Newly Published
Perioperative Medicine  |   October 2017
Incidence of Artifacts and Deviating Values in Research Data Obtained from an Anesthesia Information Management System in Children
Author Notes
  • From the Department of Anesthesia, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Submitted for publication January 30, 2017. Accepted for publication August 24, 2017.
    Submitted for publication January 30, 2017. Accepted for publication August 24, 2017.×
  • Part of this study has been presented as an oral presentation at the congress of the European Society for Pediatric Anesthesiology during the session “Top 10 Best Oral Papers Session for ESPA Prize 2016,” September 30, 2016, Crowne Plaza Hotel, Belgrade, Serbia.
    Part of this study has been presented as an oral presentation at the congress of the European Society for Pediatric Anesthesiology during the session “Top 10 Best Oral Papers Session for ESPA Prize 2016,” September 30, 2016, Crowne Plaza Hotel, Belgrade, Serbia.×
  • Research Support: Support was provided solely from institutional and/or departmental sources.
    Research Support: Support was provided solely from institutional and/or departmental sources.×
  • Competing Interests: The authors declare no competing interests.
    Competing Interests: The authors declare no competing interests.×
  • Correspondence: Address correspondence to Dr. de Graaff: Wilhelmina Children’s Hospital, University Medical Center Utrecht, Post Office Box 85500, 3508 GA Utrecht, The Netherlands. j.degraaff@erasmusmc.nl. Information on purchasing reprints may be found at www.anesthesiology.org or on the masthead page at the beginning of this issue. Anesthesiology’s articles are made freely accessible to all readers, for personal use only, 6 months from the cover date of the issue.
Article Information
Perioperative Medicine / Pediatric Anesthesia / Technology / Equipment / Monitoring
Perioperative Medicine   |   October 2017
Incidence of Artifacts and Deviating Values in Research Data Obtained from an Anesthesia Information Management System in Children
Anesthesiology Newly Published on October 5, 2017. doi:10.1097/ALN.0000000000001895
Anesthesiology Newly Published on October 5, 2017. doi:10.1097/ALN.0000000000001895
Abstract

Background: Vital parameter data collected in anesthesia information management systems are often used for clinical research. The validity of this type of research is dependent on the number of artifacts.

Methods: In this prospective observational cohort study, the incidence of artifacts in anesthesia information management system data was investigated in children undergoing anesthesia for noncardiac procedures. Secondary outcomes included the incidence of artifacts among deviating and nondeviating values, among the anesthesia phases, and among different anesthetic techniques.

Results: We included 136 anesthetics representing 10,236 min of anesthesia time. The incidence of artifacts was 0.5% for heart rate (95% CI: 0.4 to 0.7%), 1.3% for oxygen saturation (1.1 to 1.5%), 7.5% for end-tidal carbon dioxide (6.9 to 8.0%), 5.0% for noninvasive blood pressure (4.0 to 6.0%), and 7.3% for invasive blood pressure (5.9 to 8.8%). The incidence of artifacts among deviating values was 3.1% for heart rate (2.1 to 4.4%), 10.8% for oxygen saturation (7.6 to 14.8%), 14.1% for end-tidal carbon dioxide (13.0 to 15.2%), 14.4% for noninvasive blood pressure (10.3 to 19.4%), and 38.4% for invasive blood pressure (30.3 to 47.1%).

Conclusions: Not all values in anesthesia information management systems are valid. The incidence of artifacts stored in the present pediatric anesthesia practice was low for heart rate and oxygen saturation, whereas noninvasive and invasive blood pressure and end-tidal carbon dioxide had higher artifact incidences. Deviating values are more often artifacts than values in a normal range, and artifacts are associated with the phase of anesthesia and anesthetic technique. Development of (automatic) data validation systems or solutions to deal with artifacts in data is warranted.