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Lessons learned from big data (APRICOT, NECTARINE, PeDI)

Nicola Disma1, Walid Habre2, Francis Veyckemans3

  • 1Unit for Research in Anaesthesia, IRCCS Istituto Giannina Gaslini, Genova, Italy.

Best Practice & Research. Clinical Anaesthesiology
|October 24, 2024
PubMed

Insights

Big data in pediatric anesthesia enhances patient safety by identifying rare events and informing clinical guidelines. These large-scale analyses also help establish normative data and encourage data collection for improved anesthesia care.

Area of Science:

  • Pediatric Anesthesiology
  • Health Informatics
  • Clinical Research

Background:

  • Big data analytics offers unprecedented opportunities to evaluate patient outcomes in pediatric anesthesia.
  • Analysis of large datasets can identify rare critical events and their underlying causes, improving patient safety.
  • Establishing normative data for physiological parameters, such as blood pressure, across diverse pediatric populations is crucial.

Purpose of the Study:

  • To highlight the significance of big data in pediatric anesthesia for evaluating morbidity and mortality.
  • To demonstrate how big data facilitates the identification of rare critical events and informs clinical guidelines and education.
  • To emphasize the role of big data in establishing normative physiological data and encouraging departmental data collection and benchmarking.

Main Methods:

  • Utilizing large-scale datasets from pediatric anesthesia cases.
  • Analyzing data to identify trends, rare events, and correlations with patient outcomes.
  • Examining specific parameters like blood pressure under anesthesia across varied age and weight groups.

Main Results:

  • Big data enables comprehensive evaluation of anesthesia-related morbidity and mortality in children.
  • Identification of rare critical events and their causes is significantly enhanced.
  • The potential for establishing population-specific normative data is demonstrated, using blood pressure as an example.

Conclusions:

  • Big data in pediatric anesthesia is essential for improving patient safety, education, and clinical practice.
  • It drives the need for standardized data collection, benchmarking, and collaborative research networks.
  • The expansion of big data initiatives to low- and middle-income countries is crucial for global advancements in pediatric anesthesia.

Keywords:
AnaesthesiaBig dataChildrenEpidemiologyMorbidity

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