Peter A Johnson1, Po-Yin Cheung1, Tze-Fun Lee1, Megan O'Reilly1, Georg M Schmölzer2. 1. Centre for the Studies of Asphyxia and Resuscitation, Neonatal Research Unit, Royal Alexandra Hospital, Edmonton, Alberta, Canada; Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada. 2. Centre for the Studies of Asphyxia and Resuscitation, Neonatal Research Unit, Royal Alexandra Hospital, Edmonton, Alberta, Canada; Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada. Electronic address: georg.schmoelzer@me.com.
Abstract
BACKGROUND: 6.5-9 million newborns worldwide require resuscitation at birth annually. During neonatal resuscitation, inaccurate or slow heart rate (HR) assessments may significantly increase risk of infant mortality or morbidity. Therefore fast, accurate, and effective HR assessment tools are critical for neonatal resuscitation. OBJECTIVE: To systematically review the literature about accuracy, latency, and efficacy of technologies for HR assessment during neonatal resuscitation. METHODS: Adhering to PRISMA guidelines, PubMed, EMBASE, and Google Scholar databases were systematically searched to identify studies related to technologies for HR assessment, which could be used to guide neonatal resuscitation. RESULTS: Forty-six studies evaluating HR assessment technologies for neonatal resuscitation were identified. In total, 16 studies (3/16 randomized trials and 13/16 observational studies) compared two or more HR assessment technologies to measure accuracy, latency, and efficacy. Of the trials, 1/3 had a low risk of bias while 2/3 had high risks. All observational studies had high risks of bias. Most studies considered infants not requiring resuscitation, constituting indirect evidence and lower certainty in the context of neonatal resuscitation. Two trials reported faster times to HR assessment using electrocardiogram with a mean(SD) 66(20) versus 114(39) s and a median(IQR) 24(19-39) versus 48(36-69) s (both p < 0.001), compared to pulse oximetry. CONCLUSION: While electrocardiography is faster to assess HR at birth and more reliable to detect HR changes compared to other recommended technologies, practice should not exclusively rely on ECG. While novel technologies could support HR assessment, no studies validate their clinical efficacy during neonatal resuscitation.
BACKGROUND: 6.5-9 million newborns worldwide require resuscitation at birth annually. During neonatal resuscitation, inaccurate or slow heart rate (HR) assessments may significantly increase risk of infant mortality or morbidity. Therefore fast, accurate, and effective HR assessment tools are critical for neonatal resuscitation. OBJECTIVE: To systematically review the literature about accuracy, latency, and efficacy of technologies for HR assessment during neonatal resuscitation. METHODS: Adhering to PRISMA guidelines, PubMed, EMBASE, and Google Scholar databases were systematically searched to identify studies related to technologies for HR assessment, which could be used to guide neonatal resuscitation. RESULTS: Forty-six studies evaluating HR assessment technologies for neonatal resuscitation were identified. In total, 16 studies (3/16 randomized trials and 13/16 observational studies) compared two or more HR assessment technologies to measure accuracy, latency, and efficacy. Of the trials, 1/3 had a low risk of bias while 2/3 had high risks. All observational studies had high risks of bias. Most studies considered infants not requiring resuscitation, constituting indirect evidence and lower certainty in the context of neonatal resuscitation. Two trials reported faster times to HR assessment using electrocardiogram with a mean(SD) 66(20) versus 114(39) s and a median(IQR) 24(19-39) versus 48(36-69) s (both p < 0.001), compared to pulse oximetry. CONCLUSION: While electrocardiography is faster to assess HR at birth and more reliable to detect HR changes compared to other recommended technologies, practice should not exclusively rely on ECG. While novel technologies could support HR assessment, no studies validate their clinical efficacy during neonatal resuscitation.
Authors: John Madar; Charles C Roehr; Sean Ainsworth; Hege Ersda; Colin Morley; Mario Rüdiger; Christiane Skåre; Tomasz Szczapa; Arjan Te Pas; Daniele Trevisanuto; Berndt Urlesberger; Dominic Wilkinson; Jonathan P Wyllie Journal: Notf Rett Med Date: 2021-06-02 Impact factor: 0.892
Authors: Peter A Johnson; Nicolò Morina; Megan O'Reilly; Tze-Fun Lee; Po-Yin Cheung; Georg M Schmölzer Journal: Front Pediatr Date: 2019-11-05 Impact factor: 3.418
Authors: Nicolò Morina; Peter A Johnson; Megan O'Reilly; Tze-Fun Lee; Maryna Yaskina; Po-Yin Cheung; Georg M Schmölzer Journal: Front Pediatr Date: 2020-01-31 Impact factor: 3.418