Published online Jul 21, 2026. doi: 10.3748/wjg.120681
Revised: March 19, 2026
Accepted: April 10, 2026
Published online: July 21, 2026
Processing time: 131 Days and 13.9 Hours
Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD), presents varying clinical characteristics depending on the age at disease onset. With the aging global population, understanding the differences in the presentation and management of older-onset and younger-onset IBD has become increasingly important for optimizing patient care.
To evaluate the demographic characteristics of and treatment strategies for older and younger adult patients with IBD.
A retrospective cohort analysis was conducted on adult patients diagnosed with IBD between June 1993 and February 2023. Demographic, clinical, and therapeutic data were compared between patients with an older onset (≥ 60 years) and younger onset (18-60 years) of UC and CD.
A total of 1245 patients were included, of whom 56 (4.5%) had older-onset disease and 1189 (95.5%) had younger-onset disease. The median follow-up duration was 11 years. UC was more prevalent in the older-onset group (69.6% vs 48.7%, P = 0.002). Biological therapy was used less frequently in older-onset patients (26.8% vs 49.3%, P = 0.001). No significant differences in the extent of UC, CD location or behavior, or perianal involvement were de
IBD patients with an older age at onset exhibit distinct demographic and therapeutic characteristics, particularly a lower frequency of EIMs and decreased utilization of immunosuppressive and biological therapies. This conservative approach likely reflects clinical precautions against treatment-related adverse events in elderly individuals; however, it highlights an urgent clinical need for age-specific guidelines to ensure that these patients receive adequate and safe disease management without compromising long-term outcomes.
Core Tip: This retrospective cohort study highlights significant differences in the clinical presentation and management of patients with older-onset vs younger-onset inflammatory bowel disease. Our findings reveal that elderly patients present with fewer extraintestinal manifestations. Notably, older patients receive far fewer immunosuppressive and biological therapies than younger patients do, reflecting a conservative clinical approach likely driven by age-related safety concerns. These results emphasize the urgent clinical need for age-specific management guidelines to ensure that elderly patients receive adequate and safe therapies without compromising long-term outcomes.
- Citation: Kivrakoglu F, Kilic V, Ergin M, Kucuk H, Erdogan C, Yuksel I. Clinical characteristics and treatment patterns of older and younger patients with inflammatory bowel disease. World J Gastroenterol 2026; 32(27): 120681
- URL: https://www.wjgnet.com/1007-9327/full/v32/i27/120681.htm
- DOI: https://dx.doi.org/10.3748/wjg.120681
Inflammatory bowel disease (IBD), comprising Crohn’s disease (CD) and ulcerative colitis (UC), is a chronic inflammatory condition of the gastrointestinal tract with an uncertain etiology and is often linked to genetic predispositions, environmental influences, and irregular immune responses to the gut microbiota[1]. As the global population ages, the incidence of older-onset IBD is expected to increase significantly, alongside increases in incidence across all age groups, including both children and elderly individuals[2]. The phenotype and progression of IBD appear to vary based on the age at disease onset. Early in the disease course, severe episodes are more common, indicating that patients with an older age at onset might necessitate tailored management approaches to account for age-associated physiological alterations and differences in treatment tolerance[3]. However, many existing studies fail to clearly delineate between these age groups, with conflicting findings regarding the severity of disease progression in patients with older-onset IBD[4,5]. While some studies suggest milder disease progression in older individuals, others highlight worse outcomes or more aggressive complications[6]. With increasing reliance on early therapeutic interventions such as biologics or combination therapies, understanding age-specific disease progression is critical. Older patients often exhibit reduced tolerance to immunosuppressive regimens because of their increased vulnerability to infections and malignancies, necessitating a balance between the potential risks of aggressive treatment and the benefits of disease control[7,8]. Further investigations into the demographic, clinical, and therapeutic characteristics of patients with older-onset IBD are essential to develop tailored treatment protocols that align with their unique needs. The primary objective of this retrospective cohort study was to investigate the differences in demographic characteristics, clinical manifestations, and treatment patterns between patients with older-onset and younger-onset IBD. We hypothesize that patients with an older age at onset present with a distinct disease phenotype but receive more conservative medical therapies because of age-related safety concerns.
This retrospective analysis included data from patients diagnosed with UC or CD at a tertiary referral center between June 1993 and February 2023. Patients were eligible for inclusion if they had a confirmed diagnosis of UC or CD and were 18 years or older at the time of the diagnosis. Patients with indeterminate colitis were excluded from this study because of the limited number of patients in this group.
In this study, demographic and IBD characteristics, including age, sex, weight, height, prodromal time, type of disease, disease duration, extraintestinal manifestations (EIMs), current and previous IBD medications, IBD-related hospitalization, and previous IBD-related surgery, were collected from the electronic medical records. Disease behavior and location were classified according to the Montreal classification to ensure consistency across data points. Clinical disease activity was measured using the partial Mayo score for UC and the Crohn’s Disease Activity Index (CDAI) for CD. Laboratory values [hemoglobin, albumin, and C-reactive protein (CRP) levels] were extracted from the electronic medical records if tests had been performed within three months of the baseline assessment. Patients with substantially incomplete medical records or missing key demographic data were excluded from the final analysis to ensure the integrity of the data. Furthermore, because the study period spanned 30 years (1993-2023), we must acknowledge that evolving treatment paradigms—particularly the introduction and increasing use of biological agents in the past two decades—may have historically influenced the overall therapeutic strategies used in this cohort.
The aim of this study was to investigate the differences between UC and CD in terms of disease behavior, site of in
This retrospective study was approved by the Ethics Committee of Ankara Bilkent City Hospital (No. E2-24-6116), and no conflicts of interest or sponsors of this analysis existed. The requirement for written informed consent was waived because of the retrospective design of this study and the use of anonymized data, as approved by the Ethics Committee.
Descriptive statistics are shown as n (%) for qualitative data. For quantitative data, the means and standard deviations are reported for normally distributed data, and medians and minimum-maximum values (interquartile ranges) are reported for nonnormally distributed data. Intergroup comparisons of categorical variables were performed using Pearson’s χ2 test or Fisher’s exact test. The normality of continuous variables was assessed using the Kolmogorov-Smirnov and Shapiro-Wilk tests. Since the assumption of a normal distribution was not fulfilled for the analyzed variables, the Mann-Whitney U test was used to compare continuous variables between two independent groups. The type 1 margin of error (α) was accepted as 0.05 for all the statistics. SPSS version 29.0 was used to analyze the data. Missing data were assessed for all variables included in the analysis. Cases with substantial missing key variables were excluded from the study. No imputation methods were applied.
A total of 1245 adult patients with IBD were included, of whom 56 (4.5%) had older-onset disease and 1189 (95.5%) had younger-onset disease. The median follow-up duration was 11 years. UC was more prevalent in the older-onset group (69.6% vs 48.7%, OR = 2.42, 95%CI: 1.35-4.32, P = 0.002).
Patients with older-onset disease had a shorter disease duration but similar prodromal time. Smoking and family history of IBD were less common in the older-onset group. No significant differences were observed in sex distribution, prior surgery, or hospitalization rates between groups.
No significant differences were observed in UC extent or CD behavior between the groups. However, a higher frequency of ileal involvement (L1) was noted in older-onset CD (OR = 1.49, 95%CI: 1.10-2.10, P = 0.005).
EIMs were significantly less frequent in older-onset patients (32.1% vs 51%, OR = 0.46, 95%CI: 0.26-0.81, P = 0.006). Peripheral arthralgia was the most common manifestation in both groups. Detailed distributions of EIMs are provided in Table 1.
| Total, n = 1245 | UC, n = 618 | CD, n = 627 | |||||||
| Older-onset, | Younger-onset, | P value/OR (95%CI) | Older-onset UC, n = 39 | Younger-onset UC, | P value/OR (95%CI) | Older-onset CD, n = 17 | Younger-onset CD, | P value/OR (95%CI) | |
| Age at the onset of IBD (median year) | 71.5 | 46 | < 0.001 | 72 | 49 | < 0.001 | 71 | 43 | < 0.001 |
| Total disease duration (median year) | 6 | 11 | < 0.001 | 6 | 12 | < 0.001 | 6 | 11 | < 0.001 |
| Prodromal period (median month) | 3 | 4 | 0.687 | 2 | 1 | 0.247 | 7 | 11 | 0.976 |
| Female/male | 15 (27)/41 (73) | 464 (42)/725 (58) | 0.066 | 8 (21)/31 (79) | 215 (37)/364 (63) | 0.036 | 7 (41)/10 (59) | 249 (41)/361 (59) | 0.036 |
| Smokers (current/ex/non) | 6 (10)/29 (52)/21 (38) | 277 (23)/368 (31)/544 (46) | 0.003 | 4 (10)/20 (51)/15 (39) | 75 (13)/206 (36)/298 (51) | 0.143 | 2 (12)/9 (53)/6 (35) | 202 (33)/162 (27)/246 (40) | 0.04 |
| Family history of IBD | 2 (4) | 155 (13) | 0.03/0.25 (0.06-1.01) | 1 (2.6) | 80 (13.8) | 0.044 | 1 (5.9) | 75 (12.3) | 0.708 |
| Surgery during follow-up | 20 (35.7) | 464 (39) | 0.619 | 8 (20.5) | 89 (15.4) | 0.393 | 12 (70.6) | 375 (61.5) | 0.446 |
| Hospitalized at the time of diagnosis | 13 (23.2) | 422 (35.5) | 0.060 | 5 (12.8) | 142 (24.5) | 0.097 | 8 (47.1) | 280 (45.9) | 0.925 |
| Hospitalized for conditions related to IBD | 23 (41.1) | 571 (48) | 0.309 | 14 (35.9) | 184 (31.8) | 0.594 | 9 (52.9) | 387 (63.4) | 0.376 |
| BMI (kg/m2) | 25 | 24 | 0.109 | 24.5 | 25 | 0.663 | 29 | 23 | 0.016 |
| UC/CD | 39 (69.6)/17 (30.4) | 579 (48.7)/610 (51.3) | 0.002/2.42 (1.35-4.32) | - | - | - | - | - | - |
| UC (disease extent) | |||||||||
| Proctitis | 6 (15.4) | 53 (9.2) | 0.414 | 6 (15.4) | 53 (9.2) | 0.414 | - | - | - |
| Left side | 17 (43.6) | 288 (49.7) | 17 (43.6) | 288 (49.7) | - | - | - | ||
| Extensive | 16 (41) | 238 (41.1) | 16 (41) | 238 (41.1) | - | - | - | ||
| CD (disease location) | |||||||||
| Ileal (L1) | 9 (52.9) | 260 (42.9) | 0.005 | - | - | - | 9 (52.9) | 260 (42.9) | 0.005/1.49 (1.10-2.10) |
| Colonic (L2) | 1 (5.9) | 81 (13.1) | - | - | - | 1 (5.9) | 81 (13.1) | ||
| Ileo-colonic (L3) | 5 (29.4) | 267 (43.4) | - | - | - | 5 (29.4) | 267 (43.4) | ||
| Upper GI disease (L4) | 2 (11.8) | 2 (0.6) | - | - | - | 2 (11.8) | 2 (0.6) | ||
| CD (disease behavior) | - | ||||||||
| Inflammatory disease (B1) | 12 (70.6) | 457 (74.8) | 0.065 | - | - | - | 12 (70.6) | 457 (74.8) | 0.065 |
| Stenosing (B2) | 4 (23.5) | 49 (8.5) | - | - | - | 4 (23.5) | 49 (8.5) | ||
| Penetrating (B3) | 1 (5.9) | 104 (16.7) | - | - | - | 1 (5.9) | 104 (16.7) | ||
| CD P (perianal disease) | 3 (17.6) | 202 (32.7) | 0.180 | - | - | - | 3 (17.6) | 202 (32.7) | 0.180 |
| EIMs | 18 (32.1) | 606 (51) | 0.006/0.46 (0.26-0.81) | 12 (30.8) | 272 (47) | 0.04/0.50 (0.25-1.02) | 6 (35.3) | 334 (54.8) | 0.112 |
| Erythema nodosum | 0 | 27 | 0.630 | 0 | 11 | 1.0 | 0 | 16 | 1.0 |
| Pyoderma gangrenous | 0 | 9 | 1.0 | 0 | 3 | 1.0 | 0 | 6 | 1.0 |
| Peripheral arthralgia | 10 | 380 | 0.026 | 6 | 168 | 0.067 | 4 | 212 | 0.337 |
| Peripheral arthritis | 0 | 107 | 0.012 | 0 | 36 | 0.157 | 0 | 71 | 0.241 |
| Back pain | 9 | 201 | 0.871 | 5 | 82 | 0.816 | 4 | 119 | 0.756 |
| Ankylosing spondylitis | 1 | 68 | 0.363 | 1 | 27 | 1.0 | 0 | 41 | 0.619 |
| Sacroiliitis | 0 | 31 | 0.396 | 0 | 10 | 1.0 | 0 | 21 | 1.0 |
| Aphthous ulcer | 4 | 238 | 0.017 | 2 | 122 g | 0.016/0.20 (0.05-0.86) | 2 | 116 | 0.752 |
| Thromboembolism | 0 | 31 | 0.396 | 0 | 15 | 0.615 | 0 | 16 | 1.0 |
| Osteoporosis | 2 | 19 | 0.243 | 2 | 7 | 0.105 | 0 | 12 | 1.0 |
| PSC | 2 | 19 | 0.243 | 2 | 7 | 0.105 | 0 | 12 | 1.0 |
| Uveitis | 0 | 16 | 1.0 | 0 | 6 | 1.0 | 0 | 10 | 1.0 |
| Episcleritis | 0 | 5 | 0 | 2 | 1.0 | 0 | 3 | 1.0 | |
| Medications (conventional) | |||||||||
| Thiopurine | 9 (16.1) | 391 (32.9) | 0.008/0.39 (0.19-0.81) | 7 (17.9) | 100 (17.3) | 0.914 | 2 (11.8) | 291 (47.7) | 0.003/0.08 (0.01-0.41) |
| Methotrexate | 0 | 51 (4.3) | 0.165 | 0 | 5 (0.9) | 1.0 | 0 | 46 (7.5) | 0.628 |
| Sulfasalazine | 0 | 53 (4.5) | 0.167 | 0 | 10 (1.7) | 1.0 | 0 | 43 (7) | 0.622 |
| Mesalazine | 10 (17.9) | 407 (34.2) | 0.011 | 8 (20.5) | 122 (21.1) | 0.934 | 2 (11.8) | 285 (46.7) | 0.004 |
| Budesonide | 11 (19.6) | 324 (27.2) | 0.210 | 9 (23.1) | 114 (19.7) | 1.0 | 2 (11.8) | 210 (34.4) | 0.243 |
| Steroids | 0 | 75 (6.3) | 0.044 | 0 | 2 (0.3) | 0.608 | 0 | 73 (12) | 0.051 |
| Cyclosporin | 1 (1.8) | 1 (0.1) | 0.088 | 0 | 0 | 0.914 | 0 | 0 | - |
| Biological therapy | 15 (26.8) | 586 (49.3) | 0.001/0.38 (0.21-0.69) | 11 (28.2) | 157 (27.1) | 0.882 | 4 (23.5) | 429 (70.3) | < 0.001/0.13 (0.04-0.40) |
| Infliximab | 9 (16.1) | 365 (30.7) | 0.02/0.43 (0.20-0.90) | 6 (15.4) | 99 (17.1) | 0.783 | 3 (17.6) | 266 (43.6) | 0.033/0.28 (0.08-0.97) |
| Adalimumab | 6 (10.7) | 384 (32.8) | < 0.001/0.25 (0.11-0.59) | 4 (10.3) | 93 (16.1) | 0.335 | 2 (11.8) | 291 (47.7) | 0.003/0.15 (0.03-0.64) |
| Vedolizumab | 6 (10.7) | 111 (9.3) | 0.730 | 6 (15.4) | 36 (6.2) | 0.041/2.74 (1.08-6.97) | 0 | 75 (12.3) | 0.246 |
| Ustekinumab | 1 (1.8) | 81 (6.8) | 0.173 | 1 (2.6) | 13 (2.2) | 0.603 | 0 | 69 (11.1) | 0.240 |
| Sertolizumab | 0 | 31 (2.6) | 0.396 | 0 | 3 (0.5) | 1.0 | 0 | 28 (4.6) | 1.0 |
| Steroid dependence | 21 (37.5) | 532 (44.7) | 0.286 | 1 (2.6) | 6 (1) | 0.649 | 5 (29.4) | 306 (50.2) | 0.091 |
| Steroid resistance | 4 (7.1) | 30 (2.5) | 0.062 | 4 (10.3) | 16 (2.8) | 0.032 | 0 | 14 (2.3) | 1.0 |
| IM resistance | 8 (14.3) | 409 (34.4) | 0.002/0.32 (0.15-0.68) | 4 (10.3) | 99 (17.1) | 0.267 | 4 (23.5) | 310 (50.8) | 0.026/0.30 (0.10-0.90) |
| Thiopurine side effects | 7 (12.5) | 141 (11.9) | 0.885 | 4 (10.3) | 43 (7.4) | 0.527 | 3 (17.6) | 98 (16.1) | 0.745 |
| Methotrexate side effects | 2 (3.6) | 44 (3.7) | 1.0 | 0 | 2 (0.3) | 1.0 | 0 | 42 (6.9) | 0.338 |
| Biologic resistance/intolerance | 0 | 15 (3) | 1.0 | 0 | 6 (1) | 1.0 | 0 | 9 (1.5) | 0.377 |
| Baseline Hb concentration (mg/L) | 12.6 (2.3) | 13 (2.8) | 0.332 | 13 (2.1) | 12.9 (2.9) | 0.571 | 12.4 (2.3) | 13 (2.8) | 0.445 |
| Baseline albumin concentration (g/L) | 41 (8.75) | 42 (9) | 0.574 | 41 (11) | 43 (8) | 0.093 | 42 (10) | 41 (-) | 0.701 |
| Baseline CRP level (mg/L) | 11.4 (28.7) | 10.2 (26.9) | 0.722 | 4.8 (30.6) | 9.1 (24.3) | 0.491 | 17.3 (23) | 11.7 (31) | 0.724 |
| Baseline CDAI (CD) | 302 (277) | 297 (179) | 0.728 | - | 302 (277) | 297 (178) | 0.377 | ||
| Baseline total Mayo score | 9 (3) | 9 (4) | 0.847 | 9 (3) | 9 (4) | 0.800 | - | 9.3 2.4 | - |
| Baseline partial Mayo score | 7 (2) | 7 (2) | 0.710 | 7 (2) | 7(2) | 0.730 | - | 6.7 1.8 | - |
Conventional therapies were widely used in both groups; however, thiopurine use was significantly lower in older-onset patients (16.1% vs 32.9%, OR = 0.39, 95%CI: 0.19-0.81, P = 0.008). Biological therapy was also less frequently administered in the older-onset group (26.8% vs 49.3%, OR = 0.38, 95%CI: 0.21-0.69, P = 0.001). Among biologics, infliximab and ada
No significant differences were observed between the older and younger groups in terms of the overall need for surgery during follow-up (18.2% vs 9.9%, OR = 2.02, 95%CI: 0.42-9.66, P = 0.306) or the development of steroid depen
Immunomodulator resistance was significantly lower in older-onset CD compared with younger-onset patients (23.5% vs 50.8%, P = 0.026). No significant difference was observed between the groups in terms of immunomodulator-related adverse effects.
Baseline disease activity scores (CDAI and Mayo scores) and laboratory parameters (hemoglobin, albumin, and CRP levels) were comparable between the older- and younger-onset groups. All results are summarized in Table 1.
This study provides a comprehensive comparison of clinical characteristics and treatment patterns between older-onset and younger-onset patients with IBD. The key findings indicate that patients with older-onset disease exhibit distinct demographic features, fewer EIMs, and significantly lower use of immunomodulators and biological therapies, despite having similar baseline disease activity and comparable clinical outcomes.
The literature reveals variations in the epidemiology of IBD, with some studies reporting no significant differences in incidence, while others report that either UC or CD is more prevalent among the elderly population[9,10]. Our study revealed a higher prevalence of UC among patients with an older age at onset than among patients with a younger age at onset. This finding is consistent with the literature indicating that UC is more common in older adults[11], possibly because of the cumulative effects of environmental factors and improved diagnostic techniques over time.
The sex distribution showed a higher proportion of male patients in both the older-onset and younger-onset groups, consistent with global patterns of IBD epidemiology. The higher incidence of UC in older-onset patients may reflect cumulative environmental exposures, diagnostic delays, or age-related immune changes. The relationship between smoking and IBD has been studied for a long time, and it has been shown to exert different effects on both CD and UC[12-14]. A significantly lower prevalence of active smokers was observed among patients with older-onset CD than among their younger counterparts. This difference may reflect age-related cessation trends or a protective effect on CD development in older individuals who quit smoking. Additionally, this study revealed a significantly lower family history of IBD among patients with an older age at onset. The reduced family history of IBD in patients with an older age at onset suggests that environmental factors might play a more dominant role in disease onset than genetic factors[15]. Patients with older-onset IBD exhibit distinct clinical presentations and complications[16,17]. Our study did not show significant differences in the extent of the disease between patients with older-onset and younger-onset UC. Conversely, patients with older-onset CD were more likely to exhibit ileal disease and nonpenetrating, nonstenosing disease behavior. These findings emphasize the need for tailored diagnostic and therapeutic approaches based on the age at onset. EIMs are common in patients with IBD, affecting a significant portion of patients with both CD and UC. These manifestations often involve systems such as the musculoskeletal, dermatological, hepatobiliary, and ocular systems, leading to complications that can impact patients’ quality of life even beyond their intestinal symptoms. The prevalence and presentation of EIMs can vary based on the age at onset, disease type, and geographical factors. EIMs are more frequently observed in younger patients with IBD, with peripheral arthritis, ankylosing spondylitis, and primary sclerosing cholangitis being relatively common. However, studies suggest that patients with older-onset IBD generally exhibit a lower frequency of EIMs. This reduction could be attributed to age-related changes in the immune system, such as immunosenescence, which po
The treatment landscape for older-onset IBD differs substantially from that of younger patients, largely due to concerns regarding treatment-related risks[7]. One of the most clinically relevant findings of this study is the markedly lower use of immunomodulators and biological therapies in patients with older-onset IBD. This difference likely reflects a mul
Despite these differences, our results showed that mesalamine remained the most frequently used conventional therapy for UC across all age groups, with no significant difference between the cohorts (20.5% vs 21.1%, P = 1.0). This underscores its established role as a mainstay of treatment in managing UC, regardless of the age at onset[19]. Fur
This study has several limitations that should be explicitly acknowledged. First, the single-center, retrospective design introduces inherent selection bias and limits our ability to make definitive causal inferences. Second, relying on medical records spanning up to 30 years means that the accuracy of the data depends strongly on the completeness of historical documentation; subjective symptoms or social habits (e.g., smoking quantity) might have been underreported or in
This study highlights significant differences in the demographics, disease characteristics, and treatment patterns between patients with older-onset and younger-onset IBD. Patients with an older age at onset present unique challenges, including a higher prevalence of UC, lower rates of a family history and smoking, distinct disease behaviors, and reduced usage of aggressive treatments such as thiopurines and biologics. These findings emphasize the need for tailored clinical approaches and age-specific guidelines to optimize the care and outcomes for patients with older-onset IBD. Further research and the inclusion of older patients in clinical trials are essential to develop effective treatment strategies and improve the quality of life of this population. By understanding and addressing the unique needs of patients with older-onset IBD, health care providers can ensure comprehensive and effective management of this increasingly prevalent group.
We would like to express our sincere gratitude to Dr. Hanife Uzar for her valuable assistance with the statistical analyses conducted in this study.
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