Validation of a Clinical Prediction Model for the Development of Neuromuscular Scoliosis: A Multinational Study
| Autor: | Leonard Elbaum, Domenico Bertoncelli, Virginie Rampal, Michal Latalski, Federico Solla, Paola Altamura, Carlo M. Bertoncelli, Charles Musoff |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Adolescent Cross-sectional study Motor Disorders Scoliosis Logistic regression Models Biological Cerebral palsy Machine Learning 03 medical and health sciences 0302 clinical medicine Double-Blind Method Developmental Neuroscience medicine Humans Cognitive Dysfunction Prospective Studies 030212 general & internal medicine Spasticity Child Prospective cohort study Hip surgery business.industry Cerebral Palsy Prognosis medicine.disease Exact test Cross-Sectional Studies Logistic Models Neurology Pediatrics Perinatology and Child Health Physical therapy Female Neurology (clinical) medicine.symptom business 030217 neurology & neurosurgery Follow-Up Studies |
| Zdroj: | Pediatric Neurology. 79:14-20 |
| ISSN: | 0887-8994 |
| Popis: | Background The objective of this study was to evaluate the performance of a clinical prediction model of neuromuscular scoliosis via external validation. Methods We analyzed a series of 120 patients (mean age ± standard deviation, 15.7 ± 1.8 years; range: 12 to 18 years) with cerebral palsy, severe motor disorders, and cognitive impairment with and without neuromuscular scoliosis treated in two specialized units (70 patients from Nice, France, and 50 patients from Lublin, Poland) in a cross-sectional, double-blind study. Data on etiology, diagnosis, functional assessments, type of spasticity, epilepsy, scoliosis, and clinical history were collected prospectively between 2005 and 2015. Fisher's exact test and multiple logistic regressions were used to identify influential factors for developing spinal deformity. Thus, we applied a predictive model based on a logistic regression algorithm to predict the probability of scoliosis onset for new patients. Results Children with truncal tone disorders ( P = Multivariate logistic regression highlighted previous hip surgery ( P = 0.002 ≈ 0.005), intractable epilepsy ( P = 0.01 ≈ 0.04) and female gender (0.07) as influent factors in the two cohorts. Average accuracy, sensitivity, and specificity of the predictive model were 74%. Conclusions We validated a prediction model of neuromuscular scoliosis. In cerebral palsy subjects with the previouslymentioned predictors of scoliosis, the frequency of clinical examinations of spine and spinal x-ray should be increased to easily identify candidates for treatment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect