1998
DOI: 10.1161/01.cir.98.14.1407
|View full text |Cite
|
Sign up to set email alerts
|

Estimation of Oxygen Delivery in Newborns With a Univentricular Circulation

Abstract: Background-The management of neonates with complex congenital anomalies depends on careful interpretation of arterial blood gas values. Improved interpretation of these oxygen parameters may allow clinicians to avoid unexpected cardiovascular events. This study examined whether systemic oxygen delivery (DO 2 ) can be maximized by the use of indices derived from oxygen saturation measurements in neonates with hypoplastic left heart syndrome. Methods and Results-For the single-ventricle heart with both circulati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

2
82
0
2

Year Published

1999
1999
2016
2016

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 121 publications
(86 citation statements)
references
References 16 publications
2
82
0
2
Order By: Relevance
“…1,2,6,7 Bedside estimation of Q p:Q s from SaO 2 alone has been advocated on the basis of 2 untested assumptions: constant systemic ⌬A-V O 2 and normal SpvO 2 (Ն95%). This study demonstrates that SaO 2 is a poor predictor of Q p:Q s after Norwood palliation; SaO 2 alone predicted only 8% of the variability in Q p:Q s. Inaccuracy in Q p:Q s estimation was caused by variability in both SmvO 2 and SpvO 2 , thus challenging the dual assumptions used by clinicians for rapid bedside assessment of Q p:Q s. Although others have demonstrated variability in SmvO 2 after Norwood palliation, 3,8 this is the first study to demonstrate that PV desaturation is also common.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…1,2,6,7 Bedside estimation of Q p:Q s from SaO 2 alone has been advocated on the basis of 2 untested assumptions: constant systemic ⌬A-V O 2 and normal SpvO 2 (Ն95%). This study demonstrates that SaO 2 is a poor predictor of Q p:Q s after Norwood palliation; SaO 2 alone predicted only 8% of the variability in Q p:Q s. Inaccuracy in Q p:Q s estimation was caused by variability in both SmvO 2 and SpvO 2 , thus challenging the dual assumptions used by clinicians for rapid bedside assessment of Q p:Q s. Although others have demonstrated variability in SmvO 2 after Norwood palliation, 3,8 this is the first study to demonstrate that PV desaturation is also common.…”
Section: Discussionmentioning
confidence: 99%
“…Our observations ( Figure 4B) provide clinical evidence to substantiate the computer modeling predictions of Barnea and colleagues. 6,7 If PV blood is assumed to be fully saturated (Ն95%), the error in Q p:Q s estimation can be substantial if true SpvO 2 falls below 95%. Q p:Q s is underestimated by 20% to 25% when SpvO 2 is 90%, and the underestimation error is as large as 30% to 70% if SpvO 2 falls below 90%.…”
Section: Discussionmentioning
confidence: 99%
“…Theoretical studies 5,6 have considered the effects of different Qp/Qs ratios with the aim of forming an analytical basis for the clinical manipulations. However, the standard mathematical model has persistently yielded target Qp/Qs ratios of Ͻ1.…”
mentioning
confidence: 99%
“…[1][2][3][4][5][6][7][8][9][10] However, outside of research investigations, cardiac output is measured infrequently.…”
Section: Discussionmentioning
confidence: 99%
“…[1][2][3][4] Low cardiac output syndrome adversely affects the outcomes of critically ill children on the intensive care unit. [5][6][7][8][9][10] Cardiac output may be calculated by using the Fick equation if VȮ 2 , hemoglobin level, and the arterial-venous oxygen difference are known.…”
mentioning
confidence: 99%