Applying Latent Profile Analysis to CLEFT-Q Data: A Framework for Understanding Patient Reported Outcomes in Cleft Care

ObjectiveTo describe characteristic CLEFT-Q response profiles and patterns in patients with cleft palate and/or lip (CP ± L).DesignRetrospective analysis using latent profile analysis (LPA) to categorize patient-reported outcome responses into distinct profiles.SettingTertiary care pediatric hospital with multidisciplinary cleft team.Patients, ParticipantsPatients aged 8-29 years with CP ± L completing CLEFT-Q questionnaires from September 2021 to June 2025 (<i>n</i> = 596). Total of 923 responses analyzed after excluding 94 responses from patients under 8 years.InterventionsAdministration of the 119-item CLEFT-Q questionnaire prior to clinic visits, measuring appearance, function, and quality of life.Main Outcome Measure(s)Six latent profiles identified through LPA based on CLEFT-Q scores. Secondary outcomes included profile stability and surgical effects.ResultsSix profiles of CLEFT-Q responses emerged among subjects: Universally Affected-Moderate (UA1, <i>n</i> = 228, 24.7%), Universally Affected-Severe (UA2, <i>n</i> = 119, 12.9%), Facial Appearance-Moderate (FA1, <i>n</i> = 183, 19.8%), Facial Appearance-Severe (FA2, <i>n</i> = 56, 6.1%), Social/School/Speech distress (SSS, <i>n</i> = 95, 10.3%), and Minimally Distressed (MD, <i>n</i> = 242, 26.2%). Patients in severe profiles (UA2 and FA2) were older (<i>P</i> < .001) and more likely to have complete cleft lip (<i>P</i> < .001), while patients in the MD profile were younger and more likely to have isolated cleft palate (<i>P</i> < .001). Among 279 patients with longitudinal CLEFT-Q data, 47.5% remained in the same profile at subsequent CLEFT-Q response, with longer follow-up intervals predicting profile change (<i>P</i> = .049).ConclusionsLatent profile analysis categorizes CLEFT-Q responses into six clinically meaningful profiles correlating with demographics and treatment outcomes. This approach may guide personalized cleft care, though additional studies are needed for validation.

Authors

Institutions

Publication Details

Journal
The Cleft Palate-Craniofacial Journal
Published
2025-11-28
DOI
https://doi.org/10.1177/10556656251396633
Primary Topic
Cleft Lip and Palate Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applying Latent Profile Analysis to CLEFT-Q Data: A Framework for Understanding Patient Reported Outcomes in Cleft Care

Jing Yang Huang, Nicholas Han, Oksana A. Jackson, Jesse A. Taylor et al.
The Cleft Palate-Craniofacial Journal
Cleft Lip and Palate Research
article

Applying Latent Profile Analysis to CLEFT-Q Data: A Framework for Understanding Patient Reported Outcomes in Cleft Care

Jing Yang Huang, Nicholas Han, Oksana A. Jackson, Jesse A. Taylor, Isabel A. Ryan, Jordan Williams Swanson, Meagan Wu, Allison C. Hu, Eric C. Liao, Leanne Magee, Scott P. Bartlett, Philip D. Tolley
article en

Abstract

ObjectiveTo describe characteristic CLEFT-Q response profiles and patterns in patients with cleft palate and/or lip (CP ± L).DesignRetrospective analysis using latent profile analysis (LPA) to categorize patient-reported outcome responses into distinct profiles.SettingTertiary care pediatric hospital with multidisciplinary cleft team.Patients, ParticipantsPatients aged 8-29 years with CP ± L completing CLEFT-Q questionnaires from September 2021 to June 2025 (<i>n</i> = 596). Total of 923 responses analyzed after excluding 94 responses from patients under 8 years.InterventionsAdministration of the 119-item CLEFT-Q questionnaire prior to clinic visits, measuring appearance, function, and quality of life.Main Outcome Measure(s)Six latent profiles identified through LPA based on CLEFT-Q scores. Secondary outcomes included profile stability and surgical effects.ResultsSix profiles of CLEFT-Q responses emerged among subjects: Universally Affected-Moderate (UA1, <i>n</i> = 228, 24.7%), Universally Affected-Severe (UA2, <i>n</i> = 119, 12.9%), Facial Appearance-Moderate (FA1, <i>n</i> = 183, 19.8%), Facial Appearance-Severe (FA2, <i>n</i> = 56, 6.1%), Social/School/Speech distress (SSS, <i>n</i> = 95, 10.3%), and Minimally Distressed (MD, <i>n</i> = 242, 26.2%). Patients in severe profiles (UA2 and FA2) were older (<i>P</i> < .001) and more likely to have complete cleft lip (<i>P</i> < .001), while patients in the MD profile were younger and more likely to have isolated cleft palate (<i>P</i> < .001). Among 279 patients with longitudinal CLEFT-Q data, 47.5% remained in the same profile at subsequent CLEFT-Q response, with longer follow-up intervals predicting profile change (<i>P</i> = .049).ConclusionsLatent profile analysis categorizes CLEFT-Q responses into six clinically meaningful profiles correlating with demographics and treatment outcomes. This approach may guide personalized cleft care, though additional studies are needed for validation.

The Cleft Palate-Craniofacial Journal
Children's Hospital of Philadelphia (US), University of Pennsylvania (US)
Openalex Percentile: Top 61%
Cleft Lip and Palate Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.