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Accuracy of pulse oximeters at low oxygen saturations in children with congenital cyanotic heart disease: An observational study
Author(s) -
Kim EunHee,
Lee JiHyun,
Song InKyung,
Kim HeeSoo,
Jang YoungEun,
Yoo Seokha,
Kim JinTae
Publication year - 2019
Publication title -
pediatric anesthesia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.704
H-Index - 82
eISSN - 1460-9592
pISSN - 1155-5645
DOI - 10.1111/pan.13642
Subject(s) - medicine , observational study , heart disease , pulse oximetry , pediatrics , cardiology , anesthesia
Background Pulse oximetry overestimates arterial oxygen saturation (SaO 2 ) at less than 90% saturation in cyanotic children. The Masimo Blue sensor (Masimo Corp., Irvine, CA) is a pulse oximetry sensor developed for use in children with cyanosis. However, there remains a lack of research in actual clinical practice. Aims We evaluated the intraoperative performance of three different pulse oximeters to measure oxyhemoglobin saturation (SpO 2 ) at low saturations in pediatric patients with cyanotic heart disease and the influence of clinical variables (SaO 2 , hemoglobin concentration, perfusion index, and weight) on the accuracy of the sensors. Methods This prospective observational study compared SpO 2 measured using three pulse oximeters (Masimo Blue [Masimo Corp., Irvine, CA]; Masimo LNCS, and Nellcor [Medtronic, Dublin, Ireland]) at selected SaO 2 ranges (≥85%, 75%‐84%, 60%‐74%, and < 60%). Accuracy was evaluated according to bias and Bland‐Altman analysis with appropriate correction for multiple measurements. Relationships between bias and clinical variables were assessed using a generalized estimating equation. Results Two hundred and fifty‐eight samples were analyzed. The mean overall bias (limits of agreement) of Masimo Blue, Masimo LNCS, and Nellcor sensor was −5.3 (−20.9 to 10.3%), −7.4 (−21.9 to 7.1%), and −7.4 (−22.5 to 15.1%), respectively. However, there was no difference in bias among the three sensors at SaO 2 <60%. Generalized estimating equation showed that SaO 2 value was associated with bias of all sensors. Perfusion index affected the bias of Blue sensor and LNCS sensor, and patients' weight was associated with bias of Nellcor sensor. Conclusion Masimo blue sensor demonstrated overall lower bias compared to the other two sensors. However, the accuracy of all sensors was similarly poor at SaO 2 less than 60%. Bias was influenced by SaO 2 , perfusion index, and body weight.