Can base excess and anion gap predict lactate level in diagnosis of septic shock?

Abstract

Background:

Lactate measurement is the key component in septic shock identification and resuscitation. However, point-of-care lactate testing is not widely used due to the lack of access to nearby test equipment. Biomarkers such as serum lactate, anion gap (AG), and base excess (BE) are used in determining shock in patients with seemingly normal vital signs.

Purpose:

We aimed to determine if these biomarkers can be used interchangeably in patients with septic shock in the emergency setting.

Patients and methods:

A prospective observational cohort study was undertaken at a tertiary hospital in southern Thailand. Baseline point-of-care BE, AG, and serum lactate were recorded in all patients presenting with septic shock at the emergency department. Overall correlations including area under the receiver operating characteristic curve (AUROC) for both BE and AG to predict serum lactate level were calculated.

Results:

One hundred and fifteen patients were enrolled. Pearson correlation of serum lactate to BE was -0.59 (r² = 0.35; 95% confidence interval [CI], -0.69 to -0.44; P < 0.001) and BE to AG was -0.67 (r² = 0.49; 95% CI, -0.76 to -0.55; P < 0.001), and serum lactate to AG was 0.64 (r² = 0.41; 95% CI, 0.52 to 0.74; P < 0.001). A cut-off point of 15.8 for AG identified a lactate level ࣙ2 mmol/L (sensitivity, 71.4%; specificity, 80.7%; and AUROC, 0.76), and the best cut-off value to predict a lactate level ࣙ4 mmol/L was 18.5 (sensitivity, 64.2%; specificity, 85.5%; and AUROC 0.78).

Conclusion:

In patients with septic shock, lactate and AG showed a strong correlation with each other, whereas lactate and BE showed a moderate correlation with each other. Thus, these biomarkers can be used interchangeably to help determine septic shock earlier in patients.

Keywords::

• base excess
• anion gap
• lactate
• septic shock

Introduction

Septic shock is a syndrome of pathologic, physiologic, and biochemical disturbances caused by infection, and it is a major public health concern worldwide.^1,2 The overall mortality rate and cost of treatment are high. Many techniques have been developed for the early detection of septic shock and prompt resuscitation.

Lactate is a key component in the diagnosis of septic shock because it is released from tissue in the hypoperfusion state before hypotension. Lactate-guided resuscitation decreased mortality in patients with septic shock compared to that of resuscitation without lactate monitoring³ or central venous oxygen saturation-oriented therapy.⁴ In 2016, the international consensus launched a new sepsis definition (Sepsis-3), which is composed of the sepsis condition, the need for a vasopressor to maintain a mean arterial pressure of ࣙ65 mmHg and a serum lactate level ࣙ2 mmol/L in the absence of hypovolemia.²

Besides the diagnosis, lactate is a biomarker of shock state, which indicates immediate fluid resuscitation. In the Surviving Sepsis Campaign 2012 and 2016, patients who have a serum lactate level ࣙ 4 mmol/L are identified as needing fluid resuscitation.^5,6 The resuscitation endpoint should be aimed at normalizing lactate.

However, point-of-care lactate measurement is not widely used due to the lack of access to close at hand investigation equipment especially in developing countries.^7,8 Other biomarkers usually tested from arterial blood gas in critically ill patients are anion gap (AG) and base excess (BE), which seem to be promising alternatives. Some evidence showed that BE correlated with an elevated lactate level in patients with sepsis⁹ and could predict mortality in patients with traumatic shock.¹⁰ A study revealed similar test characteristics among AG, BE, and lactate in traumatic shock.¹¹

The aims of the study were to determine if lactate, BE, and AG can be used interchangeably in patients with septic shock in the emergency setting based on the test characteristics and correlation with each other and to evaluate the best cut-off values of AG and BE to predict lactate levels of ࣙ2 and ࣙ4 mmol/L.

Patients and methods

Study design

This prospective cohort observational study was conducted from April to December 2016 in the emergency department of Songklanagarind Hospital, which is an 800-bed tertiary hospital in southern Thailand. The inclusion criteria were patients older than 18 years and with septic shock according to the 2001 task force definition¹² by emergency physicians. Septic shock was defined as a state of acute circulatory failure characterized by persistent arterial hypotension unexplained by other causes. Hypotension was defined as a systolic arterial pressure less than 90 mmHg, mean arterial pressure less than 60 mmHg, or a reduction in systolic blood pressure more than 40 mmHg from baseline, despite adequate volume resuscitation, in the absence of other cause of hypotension. Patients were excluded if they were younger than 18 years or have incomplete data. Two sets of blood samples were collected not more than 30 min apart. In the first set, lactate and BE samples were obtained from arterial blood using a disposable syringe (NIPRO Corporation Limited, Phra Nakhon Si Ayutthaya, Thailand) and then processed with a blood gas analyzer (ABL800 FLEX). In the second set, venous blood was drawn to detect electrolytes (sodium, chloride, and bicarbonate) and albumin using a spray-dried lithium-coated tube (VACUETTE, BIP, Bangkok, Thailand), which was analyzed in the central laboratory auto-analyzer (Cobas® 8000 modular analyzer, Roche Diagnostics, Indianapolis, IN, USA). The ethics committee of the Faculty of Medicine, Prince of Songkla University, waived the need for written informed consent as this was an observational study of data already collected during usual resuscitations. The protocol of this study was approved by the ethics committee of the Faculty of Medicine, Prince of Songkla University (EC number: 58-379-14-4).

Data

The baseline patient characteristics included age, sex, body weight, height, comorbidities, sources of infection, and conditions due to increased lactate level (ie, renal failure, liver failure, or medications). Data on hemodynamic parameters and other variables such as previous intravenous fluid, vasoactive agent, Sepsis-related Organ Failure Assessment (SOFA), hospital length of stay (LOS), days of mechanical ventilation, intensive care unit (ICU) LOS, ward LOS, in-hospital mortality, 28-day mortality, and the number of patients discharged home (Table 1) were obtained. Furthermore, other laboratory data were obtained, which included lactate level, BE, sodium (Na+), chloride (Cl-), bicarbonate (HCO₃-), and albumin. AG was calculated from the Na+-Cl--HCO₃-, and an albumin-corrected AG was calculated from the following formula: albumin-corrected AG = (4 - observed albumin) x 2.5 + AG.¹³

Table 1 Baseline characteristics of septic shock patients (n = 115)

Variables	n (%)
Male	70 (61)
Age (years), median (IQR)	66 (52–80)
BW (kg), median (IQR)	60 (54–65)
Height (cm), median (IQR)	166 (164.5–169)
Comorbidities
Hypertension	46 (40)
Malignancy	24 (20.9)
Diabetes mellitus	23 (20)
Ischemic heart disease	23 (20)
CKD	22 (19.1)
Cerebrovascular disease	7 (6.1)
Liver disease	5 (4.3)
Connective tissue disease	4 (3.5)
HIV/AIDs	3 (2.6)
Respiratory disease	3 (2.6)
Others	3 (2.6)
Source of infection
Respiratory disease	40 (34.8)
Urinary tract	20 (17.4)
Gastrointestinal tract	18 (15.7)
Skin and soft tissue	9 (7.8)
Hepatobiliary tract	6 (5.2)
Others	86 (74.8)
Positive blood cultures	32 (27.8)
Organisms identified in blood cultures
Escherichia coli	15 (46.8)
Staphylococcus aureus	4 (12.5)
Acinetobacter baumannii	3 (9.3)
Others	10 (31.2)
Hemodynamics during diagnosis septic shock
MAP (mmHg), median (IQR)	69 (62–70)
HR (bpm), median (IQR)	112 (103–122)
RR (bpm), median (IQR)	22 (22–28)
Previous IV fluid (mL), median (IQR)	2,000 (2,000–3,000)
Patients received vasoactive agent(s)^a	115 (100)
Norepinephrine dose (mg/kg/min), median (IQR)	0.2 (0.1–0.2)
SOFA, median (IQR)	9 (8–11)
LOS (days), median (IQR)	15 (8–24)
Mechanical ventilation (days), median (IQR)	4(2–8)
ICU LOS (day), median (IQR)	5 (2–10)
Ward LOS(day), median (IQR)	10 (3–17.5)
In-hospital mortality	51 (44.3)
28-day mortality	44 (38.3)
Discharged home	60 (52.2)

Notes: Data are presented as n (%) unless indicated otherwise. ^aAll patients received norepinephrine and one patient received both norepinephrine and dopamine.

Abbreviations: IQR, interquartile range; BW, body weight; CKD, chronic kidney disease; HIV/AIDS, human immunodeficiency virus/acquired immunodeficiency syndrome; MAP, mean arterial pressure; HR, heart rate; RR, respiratory rate; IV, intravenous; ICU, intensive care unit; LOS, length of stay; SOFA, Sepsis-related Organ Failure Assessment.

Endpoints

The primary objective of this study was to determine if correlations are present among the biomarkers of AG, BE, and lactate level in patients with septic shock. The secondary endpoint was to determine the test characteristics of AG and BE to predict a serum lactate level ࣙ2 mmol/L and a lactate level ࣙ4 mmol/L.

Statistical analysis

Categorical data were presented as percentages. Continuous data were presented as mean ± SD or median with minimum and maximum, interquartile range (IQR) depending on the distribution of the data. The data were tested for normality using the KolmogorovߝSmirnov goodness-of-fit test. Correlations of biomarkers were analyzed using the Pearson correlation. Test characteristics (sensitivity, specificity, positive predictive value, negative predictive value, and likelihood ratios) were analyzed using the receiver operating characteristic curve (ROC) to find the best cut-off points of AG and BE and predict a serum lactate level ࣙ2 mmol/L and lactate level ࣙ4 mmol/L. The area under the receiver operating characteristic curve (AUROC) for each cut-off point was also calculated. All statistical analyses were performed with R software version 3.3.1 (R Foundation for Statistical Computing, Vienna, Austria).

Results

Sample and measures

We enrolled a total of 115 patients with septic shock. The median age was 66 years (IQR, 52ߝ80 years), and 61% were men. About 35% of the septic shock patients had pneumonia. The median SOFA score was 9 (IQR, 8ߝ11). In-hospital mortality was about 44% and 28-day mortality was about 38%. Approximately half of the septic patients were discharged home (Table 1). The median lactate level was 3.5 mmol/L (IQR, 1.7ߝ6.2), the mean serum BE was -8.3 (SD ± 6.7), and the median AG was 16.7 (IQR, 14.2ߝ22.1; Table 2).

Table 2 Biomarkers

Parameters	Mean (SD)
Lactate level (mmol/L), median (IQR)	3.5 (1.7–6.2)
SBE	-8.3 (6.7)
Sodium level (mEq/L)	137.2 (6.6)
Chloride level (mEq/L)	99.9 (7.8)
Bicarbonate level (mEq/L)	18.7 (5.6)
Albumin (g/dL) (mEq/L)	2.7 (0.7)
AG^a, median (IQR)	16.7 (14.2–22.1)
Albumin-corrected AG^b, median (IQR)	17.2 (14.7–22.3)
Positive urine ketones^c, n (%)	10 (8.7)

Notes: Data are presented as mean (SD) unless indicated otherwise. ^aAG values were calculated by (Na+-Cl^–-HCO₃^–). ^bAlbumin-corrected AG values were calculated by ([4 - albumin] × 2.5 + AG). ^cUrine ketones were measured in 83 patients. Only two patients had serum ketones measured, and the results were positive.

Abbreviations: AG, anion gap; IQR, interquartile range; SBE, standard base excess.

Endpoints

The results for the primary endpoints showed a strong correlation between the AG and lactate and a moderate correlation between the BE and lactate. The Pearson correlation of serum lactate to BE was -0.59 (r² = 0.35; 95% confidence interval [CI], -0.69 to -0.44; P < 0.001), BE to AG was -0.67 (r² = 0.49; 95% CI, -0.76 to -0.55; P < 0.001), and the correlation of serum lactate to AG was 0.64 (r² = 0.41; 95% CI, 0.52 to 0.74; P < 0.001). In addition, the corrected AG showed a seemingly good correlation with lactate that was the same with the correlation between the AG and lactate, which was 0.64 (r² = 0.41; 95% CI, 0.52 to 0.74; P < 0.001; Figure 1). The results for the secondary endpoints showed a cut-off point of 15.8 for AG, which identified a lactate level ࣙ2 mmol/L (sensitivity, 71.4%; specificity, 80.7%; AUROC, 0.76), and the best cut-off value to predict a lactate level ࣙ4 mmol/L was 18.5 (sensitivity, 64.2%; specificity, 85.5%; AUROC, 0.78; Figure 2).

Figure 1 (AߝC) Correlation of serum lactate to BE, AG, and corrected AG.

Abbreviations: AG, anion gap; BE, base excess.

Figure 2 (AߝD) ROC curves of AG and BE for prediction of lactate level ࣙ2 and ࣙ4 mmol/L.

Abbreviations: AG, anion gap; AUC, area under the curve; BE, base excess; ROC, receiver operating characteristic; Sens, sensitivity; Spec, specificity.

Discussion

Our data indicated strong correlations across biomarkers in patients with septic shock in the emergency department. The AG and lactate showed a strong correlation with each other, whereas the BE and lactate showed a moderate correlation.

In patients with sepsis and septic shock, high AG metabolic acidosis is the dominant pattern of arterial blood gas.¹⁴ A previous study showed that an elevated AG had moderate sensitivity and specificity to detect elevated lactate in emergency patients at risk for sepsis.¹⁵ However, some studies reported that AG was insensitive for the presence of lactic acidosis in the emergency department setting.^16,17

BE is defined as the amount of strong acid that must be added to each liter of fully oxygenated blood to return the pH to 7.40 at a temperature of 37°C and a pCO₂ of 40 mmHg (5.3 kPa).¹⁸

In the previous study, evidence indicated that either BE or lactate, or a combination of the 2, may be used to predict the outcome in ICU-admitted patients.¹⁹ Montassier et al reported that a BE less than -4 mmol/L predicted a lactate level greater than 3 mmol/L with good sensitivity and specificity. In our study, we found that the AG and lactate showed a strong correlation with each other, whereas the BE and lactate showed a moderate correlation. One possible explanation is that in critically ill septic patients, there are many acid components (eg, lactic acidosis, ketoacidosis, and uremia) in which lactic acidosis was the primary component. Thus, a high AG reflected well with elevated lactate level. Another explanation is that the AG was calculated using direct measurement parameters from the central laboratory auto-analyzer, which were accurate. On the other hand, BE was calculated using parameters that were dependent on many variables in the arterial blood gas results. In addition, there is not much evidence on the correlation of BE with lactate level in patients with sepsis, and the evidence was found mostly in traumatic shock patients.

The best cut-off values for the AG were 15.8 and 18.5, which identified lactate levels of ࣙ2 and ࣙ 4 mmol/L, respectively. This is the first study in the new Sepsis-3 definition era using the lactate level in correlation with clinical data in the diagnosis of sepsis. A previous study reported that an AG more than 12 predicted the lactate level greater than 4 mmol/L,¹⁵ but this level had poor prediction in another study.²⁰ The population and blood gas analyzer tools should be a concern when a comparison is made between studies.

Traditionally, arterial blood lactate level is used as the standard method for lactate measurement. Venous lactate is highly correlated with arterial lactate,^21,22 but the agreement was poor when lactate levels were higher than 4 mmol/L.²² Theerawit et al²² suggested not to use the venous value as a substitute for the arterial measurement in sepsis regarding the absolute value. The point-of-care lactate measurement has good accuracy in patients with sepsis²³ and has been recommended in resource poor settings.²⁴ However, it is not widely used in many developing countries.

Zampieri et al²⁵ reported on the associations between acidߝbase variables, specifically strong ion gap (SIG) with immunological activation. On the contrary, Ho et al²⁶ showed in more than 6,800 patients that SIG was of modest prognostic significance in the critically ill, whereas lactate concentration was most important when comparing SIG with other acidߝbase markers. However, SIG is composed of many cations and anions that are not routinely checked in the initial blood sample, especially in rural areas.

We found that some patients (31/115, 27%) developed septic shock despite lactate levels less than 2 mmol/L. According to the Vasopressin in Septic Shock Trial, some patients with sepsis had a normal lactate range.²⁷ The results showed that patients who had a lactate level in the normal range (ie, 1.4ߝ2.3 mmol/L) had significantly increased mortality and organ dysfunction compared with patients who had a lactate level ࣘ1.4 mmol/L. Furthermore, mortality was not different between patients with serum lactate levels of 1.4ߝ2.3 mmol/L and 2.3ߝ4.4 mmol/L. The possibility of a normal lactate in a patient with sepsis may be explained by a less severe disease that had minimal or no end-organ failure.

The strength of this study is the use of many biomarkers to predict the lactate level in patients with septic shock. The results can be applied in developing countries and remote hospitals that lack instruments for point-of-care lactate measurement. However, sepsis is a dynamic process where clinicians should incorporate clinical data with laboratory data. Only a single AG or BE measurement may interfere with therapeutic interventions that can affect the patientsߣ conditions and underlying diseases.²⁸

This study has several limitations. First, the sample size in our study was limited due to the single-center observational study design. Second, we did not clearly identify underlying diseases that could cause a high AG and elevated lactate levels such as renal failure, intoxication, and ketoacidosis. Furthermore, a sensitivity analysis of all confounders that could cause an elevated lactate level was not performed. Third, the arterial blood gas analyzers may be different in other institutions. However, the variation was assumed to be low according to the machine calibration.²⁹ Fourth, we did not design the study to find any association of these biomarkers other than lactate that correlated with mortality. In addition, we found that AG had a greater turnaround time compared with BE due to the availability of the measurement machine.

Conclusion

In conclusion, we demonstrated that in patients with septic shock, lactate and AG showed a strong correlation with each other, whereas lactate and BE showed a moderate correlation with each other. Thus, these biomarkers can be used interchangeably to help in the early determination of septic shock, and the physician should be on high alert for evaluation in septic patients with a high AG. The results showed that cut-off points of AG of 15.8 and 18.5 can be used to predict a serum lactate level greater than 2 and 4 mmol/L, respectively.

Author contributions

All authors contributed toward data analysis, drafting and revisiting the paper and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

Acknowledgments

The authors are grateful to the International Affairs Department, Faculty of Medicine, Prince of Songkla University for the language correction services. This study was supported by a research grant of the Faculty of Medicine, Prince of Songkla University. The abstract of this article was presented at the Sepsis 2017, Paris, France, September 11ߝ13, 2017 as a poster presentation with interim findings. The posterߣs abstract was published in “Poster Abstracts” in Intensive Care Medicine Experimental 2017;5(Suppl 1):37; doi: 10.1186/s40635-017-0149-y.