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September 5, 2026Journal of Pediatric Intensive Care

The Effect of Physiologic Parameters and Vasoactive Agents on Venous Resistance, Mean Circulatory Filling Pressure, and Venous Return: Multivariable Modeling Using High-Fidelity Physiologic Data and Machine Learning

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Authors

RLRohit S. LoombaJFJuan FaríasEVEnrique Villarreal

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Overview

Observational study reveals significant associations between vasoactive drugs and venous hemodynamics in post-Norwood infants, highlighting targets to optimize single-ventricle circulation.

Key Points

  • Characterize theoretical venous hemodynamic parameters—including mean circulatory filling pressure, venous resistance, and venous return—and quantify their associations with vasoactive agents and physiologic variables in pediatric patients following the Norwood operation.
  • Extracted continuous hemodynamic monitoring data captured at five-second intervals via the T3 system in children with single ventricle physiology after the Norwood operation.
  • Calculated mean circulatory filling pressure, venous resistance, and venous return using validated mathematical equations.
  • Trained Bayesian ridge machine learning algorithms across 27,270 physiologic data points to model interactions between venous parameters, physiologic indicators, and vasoactive drugs.
  • Across 27,270 analyzed data points, patients demonstrated a mean circulatory filling pressure of approximately 12.3 mmHg, an average venous resistance of approximately 4.8 Wood units, and an average venous return of approximately 1.9 L/min.
  • Multivariable Bayesian ridge modeling identified statistically significant associations between vasoactive medication administration, core physiologic metrics, and all calculated venous hemodynamic parameters.

Cite This Study

Loomba et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4346b95aff0620ebb41https://doi.org/10.53391/2146-4618.1080
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