| Literature DB >> 30630426 |
Yun Qiu1, Baili Chen1, Yufei Li1, Shanshan Xiong1, Shenghong Zhang1, Yao He1, Zhirong Zeng1, Shomron Ben-Horin1,2, Minhu Chen1, Ren Mao3,4.
Abstract
BACKGROUND: The incidence of Ulcerative colitis (UC) in Asia is increasing but reports on its long-term course are few. The aim of this study was to identify risk factors predictive of extent progression in Asian patients with UC and to evaluate the clinical outcome by longitudinal follow-up.Entities:
Keywords: Disease extension; Progression; Risk factor; Ulcerative colitis
Mesh:
Substances:
Year: 2019 PMID: 30630426 PMCID: PMC6327558 DOI: 10.1186/s12876-018-0928-2
Source DB: PubMed Journal: BMC Gastroenterol ISSN: 1471-230X Impact factor: 3.067
Characteristics of Patients
| N | % | |
|---|---|---|
| Gender, n [%] | ||
| Male | 371 | 58.7 |
| Female | 261 | 41.3 |
| Age [years] at diagnosis, median [IQR] | 37.02(27.49–46.88) | |
| Smoking | ||
| Never smoked | 513 | 81.1 |
| Disease extent at diagnosis, n [%] | ||
| E1 | 183 | 34.4 |
| E2 | 175 | 32.9 |
| E3 | 174 | 32.7 |
| Severity | ||
| mild | 348 | 66.6 |
| moderate | 145 | 27.7 |
| severe | 30 | 5.7 |
| Medical treatment during follow-up | ||
| 5-Aminosalocylatesa | 373 | 59 |
| oral | 196 | 31 |
| topical | 56 | 8.9 |
| oral and topical | 121 | 19.1 |
| Corticosteroid | 224 | 35.4 |
| Immunomodulator | 109 | 17.3 |
| AZA | 99 | 15.9 |
| 6-MP | 11 | 1.8 |
| Methotrexate | 18 | 2.9 |
| Thalidomide | 5 | 0.8 |
| Cyclosporine | 7 | 1.1 |
| Biologics | 11 | 1.7 |
Note: a Patients with combined use of 5-ASA and steroid/IMMs were counted in the Steroid/IMMs group
Fig. 1Flow chart of the study
Fig. 2The cumulative rate of disease progression in patients
Fig. 3Comparison of disease progression in patients with a) different disease extent at diagnosis and b) steroid-dependence or not. The effect of disease distribution or steroids dependence on the probability of disease progression was evaluated using time-to-event [survival] methods for censored observations, because of the varying length of follow-up. Time to event was calculated from the date of diagnosis to the date of disease progression or censoring. Kaplan–Meier estimates were used to draw the cumulative incidence curves, compared by log-rank tests
Risk factors predictive of disease extension in UC
| Univariate analysis | Multivariate analysis | |||||
|---|---|---|---|---|---|---|
| OR | 95.0% CI |
| OR | 95.0% CI |
| |
| Gender | ||||||
| female | 1.1 | 0.61–1.97 | 0.76 | |||
| male | Reference | |||||
| Age | ||||||
| < 40 yrs. | 1.57 | 0.79–3.12 | 0.20 | |||
| | Reference | |||||
| Smoker | ||||||
| yes | 0.47 | 0.15–1.47 | 0.17 | |||
| no | Reference | |||||
| Extent | ||||||
| Limited(E1/2) | 1.99 | 1.29–3.07 | < 0.01 | 1.74 | 1.18–2.57 | 0.01 |
| extent | Reference | |||||
| Disease severity | ||||||
| severe vs | 1.1 | 0.58–2.10 | 0.77 | |||
| mild | Reference | |||||
| Corticosteroids use | ||||||
| yes | 0.64 | 0.32–1.27 | 0.20 | |||
| no | Reference | |||||
| Immunosuppressive agents use | ||||||
| yes | 0.47 | 0.24–0.91 | 0.02 | |||
| no | Reference | |||||
| Diagnostic delay | ||||||
| < 6 months | 1.04 | 0.60–1.80 | 0.89 | |||
| > 6 months | Reference | |||||
The outcomes between patients with and without disease extension during follow-up
| extenders ( | non-extenders ( | ||
|---|---|---|---|
| Steroid use | 47(51.6%) | 120 (28.1%) | < 0.01 |
| Immunosuppressive agents use | 36 (39.6%) | 48(11.2%) | < 0.01 |
| Colectomy | 2(2.2%) | 5(1.2%) | 0.98 |
| Hospitalization | 13(14.3%) | 26(6.1%) | 0.51 |
| Severe UC | 13(14.3%) | 26(6.1%) | 0.51 |
Note: Time to event was calculated from the date of latest endoscopy evaluation to the date of each event (steroids or IMM use etc.) or censoring (the last follow-up)
Fig. 4Cumulative rate of a) steroid utilization, and b) immunosuppressive agents use in patients with and without disease progression. Time to event was calculated from the date of index endoscopy evaluation to the date of steroids or IMM use or censoring (the last follow-up). Kaplan–Meier estimates were used to draw the cumulative incidence curves, compared by log-rank tests.