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A validated composite model to predict risk of curve progression in adolescent idiopathic scoliosis.
Zhang, Jiajun; Cheuk, Ka-Yee; Xu, Leilei; Wang, Yujia; Feng, Zhenhua; Sit, Tony; Cheng, Ka-Lo; Nepotchatykh, Evguenia; Lam, Tsz-Ping; Liu, Zhen; Hung, Alec L H; Zhu, Zezhang; Moreau, Alain; Cheng, Jack C Y; Qiu, Yong; Lee, Wayne Y W.
Afiliação
  • Zhang J; Department of Orthopaedics and Traumatology, SH Ho Scoliosis Research Laboratory, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Cheuk KY; Joint Scoliosis Research Centre of the Chinese University of Hong Kong and Nanjing University, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Xu L; Department of Orthopaedics and Traumatology, SH Ho Scoliosis Research Laboratory, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Wang Y; Joint Scoliosis Research Centre of the Chinese University of Hong Kong and Nanjing University, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Feng Z; Joint Scoliosis Research Centre of the Chinese University of Hong Kong and Nanjing University, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Sit T; Spine Surgery, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Cheng KL; Department of Orthopaedics and Traumatology, SH Ho Scoliosis Research Laboratory, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Nepotchatykh E; Joint Scoliosis Research Centre of the Chinese University of Hong Kong and Nanjing University, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Lam TP; Joint Scoliosis Research Centre of the Chinese University of Hong Kong and Nanjing University, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Liu Z; Spine Surgery, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Hung ALH; Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Zhu Z; Department of Orthopaedics and Traumatology, SH Ho Scoliosis Research Laboratory, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Moreau A; Joint Scoliosis Research Centre of the Chinese University of Hong Kong and Nanjing University, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Cheng JCY; Viscogliosi Laboratory in Molecular Genetics of Musculoskeletal Diseases, Sainte-Justine University Hospital Research Center, Montreal, QC, Canada.
  • Qiu Y; Department of Orthopaedics and Traumatology, SH Ho Scoliosis Research Laboratory, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
  • Lee WYW; Joint Scoliosis Research Centre of the Chinese University of Hong Kong and Nanjing University, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
EClinicalMedicine ; 18: 100236, 2020 Jan.
Article em En | MEDLINE | ID: mdl-31922123
ABSTRACT

BACKGROUND:

In adolescent idiopathic scoliosis (AIS), the continuous search for effective prognostication of significant curve progression at the initial clinical consultation to inform decision for timely treatment and to avoid unnecessary overtreatment remains a big challenge as evidence of the multifactorial etiopathogenic nature is increasingly reported. This study aimed to formulate a composite model composed of clinical parameters and circulating markers in the prediction of curve progression.

METHOD:

This is a two-phase study consisting of an exploration cohort (120 AIS, mean Cobb angle of 25°± 8.5 at their first clinical visit) and a validation cohort (51 AIS, mean Cobb angle of 23° ± 5.0° at the first visit). Patients with AIS were followed-up for a minimum of six years to formulate a composite model for prediction. At the first visit, clinical parameters were collected from routine clinical practice, and circulating markers were assayed from blood.

FINDING:

We constructed the composite predictive model for curve progression to severe Cobb angle > 40° with a high HR of 27.9 (95% CI of 6.55 to 119.16). The area under curve of the composite model is higher than that of individual parameters used in current clinical practice. The model was validated by an independent cohort and achieved a sensitivity of 72.7% and a specificity of 90%.

INTERPRETATION:

This is the first study proposing and validating a prognostic composite model consisting of clinical and circulating parameters which could quantitatively evaluate the probability of curve progression to a severe curvature in AIS at the initial consultation. Further validation in clinic will facilitate application of composite model in assisting objective clinical decision.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: EClinicalMedicine Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: EClinicalMedicine Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China