Efficacy of Ustekinumab for the treatment of perianal fistulizing Crohn’s disease: a multicentre retrospective study - Scorecard - MDSpire

Efficacy of Ustekinumab for the treatment of perianal fistulizing Crohn’s disease: a multicentre retrospective study

  • By

  • Youran Li

  • Xiaomei Sun

  • Ke Wen

  • Lu Lu

  • Wei Wang

  • Minna Wu

  • Jiaze Ma

  • Zailong Zhou

  • Yunfei Gu

  • July 10, 2026

  • 0 min

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Clinical Scorecard: Effectiveness of Ustekinumab in Managing Perianal Fistulizing Crohn's Disease: A Multicenter Retrospective Analysis

At a Glance

CategoryDetail
ConditionPerianal fistulizing Crohn's disease
Key MechanismsUstekinumab targets the p40 subunit of interleukin-12 and interleukin-23.
Target PopulationPatients with perianal fistulizing Crohn's disease who have failed anti-TNF therapy.
Care SettingMultidisciplinary surgical-gastroenterological management in tertiary referral hospitals.

Key Highlights

  • Fistula response rate of 88.3% and clinical remission rate of 70.1% at final follow-up.
  • Significant improvements in inflammatory biomarkers and hemoglobin levels.
  • Definitive surgery and fewer prior biologics are independent predictors of healing.
  • UST was well-tolerated with an adverse event rate of 7.4%.
  • A nomogram was developed for individualized treatment decision-making.

Guideline-Based Recommendations

Diagnosis

  • Diagnosis of pfCD based on clinical, endoscopic, radiological, and/or histological criteria.

Management

  • Combination of medical therapy and surgical intervention is recommended.

Monitoring & Follow-up

  • Fistula response assessed at week 8 and week 16.

Risks

  • Exclusion of patients with active infections, severe dysfunctions, or recent major surgeries.

Patient & Prescribing Data

163 patients with perianal fistulizing Crohn's disease.

UST induction at 6 mg/kg followed by subcutaneous maintenance every 8 weeks.

Clinical Best Practices

  • Integrate surgical and medical therapies for optimal management of pfCD.
  • Utilize a nomogram for predicting treatment outcomes.

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