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Yao L, Subramaniam K, Raja KM, Arunachalam A, Tran A, Pandey T, Ravishankar S, Suggala S, Hendrickson C, Maxwell AJ. Association of postural orthostatic tachycardia syndrome, hypermobility spectrum disorders, and mast cell activation syndrome in young patients; prevalence, overlap and response to therapy depends on the definition. Front Neurol 2025; 16:1513199. [PMID: 40352770 PMCID: PMC12063504 DOI: 10.3389/fneur.2025.1513199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Accepted: 03/10/2025] [Indexed: 05/14/2025] Open
Abstract
Background The close association of syndromes of orthostatic intolerance with and without postural orthostatic tachycardia syndrome (POTS) with Joint Hypermobility Disorders (JHD) including Hypermobility Spectrum Disorder (HSD) and hypermobile Ehlers Danlos Syndrome (hEDS) and with Mast Cell Activation Syndrome (MCAS) is now firmly established. However, the prevalence of each entity relative to the other is not well established and is affected greatly by the various definitions used for each syndrome. Use of restricting definitions for each syndrome can be problematic in the clinical setting as it under-estimates the presence of disease, thereby preventing clinicians from considering potentially helpful therapeutic options. Methods A retrospective review of the clinical records of 100 young patients meeting POTS criteria was undertaken to determine the frequency of HSD, near-hEDS, and hEDS as well as the frequency of MCAS using consensus-1, conservative consensus-2, and clinical criteria regardless of lab support. Effectiveness of MCAS therapies was assessed in relation to the method of MCAS diagnosis. Results From records of 392 patients with orthostatic intolerance syndromes, 100 patients met POTS criteria. The frequency of JHD ranged from 13% using strict criteria of hEDS to 34% using HSD Criteria. The frequency of MCAS ranged from 2% using consensus-1 criteria, to 37% using conservative consensus-2 criteria, to 87% using clinical criteria. Patients diagnosed by clinical criteria with or without the aid of labs responded to therapy similarly to those diagnosed with stricter criteria. Conclusion Using overly strict criteria to diagnose conditions which have a high prevalence of co-occurrence misses opportunities for potential therapeutic strategies.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Andrew J. Maxwell
- Heart of the Valley Pediatric Cardiology, Pleasanton, CA, United States
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Boris JR, Abdallah H, Ahrens S, Chelimsky G, Chelimsky TC, Fischer PR, Fortunato JE, Gavin R, Gilden JL, Gonik R, Grubb BP, Klaas KM, Marriott E, Marsillio LE, Medow MS, Norcliffe-Kaufmann L, Numan MT, Olufs E, Pace LA, Pianosi PT, Simpson P, Stewart JM, Tarbell S, Van Waning NR, Weese-Mayer DE. Creating a data dictionary for pediatric autonomic disorders. Clin Auton Res 2023; 33:301-377. [PMID: 36800049 PMCID: PMC9936127 DOI: 10.1007/s10286-023-00923-3] [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: 12/06/2022] [Accepted: 01/06/2023] [Indexed: 02/18/2023]
Abstract
PURPOSE Whether evaluating patients clinically, documenting care in the electronic health record, performing research, or communicating with administrative agencies, the use of a common set of terms and definitions is vital to ensure appropriate use of language. At a 2017 meeting of the Pediatric Section of the American Autonomic Society, it was determined that an autonomic data dictionary comprising aspects of evaluation and management of pediatric patients with autonomic disorders would be an important resource for multiple stakeholders. METHODS Our group created the list of terms for the dictionary. Definitions were prioritized to be obtained from established sources with which to harmonize. Some definitions needed mild modification from original sources. The next tier of sources included published consensus statements, followed by Internet sources. In the absence of appropriate sources, we created a definition. RESULTS A total of 589 terms were listed and defined in the dictionary. Terms were organized by Signs/Symptoms, Triggers, Co-morbid Disorders, Family History, Medications, Medical Devices, Physical Examination Findings, Testing, and Diagnoses. CONCLUSION Creation of this data dictionary becomes the foundation of future clinical care and investigative research in pediatric autonomic disorders, and can be used as a building block for a subsequent adult autonomic data dictionary.
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Affiliation(s)
- Jeffrey R Boris
- Jeffrey R. Boris, MD LLC, P.O. Box 16, Moylan, PA, 19065, USA.
| | | | | | - Gisela Chelimsky
- Children's Hospital of Richmond, Virginia Commonwealth University Health, Richmond, VA, USA
| | | | - Philip R Fischer
- Mayo Clinic, Rochester, MN, USA
- Sheikh Shakhbout Medical City, Abu Dhabi, UAE
- Khalifa University College of Medicine and Health Sciences, Abu Dhabi, UAE
| | | | | | - Janice L Gilden
- Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | - Renato Gonik
- University of Florida College of Medicine, Gainesville, FL, USA
| | | | | | - Erin Marriott
- American Family Children's Hospital, Madison, WI, USA
| | - Lauren E Marsillio
- Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Stanley Manne Children's Research Institute, Chicago, IL, USA
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | - Mohammed T Numan
- University of Texas Houston McGovern Medical School, Houston, TX, USA
| | - Erin Olufs
- University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | | | - Paul T Pianosi
- University of Minnesota Medical School, Minneapolis, MN, USA
| | | | | | - Sally Tarbell
- Northwestern Feinberg School of Medicine, Chicago, IL, USA
| | | | - Debra E Weese-Mayer
- Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Stanley Manne Children's Research Institute, Chicago, IL, USA
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Morrow AK, Malone LA, Kokorelis C, Petracek LS, Eastin EF, Lobner KL, Neuendorff L, Rowe PC. Long-Term COVID 19 Sequelae in Adolescents: the Overlap with Orthostatic Intolerance and ME/CFS. CURRENT PEDIATRICS REPORTS 2022; 10:31-44. [PMID: 35287333 PMCID: PMC8906524 DOI: 10.1007/s40124-022-00261-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/18/2022] [Indexed: 12/13/2022]
Abstract
Purpose of Review To discuss emerging understandings of adolescent long COVID or post-COVID-19 conditions, including proposed clinical definitions, common symptoms, epidemiology, overlaps with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and orthostatic intolerance, and preliminary guidance on management. Recent Findings The recent World Health Organization clinical case definition of post-COVID-19 condition requires a history of probable or confirmed SARS-CoV-2 infection, with symptoms starting within 3 months of the onset of COVID-19. Symptoms must last for at least 2 months and cannot be explained by an alternative diagnosis. Common symptoms of the post-COVID-19 condition include, but are not limited to, fatigue, shortness of breath, and cognitive dysfunction. These symptoms generally have an impact on everyday functioning. The incidence of prolonged symptoms following SARS-CoV-2 infection has proven challenging to define, but it is now clear that those with relatively mild initial infections, without severe initial respiratory disease or end-organ injury, can still develop chronic impairments, with symptoms that overlap with conditions like ME/CFS (profound fatigue, unrefreshing sleep, post-exertional malaise, cognitive dysfunction, and orthostatic intolerance). Summary We do not yet have a clear understanding of the mechanisms by which individuals develop post-COVID-19 conditions. There may be several distinct types of long COVID that require different treatments. At this point, there is no single pharmacologic agent to effectively treat all symptoms. Because some presentations of post-COVID-19 conditions mimic disorders such as ME/CFS, treatment guidelines for this and related conditions can be helpful for managing post-COVID-19 symptoms. Supplementary Information The online version contains supplementary material available at 10.1007/s40124-022-00261-4.
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Affiliation(s)
- Amanda K Morrow
- Kennedy Krieger Institute, Baltimore, MD USA
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Laura A Malone
- Kennedy Krieger Institute, Baltimore, MD USA
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Christina Kokorelis
- Kennedy Krieger Institute, Baltimore, MD USA
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Lindsay S Petracek
- Department of Pediatrics, Division of Adolescent/Young Adult Medicine, Johns Hopkins University School of Medicine, 200 N Wolfe St, Room 2077, Baltimore, MD USA
| | - Ella F Eastin
- Department of Pediatrics, Division of Adolescent/Young Adult Medicine, Johns Hopkins University School of Medicine, 200 N Wolfe St, Room 2077, Baltimore, MD USA
| | | | - Luise Neuendorff
- Division of Cardiology, Department of Internal Medicine, University of Toronto, Toronto, Canada
| | - Peter C Rowe
- Department of Pediatrics, Division of Adolescent/Young Adult Medicine, Johns Hopkins University School of Medicine, 200 N Wolfe St, Room 2077, Baltimore, MD USA
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