Taylor Petrucci BS , S. Jade Barclay MPH , Cortney Gensemer PhD , Jordan Morningstar BS , Victoria Daylor BFA , Kathryn Byerly BS , Erika Bistran BS , Molly Griggs MEd , James M. Elliot PhD , Teresa Kelechi RN, PhD , Shannon Phillips RN, PhD , Michelle Nichols RN, PhD , Steven Shapiro DMD, MD , Sunil Patel MD , Nabila Bouatia-Naji PhD , Russell A. Norris PhD
{"title":"高移动性埃勒斯-丹洛斯综合征的表型集群和多病并发症","authors":"Taylor Petrucci BS , S. Jade Barclay MPH , Cortney Gensemer PhD , Jordan Morningstar BS , Victoria Daylor BFA , Kathryn Byerly BS , Erika Bistran BS , Molly Griggs MEd , James M. Elliot PhD , Teresa Kelechi RN, PhD , Shannon Phillips RN, PhD , Michelle Nichols RN, PhD , Steven Shapiro DMD, MD , Sunil Patel MD , Nabila Bouatia-Naji PhD , Russell A. Norris PhD","doi":"10.1016/j.mayocpiqo.2024.04.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>To perform a retrospective clinical study in order to investigate phenotypic penetrance within a large registry of patients with hypermobile Ehlers-Danlos syndrome (hEDS) to enhance diagnostic and treatment guidelines by understanding associated comorbidities and improving accuracy in diagnosis.</p></div><div><h3>Patients and Methods</h3><p>From May 1, 2021 to July 31, 2023, 2149 clinically diagnosed patients with hEDS completed a self-reported survey focusing on diagnostic and comorbid conditions prevalence. K-means clustering was applied to analyze survey responses, which were then compared across gender groups to identify variations and gain clinical insights.</p></div><div><h3>Results</h3><p>Analysis of clinical manifestations in this cross-sectional cohort revealed insights into multimorbidity patterns across organ systems, identifying 3 distinct patient groups. Differences among these phenotypic clusters provided insights into diversity within the population with hEDS and indicated that Beighton scores are unreliable for multimorbidity phenotyping.</p></div><div><h3>Conclusion</h3><p>Clinical data on the phenotypic presentation and prevalence of comorbidities in patients with hEDS have historically been limited. This study provides comprehensive data sets on phenotypic presentation and comorbidity prevalence in patients with hEDS, highlighting factors often overlooked in diagnosis. The identification of distinct patient groups emphasizes variations in hEDS manifestations beyond current guidelines and emphasizes the necessity of comprehensive multidisciplinary care for those with hEDS.</p></div>","PeriodicalId":94132,"journal":{"name":"Mayo Clinic proceedings. Innovations, quality & outcomes","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2542454824000249/pdfft?md5=173024d0e7b069283554ef79152bdff4&pid=1-s2.0-S2542454824000249-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Phenotypic Clusters and Multimorbidity in Hypermobile Ehlers-Danlos Syndrome\",\"authors\":\"Taylor Petrucci BS , S. Jade Barclay MPH , Cortney Gensemer PhD , Jordan Morningstar BS , Victoria Daylor BFA , Kathryn Byerly BS , Erika Bistran BS , Molly Griggs MEd , James M. Elliot PhD , Teresa Kelechi RN, PhD , Shannon Phillips RN, PhD , Michelle Nichols RN, PhD , Steven Shapiro DMD, MD , Sunil Patel MD , Nabila Bouatia-Naji PhD , Russell A. Norris PhD\",\"doi\":\"10.1016/j.mayocpiqo.2024.04.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>To perform a retrospective clinical study in order to investigate phenotypic penetrance within a large registry of patients with hypermobile Ehlers-Danlos syndrome (hEDS) to enhance diagnostic and treatment guidelines by understanding associated comorbidities and improving accuracy in diagnosis.</p></div><div><h3>Patients and Methods</h3><p>From May 1, 2021 to July 31, 2023, 2149 clinically diagnosed patients with hEDS completed a self-reported survey focusing on diagnostic and comorbid conditions prevalence. K-means clustering was applied to analyze survey responses, which were then compared across gender groups to identify variations and gain clinical insights.</p></div><div><h3>Results</h3><p>Analysis of clinical manifestations in this cross-sectional cohort revealed insights into multimorbidity patterns across organ systems, identifying 3 distinct patient groups. Differences among these phenotypic clusters provided insights into diversity within the population with hEDS and indicated that Beighton scores are unreliable for multimorbidity phenotyping.</p></div><div><h3>Conclusion</h3><p>Clinical data on the phenotypic presentation and prevalence of comorbidities in patients with hEDS have historically been limited. This study provides comprehensive data sets on phenotypic presentation and comorbidity prevalence in patients with hEDS, highlighting factors often overlooked in diagnosis. The identification of distinct patient groups emphasizes variations in hEDS manifestations beyond current guidelines and emphasizes the necessity of comprehensive multidisciplinary care for those with hEDS.</p></div>\",\"PeriodicalId\":94132,\"journal\":{\"name\":\"Mayo Clinic proceedings. Innovations, quality & outcomes\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2542454824000249/pdfft?md5=173024d0e7b069283554ef79152bdff4&pid=1-s2.0-S2542454824000249-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mayo Clinic proceedings. 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Phenotypic Clusters and Multimorbidity in Hypermobile Ehlers-Danlos Syndrome
Objective
To perform a retrospective clinical study in order to investigate phenotypic penetrance within a large registry of patients with hypermobile Ehlers-Danlos syndrome (hEDS) to enhance diagnostic and treatment guidelines by understanding associated comorbidities and improving accuracy in diagnosis.
Patients and Methods
From May 1, 2021 to July 31, 2023, 2149 clinically diagnosed patients with hEDS completed a self-reported survey focusing on diagnostic and comorbid conditions prevalence. K-means clustering was applied to analyze survey responses, which were then compared across gender groups to identify variations and gain clinical insights.
Results
Analysis of clinical manifestations in this cross-sectional cohort revealed insights into multimorbidity patterns across organ systems, identifying 3 distinct patient groups. Differences among these phenotypic clusters provided insights into diversity within the population with hEDS and indicated that Beighton scores are unreliable for multimorbidity phenotyping.
Conclusion
Clinical data on the phenotypic presentation and prevalence of comorbidities in patients with hEDS have historically been limited. This study provides comprehensive data sets on phenotypic presentation and comorbidity prevalence in patients with hEDS, highlighting factors often overlooked in diagnosis. The identification of distinct patient groups emphasizes variations in hEDS manifestations beyond current guidelines and emphasizes the necessity of comprehensive multidisciplinary care for those with hEDS.