Dataset Information

Reliability Analysis of the Distal Radius and Ulna Classification for Assessing Skeletal Maturity for Patients with Adolescent Idiopathic Scoliosis.

ABSTRACT: Study Design Prospective radiographic study. Objective To test the reliability of the Distal Radius and Ulna Classification (DRU). Methods This single-center study included prospectively recruited subjects with adolescent idiopathic scoliosis managed with bracing. The left-hand radiographs were measured using the DRU classification by two examiners. Intra- and interobserver reliability analysis were performed using intraclass correlation (ICC) analysis. Results From these clinics, 161 patients (124 females and 37 males) with left-hand radiographs were included in the study. The mean age was 13.3 years (standard deviation: 1.5). There was excellent intra- (ICC: 0.93 to 0.95) and interobserver (ICC: 0.97) reliability. Conclusions The DRU classification scheme has been shown to be accurate in determining the peak growth phase and growth cessation. It has now been confirmed to be a reliable tool. Future prospective studies should be performed to investigate its application in deciding when to apply bracing or operative treatment.

SUBMITTER: Cheung JP

PROVIDER: S-EPMC4771512 | biostudies-other | 2016 Mar

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:Study designOutcome investigation to verify the internal consistency, reproducibility and validity of the adapted Chinese version of the Scoliosis Research Society-22 (SRS-22) questionnaire for measuring health-related quality of life (HRQoL) in children with idiopathic scoliosis.ObjectiveTo develop this questionnaire for the outcome measurement in treating Chinese adolescents with idiopathic scoliosis and evaluate its metric qualities. The SRS-22 questionnaire has proven to be a valid instrument for clinical assessment of patients with idiopathic scoliosis and has been successfully translated into Spanish and Turkish. In most developing countries, however, quality of life and psychological health have been poorly described when treating children with idiopathic scoliosis.MethodsTrans-cultural adaptation of the SRS-22 questionnaire was carried out according to the International Quality of Life Assessment Project guidelines. The final version was approved by a committee of experts. The questionnaire was completed by 86 adolescents with idiopathic scoliosis who had been treated with a brace; this included 11 males and 75 females, aged from 10 to 18 years (mean 13.9 years). Curve magnitude ranged from 25 degrees to 45 degrees (mean 35.6 degrees ). A subgroup of 30 patients completed the questionnaire again in 3 or 4 weeks.ResultsFive common factors were acquired from factorial analysis, and the cumulative contribution ratio was 67.66%. The overall alpha coefficient of the questionnaire was 0.88. Coefficients for individual domains were as follows: function/activity, 0.70; pain, 0.80; self-image, 0.80; mental health, 0.88; and satisfaction, 0.81. The questionnaire as a whole had a test-retest correlation coefficient of 0.97. Test-retest correlation coefficients for individual domains were as follows: function, 0.85; pain, 0.96; self-image, 0.96; mental health, 0.95; and satisfaction, 0.91.ConclusionThe Chinese version of the SRS-22 questionnaire is eligible in terms of reliability and validity, and can be used to measure HRQoL for adolescent idiopathic scoliosis patients in Mainland China.

Project description:BackgroundThe Proximal Femur Maturity Index (PFMI) can be used to assess skeletal maturity on existing whole-spine radiographs without additional radiation. However, the relationship between the PFMI at the initiation of bracing for adolescent idiopathic scoliosis (AIS) and subsequent curve progression remains unknown. This study aimed to investigate the relationship between the PFMI and curve progression, and the predictability of risks to adulthood curve progression and surgical thresholds based on the PFMI grade at brace initiation.MethodsThis was a prospective study of 202 patients with AIS who were prescribed underarm bracing according to the Scoliosis Research Society criteria and had good brace-wear compliance. The patients were followed from brace initiation until complete skeletal maturity. Longitudinal data on the coronal Cobb angle and skeletal maturity assessments using Risser staging, Sanders staging, the distal radius and ulna classification, and the PFMI were collected. Each patient was assessed on whether the major curve progressed to ≥40° (adulthood deterioration) and ≥50° (the surgical threshold). Logistic regressions were used to predict probabilities of curve progression to the 2 thresholds, adjusted for factors that were significant in univariate analyses.ResultsThe PFMI correlated with the other skeletal maturity indices (r s [Spearman rank correlation] = 0.60 to 0.72, p < 0.001 for all). The pre-brace PFMI grade correlated with progression to ≥40° (r rb [rank-biserial correlation] = -0.30, p < 0.001) and to ≥50° (r rb = -0.20, p = 0.005). Based on regression models (p < 0.001) adjusted for the pre-brace major Cobb angle and curve type, brace initiation at PFMI grades 2 and 3 for a curve of ≥30° had predicted risks of 30% (95% confidence interval [CI], 4% to 55%) and 12% (95% CI, 7% to 17%), respectively, for progression to the surgical threshold. Brace initiation at PFMI grade 5 had 0% progression risk.ConclusionsThe PFMI can be used for predicting curve progression and prognosticating brace outcomes in AIS. Patients with brace initiation at PFMI grade 4 for a curve of <30° or at grade 5 were unlikely to progress to the adulthood deterioration or surgical threshold. In comparison, skeletally immature patients initiating bracing at a PFMI grade of ≤3 for a major curve of ≥30° had a higher risk of progression despite compliant brace wear.Level of evidencePrognostic Level II . See Instructions for Authors for a complete description of levels of evidence.

Project description:Adolescent Idiopathic Scoliosis (AIS) is the most common orthopedic condition requiring surgery, affecting 4% of adolescents. There is currently no proven method or prognostic test to identify symptomatic patients at risk of developing severe scoliosis who could benefit from growth-guided devices or minimally invasive non-fusion instrumentation surgeries. These innovative treatments must be performed at an early disease stage in younger patients to benefit from their growth potential. In this prospective cross-sectional study, we investigated the clinical utility of circulating microRNAs (miRNAs), an important class of small non-coding RNA, as biomarkers to predict the risk of developing severe scoliosis in AIS. Blood samples and clinical data were collected from 116 AIS patients who were followed until skeletal maturity and stratified according to their clinical outcome. Genome-wide expression profiling of miRNAs was performed with plasma obtained at the time of diagnosis of AIS (mean age of 13.3 ± 1.7 years with a mean Cobb angle of 24.4° ± 12.4°). This approach led to the identification of 15 circulating miRNAs that are upregulated in AIS patients who developed a severe scoliosis (Cobb angle ≥45°) at skeletal maturity compared to moderate and mild scoliosis groups (Cobb angle between 25°-44° and <25° respectively). After optimization and the application of Random Forest Models a panel of six miRNAs (miR-1-3p, miR-19a-3p, miR-19b-3p, miR-133b, miR-143-3p, and miR-148b-3p) out of 15 led us to develop an algorithm predicting the risk of developing a severe scoliosis with great accuracy (100%), sensitivity (100%) and specificity (100%). Having a scoliosis predictive bioassay and decision-making tools to predict curve progression in order to find the best treatment plan will undoubtedly transform the orthopedic care system in the field of pediatric scoliosis by integrating innovative precision medicine approaches. In addition, investigation of genes targeted by these miRNAs could fill our gaps in our understanding of AIS pathogenesis and reveal new actionable targets.

Dataset Information

Reliability Analysis of the Distal Radius and Ulna Classification for Assessing Skeletal Maturity for Patients with Adolescent Idiopathic Scoliosis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets