Predicting Treatment Effects of Orthostatic Training in Children with Vasovagal Syncope
Author Information
Author(s): Du Xiaojuan, Liu Ping, Xiang Dandan, Zhang Chunyu, Du Junbao, Jin Hongfang, Liao Ying
Primary Institution: Peking University First Hospital
Hypothesis
Can heart rate variability parameters predict the treatment efficacy of orthostatic training in pediatric vasovagal syncope?
Conclusion
Pediatric patients with vasovagal syncope can benefit from orthostatic training using a visual predictive model based on age and rMSSD.
Supporting Evidence
- Age and rMSSD were identified as predictors of treatment effectiveness.
- The visual predictive model showed good calibration and predictive performance.
- Orthostatic training was effective in 47.9% of the training dataset and 52.2% of the validation dataset.
Takeaway
This study helps doctors figure out if kids with fainting spells will get better with a specific training by looking at their heart data.
Methodology
The study used lasso and logistic regression to analyze heart rate variability data from children with vasovagal syncope who underwent orthostatic training.
Potential Biases
Potential selection bias due to the single-center design and retrospective nature.
Limitations
The study is retrospective, has a small sample size, and may have selection bias.
Participant Demographics
119 participants, median age 12 years, 60 males and 59 females.
Statistical Information
P-Value
0.023 for age, 0.001 for rMSSD
Confidence Interval
95% CI, 0.71–0.91 for training dataset; 95% CI, 0.66–0.93 for validation dataset
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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