Matthew K Schroeder, Suha Abushamma, Alvin T George, Balakrishna Ravella, John Hickman, Anusha Elumalai, Paul Wise, Maria Zulfiqar, Daniel R Ludwig, Anup Shetty, Satish E Viswanath, Chongliang Luo, Shaji Sebastian, David H Ballard, Parakkal Deepak
{"title":"TOpCLASS Expert Consensus Classification of Perianal Fistulizing Crohn’s Disease: A Real-World Application in a Serial Fistula MRI Cohort","authors":"Matthew K Schroeder, Suha Abushamma, Alvin T George, Balakrishna Ravella, John Hickman, Anusha Elumalai, Paul Wise, Maria Zulfiqar, Daniel R Ludwig, Anup Shetty, Satish E Viswanath, Chongliang Luo, Shaji Sebastian, David H Ballard, Parakkal Deepak","doi":"10.1093/ecco-jcc/jjae056","DOIUrl":null,"url":null,"abstract":"Background and Aims Perianal fistulizing Crohn’s disease (PFCD) is an aggressive phenotype of Crohn’s disease defined by frequent relapses and disabling symptoms. A novel consensus classification system was recently outlined by the TOpCLASS consortium that seeks to unify disease severity with patient-centered goals but has not yet been validated. We aimed to apply this to a real-world cohort and identify factors that predict transition between classes over time. Methods We identified all patients with PFCD and at least one baseline and one follow-up pelvic (pMRI). TOpCLASS classification, disease characteristics, and imaging indices were collected retrospectively at time periods corresponding with respective MRIs. Results We identified 100 patients with PFCD of which 96 were assigned TOpCLASS Classes 1 – 2c at baseline. Most patients (78.1%) started in Class 2b, but changes in classification were observed in 52.1% of all patients. Male sex (72.0%, 46.6%, 40.0%, p = 0.03) and prior perianal surgery (52.0% vs 44.6% vs 40.0%, p = 0.02) were more frequently observed in those with improved class. Baseline pMRI indices were not associated with changes in classification, however, greater improvements in mVAI, MODIFI-CD, and PEMPAC were seen among those who improved. Linear mixed effect modeling identified only male sex (-0.31, 95% CI -0.60 to -0.02) with improvement in class. Conclusion The TOpCLASS classification highlights the dynamic nature of PFCD over time, however, our ability to predict transitions between classes remains limited and requires prospective assessment. Improvement in MRI index scores over time was associated with a transition to lower TOpCLASS classification.","PeriodicalId":15453,"journal":{"name":"Journal of Crohn's and Colitis","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Crohn's and Colitis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ecco-jcc/jjae056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background and Aims Perianal fistulizing Crohn’s disease (PFCD) is an aggressive phenotype of Crohn’s disease defined by frequent relapses and disabling symptoms. A novel consensus classification system was recently outlined by the TOpCLASS consortium that seeks to unify disease severity with patient-centered goals but has not yet been validated. We aimed to apply this to a real-world cohort and identify factors that predict transition between classes over time. Methods We identified all patients with PFCD and at least one baseline and one follow-up pelvic (pMRI). TOpCLASS classification, disease characteristics, and imaging indices were collected retrospectively at time periods corresponding with respective MRIs. Results We identified 100 patients with PFCD of which 96 were assigned TOpCLASS Classes 1 – 2c at baseline. Most patients (78.1%) started in Class 2b, but changes in classification were observed in 52.1% of all patients. Male sex (72.0%, 46.6%, 40.0%, p = 0.03) and prior perianal surgery (52.0% vs 44.6% vs 40.0%, p = 0.02) were more frequently observed in those with improved class. Baseline pMRI indices were not associated with changes in classification, however, greater improvements in mVAI, MODIFI-CD, and PEMPAC were seen among those who improved. Linear mixed effect modeling identified only male sex (-0.31, 95% CI -0.60 to -0.02) with improvement in class. Conclusion The TOpCLASS classification highlights the dynamic nature of PFCD over time, however, our ability to predict transitions between classes remains limited and requires prospective assessment. Improvement in MRI index scores over time was associated with a transition to lower TOpCLASS classification.