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Objective <p>To validate a novel Bayesian prediction algorithm (IVCO2 index) to calculate the probability of CO<sub>2</sub> retention in neonates using existing medical device outputs.</p> Study design <p>A retrospective validation study from two level IV NICUs between September 2021 and May 2023. The algorithm calculated probabilities of PaCO<sub>2</sub> exceeding 50 mmHg (IVCO2_50) and 60 mmHg (IVCO2_60) using multimodal physiologic data. Performance was assessed through ROC analysis, range utilization, and resolution/limitation analysis.</p> Results <p>Among 180 included neonates, 1092 arterial blood gas measurements were analyzed. IVCO2_50 and IVCO2_60 demonstrated excellent discriminatory performance (AUC 0.87, 95% CI 0.85–0.89 and AUC 0.90, 95% CI 0.68–0.93, respectively). The risk of elevated PaCO<sub>2</sub> scaled linearly with increasing index quartiles. Minimum scores (&lt;1) showed &gt;6-fold reduction in hypercapnia risk, while maximum scores (&gt;99) demonstrated &gt;3-fold reduction in normocapnia risk.</p> Conclusion <p>The IVCO2 index accurately predicts CO<sub>2</sub> retention in neonates, offering potential for early detection of ventilation inadequacy without additional invasive monitoring.</p>

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Validation of a novel Bayesian predictive algorithm for detection of carbon dioxide retention using retrospective neonatal ICU data

  • 期刊论文

  • 发表日期：

    2025年7月23日

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  • Luke T. Viehl,
  • Jeffrey L. Segar,
  • Zachary A. Vesoulis

摘要

Objective

To validate a novel Bayesian prediction algorithm (IVCO2 index) to calculate the probability of CO2 retention in neonates using existing medical device outputs.

Study design

A retrospective validation study from two level IV NICUs between September 2021 and May 2023. The algorithm calculated probabilities of PaCO2 exceeding 50 mmHg (IVCO2_50) and 60 mmHg (IVCO2_60) using multimodal physiologic data. Performance was assessed through ROC analysis, range utilization, and resolution/limitation analysis.

Results

Among 180 included neonates, 1092 arterial blood gas measurements were analyzed. IVCO2_50 and IVCO2_60 demonstrated excellent discriminatory performance (AUC 0.87, 95% CI 0.85–0.89 and AUC 0.90, 95% CI 0.68–0.93, respectively). The risk of elevated PaCO2 scaled linearly with increasing index quartiles. Minimum scores (<1) showed >6-fold reduction in hypercapnia risk, while maximum scores (>99) demonstrated >3-fold reduction in normocapnia risk.

Conclusion

The IVCO2 index accurately predicts CO2 retention in neonates, offering potential for early detection of ventilation inadequacy without additional invasive monitoring.