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Grach SL, Dudenkov DV, Pollack B, Fairweather D, Aakre CA, Munipalli B, Croghan IT, Mueller MR, Overgaard JD, Bruno KA, Collins NM, Li Z, Hurt RT, Tal MC, Ganesh R, Knight DTR. Overlapping conditions in Long COVID at a multisite academic center. Front Neurol 2024; 15:1482917. [PMID: 39524912 PMCID: PMC11543549 DOI: 10.3389/fneur.2024.1482917] [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: 08/19/2024] [Accepted: 10/09/2024] [Indexed: 11/16/2024] Open
Abstract
Background Many patients experience persistent symptoms after COVID-19, a syndrome referred to as Long COVID (LC). The goal of this study was to identify novel new or worsening comorbidities self-reported in patients with LC. Methods Patients diagnosed with LC (n = 732) at the Mayo Long COVID Care Clinic in Rochester, Minnesota and Jacksonville, Florida were sent questionnaires to assess the development of new or worsening comorbidities following COVID-19 compared to patients with SARS-CoV-2 that did not develop LC (controls). Both groups were also asked questions screening for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), generalized joint hypermobility (GJH) and orthostatic intolerance. 247 people with LC (33.7%) and 40 controls (50%) responded to the surveys. Results In this study LC patients averaged 53 years of age and were predominantly White (95%) women (75%). The greatest prevalence of new or worsening comorbidities following SARS-CoV-2 infection in patients with LC vs. controls reported in this study were pain (94.4% vs. 0%, p < 0.001), neurological (92.4% vs. 15.4%, p < 0.001), sleep (82.8% vs. 5.3%, p < 0.001), skin (69.8% vs. 0%, p < 0.001), and genitourinary (60.6% vs. 25.0%, p = 0.029) issues. 58% of LC patients screened positive for ME/CFS vs. 0% of controls (p < 0.001), 27% positive for GJH compared to 10% of controls (p = 0.026), and a positive average score of 4.0 on orthostatic intolerance vs. 0 (p < 0.001). The majority of LC patients with ME/CFS were women (77%). Conclusion We found that comorbidities across 12 surveyed categories were increased in patients following SARS-CoV-2 infection. Our data also support the overlap of LC with ME/CFS, GJH, and orthostatic intolerance. We discuss the pathophysiologic, research, and clinical implications of identifying these conditions with LC.
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Affiliation(s)
- Stephanie L. Grach
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Daniel V. Dudenkov
- Department of General Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
| | - Beth Pollack
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - DeLisa Fairweather
- Department of General Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL, United States
- Center for Clinical and Translational Science, Mayo Clinic, Rochester, MN, United States
- Department of Immunology, Mayo Clinic, Jacksonville, FL, United States
| | - Chris A. Aakre
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Bala Munipalli
- Department of General Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
| | - Ivana T. Croghan
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
- Division of Quantitative Health Sciences, Rochester, MN, United States
| | - Michael R. Mueller
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Joshua D. Overgaard
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Katelyn A. Bruno
- Department of General Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
- Department of Cardiovascular Medicine, University of Florida, Gainesville, FL, United States
| | - Nerissa M. Collins
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Zhuo Li
- Department of Biostatistics, Mayo Clinic, Jacksonville, FL, United States
| | - Ryan T. Hurt
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Michal C. Tal
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
- Institute for Stem Cell Biology & Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Ravindra Ganesh
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Dacre T. R. Knight
- Department of General Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
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Vogel JM, Pollack B, Spier E, McCorkell L, Jaudon TW, Fitzgerald M, Davis H, Cohen AK. Designing and optimizing clinical trials for long COVID. Life Sci 2024; 355:122970. [PMID: 39142505 DOI: 10.1016/j.lfs.2024.122970] [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: 05/17/2024] [Revised: 08/07/2024] [Accepted: 08/10/2024] [Indexed: 08/16/2024]
Abstract
Long COVID is a debilitating, multisystemic illness following a SARS-CoV-2 infection whose duration may be indefinite. Over four years into the pandemic, little knowledge has been generated from clinical trials. We analyzed the information available on ClinicalTrials.gov, and found that the rigor and focus of trials vary widely, and that the majority test non-pharmacological interventions with insufficient evidence. We highlight promising trials underway, and encourage the proliferation of clinical trials for treating Long COVID and other infection-associated chronic conditions and illnesses (IACCIs). We recommend several guidelines for Long COVID trials: First, pharmaceutical trials with potentially curative, primary interventions should be prioritized, and both drug repurposing and new drug development should be pursued. Second, study designs should be both rigorous and accessible, e.g., triple-blinded randomized trials that can be conducted remotely, without participants needing to leave their homes. Third, studies should have multiple illness comparator cohorts for IACCIs such as myalgic encephalomyelitis (ME/CFS) and dysautonomia, and screen for the full spectrum of symptomatology and pathologies of these illnesses. Fourth, studies should consider inclusion/exclusion criteria with an eye towards equity and breadth of representation, including participants of all races, ethnicities, and genders most impacted by COVID-19, and including all levels of illness severity. Fifth, involving patient-researchers in all aspects of studies brings immensely valuable perspectives that will increase the impact of trials. We also encourage the development of efficient clinical trial designs including methods to study several therapies in parallel.
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Affiliation(s)
- Julia Moore Vogel
- Scripps Research Translational Institute, Scripps Research, La Jolla, CA, United States of America; Patient-Led Research Collaborative, United States of America.
| | - Beth Pollack
- Patient-Led Research Collaborative, United States of America; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Ezra Spier
- Patient-Led Research Collaborative, United States of America
| | - Lisa McCorkell
- Patient-Led Research Collaborative, United States of America
| | - Toni Wall Jaudon
- Patient-Led Research Collaborative, United States of America; University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
| | | | - Hannah Davis
- Patient-Led Research Collaborative, United States of America
| | - Alison K Cohen
- Patient-Led Research Collaborative, United States of America; University of California San Francisco, Department of Epidemiology & Biostatistics and Philip R. Lee Institute for Health Policy Studies, 550 16th street, 2nd floor, San Francisco, CA 94158, United States of America
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Ganesh R, Munipalli B. Long COVID and hypermobility spectrum disorders have shared pathophysiology. Front Neurol 2024; 15:1455498. [PMID: 39301475 PMCID: PMC11410636 DOI: 10.3389/fneur.2024.1455498] [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: 06/27/2024] [Accepted: 08/02/2024] [Indexed: 09/22/2024] Open
Abstract
Hypermobility spectrum disorders (HSD) and hypermobile Ehlers-Danlos syndrome (hEDS) are the most common joint hypermobility conditions encountered by physicians, with hypermobile and classical EDS accounting for >90% of all cases. Hypermobility has been detected in up to 30-57% of patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), fibromyalgia, postural orthostatic tachycardia syndrome (POTS), and long COVID (LC) compared to the general population. Extrapulmonary symptoms, including musculoskeletal pain, dysautonomia disorders, cognitive disorders, and fatigue, are seen in both LC and HSD. Additionally, ME/CFS has overlapping symptoms with those seen in HSD. Mast cell activation and degranulation occurring in both LC and ME/CFS may result in hyperinflammation and damage to connective tissue in these patients, thereby inducing hypermobility. Persistent inflammation may result in the development or worsening of HSD. Hence, screening for hypermobility and other related conditions including fibromyalgia, POTS, ME/CFS, chronic pain conditions, joint pain, and myalgia is essential for individuals experiencing LC. Pharmacological treatments should be symptom-focused and geared to a patient's presentation. Paced exercise, massage, yoga, and meditation may also provide benefits.
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Affiliation(s)
- Ravindra Ganesh
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Bala Munipalli
- Division of General Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
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