| Literature DB >> 35120446 |
Ji Li1, Zhanju Liu2, Pinjin Hu3, Zhonghui Wen4, Qian Cao5, Xiaoping Zou6, Yan Chen7, Yingde Wang8, Jie Zhong9, Xizhong Shen10, Dirk Demuth11, Olga Fadeeva11, Li Xie12, Jun Chen12, Jiaming Qian13.
Abstract
BACKGROUND: Prevalence of inflammatory bowel disease (IBD) is increasing in China. The EXPLORE study evaluated the incidence and indicators of suboptimal responses to first-line anti-tumor necrosis factor (TNF) in patients with ulcerative colitis (UC) or Crohn's disease (CD). We present results for the mainland China subgroup.Entities:
Keywords: Anti-tumor necrosis factor; China; Inflammatory bowel disease; Sub-optimal response
Mesh:
Substances:
Year: 2022 PMID: 35120446 PMCID: PMC8817491 DOI: 10.1186/s12876-021-02074-z
Source DB: PubMed Journal: BMC Gastroenterol ISSN: 1471-230X Impact factor: 3.067
Demographic and clinical characteristics of the study patients
| UC (n = 35) | CD (n = 252) | |
|---|---|---|
| Observational period, months, median (min, max) | 27.6 (24, 60) | 40.0 (24, 60) |
| Male, n (%) | 19 (54.3) | 188 (74.6) |
| Age, years, mean (SD) | 43.1 (14.2) | 31.9 (11.3) |
| BMI, mean (SD) | 19.48 (2.47) | 18.90 (2.98) |
| Extraintestinal manifestations within 2 years, n (%) | 4 (11.4) | 4 (1.6) |
| Since appearance of IBD symptoms | 3.0 (1.0, 6.0) | 3.0 (1.0, 6.0) |
| Since diagnosis | 1.0 (0.0, 4.0) | 0.0 (0.0, 1.0) |
| IBD-related surgery since diagnosis, n (%)a | 0 (0) | 65 (26.6) |
| Proctitis involvement limited to the rectum | 2 (5.7) | – |
| Left-sided involvement limited to the proportion of the colon distal to the splenic flexure | 7 (20.0) | – |
| Extensive involvement extends proximal to the splenic flexure, including pancolitis | 21 (60.0) | – |
| Unknown | 5 (14.3) | – |
| Ileal with upper GI disease (L1 + L4) | – | 21 (8.3) |
| Ileal without upper GI disease (L1) | – | 18 (7.1) |
| Colonic with upper GI disease (L2 + L4) | – | 19 (7.5) |
| Colonic without upper GI disease (L2) | – | 30 (11.9) |
| Ileocolonic with upper GI disease (L3 + L4) | – | 32 (12.7) |
| Ileocolonic without upper GI disease (L3) | – | 104 (41.3) |
| Unknown | – | 28 (11.1) |
| Normal | 0 (0.0) | 13 (5.2) |
| Mild | 0 (0.0) | 25 (9.9) |
| Moderate | 4 (11.4) | 34 (13.5) |
| Severe | 22 (62.9) | 24 (9.5) |
| Unknown | 9 (25.7) | 156 (61.9) |
| Normal | 5 (14.3) | 52 (20.6) |
| Active | 26 (74.3) | 159 (63.1) |
| Unknown | 4 (11.4) | 41 (16.3) |
| Non-stricturing, non-penetrating with perianal disease (B1p) | – | 60 (23.8) |
| Non-stricturing, non-penetrating without perianal disease (B1) | – | 49 (19.4) |
| Stricturing with perianal disease (B2p) | – | 40 (15.9) |
| Stricturing without perianal disease (B2) | – | 30 (11.9) |
| Penetrating with perianal disease (B3p) | – | 17 (6.7) |
| Penetrating without perianal disease (B3) | – | 23 (9.1) |
| Unknown | – | 33 (13.1) |
| Yes | 27 (77.1) | 101 (40.1) |
| No | 7 (20.0) | 147 (58.3) |
| Unknown | 1 (2.9) | 4 (1.6) |
| Aminosalicylates | 21 (77.8) | 66 (65.3) |
| Antibiotics | 9 (33.3) | 20 (19.8) |
| Corticosteroids | 16 (59.3) | 47 (46.5) |
| 11 (40.7) | 47 (46.5) | |
| Azathioprine | 6 (22.2) | 44 (43.6) |
| Mercaptopurine | 3 (11.1) | 0 (0.0) |
| Methotrexate | 1 (3.7) | 5 (5.0) |
| Thalidomide | 0 (0.0) | 6 (5.9) |
| Tacrolimus | 1 (3.7) | 1 (1.0) |
| Cyclosporine A | 0 (0.0) | 1 (1.0) |
| Nutritional therapies | 2 (7.4) | 33 (32.7) |
| Other | 15 (55.6) | 46 (45.5) |
| Intolerant | 0 | 6 (2.4) |
| Dependent | 13 (37.1) | 23 (9.1) |
| Not dependent or intolerant | 9 (25.7) | 21 (8.3) |
| Unknown | 13 (37.1) | 202 (80.2) |
| Duration of non-biologic therapy discontinued before index date, months, mean (SD)c | 1.2 (2.1) | 1.1 (2.5) |
| Concomitant non-biologic therapy at index date, n (%) | 24 (68.6) | 108 (42.9) |
| Aminosalicylates | 19 (54.3) | 77 (30.6) |
| Corticosteroids | 8 (22.9) | 35 (13.9) |
| Immunosuppressants | 5 (14.3) | 22 (8.7) |
BMI body mass index, CD Crohn’s disease, GI gastrointestinal, IBD inflammatory bowel disease, IQR interquartile range, UC ulcerative colitis, SD standard deviation
aIBD-related surgeries including total proctocolectomy, total and partial colectomy, ileocolonic bowel resection, small bowel resection, strictureplasty, perianal surgery, ileostomy reversal; bMontreal classification; cn = 31 for UC and n = 67 for CD
Anti-TNF treatment history
| UC (n = 35) | CD (n = 252) | |
|---|---|---|
| First-line anti-TNF therapy, n (%) | ||
| Infliximab | 35 (100) | 252 (100) |
| Treatment period, months, median (IQR) | 5.8 (1.4, 8.8) | 12.8 (7.6, 33.9) |
| Second anti-TNF therapy, n (%) | 1 (2.9) | 10 (4.0) |
| Adalimumab, n/N (%) | 1/1 (100) | 1/10 (10) |
| Treatment period, months, median | 3.9 (3.9, 3.9) | 5.0 (5.0, 5.0) |
| (IQR) | ||
| Infliximab, n/N (%) | 0 | 9/10 (90) |
| Treatment period, months, median (IQR) | – | 11.2 (7.1, 17.6) |
CD Crohn’s disease, IQR interquartile range, TNF tumor necrosis factor, UC ulcerative colitis
Fig. 1Cumulative incidence of suboptimal response to first-line anti-TNF therapy in patients with IBD in China. IBD inflammatory bowel disease, TNF tumor necrosis factor
Fig. 2First indicators of suboptimal response to first-line anti-TNF therapy in patients with IBD in China. IBD inflammatory bowel disease, TNF tumor necrosis factor
Fig. 3Cumulative incidence of A discontinuation of anti-TNF therapy, B IBD-related hospitalizations and C surgery as indicators of suboptimal response in patients with IBD in China. CD Crohn’s disease, IBD inflammatory bowel disease, TNF tumor necrosis factor, UC ulcerative colitis
Fig. 4Cumulative incidence of primary non-response and secondary loss of response to anti-TNF therapy in patients with IBD in China. IBD inflammatory bowel disease, TNF tumor necrosis factor
Fig. 5Multivariate Cox proportional hazards model for potential predictors of suboptimal response to anti-TNF therapy over time in patients with CD in China. BMI, body mass index, CD Crohn’s disease, CI confidence interval, HR hazard ratio, TNF tumor necrosis factor, Ref Reference risk factor level. P-value, Test assessing if there is any difference in the event rate for this level of the risk factor versus the reference level. Overall P-value, Test assessing if there is any difference in the event rate across the different levels of the risk factor