A Model Analysis of Arterial Oxygen Desaturation during Apnea in Preterm Infants
Author(s) -
Scott A. Sands,
Bradley A. Edwards,
Vanessa J. Kelly,
Malcolm R. Davidson,
Malcolm H. Wilkinson,
Philip J. Berger
Publication year - 2009
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1000588
Subject(s) - hypoxemia , hypovolemia , medicine , apnea , anesthesia , cardiology , arterial blood , oxygen–haemoglobin dissociation curve , blood volume , ventilation (architecture) , hemoglobin , mechanical engineering , engineering
Rapid arterial O 2 desaturation during apnea in the preterm infant has obvious clinical implications but to date no adequate explanation for why it exists. Understanding the factors influencing the rate of arterial O 2 desaturation during apnea ( ) is complicated by the non-linear O 2 dissociation curve, falling pulmonary O 2 uptake, and by the fact that O 2 desaturation is biphasic, exhibiting a rapid phase (stage 1) followed by a slower phase when severe desaturation develops (stage 2). Using a mathematical model incorporating pulmonary uptake dynamics, we found that elevated metabolic O 2 consumption acceleratesthroughout the entire desaturation process. By contrast, the remaining factors have a restricted temporal influence: low pre-apneic alveolarcauses an early onset of desaturation, but thereafter has little impact; reduced lung volume, hemoglobin content or cardiac output, acceleratesduring stage 1, and finally, total blood O 2 capacity (blood volume and hemoglobin content) alone determinesduring stage 2. Preterm infants with elevated metabolic rate, respiratory depression, low lung volume, impaired cardiac reserve, anemia, or hypovolemia, are at risk for rapid and profound apneic hypoxemia. Our insights provide a basic physiological framework that may guide clinical interpretation and design of interventions for preventing sudden apneic hypoxemia.
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