Temporal hospitalization trends for inflammatory bowel disease in Taiwan

Article information

Intest Res. 2026;.ir.2025.00199
Publication date (electronic) : 2026 February 24
doi : https://doi.org/10.5217/ir.2025.00199
1Graduate School of Advanced Technology, Precision Health and Intelligent Medicine, National Taiwan University, Taipei, Taiwan
2Department of Internal Medicine, National Taiwan University Cancer Center, Taipei, Taiwan
3Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
4Department of Medical Research, National Taiwan University Hospital, Hsin-Chu Branch, Hsinchu, Taiwan
5Department of Integrated Diagnostics and Therapeutics and Medical Research, National Taiwan University Hospital, Taipei, Taiwan
6Health Data Research Center, National Taiwan University, Taipei, Taiwan
Correspondence to Shu-Chen Wei, Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, No.7, Chung Shan S. Rd. (Zhongshan S. Rd.), Zhongzheng Dist., Taipei City 100225, Taiwan (R.O.C.). E-mail: scwei05@gmail.com
Received 2025 August 31; Revised 2025 November 16; Accepted 2025 November 19.

Abstract

Background/Aims

Scant population-based data are available for inflammatory bowel disease (IBD)-related hospitalization rates in Asian countries. We investigated the epidemiological trends of hospitalization rate and lengths of hospital stay of the IBD population in Taiwan.

Methods

Data for the period from 2001 to 2017 were retrieved from the National Health Insurance database. The average annual percentage change (AAPC) was analyzed by summarizing the trend with an underlying Joinpoint regression model. Data for the prebiologics era (2001–2010) and postbiologics era (2011–2017) were compared using regression discontinuity design.

Results

A total of 4,376 patients with IBD were analyzed (1,167 Crohn’s disease [CD] and 3,209 ulcerative colitis [UC]). Between 2001 and 2017, the all-cause hospitalization rates per 100,000 person-years increased significantly in those with IBD (AAPC, 10.5%; 95% confidence interval [CI], 9.6% to 11.4%), CD (AAPC, 14.1%; 95% CI, 10.0% to 18.5%), and UC (AAPC, 10.1%; 95% CI, 8.3% to 11.8%). However, hospitalization rates per 100 patients with IBD decreased for IBD (AAPC, −2.6%; 95% CI, −4.0% to −1.2%) and UC (AAPC, −1.8%; 95% CI, −2.8% to −0.7%) but not for CD (AAPC, −1.6%; 95% CI, −3.5% to 0.4%). Significant downward trends in length of hospital stay were identified for patients with IBD. Hospitalization, surgical, and mortality rates associated with IBD were significantly lower in the postbiologic than in the prebiologic eras.

Conclusions

We observed an upward hospitalization trend relative to the general population but a downward trend within the IBD population in Taiwan. The declining hospitalization, surgical, and mortality rates might be attributed to advances in clinical management.

Graphical abstract

INTRODUCTION

Inflammatory bowel disease (IBD), encompassing Crohn’s disease (CD) and ulcerative colitis (UC), is a chronic immunological disorder causing persistent inflammation in the gut, resulting in symptoms, repeated hospital visits, surgeries, and potential mortality [1].

IBD prevalence rates are categorized into 4 epidemiological stages: the compounding prevalence and prevalence equilibrium stages in developed countries, the emergence stage in developing countries, and the acceleration in incidence stage for newly industrialized countries [2]. Evolving IBD incidences vary globally: higher rates in developing Asian, South American, and Middle Eastern countries, contrasting with stable or decreasing incidences in developed North American and Western European nations [3,4]. Heightened IBD prevalence poses significant economic challenges for healthcare systems [5]. Notably, developed Western nations show declining hospitalization rates for IBD patients, attributed to reduced admissions and shorter length of hospital stay [6-9]. However, limited studies explore hospitalization trends in developing nations [10]. The surge in IBD incidences in newly industrialized countries, linked to Western lifestyle adoption and urbanization, necessitates strategic healthcare management to curb rising hospitalization rates and associated costs [11-13].

Biologics revolutionized IBD care, offering improved patient outcomes not only by sustaining remission and enhancing life quality [14], but also reducing IBD-related surgical rates [11]. However, in newly developing countries with increasing IBD incidence, studies suggest the need to shift the clinical management from hospitals to community settings to alleviate healthcare burden [11,15]. Epidemiological data on IBD hospitalization in newly industrialized countries like Taiwan is limited [15]. Therefore, we performed a retrospective population-based study to explore the trends of IBD hospitalization rates and lengths of hospital stay in Taiwan and compared the clinical evolutions before and after introduction of biologics.

METHODS

1. Data Source and Ethics

We retrospectively collected data from the Taiwanese Registry for Catastrophic Illness Patient Database (RCIPD), a subset of the National Health Insurance (NHI) research database, covering the period between January 2001 and December 2017. This database, previously used in our group’s prior study (extended now to 2017), offers comprehensive coverage of 99.7% of the population, reducing participant bias [16]. Utilizing the RCIPD, we retrieved clinical details for IBD-diagnosed patients, including sex, age, diagnosis date, hospitalization information (admission, discharge, length of hospital stay), medical procedures, and mortality. All of the medical records were accessed from the Health and Welfare Data Science Center, Ministry of Health and Welfare and were deidentified for patient privacy. The research protocol was reviewed and approved by the Institutional Review Board (IRB) of National Taiwan University Hospital, under approval number 201904112RIND. The requirement for written informed consent was waived by the IRB.

2. Definitions and Case Identification

With reference to a previous meta-analysis, our study incorporated 2 definitions for IBD hospitalization rates: (1) number of cases per 100,000 person-years across the general population, mainly used for temporal trend analysis [17]; (2) and number of cases per 100 patients with IBD, providing a more accurate assessment of the IBD-specific hospitalization burden since it accounts only for individuals with IBD who are at risk of hospitalization. We adopted the International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision (ICD-9 and ICD-10, respectively) codes to obtain IBD hospitalization records for individuals with CD (ICD-9: 555.X and ICD-10: K50.X) or UC (ICD-9: 556. X and ICD-10: K51.X). Reasons for hospitalization were categorized as all-cause, IBD-related, or non-IBD-related (Supplementary Table 1). For analyzing IBD surgical rates, we referenced procedure codes for specific surgeries (Supplementary Table 2), such as colectomy and fistulotomy.

3. Sensitivity Analysis and Biologic Era Definition

In order to address the potential for data instability in the early years of the cohort (2001–2002), which could arise from the restricted look-back period of the database, we performed a sensitivity analysis by comparing the average annual percentage change (AAPC) across 2 different time intervals: the full period (2001–2017) and a restricted period (2003–2017). All variables were reanalyzed, with AAPCs statistically compared using Z-tests and visualized through 95% confidence interval (CI) error bars. To evaluate the impact of biologic therapies on clinical outcomes, we compared key indicators—hospitalization rate, length of hospital stay, surgical rate, and mortality rate—between periods before and after biologics were adopted. Anti-tumor necrosis factor (TNF) antibody therapies, the first biologics in Taiwan, were approved for IBD treatment in 2007 but have only been covered under the NHI program since 2011 [18]. Therefore, we regarded 2011 as the commencement of the biologics’ era.

4. Statistical Analysis

Categorical variables’ results are presented as absolute frequencies (n) and relative proportions (%), while continuous variables are expressed as means with standard deviations (SDs) and medians with interquartile ranges (IQRs). Incidence and prevalence rates are reported as annual cases per 100,000 population. Age standardization utilized Taiwan’s 2010 population as the reference. Length of hospital stay referred to the average days per admission. Surgical rate was calculated as IBD-related procedures per 100 patients annually, and annual prevalence reflected the base population’s patient count. Mortality rate was all-cause deaths per 100 IBD patients annually. Temporal trends of incidence, prevalence, hospitalization rate, surgical rate and mortality rate in IBD, CD, and UC were assessed using the regression model with AAPC and corresponding 95% CIs, calculating with both denominators. The AAPCs were computed in formula as

AAPC=e(b)-1×100%; Slope b=Σ(t1-t)×(ln(yi)-ln(y))Σti-t2.);e=natural logarithm.

The chi-square test and t-test were used to compare differences in age, age distribution, hospitalization rate, length of hospital stay, surgical rate, and mortality rate. Simple linear regression was used to estimate mean length of hospital stay. The regression discontinuity design was used to estimate temporal trends in incidence, prevalence, hospitalization rate, surgical rate, and mortality rates via the Joinpoint Regression Program (version 4.9.1.0, April 11, 2022; NHI, Bethesda, MD, USA), SAS 9.4 (SAS Institute, Cary, NC, USA), and IBM SPSS 25 for Mac (Armonk, NY, USA); a P-value of <0.05 indicated significance. Graphs were generated using Python (Version 3.9.12, Jupyter Notebook).

RESULTS

1. Sample Characteristics

During the study period from 2001 to 2017, a total of 4,376 patients in Taiwan were newly diagnosed with IBD and received an NHI catastrophic illness certificate (CIC); 1,167 (26.7%) had CD and 3,209 (73.3%) had UC (Table 1). The ratio of patients with UC to those with CD was approximately 2.8. The male-to-female ratio was about 1.7 (2,784/1,592) for IBD, 2.2 (798/369) for CD, and 1.6 (1,986/1,223) for UC. The median age at diagnosis was 43 years (IQR, 31–55 years) for IBD, 34 years (IQR, 24–50 years) for CD, and 45 years (IQR, 34–56 years) for UC. Most patients (n=3,330; 76.1%) received their IBD diagnosis between the ages of 20 and 59 years, with the smallest proportion (n=58; 1.3%) diagnosed at age ≥ 80 years. The average age at diagnosis in the CD group was significantly lower than in the UC group (mean±SD: 37.7 ± 18.1 vs. 45.0 ± 15.6; P<0.001) (Table 1).

Clinical Features of Patients with Newly Diagnosed IBD from 2001 to 2017

2. Temporal Trend of Incidence and Prevalence Rates

Between 2001 and 2017, the annual crude incidence rates of CD and UC exhibited an escalating pattern, increasing from 0.14 and 0.48 per 100,000 population to 0.68 and 1.48 per 100,000 population, respectively. Additionally, age-standardized incidence rates (referred to as incidence) for CD and UC steadily increased from 0.13 and 0.54 per 100,000 population to 0.69 and 1.40 per 100,000 population, respectively (P<0.001) (Fig. 1A). These trends align with our previous study covering the years 2001 to 2015 [19]. Moreover, there was a notable rise in the IBD incidence (6.1%; 95% CI, 3.3% to 8.9%) over the study duration. Specifically, the increase in AAPC for CD incidence (11.1%; 95% CI, 8.4% to 13.9%) surpassed that of UC incidence (2.9%; 95% CI, 1.3% to 4.5%) (Fig. 1A). As the incidence increased, the crude prevalence rates for both CD and UC increased from 0.49 and 1.94 per 100,000 population in 2001 to 4.90 and 14.26 per 100,000 population in 2017, respectively. Across the study period, the age-standardized prevalence rate (referred to as prevalence) for IBD increased significantly from 2.22 to 15.17 per 100,000 population, with an increase in AAPC of 12.5% (95% CI, 11.7% to 13.4%). This upsurge was particularly pronounced in patients with CD (15.3%; 95% CI, 14.3% to 16.2%); in those with UC, the increase was slightly lower at 11.8% (95% CI, 11.0% to 12.5%) (Fig. 1B).

Fig. 1.

Age-standardized incidence (A) and prevalence (B) rates of IBD, CD, and UC from 2001 to 2017. IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis; AAPC, average annual percentage change.

3. Proportion Change of IBD Incidence in Different Age-Stratified Groups

We evaluated changes in IBD incidence across 3 age groups: young individuals (≤ 19 years), adults (20–59 years), and older adults (≥ 60 years). In the younger group as early-onset IBD, we observed a significant increase for IBD (AAPC, 9.8%; 95% CI, 7.0% to 12.6%) and UC (AAPC, 9.8%; 95% CI 5.2% to 14.6%) but not for CD (AAPC, 6.9%; 95% CI, −0.5% to 14.8%; P=0.067) (Supplementary Table 3). Although we observed no significant increase in the AAPC in the youth group with CD, we did note variation in the age distribution between those with CD and UC—those aged <20 years accounted for 14.1% of new CD cases and 4.1% of new UC cases. These distinctions in age distribution between the CD and UC groups were statistically significant (P<0.001) (Table 1).

4. Temporal Change in All-Cause Hospitalization Rate

Between 2001 and 2017, we analyzed a total of 4,829 all-cause hospital admissions for patients with IBD, comprising 1,256 for CD and 3,573 for UC (Table 1). While the all-cause hospitalization rate remained stable in the general population throughout the study period (AAPC, 0%; 95% CI, –0.5% to 0.4%), a notable increase was observed in the hospitalization rate per 100,000 population for both CD from 0.2 to 1.8 (AAPC, 14.1%; 95% CI, 10.0% to 18.5%) and UC patients from 0.5 to 2.4 (AAPC, 10.1%; 95% CI, 8.3% to 11.8%) (Fig. 2A). However, contrary to the hospitalization rates computed using the general population as the denominator, and despite the growing prevalence of IBD, a consistent decline was noted in hospitalization rates per 100 patients with IBD during the study period. This decrease was identified as 54.4% to 40.9% for CD and 35.7% to 22.8% for UC (Fig. 2B). The downward trend in hospitalization rates per 100 IBD patients was evident with an overall AAPC of –2.6% (95% CI, –4.0% to –1.2%) for IBD and –1.8% (95% CI, –2.8% to –0.7%) for UC. However, the downward trend for patients with CD did not reach significance, registering an AAPC of −1.6% noted (95% CI, −3.5% to 0.4%; P=0.109) (Fig. 2B).

Fig. 2.

Annual hospitalization rates for IBD, CD, and UC from 2001 to 2017, expressed per 100,000 general population (A) and per 100 patients with IBD (B). IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis; AAPC, average annual percentage change.

5. Temporal Change in IBD-Related and Non-IBD-Related Hospitalization Rates

Similar to the decline in all-cause hospitalization rates, the IBD-related hospitalization rates exhibited a downward trend in individuals with IBD (AAPC, −1.9%; 95% CI, −2.6% to −0.8%), CD (AAPC, −0.6%; 95% CI, −1.1% to −0.2%), or UC (AAPC, −1.7%; 95% CI, −3.1% to −0.1%). In contrast, non-IBD-related hospitalization rates demonstrated a more rapid decrease than IBD-related rates in individuals with IBD (AAPC, –5.5%; 95% CI, –6.8% to –3.0%), CD (AAPC, –7.4%; 95% CI, –11.1% to –1.0%), and UC (AAPC, –4.1%; 95% CI, –6.0% to –1.2%) (Supplementary Table 4). However, when considering the general population as a reference, an upward trend was observed in IBD-related hospitalization rates for individuals with IBD (AAPC, 11.2%; 95% CI, 10.6% to 12.0%), CD (AAPC, 14.5%; 95% CI, 13.6% to 16.0%), or UC (AAPC, 9.6%; 95% CI, 8.9% to 10.3%). Similarly, non-IBD-related hospitalization rates relative to the general population also increased in individuals with IBD (AAPC, 15.2%; 95% CI, 10.2% to 19.0%), CD (AAPC, 9.1%; 95% CI, 5.4% to 12.9%), or UC (AAPC, 13.3%; 95% CI, 10.6% to 15.8%) (Supplementary Table 4).

6. Temporal Trend in Length of Hospital Stay for IBD

Between 2001 and 2017, the mean length of hospital stay was 9.6 days (SD=10.9) for IBD (Table 1). Individuals with CD had a significantly longer mean length of hospital stay than those with UC (mean±SD, 10.3 ± 11.8 vs. 9.2 ± 10.2; P<0.001). Notably, we observed a substantial downward trend in length of hospital stay, with a decrease from 15.3 to 9.1 days for CD and from 11.8 to 7.8 days for UC (P<0.05) (Fig. 3).

Fig. 3.

Average length of hospital stay for IBD, CD, and UC from 2001 to 2017. IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis.

7. Temporal Trend of IBD Surgical Rates

In contrast to the growth of IBD incidence and prevalence, a significant reduction in IBD-related surgical rates was observed, with rates decreasing from 8.6% to 3.4% for IBD, 19.6% to 8.5% for CD, and 5.8% to 1.6% for UC from 2001 to 2017 (P<0.001) (Fig. 4A). The IBD-related surgical rates consistently declined, indicating an overall AAPC of −5.6% (95% CI, −7.5% to −3.6%) for IBD, −5.3% (95% CI, −7.3% to −3.2%) for CD, and −7.8% (95% CI, −9.7% to −5.8%) for UC. Patients diagnosed with CD were significantly more likely to undergo surgical procedures compared to those diagnosed with UC (66.2% vs. 21.1%; P<0.001) (Table 1).

Fig. 4.

Annual surgical (A) and mortality (B) rates for IBD, CD, and UC from 2001 to 2017. IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis; AAPC, average annual percentage change.

8. Temporal Change of Mortality Rates in IBD

Between 2001 and 2017, a significant reduction in mortality rates was observed for patients with IBD (AAPC, −3.9%; 95% CI, −6.8% to −1.0%) and CD (AAPC, −5.8%; 95% CI, −11.1% to −0.2%) but not for those with UC (AAPC, −2.0%; 95% CI, −5.0% to 1.1%; P=0.191) (Fig. 4B). Additionally, a higher mean mortality rate was observed for CD (10.8%) than for UC (8.2%; P<0.05) (Table 1).

9. Comparison between the Prebiologic and Postbiologic Eras

We observed a significant reduction in all-cause hospitalization rates during the postbiologic era relative to the prebiologic era: –0.46% (standard error [SE], 0.11) for IBD and −0.44% (SE, 0.14) for UC (P<0.05) (Table 2). A nonsignificant downward trend in hospitalization rates was observed: −0.22% for individuals with CD (SE, 0.19; P=0.241). Although the length of hospital stay for patients with IBD was lower in the postbiologic era than in the prebiologic era, this reduction was nonsignificant. During the postbiologic era, surgical rates related to IBD were lower in both patients with CD and those with UC (P<0.05) relative to during the prebiologic era. Furthermore, the mortality rate for those with CD was significantly lower during the postbiologic era than during the prebiologic era (P<0.05); however, the reduction in mortality rates for the patients with UC was nonsignificant (P=0.476) (Table 2).

Regression Analysis of IBD, CD, and UC Clinical Data Comparing Prebiologic (2001–2010) to Postbiologic (2011–2017) Eras

10. Sensitivity Analysis between the 2001–2017 and 2003–2017 Periods

We performed a sensitivity analysis to assess the robustness of our long-term trends and account for potential data instability in the early years (2001–2002). The results indicated that the majority of variables exhibited overlapping CIs between the 2 periods, and the Z-tests yielded nonsignificant P-values (P>0.05) for most indicators (Supplementary Fig. 1). For example, the AAPC for standardized IBD incidence was 4.9% for 2001–2017 and 5.09% for 2003–2017 (Z=–0.17, P=0.864), while standardized UC incidence remained virtually unchanged (2.91% vs. 2.94%; Z=–0.02, P=0.981). These findings suggest that the overall trend patterns are stable and not materially affected by the inclusion of data from 2001–2002.

Across all variables—including IBD surgical rate, CD surgical rate, UC surgical rate, as well as IBD mortality, CD mortality, and UC mortality—the comparison revealed no statistically significant differences in trends between the 2 periods. For example, the AAPC of CD surgical rate was –5.30% (95% CI, –7.31% to –3.24%) in 2001–2017 and –4.55% (95% CI, –7.09% to –1.95%) in 2003–2017, with a P=0.476, indicating no significant shift in trend. Similarly, CD mortality showed an AAPC of –5.89% (95% CI, –11.11% to –0.36%) in 2001–2017 and –3.64% (95% CI, –9.08% to 2.12%) in 2003–2017, with a nonsignificant Z-test P-value of 0.7024 despite a wide CI in both periods.

DISCUSSION

Our study represents the first population-based cohort investigation into the temporal trends of IBD hospitalization rates in Asia. Moreover, through updated incidence and prevalence data, we provide insight into IBD hospitalization rates using different denominators in Taiwan spanning from 2001 to 2017. Diverse patterns in all-cause hospitalization rates can emerge when employing different denominators, especially for denominators as diverse as 100,000 person-years and 100 patients with IBD [10]. In our study, although the all-cause hospitalization rates per 100,000 person-years remained consistent in the general population, these rates increased significantly in the IBD population between 2001 and 2017, using Taiwanese general population as the denominator. Conversely, all-cause hospitalization rates when utilizing the IBD population as the denominator exhibited a declining trend. The incidence of IBD has notably risen in newly industrialized countries in Asia and Latin America, potentially due to increased disease awareness and the influence of Westernized societies [20,21]. In Taiwan, along with the rising incidence, the prevalence of IBD has grown exponentially in the general population. Rising patients with IBD in Taiwan pose challenges for gastroenterologists, necessitating enhanced care due to increased complexity and comorbidities [22].

Similar patterns in hospitalization rates for IBD have been observed in various countries. In Czechia, all-cause hospitalization rates in patients with IBD increased from 48.11 to 53.83 per 100,000 person-years between 2007 and 2015 (AAPC, 2.52%; 95% CI, 1.55% to 3.48%), while decreasing from 14.31 to 12.18 per 100 individuals with IBD during the same period (AAPC, −1.11%; 95% CI, −2.15% to −0.06%) [23]. Similarly, a study in Catalonia, Spain, noted an increase in CD-related hospitalization rates per 100,000 population from 10.56 to 14.8 (AAPC, 5.34%; 95% CI, 4.07% to 6.62%), whereas a decrease from 9.27 to 7.22 per 100 patients with CD between 2011 and 2017 (AAPC, −4.38%; 95% CI, −5.50% to −3.25%) [24]. In Alberta, Canada, there was an increase in all-cause hospitalization rates from 110.65 to 142.18 per 100,000 population (AAPC, 1.56%; 95% CI, 1.32% to 1.80%), while a decrease from 36.57 to 16.72 per 100 patients with IBD was observed between 2002–2003 and 2018–2019 (AAPC, −4.18%; 95% CI, −4.69% to −3.66%) [17]. This study also highlighted reductions in both IBD-related and non-IBD-related hospitalization rates. However, not all countries follow this pattern. In Scotland, despite a rising IBD prevalence similar to Canada, there was a decrease in both primary hospitalization rates relative to the general population and in rates relative to the IBD population [10,25]. Differences in hospitalization reporting and healthcare systems may explain discrepancies. Researchers should use IBD population as a benchmark to analyze hospitalization trends, gaining clearer insights into resource use and intervention effectiveness. Factors like biologic therapy coverage, improved clinical care, and reduced IBD-related surgeries contributed to lower hospitalization rates within the IBD population [26].

Our study confirms reduced IBD-related and non-IBD-related hospitalization rates among the IBD population, aligning with prior research [17,27]. However, the more rapid decline in non-IBD-related hospitalization rates was noted. Our findings reveal that hospitalizations related to IBD constitute a significant portion of the overall annual hospitalization rates: 81% for IBD in general, 90% for CD, and 76% for UC. As a result, while the overall trend in hospitalizations for all causes has been declining annually, this reduction may be slower when it comes to primary IBD-related hospitalizations. The decline in IBD-related admissions contributed substantially to the decrease in all-cause hospitalization rates, potentially easing healthcare strain and patient costs [28]. Clinical factors including early diagnosis, proactive monitoring, treatment advancements, and management strategies likely contribute [29,30]. Moreover, the classification of hospitalizations as IBD-related or non-IBD-related was based on discharge codes that included ICD codes associated with symptoms or diseases of IBD (Supplementary Table 1). This method introduces the possibility of both underestimating and overestimating hospitalization reasons due to potential inaccuracies in discharge coding. Further research is needed for comprehensive insight.

Our study showed a mean all-cause length of hospital stay of 9.6 days for IBD patients in Taiwan, longer compared to 4 days in Scotland and 4.5 days in Dallas [25,31]. Several factors are associated with prolonged length of hospital stay including Clostridioides difficile infection, malnutrition, and immunosuppression [32,33]. Specifically, NHI program provides comprehensive, universal coverage with very low co-payments for inpatient services. This system minimizes the financial barrier to admission and may reduce the economic pressure for early discharge that exists in other healthcare systems. This, combined with local clinical practice norms, may contribute to the longer mean length of hospital stay for IBD patients observed in our study compared to those reported in Scotland and Dallas. However, advancements in treatments have decreased overall length of hospital stay for patients with IBD [31]. It is noteworthy that while the overall 17-year trend (Fig. 3) showed a significant decline (P<0.05), the era-to-era comparison (Table 2) did not show a statistically significant break (P=0.779). This suggests the reduction in length of stay was a gradual, consistent improvement over the entire study period rather than a sudden drop specifically after 2011.

We observed significant drops in surgical and mortality rates among individuals with IBD, consistent with trends in England and the United States [34,35]. It should be noted, however, that the lack of age-specific mortality rate limits a direct comparison of our mortality trends to other population-based studies. In the early years of cohort (2001–2002), there was a tendency to include transitional epidemiologic dynamics or data instability due to the restricted look-back period within the NHI database cohort. Consequently, surgical and mortality rates during these initial years were likely exaggerated, causing a sharp decline in trends. However, the sensitivity analysis findings demonstrate that the overall trend estimates remained stable even when the initial 2 years were excluded from the analysis. The lack of significant difference supports the temporal consistency of observed trends and suggests that earlier data do not meaningfully bias long-term conclusions for these outcome measures. Improved management and treatment may reduce the need for surgeries and mortality in individuals with IBD. Despite declining mortality, monitoring risk factors like comorbidities, infectious diseases, and perioperative care remains crucial [36]. In Taiwan, a decline in hospitalization rates, surgical rates, and mortality rates was observed among patients with IBD between the prebiologic era (2001–2010) and the postbiologic era (2011–2017). Current studies have highlighted an association between increased use of biologic therapy and the decline of surgical rates in patients with IBD [24,29,37]. One retrospective study reported a decrease in emergency department visits in individuals with IBD after the introduction of biologics [38].

However, our subgroup analyses revealed key discrepancies. First, the nonsignificant drop in CD hospitalization rates (P=0.241), compared to the significant drop for UC (P=0.002), may be explained by several factors. CD’s transmural nature means biologics cannot reverse pre-existing structural damage (e.g., fibrotic strictures) that still requires hospitalization, whereas they can effectively heal UC’s mucosal inflammation [39]. Furthermore, “confounding by indication” likely masked the true effect, as the most severe CD patients were prioritized for treatment. Finally, CD biologics were approved in 2007, “contaminating” the pre-2011 baseline data, while UC reimbursement lagged, providing a cleaner “before-and-after” comparison that resulted in a statistically significant finding. Second, while those with CD experienced a notable decrease in mortality rates (P=0.012), patients with UC did not show a statistically significant reduction (P=0.476) (Table 2). This finding for UC likely stems from: (1) delayed NHI reimbursement for biologics, postponing their full clinical impact; (2) our use of all-cause mortality in an older-onset UC population (median; 45 years vs. 34 years) more influenced by non-IBD comorbidities; and (3) while our study found reduced overall UC surgical rates, this benefit may not extend to the most severe cases. A recent Taiwanese ASUC study using data beyond our 2017 observation period reported no significant difference in 3-year colectomy rates for severe cases [40]. This persistent surgical burden in high-risk subgroups, combined with the higher comorbidity load in an older-onset UC population, likely explains the nonsignificant change in all-cause mortality.

Further analysis is needed to explore the correlation between different biologic therapies, including TNF-α blockers, integrin blockers, and interleukin 12/23 blockers. However, due to the limited availability of these medications and the relatively smaller number of patients, we were unable to further analyze these conditions in this study.

The increasing IBD population in Taiwan presents a clinical challenge to gastroenterologists. Owing to the chronic nature and low mortality rate of the disease, both the prevalence and the average age of patients with IBD are increasing. Clinicians can thus expect increased clinical complexity and comorbidities in such patients. The optimization of practice support and a multidisciplinary approach in IBD units have contributed substantially to the improvement of clinical outcomes and the quality of IBD care [22].

This population-based cohort study has several limitations. First, the hospitalization numbers may be underestimated because an IBD diagnosis is required for a patient to apply for the CIC. Thus, patients without this certificate, potentially including those with early-stage IBD or with mild disease severity, were not represented. Second, we were unable to investigate the clinical status of the disease (e.g., laboratory data), activity index scores, smoking history, comorbidities, and medical therapies. Third, we defined 2011 as the commencement of the postbiologic era, as this was when anti-TNF therapies were broadly covered under the NHI program for IBD. However, we acknowledge that the specific reimbursement approval for UC lagged behind that for CD due to the drugs’ availabilities. This discrepancy in timing may have confounded the comparison of outcomes for UC, particularly length of stay in hospital and mortality rates, in the early postbiologic period. A further limitation is that our mortality analysis relies on all-cause mortality. Due to the nature of the administrative claims database, we were unable to verify the specific, direct cause of death (i.e., IBD-specific mortality vs. other causes). In conclusion, aside from specific endpoints like mortality outcomes, the observed long-term trends in IBD burden, hospitalization, and surgical rates are statistically consistent and stable across analytic intervals, supporting the validity of the primary findings.

One of the key strengths of this study is the use of a nationwide cohort comprising individuals with IBD listed on databases that cover nearly the entire population of Taiwan. This extensive population-based data helped to minimize selection bias.

In conclusion, a persistent upward trend can be observed in the incidence and prevalence of IBD in Taiwan that is similar to observations in other industrialized areas. The all-cause hospitalization rate in individuals with IBD relative to the general population increased because the IBD population grew more quickly than the general population did. Despite this rise in IBD prevalence, the all-cause hospitalization rates relative to the IBD population decreased. We also noted a significant decrease in the length of hospital stay in the patients with IBD over our study period. The reduction in hospitalization rates per 100 patients with IBD and length of hospital stay could be ascribed to advancements in clinical therapies. Our findings—demonstrating that the hospitalization burden per patient can be controlled and even reduced through advances in clinical management despite a rapidly rising IBD prevalence—offer important policy insights for other Asian regions that are undergoing similar epidemiological transitions. This highlights the value of health policy planning and ensuring access to advanced therapies to manage the evolving burden of IBD.

Notes

Funding Source

This study was supported by the National Taiwan University Hospital (NTUH; grant MS507).

Conflict of Interest

Wei SC has consulted or served on advisory boards for AbbVie, Bristol Myers Squibb, Celltrion, Ferring Pharmaceuticals, Janssen, Pfizer, Takeda, and Tanabe; lecture fees from AbbVie, Bristol Myers Squibb, Celltrion, Ferring Pharmaceuticals, Janssen, Pfizer, Takeda, and Tanabe. Wei SC is a member of the Editorial Board of this journal but was not involved in the peer review process or editorial decision-making for this manuscript. The other authors declare no conflicts of interest.

Data Availability Statement

The data utilized in this study were obtained from the Taiwanese Registry for Catastrophic Illness Patient Database (RCIPD), a subset of the National Health Insurance (NHI) research database, under a license for the study period of January 2001 to December 2017. Due to legal restrictions and to protect patient privacy, the dataset cannot be made publicly available. Inquiries regarding data access can be directed to the Health and Welfare Data Science Center, Ministry of Health and Welfare, Taiwan.

Author Contributions

Conceptualization: all authors. Data curation: Wu HY, Chang YT, Wei SC. Formal analysis: Wu HY, Chang YT, Wei SC. Funding acquisition: Wei SC. Investigation: Wu HY, Chang YT, Wei SC. Methodology: all authors. Writing–original draft: Wu HY, Wei SC Writing–review & editing: all authors. Approval of final manuscript: all authors.

Additional Contributions

We appreciate Prof. K. Arnold Chan and Yuan-Ting Chang’s guidance at the Health Data Research Center, National Taiwan University. Data from the Health and Welfare Data Science Center, Ministry of Health and Welfare, were instrumental. We thank National Taiwan University Hospital and the Taiwan Society of Inflammatory Bowel Disease for funding.

Supplementary Material

Supplementary materials are available at the Intestinal Research website (https://www.irjournal.org).

Supplementary Table 1.

ICD Codes of IBD-Related Hospitalization

ir-2025-00199-Supplementary-Table-1.pdf

Supplementary Table 2.

ICD Codes of IBD-Related Surgery

ir-2025-00199-Supplementary-Table-2.pdf

Supplementary Table 3.

Age-Stratified Incidence of IBD, CD, and UC from 2001 to 2017

ir-2025-00199-Supplementary-Table-3.pdf

Supplementary Table 4.

AAPC in IBD-Related and Non-IBD-Related Hospitalization Rates from 2001 to 2017

ir-2025-00199-Supplementary-Table-4.pdf

Supplementary Fig. 1.

Sensitivity analysis of AAPC comparison between 2001–2017 and 2003–2017. AAPC, average annual percentage change; IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis.

ir-2025-00199-Supplementary-Fig-1.pdf

References

1. de Mattos BR, Garcia MP, Nogueira JB, et al. Inflammatory bowel disease: an overview of immune mechanisms and biological treatments. Mediators Inflamm 2015;2015:493012.
2. Asakura K, Nishiwaki Y, Inoue N, Hibi T, Watanabe M, Takebayashi T. Prevalence of ulcerative colitis and Crohn’s disease in Japan. J Gastroenterol 2009;44:659–665.
3. Molodecky NA, Soon IS, Rabi DM, et al. Increasing incidence and prevalence of the inflammatory bowel diseases with time, based on systematic review. Gastroenterology 2012;142:46–54.
4. Kaplan GG. The global burden of IBD: from 2015 to 2025. Nat Rev Gastroenterol Hepatol 2015;12:720–727.
5. 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.
6. Scaldaferri F, Papa A, Napolitano D, et al. Changes in admissions, and hospitalization outcomes of IBD patients in an Italian tertiary referral center over a 13-year period. Eur Rev Med Pharmacol Sci 2021;25:5826–5835.
7. Jones GR, Lyons M, Plevris N, et al. IBD prevalence in Lothian, Scotland, derived by capture-recapture methodology. Gut 2019;68:1953–1960.
8. Coward S, Clement F, Benchimol EI, et al. Past and future burden of inflammatory bowel diseases based on modeling of population-based data. Gastroenterology 2019;156:1345–1353.
9. Bernstein CN, Nabalamba A. Hospitalization, surgery, and readmission rates of IBD in Canada: a population-based study. Am J Gastroenterol 2006;101:110–118.
10. Buie MJ, Quan J, Windsor JW, et al. Global hospitalization trends for Crohn’s disease and ulcerative colitis in the 21st century: a systematic review with temporal analyses. Clin Gastroenterol Hepatol 2023;21:2211–2221.
11. Ananthakrishnan AN, Kaplan GG, Ng SC. Changing global epidemiology of inflammatory bowel diseases: sustaining health care delivery into the 21st century. Clin Gastroenterol Hepatol 2020;18:1252–1260.
12. Kaplan GG, Windsor JW. The four epidemiological stages in the global evolution of inflammatory bowel disease. Nat Rev Gastroenterol Hepatol 2021;18:56–66.
13. Abdulla M, Al Saeed M, Fardan RH, et al. Inflammatory bowel disease in Bahrain: single-center experience. Clin Exp Gastroenterol 2017;10:133–145.
14. Vogelaar L, Spijker AV, van der Woude CJ. The impact of biologics on health-related quality of life in patients with inflammatory bowel disease. Clin Exp Gastroenterol 2009;2:101–109.
15. Aniwan S, Limsrivilai J, Pongprasobchai S, et al. Temporal trend in the natural history of ulcerative colitis in a country with a low incidence of ulcerative colitis from 2000 through 2018. Intest Res 2021;19:186–193.
16. Weng MT, Tung CC, Chang YT, et al. Trends of medication usage and associated outcomes for Taiwanese patients with inflammatory bowel disease from 2001 to 2015. J Clin Med 2018;7:394.
17. Buie MJ, Coward S, Shaheen AA, et al. Hospitalization rates for inflammatory bowel disease are decreasing over time: a population-based cohort study. Inflamm Bowel Dis 2023;29:1536–1545.
18. Su HJ, Chiu YT, Chiu CT, et al. Inflammatory bowel disease and its treatment in 2018: Global and Taiwanese status updates. J Formos Med Assoc 2019;118:1083–1092.
19. Yen HH, Weng MT, Tung CC, et al. Epidemiological trend in inflammatory bowel disease in Taiwan from 2001 to 2015: a nationwide population based study. Intest Res 2019;17:54–62.
20. Ng SC, Kaplan GG, Tang W, et al. Population density and risk of inflammatory bowel disease: a prospective population-based study in 13 countries or regions in Asia-Pacific. Am J Gastroenterol 2019;114:107–115.
21. Ananthakrishnan AN. Epidemiology and risk factors for IBD. Nat Rev Gastroenterol Hepatol 2015;12:205–217.
22. Louis E, Dotan I, Ghosh S, Mlynarsky L, Reenaers C, Schreiber S. Optimising the inflammatory bowel disease unit to improve quality of care: expert recommendations. J Crohns Colitis 2015;9:685–691.
23. Jarkovský J, Benešová K, Hejduk K, Dušek L, Lukáš M. Epidemiology, hospitalization and migration of patients with IBD under specialized care in the Czech Republic. Gastroent Hepatol 2017;71:501–509.
24. Brunet E, Vela E, Melcarne L, et al. Time trends of Crohn’s disease in Catalonia from 2011 to 2017: increasing use of biologics correlates with a reduced need for surgery. J Clin Med 2020;9:2896.
25. Lyons M, Derikx LAAP, Fulforth J, et al. Patterns of emergency admission for IBD patients over the last 10 years in Lothian, Scotland: a retrospective prevalent cohort analysis. Aliment Pharmacol Ther 2022;56:67–76.
26. Hazlewood GS, Rezaie A, Borman M, et al. Comparative effectiveness of immunosuppressants and biologics for inducing and maintaining remission in Crohn’s disease: a network meta-analysis. Gastroenterology 2015;148:344–354.
27. Tsai L, Nguyen NH, Ma C, Prokop LJ, Sandborn WJ, Singh S. Systematic review and meta-analysis: risk of hospitalization in patients with ulcerative colitis and Crohn’s disease in population-based cohort studies. Dig Dis Sci 2022;67:2451–2461.
28. Santiago M, Magro F, Correia L, et al. Rehospitalization rates, costs, and risk factors for inflammatory bowel disease: a 16-year nationwide study. Therap Adv Gastroenterol 2020;13:1756284820923836.
29. Zhao M, Sall Jensen M, Knudsen T, et al. Trends in the use of biologicals and their treatment outcomes among patients with inflammatory bowel diseases: a Danish nationwide cohort study. Aliment Pharmacol Ther 2022;55:541–557.
30. Soriano CR, Powell CR, Chiorean MV, Simianu VV. Role of hospitalization for inflammatory bowel disease in the post-biologic era. World J Clin Cases 2021;9:7632–7642.
31. Kelso M, Weideman RA, Cipher DJ, Feagins LA. Factors associated with length of stay in veterans with inflammatory bowel disease hospitalized for an acute flare. Inflamm Bowel Dis 2017;24:5–11.
32. Nguyen GC, Kaplan GG, Harris ML, Brant SR. A national survey of the prevalence and impact of Clostridium difficile infection among hospitalized inflammatory bowel disease patients. Am J Gastroenterol 2008;103:1443–1450.
33. Xu J, Tang M, Shen J. Trends and factors affecting hospitalization costs in patients with inflammatory bowel disease: a two-center study over the past decade. Gastroenterol Res Pract 2013;2013:267630.
34. Ahmad A, Laverty AA, Alexakis C, et al. Changing nationwide trends in endoscopic, medical and surgical admissions for inflammatory bowel disease: 2003-2013. BMJ Open Gastroenterol 2018;5e000191.
35. Kichloo A, El-Amir Z, Dahiya DS, Wani F, Shaka H. Trends in hospitalizations and mortality for inflammatory bowel disease from a nationwide database study between 2008 and 2018. Proc (Bayl Univ Med Cent) 2021;34:550–554.
36. Lin WC, Weng MT, Tung CC, et al. Trends and risk factors of mortality analysis in patients with inflammatory bowel disease: a Taiwanese nationwide population-based study. J Transl Med 2019;17:414.
37. Lowe SC, Sauk JS, Limketkai BN, Kwaan MR. Declining rates of surgery for inflammatory bowel disease in the era of biologic therapy. J Gastrointest Surg 2021;25:211–219.
38. Huh G, Yoon H, Choi YJ, et al. Trends in emergency department visits and hospitalization rates for inflammatory bowel disease in the era of biologics. PLoS One 2019;14e0210703.
39. Rieder F, Fiocchi C, Rogler G. Mechanisms, management, and treatment of fibrosis in patients with inflammatory bowel diseases. Gastroenterology 2017;152:340–350.
40. Lin WC, Lin CC, Hsu WH, et al. Short-term and long-term outcomes of acute severe ulcerative colitis in Taiwan: a multicenter study with pre- and post-biologics comparison. Intest Res 2026;24:117–128.

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Fig. 1.

Age-standardized incidence (A) and prevalence (B) rates of IBD, CD, and UC from 2001 to 2017. IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis; AAPC, average annual percentage change.

Fig. 2.

Annual hospitalization rates for IBD, CD, and UC from 2001 to 2017, expressed per 100,000 general population (A) and per 100 patients with IBD (B). IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis; AAPC, average annual percentage change.

Fig. 3.

Average length of hospital stay for IBD, CD, and UC from 2001 to 2017. IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis.

Fig. 4.

Annual surgical (A) and mortality (B) rates for IBD, CD, and UC from 2001 to 2017. IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis; AAPC, average annual percentage change.

Table 1.

Clinical Features of Patients with Newly Diagnosed IBD from 2001 to 2017

Variable Overall IBD CD UC CD vs. UC P-value
No. of patients (%) 4,376 (100.0) 1,167 (26.7) 3,209 (73.3)
Male/female (ratio) 2,784/1,592 (1.7) 798/369 (2.2) 1,986/1,223 (1.6) <0.001
Age (yr)
 Mean±SD 43.1±16.6 37.7±18.1 45.0±15.6 <0.001
 Median (IQR) 43 (31–55) 34 (24–50) 45 (34–56) <0.001
Age distribution, No. (%) <0.001
 0–19 297 (6.8) 165 (14.1) 132 (4.1)
 20–39 1,620 (37.0) 535 (45.8) 1,085 (33.8)
 40–59 1,710 (39.1) 294 (25.2) 1,416 (44.1)
 60–79 691 (15.8) 156 (13.4) 535 (16.7)
 ≥80 58 (1.3) 17 (1.5) 41 (1.3)
No. of hospital admissions 4,829 1,256 3,573
Length of hospital stay (day)
 Mean±SD 9.6±10.9 10.3±11.8 9.2±10.2 <0.001
No. of surgeries 1,467 781 686 <0.001
No. of deaths 395 127 268 0.008

IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis.

Table 2.

Regression Analysis of IBD, CD, and UC Clinical Data Comparing Prebiologic (2001–2010) to Postbiologic (2011–2017) Eras

Variable The estimate coefficient for biologic intervention Standard error P-value
Hospitalization rate
 IBD –0.46 0.11 <0.001
 CD –0.22 0.19 0.241
 UC –0.44 0.14 0.002
Length of hospital stay
 IBD –0.18 0.63 0.779
 CD –0.07 1.17 0.953
 UC –0.28 0.53 0.606
Surgical rate
 IBD –1.17 0.28 <0.001
 CD –0.80 0.37 0.031
 UC –1.08 0.42 0.010
Mortality rate
 IBD –1.13 0.53 0.036
 CD –2.51 1.00 0.012
 UC –0.45 0.63 0.476

IBD, inflammatory bowel disease; CD, Crohn's disease; UC, ulcerative colitis.