Efficacy of procedural treatments for pediatric hidradenitis suppurativa: A systematic review.
Rahul MassonNeha ParvathalaElaine MaTerri ShihSwetha AtluriChristopher J SayedMarcia HogelingVivian Y ShiJennifer L HsiaoPublished in: Pediatric dermatology (2023)
Hidradenitis suppurativa (HS) is a painful, inflammatory skin disease that has historically been understudied in the pediatric population. Procedural interventions, such as surgical excisions, skin grafts, and lasers, are important for comprehensive HS disease management. However, there is a lack of data on procedural treatments for HS in pediatric patients. The purpose of this study was to conduct a systematic review of the literature on the efficacy and safety of procedural treatments for HS in pediatric patients. In April 2022, MEDLINE and EMBASE databases were searched for articles on the efficacy of procedural treatments for HS in patients <18 years of age. Two independent reviewers extracted data from relevant studies. From 1974 to 2021, 23 articles with 81 patients were identified. Patients' Hurley stages included stage I (9.1%, 1/11), II (36.4%, 4/11), and III (54.5%, 6/11). The most extensively studied procedural interventions include negative pressure wound therapy (n = 30), surgical excision with skin graft/flap (n = 19), and endoscopic electrode or laser treatment (n = 11). In all, promising response rates for procedural management strategies were observed in the literature but the findings were largely based on case reports/series. Randomized controlled trials (RCTs), especially those geared toward minimally invasive procedural treatments, are needed to help guide clinicians on the most efficacious treatment modalities for pediatric patients with HS.
Keyphrases
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- ejection fraction
- randomized controlled trial
- hidradenitis suppurativa
- minimally invasive
- systematic review
- prognostic factors
- peritoneal dialysis
- clinical trial
- electronic health record
- mesenchymal stem cells
- palliative care
- wound healing
- big data
- machine learning
- bone marrow
- replacement therapy
- case report
- data analysis
- robot assisted