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Evaluation of Serum Lactate, Central Venous Saturation, and Venous-Arterial Carbon Dioxide Difference in the Prediction of Mortality in Postcardiac Arrest Syndrome.

Authors :
Riveiro DF
Oliveira VM
Braunner JS
Vieira SR
Source :
Journal of intensive care medicine [J Intensive Care Med] 2016 Sep; Vol. 31 (8), pp. 544-52. Date of Electronic Publication: 2015 Jun 24.
Publication Year :
2016

Abstract

Introduction: Tissue hypoperfusion and hypoxia markers predict mortality in critically ill patients. This study evaluates the ability of serum lactate, central venous oxygen saturation (Scvo 2), and venous-arterial carbon dioxide difference (GapCo 2) to predict mortality in patients with postcardiac arrest (post-CA) syndrome.<br />Methods: A prospective observational study of patients with post-CA in a tertiary teaching hospital. Serial assessments of lactate, lactate clearance (Clac), GapCo 2, and Scvo 2 in the first 72 hours post-CA were analyzed. Adults (≥18 years) patients resuscitated from CA were included. The primary end point was 28-day mortality and secondary end points were 24- and 72-hour mortality.<br />Results: A total of 54 patients were recruited, 33 (61,1%) of 54 were men, with a 28-day mortality of 75.9%. Cardiac arrest occurred in-hospital in 84.6% of survivors and 97.5% of nonsurvivors. Lactate and Clac were significantly associated with mortality at 28 days, yielding an area under the receiver-operating characteristic curve of 0.797 (lactate 6 hours) and 0.717 (Clac 6 hours) with a positive predictive value of 96% for lactate 6 hours (> 2.5 mmol/L) and 89.5% for Clac 6 hours (<50%). Survival analysis confirmed the difference between the groups from the 24th hour post-CA. Considering mortality at 24 hours, lactate, Clac, and Scvo 2 (immediately post-CA, 6 and 18 hours) were different between the groups. In mortality at 72 hours, lactate, Clac, Scvo 2 (48 hours), and GapCo 2 (36 and 48 hours) were associated with mortality.<br />Conclusion: In post-CA syndrome, serum lactate and Clac were consistently able to predict mortality.<br /> (© The Author(s) 2015.)

Details

Language :
English
ISSN :
1525-1489
Volume :
31
Issue :
8
Database :
MEDLINE
Journal :
Journal of intensive care medicine
Publication Type :
Academic Journal
Accession number :
26112759
Full Text :
https://doi.org/10.1177/0885066615592865