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.
Methods
A retrospective chart review was performed in adults with IBD at 10 centers in mainland China who initiated anti-TNF therapy between 01 March 2010 and 01 March 2015. The cumulative incidence of suboptimal response to first-line anti-TNF therapy was assessed over 24 months using the Kaplan–Meier method. Indicators of suboptimal response were: dose escalation, discontinuation, augmentation with non-biologic therapy, or IBD-related surgery/hospitalization. At site initiation, a survey was conducted with participating physicians to identify barriers to anti-TNF use.
Results
Of 287 patients (72% male) examined, 16/35 (45.7%) with UC and 123/252 (48.8%) with CD experienced a suboptimal response to first-line anti-TNF therapy at any point during the observation period (median 27.6 and 40.0 months, respectively). At 1 and 2 years post anti-TNF initiation, the cumulative incidence of suboptimal response was 51.4% and 75.7% for UC and 45.4% and 57.0% for CD, respectively. Median time to first suboptimal response was 7.2 months for UC and 14.3 months for CD. The most frequent indicator of suboptimal response was discontinuation of anti-TNF therapy (9/16, 56.3%) for UC and IBD-related hospitalization for CD (69/123, 56.1%) followed by augmentation with non-biologic therapy for both cohorts (5/16, 31.3% for UC and 28/123, 22.8% for CD). Dose escalation was the least frequent indicator of suboptimal response to anti-TNF therapy (CD: 4/123, 3.3%; UC: not cited as an indicator). The cumulative incidence of suboptimal response within 4 months of first-line anti-TNF therapy (primary non-response) was over 30% in both cohorts. Financial reasons and reimbursement were identified by surveyed physicians as the most common barriers to prescribing an anti-TNF therapy.
Conclusions
Over one-half of patients with IBD are at risk of experiencing a suboptimal response to first-line anti-TNF therapy at 2 years post-initiation in China. This study highlights a substantial unmet need associated with anti-TNF therapies in China. (Clinicaltrials.gov identifier: NCT03090139).
Supplementary Information
The online version contains supplementary material available at 10.1186/s12876-021-02074-z.
Keywords: Anti-tumor necrosis factor, China, Inflammatory bowel disease, Sub-optimal response
Introduction
Inflammatory bowel disease (IBD), which includes ulcerative colitis (UC) and Crohn’s disease (CD), is a chronic, relapsing disease of the gastrointestinal tract [1]. While the burden of IBD is greatest in North America and Europe, the incidence of IBD is rapidly increasing in newly industrialized countries in Asia [2]. This includes China, where the crude incidence of IBD is increasing at a faster rate than other countries in Asia, ranging from 0.54 to 3.44 per 100,000 individuals in 2011 [3, 4]. While the age-standardized incidence of IBD in China remains about one-third of that in the US, the growing burden of disease, particularly if it is not well managed, presents a significant challenge for the Chinese healthcare system [2]. This observation is most likely related to urbanization and environmental and lifestyle changes; however, an increased awareness of IBD may also be contributing to this changing pattern [5].
Anti-tumor necrosis factor (anti-TNF) therapy was the first class of biologic therapy approved for patients with moderate-to-severe IBD or who have had an inadequate response to conventional therapy, such as aminosalicylates, corticosteroids, or immunomodulators [6–8]. However, more than half of patients with IBD either do not respond to anti-TNF therapies (primary non-response), or lose response over time (secondary loss of response) within 2 years of initiating treatment [7, 9]. Therefore, these patients often require dose escalation or discontinuation, switching, non-biologic therapy initiation or escalation, or surgery [10]. These indicators of suboptimal therapy were found to be common in patients with IBD in Western nations [7]. In China, infliximab was the only approved anti-TNF therapy for patients with CD until December 2019, and data on the outcomes of infliximab use in IBD from China are limited.
The EXPLORE study assessed the incidence and indicators of suboptimal response to first-line anti-TNF therapy in patients with IBD in real-world clinical practice across 10 newly industrialized countries and regions across Asia–Pacific, Latin America, Russia and the Middle East [5]. This subgroup analysis further investigates the characteristics of patients with IBD in mainland China and describes their response to anti-TNF therapy. Local barriers to prescribing anti-TNF therapy were also investigated.
Methods
Study aim, design and data collection
This study aims to assess the incidence and indicators of suboptimal response to first-line anti-TNF therapy in patients with IBD, and the treatment practices of physicians, in 10 hospitals in China as part of the EXPLORE study. Full methodological details have been published previously by Yamamoto-Furusho et al. [5]. Briefly, the EXPLORE study (Clinicaltrials.gov identifier: NCT03090139) was a multinational, retrospective chart review study of adults (≥ 18 years) with IBD who initiated anti-TNF therapy between 01 March 2010 and 01 March 2015 (defined as the index date), and were observed for a minimum of 2 years, and up to 5 years. Patients with an intermediate/unspecified type IBD, who were part of an IBD-related clinical trial during the observational period, received an anti-TNF therapy for any non-UC or non-CD condition or anti-TNF therapy that was outside of the labelled dosing regimen (e.g., episodic administration), had undergone a total colectomy, or whose medical records were unavailable were excluded from the study.
Data from patients residing in mainland China were extracted from either paper or electronic medical records by site personnel across 10 study sites, and information on demographics, medical history, disease location, behavior, and medication history were recorded. Disease activity was primarily based on the closest assessment within 6 months prior to the index date of any endoscopic measurement, if available, or of any documented measurement of full Mayo Score [11] (UC: 0–2 normal, 3–5 mild, 6–10 moderate, 11–12 severe), partial Mayo Score [12] (UC: 0–1 normal, 2–4 mild, 5–7 moderate, > 7 severe), Crohn’s Disease Activity Index [13] (CD: < 150 normal, 150–219 mild, 220–450 moderate, > 450 severe), Harvey-Bradshaw Index [14] (CD: 0–4 normal, 5–7 mild, 8–16 moderate, ≥ 16 severe) or Physician’s Global Assessment [11] (0 normal, 1 mild, 2 moderate, 3 severe). Biochemical activity was based on the closest assessment within 6 months prior to the index date of C-reactive protein (active if ≥ 5 mg/L), albumin (active if < 3.5 g/dL) or fecal calprotectin (active if ≥ 250 mg/kg).
As part of the EXPLORE study, a physician survey was also conducted between June 2017 and June 2018 to review physicians’ experience in managing patients with IBD, including barriers to prescribing anti-TNF therapies and perceived patient challenges in receiving anti-TNF therapies. Participating physicians at selected study sites (all 10 sites in China were selected) were asked to complete a single electronic questionnaire at the time of study initiation. A copy of this questionnaire is included in Additional file 1: Appendix 1.
The study was conducted in accordance with local regulatory and local ethics committee approvals in China. Written informed consent was obtained for all living patients at The First Affiliated Hospital of Dalian Medical University and Zhongshan Hospital Fudan University. A waiver of informed consent was granted by the local ethics committee at the remaining eight sites (Peking Union Medical College Hospital; The Sixth Affiliated Hospital of Sun Yat-sen University; Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine; West China Hospital, Sichuan University; No. 10 People's Hospital of Shanghai; Ruijin Hospital Shanghai Jiao Tong University School of Medicine; The Second Affiliated Hospital of Zhejiang University School of Medicine; and The Affiliated Drum Tower Hospital of Nanjing University) because data were obtained by a retrospective chart review. The study protocol also conformed to the ethical guidelines of the 1975 Declaration of Helsinki as reflected by a priori approval by each institution’s human research committee.
Study outcomes and statistical considerations
The primary outcome was the incidence of suboptimal response to first-line anti-TNF therapy, with the current subgroup analysis focusing on patients from mainland China with UC or CD. Suboptimal response was defined as experiencing ≥ 1 of the following events: anti-TNF dose escalation (any increase in dose and/or frequency of anti-TNF therapy due to non-response that occurs > 4 months after the start of treatment); augmentation with non-biologic therapy (starting or increasing the dose and/or frequency of a concomitant non-biologic therapy due to non-response); discontinuation of anti-TNF therapy (including switching to another anti-TNF therapy within 2 months of discontinuation due to non-response, but excluding events resulting from clinical improvement, adverse events, patient choice or reimbursement issues); or IBD-related surgery (colectomy, ileocolectomy, ostomy, fistula repair, abscess repair, or strictureplasty) or hospitalization (admission for reasons related to non-response/worsening of disease and with a stay of ≥ 3 days, and excluding admission for diagnostic procedures).
Additional outcomes of interest included primary non-response (suboptimal response occurring ≤ 4 months of index date), secondary loss of response (suboptimal response occurring > 4 months after index date, among patients who did not experience primary non-response), time to treatment discontinuation, time to first surgery, and time to first hospitalization. Responses to the physician survey identified physician- and patient-related barriers to anti-TNF use.
Descriptive statistics included proportions for categorical variables and the mean ± standard deviation (SD) or median and range for continuous variables. The Kaplan–Meier method was used to assess the cumulative incidence of suboptimal response. Patients were censored at the end of the observation period or at treatment discontinuation if treatment discontinuation was unrelated to clinical response.
A post-hoc univariate and multivariate analysis using a Cox proportional model was applied to investigate baseline patient characteristics that were predictive of suboptimal response to anti-TNF therapy in patients with CD. All variables with a univariate p < 0.20 were included in the multivariate model. Age was a forced variable in the multivariate analysis. Where overlapping factors were identified in the univariate analysis, only the most relevant parameter was included.
Furthermore, a post-hoc univariate and multivariate logistic regression analysis was also conducted to identify potential predictors of primary non-response and secondary loss of response in patients with CD. Variables with a univariate p < 0.20 were included in the multivariate model; a limit of 1 covariate per 10 events was applied (those covariates with the highest significance were included). Age and sex were forced variables in the multivariate analyses.
Given the small number of patients with UC (and thus, event rate), post-hoc univariate and multivariate analyses were not conducted for the UC cohort.
Results
Demographic and clinical characteristics at index date
The EXPLORE study included 287 patients with IBD (UC, n = 35; CD, n = 252) treated with first-line anti-TNF therapy at 10 centers in mainland China. The majority of patients were male (72.1%) and the mean (SD) age of patients was 43.1 (14.2) years in the UC cohort and 31.9 (11.3) years in the CD cohort (Table 1). The median duration of IBD symptoms was 3.0 years (interquartile range 1.0, 6.0) for both patients with UC or CD. Among those for whom clinical disease activity was assessed, 100% (26/26) of patients with UC and 60.4% (58/96) of patients with CD had moderate or severe disease activity at the index date. The majority of patients with UC had extensive disease (60.0%, 21/35), while most patients with CD had ileocolonic disease (54.0%, 136/252). CD disease behavior was most often non-stricturing and non-penetrating (43.3%, 109/252), while 46.4% (117/252) of patients had perianal disease. A total of 77.1% (27/35) of patients with UC and 40.1% (101/252) of patients with CD received prior non-biologic therapy, with aminosalicylates being the most prescribed therapy in both groups. At the index date, 68.6% (24/35) of patients with UC and 42.9% (108/252) of patients with CD were receiving concomitant non-biologic therapy, most commonly aminosalicylates. The median (range) observational period was 27.6 (24, 60) months and 40.0 (24, 60) months for the UC and CD patient cohorts, respectively.
Table 1.
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) |
Duration of IBD, years, median (IQR) | ||
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) |
UC disease location at diagnosis, n (%) | ||
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) | – |
CD disease location at diagnosis, n (%)b | ||
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) |
Disease activity, n (%) | ||
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) |
Biochemical activity, n (%) | ||
Normal | 5 (14.3) | 52 (20.6) |
Active | 26 (74.3) | 159 (63.1) |
Unknown | 4 (11.4) | 41 (16.3) |
Disease behavior, n (%)b | ||
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) |
Prior non-biologic therapy, n (%) | ||
Yes | 27 (77.1) | 101 (40.1) |
No | 7 (20.0) | 147 (58.3) |
Unknown | 1 (2.9) | 4 (1.6) |
Prior non-biologic therapy, n (%) | ||
Aminosalicylates | 21 (77.8) | 66 (65.3) |
Antibiotics | 9 (33.3) | 20 (19.8) |
Corticosteroids | 16 (59.3) | 47 (46.5) |
Immunosuppressants | 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) |
Corticosteroid status | ||
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
Demographic and clinical characteristics at index date were also categorized according to suboptimal response to first-line anti-TNF therapy (Additional file 1: Table S1).
Biologic treatment patterns at index date
All patients with UC and CD received infliximab as their first-line anti-TNF therapy with a median (interquartile range) duration of treatment of 5.8 (1.4, 8.8) and 12.8 (7.6, 33.9) months, respectively (Table 2). Subsequent anti-TNF therapy with adalimumab was administered to 2.9% (1/35) of patients in the UC cohort and 0.4% (1/252) of patients in the CD cohort. A further 3.6% (9/252) of patients in the CD cohort reinitiated infliximab with a median (interquartile range) duration of treatment of 11.2 (7.1, 17.6) months.
Table 2.
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
Incidence of suboptimal response
In total, 45.7% (16/35) and 48.8% (123/252) of patients in the UC and CD cohorts, respectively, experienced a suboptimal response to their first-line anti-TNF therapy during the observation period. At 12 and 24 months, the cumulative incidence of suboptimal response to first-line anti-TNF treatment was 51.4% and 75.7% in patients with UC, and 45.4% and 57.0% in patients with CD, respectively (Fig. 1). The median time to the first suboptimal response was 7.2 months in patients with UC and 14.3 months in patients with CD.
Indicators of suboptimal response
For patients with UC and a suboptimal response to anti-TNF therapy, the most frequent first indicator was discontinuation of anti-TNF therapy (9/16, 56.3%), while the most frequent first indicator for patients with CD was IBD-related hospitalization (69/123, 56.1%). Augmentation with non-biologic therapy was the second most common first indicator of a suboptimal response in both UC (5/16, 31.3%) and CD (28/123, 22.8%) cohorts (Fig. 2). Dose escalation was the least frequent first indicator of suboptimal response to anti-TNF therapy (0.0% for UC and 3.3% for CD).
The cumulative incidence of discontinuation of first-line anti-TNF therapy was 30.9% and 65.5% for patients with UC at 12 and 24 months, respectively, compared with 0.8% and 1.6% of patients with CD (Fig. 3A). For IBD-related hospitalizations, the cumulative incidence of this event at 12 and 24 months was 6.6% for UC at both timepoints, and 26.8% and 32.1% for CD, respectively (Fig. 3B). No patients with UC in China experienced an IBD-related surgery during the initial 24 months of anti-TNF initiation, whereas the cumulative incidence of a surgical intervention was 5.7% and 8.5% in patients with CD, at 12 and 24 months, respectively (Fig. 3C).
Primary non-response and secondary loss of response
The cumulative incidence of primary non-response was 31.2% and 33.7% in the UC and CD patient cohorts during the observation period, respectively (Fig. 4). The cumulative incidence of secondary loss of response (in those patients not experiencing primary loss of response) at 12 and 24 months was 29.4% and 64.7% in patients with UC, respectively, and 17.7% and 35.2% in patients with CD.
Predictors of response to first-line anti-TNF therapy in patients with CD
Univariate analyses indicated that anti-TNF plus immunosuppressant combination therapy, biochemical severity index, disease behavior at index date, and prior surgery were predictive of suboptimal response in patients with CD (Additional file 1: Fig. S1). Patient sex, body mass index, corticosteroid dependence status at baseline, use of immunosuppressant therapy at index date, disease location at diagnosis, and the presence of an active fistula were also included as variables in the multivariate analysis. Following the multivariate analysis, only the use of combination therapy was protective against sub-optimal response to anti-TNF therapy, reducing the risk of sub-optimal response by 48% (Fig. 5).
An additional analysis was also conducted in patients with CD to establish predictors for primary non-response and secondary loss of response (univariate analysis not reported). No risk factors were identified for primary non-response (Additional file 1: Fig. S2) while prior surgery at baseline doubled the risk of secondary loss of response (Additional file 1: Fig. S3).
Physician survey
A total of 10 participating physicians who had a mean (SD) 15.6 (7.6) years’ experience treating IBD responded to the physician survey. The mean (SD) length of experience using anti-TNF agents was 7.7 (4.9) years. A mean (SD) of 232.3 (183.4) biologic-naïve patients with UC and 216.3 (289.6) with CD were referred to an IBD specialist center during 2016. A mean (SD) proportion of 18.2% (27.4%) of patients with UC and 45.0% (22.4%) of patients with CD who were medically indicated for treatment with anti-TNF therapy were estimated not to have received it.
All participating physicians cited at least three barriers to prescribing anti-TNF therapies to patients with IBD. Patient-related barriers to prescribing were reported by all physicians, most commonly financial barriers (9/10, 90.0%), fear of side effects (5/10, 50.0%) and patient age (4/10, 40.0%). Nine (90.0%) physicians also reported physician-related barriers, including a perceived safety risk (6/10, 60.0%) and surgical treatment being used prior to anti-TNF prescribing (3/10, 30.0%). Reimbursement was also considered to be a barrier to prescribing anti-TNF therapies by seven (70.0%) physicians.
Discussion
To our knowledge, the EXPLORE study is the first to comprehensively describe the suboptimal responses among patients with IBD treated with anti-TNF therapy in real-world clinical practice in China. We found that more than 1 in 2 patients with IBD in China were at risk of experiencing a suboptimal response to first-line anti-TNF therapy at 2 years post-initiation. The most frequently reported sub-optimal response indicators were anti-TNF discontinuation (for UC), IBD-related hospitalization (for CD) and augmentation with non-biologic therapy (for both UC and CD). Although conducted in only a small number of physicians, our survey also found that IBD specialists in mainland China remain skeptical about the use of anti-TNF therapy due to concerns about associated safety risks and immunogenicity. Together, our study highlights the substantial unmet medical need and suboptimal treatment outcomes with anti-TNF agents for the treatment of IBD in China.
The interpretation of data from the present study should take into consideration the fact that, at the time of this study, infliximab was the only approved anti-TNF for treating CD in China and marketing approval had not been granted for the use of infliximab in UC. As such, relatively few patients with UC were included in this study, the majority of whom had severe disease. Disease severity could be one explanation for the high suboptimal response rate to first-line anti-TNF therapy in the UC cohort. Our data among patients with CD may better reflect the real-world clinical pattern of patients with IBD in China. Within the CD cohort, IBD-related hospitalization was the most frequently reported first indicator of suboptimal response, reported in approximately one-third of patients receiving anti-TNF therapy. It is of concern that no prior indicator of suboptimal response, such as dose escalation, anti-TNF discontinuation, or augmentation with non-biologic therapy, was reported in these patients, as hospitalization is associated with substantial economic burden and may expose patients to nosocomial infections [15, 16]. It also highlights the suboptimal effectiveness of anti-TNF therapies in a substantial proportion of patients with IBD, which was further confirmed in our finding that 1 in 3 patients with CD experienced primary non-response to anti-TNF therapy. Interestingly, the anti-TNF discontinuation rate in patients with CD is low despite high rates of IBD-related hospitalization and primary non-response, potentially due to the lack of alternative therapies. In contrast, the anti-TNF discontinuation rate was high among patients with UC, possibly related to the fact that anti-TNF therapies were used in an off-label manner at that time. Together, our data highlight the suboptimal effectiveness of anti-TNF therapies as used in China in IBD as well as the lack of treatment options beyond anti-TNF therapies, at the time the study was conducted.
Augmentation with non-biologic therapy was also frequently reported as an indicator of suboptimal response in patients with CD. Concomitant immunosuppressive therapy is recommended in patients with CD receiving infliximab to reduce the risk of immunogenicity [17]. Our multivariate analysis of patients with CD in this subgroup analysis indicated that combining anti-TNF treatment with immunosuppressant therapy reduced the risk of a suboptimal response. However, combination use of anti-TNF therapy and thiopurines is associated with increased risk of malignancies including skin cancer and lymphoma [18–21]. This association may contribute to the perceived safety risks of anti-TNF therapies among physicians, as reported in our physician survey.
The cumulative incidences of suboptimal response observed were numerically higher than those observed in the overall EXPLORE population (2 years: UC, 76% vs 33%; CD, 57% vs 41%) [5], but are largely consistent with other real-world studies [7, 9]. A retrospective, multicenter chart review study in Europe and Canada found 64% of patients with UC and 58% of patients with CD were at risk of experiencing suboptimal therapy at 2 years of initiating anti-TNF treatment [7]. A separate US study reported a suboptimal response rate of 86% after 2 years of anti-TNF therapy [9]. Median times to first suboptimal response in this analysis (UC: 7.2 months, CD: 14.3 months) were substantially shorter than those in the multinational chart review in Europe and Canada (UC: 12.5 months, CD: 17.5 months) [7] and were characterized by a high proportion of patients (> 30%) having a primary non-response to anti-TNF treatment. The differences in the level of and time to suboptimal responses reported in China versus other regions is multifactorial but may be attributed to differences in prescribing patterns for anti-TNF therapy. In particular, affordability was frequently cited as a perceived barrier to biologic prescribing for patients with IBD in China. At the time the survey was undertaken, infliximab was not reimbursable for the treatment of IBD in China. Accordingly, a typical patient with IBD treated with anti-TNF therapy in China is likely to have been treated with a biologic therapy relatively later than patients in Western countries.
Real-world studies in Western IBD populations have reported dose escalation and discontinuation of therapy as the most common indicators of a suboptimal response [7, 9]. Notably, dose escalation was rare in China (0–3.3%) compared with the US (30–34% of patients within 2 years) and the European and Canadian study (21–30%), likely due to cost barriers favoring a switch to non-biologic immunomodulators. Furthermore, patients in Europe and Canada with CD were more likely to have been prescribed a non-biologic therapy at the index date (70.6%) compared with the population in mainland China investigated in this study (42.9%), potentially limiting the use of augmentation as a treatment strategy in earlier studies [7]. Notably, the augmentation approach was favored over dose escalation in this subgroup analysis, despite Asian populations also having a high prevalence of NUDT15 polymorphisms (10–20%) that are associated with thiopurine-related leukopenia [22]. In addition, the absence of routine therapeutic drug monitoring for patients with IBD in China at the time this study was undertaken, alongside cost barriers and infusion capacity, was likely a major limiting factor in the use of dose escalation as a treatment strategy to overcome suboptimal responses. However, the proportion of patients with CD in China requiring IBD-related hospitalization (32.1%) after 2 years was comparable with the overall post-1990 10-year rate for surgery among patients with CD reported in a systematic review and meta-analysis (38.7%) [23].
Several limitations need to be considered when interpreting the results of this post-hoc analysis. The nature of retrospective chart review studies means that suboptimal response indicators may be underestimated due to insufficient or inconsistent information being recorded in patient medical records and the reasoning for clinicians adjusting treatment regimen and patient outcomes (biochemical, clinical, endoscopic or quality of life) have not been captured. The off-label use of anti-TNF therapy and low numbers of patients with UC mean that the data set analyzed here must be interpreted with caution. While only 10 centers in mainland China participated in this study, potentially limiting the generalizability of the results, centers were located in North, East and South China, and included some of the largest anti-TNF prescribing centers in the country. Nonetheless, this study provides insights on the outcomes following first-line treatment with an anti-TNF therapy for IBD in China; the definition of suboptimal outcomes in this study was well established and aligned with a previous multinational chart review, allowing meaningful comparisons between countries [7, 9].
Conclusions
To the authors’ knowledge, these data are the first to demonstrate that over half of the patients with IBD in China who were prescribed anti-TNF therapy as their first-line biologic therapy are at risk of experiencing suboptimal response at 2 years of anti-TNF initiation. The most common indicators of suboptimal response were IBD-related hospitalization and anti-TNF discontinuation. We also found that approximately 1 in 3 patients with IBD experienced primary non-response. With the evidence for high risk of suboptimal response and primary non-response, the need for biologics with new mechanisms of action as alternative treatment options to anti-TNF agents is warranted in China. Our study adds to the current evidence base on the unmet need associated with anti-TNF therapies in China, where earlier recognition of treatment failures to allow timely alternative treatment decisions, revised reimbursement policies and/or new therapeutic options may improve long-term outcomes in patients with IBD.
Supplementary Information
Acknowledgements
The authors would like to thank all participating sites and research teams in China for their contribution to the EXPLORE study. Medical writing assistance was provided by Blair Hesp PhD CMPP and Magdalene Chu of MIMS (Hong Kong) Ltd., which was funded by Takeda (China) International Trading Company Ltd. (Shanghai, China), and complied with Good Publication Practice 3 ethical guidelines (Battisti et al. Ann Intern Med. 2015; 163: 461–4).
Abbreviations
- BMI
Body mass index
- CD
Crohn’s disease
- CI
Confidence interval
- GI
Gastrointestinal
- HR
Hazard ratio
- IBD
Inflammatory bowel disease
- IQR
Interquartile range
- PNR
Primary non-response
- SD
Standard deviation
- SLOR
Secondary loss of response
- TNF
Tumor necrosis factor
- UC
Ulcerative colitis
Authors' contributions
LX was involved in study conception and design, acquisition of data, data analysis and interpretation, drafting the manuscript, and manuscript revision for important intellectual content. JQ, OF and DD were involved in study conception and design, acquisition of data, data analysis and interpretation, and manuscript revision for important intellectual content. JL, JZ, PH, QC, XS, XZ, YC, YW, ZL and ZW were involved in acquisition of data, data analysis and interpretation, and manuscript revision for important intellectual content. JC was involved in data analysis and interpretation, and manuscript revision for important intellectual content. All authors read and gave final approval for the manuscript to be published and agreed to be accountable for all aspects of the work, which includes ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved, and being able to identify the contributions of each co-author and ensure the integrity of their contributions.
Funding
This study was supported by Takeda Pharmaceuticals Company Ltd., including funding medical writing support by MIMS (Hong Kong) Ltd. Takeda Pharmaceutical Company Ltd. was involved in all aspects of the study design, as well as collection, analysis and interpretation of data, and writing of the manuscript.
Availability of data and materials
The datasets, including the redacted study protocol, redacted statistical analysis plan, and individual patient data supporting the results reported in this article, will be made available within 3 months from initial requests, to researchers who provide a methodologically sound proposal. The data will be provided after its de-identification, in compliance with applicable privacy laws, data protection and requirements for consent and anonymization. Proposals should be directed to the corresponding author. Data requestors will need to sign a data access agreement.
Declarations
Ethics approval and consent to participate
This study was conducted in accordance with local regulatory and ethics committee approvals in China. Ethical approval for the study was obtained from the Ethics Committee of The First Affiliated Hospital of Dalian Medical University; Ethics Committee of Zhongshan Hospital Fudan University; Ethics Committee of Peking Union Medical College Hospital; Ethics Committee of The Sixth Affiliated Hospital of Sun Yat-sen University; Ethics Committee of Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine; Clinical Trial Ethics Committee of West China Hospital, Sichuan University; Ethics Committee of No. 10 People's Hospital of Shanghai; Ethics Committee of Ruijin Hospital Shanghai Jiao Tong University School of Medicine; Ethics Committee of The Second Affiliated Hospital of Zhejiang University School of Medicine; and Ethics Committee of The Affiliated Drum Tower Hospital of Nanjing University. Written informed consent for all living patients was obtained at two sites (The First Affiliated Hospital of Dalian Medical University and Zhongshan Hospital Fudan University). A waiver of informed consent was granted at the remaining eight sites (Peking Union Medical College Hospital; The Sixth Affiliated Hospital of Sun Yat-sen University; Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine; West China Hospital, Sichuan University; No. 10 People's Hospital of Shanghai; Ruijin Hospital Shanghai Jiao Tong University School of Medicine; The Second Affiliated Hospital of Zhejiang University School of Medicine; and The Affiliated Drum Tower Hospital of Nanjing University) because data were obtained via retrospective chart review. The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki as reflected in a priori approval by the institution’s human research committee.
Consent for publication
Not applicable.
Competing interests
DD and OF are employees of Takeda Pharmaceutical International AG Singapore. LX and JC are employees of Takeda (China) International Trading Co. Ltd. DD and LX hold stock options for Takeda Pharmaceutical Co. Ltd. JQ is an advisory committee/board member for Takeda Pharmaceuticals Co. Ltd. JL, JZ, PH, QC, XS, XZ, YC, YW, ZL, and ZW have nothing to disclose.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Nishida A, Inoue R, Inatomi O, Bamba S, Naito Y, Andoh A. Gut microbiota in the pathogenesis of inflammatory bowel disease. Clin J Gastroenterol. 2018;11:1–10. doi: 10.1007/s12328-017-0813-5. [DOI] [PubMed] [Google Scholar]
- 2.GBD 2017 Inflammatory Bowel Disease Collaborators. The global, regional, and national burden of inflammatory bowel disease in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol Hepatol. 2020;5:17–30. [DOI] [PMC free article] [PubMed]
- 3.Ng SC, Tang W, Ching JY, Wong M, Chow CM, Hui AJ, et al. Incidence and phenotype of inflammatory bowel disease based on results from the Asia–Pacific Crohn’s and colitis epidemiology study. Gastroenterology. 2013;145:158–165.e2. doi: 10.1053/j.gastro.2013.04.007. [DOI] [PubMed] [Google Scholar]
- 4.Ng SC, Shi HY, Hamidi N, Underwood FE, Tang W, Benchimol EI, et al. Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies. Lancet. 2017;390:2769–2778. doi: 10.1016/S0140-6736(17)32448-0. [DOI] [PubMed] [Google Scholar]
- 5.Yamamoto-Furusho JK, Al Harbi O, Armuzzi A, Chan W, Ponce de Leon E, Qian J, et al. Incidence of suboptimal response to tumor necrosis factor antagonist therapy in inflammatory bowel disease in newly industrialised countries: the EXPLORE study. Dig Liver Dis. 2020;52:869–77. [DOI] [PubMed]
- 6.Gomollón F, Dignass A, Annese V, Tilg H, Van Assche G, Lindsay JO, et al. 3rd European evidence-based consensus on the diagnosis and management of Crohn’s disease 2016: Part 1: diagnosis and medical management. J Crohns Colitis. 2017;11:3–25. doi: 10.1093/ecco-jcc/jjw168. [DOI] [PubMed] [Google Scholar]
- 7.Lindsay JO, Armuzzi A, Gisbert JP, Bokemeyer B, Peyrin-Biroulet L, Nguyen GC, et al. Indicators of suboptimal tumor necrosis factor antagonist therapy in inflammatory bowel disease. Dig Liver Dis. 2017;49:1086–1091. doi: 10.1016/j.dld.2017.07.010. [DOI] [PubMed] [Google Scholar]
- 8.Harbord M, Eliakim R, Bettenworth D, Karmiris K, Katsanos K, Kopylov U, et al. 2017 Third European evidence-based consensus on diagnosis and management of ulcerative colitis. Part 2: current management. J Crohns Colitis. 2017;11:769–84. doi: 10.1093/ecco-jcc/jjx009. [DOI] [PubMed] [Google Scholar]
- 9.Patel H, Lissoos T, Rubin DT. Indicators of suboptimal biologic therapy over time in patients with ulcerative colitis and Crohn’s disease in the United States. PLoS ONE. 2017;12:e0175099. doi: 10.1371/journal.pone.0175099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kothari MM, Nguyen DL, Parekh NK. Strategies for overcoming anti-tumor necrosis factor drug antibodies in inflammatory bowel disease: case series and review of literature. World J Gastrointest Pharmacol Ther. 2017;8:155–161. doi: 10.4292/wjgpt.v8.i3.155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Schroeder KW, Tremaine WJ, Ilstrup DM. Coated oral 5-aminosalicylic acid therapy for mildly to moderately active ulcerative colitis. A randomized study. N Engl J Med. 1987;317:1625–9. doi: 10.1056/NEJM198712243172603. [DOI] [PubMed] [Google Scholar]
- 12.Lewis JD, Chuai S, Nessel L, Lichtenstein GR, Aberra FN, Ellenberg JH. Use of the noninvasive components of the Mayo score to assess clinical response in ulcerative colitis. Inflamm Bowel Dis. 2008;14:1660–1666. doi: 10.1002/ibd.20520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Best WR, Becktel JM, Singleton JW, Kern F. Development of a Crohn’s disease activity index National Cooperative Crohn’s Disease Study. Gastroenterology. 1976;70:439–444. doi: 10.1016/S0016-5085(76)80163-1. [DOI] [PubMed] [Google Scholar]
- 14.Harvey RF, Bradshaw JM. A simple index of Crohn’s-disease activity. Lancet. 1980;1:514. doi: 10.1016/S0140-6736(80)92767-1. [DOI] [PubMed] [Google Scholar]
- 15.Sun B. Nosocomial infection in China: management status and solutions. Am J Infect Control. 2016;44:851–852. doi: 10.1016/j.ajic.2016.01.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Fu C, Xu R. Challenges remain for nosocomial infection control in China. J Hosp Infect. 2019;103:233–234. doi: 10.1016/j.jhin.2019.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Vermeire S, Noman M, Van Assche G, Baert F, D’Haens G, Rutgeerts P. Effectiveness of concomitant immunosuppressive therapy in suppressing the formation of antibodies to infliximab in Crohn’s disease. Gut. 2007;56:1226–1231. doi: 10.1136/gut.2006.099978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Huang SZ, Liu ZC, Liao WX, Wei JX, Huang XW, Yang C, et al. Risk of skin cancers in thiopurines-treated and thiopurines-untreated patients with inflammatory bowel disease: a systematic review and meta-analysis. J Gastroenterol Hepatol. 2019;34:507–516. doi: 10.1111/jgh.14533. [DOI] [PubMed] [Google Scholar]
- 19.Khan N, Abbas AM, Lichtenstein GR, Loftus EV, Bazzano LA. Risk of lymphoma in patients with ulcerative colitis treated with thiopurines: a nationwide retrospective cohort study. Gastroenterology. 2013;145:1007–15e3. [DOI] [PubMed]
- 20.Lemaitre M, Kirchgesner J, Rudnichi A, Carrat F, Zureik M, Carbonnel F, et al. Association between use of thiopurines or tumor necrosis factor antagonists alone or in combination and risk of lymphoma in patients with inflammatory bowel disease. JAMA. 2017;318:1679–1686. doi: 10.1001/jama.2017.16071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pasternak B, Svanstrom H, Schmiegelow K, Jess T, Hviid A. Use of azathioprine and the risk of cancer in inflammatory bowel disease. Am J Epidemiol. 2013;177:1296–1305. doi: 10.1093/aje/kws375. [DOI] [PubMed] [Google Scholar]
- 22.Liu Y, Meng Y, Wang L, Liu Z, Li J, Dong W. Associations between the NUDT15 R139C polymorphism and susceptibility to thiopurine-induced leukopenia in Asians: a meta-analysis. Onco Targets Ther. 2018;11:8309–8317. doi: 10.2147/OTT.S177007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Frolkis AD, Dykeman J, Negrón ME, Debruyn J, Jette N, Fiest KM, et al. Risk of surgery for inflammatory bowel diseases has decreased over time: a systematic review and meta-analysis of population-based studies. Gastroenterology. 2013;145:996–1006. doi: 10.1053/j.gastro.2013.07.041. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets, including the redacted study protocol, redacted statistical analysis plan, and individual patient data supporting the results reported in this article, will be made available within 3 months from initial requests, to researchers who provide a methodologically sound proposal. The data will be provided after its de-identification, in compliance with applicable privacy laws, data protection and requirements for consent and anonymization. Proposals should be directed to the corresponding author. Data requestors will need to sign a data access agreement.