“Long term speech outcomes after using the Sommerlad technique for primary palatoplasty: a retrospective study in the Wilhelmina Children’s Hospital, Utrecht.”

Abstract

Objectives After cleft lip and/or palate (CL/P) repair, children may develop velopharyngeal insufficiency (VPI) leading to speech imperfections, necessitating additional speech correcting surgery. This study examines the incidence of VPI and speech correcting surgery after Sommerlad’s palatoplasty for CL/P, and its association with various clinical features. Materials and methods A retrospective cohort study was performed in the Wilhelmina Children’s Hospital in Utrecht and child records from 380 individuals with CL/P registered from 2008 to 2017 were retrospectively reviewed. Inclusion criteria comprised the diagnosis of CL/P, primary palatoplasty according to Sommerlad’s technique, and speech assessment at five years or older. Association between cleft type and width, presence of additional genetic disorders and postoperative complications (palatal dehiscence, fistula) were assessed using odds ratios and chi squared tests. Results A total of 239 patients were included. The VPI rate was 52.7% (n = 126) and in 119 patients (49.8%) a speech correcting surgery was performed. Severe cleft type, as indicated by a higher Veau classification, was associated with a significant higher rate of speech correcting surgeries (p = 0.033). Significantly more speech correcting surgeries were performed in patients with a cleft width >10 mm, compared to patients with a cleft width ≤10 mm (p < 0.001). Patients with oronasal fistula underwent significantly more speech correcting surgeries than those without fistula (p = 0.004). No statistically significant difference was found in the incidence of speech correcting surgery between patients with and without genetic disorders (p = 0.890). Conclusions/clinical relevance Variations in cleft morphology, cleft width and complications like oronasal fistula are associated with different speech outcomes. Future research should focus on creating a multivariable prediction model for speech correcting surgery in CL/P patients.