Abstract
Background and aims
Serum amylase is a traditional measure used to establish the diagnosis of acute pancreatitis (AP). The current study aimed to assess the predictors and clinical outcome of AP with low serum amylase.
Methods
All patients were divided into two groups, based on their serum amylase level within the first 2 days after hospital admission: group 1 (amylase ≥300 U/L) and group 2 (amylase <300 U/L). Clinical outcomes were compared between the two groups before and after 1:1 propensity score matching. Clinical and biochemical parameters were collected and evaluated as potential predictors of AP with low serum amylase.
Results
A total of 464 patients were enrolled. After propensity score matching according to age, gender, time interval before admission, hematocrit, blood urea nitrogen and creatinine, 108 matched pairs of patients were selected. There was no significant statistical difference between group 2 and group 1 with respect to severity of AP, median days of stay in hospital and death. Multivariate analysis indicated that biliary etiology (odds ratio [OR]: 0.499; 95% confidence interval [CI]: 0.265–0.942; P=0.003), low-density lipoprotein cholesterol (LDL-C) (OR: 1.009; 95% CI: 1.002–1.017; P=0.017) and triglyceride levels (OR: 1.001; 95% CI: 1.0001–1.001; P=0.015) were independently associated with development of AP along with low serum amylase.
Conclusion
Serum amylase level was not related to the severity of AP, median hospital stay (days) and death. Biliary etiology, LDL-C and triglyceride levels were independently associated with the development of AP with lower elevation of serum amylase.
Keywords: severity, acute pancreatitis, risk factor, lipids, etiology, prediction
Introduction
Acute pancreatitis (AP) is one of the most common inflammatory diseases of the gastrointestinal tract, with an increasing incidence in recent years.1 Though most patients with AP have a benign clinical course, approximately 10%–20% of patients develop severe AP with significant mortality of at least 30%.2,3 Disturbance of pancreatic blood flow, pancreatic ischemia and activated coagulation plays an important role in the development of AP as well as in the progression of the disease to severe necrotizing pancreatitis.4–6 Recent studies have demonstrated that serum total bile acid, serum neutrophil gelatinase-associated lipocalin and serum soluble Fms-like tyrosine kinase 1 might play a role in prediction of severity of AP.7–9
A study published two decades ago suggested that there is no association between amylase levels and severity, cause or outcome of the AP.10 There have been important changes in the definition and classification of AP since the Atlanta classification from 1992.11 Recent revised Atlanta classification identified that persistent organ failure is the key determinant of severity.11 It may be classified as mild, moderate severe and severe AP according to the severity of diseases. Therefore, one may concern that whether there is association between serum amylase levels and severity of AP, when it is defined by the revised Atlanta classification (classified as mild, moderate severe and severe AP).11
The diagnosis of AP is most often established by the presence of two of the three following criteria:1,11 (i) abdominal pain, (ii) serum lipase or amylase greater than three times the upper limit of normal, and (iii) characteristic findings from abdominal imaging. Therefore, estimation of serum amylase and lipase levels remains the cornerstone in the diagnosis of AP.12
In AP, the levels of amylase often increase by 6–24 hours and usually peak at 48 hours. Over the period of the next 5–7 days after onset, amylase levels typically tend to normalize.13 However, amylase level may remain within the normal range on admission in as many as one-fifth of patients.1 Patients with slight elevation of serum amylase – that is, less than three times the upper limit of normal level – on admission could also have or develop severe AP.10 Amylase tests in these settings result in diagnostic delays or misdiagnosis, imposing additional costs on patients and the health system.14 On the other hand, checking for lipase and amylase simultaneously does not result in improved diagnostic accuracy because amylase and lipase are closely correlated.15 This consideration should warrant further imaging tests like computed tomography (CT) or magnetic resonance imaging of the abdomen to confirm the diagnosis. Therefore, early identification of AP with normal or a small elevation of serum amylase in the disease course might be helpful for physicians to make a timely diagnosis.
It has been noted that serum amylase concentrations may be normal in alcohol-induced AP and hypertriglyceridemia.16 However, to the best of our knowledge, clinical and laboratory predictors of AP with small elevation of serum amylase have not been fully investigated.
Therefore, the current study aimed to assess the predictors and clinical outcome of AP with low amylase based on the revised Atlanta criteria.
Materials and methods
Inclusion and exclusion criteria
Patients with AP admitted to the First Affiliated Hospital of Wenzhou Medical University within 72 hours of the onset of symptoms, from 1st January 2012 to 31st December 2015, were eligible to be enrolled in the study. Exclusion criteria were previous pancreatic surgery, pancreatitis due to endoscopic retrograde cholangiopancreatography (ERCP) or trauma, chronic pancreatitis, pancreatic cancer, antilipidemic therapy, previous surgery or therapeutic ERCP during hospitalization, chronic renal disease with decreased glomerular filtration rate, previous albuminuria, hepatitis, liver cirrhosis, macroamylasemia, diseases of the salivary glands, extrapancreatic abdominal diseases such as acute appendicitis, peptic ulcer and gynecological diseases.1,17,18
Data collection and ethics
Age, gender, body mass index (BMI), time from symptom onset to admission, and biochemical parameters including hematocrit, glucose, blood urea nitrogen (BUN) and creatinine were recorded within 12 hours of hospitalization, except for amylase levels (normal: 80–100 U/L) which were assayed on the first and second day after admission. Subjects were classified as alcohol drinkers (alcohol consumption) if they had regularly consumed any alcoholic beverage one or more times per week during the preceding 6 months.19 Subjects were classified as cigarette smokers if they had smoked 10 or more cigarettes per week during the preceding 6 months.19 Fatty liver was indicated based on noninvasive imaging methods including non-contrast abdominal CT and/or ultrasonography.20
This study protocol was approved by the Ethics Committee of the First Affiliated Hospital of Wenzhou Medical University. This study was performed according to the principles expressed in the Declaration of Helsinki, and written informed consent was obtained from the subjects or their legal guardians.
Definition of outcome
AP was defined as previously described.11,21 The disease severity was stratified into mild, moderately severe and severe according to the revised Atlanta classification.11 Organ failure11,22 was defined according to the Marshall score ≥2, meaning that at least one system (respiratory, cardiovascular, renal) must be affected. The above condition was defined as persistent with a symptomatology ≥48 hours.11,22 Mortality refers to death occurring from AP or its complications during hospitalization.
All patients were divided into two groups according to the highest amylase level within the first 2 days after admission: group 1 (amylase ≥300 U/L) and group 2 (amylase <300 U/L).
Statistical analysis
We used propensity score methods to account for selection bias. We used our clinical experience and knowledge to select possible confounders for their potential association with amylase levels as follows: age, gender, time interval before admission, hematocrit, BUN and creatinine. Therefore, these variables were included in a logistic regression model to derive the propensity score. When performing propensity score matching, a nearest neighbor, one-to-one pair match within 0.2 standard deviations (SDs) (caliper) of the logit of the propensity score and without replacement was used.23 Absolute standardized differences (ASDs) were computed to evaluate matching effectiveness. ASDs <10% between each covariate were considered a good balance between the matched groups.24 We also reported the Hosmer–Lemeshow goodness-of-fit test and c-index of propensity score model, though Ali et al24 argued these tests should not be used to decide whether the propensity score model is correctly specified.
Categorical values were described by count and proportions and compared by the χ2 test before matching. Continuous values were expressed by mean ± SD or median and interquartile range, and compared using the Student’s t-test or the Mann–Whitney nonparametric test before matching. After matching, comparisons of the matched cohorts were performed using the χ2 test (McNemar test for binary data) and paired t-tests.
Multivariable logistic analysis was used to identify the potential predictors of AP with low amylase. According to the results of collinearity diagnostics, total cholesterol was not included into multivariable logistic regression because of collinearity with high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C). Alcohol consumption, serum lipid and etiology (biliary vs non-biliary) were used as dichotomous variables in multivariable logistic regression. Odds ratios (ORs) were calculated with 95% confidence intervals (CIs).
Differences were assessed as being relevant when the two-tailed P-value <0.05 was reached.
Results
Baseline characteristics
Before propensity score matching, a total of 464 patients (344 patients with high amylase and 120 patients with low amylase) were enrolled (Table 1). There were 281 male and 183 females, ranging in age from 14 to 92 years (mean age of 50±17 years). Of all 464 patients, 348 (75.0%), 66 (14.2%) and 50 (10.8%) patients developed mild, moderate severe and severe AP, respectively. The mean interval between the onset and admission was 1.8±0.8 days. The predominant cause of AP was cholelithiasis (42.5%). Eight patients died during hospitalization. The mean serum amylase levels at the time of admission and 24 hours later were 1,080±1,040 and 432±447 U/L, respectively.
Table 1.
Variable | Amylase (U/L)
|
P-values | |
---|---|---|---|
≥300 (n=344) | <300 (n=120) | ||
Age (years) | 53±18 | 43±11 | <0.001 |
Male gender | 192 (55.8) | 89 (74.2) | <0.001 |
Time interval before admission (days) | 1.7±0.8 | 2.1±0.8 | <0.001 |
BMI (kg/m2) | 23.7±3.8 | 24.5±4.1 | 0.053 |
Hypertension | 91 (26.5) | 23 (19.2) | 0.110 |
Diabetes mellitus | 48 (14.0) | 28 (23.3) | 0.017 |
Fatty liver | 112 (32.6) | 66 (55.0) | <0.001 |
Alcohol consumption | 38 (11.1) | 30 (25.0) | <0.001 |
Smoking | 70 (20.4) | 46 (38.3) | <0.001 |
Etiology | <0.001 | ||
Biliary | 177 (51.5) | 20 (16.7) | |
Hypertriglyceridemia | 14 (4.1) | 13 (10.8) | |
Alcohol | 38 (11.1) | 30 (25.0) | |
Idiopathic | 104 (30.2) | 53 (44.2) | |
Other | 11 (3.2) | 4 (3.3) | |
Laboratory findings | |||
Amylase day 1 (U/L) | 1,088 (577–2,111) | 149 (94–215) | <0.001 |
Amylase day 2 (U/L) | 400 (204–729) | 80 (56–145) | <0.001 |
Hematocrit (mg/dL) | 0.42±0.06 | 0.43±0.05 | 0.123 |
Glucose (mg/dL) | 170±81 | 168±74 | 0.853 |
BUN (mg/dL) | 14.3 (11.2–18.8) | 11.5 (9.4–14.7) | <0.001 |
Creatinine (mg/dL) | 0.74 (0.62–0.89) | 0.74 (0.59–0.86) | 0.141 |
Total cholesterol (mg/dL) | 175 (139–219) | 238 (192–330) | <0.001 |
HDL-C (mg/dL) | 41 (31–51) | 33 (24–47) | 0.002 |
LDL-C (mg/dL) | 89 (68–119) | 105 (81–132) | 0.001 |
Triglyceride levels (mg/dL) | 95 (63–185) | 309 (160–643) | <0.001 |
Outcomes | |||
Severity of acute pancreatitis | 0.241 | ||
Mild | 254 (73.8) | 94 (78.3) | |
Moderately severe | 48 (14.0) | 18 (15.0) | |
Severe | 42 (12.2) | 8 (6.7) | |
Median hospital stay (days) | 10 (7–14.5) | 9 (7–12) | 0.074 |
Death | 7 (2.0) | 1 (0.8) | 0.384 |
Note: Data are presented as mean ± standard deviation, or numbers (%), or median (25th–75th percentile), as appropriate.
Abbreviations: BMI, body mass index; BUN, blood urea nitrogen; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.
After matching according to age, gender, time interval before admission, hematocrit, BUN and creatinine, 108 matched pairs of patients were selected. Table 2 shows the demographics of the propensity score-matched patients.
Table 2.
Variable | Amylase (U/L)
|
P-values | |
---|---|---|---|
≥300 (n=108) | <300 (n=108) | ||
Age (years) | 41.2±11.7 | 41.5±11.9 | 0.854 |
Male gender | 77 (71.3) | 77 (71.3) | 1.00 |
Time interval before admission (days) | 2.0±0.8 | 2.0±0.8 | 0.930 |
BMI (kg/m2) | 24.3±3.5 | 24.4±4.2 | 0.959 |
Hypertension | 25 (23.4) | 21 (19.4) | 0.506 |
Diabetes mellitus | 16 (14.8) | 23 (21.3) | 0.216 |
Fatty liver | 45 (41.7) | 58 (53.7) | 0.077 |
Alcohol consumption | 20 (18.5) | 26 (24.1) | 0.319 |
Smoking | 38 (35.2) | 36 (33.3) | 0.774 |
Etiology | 0.020 | ||
Biliary | 37 (34.3) | 17 (15.7) | |
Hypertriglyceridemia | 5 (4.6) | 12 (11.1) | |
Alcohol | 20 (18.5) | 26 (24.1) | |
Idiopathic | 42 (38.9) | 49 (45.5) | |
Other | 4 (3.7) | 4 (3.7) | |
Laboratory findings | |||
Amylase day 1 (U/L) | 747 (483–1,272) | 160 (105–215) | <0.001 |
Amylase day 2 (U/L) | 341 (184–587) | 80 (57–146) | <0.001 |
Hematocrit (mg/dL) | 0.43±0.06 | 0.43±0.06 | 0.649 |
Glucose (mg/dL) | 165±72 | 167±75 | 0.842 |
BUN (mg/dL) | 12.3 (9.2–16.0) | 11.3 (9.2–14.7) | 0.247 |
Creatinine (mg/dL) | 0.75 (0.62–0.84) | 0.74 (0.59–0.87) | 0.914 |
Total cholesterol (mg/dL) | 183 (142–224) | 237 (190–322) | <0.001 |
HDL-C (mg/dL) | 38 (27–45) | 35 (24–48) | 0.728 |
LDL-C (mg/dL) | 89 (72–119) | 105 (78–131) | 0.031 |
Triglyceride levels (mg/dL) | 129 (75–304) | 309 (150–643) | <0.001 |
Outcomes | |||
Severity of acute pancreatitis | 0.846 | ||
Mild | 82 (75.9) | 85 (78.7) | |
Moderately severe | 17 (15.7) | 16 (14.8) | |
Severe | 9 (8.3) | 7 (6.5) | |
Median hospital stay (days) | 10.5 (7–15) | 9.5 (7–12) | 0.152 |
Death | 3 (2.8) | 1 (0.9) | 0.313 |
Note: Data are presented as mean ± standard deviation, or numbers (%), or median (25th–75th percentile), as appropriate.
Abbreviations: BMI, body mass index; BUN, blood urea nitrogen; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.
Evaluation of propensity score matching
The distribution of propensity scores was different and shared little overlap in the entire cohort before matching (Figure 1A). After matching, the distribution of propensity scores overlapped between groups, suggestive of the comparability between groups (Figure 1B). The propensity score model was well calibrated (Hosmer–Lemeshow test, P=0.843), and discriminated adequately between the two groups (c statistic =0.77). All patients were matched to the closest control within 0.10 ASDs of the logit of the estimated propensity score (Figure 2).
Comparison of clinical characteristics of patients with and without low amylase
Before matching (Table 1), patients in group 2 (low amylase) were younger, and there was a higher proportion of males and longer time from pain onset to admission, as compared to group 1. As to chronic concomitant diseases and lifestyle, group 2 had a higher proportion of patients with diabetes mellitus, fatty liver, alcohol consumption and smoking compared to group 1. There was significant statistical difference between group 2 and group 1 with respect to etiology, BUN and lipid levels. There was a trend for longer median hospital stay (days) with higher serum amylase level, though it did not reach statistical significance (P=0.074). However, no significant difference could be observed between groups, with respect to severity of AP-instigated death.
After matching (Table 2), there was no significant statistical difference between group 2 and group 1 with respect to age, gender, time from pain onset to admission, BMI, hypertension, diabetes mellitus, fatty liver, alcohol consumption, smoking, hematocrit, glucose, BUN and creatinine. Patients with low amylase (group 2) had a lower proportion of biliary etiology, and higher serum levels of total cholesterol, LDL-C and triglyceride levels compared to group 1. There was no significant statistical difference between group 2 and group 1 with respect to severity of AP, median hospital stay (days) and death.
Prediction of AP with low amylase: multivariable analysis
Before matching, according to the results of univariable analysis (Table 1), age, gender, time from pain onset to admission, diabetes mellitus, fatty liver, alcohol consumption, smoking, biliary etiology, BUN, HDL-C, LDL-C and triglyceride levels were included as candidate variables in multivariable logistic regression. Multivariable analysis indicated that age (OR: 0.979; 95% CI: 0.962–0.996; P=0.018), time from pain onset to admission (OR: 1.940; 95% CI: 1.395–2.697; P<0.001), biliary etiology (OR: 0.394; 95% CI: 0.226–0.688; P=0.001), HDL-C (OR: 0.991; 95% CI: 0.985–0.997; P=0.004), LDL-C (OR: 1.008; 95% CI: 1.002–1.013; P=0.007) and triglyceride levels (OR: 1.001; 95% CI: 1.0001–1.001; P=0.004) were independently associated with development of AP with low amylase (Figure 3).
After matching, according to the results of univariable analysis (Table 2), biliary etiology, HDL-C, LDL-C and triglyceride levels were included as candidate variables in multi-variable logistic regression. Multivariable analysis indicated that biliary etiology (OR: 0.499; 95% CI: 0.265–0.942; P=0.003), LDL-C (OR: 1.009; 95% CI: 1.002–1.017; P=0.017) and triglyceride levels (OR: 1.001; 95% CI: 1.0001–1.001; P=0.015) were independently associated with development of AP with low amylase (Figure 4). When ruling out patients with hypertriglyceridemic pancreatitis, biliary etiology (OR: 0.434; 95% CI: 0.219–0.862; P=0.017), LDL-C (OR: 1.009; 95% CI: 1.001–1.017; P=0.022) and triglyceride levels (OR: 1.001; 95% CI: 1.0001–1.002; P=0.033) were independently associated with development of AP with low amylase.
Discussion
The results of the present study demonstrated that: (i) there was no significant statistical difference between group 2 and group 1 with respect to severity of AP, median hospital stay (days) and death (Tables 1 and 2), and (ii) patients with low amylase had a lower proportion of biliary etiology, and higher serum levels of total cholesterol, LDL-C and triglyceride levels compared to the other group of patients (Tables 1 and 2). Biliary etiology, LDL-C and triglyceride levels were independently associated with development of AP with low amylase (Figures 3 and 4). These results did not change, even after ruling out patients with hypertriglyceridemic pancreatitis.
Amylase testing is routinely performed at many health care institutions in clinical practice, although lipase is believed to offer superior sensitivity and specificity as compared to amylase for the diagnosis of AP.14 Other serum enzymes such as trypsinogen and elastase can be analyzed to diagnose AP. However, elevated amylase levels continue to be the “gold standard” among the serum markers.16 Conditions like intestinal obstruction and renal failure might also cause a slight increase of serum amylase.16 AP with small elevated serum amylase levels on admission represents a substantial patient group; it is easy to go unnoticed, and its diagnosis might be delayed. Current textbook, guideline and/or consensus discourage CT of abdomen in the first 48 hours. Normally, the diagnosis of AP is apparent in many patients, and most patients with AP have a mild, uncomplicated course.1 However, imaging could be handy in the timely diagnosis and management of AP with atypical presentation, such as with normal or small elevated levels of pancreatic enzymes, as abdominal imaging is useful to confirm the diagnosis of AP.13 Our study suggested that patients with AP with lower amylase levels than in the standardized criteria had similar clinical outcomes and severity based on the revised Atlanta criteria when compared to patients with high amylase levels in the entire cohort (Table 1) and the matched data (Table 2).
Our study showed biliary etiology (OR: 0.499; 95% CI: 0.265–0.942) was associated with a statistically significant 50.1% reduction in the odds of AP with low amylase when compared to other etiologies (Figure 4). This is consistent with existing knowledge that patients with gallstone-induced AP tend to have higher levels of pancreatic enzymes as compared with patients with AP from other etiologies.13,16 Cho et al25 have reported on the difference in the levels of serum pancreatic enzymes between alcoholic AP and biliary AP. Serum amylase and lipase tend to be lower in alcoholic AP than in biliary AP. This difference is assumed to be an outcome of the different mechanisms of induction of AP via gallstones and alcohol.26 Our study indicates group 2 had a high proportion of patients with alcohol consumption in the entire cohort, that is, 25.0% vs 11.1% (P<0.001) (Table 1) before and 24.1% vs 18.5% (P=0.319) (Table 2) after matching. However, it did not reach a statistical difference when compared to group 1.
It has been reported that hypertriglyceridemic pancreatitis is often associated with low or normal serum amylase, although the mechanism is not fully understood.1 One of the possible explanations is that plasma triglyceride levels >500 mg/dL interfere with in vitro determination of the actual amylase level by preventing the calorimetric reading of the assay end point.27,28 This study proposes that group 2 had a higher proportion of hypertriglyceridemic pancreatitis both in the entire cohort before matching (10.8% vs 4.1%) (Table 1) and in the matched cohort after matching (11.1% vs 4.6%) (Table 2).
There are no reports about the relationship between lipid levels and pancreatic enzymes in patients with AP in the literature. Our multivariable logistic regression study suggested that LDL-C and triglyceride levels were independently associated with development of AP with low amylase both in the entire cohort before matching (Figure 3) and in the matched cohort (Figure 4) after adjusting for confounding factors. These results did not change even when patients with hypertriglyceridemic pancreatitis were removed from the analyses. A study on cardiovascular diseases has suggested that low-density lipoprotein is the principal atherogenic lipoprotein that promotes cholesterol accumulation and an inflammatory response in the artery wall, which drives the process of atherosclerosis.29 Ischemia is one of the well-documented etiologies of AP. Recent studies have indicated that inhibition of coagulation may improve pancreatic ischemia, accelerate normalization of pancreatic histology and affect the development of AP.30–32 It was hypothesized that high LDL-C levels may influence pancreatic microcirculation and result in reduced yield or release of pancreatic amylase.
The strengths of our study include the following: (i) this is the first study to compare clinical outcomes of AP with and without low amylase based on the revised Atlanta criteria using a propensity score analysis, and (ii) to the best of our knowledge, this is the first study to investigate potential clinical and laboratory predictors of AP with low amylase. Nevertheless, there are some limitations to the present study. First, although selection bias could be reduced by propensity score analysis, the relatively small sample size of the matched cohort limits the strength of the results, and there is a risk of type II error. Still, even in cases of a small study sample, propensity score matching can yield unbiased estimations of results, unless the true confounders and the variables related only to the outcome are not included in the propensity model.33,34 On the other hand, our study achieved good balance in covariates between groups after propensity score matching (Figures 1 and 2), which makes our results reliable.
In summary, amylase level was not related to the severity of AP based on the revised Atlanta criteria, median hospital stay (days) and death. Biliary etiology, LDL-C and triglyceride levels were independently associated with development of AP with low amylase.
Footnotes
Author contributions
All authors contributed toward data analysis and drafting and critically revising the paper, and agree to be accountable for all aspects of the work. All of the authors read and approved the manuscript.
Disclosure
The authors report no conflicts of interest in this work.
References
- 1.Tenner S, Baillie J, DeWitt J, Vege SS, American College of Gastroenterology American College of Gastroenterology guideline: management of acute pancreatitis. Am J Gastroenterol. 2013;108(9):1400–1415. 1416. doi: 10.1038/ajg.2013.218. [DOI] [PubMed] [Google Scholar]
- 2.Hong W, Lin S, Zippi M, et al. Serum albumin is independently associated with persistent organ failure in acute pancreatitis. Can J Gastroenterol Hepatol. 2017;2017:5297143. doi: 10.1155/2017/5297143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hong W, Lin S, Zippi M, et al. High-density lipoprotein cholesterol, blood urea nitrogen, and serum creatinine can predict severe acute pancreatitis. Biomed Res Int. 2017;2017:1648385. doi: 10.1155/2017/1648385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Dumnicka P, Maduzia D, Ceranowicz P, Olszanecki R, Drozdz R, Kusnierz-Cabala B. The interplay between inflammation, coagulation and endothelial injury in the early phase of acute pancreatitis: clinical implications. Int J Mol Sci. 2017;18(2) doi: 10.3390/ijms18020354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Dumnicka P, Kusnierz-Cabala B, Sporek M, et al. Serum concentrations of angiopoietin-2 and soluble fms-like tyrosine kinase 1 (sFlt-1) are associated with coagulopathy among patients with acute pancreatitis. Int J Mol Sci. 2017;18(4):753. doi: 10.3390/ijms18040753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Ceranowicz P, Dembinski A, Warzecha Z, et al. Protective and therapeutic effect of heparin in acute pancreatitis. J Physiol Pharmacol. 2008;59(Suppl 4):103–125. [PubMed] [Google Scholar]
- 7.Maleszka A, Dumnicka P, Matuszyk A, et al. The diagnostic usefulness of serum total bile acid concentrations in the early phase of acute pancreatitis of varied etiologies. Int J Mol Sci. 2017;18(1):106. doi: 10.3390/ijms18010106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Sporek M, Dumnicka P, Gala-Bladzinska A, et al. Determination of serum neutrophil gelatinase-associated lipocalin at the early stage of acute pancreatitis. Folia Med Cracov. 2016;56(2):5–16. [PubMed] [Google Scholar]
- 9.Dumnicka P, Sporek M, Mazur-Laskowska M, et al. Serum soluble fms-like tyrosine kinase 1 (sFlt-1) predicts the severity of acute pancreatitis. Int J Mol Sci. 2016;17(12):2038. doi: 10.3390/ijms17122038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lankisch PG, Burchard-Reckert S, Lehnick D. Underestimation of acute pancreatitis: patients with only a small increase in amylase/lipase levels can also have or develop severe acute pancreatitis. Gut. 1999;44(4):542–544. doi: 10.1136/gut.44.4.542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Banks PA, Bollen TL, Dervenis C, et al. Acute Pancreatitis Classification Working Group Classification of acute pancreatitis – 2012: revision of the Atlanta classification and definitions by international consensus. Gut. 2013;62(1):102–111. doi: 10.1136/gutjnl-2012-302779. [DOI] [PubMed] [Google Scholar]
- 12.Muniraj T, Dang S, Pitchumoni CS. PANCREATITIS OR NOT? – elevated lipase and amylase in ICU patients. J Crit Care. 2015;30(6):1370–1375. doi: 10.1016/j.jcrc.2015.08.020. [DOI] [PubMed] [Google Scholar]
- 13.Agrawal A, Parikh M, Thella K, Jasdanwala S. Acute pancreatitis with normal lipase and amylase: an ED dilemma. Am J Emerg Med. 2016;34(11):2254.e3–2254.e6. doi: 10.1016/j.ajem.2016.05.023. [DOI] [PubMed] [Google Scholar]
- 14.Barbieri JS, Riggio JM, Jaffe R. Amylase testing for abdominal pain and suspected acute pancreatitis. J Hosp Med. 2016;11(5):366–368. doi: 10.1002/jhm.2544. [DOI] [PubMed] [Google Scholar]
- 15.Chase CW, Barker DE, Russell WL, Burns RP. Serum amylase and lipase in the evaluation of acute abdominal pain. Am Surg. 1996;62(12):1028–1033. [PubMed] [Google Scholar]
- 16.Yadav D, Agarwal N, Pitchumoni CS. A critical evaluation of laboratory tests in acute pancreatitis. Am J Gastroenterol. 2002;97(6):1309–1318. doi: 10.1111/j.1572-0241.2002.05766.x. [DOI] [PubMed] [Google Scholar]
- 17.Hong WD, Chen XR, Jin SQ, Huang QK, Zhu QH, Pan JY. Use of an artificial neural network to predict persistent organ failure in patients with acute pancreatitis. Clinics (Sao Paulo) 2013;68(1):27–31. doi: 10.6061/clinics/2013(01)RC01. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lin S, Hong W, Basharat Z, Wang Q, Pan J, Zhou M. Blood urea nitrogen as a predictor of severe acute pancreatitis based on the revised Atlanta criteria: timing of measurement and cutoff points. Can J Gastroenterol Hepatol. 2017;2017:9592831. doi: 10.1155/2017/9592831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Cheng KH, Chu CS, Lin TH, Lee KT, Sheu SH, Lai WT. Lipid paradox in acute myocardial infarction-the association with 30-day in-hospital mortality. Crit Care Med. 2015;43(6):1255–1264. doi: 10.1097/CCM.0000000000000946. [DOI] [PubMed] [Google Scholar]
- 20.Price JC, Seaberg EC, Latanich R, et al. Risk factors for fatty liver in the Multicenter AIDS Cohort Study. Am J Gastroenterol. 2014;109(5):695–704. doi: 10.1038/ajg.2014.32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Hong W, Dong L, Huang Q, Wu W, Wu J, Wang Y. Prediction of severe acute pancreatitis using classification and regression tree analysis. Dig Dis Sci. 2011;56(12):3664–3671. doi: 10.1007/s10620-011-1849-x. [DOI] [PubMed] [Google Scholar]
- 22.Lankisch PG, Apte M, Banks PA. Acute pancreatitis. Lancet. 2015;386(9988):85–96. doi: 10.1016/S0140-6736(14)60649-8. [DOI] [PubMed] [Google Scholar]
- 23.de Mestral C, Rotstein OD, Laupacis A, et al. Comparative operative outcomes of early and delayed cholecystectomy for acute cholecystitis: a population-based propensity score analysis. Ann Surg. 2014;259(1):10–15. doi: 10.1097/SLA.0b013e3182a5cf36. [DOI] [PubMed] [Google Scholar]
- 24.Ali MS, Groenwold RH, Klungel OH. Best (but oft-forgotten) practices: propensity score methods in clinical nutrition research. Am J Clin Nutr. 2016;104(2):247–258. doi: 10.3945/ajcn.115.125914. [DOI] [PubMed] [Google Scholar]
- 25.Cho JH, Kim TN, Kim SB. Comparison of clinical course and outcome of acute pancreatitis according to the two main etiologies: alcohol and gallstone. BMC Gastroenterol. 2015;15:87. doi: 10.1186/s12876-015-0323-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sakorafas GH, Tsiotou AG. Etiology and pathogenesis of acute pancreatitis: current concepts. J Clin Gastroenterol. 2000;30(4):343–356. doi: 10.1097/00004836-200006000-00002. [DOI] [PubMed] [Google Scholar]
- 27.Murphy MJ, Sheng X, MacDonald TM, Wei L. Hypertriglyceridemia and acute pancreatitis. JAMA Intern Med. 2013;173(2):162–164. doi: 10.1001/2013.jamainternmed.477. [DOI] [PubMed] [Google Scholar]
- 28.Wong EC, Butch AW, Rosenblum JL. The clinical chemistry laboratory and acute pancreatitis. Clin Chem. 1993;39(2):234–243. [PubMed] [Google Scholar]
- 29.Tall AR, Yvan-Charvet L. Cholesterol, inflammation and innate immunity. Nat Rev Immunol. 2015;15(2):104–116. doi: 10.1038/nri3793. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Warzecha Z, Sendur P, Ceranowicz P, et al. Therapeutic effect of low doses of acenocoumarol in the course of ischemia/reperfusion-induced acute pancreatitis in rats. Int J Mol Sci. 2017;18(4):882. doi: 10.3390/ijms18040882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Warzecha Z, Sendur P, Ceranowicz P, et al. Protective effect of pretreatment with acenocoumarol in cerulein-induced acute pancreatitis. Int J Mol Sci. 2016;17(10):1709. doi: 10.3390/ijms17101709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Warzecha Z, Sendur P, Ceranowicz P, et al. Pretreatment with low doses of acenocoumarol inhibits the development of acute ischemia/reperfusion-induced pancreatitis. J Physiol Pharmacol. 2015;66(5):731–740. [PubMed] [Google Scholar]
- 33.Fukunaga S, Nagami Y, Shiba M, et al. Long-term prognosis of expanded-indication differentiated-type early gastric cancer treated with endoscopic submucosal dissection or surgery using propensity score analysis. Gastrointest Endosc. 2017;85(1):143–152. doi: 10.1016/j.gie.2016.06.049. [DOI] [PubMed] [Google Scholar]
- 34.Pirracchio R, Resche-Rigon M, Chevret S. Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample size. BMC Med Res Methodol. 2012;12:70. doi: 10.1186/1471-2288-12-70. [DOI] [PMC free article] [PubMed] [Google Scholar]