These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: Stability of irritable bowel syndrome using a Rome II-based classification.
    Author: Williams RE, Black CL, Kim HY, Andrews EB, Mangel AW, Buda JJ, Cook SF.
    Journal: Aliment Pharmacol Ther; 2006 Jan 01; 23(1):197-205. PubMed ID: 16393298.
    Abstract:
    BACKGROUND: As there is no biological marker for irritable bowel syndrome, a diagnosis is made using symptom-based criteria. AIM: To evaluate the stability of self-reported symptoms consistent with Rome II-based irritable bowel syndrome classification. METHODS: Irritable bowel syndrome subjects identified in a 2001 population-based study by modified Rome II criteria were re-contacted 2 years later. Data were collected via a web-based questionnaire. RESULTS: Of the 697 subjects, 30% remained in the same irritable bowel syndrome subtype in both surveys, 18.4% changed irritable bowel syndrome subtype and 52% no longer met the irritable bowel syndrome criteria at follow-up. Subjects continuing to meet the irritable bowel syndrome criteria were more likely to have been initially classified in the alternating irritable bowel syndrome subtype and had more psychological impairment and lower irritable bowel syndrome-related quality of life than subjects not fulfilling the irritable bowel syndrome criteria at follow-up. Lack of pain caused more subjects to fall out of the irritable bowel syndrome criteria than the absence of non-painful bowel symptoms. However, the majority of subjects that did not fulfill the pain component of the irritable bowel syndrome criteria continued to report abdominal pain of at least moderate severity. CONCLUSION: In a US population-based follow-up study using modified Rome II criteria, we found irritable bowel syndrome is episodic in nature and current classification is limited in capturing fluctuation of disease over time.
    [Abstract] [Full Text] [Related] [New Search]