Literature DB >> 26759665

Lactate Clearance Predicts Survival Among Patients in the Emergency Department with Severe Sepsis.

Sundeep R Bhat1, Kai E Swenson2, Melissa W Francis3, Charles R Wira2.   

Abstract

INTRODUCTION: Lactate clearance has been implicated as a predictor of mortality among emergency department (ED) patients with severe sepsis or septic shock. We aimed to validate prior studies showing that lactate clearance during the ED stay is associated with decreased mortality.
METHODS: Retrospective dual-centered cross-sectional study using patients identified in the Yale-New Haven Hospital Emergency Medicine sepsis registry with severe sepsis or septic shock who had initial lactate levels measured in the ED and upon arrival (<24 hours) to the hospital floor. Lactate clearance was calculated as percent of serum lactate change from ED to floor measurement. We compared mortality and hospital interventions between patients who cleared lactate and those who did not.
RESULTS: 207 patients (110 male; 63.17±17.9 years) were included. Two reviewers extracted data with 95% agreement. One hundred thirty-six patients (65.7%) had severe sepsis and 71 patients (34.3%) had septic shock. There were 171 patients in the clearance group and 36 patients in the non-clearance group. The 28-day mortality rates were 15.2% in the lactate clearance group and 36.1% in the non-clearance group (p<0.01). Vasopressor support was initiated more often in the non-clearance group (61.1%) than in the clearance group (36.8%, p<0.01) and mechanical ventilation was used in 66.7% of the non-clearance group and 36.3% of the clearance group (p=0.001).
CONCLUSION: Patients who do not clear their lactate in the ED have significantly higher mortality than those with decreasing lactate levels. Our results are confirmatory of other literature supporting that lactate clearance may be used to stratify mortality-risk among patients with severe sepsis or septic shock.

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Year:  2015        PMID: 26759665      PMCID: PMC4703153          DOI: 10.5811/westjem.2015.10.27577

Source DB:  PubMed          Journal:  West J Emerg Med        ISSN: 1936-900X


INTRODUCTION

The incidence of severe sepsis in the United States has increased steadily over the past two decades, with an estimated 3.1% of all patients who present with infection to the emergency department (ED) meeting criteria for severe sepsis.1 Over half of all septic patients require intensive care unit (ICU) admission,2 and among those with organ dysfunction, overall mortality rate may approach up to 70 percent.2–4 The advent of protocolized care has ushered in an era of ED outcomes research among patients with severe sepsis and septic shock with an objective of optimizing physiologic derangements occurring during the sepsis cascade. Direct mortality benefits have been shown in several studies.4–6 However, there are a limited set of methods to risk-stratify patients with severe sepsis and septic shock,7–11 and current tools require complex sets of variables or invasive monitoring, which may not be immediately available in the ED setting.12–14 There similarly remains a need for non-invasive endpoints to resuscitation that could tell providers they are successfully reversing physiologic derangements. Serum lactic acid levels have long been identified as a diagnostic tool for global tissue hypoxia and therefore can serve in identifying patients with severe sepsis;15–17 however, in recent years there has also been recognition of the prognostic value of serum lactate measurement.18–20 Increased initial lactate values have been associated with mortality among all-comers with sepsis,20–22 as well as specifically in ED patients with sepsis.19 Based upon these findings, international sepsis guidelines now suggest routine measurement of lactate among patients with severe sepsis and immediate resuscitation for septic patients whose serum lactate measurement is greater than 4 mmol/L.23 Relatively few studies, however, have examined the role of lactate clearance or serial lactate measurements as endpoints among patients with severe sepsis or septic shock patients presenting in the ED.18,24–26 Several hospitals are now incorporating sepsis bundles into standard practice, and these bundles often suggest repeat lactate measurement,27–29 yet there are limited data available to show what clinical significance the serial measurement has. Our aim was to evaluate the predictive value of lactate clearance on 28-day in-hospital mortality and to investigate secondary outcomes such as need for particular treatments and interventions. We hypothesized that patients with severe sepsis or septic shock who present to the ED and have evidence of lactate clearance upon admission to the hospital would have lower in-hospital mortality rates than those who did not clear initial lactate levels.

METHODS

The study was performed at a dual-site teaching hospital ED with nearly 100,000 patient visits annually. It was a retrospective cross-sectional study using patients identified prospectively in the Yale-New Haven Hospital Emergency Medicine registry. The study was approved by the Yale Human Investigation Committee for the review of medical records by study personnel. The registry is comprised of a patient list created between July 1, 2005, and July 31, 2008. In a systematic and standardized fashion, we prospectively and consecutively identified sepsis registry patients during predefined time periods at two EDs as a quality improvement initiative tracking sepsis outcomes (i.e., short-term mortality) and quality measures (i.e.–lactate measurement, time to antibiotics, resuscitative endpoints) for ED patients in the Yale Health System. Inclusion criteria were age greater than 18 years and a diagnosis of severe sepsis or septic shock. In addition, for all included patients, the time between the initial ED serum lactate measurement and the lactate measurement on the floor needed to be 24 hours or less. Patients were excluded from the study if they were discharged to home or were documented as desiring only comfort care measures prior to or during the ED admission. We based definitions of systemic inflammatory response syndrome (SIRS) criteria, presumed or documented source of infection, end-organ dysfunction, and classification of a patient’s sepsis category upon the model proposed by the International Sepsis Definitions Conference’s consensus statement.17 End-organ dysfunction was defined as any one of the following findings: transient systolic blood pressure less than 90 mmHg that responded to fluid resuscitation; lactate level greater than or equal to 2mmol/L; altered mental status from baseline; elevation of any coagulation factor (in the absence of heparin or warfarin therapy); unexplained acidosis marked by an arterial pH less than 7.35 or a serum bicarbonate level less than 21mEq/L; elevation of bilirubin (direct or indirect) from baseline; hypoxemia marked by a pulse oximetry reading less than 90 percent or presence of a significant oxygen requirement; acute kidney injury defined as a creatinine greater than 0.5mg/dL from baseline level or abnormal if no baseline was available; and/or any troponin elevation from baseline. We collected baseline demographic information for all patients. Data were recorded in a standardized fashion onto a data collection form by medical student investigators under the supervision of a faculty investigator. We entered data from the chart review into an Excel (Microsoft Corp., Redmond, Washington) database. Weekly meetings were conducted to review progress and the data extraction process. Lactate data collected in the database included the time and measured value for the initial ED, peak ED, initial admission, and peak admission serum lactate levels. For data points that were not present in the chart, labs other than serum lactate levels were considered to be normal and were not calculated into the mean value; Glasgow Coma Scale (GCS) scores that were not explicitly recorded were interpreted from the documented neurologic exam or excluded from the mean value if an exam was not documented. There were no missing vital signs or lactate values among our sample. The two chart extractors collected overlapping data points with 95% agreement. We calculated lactate clearance as a percentage of lactate cleared between the initial ED lactate blood draw and the initial admission lactate level by modeling after previously developed formulas: (Initial ED lactate level - Admission ED lactate level)/Initial ED lactate level18,25. Patients who had a negative value for lactate clearance based upon this formula were considered to have not cleared lactate; all other patients (i.e., those that had a zero or positive value) comprised the lactate clearance group. The time period over which clearance occurred was calculated using the date and time information for each lab draw. We compared the 28-day in-hospital mortality rate among all-comers who cleared lactate with those who showed an increase in lactate levels at the time of admission. We also calculated Acute Physiology and Chronic Health Evaluation II (APACHE II) and Mortality in Emergency Department Sepsis (MEDS) scores,8,11 For MEDS calculations, because “rapidly terminal comorbid disease” data was not explicitly available in the registry, we used patients with cancer receiving chemotherapy as a surrogate of terminal disease. Secondary analyses were performed to determine differences between the lactate clearance group and the patients with negative clearance for variables related to baseline characteristics, disease severity, and ED treatments. In addition, we assessed markers of morbidity outcome between the two groups by comparing rates of vasopressor use, steroid administration, mechanical ventilation, and source control between the two groups. We completed statistical analysis using SPSS 11.0 (Chicago, IL, USA) and GraphPad (La Jolla, CA, USA). For all categorical variables, relationships were determined using two-tailed Fisher’s exact tests or a chi-squared test. If the data contained continuous variables, independent samples, 2-tailed t-tests were used. Findings were deemed statistically significant for all values of p<0.05. Unless otherwise specified, all reported values in the manuscript, tables, and figures present mean±standard deviation (SD).

RESULTS

Of the 245 patients in the registry with serial lactate levels obtained both in the ED and on the floor, 207 met inclusion criteria for our study. We excluded 38 patients (15.5%) for having greater than 24 hours between lactate levels in the ED and the floor. The sample consisted of 110 males (53.1%) with a mean age of 63 years±17.9 years. Overall patient characteristics are summarized in Table 1. One hundred thirty-six patients (65.7%) met criteria for severe sepsis and 71 patients (34.3%) met criteria for septic shock. Patients’ mean total number of organ dysfunction signs was 3.63±2.0 with 95 patients (45.9%) having four or more organs with dysfunction.
Table 1

Patient characteristics (n=207) in study of lactate clearance as predictor of survival in patients with severe sepsis.

Patient characteristicsn (%)
Male110 (53.1%)
Mean age ± SD (years)63.17 ± 17.9
Diagnosis
 Severe sepsis136 (65.7%)
 Septic shock71 (34.3%)
Diagnostic criteria
 Mean number of SIRS criteria ± SD2.99 ± 0.77
 Documented source of infection
  Genito-urinary24 (11.6%)
  Intra-abdominal27 (13.0%)
  Pneumonia54 (26.1%)
  Soft tissue16 (7.7%)
  Other19 (9.2%)
 Mean number of organ dysfunctions ± SD3.63 ± 2.0
  Transient hypotension86 (41.5%)
  Lactate level ≥2mmol/L144 (69.6%)
  Unexplained acidosis97 (46.9%)
  Altered mental status72 (34.8%)
  Low platelet count31 (15.0%)
  Elevated bilirubin level81 (39.1%)
  Coagulopathy(without prior anticoagulation)31 (15.0%)
  Acute renal failure98 (47.3%)
  Hypoxemia64 (30.9%)
  Troponin elevation52 (25.1%)
Past medical history
 Alcohol abuse26 (12.6%)
 Asthma10 (4.8%)
 Cancer54 (26.1%)
 Cancer with chemotherapy22 (10.6%)
 Congestive heart failure45 (21.7%)
 Coronary artery disease47 (22.7%)
 Chronic altered mental status25 (12.1%)
 Chronic obstructive pulmonary disease38 (18.4%)
 CVA/transient ischemic attack29 (14.0%)
 Diabetes74 (35.7%)
 End stage renal disease25 (12.1%)
 HIV or HIV/AIDS9 (4.3%)
 Hypertension108 (52.2%)
 Immunosuppression22 (10.6%)
 Liver disease15 (7.2%)
 Residing in extended care acility59 (28.5%)
 Mean MEDS score ± SD§9.05 ± 4.09

SIRS, systemic inflammatory response syndrome; CVA, cerebrovascular accident; HIV, human immunodeficiency virus; AIDS, acquired immune deficiency syndrome

e.g., central nervous system infection or line infection.

MEDS, mortality in emergency department sepsis

N = 206.

A summary of ED interventions is described in Table 2. One hundred ninety-four patients (93.7%) in the study received antibiotics in the ED. Fifty-two patients (25.1%) received some form of vasopressor support in the ED and nearly 40% of patients required vasopressor support within 72 hours of admission to the hospital. Eighty-six patients required mechanical ventilation either in the ED or at some point during their hospitalization. One hundred sixty-one patients (77.8%) were admitted to an ICU setting. The overall 28-day in-hospital mortality rate for our cohort was 19% (39 patients).
Table 2

Interventions and treatment (n=207).

n (%)
Mean length of ED stay ± SD (hours:minutes)6:25 ± 3:26
Mean intravenous fluid amount ± SD (L)3.43 ± 2.33
Antibiotic treatment
 Received194 (93.7%)
 Mean time ± SD (hours:minutes)2:34 ± 2:12
Type of antibiotic
 Acyclovir4 (2.1%)
 Ampicllin4 (2.1%)
 Ceftazadime8 (4.1%)
 Ceftriaxone45 (23.2%)
 Ciprofloxacin45 (23.2%)
 Doxycycline33 (17.0%)
 Metronidazole22 (11.3%)
 Gentamicin8 (4.1%)
 Ampicillin/sulbactam8 (4.1%)
 Vancomycin122 (62.9%)
 Piperacillin/tazobactam112 (57.4%)
 Other§9 (4.6%)
Cultures
 Blood culture drawn199 (96.1%)
 Urine culture drawn139 (67.1%)
 Other culture drawn63 (30.4%)
 Any culture positiveΔ140 (34.9%)
Hospital vasopressors
 Less than 72 hours after admission81 (39.1%)
 Greater than 72 hours after admission7 (3.4%)
Hospital use of dobutamine15 (7.2%)
Hospital use of corticosteroids75 (36.2%)
Source control40 (19.3%)
Hospital use of mechanical ventilation86 (41.5%)

ED, emergency department

N=194 (of those patients receiving antibiotics).

amoxicillin, clindamycin, meropenem, moxifloxacin, trimethoprim-sulfamethoxazole.

e.g., sputum, wound, or cerebrospinal fluid cultures.

N=401 (of those cultures drawn).

abscess drained, line pulled, endoscopic or operative management.

The mean initial ED lactate in the clearance group was 3.2±2.1mmol/L and the mean for the non-clearance group was 3.1±3.7mmol/L (95% CI, [−1.2 to 1.4]; p=0.861). In contrast, admission lactate levels differed significantly between the non-clearance group’s mean level of 4.7±4.8 mmol/L and the clearance group’s mean lactate of 1.7±1.2 (95 % CI, [−4.6 to −1.4]; p<0.001). Table 3 compares demographical and clinical variables between the clearance and non-clearance groups.
Table 3

Baseline characteristics and therapies for clearance and non-clearance groups.

VariableClearance group (N=171)Non-clearance group (N=36)p-value
Age (years)63.3 ± 18.062.53 ± 17.520.814
Diagnostic variables
 Severe sepsis (%)67.358.30.337
 Number of SIRS criteria3.03 ± 0.752.78 ± 0.800.073
Source of infection (%)
 Genito-urinary11.113.90.577
 Intra-abdominal14.08.30.429
 Pneumonia25.727.80.835
 Soft tissue7.68.31.00
 Other9.48.31.00
Number of organ dysfunctions3.54 ± 1.874.03 ± 2.500.187
Past medical history (%)
 Alcohol abuse13.58.30.581
 Cancer26.922.20.678
 Cancer with chemotherapy8.819.40.074
 Congestive heart failure19.333.30.076
 Coronary artery disease23.419.40.669
 Chronic obstructive pulmonary disease15.233.30.017a
 Diabetes37.427.80.340
 End stage renal disease11.713.90.778
 Hypertension49.763.90.144
 Immunosuppression9.913.90.550
 Liver disease7.08.30.729
Residing in extended care facility (%)26.936.10.310
Glasgow coma scale scoreψ13.6 ± 2.813.2 ± 3.50.431
MEDS score8.78 ± 3.9610.40 ± 4.480.032a
APACHE II score18.6 ± 7.021.1 ± 8.60.069
Laboratory values
 WBC (per mm3)13.99 ± 8.1016.71 ± 18.570.168
 Hematocrit (%)37.72 ± 7.4135.60 ± 8.010.130
 Platelet count (per mm3)260.8 ± 124.4222.1 ± 129.80.097
 Creatinine (mg/mL)2.4 ± 2.12.4 ± 1.90.942
 Blood cultures drawn (%)97.191.70.145
 Urine cultures drawn (%)70.252.80.052
 Initial ED lactate (mmol/L)3.26 ± 2.143.14 ± 3.730.804
 Initial admission lactate (mmol/L)1.76 ± 1.254.76 ± 4.81<0.001a
Therapy (%)
 Intravenous fluid administered in ED98.886.10.002a
 Amount of intravenous fluid (L)Δ3.41 ± 2.263.57 ± 2.740.720
 Antibiotics administered in ED95.386.10.054
 Central line placement in ED45.061.10.099
 ED vasopressor use24.030.60.405

SIRS, systemic inflammatory response syndrome; MEDS, mortality in emergency department sepsis; APACHE II, Acute Physiology and Chronic Health Evaluation II; WBC, white blood cell; ED, emergency department

e.g., line infection or central nervous system infection.

N=165 for clearance group.

N=35 for non-clearance group.

N=169 for clearance group.

N=34 for non-clearance group

ED, emergency department

Statistically significant, p<0.05.

The percentages of patients receiving vasopressor support in the ED were 24% (n=41) and 30.6% (n=11) for the clearance and non-clearance groups, respectively (p=0.405). As shown in Figure 1, the non-clearance group had a rate of overall hospital vasopressor use of 61.1% (n=22) whereas only 36.8% (n=63) in the clearance group received vasopressors after admission (p=0.009). There was also a difference in the rate of hospital use of mechanical ventilation between the lactate clearance group and the patients who did not clear lactate (36.3% (n= 62) vs. 66.7% (n=24), p=0.001). Rates of corticosteroids and source control procedures were similar among the two groups. The mean ED length of stay for the clearance group was 6.5±3.33 hours contrasted to 5.98±3.93 hours for the Non-clearance group (p=0.41).
Figure 1

Hospital interventions for clearance and non-clearance groups.

A significantly higher ratio of patients in the non-clearance group required vasopressor support within 72 hours of admission compared with the rate of vasopressor use in the clearance group (p<0.01). A greater percentage of patients in the non-clearance group required mechanical ventilation for any point during the hospitalization (p=0.001). There were no significant differences in the rates of steroid use or source control between clearance and non-clearance groups.

In hospital 28-day mortality rates were 12.7% (8 of 63 patients) for patients who had initial lactates less than 2.0mmol/L, compared with mortality rates of 19.5% (17 of 87 patients) among patients with an initial lactate between 2.0 and 4mmol/L and 24.6% (14 of 57 patients) for those with lactates greater than 4.0mmol/L (p=0.246). For our cohort, the mean time between the initial ED lactate measurement and the second-floor lactate blood draw was 9 hours and 8 minutes±4 hours and 46 minutes. As shown in Figure 2, the mortality rate was 36.1% (13 of 36 patients) among those who did not clear their lactate level after admission compared with the mortality rate of 15.2% (26 of 171 patients) for those in the lactate clearance group (p=0.008). Further, among the subgroup of 144 patients with an initial ED lactate of 2 mmol/L or higher, 28-day mortality rates were 62.5% for the non-clearance group (10 of 16 patients) compared with 16.4% (21 of 128 patients) in the clearance group (p<0.001).
Figure 2

Mortality rates by lactate clearance group.

28-day in-hospital mortality rates were significantly lower among patients who cleared lactate (15.2% mortality) compared with those who did not (36.1% mortality, p<0.01).

DISCUSSION

We have shown in a real-world cross-sectional study that 28-day in-hospital mortality rates are significantly higher among patients who have no lactate clearance upon admission to the hospital compared with those who have clearance. Our findings complement a growing body of literature, consisting of both retrospective studies and prospective and randomized clinical trials that demonstrate the non-invasive variable of lactate clearance can be used to predict 28-day mortality among patients in the ED with severe sepsis or septic shock.18,25,30,31,32 Bakker et al. found that among the septic shock population, a shorter “lac-time” (defined as the total duration of elevated blood lactate levels) could predict survivability but also could predict lower organ failure scores, lending credence to the emerging concept of serial lactate measurement.15 Specific application to the ED setting came with Nguyen’s novel use of the formula for lactate clearance during the first six hours of care, and these authors showed a statistically and clinically significant difference in outcome.18 They found that although there is often no statistical difference among patients’ initial lactate levels, those patients who were unable to improve their lactic acidosis were more likely to develop organ failure and had higher 24-hour and 60-day mortality rates.15,18 Nguyen et al. did not find a significant difference in the use of ED vasopressors or fluid among survivors and non-survivors in their sample, and our cohort similarly revealed no differences between clearance and non-clearance groups for ED vasopressor usage. In addition, we found no significant difference in antibiotic administration rates between the two groups. In an analysis using data from prospectively collected registries from three urban hospitals, Arnold et al., showed similar results to Nguyen’s work, suggesting that lactate clearance of 10% or greater from initial values was associated with significant mortality benefits.25 Our study shows comparable results using a slightly different definition of “clearance” in that we examined a binary distinction (i.e., decrease or no change in lactate versus any increase in lactate), which we feel can be easily calculated by the clinician. Our results are also similar to work from other arenas, including the trauma literature, that supports the notion of lactate clearance as a marker for ongoing tissue hypoxia and a predictor of mortality. The use of normalized lactate clearance has been associated with improved outcomes in several critical illness settings, including both trauma patients33,34 and patients with circulatory arrest.35–37 Our findings also show a significantly higher requirement for hospital vasopressors within 72 hours of admission for the non-clearance group and further revealed a significantly higher rate of mechanical ventilation among the non-clearance group, a finding that was not seen in the prior work by Nguyen et al. but has been demonstrated in a recent study among trauma patients in which impaired 24-hour lactate clearance increased the likelihood of requiring mechanical ventilation.38 Among our sample, fewer patients in the non-clearance group received fluids compared with those patients who had clearance of lactate suggesting that under-resuscitation with intravenous fluids, independent of receipt of antibiotics, may correlate with impaired lactate clearance; the patients in the non-clearance group likely had sustained global tissue hypoxia due to ongoing physiologic derangements. Therefore, it appears that patients who are not clearing lactate are sicker in spite of having similar severity of illness scores to the control group. This could be because a proportion of patients didn’t receive adequate ED fluid resuscitation, or it could illustrate that lactate is a better prognostic variable for the ED setting. Furthermore, extrapolation from our results suggests that lactate clearance might be a useful endpoint for ED resuscitation, but further investigation will undoubtedly be needed to assess its exact potential. Currently, lactate clearance is not readily identified as a variable that can be used to determine the therapeutic endpoint for patients with sepsis.23 However, a recent study has shown lactate clearance may be used as a surrogate for invasive central venous oxygen saturation when implementing resuscitative strategies.26 If lactate clearance continues to be associated with improved outcome, as in our study and other recent work,18,25,26 it may suggest that normalized lactate values can be used as a therapeutic endpoint among this patient population, should be incorporated into sepsis bundles, and might dictate safe disposition from the ED or ICU to a general medical floor.

LIMITATIONS

Limitations of our study include its retrospective extraction from a prospective registry and chart abstractors were not blinded to the study hypothesis. Several data points were unavailable in the sepsis registry, and calculation of GCS, for example, relied upon use of documented neurologic status at triage or during the physical exam. Despite this limitation, our cohort included 207 patients, which is among the highest in any study of lactate clearance and ED sepsis to date, and we had strong agreement between the two investigators recording overlapping data points. The study was also prone to a length bias as there was not a specific protocol guiding the intervals lactate levels were drawn (i.e., time to initial and time to repeat lactate level) —this was left at the discretion of the treating teams and could have been delayed for various reasons, thus confounding results. However, there is still potential merit in assessment at variable time-periods. What is perceived as “lactate clearance” may also be interpreted, given the short duration of elevation seen in other patient populations (i.e., grand mal seizure patients), as a decrease in lactate production.39 This interruption in lactate production likely ensues from resuscitative procedures reversing global tissue hypoxia and oxygen delivery and consumption mismatches. It is feasible that the termination of lactate production reflected by lactate clearance formulas may perhaps better confer prognostic information in the early (<24 hours) phase of ED and inpatient care. Despite these considerations that merit further investigation, in our study the mean time over which lactate clearance was measured was only three hours greater than the study by Nguyen et al. and there was no significant difference in the mean time over which lactate clearance was calculated between our clearance and non-clearance groups. Similarly, our results could be affected by selection bias, in that sicker patients may have been prone to getting lactate levels checked more frequently. However, we found no significant differences between the clearance and non-clearance group for initial lactate level and also found no significant difference in APACHE II score between the two groups, suggesting that the overall population had similar disease severity at the time of presentation and initial lactate draw. However, the proportion of patients who received antibiotics or IVF in the ED was higher in the clearance group (p=0.002 for IVF, p=0.054 for antibiotic administration). This confounder could account for the observed differences in mortality, and perhaps underscores the importance of administering these key interventions in a time-sensitive fashion in the ED. Additionally, selection bias may have been why some patients were excluded because an initial lactate was not measured, but this group was small. Our overall sample population had even distribution by gender, had a mean age of 63 years which is similar to the mean age of the sample used by Nguyen et al., and also had similar characteristics between the clearance and non-clearance groups for initial laboratory parameters, SIRS presentations, ED length of stay, and lactate levels. Thus we feel our “real world” findings can be compared with those of prior studies and are applicable to the broader population of patients presenting to the ED with severe sepsis or septic shock.

CONCLUSION

Based on our findings, we conclude that lactate clearance appears to correlate with short-term survival among patients with severe sepsis or septic shock. Lactate clearance could serve as an efficient tool for mortality risk-stratification similar to more complex scoring systems and could potentially provide critical information about response to treatment. Despite the need for further prospective validation studies, this study reveals that the ability to clear lactate or halt lactate production could have potential as a predictor of mortality among patients presenting to the ED with severe sepsis or septic shock, in aiding with disposition, or in recognizing patients who require additional resuscitation.
  38 in total

1.  The sepsis six and the severe sepsis resuscitation bundle: a prospective observational cohort study.

Authors:  Ron Daniels; Tim Nutbeam; Georgina McNamara; Clare Galvin
Journal:  Emerg Med J       Date:  2010-10-29       Impact factor: 2.740

2.  The Multiple Organ Dysfunction Score (MODS) versus the Sequential Organ Failure Assessment (SOFA) score in outcome prediction.

Authors:  Daliana Peres Bota; Christian Melot; Flavio Lopes Ferreira; Vinh Nguyen Ba; Jean-Louis Vincent
Journal:  Intensive Care Med       Date:  2002-09-06       Impact factor: 17.440

3.  Mortality in Emergency Department Sepsis (MEDS) score: a prospectively derived and validated clinical prediction rule.

Authors:  Nathan I Shapiro; Richard E Wolfe; Richard B Moore; Eric Smith; Elizabeth Burdick; David W Bates
Journal:  Crit Care Med       Date:  2003-03       Impact factor: 7.598

4.  The golden hour and the silver day: detection and correction of occult hypoperfusion within 24 hours improves outcome from major trauma.

Authors:  O Blow; L Magliore; J A Claridge; K Butler; J S Young
Journal:  J Trauma       Date:  1999-11

5.  Implementation of a bundle of quality indicators for the early management of severe sepsis and septic shock is associated with decreased mortality.

Authors:  H Bryant Nguyen; Stephen W Corbett; Robert Steele; Jim Banta; Robin T Clark; Sean R Hayes; Jeremy Edwards; Thomas W Cho; William A Wittlake
Journal:  Crit Care Med       Date:  2007-04       Impact factor: 7.598

6.  Improved sepsis bundles in the treatment of septic shock: a prospective clinical study.

Authors:  Nian-Fang Lu; Rui-Qiang Zheng; Hua Lin; Jun Shao; Jiang-Quan Yu; De-Gang Yang
Journal:  Am J Emerg Med       Date:  2015-04-25       Impact factor: 2.469

7.  Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock: 2008.

Authors:  R Phillip Dellinger; Mitchell M Levy; Jean M Carlet; Julian Bion; Margaret M Parker; Roman Jaeschke; Konrad Reinhart; Derek C Angus; Christian Brun-Buisson; Richard Beale; Thierry Calandra; Jean-Francois Dhainaut; Herwig Gerlach; Maurene Harvey; John J Marini; John Marshall; Marco Ranieri; Graham Ramsay; Jonathan Sevransky; B Taylor Thompson; Sean Townsend; Jeffrey S Vender; Janice L Zimmerman; Jean-Louis Vincent
Journal:  Crit Care Med       Date:  2008-01       Impact factor: 7.598

8.  Two-hour lactate clearance predicts negative outcome in patients with cardiorespiratory insufficiency.

Authors:  Sean Scott; Vittorio Antonaglia; Giovanna Guiotto; Fiorella Paladino; Fernando Schiraldi
Journal:  Crit Care Res Pract       Date:  2010-06-28

9.  Lactate clearance and survival following injury.

Authors:  D Abramson; T M Scalea; R Hitchcock; S Z Trooskin; S M Henry; J Greenspan
Journal:  J Trauma       Date:  1993-10

10.  Mortality predictions using current physiologic scoring systems in patients meeting criteria for early goal-directed therapy and the severe sepsis resuscitation bundle.

Authors:  H Bryant Nguyen; Jim E Banta; Thomas W Cho; Chad Van Ginkel; Kristy Burroughs; William A Wittlake; Stephen W Corbett
Journal:  Shock       Date:  2008-07       Impact factor: 3.454

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4.  Normal Saline Solution or Lactated Ringer's Solution to Enhance Lactate Clearance in Septic Patients After Initial Resuscitation in the ED: A Retrospective Cohort Trial.

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Journal:  West J Emerg Med       Date:  2017-07-10

6.  Serum lactate is an independent predictor of hospital mortality in critically ill patients in the emergency department: a retrospective study.

Authors:  Ralphe Bou Chebl; Christopher El Khuri; Ali Shami; Eva Rajha; Nagham Faris; Rana Bachir; Gilbert Abou Dagher
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2017-07-14       Impact factor: 2.953

7.  Resuscitation fluid composition affects hepatic inflammation in a murine model of early sepsis.

Authors:  Amanda L Patrick; Peter M Grin; Nicole Kraus; Michelle Gold; Matthew Berardocco; Patricia C Liaw; Alison E Fox-Robichaud
Journal:  Intensive Care Med Exp       Date:  2017-01-19

8.  Pentraxin-3, procalcitonin and lactate as prognostic markers in patients with sepsis and septic shock.

Authors:  Chenggong Hu; Yongfang Zhou; Chang Liu; Yan Kang
Journal:  Oncotarget       Date:  2017-12-26

Review 9.  The value of blood lactate kinetics in critically ill patients: a systematic review.

Authors:  Jean-Louis Vincent; Amanda Quintairos E Silva; Lúcio Couto; Fabio S Taccone
Journal:  Crit Care       Date:  2016-08-13       Impact factor: 9.097

Review 10.  Sepsis: A Review of Advances in Management.

Authors:  Jordi Rello; Francisco Valenzuela-Sánchez; Maria Ruiz-Rodriguez; Silvia Moyano
Journal:  Adv Ther       Date:  2017-10-11       Impact factor: 3.845

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