Initially elevated arterial lactate as an independent predictor of poor outcomes in severe acute pancreatitis

Associations of serum lactate and lactate clearance with delirium in the early stage of ICU: a retrospective cohort study of the MIMIC-IV database

Aim

This study aimed to investigate the associations of serum lactate level [within and after 24 h of the intensive care unit (ICU) admission] and lactate clearance rate with delirium and assess associations of lactate and lactate clearance rate with 30-day mortality in delirium patients.

Methods

Data in this retrospective cohort study were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database in 2012-2019. The associations of lactate and lactate clearance rate with delirium were explored through univariable and multivariable logistic regression analyses, whereas the associations of lactate and lactate clearance rate with 30-day mortality in delirium patients were investigated using univariable and multivariable Cox regression analyses. Subgroup analysis was performed for age, gender, sepsis, hypertension, sedative drug, ventilation, antibiotic drug, vasopressors, and the Sequential Organ Failure Assessment (SOFA) score. The evaluation indexes were odds ratios (ORs), hazard ratios (HRs), and 95% confidence intervals (CIs).

Results

Among 7,812 (14.58%) eligible participants, 4,338 (8.19%) had delirium and 1,903 (24.36%) died within 30 days. After adjusting for covariates, patients with lactic acidosis (lactate level > 5 mmol/L and PH < 7.35) at T0 (within 24 h of the ICU admission) had higher odds of delirium (OR = 1.235, 95%CI: 1.105-1.382). Hyperlactatemia (lactate level 2-5 mmol/L and PH > 7.35) at T1 (after 24 h of the ICU admission) was also associated with higher odds of delirium (OR = 1.277, 95%CI: 1.126-1.447). Lactate clearance rate > 50% was linked to lower odds of delirium (OR = 0.705, 95%CI: 0.613-0.811), and this relationship was also observed in ≥65 years old, female, male, non-sepsis, sepsis, non-hypertension, non-sedative drug use, sedative drug use, ventilation, antibiotic drug use, use of vasopressors, and different SOFA score subgroups (all p < 0.05). Additionally, hyperlactatemia and lactic acidosis (whether at T0 or T1) may be potential risk factors for 30-day mortality in delirium patients, whereas lactate clearance rate ≥ 0 had a potential protective effect on 30-day mortality (all p < 0.05).

Conclusion

Higher serum lactate levels in the early stage of the ICU were associated with a higher risk of delirium and subsequent mortality. Measures taken to increase the lactate clearance rate are necessary to reduce potential delirium or mortality risk in clinical settings. However, more evidence from prospective studies is needed to verify these findings.

Serum Lactate Is an Indicator for Short-Term and Long-Term Mortality in Patients with Acute Pancreatitis

BACKGROUND

Serum lactate, as a single and an easily available biomarker, has been applied in various diseases.

AIMS

In this study, we aimed to explore the predictive value of serum lactate for short-term and long-term prognosis in acute pancreatitis (AP) admitted in intensive care unit (ICU) based on a large-scale database.

METHODS

AP patients admitted in ICU in the MIMIC-IV database were included. We constructed three different models to investigate the relationships between serum lactate and clinical outcomes, including 30-day, 180-day and 1-year mortality in AP. Smooth fitting curves were performed for intuitively demonstrating the relationship between serum lactate and different outcomes in AP by the generalized additive model.

RESULTS

A total of 895 AP patients admitted in ICU were included. The mortalities of 30 days, 180 days, and 1 year were 12.63% (n = 113), 16.87% (n = 151), and 17.54% (n = 157). In model B, with 1-mmol/L increment in serum lactate, the values of OR in 30-day, 180-day and 1-year mortality were 1.20 (95%CI 1.04-1.37, P = 0.0094), 1.21 (95%CI 1.06-1.37, P = 0.0039), and 1.21 (95%CI 1.07-1.38, P = 0.0035). The AUCs of serum lactate for predicting 30-day, 180-day, and 1-year mortality in AP were 0.688 (95%CI 0.633-0.743), 0.655 (95%CI 0.605-0.705), and 0.653 (95%CI 0.603-0.701), respectively. The cut-off value of serum lactate predicting 30-day, 180-day and 1-year mortality in AP was 2.4 mmol/L.

CONCLUSION

Serum lactate could be an indicator for short-term and long-term mortality in patients with AP admitted in ICU.

Association between serum lactate, lactate clearance rate, and 30-day mortality among patients undergoing mechanical ventilation: A retrospective cohort study of MIMIC-III database

Serum lactate has been used as a prognostic indicator in intensive care unit patients, and however, the single lactate value may not be enough to reflect changes during illness conditions. Herein, this study aims to explore the association between serum lactate and lactate clearance rate and 30-day mortality in patients undergoing mechanical ventilation (MV). Demographic and clinical data of 2628 adults were extracted from the medical information mart for intensive care-III clinical database in this retrospective cohort study. The lactate clearance rate was calculated using the serum lactate at the beginning of MV (T0), and serum lactate at the12 hours after MV beginning (T1). Univariate and multivariate Cox regression analyses were used to screen covariates, and explore the association between serum lactate and lactate clearance rate and 30-day mortality. We also explored these associations in different T0 serum lactate level subgroups. The evaluation indexes were hazard ratios (HRs) and 95% CIs. In addition, receiver operator characteristic (ROC) curve with area under the curve (AUC) was used to reflect the predictive performance of serum lactate and lactate clearance rate on 30-day mortality. A total of 827 (31.47%) mechanically ventilated patients died within 30 days. After adjusting for covariates, elevated T0 (HR = 1.04, 95%CI: [1.02-1.07]) and T1 (HR = 1.07, 95%CI: [1.04-1.10]) serum lactate was both associated with an increased risk of 30-day mortality, while higher lactate clearance rate was negatively associated with the risk of 30-day mortality (HR = 0.64, 95%CI: [0.50-0.81]). Among patients with T0 lactate ≥2 mmol/L, T1 serum lactate ≥4 mmol/L was associated with an increased risk of 30-day mortality, while lactate clearance rate ≥50 was associated with a decreased risk (all P < .05). Moreover, T1 serum lactate had a potential predictive value on 30-day mortality with an AUC of 0.605. Serum lactate and lactate clearance rate were both associated with 30-day mortality in patients undergoing MV. Our results may provide some references for further studies to explore the roles of serum lactate and lactate clearance rate in prognoses of critical patients.

A nomogram for predicting in-hospital overall survival of hypertriglyceridemia-induced severe acute pancreatitis: A single center, cross-sectional study

Background

Hypertriglyceridemia-induced severe acute pancreatitis (HTG-SAP) is a type of pancreatitis characterized by an abnormal elevation of plasma triglyceride. HTG-SAP has been associated with various complications and a high mortality rate. In this study, we established a nomogram for predicting the overall survival (OS) of HTG-SAP patients during hospitalization.

Methods

128 HTG-SAP cases hospitalized at the Affiliated Huadu Hospital, Southern Medical University, from 2019 to 2022 were analyzed retrospectively. A nomogram including prognostic factors correlated with OS during hospitalization was established by multivariate Cox regression analysis. We internally validated the nomogram using time-dependent (at 1-, 2-, and 3- months) survival receiver operating characteristic (SROC) and calibration curve with 500 iterations of bootstrap resampling. Time-dependent decision curve analysis (DCA) was employed to validate the clinical value of the nomogram.

Results

Multivariate Cox regression indicated that serum triglyceride, red blood cell distribution width (RDW), lactic acid, and interleukin-6 (IL6) were independent prognostic factors for OS of HTG-SAP patients during hospitalization and were used to construct a nomogram. The time-dependent area under the curve (AUC) values at 1-, 2-, and 3- months were 0.946, 0.913, and 0.929, respectively, and the Concordance index (C-index) of the nomogram was 0.916 (95%CI 0.871-0.961). The time-dependent calibration curves indicated good consistency between the observed and predicted outcomes. The time-dependent DCAs also revealed that the nomogram yielded a high clinical net benefit. After stratifying the included cases into two risk groups based on the risk score obtained from the nomogram, the high-risk group exhibited a significantly inferior overall survival (OS) compared to the low-risk group (p < 0.0001).

Conclusions

Our nomogram exhibited good performance in predicting the overall survival of HTG-SAP patients during hospitalization.

Multi-dimensional metabolomic profiling reveals dysregulated ornithine metabolism hallmarks associated with a severe acute pancreatitis phenotype

To reveal dysregulated metabolism hallmark that was associated with a severe acute pancreatitis (SAP) phenotype. In this study, LC-MS/MS-based targeted metabolomics was used to analyze plasma samples from 106 acute pancreatitis (AP) patients (34 mild, 38 moderate, and 34 severe) admitted within 48 hours from abdominal pain onset and 41 healthy controls. Temporal metabolic profiling was performed on days 1, 3, and 7 after admission. A random forest (RF) was performed to significantly determine metabolite differences between SAP and non-SAP (NSAP) groups. Mass spectrometry imaging (MSI) and immunohistochemistry were conducted for the examination of pancreatic metabolite and metabolic enzyme alterations, respectively, on necrosis and paracancerous tissues. Simultaneously determination of serum and pancreatic tissue metabolic alterations using an L-ornithine-induced AP model to discover metabolic commonalities. Twenty-two significant differential metabolites screened by RF were selected to build an accurate model for the prediction of SAP from NSAP (AUC = 0.955). Six of 22 markers were found by MSI with significant alterations in pancreatic lesions, reduced ornithine-related metabolites were also identified. The abnormally expressed arginase2 and ornithine transcarboxylase were further discovered in combination with time-course metabolic profiling in the SAP animal models, the decreased ornithine catabolites were found at a late stage of inflammation, but ornithine-associated metabolic enzymes were activated during the inflammatory process. The plasma metabolome of AP patients is distinctive, which shows promise for early SAP diagnosis. AP aggravation is linked to the activated ornithine metabolic pathway and its inadequate levels of catabolites in in-situ lesion.

Albumin Corrected Anion Gap and the Risk of in-Hospital Mortality in Patients with Acute Pancreatitis: A Retrospective Cohort Study

Purpose

To explore the prognostic value of albumin corrected anion gap (ACAG) within 24 hours of admission to the intensive care unit (ICU) for acute pancreatitis (AP).

Patients and Methods

This was a retrospective cohort study. Adult AP patients admitted to ICU from June 2016 to December 2019 were included in the study, who were divided into three groups according to initial serum ACAG within 24 hours upon ICU admission: ACAG ≤ 14.87 mmol/L, 14.87 < ACAG ≤ 19.03 mmol/L, and ACAG > 19.03 mmol/L. The primary study outcome indicator was in-hospital mortality. Age, sex, Glasgow Coma Scale score, and Acute Physiology and Chronic Health Evaluation II (APACHE II) score were matched through propensity score matching (PSM) method to balance the baseline between the survivors and non-survivors. Multivariate Cox regression was used to determine the relationship between ACAG and in-hospital mortality.

Results

A total of 344 patients (of them 81 non-survivors) were analyzed in this study. Patients with higher ACAG intended to present significantly higher in-hospital mortality, APACHE II score, creatine, lower albumin, and bicarbonate. Multivariate Cox regression analysis after matching demonstrated that white blood cell count, platelet count, and higher ACAG were independently associated with higher in-hospital mortality (ACAG ≤ 14.87 as a reference, 14.87 < ACAG ≤ 19.03 mmol/L with HR of 2.34 and 95% CI of 1.15-4.76, ACAG >19.03 with HR of 3.46 and 95% CI of 1.75-6.84).

Conclusion

Higher ACAG was independently associated with higher in-hospital mortality in patients with AP after matching the baseline between the survivors and non-survivors.

Changes of serum NSE, lactate and CRP in patients with postoperative infection after acute craniocerebral injury and their predictive value for prognosis

To investigate the changes of serum neuron-specific enolase (NSE), lactate and C-reactive protein (CRP) in patients with postoperative infection after acute craniocerebral injury and their predictive value for prognosis. 71 patients with postoperative infection after acute craniocerebral injury were selected as infection group, and 56 patients without postoperative infection were selected as non-infection group. NSE, CRP and blood lactic acid levels were detected in all patients. The relationship between each index and thecondition and prognosis of patients was analyzed. The levels of serum NSE, lactic acid and CRP in infected group were higher than those in non-infection group (P<0.05). The levels of serum NSE, lactic acid and CRP in severe group were higher than those in mild group (P<0.05). Serum levels of NSE, lactic acid and CRP were positively correlated with the severity of infection (P<0.05), the area under the curve (AUC) of the receiver operating characteristic curve (ROC) was greater than that of the NSE level (P<0.05). The levels of serum NSE, lactate and CRP in the good prognosis group were lower than those in the poor prognosis group (P<0.05). The area under the curve (AUC) of receiver operating characteristic curve (ROC) of lactate level in predicting the prognosis of patients with infection was higher than that of NSE and CRP (P<0.05). Serum NSE, lactic acid and CRP have predictive value in patients with acute craniocerebral injury.

Development and validation of a nomogram for predicting survival in patients with acute pancreatitis

BACKGROUND

Acute pancreatitis (AP) is a complex and heterogeneous disease. We aimed to design and validate a prognostic nomogram for improving the prediction of short-term survival in patients with AP.

METHODS

The clinical data of 632 patients with AP were obtained from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The nomogram for the prediction of 30-day, 60-day and 90-day survival was developed by incorporating the risk factors identified by multivariate Cox analyses.

RESULTS

Multivariate Cox proportional hazard model analysis showed that age (hazard ratio [HR]=1.06, 95% confidence interval [95% CI] 1.03-1.08, P<0.001), white blood cell count (HR=1.03, 95% CI 1.00-1.06, P=0.046), systolic blood pressure (HR=0.99, 95% CI 0.97-1.00, P=0.015), serum lactate level (HR=1.10, 95% CI 1.01-1.20, P=0.023), and Simplified Acute Physiology Score II (HR=1.04, 95% CI 1.02-1.06, P<0.001) were independent predictors of 90-day mortality in patients with AP. A prognostic nomogram model for 30-day, 60-day, and 90-day survival based on these variables was built. Receiver operating characteristic (ROC) curve analysis demonstrated that the nomogram had good accuracy for predicting 30-day, 60-day, and 90-day survival (area under the ROC curve: 0.796, 0.812, and 0.854, respectively; bootstrap-corrected C-index value: 0.782, 0.799, and 0.846, respectively).

CONCLUSION

The nomogram-based prognostic model was able to accurately predict 30-day, 60-day, and 90-day survival outcomes and thus may be of value for risk stratification and clinical decision-making for critically ill patients with AP.

Role of neutrophil extracellular traps in inflammatory evolution in severe acute pancreatitis

ABSTRACT

Severe acute pancreatitis (SAP) is a life-threatening acute abdominal disease with two peaks of death: the first in the early stage, characterized by systemic inflammatory response-associated organ failure; and the second in the late stage, characterized by infectious complications. Neutrophils are the main immune cells participating in the whole process of SAP. In addition to the traditional recognition of neutrophils as the origination of chemokine and cytokine cascades or phagocytosis and degranulation of pathogens, neutrophil extracellular traps (NETs) also play an important roles in inflammatory reactions. We reviewed the role of NETs in the occurrence and development of SAP and its fatal complications, including multiple organs injury, infected pancreatic necrosis, and thrombosis. This review provides novel insights into the involvement of NETs throughout the entire process of SAP, showing that targeting NETs might be a promising strategy in SAP treatment. However, precision therapeutic options targeting NETs in different situations require further investigation.

Diagnosis, severity stratification and management of adult acute pancreatitis–current evidence and controversies

Acute pancreatitis (AP) is a disease spectrum ranging from mild to severe with an unpredictable natural course. Majority of cases (80%) are mild and self-limiting. However, severe AP (SAP) has a mortality risk of up to 30%. Establishing aetiology and risk stratification are essential pillars of clinical care. Idiopathic AP is a diagnosis of exclusion which should only be used after extended investigations fail to identify a cause. Tenets of management of mild AP include pain control and management of aetiology to prevent recurrence. In SAP, patients should be resuscitated with goal-directed fluid therapy using crystalloids and admitted to critical care unit. Routine prophylactic antibiotics have limited clinical benefit and should not be given in SAP. Patients able to tolerate oral intake should be given early enteral nutrition rather than nil by mouth or parenteral nutrition. If unable to tolerate per-orally, nasogastric feeding may be attempted and routine post-pyloric feeding has limited evidence of clinical benefit. Endoscopic retrograde cholangiopancreatogram should be selectively performed in patients with biliary obstruction or suspicion of acute cholangitis. Delayed step-up strategy including percutaneous retroperitoneal drainage, endoscopic debridement, or minimal-access necrosectomy are sufficient in most SAP patients. Patients should be monitored for diabetes mellitus and pseudocyst.

Prognostic Value of Arterial Lactate Metabolic Clearance Rate in Moderate and Severe Acute Pancreatitis

PURPOSE

High lactate levels at hospital admission are significantly associated with poor prognosis in acute pancreatitis patients. Early high lactate clearance is a vital marker for predicting persistent organ failure and mortality in critical illness; however, its value in acute pancreatitis remains unclear.

METHOD

Data were collected from patients who were diagnosed with moderately severe acute pancreatitis and severe acute pancreatitis from January 2017 to December 2020. Initial lactate (within 2 hours after admission) and repeat lactate at 24 hours after admission were measured to determine lactate clearance. Low clearance was defined as a reduction in repeat lactate of less than 30% compared to the first measurement. High clearance was defined as a repeat lactate decrease ≥30% of the first measurement or both first and second lactate levels <2 mmol/L. Baseline data, laboratory data, mortality rate, persistent organ failure rate, and other outcomes such as the incidence of septic pancreatic necrosis and sepsis and the length of hospital stay and intensive care unit (ICU) stay were compared in the low and high lactate clearance groups. Multivariate logistic regression analyses were used to assess the value of lactate clearance for predicting death.

RESULT

Among 4425 acute pancreatitis patients, 3040 patients were diagnosed with moderate or severe acute pancreatitis, and 1028 patients had initial lactate measured. Finally, 390 patients who had initial and 24-hour repeat lactate data were included in the study. Patients who had elevated initial lactate had poor outcomes, and 51 patients in the initial elevated lactate group died. In the lactate normalization group analysis, 293 patients had 24-hour lactate normalization; compared with patients in the nonnormalization group, they had a lower rate of mortality (12.6% vs. 33%). In the lactate clearance group analysis, 70 (21.9%) patients had a low clearance after 24 hours; compared with patients in the high clearance group, they had a higher rate of developing persistent multiorgan failure (P = 0.045), and the incidence of death was higher (15% vs. 28.6%, P = 0.007). Multivariate logistic analysis showed that 24-hour lactate clearance (OR: 2.007; 95% CI:1.032-3.903, P = 0.04), elevated initial lactate (OR: 2.011; 95% CI:1.023-3.953, P = 0.043), blood urea nitrogen (OR: 2.316; 95% CI:1.061-5.056, P = 0.035), and white blood count (OR: 1.982; 95% CI:1.026-3.829, P = 0.042) were independent predictors of hospital mortality.

CONCLUSION

The 24-hour clearance of lactate is a reliable marker to predict the outcome of moderate and severe acute pancreatitis, and low lactate clearance may indicate that the patient's condition will worsen, requiring aggressive treatments to improve patient outcomes.

Predictive value of arterial blood lactic acid concentration on the risk of all-cause death within 28 days of admission in patients with severe acute pancreatitis

ObjectiveTo evaluate the ability of arterial blood lactic acid concentration to predict death within 28 days of admission of patients with severe acute pancreatitis (SAP) in the intensive care unit (ICU).MethodsClinical data of 523 SAP patients in the MIMIC-IV database were retrospectively analyzed. Patients were divided into those who survived (n=461) and those who died (n=62) within 28 days of admission. The association between lactic acid concentration and all-cause death in SAP patients was determined by Cox regression analysis, Kaplan-Meier survival analysis and subgroup analysis. The ability of lactic acid concentration to predict the risk of all-cause death in SAP patients was determined by time-dependent receiver operating curve (ROC) analysis.ResultsArterial blood lactic acid concentration was significantly higher in the 62 patients who died within 28 days than in the 461 patients who survived (P <0.05). Adjusted multivariate Cox regression analysis showed that lactic acid concentration was a significant independent predictor on all-cause mortality within 28 days of admission for SAP (hazard ratio=1.22, 95% confidence interval 1.09-1.36, P <0.001), as did time-dependent ROC analysis (area under the ROC curve=0.741). Kaplan-Meier analysis showed that the rate of all-cause mortality within 28 days of admission was significantly higher in patients with high than low lactic acid concentration (P <0.0001). Subgroup analysis showed that there was no significant interaction between lactic acid concentration and other factors with all-cause death within 28 days of admission (all P >0.05).ConclusionArterial blood lactic acid concentration is an important independent predictor of all-cause mortality within 28 days of admission of SAP patients in the ICU.

Intermediate products of purine metabolism in an experimental model of pancreatic necrosis

BACKGROUND AND AIM

Determine the level of purines in the blood plasma of experimental animals at three stages of induced pancreatic necrosis. Find out the potential of purines as predictors of the severity of pancreatitis.

METHODS

The experiment was carried out on white outbred rabbits. The pancreatic necrosis was modeled by introducing self-bile into the pancreatic parenchyma. The pancreas of rabbits, after isolation, was subjected to microscopic description. Blood was also taken from rabbits to determine the plasma levels of adenine, guanine, hypoxanthine, xanthine, and uric acid.

RESULTS

12 hours after the administration of self-bile, the level of xanthine significantly increases and the concentration of uric acid in the blood plasma increases by 3 times. 24 hours after the introduction of self-bile, there is a slight decrease in the level of adenine, xanthine and uric acid, and the indicators of purine metabolism remain elevated. 48 hours after the introduction of self-bile, the levels of guanine, hypoxanthine and xanthine are reduced.

CONCLUSIONS

The concentration indices of absolute and relative intermediate products of purine metabolism were increased at the initial stage of pancreatic necrosis. The activity of enzymes and metabolites of purine metabolism involved in the formation of reactive oxygen species and free radicals increased. The hypothesis that intermediate products of purine metabolism can be predictors of pancreatic necrosis was confirmed.

Metabolomic-based clinical studies and murine models for acute pancreatitis disease: A review

Acute pancreatitis (AP) is one of the most common gastroenterological disorders requiring hospitalization and is associated with substantial morbidity and mortality. Metabolomics nowadays not only help us to understand cellular metabolism to a degree that was not previously obtainable, but also to reveal the importance of the metabolites in physiological control, disease onset and development. An in-depth understanding of metabolic phenotyping would be therefore crucial for accurate diagnosis, prognosis and precise treatment of AP. In this review, we summarized and addressed the metabolomics design and workflow in AP studies, as well as the results and analysis of the in-depth of research. Based on the metabolic profiling work in both clinical populations and experimental AP models, we described the metabolites with potential utility as biomarkers and the correlation between the altered metabolites and AP status. Moreover, the disturbed metabolic pathways correlated with biological function were discussed in the end. A practical understanding of current and emerging metabolomic approaches applicable to AP and use of the metabolite information presented will aid in designing robust metabolomics and biological experiments that result in identification of unique biomarkers and mechanisms, and ultimately enhanced clinical decision-making.

Serum Amylase and Lipase for the Prediction of Pancreatic Injury in Critically Ill Children Admitted to the PICU

OBJECTIVES

Pancreatic injury is multifactorial and potentially devastating for critically ill children. We aimed to evaluate whether serum amylase and lipase among critically ill children could serve as an independent biomarker to predict pancreatic injury.

DESIGN

Retrospective cohort.

SETTING

PICU of a tertiary, pediatric medical center.

PATIENTS

Seventy-nine autopsies.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A group of 79 children who died of different causes were investigated by autopsy. They were divided into pancreatic injury group and pancreatic noninjury group according to autopsy findings. Data based on patients' demographics, vital signs, laboratory findings, and clinical features at admission were collected and compared. Logistic regression was used to identify predictive factors for pancreatic injury. Receiver operating characteristic curve was constructed for assessing serum amylase and serum lipase to predicting pancreatic injury. Forty-one patients (51.9%) exhibited the pathologic changes of pancreatic injury. The levels of lactate, erythrocyte sedimentation rate, alanine transaminase, aspartate transaminase, and troponin-I in the injury group were significantly higher than that in the noninjury group, whereas the level of calcium was significantly lower than that in the noninjury group (p < 0.05). Multivariable logistic regression analysis showed that serum amylase, serum lipase, and septic shock were significantly associated with the occurrence rate of pancreatic injury. The statistically significant area under the curve results were as follows: serum amylase: area under the curve = 0.731, at a cutoff value of 97.5, sensitivity = 53.7, and specificity = 81.6; and serum lipase: area under the curve = 0.727, at a cutoff value of 61.1, sensitivity = 36.6, and specificity = 92.1.

CONCLUSIONS

Serum amylase and lipase could serve as independent biomarkers to predict pancreatic injury in critically ill children.