Algorithms that eliminate the effects of calibration artefact and trial-imposed offsets of Masimo oximeter in BOOST-NZ trial.
The displayed readings of Masimo pulse oximeters used in the Benefits Of Oxygen Saturation Targeting (BOOST) II and related trials in very preterm babies were influenced by trial-imposed offsets and an artefact in the calibration software. A study was undertaken to implement new algorithms that eliminate the effects of offsets and artefact. In the BOOST-New Zealand trial, oxygen saturations were averaged and stored every 10 s up to 36 weeks' post-menstrual age. Two-hundred and fifty-seven of 340 babies enrolled in the trial had at least two weeks of stored data. Oxygen saturation distribution patterns corresponding with a +3 % or -3 % offset in the 85-95 % range were identified together with that due to the calibration artefact. Algorithms involving linear and quadratic interpolations were developed, implemented on each baby of the dataset and validated using the data of a UK preterm baby, as recorded from Masimo oximeters with the original software and a non-offset Siemens oximeter. Saturation distributions obtained were compared for both groups. There were a flat region at saturations 85-87 % and a peak at 96 % from the lower saturation target oximeters, and at 93-95 and 84 % respectively from the higher saturation target oximeters. The algorithms lowered the peaks and redistributed the accumulated frequencies to the flat regions and artefact at 87-90 %. The resulting distributions were very close to those obtained from the Siemens oximeter. The artefact and offsets of the Masimo oximeter's software had been addressed to determine the true saturation readings through the use of novel algorithms. The implementation would enable New Zealand data be included in the meta-analysis of BOOST II trials, and be used in neonatal oxygen studies.
School of Mathematics and Statistics, College of Engineering, University of Canterbury, Christchurch, New Zealand. zmarina@ukm.edu.my.|School of Mathematical Sciences, Faculty of Science and Technology, The National University of Malaysia, 43600, Bandar Baru Bangi, Malaysia. zmarina@ukm.edu.my.
Marina
M
Zahari
School of Mathematics and Statistics, College of Engineering, University of Canterbury, Christchurch, New Zealand.
Dominic Savio
DS
Lee
Department of Pediatrics, Christchurch School of Medicine and Health Sciences, University of Otago, Christchurch, New Zealand.
Brian Alexander
BA
Darlow
D000465:Algorithms; D016477:Artifacts; D002138:Calibration; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D007234:Infant, Premature; D016014:Linear Models; D008297:Male; D009520:New Zealand; D010092:Oximetry / Q000379:methods*; D010100:Oxygen / Q000378:metabolism; D015203:Reproducibility of Results; D012178:Retinopathy of Prematurity / Q000378:metabolism*; D012984:Software
D010100:Oxygen
Oximeter; Oxygen saturation; Oxygen therapy; Preterm infants; Retinopathy of prematurity