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Erschienen in: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 1/2016

Open Access 01.12.2016 | Original research

Capillary lactate concentration on admission of normotensive trauma patients: a prospective study

verfasst von: Pierre Bouzat, Clotilde Schilte, Marc Vinclair, Pauline Manhes, Julien Brun, Jean-Luc Bosson, Jean-François Payen

Erschienen in: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine | Ausgabe 1/2016

Abstract

Background

Elevated serum blood lactate is an indicator of on-going bleeding in severe trauma patients. Point-of-care (POC) capillary lactate measurement devices may be useful to rapidly assess lactate concentration at the bedside. The aim of this study was to test the diagnostic performance of capillary lactate to predict significant transfusion in normotensive trauma patients.

Methods

We conducted a prospective observational study in one level-I trauma centre. From August 2011 to February 2013, 120 consecutive adult patients with systolic blood pressure (SBP) higher than 90 mmHg were included. Capillary lactate was measured on admission in the trauma bay. The primary outcome was defined as a significant transfusion within the first 48 h. Diagnostic performance was determined using receiver operating characteristic (ROC) curve analysis. We also tested the agreement between capillary lactate and blood lactate concentrations using Bland and Altman analysis.

Results

Of the 120 normotensive trauma patients, 30 (25 %) required at least one unit of packed red blood cells (RBC) and 12 (10 %) patients received at least four RBC within the first 48 h. All patients with significant RBC transfusion had capillary lactate higher than 3.5 mmol/l. The area under the ROC curve of capillary lactate on admission to predict transfusion of at least 4 RBC units was 0.68 [95 % CI 0.58 – 0.78]. The average bias between capillary and blood lactate measurements was 2.4 mmol/l with a standard deviation of 3.0 mmol/l (n = 60 patients).

Conclusions

Although a significant association was found between POC lactate concentration and transfusion requirements, the diagnostic performance of capillary lactate measurements was poor. Due to large disagreement between capillary lactate and blood lactate, capillary lactate cannot be considered in the clinical setting.

Trial registration

ClinicalTrials.gov, No. NCT01793428.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s13049-016-0272-x) contains supplementary material, which is available to authorized users.

Background

Increase in lactate concentration is a common indicator of severity in critically ill patients [13]. After severe trauma, elevated serum lactate concentration was also associated with short-term outcomes. In preclinical studies, arterial lactate concentration was a strong predictor of blood loss after blunt or penetrating trauma [46]. In the clinical setting, initial lactate measurement was associated with organ failure and mortality in 129 trauma patients [7]. Blood lactate concentration was also an independent variable associated with mortality in 586 trauma patients [8]. Taken together, these studies highlight the role of arterial lactate concentration to screen high-risk patients for transfusion in the trauma bay.
Other classic vital parameters like heart rate or systolic arterial blood pressure (SBP) are common markers to predict critical bleeding in severe trauma patients [9]. Therefore, the additional information brought by serial lactate measurements may be obscured by classic physiological parameters in shocked patients. Interestingly, the yield of lactate concentration in a selected population of trauma patients with SBP between 90 and 110 mmHg allowed for early identification of patients requiring significant transfusion [10]. In patients with normal vital signs, elevated arterial lactate concentration was also found to be associated with occult major trauma [11]. These results were further corroborated in normotensive elderly blunt trauma patients [12]. Therefore, the additional benefit of arterial lactate concentration to detect patients at risk for transfusion may be superior in patients with normal vital signs compared to patients with shock on admission. However, measuring arterial lactate requires an automatic blood gas test and arterial blood sampling, which could be seen as invasive and expensive in patients with normal vital signs. To overcome these limitations, handheld point-of-care (POC) fingertip lactate measurement was implemented in emergency departments with adequate accuracy to determine moderate increase in lactate levels [13]. Using this device in the pre-hospital setting, capillary lactate concentration higher than 3.5 mmol/l was associated with in-hospital mortality in a study of 124 severe trauma patients requiring urgent ambulance dispatching [14].
The aim of the present study is to assess whether capillary lactate on admission can predict transfusion in trauma patients with a SBP higher than 90 mmHg. We also test the ability of the pre-hospital shock index defined as the ratio between heart rate and SBP to predict a significant transfusion. We assume that capillary lactate higher than 3.5 mmol/l can predict significant transfusion within the first 48 h post-trauma, with a higher accuracy than the pre-hospital shock index.

Methods

Study design and patients

We conducted a prospective observational study. Consecutive trauma patients with SBP higher than 90 mmHg were included from August 2011 to February 2013 in one level-I trauma centre (Grenoble University Hospital, Grenoble, France). The Regional Institutional Ethics Committee (Comité d’Ethique des Centres d’Investigation Clinique de l’inter-région Rhône-Alpes-Auvergne, IRB number 5708) approved the study design and, given its observational nature, waived the requirements for written informed consent from each patient. This study is registered with ClinicalTrials.gov No. NCT01793428.
Inclusion criteria were patients older than 18 year-old, admitted in the trauma bay for suspected severe trauma with a SBP higher than 90 mmHg. Severe trauma was suspected in the pre-hospital setting using the French Vittel triage criteria [15]. Exclusion criteria included pregnancy, chronic liver disease, pre-hospital transfusion, pre-hospital infusion of norepinephrine higher than 0.1 mcg/kg/min and body core temperature lower than 35 °C.

Capillary lactate measurement

The handheld POC capillary lactate measurement device used in this study was the lactate scout® (Senslab, Leipzig, Germany). The lactate analyser is a small device with dimensions of 9.1 × 5.5 × 2.4 cm and weighing 85 g, including batteries. Reactive strips are used for the analysis of lactate using an enzymatic-amperometric biosensor as the measuring element. The measurement range goes from 0.5 to 25.0 mmol/l, and only 0.2 μl of blood is required for the analytical process.

Study protocol and data collection

Patients were included at hospital admission, immediately after the pre-hospital phase. Two consecutive capillary lactate measurements were performed on admission concomitantly to capillary haemoglobin and glucose assessment. These measurements were performed by the nurse in charge of the patient using the same puncture. Sites of capillary puncture were located at fingertip or ear lobe. The average concentration of capillary lactate was recorded for analysis. Arterial or venous blood lactate concentration was concomitantly assessed when serum lactate concentration was prescribed by the attending physician. Arterial and venous lactate values were pooled since no discrepancy between these two variables was found in sepsis [16]. Physicians in charge of the patient were not informed about capillary lactate values.
The following clinical data was collected: age, gender, mechanism of injury, vital parameters (heart rate, SBP) in the pre-hospital field, pre-hospital shock index defined as the ratio between heart rate and SBP, total volume of infusion (colloid and crystalloids), number of RBC units transfused within the first 48 h, emergency treatment for haemostasis (embolization and/or damage control surgery including laparotomy, thoracotomy and orthopaedic surgery for haemostasis), length of stay in intensive care unit (ICU), injury severity score (ISS), and in-hospital mortality. Biological data consisted of capillary lactate and capillary haemoglobin. Serum blood lactate was also collected if available.

Endpoints

The primary outcome was a significant transfusion within the first post-traumatic 48 h defined by a transfusion of at least six RBC units.
The secondary outcomes were: 1) blood lactate concentration to determine the agreement with the POC capillary lactate measurement; 2) a significant transfusion defined by at least four RBC units within the first 48 h; 3) the allocation of transfusion according to abnormal (≥3.5 mmol/l) or normal (< 3.5 mmol/l) capillary lactate concentration on admission.

Study size

To be clinically relevant, we expected 90 % sensitivity for capillary lactate to predict a significant transfusion. The number of patients to be included was set at 120 patients to obtain an acceptable 95 % confidence interval (95 % CI) between 83 and 95 %.

Statistical analysis

Descriptive statistics included frequencies and percentages for categorical variables, and median values (25th–75th percentiles) for continuous variables. The diagnosic performance of capillary lactate to predict transfusion was evaluated using the area under of the receiver operating characteristic curve (AUC-ROC) with its 95 % confidence interval (95 % CI). Sensitivity and specificity were also calculated at the threshold that privileges sensitivity [17]. The agreement between the POC capillary lactate and the serum lactate concentration was done using a Bland & Altman representation [18]. Since only one measurement by each method was taken on each person, and the difference across the range was not constant, we decided to regress the differences on the averages and use the resulting equation to construct limits of agreement [19]. Comparisons between patients with capillary lactate higher or equal to 3.5 mmol/L and those with normal capillary lactate (< 3.5 mmol/l) were done using a chi-square test for categorical variables and using the Mann-Whitney non parametric test for continuous variables. Statistical analysis was performed with R software (version 3.1.2, https://​cran.​r-project.​org). A p value of 0.05 or less was considered statistically significant.

Results

We included 120 consecutive patients within the study period. Characteristics of the trauma population are summarized in Table 1. The typical patient was a young, male adult admitted for blunt trauma. Trauma severity in our cohort was moderate (median ISS = 19) and only two patients out of 120 (2 %) did not survive. Median concentrations of capillary and serum lactate are presented in Table 1. Thirty-two (27 %) patients required emergency treatment for haemostasis (embolization or damage control surgery). Seventy-five (63 %) patients were directed to the ICU after their admission into the trauma bay. Thirty (25 %) patients received at least one unit of RBC within the first 48 h. Only four (3 %) patients received a transfusion of at least six RBC units. The low incidence of the primary outcome did not allow us to explore the diagnostic performance of capillary lactate to predict transfusion of at least six RBC. Nevertheless, twelve (10 %) patients had at least four RBC units within the first 48 h (secondary outcome).
Table 1
Characteristics of the global population (n = 120 patients)
Variable
Value
Age, years
37 [27–56]
Male, n (%)
102 (85 %)
Blunt, n (%)
113 (94 %)
Prehospital SBP, mmHg
116 [100–131]
Prehospital HR, beats/min
80 [71–94]
Prehospital Shock index, n (%):
 
   < 0.9
81 (76 %)
   > 0.9
26 (24 %)
Prehospital Crystalloids, ml
250 [0–500]
Prehospital Colloids, ml
0 [0–0]
Capillary lactate
3.7 [2.3–5.6]
Blood lactate*
1.6 [1.1–2.7]
Capillary hemoglobin, g/dl
13.6 [12.5–14.9]
Emergency surgery, n (%)
28 (23 %)
Embolization, n (%)
4 (3 %)
ISS
19 [10–26]
Length of stay in ICU, n (%)
7 [3–14]
Intra-hospital mortality, n (%)
2 (2 %)
Transfusion ≥ 4 RBC within 48 h, n (%)
12 (10 %)
Values are median [25th–75th percentiles]
RBC packed red Blood Cell; SBP systolic blood pressure, HR heart rate, ICU intensive care unit, ISS injury severity score
*n = 60 patients
The AUC-ROC of capillary lactate on admission to predict significant transfusion was 0.68 [95 % CI 0.58 – 0.78] (see Fig. 1 and Additional file 1). Maximizing the sensitivity, we found a threshold at 3.5 mmol/l. Sensitivity at this cut-off was 100 % (95 % CI 74–100 %) and specificity was 53 % (95 % CI 43–62 %). The AUC-ROC of the shock index was similar: 0.68 [95 % CI 0.51 – 0.85] (see Fig. 1 and Additional file 1). The AUC-ROC of capillary lactate on admission to predict any transfusion was only 0.59 [95 % CI 0.46 – 0.72] whereas the AUC-ROC of serum lactate was 0.77 [95 % CI 0.62 – 0.91].
Agreement between capillary lactate and serum blood lactate was performed in 60 patients. Bland & Altman analysis is presented in Fig. 2. Average bias between the two methods was 2.4 mmol/l with a standard deviation of 3.0 mmol/l. The capillary lactate minus blood lactate difference was positively correlated with the capillary and blood lactate average (capillary – blood lactate = -1.6 + 1.26 × (capillary + blood lactate)/2, p < 0.001), indicating larger discrepancy between the two measurements in patients with abnormal lactate concentration. We used this linear bias to assess the 95 % prediction limits for the blood lactate given the value by the capillary method (Fig. 2).
Univariate analyses between the group of patients with capillary lactate ≥ 3.5 mmol/l (n = 62 patients) and the group of patients with capillary lactate < 3.5 mmol/l (n = 58 patients) is shown on Table 2. Patients in the abnormal capillary lactate group had lower capillary haemoglobin, higher prehospital heart rate and more emergency haemostatic treatment than the normal capillary lactate group. The allocation of transfusion in the two groups is presented in Fig. 3. All patients receiving at least four RBC units had capillary lactate higher than 3.5 mmol/L.
Table 2
Univariate analysis between patients with capillary lactate < 3.5 mmol/l (n = 58 patients) versus patients with capillary lactate ≥ 3.5 mmol/l (n = 62 patients)
 
Capillary lactate <3.5 mmol/l
Capillary lactate ≥3.5 mmol/l
p-value
N = 58 patients
N = 62 patients
Age, years
34.7 [26.3–55.1]
38 [28.2–56.5]
0.61
Male, n (%)
50 (86 %)
52 (84 %)
0.72
Blunt trauma, n (%)
51 (88 %)
60 (97 %)
0.47
Prehospital SBP, mmHg
120 [100–136]
111 [100–129]
 
Prehospital HR, beats/min
77 [69–86]
82 [75–100]
0.26
Prehospital Shock index, n (%) :
  
0.9
   < 0.9
42 (72 %)
42 (68 %)
0.01
   > 0.9
16 (28 %)
20 (32 %)
 
Prehospital Crystalloid, ml
250 [0–500]
250 [0–500]
 
Prehospital Colloid, ml
0 [0–0]
0 [0–0]
 
Capillary lactate
2.2 [1.4–2.6]
5.6 [4.5–7.2]
<0.001
Blood lactate*
1.45 [1–1.9]
2.1 [1.4–3.2]
<0.01
Capillary haemoglobin, g/dl
13.9 [13.0–15.0]
13.1 [11.7–14.5]
0.02
Emergency surgery, n (%)
10 (17.2 %)
18 (29 %)
0.13
Embolization, n (%)
0/58 (0 %)
4/62 (6.5 %)
0.04
ISS
19 [10–26]
18 [10–26]
0.9
Length of stay in ICU, n (%)
7 [3–19]
6.5 [3.3–12.8]
<0.01
In-hospital mortality, n (%)
1 (2 %)
1 (2 %)
0.58
Transfusion ≥4 RBC first 48 h, n (%)
0 (0 %)
12 (19 %)
0.96
Values are median [25th–75th percentiles]
RBC packed Red Blood Cell, SBP systolic blood pressure, HR heart rate, ICU intensive care unit, ISS injury severity score. P value < 0.05 are indicated in bold
*n = 60 patients

Discussion

In a selected cohort of trauma normotensive patients, we found a poor diagnostic performance of capillary lactate to predict the transfusion of at least 4 RBC units. More concerning was the poor agreement between the capillary method and the serum blood lactate concentration. Although significant association was found between capillary lactate and transfusion requirements, the lack of accuracy of capillary lactate weakens the use of this POC device at the bedside to detect occult trauma in non-shocked trauma patients.
Capillary lactate higher than 3.5 mmol/l was statistically associated with transfusion requirements in our cohort. Indeed, this group of patients had more embolization procedures than patients with normal capillary lactate. Accordingly, transfusion needs were also higher in the capillary lactate ≥ 3.5 mmol/l group and all significantly transfused patients were part of this group. These findings were in line with prehospital evaluation of POC fingertip lactate device, where pre-hospital blood lactate levels were associated with in-hospital mortality [14]. In this study, capillary lactate was performed by nurses from the emergency medical service and provided more prognostic information than vital signs alone. In our study, we confirmed that capillary lactate could be achieved by the nurse in charge of the patient. However, we found statistical association but failed to demonstrate sufficient accuracy to predict transfusion needs. Indeed, the AUC-ROC was low with a lower limit of its 95 % confidence interval close to 0.5. This result clearly affected the diagnostic performance of capillary lactate at the early phase of severe trauma. In a larger retrospective cohort, blood lactate had larger AUC to predict significant transfusion at hospital admission (0.76) but no 95 % confidence interval was provided [10] and lactate was measured on blood samples. Interestingly, the same group found that prehospital shock index might facilitate the early identification of patients at risk for massive transfusion [20]. In our cohort of patients receiving less transfusion, we reported similar diagnostic performance for serum lactate (AUC ROC = 0.77 to predict any transfusion) but we did not report good diagnostic performance of prehospital shock index with an AUC-ROC equal to 0.68 [95 % CI 0.51 – 0.85]. Taken together, these findings illustrate the need for reliable information to detect occult severe trauma in normotensive patients. Unfortunately, in our study, neither capillary lactate nor shock index had sufficient diagnostic performance to be considered pertinent in determining patients’ severity at hospital admission.
The poor predictive value of capillary lactate might be related to the poor agreement between this method and the serum blood lactate measurement since average bias between the two methods was 2.4 mmol/l. Considering normal lactate range from 0 to 3.5 mmol/l, such bias limits the usefulness of POC device. One explanation for this result may be extra-capillary contamination by sweat composition [21]. Under intense physical exercise, lactate could be measured on the skin surface and may overestimate capillary lactate value. As severe trauma often occurs during sport-related accident in our region [22], this type of contamination may be expected in our patients. Other explanation may be interferences between capillary lactate assessment and interstitial oedema due to fluid overloading [23]. However, total infused volume was low in our study according to the moderate severity of the patients.
We acknowledge several limitations of our study. First, the incidence of the primary outcome was too low to explore capillary lactate in patients that received at least six RBC units. Nevertheless, the incidence of four RBC transfusions was relatively high in our cohort (10 %). Moreover, a transfusion of four RBC units may be considered significant from the clinical standpoint since this quantity represents a total volume of one litre. Second, the sample size of the cohort is relatively small and the limited number of events should be considered when interpreting our results. However the lack of agreement between the POC fingertip device and the reference method is valuable and questions the relevancy of capillary lactate measurement device in daily practice. Third, standardized capillary lactate measurement were not performed by one dedicated nurse. Nevertheless, this study was meant to be pragmatic and POC devices should be practical enough to be generalized in the trauma bay independently of the executing nurse.

Conclusions

Capillary lactate was associated with transfusion requirements in normotensive trauma patients. However, we did not find sufficient accuracy of this technique for transfusion prediction at the bedside. The poor agreement between this device and the standard method may hinder the usefulness of capillary lactate in daily clinical practice. Despite encouraging statistical associations, capillary lactate may not add relevant information about occult severe bleeding in non-shocked trauma patients.

Acknowledgements

The authors thank Senan Doyle, PhD for English correction and Céline Genty, MSc for specific statistical analysis.

Authors’ contributions

PB, PM, CS, MV, JLB and JFP conceived the study and designed the trial. PB, CS, PM, JB and MV supervised the conduct of the trial and data collection. PB, CS, MV, JB and JFP undertook recruitment of the patients and managed the data. JLB, PB and JFP provided statistical advice on study design and analyzed the data. PB, CS, PM and JFP drafted the manuscript, and all authors contributed substantially to its revision. PB takes responsibility for the paper as a whole. All authors read and approved the final manuscript.

Competing interests

The author declares that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
2.
Zurück zum Zitat Leone M, Bechis C, Baumstarck K, Ouattara A, Collange O, Augustin P, et al. Outcome of acute mesenteric ischemia in the intensive care unit: a retrospective, multicenter study of 780 cases. Intensive Care Med. 2015;41:667–76.CrossRefPubMed Leone M, Bechis C, Baumstarck K, Ouattara A, Collange O, Augustin P, et al. Outcome of acute mesenteric ischemia in the intensive care unit: a retrospective, multicenter study of 780 cases. Intensive Care Med. 2015;41:667–76.CrossRefPubMed
3.
Zurück zum Zitat Davies AR, Bellomo R, Raman JS, Gutteridge GA, Buxton BF. High lactate predicts the failure of intraaortic balloon pumping after cardiac surgery. Ann Thorac Surg. 2001;71:1415–20.CrossRefPubMed Davies AR, Bellomo R, Raman JS, Gutteridge GA, Buxton BF. High lactate predicts the failure of intraaortic balloon pumping after cardiac surgery. Ann Thorac Surg. 2001;71:1415–20.CrossRefPubMed
4.
Zurück zum Zitat Choi JY, Lee WH, Yoo TK, Park I, Kim DW. A new severity predicting index for hemorrhagic shock using lactate concentration and peripheral perfusion in a rat model. Shock. 2012;38:635–41.CrossRefPubMed Choi JY, Lee WH, Yoo TK, Park I, Kim DW. A new severity predicting index for hemorrhagic shock using lactate concentration and peripheral perfusion in a rat model. Shock. 2012;38:635–41.CrossRefPubMed
5.
Zurück zum Zitat Moomey Jr CB, Melton SM, Croce MA, Fabian TC, Proctor KG. Prognostic value of blood lactate, base deficit, and oxygen-derived variables in an LD50 model of penetrating trauma. Crit Care Med. 1999;27:154–61.CrossRefPubMed Moomey Jr CB, Melton SM, Croce MA, Fabian TC, Proctor KG. Prognostic value of blood lactate, base deficit, and oxygen-derived variables in an LD50 model of penetrating trauma. Crit Care Med. 1999;27:154–61.CrossRefPubMed
6.
Zurück zum Zitat Rixen D, Raum M, Holzgraefe B, Sauerland S, Nagelschmidt M, Neugebauer EA, et al. A pig hemorrhagic shock model: oxygen debt and metabolic acidemia as indicators of severity. Shock. 2001;16:239–44.CrossRefPubMed Rixen D, Raum M, Holzgraefe B, Sauerland S, Nagelschmidt M, Neugebauer EA, et al. A pig hemorrhagic shock model: oxygen debt and metabolic acidemia as indicators of severity. Shock. 2001;16:239–44.CrossRefPubMed
7.
Zurück zum Zitat Manikis P, Jankowski S, Zhang H, Kahn RJ, Vincent JL. Correlation of serial blood lactate levels to organ failure and mortality after trauma. Am J Emerg Med. 1995;13:619–22.CrossRefPubMed Manikis P, Jankowski S, Zhang H, Kahn RJ, Vincent JL. Correlation of serial blood lactate levels to organ failure and mortality after trauma. Am J Emerg Med. 1995;13:619–22.CrossRefPubMed
8.
Zurück zum Zitat Regnier MA, Raux M, Le Manach Y, Asencio Y, Gaillard J, Devilliers C, et al. Prognostic significance of blood lactate and lactate clearance in trauma patients. Anesthesiology. 2012;117:1276–88.CrossRefPubMed Regnier MA, Raux M, Le Manach Y, Asencio Y, Gaillard J, Devilliers C, et al. Prognostic significance of blood lactate and lactate clearance in trauma patients. Anesthesiology. 2012;117:1276–88.CrossRefPubMed
9.
Zurück zum Zitat Olaussen A, Blackburn T, Mitra B, Fitzgerald M. Review article: shock index for prediction of critical bleeding post-trauma: a systematic review. Emerg Med Australas. 2014;26:223–8.CrossRefPubMed Olaussen A, Blackburn T, Mitra B, Fitzgerald M. Review article: shock index for prediction of critical bleeding post-trauma: a systematic review. Emerg Med Australas. 2014;26:223–8.CrossRefPubMed
10.
Zurück zum Zitat Vandromme MJ, Griffin RL, Weinberg JA, Rue 3rd LW, Kerby JD. Lactate is a better predictor than systolic blood pressure for determining blood requirement and mortality: could prehospital measures improve trauma triage? J Am Coll Surg. 2010;210:861–7. 7-9.CrossRefPubMed Vandromme MJ, Griffin RL, Weinberg JA, Rue 3rd LW, Kerby JD. Lactate is a better predictor than systolic blood pressure for determining blood requirement and mortality: could prehospital measures improve trauma triage? J Am Coll Surg. 2010;210:861–7. 7-9.CrossRefPubMed
11.
Zurück zum Zitat Paladino L, Sinert R, Wallace D, Anderson T, Yadav K, Zehtabchi S. The utility of base deficit and arterial lactate in differentiating major from minor injury in trauma patients with normal vital signs. Resuscitation. 2008;77:363–8.CrossRefPubMed Paladino L, Sinert R, Wallace D, Anderson T, Yadav K, Zehtabchi S. The utility of base deficit and arterial lactate in differentiating major from minor injury in trauma patients with normal vital signs. Resuscitation. 2008;77:363–8.CrossRefPubMed
12.
Zurück zum Zitat Callaway DW, Shapiro NI, Donnino MW, Baker C, Rosen CL. Serum lactate and base deficit as predictors of mortality in normotensive elderly blunt trauma patients. J Trauma. 2009;66:1040–4.CrossRefPubMed Callaway DW, Shapiro NI, Donnino MW, Baker C, Rosen CL. Serum lactate and base deficit as predictors of mortality in normotensive elderly blunt trauma patients. J Trauma. 2009;66:1040–4.CrossRefPubMed
13.
Zurück zum Zitat Gaieski DF, Drumheller BC, Goyal M, Fuchs BD, Shofer FS, Zogby K. Accuracy of Handheld Point-of-Care Fingertip Lactate Measurement in the Emergency Department. West J Emerg Med. 2013;14:58–62.CrossRefPubMedPubMedCentral Gaieski DF, Drumheller BC, Goyal M, Fuchs BD, Shofer FS, Zogby K. Accuracy of Handheld Point-of-Care Fingertip Lactate Measurement in the Emergency Department. West J Emerg Med. 2013;14:58–62.CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Jansen TC, van Bommel J, Mulder PG, Rommes JH, Schieveld SJ, Bakker J. The prognostic value of blood lactate levels relative to that of vital signs in the pre-hospital setting: a pilot study. Crit Care. 2008;12:R160.CrossRefPubMedPubMedCentral Jansen TC, van Bommel J, Mulder PG, Rommes JH, Schieveld SJ, Bakker J. The prognostic value of blood lactate levels relative to that of vital signs in the pre-hospital setting: a pilot study. Crit Care. 2008;12:R160.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Babaud J, Ridereau-Zins C, Bouhours G, Lebigot J, Le Gall R, Bertrais S, et al. Benefit of the Vittel criteria to determine the need for whole body scanning in a severe trauma patient. Diagn Interv Imaging. 2012;93:371–9.CrossRefPubMed Babaud J, Ridereau-Zins C, Bouhours G, Lebigot J, Le Gall R, Bertrais S, et al. Benefit of the Vittel criteria to determine the need for whole body scanning in a severe trauma patient. Diagn Interv Imaging. 2012;93:371–9.CrossRefPubMed
16.
Zurück zum Zitat Browning R, Datta D, Gray AJ, Graham C. Peripheral venous and arterial lactate agreement in septic patients in the emergency department: a pilot study. Eur J Emerg Med. 2014;21:139–41.CrossRefPubMed Browning R, Datta D, Gray AJ, Graham C. Peripheral venous and arterial lactate agreement in septic patients in the emergency department: a pilot study. Eur J Emerg Med. 2014;21:139–41.CrossRefPubMed
17.
Zurück zum Zitat Ray P, Le Manach Y, Riou B, Houle TT. Statistical evaluation of a biomarker. Anesthesiology. 2010;112:1023–40.CrossRefPubMed Ray P, Le Manach Y, Riou B, Houle TT. Statistical evaluation of a biomarker. Anesthesiology. 2010;112:1023–40.CrossRefPubMed
18.
Zurück zum Zitat Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–10.CrossRefPubMed Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–10.CrossRefPubMed
19.
Zurück zum Zitat Carstensen B. Comparing methods of measurement: Extending the LoA by regression. Stat Med. 2010;29:401–10.CrossRefPubMed Carstensen B. Comparing methods of measurement: Extending the LoA by regression. Stat Med. 2010;29:401–10.CrossRefPubMed
20.
Zurück zum Zitat Vandromme MJ, Griffin RL, Kerby JD, McGwin Jr G, Rue 3rd LW, Weinberg JA. Identifying risk for massive transfusion in the relatively normotensive patient: utility of the prehospital shock index. J Trauma. 2011;70:384–8. discussion 8–90.CrossRefPubMed Vandromme MJ, Griffin RL, Kerby JD, McGwin Jr G, Rue 3rd LW, Weinberg JA. Identifying risk for massive transfusion in the relatively normotensive patient: utility of the prehospital shock index. J Trauma. 2011;70:384–8. discussion 8–90.CrossRefPubMed
21.
Zurück zum Zitat Patterson MJ, Galloway SD, Nimmo MA. Variations in regional sweat composition in normal human males. Exp Physiol. 2000;85:869–75.CrossRefPubMed Patterson MJ, Galloway SD, Nimmo MA. Variations in regional sweat composition in normal human males. Exp Physiol. 2000;85:869–75.CrossRefPubMed
22.
Zurück zum Zitat Bouzat P, Ageron FX, Brun J, Levrat A, Berthet M, Rancurel E, et al. A regional trauma system to optimize the pre-hospital triage of trauma patients. Crit Care. 2015;19:111.CrossRefPubMedPubMedCentral Bouzat P, Ageron FX, Brun J, Levrat A, Berthet M, Rancurel E, et al. A regional trauma system to optimize the pre-hospital triage of trauma patients. Crit Care. 2015;19:111.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Ferasin L, Nguyenba TP. Comparison of canine capillary and jugular venous blood lactate concentrations determined by use of an enzymatic-amperometric bedside system. Am J Vet Res. 2008;69:208–11.CrossRefPubMed Ferasin L, Nguyenba TP. Comparison of canine capillary and jugular venous blood lactate concentrations determined by use of an enzymatic-amperometric bedside system. Am J Vet Res. 2008;69:208–11.CrossRefPubMed
Metadaten
Titel
Capillary lactate concentration on admission of normotensive trauma patients: a prospective study
verfasst von
Pierre Bouzat
Clotilde Schilte
Marc Vinclair
Pauline Manhes
Julien Brun
Jean-Luc Bosson
Jean-François Payen
Publikationsdatum
01.12.2016
Verlag
BioMed Central
DOI
https://doi.org/10.1186/s13049-016-0272-x

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