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This study developed and validated predictive models for late-onset sepsis (LOS) in very low birth weight infants using cardiorespiratory data from three NICUs. The models combined heart rate and oxygen saturation data, demonstrating improved sepsis risk prediction compared to models using heart rate or demographics alone. Results indicated that cardiorespiratory signatures effectively detect LOS, with demographic factors enhancing risk stratification but potentially dampening dynamic performance.

Author

davidkalivolo

Language

EN