Lactulose and Glucose Breath Tests as Predictors of Clinical Benefit From Rifaximin in Irritable Bowel Syndrome
NCT ID: NCT01803724
Last Updated: 2013-03-04
Study Results
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Basic Information
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UNKNOWN
120 participants
OBSERVATIONAL
2013-05-31
2014-12-31
Brief Summary
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The objectives of this study are:
1. Determine which breath test (lactulose or glucose) predicts better a potential clinical benefit of antibiotic treatment (Rifaximin) in IBS patients.
2. Determine which of the multiples diagnostic criteria described for the lactulose breath test predicts better a potential clinical benefit Rifaximin in IBS patients.
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Detailed Description
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After the second test, patients will receive Rifaximin 400 mg TID (1200 mg/day) for 10 days. In the case of methane producers (defined as patients with basal methane levels \> 3 ppm) Neomycin 500 mg BID (1000 mg/day) for ten days will be added, as suggested by Low et al.
Two weeks after the antibiotic course, patients will be cited and the following data will be assessed: 1. Adequate relief for global IBS symptoms. 2. Adequate relief for bloating. 3. Evaluation of IBS severity using IBSSS. 4. Drug induced side effects. Only after that information is submitted by the patient, the results of the test will be revealed.
Patients will be classified as responders or not according to their global symptoms adequate relief status. Using this as gold standard criterion, the test performance, in terms of sensitivity, specificity, positive and negative predictive value, will be calculated for the following tests:
1. Glucose breath test. A ROC curve will be calculated to determine the best cutoff value
2. Lactulose breath test using the rise occurring before 60 min, without the presence of a double peak. A ROC curve will be calculated to determine the best cutoff value
3. Lactulose breath test using the rise occurring before 60 min, if there is a double peak. A ROC curve will be calculated to determine the best cutoff value
4. Lactulose breath test using the rise occurring before 90 min, without the presence of a double peak. A ROC curve will be calculated to determine the best cutoff value
5. Lactulose breath test using the rise occurring before 90 min, if there is a double peak. A ROC curve will be calculated to determine the best cutoff value
The different tests will be compared in terms of their performance at the optimal cutoff value and calculating the area under the ROC curve.
The sample size was calculated as previously suggested. Using Shah et al data, we assumed a sensitivity of 72% and a specificity of 66% for the lactulose breath test. Using an alpha and beta error of 5% and 20%, respectively, and a disease prevalence of 35% (SIBO in IBS), we estimate a sample size of 120 patients.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
2. Previous intestinal (small or large bowel) resection
3. Known anatomical intestinal alterations, including diverticula and stenosis
4. Inflamatory bowel disease (Crohn´s or ulcerative colitis)
5. Presence of IBS alarm signs suggestive of organic disease, including anemia or family history of celiac disease or colon cancer
6. Recent acute onset diarrhea
7. Pregnancy
8. Neurologic or psychiatric disease that may not allow the patient to appropriately describe clinical outcomes
9. Presence of a disease that could affect intestinal transit, such as Parkinson´s, Chronic Intestinal Pseudobstruction, Scleroderma, Diabetes mellitus, etc
10. Impossibility to transitory withdraw drugs that affect intestinal transit, such as Calcium channel blockers, tricyclics
11. Inability to sign or rejection to informed consent
18 Years
80 Years
ALL
No
Sponsors
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Pontificia Universidad Catolica de Chile
OTHER
Responsible Party
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Principal Investigators
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Daniel Cisternas, MD
Role: STUDY_DIRECTOR
Pontificia Universidad Catolica de Chile
Roberto Candia, MD
Role: PRINCIPAL_INVESTIGATOR
Pontificia Universidad Catolica de Chile
Patricio Ibañez, MD
Role: PRINCIPAL_INVESTIGATOR
Pontificia Universidad Catolica de Chile
Juan Pablo Ortega, MD
Role: PRINCIPAL_INVESTIGATOR
Pontificia Universidad Catolica de Chile
Locations
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Department of Gastroenterology, Pontificia Universidad Catolica de Chile
Santiago, Metropolitan, Chile
Countries
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Central Contacts
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Facility Contacts
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References
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Parkes GC, Brostoff J, Whelan K, Sanderson JD. Gastrointestinal microbiota in irritable bowel syndrome: their role in its pathogenesis and treatment. Am J Gastroenterol. 2008 Jun;103(6):1557-67. doi: 10.1111/j.1572-0241.2008.01869.x. Epub 2008 May 29.
Lin HC. Small intestinal bacterial overgrowth: a framework for understanding irritable bowel syndrome. JAMA. 2004 Aug 18;292(7):852-8. doi: 10.1001/jama.292.7.852.
DuPont AW, DuPont HL. The intestinal microbiota and chronic disorders of the gut. Nat Rev Gastroenterol Hepatol. 2011 Aug 16;8(9):523-31. doi: 10.1038/nrgastro.2011.133.
Gasbarrini A, Corazza GR, Gasbarrini G, Montalto M, Di Stefano M, Basilisco G, Parodi A, Usai-Satta P, Vernia P, Anania C, Astegiano M, Barbara G, Benini L, Bonazzi P, Capurso G, Certo M, Colecchia A, Cuoco L, Di Sario A, Festi D, Lauritano C, Miceli E, Nardone G, Perri F, Portincasa P, Risicato R, Sorge M, Tursi A; 1st Rome H2-Breath Testing Consensus Conference Working Group. Methodology and indications of H2-breath testing in gastrointestinal diseases: the Rome Consensus Conference. Aliment Pharmacol Ther. 2009 Mar 30;29 Suppl 1:1-49. doi: 10.1111/j.1365-2036.2009.03951.x.
Design of Treatment Trials Committee; Irvine EJ, Whitehead WE, Chey WD, Matsueda K, Shaw M, Talley NJ, Veldhuyzen van Zanten SJ. Design of treatment trials for functional gastrointestinal disorders. Gastroenterology. 2006 Apr;130(5):1538-51. doi: 10.1053/j.gastro.2005.11.058.
Fleiss, J.L., Statistical methods for rates and proportions. 2d ed. Wiley series in probability and mathematical statistics. 1981, New York: Wiley. xviii, 321 p
Flahault A, Cadilhac M, Thomas G. Sample size calculation should be performed for design accuracy in diagnostic test studies. J Clin Epidemiol. 2005 Aug;58(8):859-62. doi: 10.1016/j.jclinepi.2004.12.009.
Saito YA, Schoenfeld P, Locke GR 3rd. The epidemiology of irritable bowel syndrome in North America: a systematic review. Am J Gastroenterol. 2002 Aug;97(8):1910-5. doi: 10.1111/j.1572-0241.2002.05913.x.
Gwee KA. Irritable bowel syndrome in developing countries--a disorder of civilization or colonization? Neurogastroenterol Motil. 2005 Jun;17(3):317-24. doi: 10.1111/j.1365-2982.2005.00627.x.
Yang J, Lee HR, Low K, Chatterjee S, Pimentel M. Rifaximin versus other antibiotics in the primary treatment and retreatment of bacterial overgrowth in IBS. Dig Dis Sci. 2008 Jan;53(1):169-74. doi: 10.1007/s10620-007-9839-8. Epub 2007 May 23.
Di Stefano M, Malservisi S, Veneto G, Ferrieri A, Corazza GR. Rifaximin versus chlortetracycline in the short-term treatment of small intestinal bacterial overgrowth. Aliment Pharmacol Ther. 2000 May;14(5):551-6. doi: 10.1046/j.1365-2036.2000.00751.x.
Lauritano EC, Gabrielli M, Scarpellini E, Ojetti V, Roccarina D, Villita A, Fiore E, Flore R, Santoliquido A, Tondi P, Gasbarrini G, Ghirlanda G, Gasbarrini A. Antibiotic therapy in small intestinal bacterial overgrowth: rifaximin versus metronidazole. Eur Rev Med Pharmacol Sci. 2009 Mar-Apr;13(2):111-6.
Khoshini R, Dai SC, Lezcano S, Pimentel M. A systematic review of diagnostic tests for small intestinal bacterial overgrowth. Dig Dis Sci. 2008 Jun;53(6):1443-54. doi: 10.1007/s10620-007-0065-1.
Francis CY, Morris J, Whorwell PJ. The irritable bowel severity scoring system: a simple method of monitoring irritable bowel syndrome and its progress. Aliment Pharmacol Ther. 1997 Apr;11(2):395-402. doi: 10.1046/j.1365-2036.1997.142318000.x.
Shah ED, Basseri RJ, Chong K, Pimentel M. Abnormal breath testing in IBS: a meta-analysis. Dig Dis Sci. 2010 Sep;55(9):2441-9. doi: 10.1007/s10620-010-1276-4. Epub 2010 May 14.
Other Identifiers
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PUC-0003
Identifier Type: -
Identifier Source: org_study_id
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