Algorithm-based Management of Infantile Hemangiomas: Reducing Sequelae and Surgical Interventions

Abstract

Background: In Japan, oral propranolol (PPL) and pulsed dye laser are available for infantile hemangioma (IH) treatment without patient cost-sharing. However, no standardized algorithm exists to guide treatment selection that balances efficacy, potential side effects, and aesthetic risks. This study presents a comprehensive approach utilizing a treatment algorithm and aesthetic risk scoring system. Methods: This retrospective study analyzed outcomes from 156 patients with IHs. Oral PPL was used in IH patients with functional issues, whereas the rest underwent an aesthetic risk assessment that categorized them into low-, moderate-, or high-risk groups to guide treatment choices. Final treatment decisions depended on parental preference. The outcomes of algorithm-compliant and noncompliant patients were compared statistically. Results: The risk score's interrater reliability was 0.973 (95% confidence interval 0.933–0.992), with a mean intrarater reliability of 0.968 ± 0.027 and a mean evaluation time of 14.1 ± 5.0 seconds per case. Among the 156 patients, 88% pursued the algorithm-recommended treatment, whereas 12% opted for different approaches. Algorithm-compliant patients experienced significantly fewer sequelae than did noncompliant patients (5% versus 33%, P < 0.001). Compared with noncompliant patients, algorithm-compliant patients tended to require shorter treatment durations (17.9 versus 25.4 mo, P = 0.08) and fewer laser sessions (5.8 versus 7.2, P = 0.30), with a younger age at resolution (21.3 versus 29.0 mo, P = 0.08). Conclusions: Aesthetic concerns can be crucial for patients with IHs. This study introduces a comprehensive IH management algorithm to reduce the sequelae requiring surgical interventions and improve patients’ quality of life.