Differentiating clinical characteristics of perianal inflammatory bowel disease from perianal hidradenitis suppurativa.

Crohn's disease HS IBD clinical characteristics features fistula hidradenitis suppurativa inflammatory bowel disease perianal

Journal

International journal of dermatology
ISSN: 1365-4632
Titre abrégé: Int J Dermatol
Pays: England
ID NLM: 0243704

Informations de publication

Date de publication:
22 Sep 2024
Historique:
revised: 12 08 2024
received: 22 02 2024
accepted: 07 09 2024
medline: 22 9 2024
pubmed: 22 9 2024
entrez: 22 9 2024
Statut: aheadofprint

Résumé

Perianal draining tunnels in hidradenitis suppurativa (HS) and perianal fistulizing inflammatory bowel disease (IBD) present diagnostic and management dilemmas. We conducted a retrospective chart review of patients with perianal disease evaluated at Mayo Clinic from January 1, 1998, through July 31, 2021. Patients' demographic and clinical data were extracted, and 28 clinical features were collected. After experimenting with several machine learning techniques, random forests were used to select the 15 most important clinical features to construct the diagnostic prediction model to distinguish perianal HS from fistulizing perianal IBD. A total of 263 patients were included (98 with HS, 100 with IBD, and 65 with both IBD and HS). Patients with HS had a higher mean body mass index, a higher smoking rate, and more commonly showed cutaneous manifestations of tunnels and comedones, while fistulas, abscesses, induration, anal tags, ulcers, and anal fissures were more common in patients with IBD. In addition to having lesions in the perianal area, patients with IBD often had lesions in the buttocks and perineum, while those with HS had additional lesions in the axillae and groin. Among the statistically significant features, the 15 most important were identified by random forest: fistula, tunnel, digestive symptom, knife-cut ulcer, perineum, body mass index, age, axilla, abscess, tags, smoking, groin, genital cutaneous edema, erythema, and bilateral/unilateral. The results of this study may help differentiate perianal lesions, especially perineal HS and fistulizing perineal IBD, and provide promise for a better therapeutic outcome.

Sections du résumé

BACKGROUND BACKGROUND
Perianal draining tunnels in hidradenitis suppurativa (HS) and perianal fistulizing inflammatory bowel disease (IBD) present diagnostic and management dilemmas.
METHODS METHODS
We conducted a retrospective chart review of patients with perianal disease evaluated at Mayo Clinic from January 1, 1998, through July 31, 2021. Patients' demographic and clinical data were extracted, and 28 clinical features were collected. After experimenting with several machine learning techniques, random forests were used to select the 15 most important clinical features to construct the diagnostic prediction model to distinguish perianal HS from fistulizing perianal IBD.
RESULTS RESULTS
A total of 263 patients were included (98 with HS, 100 with IBD, and 65 with both IBD and HS). Patients with HS had a higher mean body mass index, a higher smoking rate, and more commonly showed cutaneous manifestations of tunnels and comedones, while fistulas, abscesses, induration, anal tags, ulcers, and anal fissures were more common in patients with IBD. In addition to having lesions in the perianal area, patients with IBD often had lesions in the buttocks and perineum, while those with HS had additional lesions in the axillae and groin. Among the statistically significant features, the 15 most important were identified by random forest: fistula, tunnel, digestive symptom, knife-cut ulcer, perineum, body mass index, age, axilla, abscess, tags, smoking, groin, genital cutaneous edema, erythema, and bilateral/unilateral.
CONCLUSIONS CONCLUSIONS
The results of this study may help differentiate perianal lesions, especially perineal HS and fistulizing perineal IBD, and provide promise for a better therapeutic outcome.

Identifiants

pubmed: 39306801
doi: 10.1111/ijd.17498
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Japanese Society of Dermatology
Organisme : Department of Dermatology
Organisme : Mayo Clinic, Rochester, Minnesota
Organisme : Japanese Dermatological Association Grant-In-Aid for Study Abroad

Informations de copyright

© 2024 the International Society of Dermatology.

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Auteurs

Mika Yamanaka-Takaichi (M)

Department of Dermatology, Mayo Clinic, Rochester, MN, USA.

Soheila Nadalian (S)

Laboratory for Knowledge Inference in Medical Image Analysis, University of Waterloo, Waterloo, ON, Canada.

Edward V Loftus (EV)

Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.

Eric C Ehman (EC)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Austin Todd (A)

Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA.

Anna B Grimaldo (AB)

Mayo Clinic Alix School of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.

Mariana Yalon (M)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Caroline L Matchett (CL)

Division of Gastroenterology and Hepatology, Mayo Clinic School of Graduate Medical Education, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.

Nisha B Patel (NB)

Division of Gastroenterology and Hepatology, Mayo Clinic School of Graduate Medical Education, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.

Nasro A Isaq (NA)

Department of Dermatology, Mayo Clinic School of Graduate Medical Education, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.

Laura E Raffals (LE)

Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.

David A Wetter (DA)

Department of Dermatology, Mayo Clinic, Rochester, MN, USA.

Dennis H Murphree (DH)

Department of Dermatology, Mayo Clinic, Rochester, MN, USA.

Robert R Cima (RR)

Division of Colon and Rectal Surgery, Mayo Clinic, Rochester, MN, USA.

Eric J Dozois (EJ)

Division of Colon and Rectal Surgery, Mayo Clinic, Rochester, MN, USA.

Noah Goldfarb (N)

Department of Dermatology, University of Minnesota Physicians, Minneapolis, MN, USA.

Hamid R Tizhoosh (HR)

Kimia lab, Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA.

Afsaneh Alavi (A)

Department of Dermatology, Mayo Clinic, Rochester, MN, USA.

Classifications MeSH