INTRAOPERATIVE PULSE OXIMETRY - FREQUENCY AND DISTRIBUTION OF DISCREPANT DATA

Citation
Ph. Pan et N. Gravenstein, INTRAOPERATIVE PULSE OXIMETRY - FREQUENCY AND DISTRIBUTION OF DISCREPANT DATA, Journal of clinical anesthesia, 6(6), 1994, pp. 491-495
Citations number
NO
Categorie Soggetti
Anesthesiology
ISSN journal
09528180
Volume
6
Issue
6
Year of publication
1994
Pages
491 - 495
Database
ISI
SICI code
0952-8180(1994)6:6<491:IPO-FA>2.0.ZU;2-Z
Abstract
Study Objective: To determine the types of discrepant data during intr aoperative pulse oximetry and their frequency and duration. Design: Pr ospective study. Setting: University medical center. Patients: 46 cons ecutive ASA physical status I-III patients undergoing general anesthes ia fm elective surgical operations. Measurements and Main Results: Wit h an integrated computer algorithm on the pulse oximeter and another c omputer linked to it, data were screened and the frequency and distrib ution of the following oximeter signals recorded: absent; low quality or interrupted, as detected by the pulse oximeter algorithm; nonphysio logic, identified by the personal computer as a heart rate change grea ter than 10 beats per minute within 2 consecutive 2-second samples, wi th no similar abrupt change reported simultaneously on ECG. The number of episodes per hour of discrepant oximeter data and the duration of the episodes were recorded by phase of anesthesia: induction, maintena nce, and emergence Discrepant data occurred most frequently and lasted longest during emergence (p < 0.05); the majority of episodes of disc repant data during emergence fasted less than 12 seconds. Excluding di screpant data that lasted less than 12 seconds decreased the frequency of discrepant data by 63% and excluding those that fasted less than 3 0 seconds decreased the frequency of discrepant data by 93%. Conclusio ns: Pulse oximeters frequently report discrepant data intraoperatively , most frequently during emergence from anesthesia. An alarm delay tri ggered by discrepant data and lasting 12 to 30 seconds would keep most discrepant data from becoming faire alarms and, thus, may reduce dist racting sound pollution in the operating room.