Base excess and lactate as prognostic indicators for patients admitted to intensive care - 15 years later
- 253 Downloads
KeywordsLactate Intensive Care Unit Intensive Care Unit Admission Prognostic Indicator Sequential Organ Failure Assessment
Identifying patients who may deteriorate on the ward and need admission to an intensive care unit (ICU) is imprecise. Numerous variables, alone or in combination, have been used to identify patients who may benefit from ICU admission. A predictive test should be accurate, reliable, easy to measure and cheap. 
15 years ago an observational study from our unit showed that both base excess (BE) and lactate, or combination of both, can be used to predict outcome in patients admitted to ITU . We replicated this study to find out if BE and lactate are still useful prognostic indicators for patients admitted to ITU.
As in the 2001 study we examined the records of 148 unselected, consecutive general medical and surgical admissions to St George's Hospital General ITU in September 2013. We recorded blood BE and lactate levels at admission and at 24 hours and calculated corresponding Sequential Organ Failure Assessment (SOFA) scores. The data was taken from the patients' ITU charts and our computer laboratory result system EPR. We compared this data to that presented in 2001. The chi square test was used to determine the statistical difference between groups.
44 patients were admitted with acute medical problems, 68 after elective surgery and 36 after emergency surgery (compared with 70, 53 and 25 respectively in reported in 2001). As in 2001 we divided the patients into three groups: those with admission serum lactate ≥ 1.5 or < 1.5 mmol/l, those with serum BE > -4.0 or ≤ -4.0 mmol/l and those with admission BE ≤ -4.0 mmol/l and a lactate ≥1.5mmol/l. Calculated admission SOFA scores were not significantly different between and of the 2001 and 2014 groups.
Base excess and lactate are still indicators of severity of disease and can be used to monitor treatment and response.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.