About: OBJECTIVE: To determine whether ventilator-related fluctuations in cerebral blood volume (CBV) are associated with cerebral pressure passivity. STUDY DESIGN: In a prospective study of newborns undergoing positive-pressure ventilation, we calculated coherence between continuous mean arterial pressure (MAP) and cerebral near-infrared spectroscopy hemoglobin difference (HbD). Significant HbD–MAP coherence indicated cerebral pressure passivity. CBV changes were measured as the spectral power of total hemoglobin (S(HbT)) at the ventilator frequency. A regression model tested whether S(HbT) predicts cerebral pressure passivity and/or death/brain injury, controlling for birth gestational age and other factors. RESULTS: We studied 68 subjects with prematurity (n = 19), congenital heart disease (n = 11), and hypoxic–ischemic encephalopathy (n = 38). S(HbT), sedative use, and pCO(2) were positively associated, and circulating hemoglobin negatively associated, with cerebral pressure passivity (p < 0.001), which was positively associated with brain injury (p < 0.001). CONCLUSION: In sick newborns, ventilator-related CBV fluctuations may predispose to cerebral pressure passivity, which may predispose to an adverse neonatal outcome.

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About: OBJECTIVE: To determine whether ventilator-related fluctuations in cerebral blood volume (CBV) are associated with cerebral pressure passivity. STUDY DESIGN: In a prospective study of newborns undergoing positive-pressure ventilation, we calculated coherence between continuous mean arterial pressure (MAP) and cerebral near-infrared spectroscopy hemoglobin difference (HbD). Significant HbD–MAP coherence indicated cerebral pressure passivity. CBV changes were measured as the spectral power of total hemoglobin (S(HbT)) at the ventilator frequency. A regression model tested whether S(HbT) predicts cerebral pressure passivity and/or death/brain injury, controlling for birth gestational age and other factors. RESULTS: We studied 68 subjects with prematurity (n = 19), congenital heart disease (n = 11), and hypoxic–ischemic encephalopathy (n = 38). S(HbT), sedative use, and pCO(2) were positively associated, and circulating hemoglobin negatively associated, with cerebral pressure passivity (p < 0.001), which was positively associated with brain injury (p < 0.001). CONCLUSION: In sick newborns, ventilator-related CBV fluctuations may predispose to cerebral pressure passivity, which may predispose to an adverse neonatal outcome. Goto Sponge NotDistinct Permalink

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type	abstract
value	OBJECTIVE: To determine whether ventilator-related fluctuations in cerebral blood volume (CBV) are associated with cerebral pressure passivity. STUDY DESIGN: In a prospective study of newborns undergoing positive-pressure ventilation, we calculated coherence between continuous mean arterial pressure (MAP) and cerebral near-infrared spectroscopy hemoglobin difference (HbD). Significant HbD–MAP coherence indicated cerebral pressure passivity. CBV changes were measured as the spectral power of total hemoglobin (S(HbT)) at the ventilator frequency. A regression model tested whether S(HbT) predicts cerebral pressure passivity and/or death/brain injury, controlling for birth gestational age and other factors. RESULTS: We studied 68 subjects with prematurity (n = 19), congenital heart disease (n = 11), and hypoxic–ischemic encephalopathy (n = 38). S(HbT), sedative use, and pCO(2) were positively associated, and circulating hemoglobin negatively associated, with cerebral pressure passivity (p < 0.001), which was positively associated with brain injury (p < 0.001). CONCLUSION: In sick newborns, ventilator-related CBV fluctuations may predispose to cerebral pressure passivity, which may predispose to an adverse neonatal outcome.
subject	Midwifery Cardiovascular physiology Respiratory therapy Hemoglobins Diagnostic intensive care medicine
part of	Cerebral venous volume changes and pressure autoregulation in critically ill infants
is abstract of	Cerebral venous volume changes and pressure autoregulation in critically ill infants
is hasSource of	covid:ann/target/7dcefb9f23705415ca98ae867ef5edb7ec0cc46a covid:ann/target/7f019106e7fc8201cb78ae4e05426dc45cd7e048 covid:ann/target/95c57e86ff3d3b6e00982cbc83e77910fc1ca58c covid:ann/target/966a4d5482d31eb2286f7c444a412e174325bdd8 covid:ann/target/91a349c349ebc9da181b51c5e33543317ba6e252 »more»

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