Objective To determine predictors of success following Veau 1 and 2 cleft palate repair in patients with and without syndromes. Study Design Retrospective review of prospectively collected data. Setting Tertiary care children’s hospital. Methods All children <18 months of age undergoing Furlow palatoplasty for Veau 1 and 2 cleft repair between 2000 and 2014 with postoperative perceptual speech assessment (PSA). Results In total, 368 consecutive patients were identified; 95 were excluded, resulting in 273 patients. Median age at surgery was 13.0 months (interquartile range [IQR], 11-15 months) with postoperative PSA at a median of 32.3 months (IQR, 26.3-44.5 months). Fifty patients (18.3%) had syndrome diagnosis; 59 patients (21.6%) had nonsyndromic Robin sequence. Velopharyngeal insufficiency (VPI) occurred in 27 patients (10.5%); 13 underwent secondary speech surgery. Cleft-related speech errors occurred in 46 patients (17.6%). Non-cleft-related speech errors occurred in 155 patients (59.6%) and reduced intelligibility in 127 patients (47.9%). Oronasal fistula occurred in 23 patients (8.8%) and was exclusive to Veau 2 clefts. In multivariate analysis, age >13 months at palatoplasty demonstrated a 6-fold higher rate of VPI (hazard ratio [HR], 6.64; P < .01), worse speech outcomes (HR, 6.04; P < .01; HR, 1.60; P < .01; HR, 1.57; P = .02), and greater speech therapy utilization (HR, 2.18; P < .01). Conclusion VPI occurred in 10% of patients undergoing Furlow palatoplasty repair of Veau 1 or 2 clefts. Age <13 months at palatoplasty was associated with improved speech outcomes and lower VPI incidence (2.8% vs 16.2%). Syndromic diagnosis was associated with noncleft speech errors and reduced intelligibility on univariate analysis but not velopharyngeal function after palatoplasty.
Objective: To assess crowdsourced responses in the evaluation of speech outcomes in children with velopharyngeal dysfunction (VPD). Design: Fifty deidentified speech samples were compiled. Multiple pairwise comparisons obtained by crowdsourcing were used to produce a rank order of speech quality. Ratings of overall and specific speech characteristics were also collected. Twelve speech-language pathologists (SLPs) who specialize in VPD were asked to complete the same tasks. Crowds and experts completed each task on 2 separate occasions at least 1 week apart. Setting: On-line crowdsourcing platform. Participants: Crowdsource raters were anonymous and at least 18 years of age, North American English speakers with self-reported normal hearing. Speech-language pathologists were recruited from multiple cleft/craniofacial teams. Interventions: None. Main Outcome Measure(s): Correlation of repeated assessments and comparison of crowd and SLP assessments. Results: We obtained 6331 lay person assessments that met inclusion criteria via crowdsourcing within 8 hours. The crowds provided reproducible Elo rankings of speech quality, ρ(48) = .89; P <.0001, and consistent ratings of intelligibility and acceptability (intraclass correlation coefficient [ICC] = .87 and .92) on repeated assessments. There was a significant correlation of those crowd rankings, ρ(10) = .86; P = .0003, and ratings (ICC = .75 and .79) with those of SLPs. The correlation of more specific speech characteristics by the crowds and SLPs was moderate to weak (ICC < 0.65). Conclusions: Crowdsourcing shows promise as a rapid way to obtain large numbers of speech assessments. Reliability of repeated assessments was acceptable. Large groups of naive raters yield comparable evaluations of overall speech acceptability, intelligibility, and quality, but are not consistent with expert raters for specific speech characteristics such as resonance and nasal air emission.
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