Lactate clearance as a useful biomarker for the prediction of all-cause mortality in critically ill patients: a systematic review study protocol (original) (raw)
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Diagnostics
One of the challenges in the emergency department (ED) is the early identification of patients with a higher risk of clinical deterioration. The objective is to evaluate the prognostic capacity of ΔLA (correlation between prehospital lactate (pLA) and hospital lactate (hLA)) with respect to in-hospital two day mortality. We conducted a pragmatic, multicentric, prospective and blinded-endpoint study in adults who consecutively attended and were transported in advanced life support with high priority from the scene to the ED. The corresponding area under the receiver operating characteristics curve (AUROC) was obtained for each of the outcomes. In total, 1341 cases met the inclusion criteria. The median age was 71 years (interquartile range: 54–83 years), with 38.9% (521 cases) females. The total 2 day mortality included 106 patients (7.9%). The prognostic precision for the 2 day mortality of pLA and hLA was good, with an AUROC of 0.800 (95% CI: 0.74–0.85; p < 0.001) and 0.819 (95%...
Prognostic value of lactate in prehospital care as a predictor of early mortality
The American Journal of Emergency Medicine, 2018
Background: Prehospital Emergency Medical Services must attend to patients with complex physiopathological situations with little data and in the shortest possible time. The objective of this work was to study lactic acid values and their usefulness in the prehospital setting to help in clinical decision-making. Study design: We conducted a longitudinal prospective, observational study on patients over 18 years of age who, after being evaluated by the Advanced Life Support Unit, were taken to the hospital between April and June 2018. We analyzed demographic variables, prehospital lactic acid values and early mortality (less than 30 days). The area under the curve of the receiver operating characteristic was calculated for the prehospital value of lactic acid. Results: A total of 279 patients were included in our study. The median age was 68 years (interquartile range: 54-80 years). Overall 30-day mortality was 9% (25 patients). The area under the curve for lactic acid to predict overall mortality at 30 days of care was 0.82 (95% CI: 0.76-0.89). The lactate value with the best sensitivity and specificity overall was 4.25 mmol/L with a sensitivity of 84% (95% CI: 65.3-93.6) and specificity of 70% (95% CI: 65.0-76.1). Conclusions: The level of lactic acid can be a complementary tool in the field of prehospital emergencies that will guide us early in the detection of critical patients.
Prognostic Value of Blood Lactate Levels: Does the Clinical Diagnosis at Admission Matter?
The Journal of Trauma: Injury, Infection, and Critical Care, 2009
Background: Hyperlactatemia and its reduction after admission in the intensive care unit (ICU) have been related to survival. Because it is unknown whether this equally applies to different groups of critically ill patients, we compared the prognostic value of repeated lactate levels (a) in septic patients versus patients with hemorrhage or other conditions generally associated with low-oxygen transport (LT) (b) in hemodynamically stable versus unstable patients.
The American Journal of Surgery, 2001
Background: Failure of arterial serum lactate to achieve normal levels has been associated with an increased mortality among medical and trauma patients. At our institution the ability of the patient to normalize arterial serum lactate has been utilized as an end point of resuscitation. In this study, we examine the correlation between length of time to lactate normalization and mortality. Methods: The charts of 95 consecutive surgical intensive care unit (SICU) patients requiring hemodynamic monitoring or therapy were reviewed retrospectively. Hemodynamic, demographic, and laboratory data were recorded. Patients were stratified by lactate normalization time, and a subgroup analysis of survivors and nonsurvivors was performed by univariate and multivariate analysis. Results: Patients not achieving a normal lactate level sustained a 100% hospital mortality rate. Those clearing between 48 and 96 hours sustained a 42.5% mortality rate. Patients normalizing in 24 to 48 hours had a 13.3% mortality rate, and those clearing in less than 24 hours had a mortality rate of 3.9%. Subgroup analysis by survival revealed differences in time to lactate clearance, initial blood pressure, and initial lactate on univariate analysis. On multivariate analysis only time of lactate clearance was found to differ. Conclusions: Prolongation of lactate clearance is associated with increasing mortality. Failure of a patient to normalize lactate is associated with 100% mortality. Measurement of arterial serum lactate is a simple and effective predictor of outcome and end point of therapy.
Lactate Clearance as a Predictive Marker of Mortality in Adult Intensive Care Unit
Nepal Journal of Medical Sciences, 2020
Introduction: Lactate clearance has been widely investigated. Serial lactate concentrations can be used to examine disease severity and predict mortality in the intensive care unit. We investigated the diagnostic accuracy of lactate concentration and lactate clearance in predicting mortality in critically ill patients during the first 24 hours in Intensive Care Unit (ICU).Methods: It was a Prospective, observational study conducted in ICU. Sixty eight consecutive patients having blood lactate level >2 mmol/L were included irrespective of disease and postoperative status. We measured blood lactate concentration at ICU admission(H0), at six hours(H6), 12 hours(H12), and 24 hours(H24). Lactate clearance was measured for H0-H6, H0-H12 and H0-H24 time period.Results: ICU mortality was 33.8%. Lactate clearance was 15.80 ± 17.21% in survivors and 1.73±11% in non survivors for the H0-H6 (p = 0.001) and remained higher in survivors than in non survivors over the study period of 24 hours; ...
Shock, 2020
Introduction: Cardiogenic shock complicating acute myocardial infarction has a very high mortality. Our present study focuses on serial measurement of lactate during admission due to cardiogenic shock and the prognostic effect of lactate and a relative change in lactate in patients after admission and the institution of intensive care treatment. Methods and Results: This is a secondary analysis of the CardShock study. Data on lactate at baseline were available on 217 of 219 patients. In the study population, the median baseline lactate was 2.8 mmol/L (min-max range, 0.5-23.1 mmol/L). At admission, lactate was predictive of 30-day mortality with an adjusted Hazard ratio (HR) of 1.20 mmol/L (95% confidence interval, CI 1.14-1.27). Within the first 24 h of admission, baseline lactate remained predictive of 30-day mortality. Lactate at 6 h had a HR of 1.14 (95% CI 1.06-1.24) and corresponding values at 12 and 24 h had a HR of 1.10 (1.04-1.17), and of HR 1.19 (95% CI 1.07-1.32), respectively. A 50% reduction in lactate within 6 h resulted in a HR of 0.82 (95% CI 0.72-0.94). Corresponding hazard ratios at 12 and 24 h, were 0.87 (95% CI 0.76-0.98) and 0.74 (95% CI 0.60-0.91), respectively. Conclusion: The main findings of the present study are that baseline lactate is a powerful predictor of 30-day mortality, lactate at 6, 12, and 24 h after admission are predictors of 30-day mortality, and a relative change in lactate is a significant predictor of survival within the first 24 h after instituting intensive care treatment adding information beyond the information from baseline values.