Elevated lactate level predicts intensive care unit admissions, endoscopies and transfusions in patients with acute gastrointestinal bleeding.

BACKGROUND AND AIMS: Initial clinical management decision in patients with acute gastrointestinal bleeding (GIB) is often based on identifying high- and low-risk patients. Little is known about the role of lactate measurement in the triage of patients with acute GIB. We intended to assess if lactate on presentation is predictive of need for intervention in patients with acute GIB. PATIENTS AND METHODS: We performed a single-center, retrospective, cross-sectional study including patients ≥18 years old presenting to emergency with acute GIB between January 2014 and December 2014. Intensive care unit (ICU) admission, inpatient endoscopy (upper endoscopy and/or colonoscopy), and packed red blood cell (PRBC) transfusion were assessed as outcomes. Analyses included univariate and multivariate logistic regression analyses.
RESULTS: Of 1,237 patients with acute GIB, 468 (37.8%) had venous lactate on presentation. Of these patients, 165 (35.2%) had an elevated lactate level (>2.0 mmol/L). Patients with an elevated lactate level were more likely to be admitted to ICU than patients with a normal lactate level (adjusted odds ratio [AOR] 2.96, 95% confidence interval [CI] 1.74-5.01; p<0.001). Patients with an elevated lactate level were more likely to receive PRBC transfusion (AOR 3.65, 95% CI 1.76-7.55; p<0.001) and endoscopy (AOR 1.64, 95% CI 1.02-2.65; p=0.04) than patients with a normal lactate level.
CONCLUSION: Elevated lactate level predicts the need for ICU admissions, transfusions, and endoscopies in patients with acute GIB. Lactate measurement may be a useful adjunctive test in the triage of patients with acute GIB.

Introduction

Acute gastrointestinal bleeding (GIB) is a common medical emergency with significant morbidity, mortality, and cost. In 2012, GIB accounted for >500,000 US hospital discharges, 27,732 deaths, and a cost of ~$5 billion dollars.1 Appropriate risk stratification of these patients can reduce resource utilization and costs without adversely affecting patient outcomes.2

Initial clinical management decision in patients presenting to emergency department (ED) with acute GIB is often based on identifying high- and low-risk patients. Patients with high risks of adverse outcomes, such as death or rebleeding, are more likely to benefit from early, aggressive management, whereas patients with lower risks may be considered for early hospital discharge or even outpatient management.3–7 Various risk-scoring systems, both for upper and lower GIB, have been developed to identify high-risk patients.5–12 These scoring systems are based on clinical, laboratory, and endoscopic findings. Emergent endoscopy and, therefore, endoscopic findings are often unavailable at the time of initial assessment. Therefore, risk-scoring systems based on clinical and laboratory parameters may be more useful to a clinician at the time of initial assessment. Patient demographic characteristics, medical history, comorbidities, use of certain medications, and clinical and laboratory findings on presentation have been found to predict the severity of acute GIB in prior studies.3–13

Venous lactate is predictive of the severity of illness and risk of mortality in patients with sepsis.14,15 A few studies have evaluated the role of initial venous lactate in predicting outcomes in patients with acute GIB.16–19 This study was designed to assess whether venous lactate on presentation was predictive of need for intervention in patients with acute GIB.

Patients and methods

A retrospective cross-sectional study was performed including patients ≥18 years old who presented to ED of Banner University Medical Center Tucson at the Main Campus (479 beds) and South Campus (161 beds) with acute GIB between January 2014 and December 2014. Patients were identified from the ED encounter database using International Classification of Diseases, Ninth Revision (ICD-9) codes representing acute GIB (Table S1). Similar diagnostic codes have been used in prior studies to identify patients with GIB.7,11 Patients without venous lactate on presentation were excluded.

Patient’s demographic information, medical history, and clinical and laboratory data were collected from the clinical data warehouse (CDW). The CDW is the University of Arizona Health Sciences’ centralized, standardized, integrated repository of data, which includes data extracted from the electronic health record (EHR) of Banner University Medical Center Tucson. Study data were collected and managed using Research Electronic Data Capture (REDCap), an electronic data capture tool hosted at the University of Arizona.20

Patient characteristics included age, gender, ethnicity, language, insurance status, and comorbidities as described by the Charlson Comorbidity Index.21 Other clinical and laboratory variables included history of prior GIB, history of alcohol use, history of smoking, use of nonsteroidal anti-inflammatory drug (NSAID), use of aspirin, use of anticoagulant, presentation with syncope, bright red blood per rectum, melena, abdominal pain, hematemesis, altered mental status, ascites, initial heart rate and systolic blood pressure, initial hemoglobin, platelet count, prothrombin time as international normalized ratio (INR), creatinine, and venous lactate. Additionally, we collected data on time of presentation, day of presentation, and month of presentation. The range of normal venous lactate level was 0.5–2.0 mmol/L. Accordingly the venous lactate was predefined as normal (0.5–2.0 mmol/L) or elevated (>2.0 mmol/L).

Intensive care unit (ICU) admission, inpatient endoscopy (upper endoscopy and/or colonoscopy), and packed red blood cell (PRBC) transfusion (transfusion of at least a unit of PRBC) were assessed as outcomes (categorical outcome variables). Two groups were also compared for any difference in the length of hospital stay.

The data accessed were de-identified and did not require patient informed consent to access. The study was approved by the University of Arizona Institutional Review Board (protocol number: 1612054091).

Statistics

Univariate analysis was used to compare the outcomes and the study variables for the groups (patients who had normal vs elevated venous lactate level). All comparisons were unpaired, and tests of significance were two tailed. Continuous variables were compared using the Mann–Whitney U test and categorical variables using the chi-square test or Fisher’s exact test, where applicable. Multivariate logistic regression analysis was performed for the dependent categorical outcome variables using the variable venous lactate as the predictor of interest and other factors predictive of the severity of acute GIB in prior studies as covariates. The adjusted odds ratios (AORs), 95% confidence intervals (CIs), and p-values were reported for the variable venous lactate. We assessed the discriminative property of the predictive models by estimating their area under the receiver operating characteristic (ROC) curve. We also compared the length of hospital stay between the groups using multivariate linear regression analysis. The mean difference, 95% CI, and p-value were reported for the variable venous lactate.

The statistical analysis was performed using the statistical software package Stata, version 12 (StataCorp LP, College Station, TX, USA).

Results

A total of 1,237 patients with acute GIB were identified, 804 (65.0%) from Main Campus and 433 (35.0%) from South Campus. In all, 769 patients who did not have venous lactate on presentation were excluded. In the final analysis, there were 468 patients with an elevated lactate level in 165 (35.3%) patients.

Of this study population, the median age was 59.5 years and 46.6% were females. Most patients were Caucasian (54.5%) or Hispanic (32.3%), and almost all patients were English-speaking (91.0%). The type of health insurance included Medicare (49.4), Medicaid (33.1%), private (13.5%), and no insurance (4.0%). Median Charlson Comorbidity Index score was 3 (Table 1).

Table 1

Study population characteristics at initial presentation, including demographics and history variables (univariate analysis)

Population characteristics	Total population (N=468)	Patents who had normal initial venous lactatea (n=303, 64.7%)	Patients who had elevated initial venous lactateb (n=165, 35.3%)	p-valuec
Age, median (IQR), years	59.5 (47–71)	62 (47–74)	55 (46–67)	0.01
Gender, n (%)				<0.001
Male	250 (53.4)	143 (47.2)	107 (64.8)
Female	218 (46.6)	160 (52.8)	58 (35.2)
Ethnicity/race, n (%)				0.89
Caucasian	255 (54.5)	163 (53.8)	92 (55.7)
Hispanic	151 (32.3)	100 (33.0)	51 (30.9)
African-American	25 (5.3)	15 (4.9)	10 (6.1)
Other	37 (7.9)	25 (8.3)	12 (7.3)
Language, n (%)				0.06
English	426 (91.0)	269 (88.8)	157 (95.2)
Spanish	34 (7.3)	28 (9.2)	6 (3.6)
Other	8 (1.7)	6 (1.9)	2 (1.2)
Insurance, n (%)				0.003
Medicare	231 (49.4)	168 (55.4)	63 (38.2)
Medicaid	155 (33.1)	86 (28.4)	69 (41.8)
Private	63 (13.5)	39 (12.9)	24 (14.5)
Uninsured	19 (4.0)	10 (3.3)	9 (5.5)
History of prior GIB, n (%)	98 (20.9)	59 (19.5)	39 (23.6)	0.29
History of alcohol use, n (%)	276 (58.9)	202 (66.7)	74 (44.8)	<0.001
History of smoking, n (%)	126 (26.9)	88 (29.0)	38 (23.0)	0.16
History of NSAID use, n (%)	84 (17.9)	54 (17.8)	30 (18.2)	0.92
Use of anticoagulant, n (%)	48 (10.3)	29 (9.6)	19 (11.5)	0.51
Use of aspirin, n (%)	112 (23.9)	78 (25.7)	34 (20.6)	0.21
Charlson comorbidity index, median (IQR)	3 (1–5)	3 (1–5)	4 (1–5)	0.47

Notes:

Normal venous lactate range 0.5–2.0 mmol/L.

Elevated venous lactate >2.0 mmol/L.

p-values cited compare patients with normal and elevated venous lactate on presentation. Bold values signify statistically significant p-values.

Abbreviations: IQR, interquartile range; GIB, gastrointestinal bleeding; NSAID, nonsteroidal anti-inflammatory drug.

A total of 128 (27.3%) patients were admitted to ICU. Inpatient endoscopy was performed on 167 (35.7%) patients. A total of 171 (36.5%) patients received transfusion. Median length of hospital stay was 3 days (Table 2).

Table 2

Study population characteristics at initial presentation, including clinical features, laboratory values, time of presentation, and outcome variables (univariate analysis)

Population characteristics	Total population (N=468)	Patients who had normal initial venous lactatea (n=303, 64.7%)	Patients who had elevated initial venous lactateb (n=165, 35.3%)	p-valuec
Syncope, n (%)	11 (2.3)	6 (1.9)	5 (3.0)	0.53
Bright red blood per rectum, n (%)	73 (15.6)	55 (18.1)	18 (10.9)	0.04
Hematemesis, n (%)	82 (17.5)	40 (13.2)	42 (25.4)	0.001
Abdominal pain, n (%)	128 (27.3)	101 (33.3)	27 (16.3)	<0.001
Altered mental status, n (%)	13 (2.8)	4 (1.3)	9 (5.4)	0.01
Ascites, n (%)	41 (8.7)	16 (5.3)	25 (15.1)	<0.001
Heart rate, median (IQR), per minute	76 (67–86)	75 (67–85)	78 (68–90)	0.09
Systolic blood pressure, median (IQR), mmHg	122 (110–137)	122 (110–138)	121 (109–135)	0.39
Hemoglobin, median (IQR), g/dL	11.3 (8.8–13.6)	11.6 (9.1–13.8)	10.6 (8.3–13.1)	0.02
Platelet count, median (IQR), ×109/L	215 (157–293)	225 (168–299)	188 (126–287)	0.01
INR, median (IQR)	1.1 (1–1.5)	1.1 (1.0–1.3)	1.2 (1.1–1.7)	<0.001
Creatinine, median (IQR), mg/dL	0.9 (0.8–1.3)	0.9 (0.8–1.2)	1.0 (0.8–1.5)	0.003
Presentation during daytime (7 am–7 pm), n (%)	334 (71.4)	211 (69.6)	123 (74.5)	0.26
ICU admission, n (%)	128 (27.3)	59 (19.5)	69 (41.8)	<0.001
Endoscopy, n (%)	167 (35.7)	87 (28.7)	80 (48.5)	<0.001
Medical therapy, n (%)	366 (78.2)	220 (72.6)	146 (88.5)	<0.001
PRBC transfusion, n (%)	171 (36.5)	90 (29.7)	81 (49.1)	<0.001
Length of hospital stay, median (IQR), days	3 (2–6)	3 (1–5)	4 (2–8)	<0.001

Notes:

Normal venous lactate range 0.5–2.0 mmol/L.

Elevated venous lactate >2.0 mmol/L.

p-values cited compare patients with normal and elevated venous lactate on presentation. Bold values signify statistically significant p-values.

Abbreviations: IQR, interquartile range; INR, international normalized ratio; ICU, intensive care unit; PRBC, packed red blood cell.

Univariate analysis revealed no significant differences in regard to ethnicity, language, Charlson Comorbidity Index, history of prior GIB, history of smoking, use of NSAID, use of aspirin, and use of anticoagulant between the two groups. Patients with an elevated lactate level were younger and were less likely to have a history of alcohol use than patients with a normal lactate level. The two groups differed in regard to gender and insurance status (Table 1).

The two groups did not differ in regard to the initial heart rate, systolic blood pressure, presentation with syncope, and time, day, or month of presentation. Patients with an elevated lactate level were more likely to present with hematemesis, altered mental status, and ascites than patients with a normal lactate level. Compared to patients with a normal lactate level, patients with an elevated lactate level had lower hemoglobin and platelet count and higher INR and creatinine. Patients with an elevated lactate level were more likely to be admitted to ICU and receive transfusion and endoscopy than patients with a normal lactate level. The median length of hospital stay was significantly higher in patients with an elevated lactate level than in those with a normal lactate level (4 vs 3 days; p<0.001; Table 2).

Multivariate analysis

Multivariate logistic regression analysis identified venous lactate as a significant predictor of ICU admission, inpatient endoscopy, and PRBC transfusion. Patients with an elevated lactate level were more likely to be admitted to ICU than patients with a normal lactate level (AOR 2.96, 95% CI 1.74–5.01; p<0.001). Patients with an elevated lactate level were more likely to receive PRBC transfusion (AOR 3.65, 95% CI 1.76–7.55; p<0.001) and endoscopy (AOR 1.64, 95% CI 1.02–2.65; p=0.04) than patients with a normal lactate level (Table 3). The ROC areas for predicting ICU admission and endoscopy were 0.80 (95% CI 0.75–0.85; Figure 1) and 0.79 (95% CI 0.75–0.83; Figure 2), respectively.

Table 3

AOR of elevated initial venous lactate for outcome variables in patients with acute GIB

Outcome	AOR	95% CI; p-value
ICU admission	2.96	1.74–5.01; <0.001
Inpatient endoscopy	1.64	1.02–2.65; 0.04
PRBC transfusion	3.65	1.76–7.55; <0.001

Notes: Multivariate logistic regression model included elevated initial venous lactate (>2.0 mmol/L) as the predictor of interest. Other variables in the analysis included age, gender, ethnicity, smoking, alcohol use, use of NSAID, use of aspirin, Charlson Comorbidity Index, presentation with syncope, bright red blood per rectum, abdominal pain, hematemesis, altered mental status, ascites, initial heart rate and systolic blood pressure, initial hemoglobin, platelet count, prothrombin time as INR, and creatinine.

Abbreviations: AOR, adjusted odds ratio; GIB, gastrointestinal bleeding; CI, confidence interval; ICU, intensive care unit; PRBC, packed red blood cell; NSAID, nonsteroidal anti-inflammatory drug; INR, international normalized ratio.

Figure 1

Area under the ROC curve of predictive model for ICU admission.

Abbreviations: ROC, receiver operating characteristic; ICU, intensive care unit.

Figure 2

Area under the ROC curve of predictive model for inpatient endoscopy.

Abbreviation: ROC, receiver operating characteristic.

Multivariate linear regression analysis revealed significant difference in the length of hospital stay between the two groups (mean difference=1.37, 95% CI 0.12–2.63; p=0.03).

Discussion

We found that an elevated lactate level on presentation was an independent predictor of ICU admission, inpatient endoscopy, and PRBC transfusion in patients with acute GIB. These findings suggest that a single venous blood lactate measurement provides clinically useful information in patients with acute GIB and support the use of venous lactate measurement in the initial clinical management decision.

Prior studies have reported prognostic use of lactate measurement in predicting active bleeding or mortality in patients with acute GIB.16–19 Our study evaluated the usefulness of lactate measurement on resource utilizations (eg, ICU admission, length of hospital stay) and other patient-oriented outcomes (eg, need for transfusion and endoscopy) in patients with acute GIB. Identifying patients who need clinical treatment may be more important than identifying patients at risk for death as proper treatment can prevent complications and deaths.10 With increasingly limited health care resources, there has been a growing interest in cost-saving measures. Longer length of hospital stay, ICU admission, endoscopy, and PRBC transfusion have been recognized as key cost drivers in patients with acute GIB.9,22

We found that patients with an elevated lactate level on presentation were more likely to require ICU admission, transfusion, and inpatient endoscopy than patients with a normal lactate level. These findings are perhaps not surprising as an elevated lactate level in the setting of GIB is often associated with poor outcomes. Prior studies have reported increased mortality associated with an elevated lactate level in patients with acute GIB.16–18 Wada et al19 found that low lactate clearance was associated with an increased risk of active bleeding in patients with upper GIB. Active bleeding could partly explain higher rates of ICU admissions, transfusions, and endoscopies in patients with an elevated lactate level.

The findings of our study have important implications. Venous lactate measurement in conjunction with other prognostic factors may assist clinicians with prompt recognition of high-risk patients who require early, aggressive interventions, such as ICU admissions, emergent endoscopies, and transfusions. Early recognition of such patients may prevent poor outcomes. Conversely, low-risk patients with a normal lactate level may be considered for general medical floor admission or even early hospital discharge for outpatient management. Enhanced accuracy in triage can potentially lead to more efficient use of hospital resources, ultimately reducing cost and improving patient outcomes.2,23,24

Our study has several strengths. First, our study population was fairly large, ethnically diverse, and represented an urban US population. We believe that the findings of our study are likely applicable to other urban US tertiary hospitals. Second, we adjusted for several important demographic and clinical risk factors in our multivariate analysis to minimize confounding. Third, we analyzed the association of venous lactate with several clinically relevant outcomes in patients with acute GIB.

Our study has several limitations. A large subset of patients was excluded due to absence of ED venous lactate measurements, which could have caused selection bias. It is possible that clinicians are more likely to obtain venous lactate measurements in more severely ill patients than stable patients. Our study findings therefore may not be applicable to patients with acute GIB in general. Owing to the retrospective nature of our study, we did not evaluate the effectiveness of initial treatment measures on clinical parameters (eg, serial hematocrit, lactate clearance, repeat hemodynamic parameters), and these factors may have affected the outcomes (eg, ICU admission, inpatient endoscopy). In addition, we were unable to measure time from the onset of GIB to the venous lactate collection, which may limit interpretation of our data. We did not stratify our analysis based on the source of bleeding, as there was uncertainty in differentiating the source of bleeding based on the initial clinical findings. Furthermore, endoscopic findings were unavailable for the majority of the patients. However, a prior study found no significant difference in the distribution of upper and lower gastrointestinal sources between the low-risk and high-risk patients.4 Lastly, in contrast to previous studies among patients with acute upper GIB,25,26 endoscopy rate was lower in our study. Limited data exist on the utilization of colonoscopy in patients with acute lower GIB. Our study included patients with acute lower GIB, which may partly explain the lower endoscopy rate in our study. Another potential reason for the lower endoscopy rate could be the overdiagnosis of patients with acute GIB in our study. We utilized ED encounter database to identify patients with acute GIB. The ED diagnosis was mostly based on subjective complaint and objective data; rectal examination findings or endoscopic findings were missing in the majority of patients.

Conclusion

Elevated venous lactate on presentation predicts the need for ICU admission, transfusion, and endoscopy in patients with acute GIB. Our findings suggest that venous lactate measurement may be a useful adjunctive test in the triage of patients with acute GIB. Further prospective studies are needed to validate these findings.

Table S1

Diagnoses and corresponding ICD-9 codes to identify patients with acute GIB

Diagnosis	ICD-9 code
Diverticulosis or diverticulitis of the colon with hemorrhage	562.12, 562.13
Angiodysplasia of the intestine with hemorrhage	569.85
Hemorrhage of the rectum and anus	569.3
Internal, external, or unspecified hemorrhoids with bleeding	455.2, 455.5, 455.8
Hematemesis	578.0
Hemorrhage of the gastrointestinal tract site unspecified	578.9
Blood in stool or melena	578.1
Esophageal varices with hemorrhage	456.0, 456.20
Ulcer of esophagus with bleeding	530.21
Esophageal hemorrhage unspecified	530.82
Duodenitis with hemorrhage	535.61
Gastritis with hemorrhage	535.01
Mallory–Weiss tear	530.7
Gastric ulcer, acute with hemorrhage±perforation	531.0, 531.2
Duodenal ulcer, acute with hemorrhage±perforation	532.0, 532.2
Peptic ulcer, acute with hemorrhage±perforation	533.0, 533.2
Gastrojejunal ulcer, acute with hemorrhage±perforation	534.0, 534.2
Angiodysplasia of the stomach or duodenum with hemorrhage	537.83
Diverticulosis or diverticulitis of the small intestine with hemorrhage	562.02, 562.03

Abbreviations: ICD-9, International Classification of Diseases, Ninth Revision; GIB, gastrointestinal bleeding.