Literature DB >> 29779084

Disease Activity Patterns Recorded Using a Mobile Monitoring System Are Associated with Clinical Outcomes of Patients with Crohn's Disease.

Eun Soo Kim1,2, Sung Kook Kim1, Byung Ik Jang3, Kyeong Ok Kim4, Eun Young Kim5, Yoo Jin Lee2, Hyun Seok Lee1, Sang Gyu Kwak6.   

Abstract

BACKGROUND: Usefulness of a mobile monitoring system for Crohn's disease (CD) has not been evaluated. We aimed to determine whether disease activity patterns depicted using a web-based symptom diary for CD could indicate disease clinical outcomes.
METHODS: Patients with CD from tertiary hospitals were prospectively invited to record their symptoms using a smartphone at least once a week. Disease activity patterns for at least 2 months were statistically classified into good and poor groups based on two factors in two consecutive time frames; the degree of score variation (maximum-minimum) in each frame and the trend (upward, stationary, or downward) of patterns indicated by the difference in the mean activity scores between two time frames.
RESULTS: Overall, 220 (82.7%) and 46 (17.3%) patients were included in good and poor groups, respectively. Poor group was significantly more associated with disease-related hospitalization (p = 0.004), unscheduled hospital visits (p = 0.005), and bowel surgery (p < 0.001) during the follow-up period than good group. In the multivariate analysis, poor patterns [odds ratio (OR) 2.62, p = 0.006], stricturing (OR 4.19, p < 0.001) or penetrating behavior (OR 2.27, p = 0.012), and young age at diagnosis (OR 1.06, p = 0.019) were independently associated with disease-related hospitalization. Poor patterns (OR 4.06, p = 0.006) and an ileal location (OR 5.79, p = 0.032) remained independent risk factors for unscheduled visits. Poor patterns (OR 15.2, p < 0.001) and stricturing behavior (OR 9.77, p = 0.004) were independent risk factors for bowel surgery.
CONCLUSION: The disease activity patterns depicted using a web-based symptom diary were useful indicators of poor clinical outcomes in patients with CD.

Entities:  

Keywords:  Crohn’s disease; Disease activity pattern; Smartphone

Mesh:

Year:  2018        PMID: 29779084     DOI: 10.1007/s10620-018-5110-8

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN: 0163-2116            Impact factor:   3.199


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