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Quantifying risk factors for microscopic colitis: A nationwide, retrospective cohort study.
Mohammed, Abdul; Ghoneim, Sara; Paranji, Neethi; Waghray, Nisheet.
Afiliação
  • Mohammed A; Division of Gastroenterology and Hepatology, MetroHealth Medical Center, 2500 MetroHealth Drive, Cleveland, OH, 44109, USA.
  • Ghoneim S; Department of Gastroenterology and Hepatology, University of Nebraska Medical Center, 42nd and, Emile St, Omaha, NE, 68198, USA.
  • Paranji N; Division of Gastroenterology and Hepatology, MetroHealth Medical Center, 2500 MetroHealth Drive, Cleveland, OH, 44109, USA.
  • Waghray N; Division of Gastroenterology and Hepatology, MetroHealth Medical Center, 2500 MetroHealth Drive, Cleveland, OH, 44109, USA. nwaghray@metrohealth.org.
Indian J Gastroenterol ; 41(2): 181-189, 2022 04.
Article em En | MEDLINE | ID: mdl-35190978
BACKGROUND: Microscopic colitis (MC) is associated with several risk factors; however, their relative risk has been variable and not thoroughly evaluated. We aimed to quantify the risk of medical comorbidities and medications associated with MC and treatment offered to these patients. METHODS: A population-based retrospective analysis in International Business Machines (IBM) Explorys (1999-2018), a pooled, de-identified database of 63 million patients in the USA, was performed. Odds ratios (OR) were calculated between MC and other diseases/medications. MC patients were also stratified by age to assess trends of MC in different age groups. RESULTS: A total of 1130 patients had MC in the database. Among medications, non-steroidal anti-inflammatory agents (OR, 20.2) and proton pump inhibitors (OR, 12.1) were associated with highest odds of MC. Among medical comorbidities, infectious gastroenteritis (OR, 26.6) and celiac disease (OR, 22.5) had the highest odds of being associated with MC. Tobacco smoking, psoriasis, Sjogren's syndrome, Clostridium difficile infection, and malabsorption syndromes all conferred odds greater than 10. CONCLUSION: Early identification of MC is critical for minimizing morbidity and mortality. Epidemiologic information can be integrated with current clinical algorithms to more rapidly identify patients at risk.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Colite Microscópica Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Colite Microscópica Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article