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ASA Prediction Using Health Data and Medication Use

NCT06629350 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 149422

Last updated 2025-05-18

No results posted yet for this study

Summary

The development of a machine learning algorithm that predicts American Society of Anesthesiologist-Physical Status (ASA-PS) based on preoperative variables would not only improve clinical decision-making in patient risk stratification but also offer a more reliable tool for administrative and regulatory uses. Therefore, the development of such a machine learning tool presents a significant opportunity to advance both the science and practice of perioperative care. Incorporating medication use into the algorithm could further enhance its predictive power, as it is closely linked to systemic disease. This addition could help refine the ASA-PS classification, making it an even more valuable tool in the clinical setting.

Conditions

  • ASA-PS Classification

Sponsors & Collaborators

Principal Investigators

  • Jan-Wiebe Korstanje, MD MSc PhD · Erasmus Medical Center

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-25
Primary Completion
2024-06-27
Completion
2024-06-27

Countries

  • Netherlands

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06629350 on ClinicalTrials.gov