Services, Newark, Delaware, United States of America
| | - Susan E. Hoover
- Department of Clinical Research, Sanford Research, Sioux Falls, South Dakota, United States of America
| | - Carol R. Horowitz
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Harvey Hsu
- Department of Internal Medicine, University of Arizona, Phoenix, Arizona, United States of America
| | - Priscilla Y. Hsue
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Brenna L. Hughes
- Department of Obstetrics and Gynecology, Duke University, Durham, North Carolina, United States of America
| | - Prasanna Jagannathan
- Department of Medicine, Stanford University, Stanford, California, United States of America
| | - Judith A. James
- Department of Arthritis & Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, United States of America
| | - Janice John
- Department of Family Medicine, Cambridge Health Alliance, Cambridge, Massachusetts, United States of America
| | - Sarah Jolley
- Department of Pulmonary and Critical Care Medicine, University of Colorado, Aurora, Colorado, United States of America
| | - S. E. Judd
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Joy J. Juskowich
- Department of Medicine, Division of Infectious Diseases, West Virginia School of Medicine, Morgantown, West Virginia, United States of America
| | - Diane G. Kanjilal
- Department of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Elizabeth W. Karlson
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Stuart D. Katz
- Department of Medicine, NYU Langone Health, New York, New York, United States of America
| | - J. Daniel Kelly
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Sara W. Kelly
- Department of Pediatrics & Department of Research Services, University of Illinois College of Medicine, Peoria, Illinois, United States of America
| | - Arthur Y. Kim
- Department of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - John P. Kirwan
- Department Integrated Physiology and Molecular Medicine, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America
| | - Kenneth S. Knox
- Department of Internal Medicine, University of Arizona, Phoenix, Arizona, United States of America
| | - Andre Kumar
- Department of Medicine, Stanford University, Stanford, California, United States of America
| | | | - Margaret Lanca
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Joyce K. Lee-lannotti
- Department of Internal Medicine and Neurology, University of Arizona College of Medicine Phoenix, Phoenix, Arizona, United States of America
| | - R. Craig Lefebvre
- Communications Practice Area, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Bruce D. Levy
- Department of Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Janet Y. Lin
- Department of Emergency Medicine, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Brian P. Logarbo
- Tulane Center for Clinical Research, Tulane University School of Medicine, New Orleans, Louisiana, United States of America
| | - Jennifer K. Logue
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Michele T. Longo
- Tulane Center for Clinical Neurosciences, Tulane School of Medicine, New Orleans, Louisiana, United States of America
| | - Carlos A. Luciano
- Department of Neurology, University of Puerto Rico School of Medicine, San Juan, Puerto Rico, United States of America
| | - Karen Lutrick
- Department of Family & Community Medicine, University of Arizona, College of Medicine – Tucson, Tucson, Arizona, United States of America
| | - Shahdi K. Malakooti
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Gail Mallett
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois, United States of America
| | - Gabrielle Maranga
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Jai G. Marathe
- Department of Medicine, Section of Infectious Diseases, Boston University Medical Center, Boston, Massachusetts, United States of America
| | - Vincent C. Marconi
- Department of Medicine, Infectious Diseases and Department of Global Health, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Gailen D. Marshall
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Christopher F. Martin
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America
| | - Heidi T. May
- Department of Cardiology, Intermountain Medical Center, Salt Lake City, Utah, United States of America
| | - Grace A. McComsey
- Department of Medicine, Department of Pediatrics, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Dylan McDonald
- Department of Allergy & Infectious Diseases, University of Washington, Seattle, Washington, United States of America
| | - Hector Mendez-Figueroa
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Lucio Miele
- Department of Genetics, Louisiana State University Health Sciences Center, New Orleans, Louisiana, United States of America
| | - Murray A. Mittleman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Sindhu Mohandas
- Department of Infectious Diseases, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, California, United States of America
| | - Christian Mouchati
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Janet M. Mullington
- Department of Neurology and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Girish N. Nadkarni
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Erica R. Nahin
- Department of Medicine, NYU Langone Health, New York, New York, United States of America
| | - Robert B. Neuman
- Division of Cardiology, Kaiser Permanente of Georgia, Atlanta, Georgia, United States of America
| | - Lisa T. Newman
- Department of Social, Statistical and Environmental Sciences, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Amber Nguyen
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Janko Z. Nikolich
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, Arizona, United States of America
| | - Igho Ofotokun
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Princess U. Ogbogu
- Division of Pediatric Allergy, Immunology, and Rheumatology, University Hospitals Rainbow Babies and Children’s Hospital, Cleveland, Ohio, United States of America
| | - Anna Palatnik
- Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
| | - Kristy T. S. Palomares
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Saint Peter’s University Hospital, New Brunswick, New Jersey, United States of America
| | - Tanyalak Parimon
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Samuel Parry
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Sairam Parthasarathy
- Department of Medicine, University of Arizona, Tucson, Arizona, United States of America
| | - Thomas F. Patterson
- Department of Medicine, Department of Infectious Disease, University of Texas Health, San Antonio, Texas, United States of America
| | - Ann Pearman
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Michael J. Peluso
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, California, United States of America
| | - Priscilla Pemu
- Department of Medicine, Morehouse School of Medicine, Atlanta, Georgia, United States of America
| | - Christian M. Pettker
- Department of Obstetrics, Gynecology & Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Beth A. Plunkett
- Department of Obstetrics and Gynecology, NorthShore University Health System, Evanston, Illinois, United States of America
| | - Kristen Pogreba-Brown
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona, United States of America
| | - Athena Poppas
- Division of Cardiology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - J. Zachary Porterfield
- Department of Internal Medicine, Division of Infectious Diseases, University of Kentucky, Lexington, Kentucky, United States of America
| | - John G. Quigley
- Department of Medicine, Division of Hematology/Oncology, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Davin K. Quinn
- Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, New Mexico, United States of America
| | - Hengameh Raissy
- Department of Pediatrics, University of New Mexico, Health Sciences Center, Albuquerque, New Mexico, United States of America
| | - Candida J. Rebello
- Department of Nutrition and Chronic Disease, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America
| | - Uma M. Reddy
- Department of Obstetrics and Gynecology, Columbia University, New York, New York, United States of America
| | - Rebecca Reece
- Department of Medicine, Division of Infectious Diseases, West Virginia School of Medicine, Morgantown, West Virginia, United States of America
| | - Harrison T. Reeder
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Franz P. Rischard
- Department of Pulmonary and Critical Care, University of Arizona, Tucson, Arizona, United States of America
| | - Johana M. Rosas
- Department of Medicine, NYU Langone Health, New York, New York, United States of America
| | - Clifford J. Rosen
- MaineHealth Institute for Research, MaineHealth, Scarborough, Maine, United States of America
| | - Nadine G. Rouphael
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Dwight J. Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island, United States of America
| | - Adam M. Ruff
- Division of Pulmonary and Critical Care, University of Kansas Medical Center, Kansas City, Kansas City, United States of America
| | - Christina Saint Jean
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Grecio J. Sandoval
- Department of Biostatistics, George Washington University, Washington, DC, United States of America
| | - Jorge L. Santana
- Department of Medicine, University of Puerto Rico, San Juan, Puerto Rico, United States of America
| | - Shannon M. Schlater
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, United States of America
| | - Frank C. Sciurba
- Department of Medicine, Division of Pulmonary Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Caitlin Selvaggi
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center San Antonio, San Antonio, Texas, United States of America
| | - Howard D. Sesso
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Dimpy P. Shah
- Department of Population Health Sciences, Mays Cancer Center, University of Texas Health, San Antonio, Texas, United States of America
| | - Eyal Shemesh
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Zaki A. Sherif
- Department of Biochemistry & Molecular Biology, Howard University College of Medicine, Washington, DC, United States of America
| | - Daniel J. Shinnick
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Hyagriv N. Simhan
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
| | - Upinder Singh
- Department of Internal Medicine, Stanford University, Stanford, California, United States of America
| | - Amber Sowles
- Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City, Utah, United States of America
| | - Vignesh Subbian
- Department of Biomedical Engineering, Department of Systems and Industrial Engineering, University of Arizona College of Engineering, Tucson, Arizona, United States of America
| | - Jun Sun
- Department of Medicine, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Mehul S. Suthar
- Department of Pediatrics, Emory Vaccine Center, Emory University, Atlanta, Georgia, United States of America
| | - Larissa J. Teunis
- Health Services Research Center, Emory University, Atlanta, Georgia, United States of America
| | - John M. Thorp
- Department of Obstetrics and Gynecology, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Amberly Ticotsky
- Department of Family Medicine, Cambridge Health Alliance, Cambridge, Massachusetts, United States of America
| | - Alan T. N. Tita
- Department of Obstetrics and Gynecology and Center for Women’s Reproductive Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Robin Tragus
- Department of Medicine, University of Texas Health Science Center, San Antonio, Texas, United States of America
| | - Katherine R. Tuttle
- Department of Medicine, Division of Nephrology, University of Washington School of Medicine, Spokane, Washington, United States of America
| | - Alfredo E. Urdaneta
- Department of Emergency Medicine, Stanford University, Stanford, California, United States of America
| | - P. J. Utz
- Department of Internal Medicine, Stanford University, Stanford, California, United States of America
| | - Timothy M. VanWagoner
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Andrew Vasey
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska, United States of America
| | - Suzanne D. Vernon
- Department of Research, Bateman Horne Center, Salt Lake City, Utah, United States of America
| | - Crystal Vidal
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Tiffany Walker
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Honorine D. Ward
- Department of Medicine, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - David E. Warren
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, United States of America
| | - Ryan M. Weeks
- Department of Microbiology, Immunology, and Molecular Genetics, University of Kentucky, Lexington, Kentucky, United States of America
| | - Steven J. Weiner
- Department of Biostatistics, George Washington University, Washington, DC, United States of America
| | - Jordan C. Weyer
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Jennifer L. Wheeler
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Sidney W. Whiteheart
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, Kentucky, United States of America
| | - Zanthia Wiley
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Natasha J. Williams
- Institute for Excellence in Health Equity, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Juan P. Wisnivesky
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - John C. Wood
- Department of Pediatrics and Radiology, Children’s Hospital of Los Angeles, Los Angeles, California, United States of America
| | - Lynn M. Yee
- Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Natalie M. Young
- Swedish Center for Research and Innovation, Providence Swedish Medical Center, Seattle, Washington, United States of America
| | - Sokratis N. Zisis
- Department of Medicine, Department of Pediatrics, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Andrea S. Foulkes
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
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Thaweethai T, Jolley SE, Karlson EW, Levitan EB, Levy B, McComsey GA, McCorkell L, Nadkarni GN, Parthasarathy S, Singh U, Walker TA, Selvaggi CA, Shinnick DJ, Schulte CCM, Atchley-Challenner R, Alba GA, Alicic R, Altman N, Anglin K, Argueta U, Ashktorab H, Baslet G, Bassett IV, Bateman L, Bedi B, Bhattacharyya S, Bind MA, Blomkalns AL, Bonilla H, Bush PA, Castro M, Chan J, Charney AW, Chen P, Chibnik LB, Chu HY, Clifton RG, Costantine MM, Cribbs SK, Davila Nieves SI, Deeks SG, Duven A, Emery IF, Erdmann N, Erlandson KM, Ernst KC, Farah-Abraham R, Farner CE, Feuerriegel EM, Fleurimont J, Fonseca V, Franko N, Gainer V, Gander JC, Gardner EM, Geng LN, Gibson KS, Go M, Goldman JD, Grebe H, Greenway FL, Habli M, Hafner J, Han JE, Hanson KA, Heath J, Hernandez C, Hess R, Hodder SL, Hoffman MK, Hoover SE, Huang B, Hughes BL, Jagannathan P, John J, Jordan MR, Katz SD, Kaufman ES, Kelly JD, Kelly SW, Kemp MM, Kirwan JP, Klein JD, Knox KS, Krishnan JA, Kumar A, Laiyemo AO, Lambert AA, Lanca M, Lee-Iannotti JK, Logarbo BP, Longo MT, Luciano CA, Lutrick K, Maley JH, Marathe JG, Marconi V, Marshall GD, Martin CF, Matusov Y, Mehari A, Mendez-Figueroa H, Mermelstein R, Metz TD, Morse R, Mosier J, Mouchati C, Mullington J, Murphy SN, Neuman RB, Nikolich JZ, Ofotokun I, Ojemakinde E, Palatnik A, Palomares K, Parimon T, Parry S, Patterson JE, Patterson TF, Patzer RE, Peluso MJ, Pemu P, Pettker CM, Plunkett BA, Pogreba-Brown K, Poppas A, Quigley JG, Reddy U, Reece R, Reeder H, Reeves WB, Reiman EM, Rischard F, Rosand J, Rouse DJ, Ruff A, Saade G, Sandoval GJ, Schlater SM, Shepherd F, Sherif ZA, Simhan H, Singer NG, Skupski DW, Sowles A, Sparks JA, Sukhera FI, Taylor BS, Teunis L, Thomas RJ, Thorp JM, Thuluvath P, Ticotsky A, Tita AT, Tuttle KR, Urdaneta AE, Valdivieso D, VanWagoner TM, Vasey A, Verduzco-Gutierrez M, Wallace ZS, Ward HD, Warren DE, Weiner SJ, Welch S, Whiteheart SW, Wiley Z, Wisnivesky JP, Yee LM, Zisis S, Horwitz LI, Foulkes AS. Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection. JAMA 2023; 329:1934-1946. [PMID: 37278994 PMCID: PMC10214179 DOI: 10.1001/jama.2023.8823] [Citation(s) in RCA: 172] [Impact Index Per Article: 172.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 05/01/2023] [Indexed: 06/07/2023]
Abstract
Importance SARS-CoV-2 infection is associated with persistent, relapsing, or new symptoms or other health effects occurring after acute infection, termed postacute sequelae of SARS-CoV-2 infection (PASC), also known as long COVID. Characterizing PASC requires analysis of prospectively and uniformly collected data from diverse uninfected and infected individuals. Objective To develop a definition of PASC using self-reported symptoms and describe PASC frequencies across cohorts, vaccination status, and number of infections. Design, Setting, and Participants Prospective observational cohort study of adults with and without SARS-CoV-2 infection at 85 enrolling sites (hospitals, health centers, community organizations) located in 33 states plus Washington, DC, and Puerto Rico. Participants who were enrolled in the RECOVER adult cohort before April 10, 2023, completed a symptom survey 6 months or more after acute symptom onset or test date. Selection included population-based, volunteer, and convenience sampling. Exposure SARS-CoV-2 infection. Main Outcomes and Measures PASC and 44 participant-reported symptoms (with severity thresholds). Results A total of 9764 participants (89% SARS-CoV-2 infected; 71% female; 16% Hispanic/Latino; 15% non-Hispanic Black; median age, 47 years [IQR, 35-60]) met selection criteria. Adjusted odds ratios were 1.5 or greater (infected vs uninfected participants) for 37 symptoms. Symptoms contributing to PASC score included postexertional malaise, fatigue, brain fog, dizziness, gastrointestinal symptoms, palpitations, changes in sexual desire or capacity, loss of or change in smell or taste, thirst, chronic cough, chest pain, and abnormal movements. Among 2231 participants first infected on or after December 1, 2021, and enrolled within 30 days of infection, 224 (10% [95% CI, 8.8%-11%]) were PASC positive at 6 months. Conclusions and Relevance A definition of PASC was developed based on symptoms in a prospective cohort study. As a first step to providing a framework for other investigations, iterative refinement that further incorporates other clinical features is needed to support actionable definitions of PASC.
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Affiliation(s)
- Tanayott Thaweethai
- Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | | | | | | | - Bruce Levy
- Harvard Medical School, Boston, Massachusetts
- Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Lisa McCorkell
- Patient-Led Research Collaborative, Calabasas, California
| | | | | | - Upinder Singh
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Mario Castro
- University of Kansas Medical Center, Kansas City
| | | | | | - Peter Chen
- Cedars-Sinai Medical Center, Los Angeles, California
| | | | - Helen Y Chu
- University of Washington School of Medicine, Seattle
| | | | | | | | | | | | | | | | | | | | | | | | - Cheryl E Farner
- The University of Texas Health Science Center at San Antonio
| | | | | | - Vivian Fonseca
- Tulane University Health Sciences Center, New Orleans, Louisiana
| | | | | | | | | | | | | | - Minjoung Go
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | - John Hafner
- University of Illinois Chicago College of Medicine
| | - Jenny E Han
- Emory University School of Medicine, Atlanta, Georgia
| | | | - James Heath
- Institute for Systems Biology, Seattle, Washington
| | | | - Rachel Hess
- University of Utah Schools of the Health Sciences, Salt Lake City
| | - Sally L Hodder
- West Virginia Clinical and Translational Science Institute, Morgantown
| | | | | | | | | | | | - Janice John
- Cambridge Health Alliance, Cambridge, Massachusetts
| | | | - Stuart D Katz
- New York University Grossman School of Medicine, New York
| | | | | | - Sara W Kelly
- University of Illinois College of Medicine at Peoria
| | | | - John P Kirwan
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | | | | | - Jerry A Krishnan
- University of Illinois Hospital and Health Sciences System, Chicago
| | - Andre Kumar
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | | | | | | | | | - Jason H Maley
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | | | | | | | | | - Yuri Matusov
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Alem Mehari
- Howard University College of Medicine, Washington, DC
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jan E Patterson
- The University of Texas Health Science Center at San Antonio
| | | | | | | | | | | | - Beth A Plunkett
- Harvard Medical School, Boston, Massachusetts
- NorthShore University HealthSystem, Evanston, Illinois
| | | | - Athena Poppas
- Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | | | - Uma Reddy
- Columbia University Irving Medical Center, New York, New York
| | - Rebecca Reece
- West Virginia University School of Medicine, Morgantown
| | | | - W B Reeves
- Department of Medicine, The University of Texas Health Science Center at San Antonio
| | | | | | | | | | - Adam Ruff
- The University of Kansas Medical Center, Kansas City
| | | | - Grecio J Sandoval
- Milken Institute of Public Health, The George Washington University, Washington, DC
| | | | | | - Zaki A Sherif
- Howard University College of Medicine, Washington, DC
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Steven J Weiner
- The George Washington University Biostatistics Center, Rockville, Maryland
| | | | | | | | | | - Lynn M Yee
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | | | | | - Andrea S Foulkes
- Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
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Wong AW, Tran KC, Binka M, Janjua NZ, Sbihi H, Russell JA, Carlsten C, Levin A, Ryerson CJ. Use of latent class analysis and patient reported outcome measures to identify distinct long COVID phenotypes: A longitudinal cohort study. PLoS One 2023; 18:e0286588. [PMID: 37267379 DOI: 10.1371/journal.pone.0286588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/18/2023] [Indexed: 06/04/2023] Open
Abstract
OBJECTIVES We sought to 1) identify long COVID phenotypes based on patient reported outcome measures (PROMs) and 2) determine whether the phenotypes were associated with quality of life (QoL) and/or lung function. METHODS This was a longitudinal cohort study of hospitalized and non-hospitalized patients from March 2020 to January 2022 that was conducted across 4 Post-COVID Recovery Clinics in British Columbia, Canada. Latent class analysis was used to identify long COVID phenotypes using baseline PROMs (fatigue, dyspnea, cough, anxiety, depression, and post-traumatic stress disorder). We then explored the association between the phenotypes and QoL (using the EuroQoL 5 dimensions visual analogue scale [EQ5D VAS]) and lung function (using the diffusing capacity of the lung for carbon monoxide [DLCO]). RESULTS There were 1,344 patients enrolled in the study (mean age 51 ±15 years; 780 [58%] were females; 769 (57%) were of a non-White race). Three distinct long COVID phenotypes were identified: Class 1) fatigue and dyspnea, Class 2) anxiety and depression, and Class 3) fatigue, dyspnea, anxiety, and depression. Class 3 had a significantly lower EQ5D VAS at 3 (50±19) and 6 months (54 ± 22) compared to Classes 1 and 2 (p<0.001). The EQ5D VAS significantly improved between 3 and 6 months for Class 1 (median difference of 6.0 [95% CI, 4.0 to 8.0]) and Class 3 (median difference of 5.0 [95% CI, 0 to 8.5]). There were no differences in DLCO between the classes. CONCLUSIONS There were 3 distinct long COVID phenotypes with different outcomes in QoL between 3 and 6 months after symptom onset. These phenotypes suggest that long COVID is a heterogeneous condition with distinct subpopulations who may have different outcomes and warrant tailored therapeutic approaches.
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Affiliation(s)
- Alyson W Wong
- Department of Medicine, University of British Columbia, Vancouver, Canada
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | - Karen C Tran
- Division of General Internal Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mawuena Binka
- Data and Analytic Services, BC Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Naveed Z Janjua
- Data and Analytic Services, BC Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Hind Sbihi
- Data and Analytic Services, BC Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - James A Russell
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | - Christopher Carlsten
- Department of Medicine, University of British Columbia, Vancouver, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Adeera Levin
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Christopher J Ryerson
- Department of Medicine, University of British Columbia, Vancouver, Canada
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
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Mohandas S, Jagannathan P, Henrich TJ, Sherif ZA, Bime C, Quinlan E, Portman MA, Gennaro M, Rehman J. Immune mechanisms underlying COVID-19 pathology and post-acute sequelae of SARS-CoV-2 infection (PASC). eLife 2023; 12:e86014. [PMID: 37233729 PMCID: PMC10219649 DOI: 10.7554/elife.86014] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 05/18/2023] [Indexed: 05/27/2023] Open
Abstract
With a global tally of more than 500 million cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections to date, there are growing concerns about the post-acute sequelae of SARS-CoV-2 infection (PASC), also known as long COVID. Recent studies suggest that exaggerated immune responses are key determinants of the severity and outcomes of the initial SARS-CoV-2 infection as well as subsequent PASC. The complexity of the innate and adaptive immune responses in the acute and post-acute period requires in-depth mechanistic analyses to identify specific molecular signals as well as specific immune cell populations which promote PASC pathogenesis. In this review, we examine the current literature on mechanisms of immune dysregulation in severe COVID-19 and the limited emerging data on the immunopathology of PASC. While the acute and post-acute phases may share some parallel mechanisms of immunopathology, it is likely that PASC immunopathology is quite distinct and heterogeneous, thus requiring large-scale longitudinal analyses in patients with and without PASC after an acute SARS-CoV-2 infection. By outlining the knowledge gaps in the immunopathology of PASC, we hope to provide avenues for novel research directions that will ultimately lead to precision therapies which restore healthy immune function in PASC patients.
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Affiliation(s)
- Sindhu Mohandas
- Division of Infectious Diseases, Children’s Hospital Los Angeles, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - Prasanna Jagannathan
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford UniversityStanfordUnited States
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California, San FranciscoSan FranciscoUnited States
| | - Zaki A Sherif
- Department of Biochemistry & Molecular Biology, Howard University College of MedicineWashingtonUnited States
| | - Christian Bime
- Division of Pulmonary, Allergy, Critical Care & Sleep Medicine, Department of Medicine, University of Arizona College of MedicineTucsonUnited States
| | - Erin Quinlan
- National Center for Complementary and Integrative Health, National Institutes of HealthBethesdaUnited States
| | - Michael A Portman
- Seattle Children’s Hospital, Division of Pediatric Cardiology, Department of Pediatrics, University of WashingtonSeattleUnited States
| | - Marila Gennaro
- Public Health Research Institute and Department of Medicine, Rutgers New Jersey Medical SchoolNewarkUnited States
| | - Jalees Rehman
- Department of Biochemistry and Molecular Genetics, University of Illinois, College of MedicineChicagoUnited States
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Scholkmann F, May CA. COVID-19, post-acute COVID-19 syndrome (PACS, "long COVID") and post-COVID-19 vaccination syndrome (PCVS, "post-COVIDvac-syndrome"): Similarities and differences. Pathol Res Pract 2023; 246:154497. [PMID: 37192595 DOI: 10.1016/j.prp.2023.154497] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/25/2023] [Accepted: 05/01/2023] [Indexed: 05/18/2023]
Abstract
Worldwide there have been over 760 million confirmed coronavirus disease 2019 (COVID-19) cases, and over 13 billion COVID-19 vaccine doses have been administered as of April 2023, according to the World Health Organization. An infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to an acute disease, i.e. COVID-19, but also to a post-acute COVID-19 syndrome (PACS, "long COVID"). Currently, the side effects of COVID-19 vaccines are increasingly being noted and studied. Here, we summarise the currently available indications and discuss our conclusions that (i) these side effects have specific similarities and differences to acute COVID-19 and PACS, that (ii) a new term should be used to refer to these side effects (post-COVID-19 vaccination syndrome, PCVS, colloquially "post-COVIDvac-syndrome"), and that (iii) there is a need to distinguish between acute COVID-19 vaccination syndrome (ACVS) and post-acute COVID-19 vaccination syndrome (PACVS) - in analogy to acute COVID-19 and PACS ("long COVID"). Moreover, we address mixed forms of disease caused by natural SARS-CoV-2 infection and COVID-19 vaccination. We explain why it is important for medical diagnosis, care and research to use the new terms (PCVS, ACVS and PACVS) in order to avoid confusion and misinterpretation of the underlying causes of disease and to enable optimal medical therapy. We do not recommend to use the term "Post-Vac-Syndrome" as it is imprecise. The article also serves to address the current problem of "medical gaslighting" in relation to PACS and PCVS by raising awareness among the medical professionals and supplying appropriate terminology for disease.
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Affiliation(s)
- Felix Scholkmann
- University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
| | - Christian-Albrecht May
- Department of Anatomy, Faculty of Medicine Carl Gustav Carus, TU Dresden, 01307 Dresden, Germany
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36
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Kenny G, Townsend L, Savinelli S, Mallon PWG. Long COVID: Clinical characteristics, proposed pathogenesis and potential therapeutic targets. Front Mol Biosci 2023; 10:1157651. [PMID: 37179568 PMCID: PMC10171433 DOI: 10.3389/fmolb.2023.1157651] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 04/04/2023] [Indexed: 05/15/2023] Open
Abstract
The emergence of persistent ill-health in the aftermath of SARS-CoV-2 infection has presented significant challenges to patients, healthcare workers and researchers. Termed long COVID, or post-acute sequelae of COVID-19 (PASC), the symptoms of this condition are highly variable and span multiple body systems. The underlying pathophysiology remains poorly understood, with no therapeutic agents proven to be effective. This narrative review describes predominant clinical features and phenotypes of long COVID alongside the data supporting potential pathogenesis of these phenotypes including ongoing immune dysregulation, viral persistence, endotheliopathy, gastrointestinal microbiome disturbance, autoimmunity, and dysautonomia. Finally, we describe current potential therapies under investigation, as well as future potential therapeutic options based on the proposed pathogenesis research.
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Affiliation(s)
- Grace Kenny
- Centre for Experimental Pathogen Host Research, University College Dublin, Dublin, Ireland
- Department of Infectious Diseases, St Vincent’s University Hospital, Dublin, Ireland
| | - Liam Townsend
- Department of Infectious Diseases, St Vincent’s University Hospital, Dublin, Ireland
| | - Stefano Savinelli
- Centre for Experimental Pathogen Host Research, University College Dublin, Dublin, Ireland
- Department of Infectious Diseases, St Vincent’s University Hospital, Dublin, Ireland
| | - Patrick W. G. Mallon
- Centre for Experimental Pathogen Host Research, University College Dublin, Dublin, Ireland
- Department of Infectious Diseases, St Vincent’s University Hospital, Dublin, Ireland
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Lorman V, Rao S, Jhaveri R, Case A, Mejias A, Pajor NM, Patel P, Thacker D, Bose-Brill S, Block J, Hanley PC, Prahalad P, Chen Y, Forrest CB, Bailey LC, Lee GM, Razzaghi H. Understanding pediatric long COVID using a tree-based scan statistic approach: an EHR-based cohort study from the RECOVER Program. JAMIA Open 2023; 6:ooad016. [PMID: 36926600 PMCID: PMC10013630 DOI: 10.1093/jamiaopen/ooad016] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/23/2023] [Accepted: 03/06/2023] [Indexed: 03/09/2023] Open
Abstract
Objectives Post-acute sequalae of SARS-CoV-2 infection (PASC) is not well defined in pediatrics given its heterogeneity of presentation and severity in this population. The aim of this study is to use novel methods that rely on data mining approaches rather than clinical experience to detect conditions and symptoms associated with pediatric PASC. Materials and Methods We used a propensity-matched cohort design comparing children identified using the new PASC ICD10CM diagnosis code (U09.9) (N = 1309) to children with (N = 6545) and without (N = 6545) SARS-CoV-2 infection. We used a tree-based scan statistic to identify potential condition clusters co-occurring more frequently in cases than controls. Results We found significant enrichment among children with PASC in cardiac, respiratory, neurologic, psychological, endocrine, gastrointestinal, and musculoskeletal systems, the most significant related to circulatory and respiratory such as dyspnea, difficulty breathing, and fatigue and malaise. Discussion Our study addresses methodological limitations of prior studies that rely on prespecified clusters of potential PASC-associated diagnoses driven by clinician experience. Future studies are needed to identify patterns of diagnoses and their associations to derive clinical phenotypes. Conclusion We identified multiple conditions and body systems associated with pediatric PASC. Because we rely on a data-driven approach, several new or under-reported conditions and symptoms were detected that warrant further investigation.
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Affiliation(s)
- Vitaly Lorman
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital of Colorado, Aurora, Colorado, USA
| | - Ravi Jhaveri
- Division of Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Abigail Case
- Division of Physical Medicine & Rehabilitation, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Asuncion Mejias
- Division of Infectious Diseases, Department of Pediatrics, Nationwide Children's Hospital and The Ohio State University, Columbus, Ohio, USA
| | - Nathan M Pajor
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Payal Patel
- Department of Neurology, University of Washington, Seattle, Washington, USA
| | - Deepika Thacker
- Nemours Cardiac Center, Nemours Children's Health, Wilmington, Delaware, USA
| | - Seuli Bose-Brill
- Internal Medicine and Pediatrics Section, Division of General Internal Medicine, Department of Internal Medicine, Ohio State University College of Medicine and Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Jason Block
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Patrick C Hanley
- Division of Endocrinology, Nemours Children's Hospital, Wilmington, Delaware, USA
| | - Priya Prahalad
- Division of Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Yong Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Christopher B Forrest
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - L Charles Bailey
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Grace M Lee
- Division of Infectious Diseases, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Hanieh Razzaghi
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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Muzyka I, Revenko O, Kovalchuk I, Savytska M, Bekesevych A, Kasko R, Zayachkivska O. What is the role of brown adipose tissue in metabolic health: lessons learned and future perspectives in the long COVID? Inflammopharmacology 2023; 31:585-595. [PMID: 36964859 PMCID: PMC10039328 DOI: 10.1007/s10787-023-01188-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/26/2023]
Abstract
Metabolic physiology plays a key role in maintaining our health and resilience. Metabolic disorders can lead to serious illnesses, including obesity. The pathogenesis of the new long COVID syndrome in individuals with long-term recovery after SARS-Co-2 infection is still incomplete. Thus there is growing attention in the study of adipose tissue activities, especially brown adipose tissue (BAT) and associated resilience which plays a crucial role in different types of obesity as potential targets for pharmacologic and nutritional interventions in the context of obesity and long COVID. The number of studies examining mechanisms underlying BAT has grown rapidly in the last 10 years despite of role of BAT in individuals with COVID-19 and long COVID is modest. Therefore, this review aims to sum up data examining BAT activities, its resilience in health, obesity, and the possible link to long COVID. The search was conducted on studies published in English mostly between 2004 and 2022 in adult humans and animal models. Database searches were conducted using PubMed, Scopus, and Google Scholar for key terms including adipose tissue, BAT, adipokines, obesity, VPF/VEGF, and pathogenesis. From the initial search through the database were identified relevant articles that met inclusion and exclusion criteria and our data regarding adipose tissues were presented in this review. It will discuss adiposity tissue activities. Current literature suggests that there are BAT integral effects to whitening and browning fat phenomena which reflect the homeostatic metabolic adaptive ability for environmental demand or survival/adaptive mechanisms. We also review neural and vascular impacts in BAT that play a role in resilience and obesity. Finally, we discuss the role of BAT in the context of long COVID in basic research and clinical research.
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Affiliation(s)
| | | | | | | | | | | | - Oksana Zayachkivska
- Lviv National Medical University, Lviv, Ukraine.
- School of Medicine, American University of Health Sciences, 1600 East Hill St., Signal Hill/Long Beach, CA, 90755, USA.
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39
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Muzyka I, Revenko O, Kovalchuk I, Savytska M, Bekesevych A, Zayachkivska O. What is the role of brown adipose tissue in metabolic health: lessons learned and future perspectives in the long COVID? Inflammopharmacology 2023:10.1007/s10787-023-01195-z. [PMID: 36943540 PMCID: PMC10028755 DOI: 10.1007/s10787-023-01195-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 03/07/2023] [Indexed: 03/23/2023]
Abstract
Metabolic physiology plays a key role in maintaining our health and resilience. Metabolic disorders can lead to serious illnesses, including obesity. The pathogenesis of the new long COVID syndrome in individuals with long-term recovery after SARS-Co-2 infection is still incomplete. Thus there is growing attention in the study of adipose tissue activities, especially brown adipose tissue (BAT) and associated resilience which plays a crucial role in different types of obesity as potential targets for pharmacologic and nutritional interventions in the context of obesity and long COVID. The number of studies examining mechanisms underlying BAT has grown rapidly in the last 10 years despite of role of BAT in individuals with COVID-19 and long COVID is modest. Therefore, this review aims to sum up data examining BAT activities, its resilience in health, obesity, and the possible link to long COVID. The search was conducted on studies published in English mostly between 2004 and 2022 in adult humans and animal models. Database searches were conducted using PubMed, Scopus, and Google Scholar for key terms including adipose tissue, BAT, adipokinins, obesity, VPF/VEGF, and pathogenesis. From the initial search through the database were identified relevant articles that met inclusion and exclusion criteria and our data regarding adipose tissues were presented in this review. It will discuss adiposity tissue activities. Current literature suggests that there are BAT integral effects to whitening and browning fat phenomenons which reflect the homeostatic metabolic adaptive ability for environmental demand or survival/adaptive mechanisms. We also review neural and vascular impacts in BAT that play a role in resilience and obesity. Finally, we discuss the role of BAT in the context of long COVID in basic research and clinical research.
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Affiliation(s)
| | | | | | | | | | - Oksana Zayachkivska
- Lviv National Medical University, Lviv, Ukraine.
- School of Medicine, American University of Health Sciences, 1600 East Hill St., Signal Hill/Long Beach, CA, 90755, USA.
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