To determine the major risk factors for unplanned reoperations (UROs) following corrective surgery for adult spinal deformity (ASD) and their interactions, using machine learning-based prediction algorithms and game theory. Patients who underwent surgery for ASD, with a minimum of two-year follow-up, were retrospectively reviewed. In total, 210 patients were included and randomly allocated into training (70% of the sample size) and test (the remaining 30%) sets to develop the machine learning algorithm. Risk factors were included in the analysis, along with clinical characteristics and parameters acquired through diagnostic radiology.Aims
Methods
The primary aim of this study was to evaluate the performance
and safety of magnetically controlled growth rods in the treatment
of early onset scoliosis. Secondary aims were to evaluate the clinical
outcome, the rate of further surgery, the rate of complications,
and the durability of correction. We undertook an observational prospective cohort study of children
with early onset scoliosis, who were recruited over a one-year period
and followed up for a minimum of two years. Magnetically controlled
rods were introduced in a standardized manner with distractions
performed three-monthly thereafter. Adverse events which were both related
and unrelated to the device were recorded. Ten children, for whom
relevant key data points (such as demographic information, growth
parameters, Cobb angles, and functional outcomes) were available,
were recruited and followed up over the period of the study. There
were five boys and five girls. Their mean age was 6.2 years (2.5
to 10).Aims
Patients and Methods
