• Medicina · Apr 2020

    Pediatric Scoliosis Surgery-A Comprehensive Analysis of Treatment-Specific Variables and Trends in Latvia.

    • Julian M Rüwald, Janis Upenieks, Janis Ositis, Alexander Pycha, Yuval Avidan, Anna L Rüwald, Robin L Eymael, and Frank A Schildberg.
    • Clinic for Orthopedics and Trauma Surgery, University Hospital Bonn, 53127 Bonn, Germany.
    • Medicina (Kaunas). 2020 Apr 24; 56 (4).

    AbstractBackground and Objectives: There are currently no data available regarding pediatric scoliosis surgery in Latvia. The aim of this article is to present treatment specific variables, investigate their interrelation, and identify predictors for the length of stay after surgical pediatric scoliosis correction. Materials and Methods: This retrospective study included all surgical pediatric scoliosis corrections in Latvia for the years 2012 to 2016. Analyzed parameters were chosen to portray the patients' demographics, pathology, as well as treatment specific variables. Descriptive, inferential, and linear regression statistics were calculated. Results: A total of 69 cases, 74% female and 26% male, were identified. The diagnostic subgroups consisted of 62% idiopathic (IDI) and 38% non-idiopathic (non-IDI) scoliosis cases. Non-IDI cases had significantly increased operation time, hospital stay, Cobb angle before surgery, and instrumented levels, while IDI cases showed significantly higher Cobb angle percentage correction. For all operated cases, the operation time and the hospital stay decreased significantly over the investigated time period. Early post-operative complications (PCs) occurred in 15.9% of the cases and were associated with increased hospital stay, instrumented levels, and Cobb angle before surgery. The linear regression analysis revealed that operation time and the presence of PCs were significant predictors for the length of the hospital stay. Conclusions: This is the first study to provide comprehensive insight into pediatric scoliosis surgery since its establishment in Latvia. Our regression model offers clinically applicable predictors and further underlines the significance of the operation length on the hospital stay. These results build the foundation for international comparison and facilitate improvement in the field.

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