Literature DB >> 30746632

Personalized Inflammatory Bowel Disease Care Reduced Hospitalizations.

Julia J Liu1,2, Thomas Brent Rosson3, Jesse J Xie3,4, Zachary P Harris3,4, Regina G McBride5, Eric Siegel6, Curt Hagedorn3,4.   

Abstract

BACKGROUND AND AIMS: IBD patients with inadequately treated disease often relapse and require hospitalizations for further management. The purpose of this practice review was to determine whether personalized IBD care improved patient outcomes as measured by IBD-related hospitalizations.
METHODS: A dedicated IBD clinic was created for personalized patient care in a tertiary veterans health care center in 2014. In the first year, the care program consisted of patient-centered medical home (PCMH). In the second year, personalized biologic therapy was incorporated into the program, based on the severity of mucosal barrier dysfunction measured by probe-based confocal laser endomicroscopy (pCLE) analysis of the terminal ileum during colonoscopy. IBD-related hospitalizations during these 2 years were compared to the year before the care program.
RESULTS: The IBD-related admissions at baseline, year 1 and 2 of the program were: total number of admissions of 25, 24, 8 (P = 0.03) per year, total number of hospital days of 177, 144, 31 days per year (P < 0.01), median length of stay 7, 4, and 2 days per visit (P = 0.013), respectively. Patients had significant increases in serum hemoglobin (11.5 ± 2.7, 11.9 ± 2.6, 14.0 ± 1.4 g/dl; P = 0.035), albumin (2.7 ± 0.7, 3.0 ± 0.6 g/dl 3.7 ± 0.8 g/dl; P = 0.031) and body mass index (26.6 ± 2.9, 28.1 ± 5.9; 34.0 ± 10.8; P = 0.047).
CONCLUSIONS: Personalized IBD care incorporating a PCMH model and tailored biologic therapy based on pCLE findings of mucosal barrier dysfunction significantly reduced IBD-related hospitalizations.

Entities:  

Keywords:  Confocal laser endomicroscopy; Hospitalization; Inflammatory bowel disease; Medical home; Personalized medicine

Mesh:

Substances:

Year:  2019        PMID: 30746632     DOI: 10.1007/s10620-019-05485-x

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN: 0163-2116            Impact factor:   3.487


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Journal:  Gastroenterology       Date:  2015-08-29       Impact factor: 22.682

2.  Relationships between disease activity and serum and fecal biomarkers in patients with Crohn's disease.

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Journal:  Clin Gastroenterol Hepatol       Date:  2008-09-17       Impact factor: 11.382

3.  Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning.

Authors:  Akbar K Waljee; Rachel Lipson; Wyndy L Wiitala; Yiwei Zhang; Boang Liu; Ji Zhu; Beth Wallace; Shail M Govani; Ryan W Stidham; Rodney Hayward; Peter D R Higgins
Journal:  Inflamm Bowel Dis       Date:  2017-12-19       Impact factor: 5.325

4.  Patient trust-in-physician and race are predictors of adherence to medical management in inflammatory bowel disease.

Authors:  Geoffrey C Nguyen; Thomas A LaVeist; Mary L Harris; Lisa W Datta; Theodore M Bayless; Steven R Brant
Journal:  Inflamm Bowel Dis       Date:  2009-08       Impact factor: 5.325

5.  Correlations between clinical activity, endoscopic severity, and biological parameters in colonic or ileocolonic Crohn's disease. A prospective multicentre study of 121 cases. The Groupe d'Etudes Thérapeutiques des Affections Inflammatoires Digestives.

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6.  The Inflammatory Bowel Disease Specialty Medical Home: A New Model of Patient-centered Care.

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7.  Association between telephone activity and features of patients with inflammatory bowel disease.

Authors:  Claudia Ramos-Rivers; Miguel Regueiro; Eric J Vargas; Eva Szigethy; Robert E Schoen; Michael Dunn; Andrew R Watson; Marc Schwartz; Jason Swoger; Leonard Baidoo; Arthur Barrie; Anwar Dudekula; Ada O Youk; David G Binion
Journal:  Clin Gastroenterol Hepatol       Date:  2013-11-19       Impact factor: 11.382

8.  Clinical course in Crohn's disease: results of a Norwegian population-based ten-year follow-up study.

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10.  Recent trends in the prevalence of Crohn's disease and ulcerative colitis in a commercially insured US population.

Authors:  Michael D Kappelman; Kristen R Moore; Jeffery K Allen; Suzanne F Cook
Journal:  Dig Dis Sci       Date:  2012-08-29       Impact factor: 3.199

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