OBJECTIVE: In 2006 the apnea of prematurity (AOP) consensus group identified inaccurate counting of apnea episodes as a major barrier to progress in AOP research. We compare nursing records of AOP to events detected by a clinically validated computer algorithm that detects apnea from standard bedside monitors. STUDY DESIGN: Waveform, vital sign, and alarm data were collected continuously from all very low-birth-weight infants admitted over a 25-month period, analyzed for central apnea, bradycardia, and desaturation (ABD) events, and compared with nursing documentation collected from charts. Our algorithm defined apnea as > 10 seconds if accompanied by bradycardia and desaturation. RESULTS: Of the 3,019 nurse-recorded events, only 68% had any algorithm-detected ABD event. Of the 5,275 algorithm-detected prolonged apnea events > 30 seconds, only 26% had nurse-recorded documentation within 1 hour. Monitor alarms sounded in only 74% of events of algorithm-detected prolonged apnea events > 10 seconds. There were 8,190,418 monitor alarms of any description throughout the neonatal intensive care unit during the 747 days analyzed, or one alarm every 2 to 3 minutes per nurse. CONCLUSION: An automated computer algorithm for continuous ABD quantitation is a far more reliable tool than the medical record to address the important research questions identified by the 2006 AOP consensus group. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.
OBJECTIVE: In 2006 the apnea of prematurity (AOP) consensus group identified inaccurate counting of apnea episodes as a major barrier to progress in AOP research. We compare nursing records of AOP to events detected by a clinically validated computer algorithm that detects apnea from standard bedside monitors. STUDY DESIGN: Waveform, vital sign, and alarm data were collected continuously from all very low-birth-weight infants admitted over a 25-month period, analyzed for central apnea, bradycardia, and desaturation (ABD) events, and compared with nursing documentation collected from charts. Our algorithm defined apnea as > 10 seconds if accompanied by bradycardia and desaturation. RESULTS: Of the 3,019 nurse-recorded events, only 68% had any algorithm-detected ABD event. Of the 5,275 algorithm-detected prolonged apnea events > 30 seconds, only 26% had nurse-recorded documentation within 1 hour. Monitor alarms sounded in only 74% of events of algorithm-detected prolonged apnea events > 10 seconds. There were 8,190,418 monitor alarms of any description throughout the neonatal intensive care unit during the 747 days analyzed, or one alarm every 2 to 3 minutes per nurse. CONCLUSION: An automated computer algorithm for continuous ABD quantitation is a far more reliable tool than the medical record to address the important research questions identified by the 2006 AOP consensus group. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.
Authors: D P Southall; G A Levitt; J M Richards; R A Jones; C Kong; P A Farndon; J R Alexander; A J Wilson Journal: Pediatrics Date: 1983-10 Impact factor: 7.124
Authors: Matthew T Clark; John B Delos; Douglas E Lake; Hoshik Lee; Karen D Fairchild; John Kattwinkel; J Randall Moorman Journal: Physiol Meas Date: 2016-03-10 Impact factor: 2.833
Authors: Mary A Mohr; Brooke D Vergales; Hoshik Lee; Matthew T Clark; Douglas E Lake; Anne C Mennen; John Kattwinkel; Robert A Sinkin; J Randall Moorman; Karen D Fairchild; John B Delos Journal: J Appl Physiol (1985) Date: 2014-12-30
Authors: Matthieu Doyen; Alfredo I Hernández; Cyril Flamant; Antoine Defontaine; Géraldine Favrais; Miguel Altuve; Bruno Laviolle; Alain Beuchée; Guy Carrault; Patrick Pladys Journal: Sci Rep Date: 2021-05-18 Impact factor: 4.379