Abstract
Background:
Hidradenitis suppurativa (HS) is a chronic, recurrent skin disease that may be associated with inflammatory bowel disease (IBD).
Objectives:
This study aimed to describe the features and therapeutic requirements of IBD and HS in patients who present both entities and the risk factors for HS development in patients with IBD.
Methods:
Case-controlled, retrospective study of all patients diagnosed with IBD-HS in the ENEIDA registry. Cases were paired 1:2 with controls (IBD without HS).
Design:
This was a retrospective, case–control study.
Results:
A total of 819 patients were included: 273 patients with IBD-HS and 546 controls. Female sex (62% vs 44%, p = 0.0001), active smoking (45% vs 18%, p = 0.0001), Crohn’s disease (CD; 83% vs 55%, p = 0.0001), perianal disease (59% vs 33%, p = 0.0001), extraintestinal manifestations (38% vs 17%, p = 0.0001), and psychiatric disorders (18% vs 2%, p < 0.05) were more frequent among patients with IBD-HS than in controls. The average body mass index was greater in the IBD-HS group. The most frequently HS-affected locations were axillary (57%) and genital (43%) areas. Use of biologicals and CD-related perianal surgery was more common among patients with CD-HS (77% vs 66%, p = 0.003; 37% vs 13%, p < 0.001), compared to controls with only CD.
Conclusion:
Patients with IBD-HS exhibit a distinctive phenotype with higher therapeutic requirements for the subset of patients with CD-HS compared to those without HS. Assessment of this comorbidity should be considered in patients with suggestive skin lesions and IBD to improve the outcomes of both conditions.
Keywords: comorbidity, Crohn’s disease, hidradenitis suppurativa, inflammatory bowel disease, skin, ulcerative colitis
Plain language summary
Skin and gut: understanding the double trouble of hidradenitis and IBD
Understanding the link between two inflammatory diseases: This study looked at patients who have both Hidradenitis Suppurativa (HS), a chronic and painful skin condition characterized by lumps and abscesses, and Inflammatory Bowel Disease (IBD), which includes Crohn’s disease (CD) and ulcerative colitis (UC). The goal was to understand the typical characteristics of these patients and what might increase the risk of developing HS if you already have IBD.
Key findings: The research, which compared patients with both conditions to IBD patients without HS, found that the group with both diseases had a distinct set of characteristics:
Gender: HS was much more common in women (62%).
Lifestyle: A significantly higher number of patients with both conditions were active smokers (45%).
Type of IBD: The skin condition was far more frequently associated with CD (83%) than with UC.
Other symptoms: These patients had more perianal disease (problems around the anus), more extraintestinal manifestations (symptoms outside the gut, like joint pain), and more psychiatric disorders. They also tended to have a higher Body Mass Index (BMI).
Skin impact: The most common areas affected by HS were the armpits (axillary) and the genital area.
Treatment needs: Patients with CD and HS needed more intensive medical care, including a greater use of biological medications and more frequent surgery related to their perianal disease.
Conclusion: The study clearly shows that patients who have both IBD and HS represent a specific patient group with a more severe overall disease picture, especially for those with CD. The researchers suggest that doctors should actively check for HS in IBD patients who have suggestive skin symptoms to help manage both conditions better and improve patient outcomes.
Introduction
Inflammatory bowel diseases (IBD), including Crohn’s disease (CD) and ulcerative colitis (UC), are chronic, progressive, and disabling conditions characterized by a relapsing course. Up to 50% of IBD patients will develop at least one extraintestinal manifestation (EIM) in their lifetime. EIMs most frequently involve joints, eyes, or skin. 1 The most common cutaneous EIMs are aphthous stomatitis, pyoderma gangrenosum, and erythema nodosum, although other skin conditions have also been associated with IBD, including hidradenitis suppurativa (HS).2–4 HS or acne inversa is a chronic disease of the pilosebaceous unit characterized by recurrent, deep, painful nodules, tunnels, and abscesses in apocrine gland-rich areas, such as the anogenital, groin, and axillary regions. 5 It predominantly affects young adults, and has well-established risk factors, including smoking, obesity, and female gender.5,6 Genetics also contributes significantly, as a family history of the disorder is observed in more than 30% of individuals affected. 7 The pathogenesis of HS is multifactorial, and some studies have linked HS with dysregulation of the interleukin (IL)-12/23 and tumor necrosis factor-α (TNF-α) pathways, pointing toward an immune origin.8,9 In addition, several studies have reported an association between HS and IBD, based on histological similarities (development of sinus tracts, granulomatous inflammation, and scarring), shared environmental factors, and good response to anti-TNF treatment in both diseases.10–15 Moreover, epidemiological studies indicate that the prevalence of HS in patients with IBD ranges from 7% to 23%, with a 9-fold higher relative risk than the general population.11,16–18
Although evidence on risk factors for HS in patients diagnosed with IBD is scarce, some studies suggest that these patients are more likely to be overweight or obese, current or former smokers, and to have ileocolonic and/or perianal disease involvement.19,20 Infliximab and adalimumab are effective in the treatment of both HS and IBD.21,22 Ustekinumab, approved for treating patients with IBD, has also been effective in some case series of HS.23–25
Although the association between HS and IBD has been described, there is a need for more studies that better characterize the link between these two conditions. This study, therefore, aimed to comprehensively describe the clinical features and therapeutic requirements of patients with IBD-HS and to determine the risk factors for developing HS in this large real-world cohort of patients with IBD.
Methods
Study design and patients
We conducted a case-controlled, retrospective, nationwide study based on the ENEIDA 26 registry, sponsored by the Spanish Working Group in IBD (GETECCU), a prospectively maintained database with continuous external monitoring to ensure the completeness and consistency of the data entered. The reporting of this study conforms to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement (Supplemental Material). 27 The case group comprised patients with IBD-HS over 18 years, included in the ENEIDA registry from 2006 to 2022. All of them had an established diagnosis of UC, CD, or unclassified IBD according to the European Crohn’s and Colitis Organisation, 28 with a coexistent diagnosis of HS confirmed by a dermatologist. The control group consisted of patients with IBD and without HS who attended the same centers during the same time period of time. The non-occurrence of HS was confirmed by designating control subjects from the ENEIDA registry who lacked an HS diagnosis within their spectrum of documented comorbidities. Cases were randomly paired with twice the number of controls. Considering the study design, matching techniques were not appropriate since the investigated factor (HS development) was definitive of the case condition.
Data collection and definitions
Inflammatory bowel disease
Data collection included demographic characteristics, including age, sex, most recent body mass index (BMI), smoking status (never smoker, former smoker, or current smoker), and relevant comorbidities. IBD-related features were also collected, including age at IBD diagnosis, disease duration, type of disease (UC, CD, or unclassified IBD), disease location, phenotype according to the Montreal classification, 29 family history of IBD, and EIMs. Therapeutic requirements, including biological or non-biological treatments and the need for IBD-related surgery, were also recorded.
Hidradenitis suppurativa
Diagnosis of HS was confirmed clinically by dermatologists at each participating center, based on the presence of typical lesions (deep nodules, abscesses, and tunnels), characteristic topography (intertriginous areas), and a chronic relapsing course. HS characteristics were collected using a disease-specific questionnaire, recording timing of HS diagnosis (before or after IBD diagnosis), disease duration, family history of HS, location (axilla, groin, extremities, genital, perianal, gluteal, mammary, or other), type of lesion (nodules, abscesses, and tunnels), and severity stage as defined by the Hurley system (stage 1—formation of abscesses (single or multiple) without tunnels and healing/scarring; stage 2—recurrent abscesses with tunnels and healing, with distinct single or multiple lesions; and stage 3—diffuse or nearly diffuse involvement, or multiple interconnected tunnels and abscesses throughout the area). HS-related treatment was also recorded (antibiotics, metformin, retinoids, biological and non-biological therapies, and surgery).
The response to HS treatment was defined by the Hidradenitis Suppurativa Clinical Response criteria as a reduction of ⩾50% in the count of inflammatory lesions (abscesses and inflammatory nodules) with no increase in abscesses or draining fistulas. It was also noted whether HS was a paradoxical manifestation of any advanced therapy received by the patients. Paradoxical HS was defined as the occurrence of HS during treatment with biologicals, confirmed by dermatologists.
Statistical analysis
A descriptive analysis was conducted on baseline demographic characteristics and IBD manifestations. Continuous variables were presented as mean and standard deviation or median with interquartile range (IQR), as appropriate. The Shapiro–Wilk normality test was performed to test normality. Categorical variables were presented as numbers and percentages and compared using the Chi-square test or Fisher’s exact test when any expected cell counts are less than 5. Quantitative variables that followed a normal distribution (verified using the Shapiro–Wilk test) were analyzed using the Student’s t test. If the distribution was not normal, the U-Mann–Whitney non-parametric test was applied. A p-value of <0.05 was considered statistically significant.
The analysis of potential risk factors that could influence HS development was performed using a multivariate logistic regression analysis. Collinearity was assessed using a correlation matrix. Pairwise correlations <0.7 between predictors indicated no substantial collinearity. A maximum of 12 non-collinear variables (female sex, active smoking, age at diagnosis, BMI, CD, extent of CD, perianal disease, EIMs, psychiatric disorders, hepatic steatosis, ischemic cardiopathy, and hypothyroidism) were included in the multivariate logistic regression analysis since a total of 273 events (HS cases) were available, exceeding the criterion of a minimum of 10–20 events per variable included in the analysis. Results from the logistic regression analysis were expressed using odds ratios and 95% confidence intervals (CIs), with p-values.
Results
Patient characteristics
Forty hospitals participated in the study across Spain, including a total of 819 patients. At the time of data extraction from the ENEIDA database, we identified a total of 273 patients with IBD-HS (cases) who were paired with 546 patients with IBD and without HS (controls; Figure 1). The main demographic features of patients are described in Table 1. Patients with IBD-HS had a significantly greater average BMI compared to controls (27.8 ± 6.6 vs 25.7 ± 4.6; p < 0.001). Patients with HS and IBD were also significantly more likely to be obese (35.6% vs 16.9%, p < 0.001) than patients without HS. The prevalence of female sex was higher in the IBD-HS cohort (62.3% vs 44.1%, p < 0.001) than in the control group. Patients with IBD-HS were younger and more frequently active smokers than controls (43 ± 12 vs 53 ± 15 years, p < 0.05; 45.2% vs 18%, p < 0.001). No differences were found between both cohorts regarding the overall rate of comorbidities (34.8% vs 36.3%, p = 0.68). However, hepatic steatosis (5.2% vs 1.7%, p = 0.005), hypothyroidism (4.4% vs 1.1%, p = 0.003), and psychiatric disorders (17.9% vs 2%, p < 0.001) were more prevalent among patients with IBD-HS.
Figure 1.

Flow chart of patients with inflammatory bowel disease included in the study.
Table 1.
Patient baseline demographic characteristics.
| Baseline demographic characteristics | Whole cohort, n = 819 |
Patients with IBD-HS, n = 273 | Controls, n = 546 |
p
(cases vs controls) |
|---|---|---|---|---|
| Female sex, n (%) | 411 (50.2) | 170 (62.3) | 241 (44.1) | <0.001 |
| Age, mean ± SD (years) | 49.36 ± 14.9 | 42.9 ± 12 | 52.5 ± 15 | <0.001 |
| BMI (kg/m2), mean ± SD | 26.4 ± 5.5 | 27.8 ± 6.6 | 25.7 ± 4.6 | <0.001 |
| BMI group, n (%) | ||||
| Underweight | 24/705 (3.4) | 6/250 (2.4) | 18/455 (4) | 0.27 |
| Normal | 286/705(40.6) | 94/250 (37.6) | 192/455 (42.2) | 0.23 |
| Overweight | 229/705 (32.5) | 61/250 (24.4) | 168/455 (36.9) | <0.001 |
| Obese | 166/705 (23.5) | 89/250 (35.6) | 77/455 (16.9) | <0.001 |
| Comorbidities, n (%) | 293 (36.8) | 95 (34.8) | 198 (36.3) | 0.68 |
| Hypertension | 117 (14.7) | 30 (12) | 87 (16) | 0.14 |
| Diabetes mellitus | 56 (7) | 17 (6.8) | 39 (7.1) | 0.85 |
| Dyslipidemia | 120 (15.1) | 33 (13.1) | 87 (15.9) | 0.37 |
| Ischemic heart disease | 32 (4) | 3 (1.2) | 29 (5.3) | 0.006 |
| Hepatic steatosis | 22 (2.8) | 13 (5.2) | 9 (1.7) | 0.005 |
| Hypothyroidism | 17 (2.1) | 11 (4.4) | 6 (1.1) | 0.003 |
| Psychiatric disorders | 56 (7) | 45 (17.9) | 11 (2) | <0.001 |
| Active smoking, n (%) | 216 (26.8) | 117 (45.2) | 99 (18) | <0.001 |
HS, hidradenitis suppurativa; IBD, inflammatory bowel disease; IBD-HS, patients with both IBD and HS; SD, standard deviation.
The clinical IBD-related characteristics in both cohorts are detailed in Table 2. Patients with IBD-HS were younger at the time of IBD diagnosis than controls. The prevalence of CD diagnosis was higher in the IBD-HS group (83.2% vs 54.6%, p < 0.001), and perianal involvement was more common among IBD-HS patients (55% vs 20%, p = 0.001). In CD, upper gastrointestinal location was less frequent in IBD-HS patients compared to controls (3.1% vs 14.4%, p < 0.001), and fewer patients were >40 years at CD diagnosis (15.9% vs 32.2%, p < 0.001). There were no differences between groups in either CD behavior or UC extent. EIMs were more frequent among IBD-HS than in controls (38% vs 17%, p < 0.0001), with statistically higher rates of joint (25.3% vs 8.8%, p < 0.001) and skin manifestations (12.5% vs 7.3%, p = 0.01).
Table 2.
Inflammatory bowel disease characteristics in patients with and without hidradenitis suppurativa.
| Characteristics of IBD | Whole cohort, n = 819 |
Patients with IBD-HS, n = 273 | Controls, n = 546 |
p
(cases vs controls) |
|---|---|---|---|---|
| Age at IBD diagnosis, mean ± SD (years) | 33.98 ± 14.85 | 28.34 ± 11.9 | 36.8 ± 15.34 | <0.001 |
| Disease duration, mean ± SD (years) | 15.3 ± 9.9 | 14.5 ± 9.2 | 15.7 ± 10.35 | 0.046 |
| Familial IBD, n (%) | 120 (14.7) | 48 (17.6%) | 72 (13.2%) | 0.09 |
| IBD type, n (%) | ||||
| UC | 274 (33.5) | 41 (15) | 233 (42.7) | <0.001 |
| CD | 525 (64.1) | 227 (83.2) | 298 (54.6) | <0.001 |
| Unclassified colitis | 20 (2.4) | 5 (1.8) | 15 (2.7) | 0.42 |
| UC extent, n (%) | ||||
| Proctitis | 44 (16.1) | 8 (19.5) | 36 (15.5) | 0.51 |
| Left-sided colitis | 102 (37.2) | 10 (24.4) | 92 (39.9) | 0.06 |
| Extensive colitis | 128 (46.7) | 23 (56.1) | 105 (45.1) | 0.19 |
| CD, age at diagnosis, n (%) | ||||
| <16 years | 64 (12.2) | 33 (14.6) | 31 (10.4) | 0.14 |
| 16–40 years | 328 (62.6) | 157 (69.5) | 171 (57.4) | 0.05 |
| >40 years | 132 (25.2) | 36 (15.9) | 96 (32.2) | <0.001 |
| CD location, n (%) | ||||
| Ileal | 165 (31.5) | 73 (32.4) | 92 (30.9) | 0.7 |
| Colonic | 88 (16.8) | 40 (17.6) | 48 (16.1) | 0.6 |
| Ileocolonic | 220 (42.1) | 105 (46.3) | 115 (38.6) | 0.06 |
| Upper gastrointestinal | 50 (9.6) | 7 (3.1) | 43 (14.4) | <0.001 |
| CD behavior, n (%) | ||||
| Inflammatory | 302 (57.4) | 131 (57.7) | 170 (57) | 0.87 |
| Stenosing | 90 (17.1) | 32 (14.1) | 58 (19.5) | 0.193 |
| Fistulizing | 134 (25.5) | 64 (28.2) | 70 (23.5) | 0.2 |
| Perianal disease, n (%) | 256 (31.6) | 146 (55.1) | 110 (20.2) | <0.001 |
| Perianal CD, n (%) | 232 (44.2%) | 134 (59) | 98 (32.9) | <0.001 |
| Extraintestinal manifestations, n (%) | 200 (24.4) | 105 (38.5) | 95 (17.4) | <0.001 |
| Articular | 117 (14.3) | 69 (25.3) | 48 (8.8) | <0.001 |
| Cutaneous | 74 (9) | 34 (12.5) | 40 (7.3) | 0.016 |
| Ocular | 26 (3.2) | 13 (4.8) | 13 (2.4) | 0.067 |
| Abdominal surgery related to IBD, n (%) | 208 (25.4) | 81 (29.7) | 127 (23.3) | 0.049 |
| Perianal surgery related to IBD, n (%) | 139 (17) | 95 (34.9) | 44 (8.1) | <0.001 |
| Perianal surgery related to CD, n (%) | 124 (23.6%) | 85 (37.6%) | 39 (13.1%) | <0.001 |
CD, Crohn’s disease; HS, hidradenitis suppurativa; IBD, inflammatory bowel disease; IBD-HS, patients with both IBD and HS; SD, standard deviation; UC, ulcerative colitis.
Figure 2 summarizes therapeutic requirements by IBD type. In CD, biological agents were used more frequently (77.5% vs 65.8, p = 0.003) and perianal CD surgical procedures were also more common among CD-HS versus CD controls without HS (37.6% vs 13.1, p < 0.001). No differences regarding abdominal surgery or biological and non-biological use were observed between groups in the UC subset of patients. A detailed description of the non-biological and biological therapies used in both study groups is provided in Table 3.
Figure 2.
Therapeutic requirements by inflammatory bowel disease type: (a) ulcerative colitis and (b) Crohn’s disease.
Table 3.
Use of non-biological and biological therapies.
| Use of therapies | Whole cohort, n = 819 |
Patients with IBD-HS, n = 273 | Controls, n = 546 |
p
(cases vs controls) |
|---|---|---|---|---|
| Non-biological therapies, n (%) | 216 (26.3) | 70 (25.6) | 146 (26.7) | 0.69 |
| Thiopurines | 173 (21.1) | 54 (19.8) | 119 (21.8) | 0.5 |
| Methotrexate | 34 (4.2) | 14 (5.1) | 20 (3.7) | 0.32 |
| Tacrolimus/cyclosporine | 3 (0.4) | 1 (0.4) | 2 (0.4) | 1 |
| Tofacitinib | 3 (0.4) | 0 | 3 (0.5) | 0.2 |
| Upadacitinib | 3 (0.4) | 1 (0.4) | 2 (0.4) | 1 |
| Biological agents, n (%) | 499 (60.9) | 206 (75.4) | 293 (53.6) | <0.001 |
| Infliximab | 133 (16.2) | 55 (20.1) | 78 (14.3) | 0.03 |
| Adalimumab | 167 (20.4) | 76 (27.8) | 91 (16.7) | <0.001 |
| Golimumab | 9 (1.1) | 1 (0.4) | 8 (1.5) | 0.15 |
| Ustekinumab | 140 (17.1) | 65 (23.8) | 75 (13.8) | <0.001 |
| Vedolizumab | 50 (6.1) | 9 (3.3) | 41 (7.5) | 0.018 |
HS, hidradenitis suppurativa; IBD, inflammatory bowel disease; IBD-HS, patients with both IBD and HS.
Characteristics of HS in patients with IBD
The diagnosis of IBD preceded HS diagnosis in 208 patients (77.6%), and the duration of HS showed a median value of 6 years (IQR 3–11). The most frequent location was the axillary region (58%), followed by the genital (42.9%), perianal (31.3%), gluteal (27%), groin (21.6%), and mammary (17.5%) locations. Patients presented a median of 2 affected areas (IQR 1–3). Main characteristics and therapeutic requirements of HS are described in Table 4. The severity of HS measured by the Hurley system was mild (stage 1) in 95 (42.2%) patients, moderate (stage 2) in 69 (30.9%), and severe (stage 3) in 59 (26.5%) patients. One hundred twenty-seven patients (47%) underwent surgical excision of HS. Paradoxical HS was observed in 19 (7%) patients, associated with infliximab (n = 4, 21%), adalimumab (n = 11, 58%), ustekinumab (n = 3, 16%), and other unspecified biological therapy (n = 1, 5%), leading to discontinuation of the biological agent in 7 (41%) patients.
Table 4.
Characteristics of hidradenitis suppurativa in patients with inflammatory bowel disease.
| Characteristics of HS | Patients with IBD-HS, n = 273 |
|---|---|
| Duration of HS, years, median (IQR) | 6 (3–11) |
| Diagnosis of HS prior to IBD, n (%) | 60/268 (22.4) |
| Family history of HS, n (%) | 10/215 (4.7) |
| Number of affected areas, median (IQR) | 2 (1–3) |
| Phenotype, n (%) | |
| Nodules | 203/255 (79.6) |
| Abscesses | 141/252 (56) |
| Fistulas | 90/247 (36.4) |
| Hurley stage, n (%) | |
| 1 | 95/223 (42.2) |
| 2 | 69/223 (30.9) |
| 3 | 59 /223 (26.5) |
| Surgery for HS, n (%) | 127 /270 (47) |
| Number of surgeries for HS, median (IQR) | 1 (1-2) |
| Treatment for HS, n (%) | |
| Antibiotics | 151 (57.9) |
| Metformin | 8 (3.1) |
| Systemic retinoid | 38 (14.6) |
| Biologicals | 140 (51.3) |
| Infliximab | 49 (17.9) |
| Adalimumab | 86 (31.5) |
| Ustekinumab | 49 (17.9) |
| Certolizumab | 1 (0.36) |
| Secukinumab | 2 (0.73) |
| Guselkumab | 2 (0.73) |
| Efficacy of biological therapy (HiSCR), n (%) | |
| Infliximab | 29/44 (65.9) |
| Adalimumab | 46/79 (58.2) |
| Ustekinumab | 31/44 (70.5) |
| Other biologicals (certolizumab, guselkumab, secukinumab) | 5/8 (50) |
HiSCR, Hidradenitis Suppurativa Clinical Response; HS, hidradenitis suppurativa; IBD, inflammatory bowel disease; IBD-HS, patients with both IBD and HS; IQR, interquartile range; SD, standard deviation.
Risk factors associated with HS in IBD patients
In the multivariate analysis, the factors that predicted the development of HS were female sex, active smoking, increased BMI, CD diagnosis, perianal involvement, the presence of EIMs, and a history of psychiatric disorders, while upper gastrointestinal involvement in CD appeared to be associated with a lower risk of HS (Figure 3).
Figure 3.
Logistic regression analysis of hidradenitis suppurativa risk factors in inflammatory bowel disease patients.
Discussion
Despite current evidence supporting the association between HS and IBD, 30 little information is available on the risk factors for HS developing in patients with IBD.
The present study is the largest cohort of patients with coexistent IBD-HS reported to date and reveals that these patients exhibit a particular and distinctive phenotype. The subgroup of patients with CD-HS has higher therapeutic requirements compared to patients with CD without HS. Our data could help to identify the risk factors that contribute to HS development among patients with IBD.
We observed that patients with IBD-HS are younger than controls, and that female sex is an independent predictive factor for the development of HS among patients with IBD. In accordance with our results, Janse et al. 11 also found that patients with both IBD and HS were significantly younger than patients with IBD alone. Other independent risk factors for HS that emerged from the multivariate analysis of the present study are active smoking and increased body weight, findings that align with previous studies.11,19 Furthermore, smoking, overweight, and female sex are well known factors that contribute to HS in the general population. 5 Female predominance of HS in the general population (with a female-to-male ratio of approximately 3:1) has been observed in Europe and North America. 31 Conversely, a higher prevalence among males was observed in Asian populations, with an approximate female-to-male ratio of 1:2. 32 It has been hypothesized that genetics, hormones, and variations in smoking habits may contribute to the discrepancies observed in gender distribution. Epithelial thickening potentially caused by nicotine may be the link between a smoking habit and HS pathology. 33
Another notable finding in our study is that the odds of psychiatric disorders among patients with IBD-HS are 5.7 times greater (95% CI 2.08–15.7) compared with patients with only IBD. Ramos-Rodríguez et al. 17 similarly found that patients with IBD-HS had an increased prevalence of depression compared to controls without HS. Although the precise mechanisms underlying the association between HS, depression, anxiety, and/or suicidality remain unclear, several potential explanations have been proposed. HS is characterized by significant symptoms, including pruritus, skin pain, disfiguring lesions, sexual disturbances, psychological distress, and a diminished quality of life. 34 In fact, up to 30% of adults and 16% of children with HS in the general population suffer from depression. 35 On the other hand, patients with IBD-HS are affected by two chronic diseases interrelated with depression and/or anxiety, undoubtedly contributing to the high rate of psychiatric disorders reported in our study.
We also found that CD was the most prevalent IBD type among patients with IBD-HS, which is consistent with previous studies that have demonstrated a strong association between HS and CD.11,14,19 This connection suggests common pathophysiological features between these two disease processes, mediated not only by shared risk factors but also by common immunological pathways, such as IL-23/Th-17 and TNFα dysregulation. 9 In addition, we observed a higher prevalence of perianal disease in patients with both conditions, as suggested in earlier research.18–20 Perianal HS may have been misdiagnosed as perianal CD due to their similar clinical features. 36 Furthermore, the existence of isolated perianal CD poses a diagnostic challenge, as it can mimic other perianal pathologies, notably HS. In such confusing cases, MRI serves a valuable role in distinguishing between the two entities. 37 Nevertheless, all patients in our study were evaluated and treated according to a multidisciplinary pathway in which gastroenterologists worked alongside dermatologists, reducing the likelihood of an incorrect diagnosis.
Age does not account for the lower frequency of upper GI involvement in the cases of our research given that the IBD-HS cohort was significantly younger than the control group. Nonetheless, given the low prevalence of this localization in our cohort, we must be careful not to overstate the potential protective effect of upper GI Crohn’s involvement on HS development.
Interestingly, a higher use of anti-TNF agents was observed in the CD-HS population compared to controls. Nevertheless, previous data regarding therapeutic requirements in patients with IBD-HS are conflicting.11,19,38 Our findings may reflect an increased need for biological therapy associated with CD, perianal disease, and EIMs, which were more prevalent in the IBD-HS group. In addition, anti-TNF agents might be the best option for this patient group because a single medication can address both conditions. 22 Another explanation for the greater use of biologicals in our study could be the severity of HS, compared to other series that did not find differences in anti-TNF use between patients with IBD-HS and those without HS. 19 Perianal CD-related surgery was also more frequent among the CD-HS subgroup in our series. Unfortunately, the clinical activity of IBD was not recorded in our study, but these findings suggest a more aggressive perianal phenotype in the CD-HS subgroup. In line with this, a Canadian study 20 found that patients with IBD-HS were more likely to have active endoscopic IBD and concurrent active perianal CD compared with IBD controls without HS.
In line with previous studies, we found that the axillae were the most commonly affected HS sites, followed by the genital area,10,20 while other studies, in contrast, showed that groin areas were the most common HS location.18,19,38 Depending on the age and sex of those affected by HS in the general population, there are some differences in the location of lesions. 5 The axillae are the most affected area in patients younger than 18 years and adult men, while adult women have more often involvement in the groin areas.
In our study population, almost 70% of patients with HS responded to the anti-TNF agents and ustekinumab. In fact, both anti-TNF and ustekinumab have been used successfully in patients with severe HS, 39 although currently only case series and case reports are available regarding ustekinumab. 40
Finally, a remarkable finding was the presence of paradoxical HS in 7% of patients with IBD-HS, mostly associated with anti-TNF or ustekinumab treatment. Echoing our results, in a retrospective analysis of 25 patients with autoimmune conditions, Faivre et al. identified 12 instances of paradoxical HS secondary to adalimumab therapy. Notably, clinical improvement followed drug discontinuation, whereas treatment re-challenge triggered a recurrence of HS. It is noteworthy that CD is one of the most frequent comorbidities among patients experiencing paradoxical HS reactions.41,42 However, the exact mechanism linking paradoxical HS manifestation and CD is still unclear.
This collaborative study has several strengths that should be highlighted. First of all, this is the largest cohort of patients with IBD and concomitant HS reported to date. Our results are bolstered not only by the sample size but also by a robust control cohort, enabling us to clinically characterize patients with IBD at risk of presenting HS. Furthermore, the collection of HS-related variables using a disease-specific questionnaire ensures the quality of the data and the reliability of the obtained results. Nonetheless, several limitations, mainly arising from the retrospective study design, must be acknowledged. This study, relying on data from multiple tertiary referral centers, may over-represent patients with more severe disease (severe HS, complex IBD, or the combination of both) as they are more likely to be referred and recorded. The study population might not be representative of all patients with IBD and HS in the general population. On the other hand, a significant limitation of this study is the absence of data on the clinical activity of IBD at the time of data collection. This deficiency prevents us from correlating IBD activity with HS activity, and future prospective studies are needed to comment on the relationship between bowel disease activity and skin disease activity to further understand this association. In addition, IBD preceded HS in a high percentage of cases; this fact could have conditioned the choice of treatment, opting for therapies effective for both diseases.
Conclusion
In conclusion, we have characterized factors linked to the coexistent diagnosis of HS and IBD. These insights enable clinicians to more effectively screen IBD patients for HS risk, particularly those presenting with female sex, obesity, smoking history, CD, perianal involvement, and EIMs. The subset of patients with CD-HS often requires biologicals as well as CD-related perianal surgery.
Supplemental Material
Supplemental material, sj-doc-1-tag-10.1177_17562848261423351 for Hidradenitis suppurativa in patients with inflammatory bowel disease: a national multicenter study from the GETECCU-ENEIDA Registry by Lucía Madero-Velázquez, Ruth de Francisco, Belen Herreros, Carmen Yagüe, Luis Bujanda, Xavier Calvet, Angel Ponferrada, Mariam Aguas, Francisco Rodríguez-Moranta, Ignacio Marín-Jiménez, Lourdes Catalá, Carla Gargallo-Pueyo, José Huguet, Francisco Mesonero, David Monfort, Mónica Sierra-Ausín, Laura Igualada, Elena Ricart-Gomez, María González-Vivo, María José García, Alejandro Hernandez Camba, Ainara Elorza, Lucía Zabalza-San Martín, Laura Ramos, María Dolores Martín-Arranz, Isabel Ruiz-Núñez, Pilar Martínez-Montiel, Pilar Soto, Cristina Roig, María Molina, Miriam Mañosa, Cristina Alba, Manuel Barreiro-de Acosta, Javier P. Gisbert, Patricia Ramírez de la Piscina, Rufo Lorente, Yamile Zabana, Belen Botella, Sabino Riestra, Olivia Belen-Galipienso, David Busquets, Federico Argüelles, José Carlos Pascual, Pedro Zapater, Eugeni Domènech and Ana Gutiérrez in Therapeutic Advances in Gastroenterology
Acknowledgments
None.
Footnotes
ORCID iDs: Ruth de Francisco
https://orcid.org/0000-0001-8476-1672
Xavier Calvet
https://orcid.org/0000-0002-6278-9663
Angel Ponferrada
https://orcid.org/0000-0002-1176-276X
Mariam Aguas
https://orcid.org/0000-0003-4353-569X
Francisco Rodríguez-Moranta
https://orcid.org/0000-0003-4025-5510
Carla Gargallo-Pueyo
https://orcid.org/0000-0002-3545-2707
José Huguet
https://orcid.org/0000-0001-6486-1262
Francisco Mesonero
https://orcid.org/0000-0002-7864-8187
Elena Ricart-Gomez
https://orcid.org/0000-0003-3354-1594
María José García
https://orcid.org/0000-0002-6517-7005
Alejandro Hernandez-Camba
https://orcid.org/0000-0002-8653-207X
Laura Ramos
https://orcid.org/0000-0001-7015-1742
María Dolores Martín-Arranz
https://orcid.org/0000-0002-1872-0917
Miriam Mañosa
https://orcid.org/0000-0002-9051-2581
Manuel Barreiro-de Acosta
https://orcid.org/0000-0001-5915-1477
Javier P. Gisbert
https://orcid.org/0000-0003-2090-3445
Yamile Zabana
https://orcid.org/0000-0003-4023-8868
José Carlos Pascual
https://orcid.org/0000-0001-8279-215X
Pedro Zapater
https://orcid.org/0000-0001-7927-858X
Ana Gutiérrez
https://orcid.org/0000-0002-5460-4139
Supplemental material: Supplemental material for this article is available online.
Contributor Information
Lucía Madero-Velázquez, Gastroenterology Department, Hospital General Universitario Dr. Balmis, ISABIAL, Alicante, Spain.
Ruth de Francisco, Gastroenterology Department, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain.
Belen Herreros, Gastroenterology Department, Hospital Marina Baixa, Villajoyosa, Alicante, Spain.
Carmen Yagüe, Gastroenterology Department, Hospital Universitario Miguel Servet, Zaragoza, Spain.
Luis Bujanda, Gastroenterology Department, Hospital Universitario de Donostia, Instituto de Investigación Sanitaria Biogipuzkoa, Universidad del País Vasco (UPV/EHU), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, San Sebastián, Spain.
Xavier Calvet, Gastroenterology Department, Parc Taulí Hospital Universitari, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Institut d’Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona, Barcelona, Spain.
Angel Ponferrada, Gastroenterology Department, Hospital Universitario Infanta Leonor, Madrid, Spain.
Mariam Aguas, Gastroenterology Department, Hospital Universitario y Politécnico La Fe, IIS La Fe, Valencia, Spain.
Francisco Rodríguez-Moranta, Gastroenterology Department, Hospital Universitari de Bellvitge, Institut d’Investigació Biomédica de Bellvitge, L’Hospitalet de Llobregat, Barcelona, Spain.
Ignacio Marín-Jiménez, Gastroenterology Department, Hospital Gregorio Marañón, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Lourdes Catalá, Gastroenterology Department, Hospital General Universitario de Elche, Alicante, Spain.
Carla Gargallo-Pueyo, Gastroenterology Department, Hospital Clínico Universitario Lozano Blesa, IIS Aragón, Zaragoza, Spain.
José Huguet, Gastroenterology Department, Consorcio Hospital General Universitario de Valencia, Valencia, Spain.
Francisco Mesonero, Gastroenterology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain.
David Monfort, Gastroenterology Department, Hospital Universitari Consorci Sanitari de Terrassa, Barcelona, Spain.
Mónica Sierra-Ausín, Gastroenterology Department, Complejo Asistencial Universitario de León, León, Spain.
Laura Igualada, Gastroenterology Department, Hospital Fundación de Alcorcón, Madrid, Spain.
Elena Ricart-Gomez, Gastroenterology Department, Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Fundació Recerca Clínic Barcelona-Institut Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
María González-Vivo, Gastroenterology Department, Hospital del Mar, Barcelona, Spain.
María José García, Gastroenterology Department, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Marqués de Valdecilla, Santander, Spain.
Alejandro Hernandez Camba, Gastroenterology Department, Hospital Universitario Nuestra Señora de la Candelaria, Santa Cruz de Tenerife, Spain.
Ainara Elorza, Gastroenterology Department, Hospital Universitario de Galdakao, Biobizkaia Health Research Institute, Galdakao, Spain.
Lucía Zabalza-San Martín, Gastroenterology Department, Hospital Universitario de Navarra, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain.
Laura Ramos, Gastroenterology Department, Hospital Universitario de Canarias, La Laguna, Santa Cruz de Tenerife, Spain.
María Dolores Martín-Arranz, Gastroenterology Department, Hospital Universitario La Paz, Madrid, Spain.
Isabel Ruiz-Núñez, Gastroenterology Department, Hospital Universitario Rio Hortega, Valladolid, Spain.
Pilar Martínez-Montiel, Gastroenterology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.
Pilar Soto, Gastroenterology Department, Hospital Universitario Reina Sofía, IMIBIC, UCO, Córdoba, Spain.
Cristina Roig, Gastroenterology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
María Molina, Gastroenterology Department, Hospital General Universitario de Castellón, Castellón de la Plana, Spain.
Miriam Mañosa, Gastroenterology Department, Hospital Germans Trias i Pujol, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Badalona, Spain.
Cristina Alba, Gastroenterology Department, Hospital Clínico San Carlos, Madrid, Spain.
Manuel Barreiro-de Acosta, Gastroenterology Department, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela Health Research Institute, Santiago de Compostela, Spain.
Javier P. Gisbert, Gastroenterology Department, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Universidad Autónoma de Madrid, Madrid, Spain
Patricia Ramírez de la Piscina, Gastroenterology Department, Hospital Universitario de Araba, Araba, Spain.
Rufo Lorente, Gastroenterology Department, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain.
Yamile Zabana, Gastroenterology Department, Hospital Universitari Mútua Terrassa, Universidad de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Terrassa, Barcelona, Spain.
Belen Botella, Gastroenterology Department, Hospital Infanta Cristina, Madrid, Spain.
Sabino Riestra, Gastroenterology Department, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain.
Olivia Belen-Galipienso, Gastroenterology Department, Hospital General Universitario Dr. Balmis, ISABIAL, Alicante, Spain.
David Busquets, Gastroenterology Department, Hospital Universitari Dr. Josep Trueta, IDIBGI, Girona, Spain.
Federico Argüelles, Gastroenterology Department, Hospital Universitario Virgen Macarena, Universidad de Sevilla, Seville, Spain.
José Carlos Pascual, Dermatology Department, Hospital General Universitario Dr. Balmis, ISABIAL, Alicante, Spain.
Pedro Zapater, Clinical Pharmacology Department, Hospital General Universitario Dr. Balmis, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, ISABIAL, Universidad Miguel Hernández de Elche, Alicante, Spain.
Eugeni Domènech, Gastroenterology Department, Hospital Germans Trias i Pujol, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Universitat Autònoma de Barcelona, Badalona, Spain.
Ana Gutiérrez, Department of Gastroenterology, Hospital General Universitario Dr. Balmis Alicante, Pintor Baeza 12, Alicante 03010, SpainCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, ISABIAL, Universidad Miguel Hernández de Elche, Alicante, Spain.
Declarations
Ethics approval and consent to participate: The registry ENEIDA was approved by the Ethics Committees of each participating center, and all patients gave their informed consent for inclusion. The study protocol was approved by the GETECCU Research Board.
Consent for publication: Not applicable.
Author contributions: Lucía Madero-Velázquez: Conceptualization; Data curation; Formal analysis; Funding acquisition; Investigation; Methodology; Project administration; Validation; Visualization; Writing – original draft; Writing – review & editing.
Ruth de Francisco: Data curation; Investigation; Visualization; Writing – review & editing.
Belen Herreros: Data curation; Investigation; Visualization; Writing – review & editing.
Carmen Yagüe: Data curation; Investigation; Visualization; Writing – review & editing.
Luis Bujanda: Data curation; Investigation; Visualization; Writing – review & editing.
Xavier Calvet: Data curation; Investigation; Visualization; Writing – review & editing.
Angel Ponferrada: Data curation; Investigation; Visualization; Writing – review & editing.
Mariam Aguas: Data curation; Investigation; Visualization; Writing – review & editing.
Francisco Rodríguez-Moranta: Data curation; Investigation; Visualization; Writing – review & editing.
Ignacio Marín-Jiménez: Data curation; Investigation; Visualization; Writing – review & editing.
Lourdes Catalá: Data curation; Investigation; Visualization; Writing – review & editing.
Carla Gargallo-Pueyo: Data curation; Investigation; Visualization; Writing – review & editing.
José Huguet: Data curation; Investigation; Visualization; Writing – review & editing.
Francisco Mesonero: Data curation; Investigation; Validation; Writing – review & editing.
David Monfort: Data curation; Investigation; Visualization; Writing – review & editing.
Mónica Sierra-Ausín: Data curation; Investigation; Visualization; Writing – review & editing.
Laura Igualada: Data curation; Investigation; Visualization; Writing – review & editing.
Elena Ricart-Gomez: Data curation; Investigation; Visualization; Writing – review & editing.
María González-Vivo: Data curation; Investigation; Visualization; Writing – review & editing.
María José García: Data curation; Investigation; Visualization; Writing – review & editing.
Alejandro Hernandez-Camba: Data curation; Investigation; Visualization; Writing – review & editing.
Ainara Elorza: Data curation; Investigation; Visualization; Writing – review & editing.
Lucía Zabalza-San Martín: Data curation; Investigation; Visualization; Writing – review & editing.
Laura Ramos: Data curation; Investigation; Visualization; Writing – review & editing.
María Dolores Martín-Arranz: Data curation; Investigation; Visualization; Writing – review & editing.
Isabel Ruiz-Núñez: Data curation; Investigation; Visualization; Writing – review & editing.
Pilar Martínez-Montiel: Data curation; Investigation; Visualization; Writing – review & editing.
Pilar Soto: Data curation; Investigation; Visualization; Writing – review & editing.
Cristina Roig: Data curation; Investigation; Visualization; Writing – review & editing.
María Molina: Data curation; Investigation; Visualization; Writing – review & editing.
Miriam Mañosa: Data curation; Investigation; Visualization; Writing – review & editing.
Cristina Alba: Data curation; Investigation; Visualization; Writing – review & editing.
Manuel Barreiro-de Acosta: Conceptualization; Data curation; Investigation; Visualization; Writing – review & editing.
Javier P. Gisbert: Data curation; Investigation; Validation; Visualization; Writing – review & editing.
Patricia Ramírez de la Piscina: Data curation; Investigation; Visualization; Writing – review & editing.
Rufo Lorente: Data curation; Investigation; Validation; Visualization; Writing – review & editing.
Yamile Zabana: Data curation; Investigation; Visualization; Writing – review & editing.
Belen Botella: Data curation; Investigation; Validation; Visualization; Writing – review & editing.
Sabino Riestra: Data curation; Investigation; Visualization; Writing – review & editing.
Olivia Belen-Galipienso: Data curation; Investigation; Visualization; Writing – review & editing.
David Busquets: Data curation; Investigation; Visualization; Writing – review & editing.
Federico Argüelles: Data curation; Investigation; Visualization; Writing – review & editing.
José Carlos Pascual: Conceptualization; Data curation; Investigation; Visualization; Writing – review & editing.
Pedro Zapater: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Software; Supervision; Validation; Visualization; Writing – review & editing.
Eugeni Domènech: Data curation; Investigation; Visualization; Writing – review & editing.
Ana Gutiérrez: Conceptualization; Data curation; Formal analysis; Funding acquisition; Investigation; Methodology; Project administration; Resources; Software; Supervision; Validation; Visualization; Writing – original draft; Writing – review & editing.
Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The ENEIDA registry of GETECCU is supported by AbbVie, Takeda, Pfizer, Lilly, Biogen, and Galapagos. This manuscript has received a scientific publication training grant provided by GETECCU and funded by Pfizer. Pfizer does not contribute to the study design and/or conduct.
R.d.F. has received support for congress and conference attendance and education funding from Pfizer, AbbVie, Tillots, Takeda, Ferring, and Janssen. X.C. has received grants or contracts from AbbVie, Janssen, Kern, and Takeda. AbbVie, Janssen, Takeda, Galapagos, and Kern have paid or sponsored X.C. for giving lectures, presentations, manuscript writing, or educational events. He has received financial support for attending meetings and/or travel from Ferring, Janssen, and AbbVie, and participates on a Data Safety Monitoring Board and the Advisory Board of Jansen, Galapagos. A.P. has served as a speaker or has received research or education funding or advisory fees from Lilly, Takeda, J and J, FAES Pharma, Falk, AbbVie, Kern Pharma, and Alfasigma. M.A. has served as a speaker or has received research or education funding or advisory fees from AbbVie, Abbott, Alfasigma, Faes, Dr. Falk, Ferring, Kern Pharma, Janssen, Lilly, Norgine, and STADA. F.R.-M. has served as a speaker and has received research or education funding or advisory fees from Lilly, Takeda, J&J, FAES Pharma, Falk, AbbVie, Pfizer, Tyllots, Ferring, and Kern Pharma. I.M.-J. has served as a speaker, a consultant, and advisory member for or has received research funding from AbbVie, Amgen, Chiesi, Dr. Falk Pharma, Faes Farma, Ferring, Fresenius, Galapagos, Gebro Pharma, Janssen, Kern Pharma, Lilly, MSD, Otsuka Pharmaceutical, Pfizer, Sandoz, Shire Pharmaceuticals, Takeda, Tillotts Pharma, and Vifor Pharma. J.H. has served as a speaker, a consultant, and advisory member for Lilly, MSD, Ferring, AbbVie, Janssen, Biogen, Sandoz, Kern Pharma, Faes Farma, and Takeda. F.M. has served as a speaker for and received consulting fees from MSD, AbbVie, Takeda, Janssen, Pfizer, Ferring Pharmaceuticals, Kern Pharma, Dr. Falk Pharma, Galapagos, Chiesi Farmaceutici, Tillotts Pharma, and Faes Farma. M.S.-A. has served as a speaker or has received research or education funding or advisory fees from AbbVie, Ferring, Janssen, Lilly, Pfizer, Takeda, and Pfizer. E.R.-G. has received support for congress and conference attendance, speaker fees, research support, or consulting fees from MSD, AbbVie, Ferring, Janssen, Otsuka, Pfizer, Takeda, Faes Farma, Galapagos/Alphasigma, Kern Pharma, Lilly, and Fresenius-Kabi. M.J.G. has received financial support for traveling and educational activities from Janssen, Pfizer, AbbVie, Takeda, Kern Pharma, Lilly, Faes Farma, and Ferring. A.H-C. has served as a speaker or has received research or education funding or advisory fees from Lilly, Takeda, J and J, FAES Pharma, Falk, AbbVie, Adacyte Therapeutics, Tyllots, Ferring, Kern Pharma, Alfasigma, and Chiesi. L.R. has served as a speaker or has received research or education funding or advisory fees from Lilly, Takeda, J and J, AbbVie, Adacyte Therapeutics, Ferring, and Chiesi. M.D.M.-A. as a speaker or has received research or education funding or advisory fees from AbbVie, Pfizer, Takeda, Janssen, Tillotts Pharma, Lilly, and Galapagos. C.R. has received support for conference attendance and education funding from Kern Pharma, Ferring, Alfasigma, Faes Farma, Pfizer, and Takeda. M.M. has served as a speaker or has received research or education funding and advisory fees from Lilly, Takeda, J&J, FAES Pharma, Ferring, Falk, AbbVie, Pfizer, Tillots, Ferring, and Kern Pharma. M.B.-d.A. has been a speaker, consultant, and advisory member for or has received research funding from MSD, AbbVie, Janssen, Kern Pharma, Celltrion, Takeda, Alphasigma, Lilly, Pfizer, Sandoz, Biocon, Abivax, Fresenius, Faes Farma, Ferring, Tillots, Chiesi, Adacyte, Diasorin, Oncostellae, and SunRock. J.P.G. has served as speaker, consultant, and advisory member for or has received research funding from MSD, AbbVie, Pfizer, Kern Pharma, Biogen, Mylan, Takeda, Janssen, Roche, Sandoz, Celgene/Bristol Myers, Gilead/Galapagos/Alfasigma, Lilly, Sanofi, STADA, Teva, Ferring, Faes Farma, Shire Pharmaceuticals, Dr. Falk Pharma, Tillotts Pharma, Chiesi, Casen Fleet, Gebro Pharma, Otsuka Pharmaceutical, Norgine, Italfarmaco, and Vifor Pharma. Y.Z. has received support for conference attendance, speaker fees, research support, and consulting fees from: AbbVie, Adacyte Therapeutics, Alfa-Sigma, Amgen, Boehringer Ingelheim, Dr Falk Pharma, FAES Pharma, Fresenius Kabi, Ferring, Galapagos, J and J, Kern Pharma, Lilly, MSD, Pfizer, Sanofi, Sandoz, Takeda, and Tillotts Pharma. B.B. has received support for conference attendance, speaker fees, research support, and consultancy fees from AbbVie, MSD, Takeda, Janssen, Pfizer, Shire, Chiesi, DrFalk Pharma, Faes Pharma, Ferring, Biogen, Galapagos, and Alfasigma. S.R. has served as a speaker or has received research or education funding or advisory fees from AbbVie, Adacyte Therapeutics, Ferring, Galapagos, Janssen, Kern Pharma, Lilly, Pfizer, Takeda, and Tillotts. D.B. has received support for congress and conference attendance and education funding from Lilly, Pfizer, AbbVie, Tillotts, Takeda, Ferring, and J&J. J.C.P. has served as a speaker or received advisory fees from AbbVie, Novartis, and UCB. E.D. has served as a speaker or has received research or education funding or advisory fees from AbbVie, Adacyte Therapeutics, Biogen, Celltrion, Ferring, Galapagos, Gilead, GoodGut, Imidomics, Janssen, Kern Pharma, Lilly, MSD, Pfizer, Roche, Samsung, Takeda, and Tillotts. A.G. has served as a speaker or has received research or education funding or advisory fees from Lilly, Takeda, J and J, FAES Pharma, Falk, AbbVie, Pfizer, Adacyte Therapeutics, Tillotts, Ferring, Gilead, Kern Pharma, Sandoz, Fresenius Kabi, Galapagos, Alfasigma, Chiesi, and MSD.
Availability of data and materials: All data analyzed during this study are included in this published article. Further enquiries can be directed to the corresponding author.
References
- 1. Gordon H, Burisch J, Ellul P, et al. ECCO guidelines on extraintestinal manifestations in inflammatory bowel disease. J Crohns Colitis 2024; 18(1): 1–37. [DOI] [PubMed] [Google Scholar]
- 2. Marzano AV, Borghi A, Stadnicki A, et al. Cutaneous manifestations in patients with inflammatory bowel diseases: pathophysiology, clinical features, and therapy. Inflamm Bowel Dis 2014; 20(1): 213–227. [DOI] [PubMed] [Google Scholar]
- 3. Rogler G, Singh A, Kavanaugh A, et al. Extraintestinal manifestations of inflammatory bowel disease: current concepts, treatment, and implications for disease management. Gastroenterology 2021; 161(4): 1118–1132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Harbord M, Annese V, Vavricka SR, et al.; European Crohn’s and Colitis Organisation. The first European evidence-based consensus on extra-intestinal manifestations in inflammatory bowel disease. J Crohns Colitis 2016; 10(3): 239–254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Sabat R, Alavi A, Wolk K, et al. Hidradenitis suppurativa. Lancet 2025; 405(10476): 420–438. [DOI] [PubMed] [Google Scholar]
- 6. Sabat R, Jemec GBE, Matusiak Ł, et al. Hidradenitis suppurativa. Nat Rev Dis Primers 2020; 6(1): 18. [DOI] [PubMed] [Google Scholar]
- 7. Van Straalen KR, Prens EP, Willemsen G, et al. Contribution of genetics to the susceptibility to hidradenitis suppurativa in a large, cross-sectional Dutch twin cohort. JAMA Dermatol 2020; 156(12): 1359–1362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Kelly G, Hughes R, McGarry T, et al. Dysregulated cytokine expression in lesional and nonlesional skin in hidradenitis suppurativa. Br J Dermatol 2015; 173(6): 1431–1439. [DOI] [PubMed] [Google Scholar]
- 9. Schlapbach C, Hänni T, Yawalkar N, et al. Expression of the IL-23/Th17 pathway in lesions of hidradenitis suppurativa. J Am Acad Dermatol 2011; 65(4): 790–798. [DOI] [PubMed] [Google Scholar]
- 10. Kamal N, Cohen BL, Buche S, et al. Features of patients with Crohn’s disease and hidradenitis suppurativa. Clin Gastroenterol Hepatol 2016; 14(1): 71–79. [DOI] [PubMed] [Google Scholar]
- 11. Janse IC, Koldijk MJ, Spekhorst LM, et al. Identification of clinical and genetic parameters associated with hidradenitis suppurativa in inflammatory bowel disease. Inflamm Bowel Dis 2016; 22(1): 106–113. [DOI] [PubMed] [Google Scholar]
- 12. Yadav S, Singh S, Edakkanambeth Varayil J, et al. Hidradenitis suppurativa in patients with inflammatory bowel disease: a population-based cohort study in Olmsted County, Minnesota. Clin Gastroenterol Hepatol 2016; 14(1): 65–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Garg A, Hundal J, Strunk A. Overall and subgroup prevalence of Crohn disease among patients with hidradenitis suppurativa: a population-based analysis in the United States. JAMA Dermatol 2018; 154(7): 814–818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Egeberg A, Jemec GBE, Kimball AB, et al. Prevalence and risk of inflammatory bowel disease in patients with hidradenitis suppurativa. J Invest Dermatol 2017; 137(5): 1060–1064. [DOI] [PubMed] [Google Scholar]
- 15. Phan K, Tatian A, Woods J, et al. Prevalence of inflammatory bowel disease (IBD) in hidradenitis suppurativa (HS): systematic review and adjusted meta-analysis. Int J Dermatol 2020; 59(2): 221–228. [DOI] [PubMed] [Google Scholar]
- 16. Van der Zee HH, de Winter K, van der Woude CJ, et al. The prevalence of hidradenitis suppurativa in 1093 patients with inflammatory bowel disease. Br J Dermatol 2014; 171(3): 673–675. [DOI] [PubMed] [Google Scholar]
- 17. Ramos-Rodriguez AJ, Timerman D, Khan A, et al. The in-hospital burden of hidradenitis suppurativa in patients with inflammatory bowel disease: a decade nationwide analysis from 2004 to 2014. Int J Dermatol 2018; 57(5): 547–552. [DOI] [PubMed] [Google Scholar]
- 18. Nielsen VW, Attauabi M, Holgersen N, et al. Hidradenitis suppurativa among patients with new-onset inflammatory bowel disease-results from the IBD Prognosis Study. J Crohns Colitis 2025; 19(5): jjaf066. [DOI] [PubMed] [Google Scholar]
- 19. Lukach AJ, Saul MI, Ferris LK, et al. Risk factors for hidradenitis suppurativa in patients with inflammatory bowel disease. Dig Dis Sci 2018; 63(3): 755–760. [DOI] [PubMed] [Google Scholar]
- 20. Tandon P, Govardhanam V, Gallinger Z, et al. Risk factors for developing hidradenitis suppurativa in patients with inflammatory bowel disease: a retrospective case-control study. J Can Assoc Gastroenterol 2020; 4(4): 165–172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Martínez F, Nos P, Benlloch S, et al. Hidradenitis suppurativa and Crohn’s disease: response to treatment with infliximab. Inflamm Bowel Dis 2001; 7(4): 323–326. [DOI] [PubMed] [Google Scholar]
- 22. Kimball AB, Okun MM, Williams DA, et al. Two phase 3 trials of adalimumab for hidradenitis suppurativa. N Engl J Med 2016; 375(5): 422–434. [DOI] [PubMed] [Google Scholar]
- 23. Blok JL, Li K, Brodmerkel C, et al. Ustekinumab in hidradenitis suppurativa: clinical results and a search for potential biomarkers in serum. Br J Dermatol 2016; 174(4): 839–846. [DOI] [PubMed] [Google Scholar]
- 24. Ring HC, Thorsen J, Kirby B, et al. Long-term drug survival of adalimumab, infliximab, secukinumab and ustekinumab in hidradenitis suppurativa: a Danish nationwide cohort study. Br J Dermatol 2024; 190(5): 769–771. (Erratum in: Br J Dermatol 2024; 191(6): e28.) [DOI] [PubMed] [Google Scholar]
- 25. Martora F, Megna M, Battista T, et al. Adalimumab, ustekinumab, and secukinumab in the management of hidradenitis suppurativa: a review of the real-life experience. Clin Cosmet Investig Dermatol 2023; 16: 135–148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Zabana Y, Panés J, Nos P, et al.; En representación de GETECCU. The ENEIDA registry (Nationwide study on genetic and environmental determinants of inflammatory bowel disease) by GETECCU: design, monitoring and functions. Gastroenterol Hepatol 2020; 43(9): 551–558. [DOI] [PubMed] [Google Scholar]
- 27. Von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 2007; 370(9596): 1453–1457. [DOI] [PubMed] [Google Scholar]
- 28. Maaser C, Sturm A, Vavricka SR, et al.; European Crohn’s and Colitis Organisation (ECCO) and the European Society of Gastrointestinal and Abdominal Radiology (ESGAR). ECCO-ESGAR guideline for diagnostic assessment in IBD Part 1: initial diagnosis, monitoring of known IBD, detection of complications. J Crohns Colitis 2019; 13(2): 144–164. [DOI] [PubMed] [Google Scholar]
- 29. Satsangi J, Silverberg MS, Vermeire S, et al. The Montreal classification of inflammatory bowel disease: controversies, consensus, and implications. Gut 2006; 55(6): 749–753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Chen WT, Chi CC. Association of hidradenitis suppurativa with inflammatory bowel disease: a systematic review and meta-analysis. JAMA Dermatol 2019; 155(9): 1022–1027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Ingram JR. The epidemiology of hidradenitis suppurativa. Br J Dermatol 2020; 183(6): 990–998. [DOI] [PubMed] [Google Scholar]
- 32. Lee JH, Kwon HS, Jung HM, et al. Prevalence and comorbidities associated with hidradenitis suppurativa in Korea: a nationwide population-based study. J Eur Acad Dermatol Venereol 2018; 32(10): 1784–1790. [DOI] [PubMed] [Google Scholar]
- 33. Hana A, Booken D, Henrich C, et al. Functional significance of non-neuronal acetylcholine in skin epithelia. Life Sci 2007; 80(24–25): 2214–2220. [DOI] [PubMed] [Google Scholar]
- 34. Patel KR, Lee HH, Rastogi S, et al. Association between hidradenitis suppurativa, depression, anxiety, and suicidality: a systematic review and meta-analysis. J Am Acad Dermatol 2020; 83(3): 737–744. [DOI] [PubMed] [Google Scholar]
- 35. Wright S, Strunk A, Garg A. Prevalence of depression among children, adolescents, and adults with hidradenitis suppurativa. J Am Acad Dermatol 2022; 86(1): 55–60. [DOI] [PubMed] [Google Scholar]
- 36. Bassas-Vila J, González Lama Y. Hidradenitis suppurativa and perianal Crohn disease: differential diagnosis. Actas Dermosifiliogr 2016; 107(Suppl. 2): 27–31. [DOI] [PubMed] [Google Scholar]
- 37. Monnier L, Dohan A, Amara N, et al. Anoperineal disease in hidradenitis suppurativa: MR imaging distinction from perianal Crohn’s disease. Eur Radiol 2017; 27: 4100–4109. [DOI] [PubMed] [Google Scholar]
- 38. Neri B, Mossa M, Salvatori S, et al. Hidradenitis suppurativa and inflammatory bowel disease in a nested case–control study. Dig Liver Dis 2023; 55(4): 490–495. [DOI] [PubMed] [Google Scholar]
- 39. Grant A, Gonzalez T, Montgomery MO, et al. Infliximab therapy for patients with moderate to severe hidradenitis suppurativa: a randomized, double-blind, placebo-controlled crossover trial. J Am Acad Dermatol 2010; 62(2): 205–217. [DOI] [PubMed] [Google Scholar]
- 40. Romaní J, Vilarrasa E, Martorell A, et al. Ustekinumab with intravenous infusion: results in hidradenitis suppurativa. Dermatology 2020; 236(1): 21–24. [DOI] [PubMed] [Google Scholar]
- 41. Faivre C, Villani AP, Aubin F, et al.; French Society of Dermatology and Club Rheumatisms and Inflammation. Hidradenitis suppurativa (HS): an unrecognized paradoxical effect of biologic agents (BA) used in chronic inflammatory diseases. J Am Acad Dermatol 2016; 74(6): 1153–1159. [DOI] [PubMed] [Google Scholar]
- 42. Ruggiero A, Martora F, Picone V, et al. Paradoxical hidradenitis suppurativa during biologic therapy, an emerging challenge: a systematic review. Biomedicines 2022; 10(2): 455. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
Supplemental material, sj-doc-1-tag-10.1177_17562848261423351 for Hidradenitis suppurativa in patients with inflammatory bowel disease: a national multicenter study from the GETECCU-ENEIDA Registry by Lucía Madero-Velázquez, Ruth de Francisco, Belen Herreros, Carmen Yagüe, Luis Bujanda, Xavier Calvet, Angel Ponferrada, Mariam Aguas, Francisco Rodríguez-Moranta, Ignacio Marín-Jiménez, Lourdes Catalá, Carla Gargallo-Pueyo, José Huguet, Francisco Mesonero, David Monfort, Mónica Sierra-Ausín, Laura Igualada, Elena Ricart-Gomez, María González-Vivo, María José García, Alejandro Hernandez Camba, Ainara Elorza, Lucía Zabalza-San Martín, Laura Ramos, María Dolores Martín-Arranz, Isabel Ruiz-Núñez, Pilar Martínez-Montiel, Pilar Soto, Cristina Roig, María Molina, Miriam Mañosa, Cristina Alba, Manuel Barreiro-de Acosta, Javier P. Gisbert, Patricia Ramírez de la Piscina, Rufo Lorente, Yamile Zabana, Belen Botella, Sabino Riestra, Olivia Belen-Galipienso, David Busquets, Federico Argüelles, José Carlos Pascual, Pedro Zapater, Eugeni Domènech and Ana Gutiérrez in Therapeutic Advances in Gastroenterology


