Lipid profile changes and importance of low serum α-lipoprotein fraction (high-density lipoprotein) in cases with acute pancreatitis

Impact of metabolic syndrome components on clinical outcomes in hypertriglyceridemia-induced acute pancreatitis

BACKGROUND

The incidence of hypertriglyceridemia (HTG)-induced acute pancreatitis (AP) is steadily increasing in China, becoming the second leading cause of AP. Clinical complications and outcomes associated with HTG-AP are generally more severe than those seen in AP caused by other etiologies. HTG-AP is closely linked to metabolic dysfunction and frequently coexists with metabolic syndrome or its components. However, the impact of metabolic syndrome components on HTG-AP clinical outcomes remains unclear.

AIM

To investigate the impact of metabolic syndrome component burden on clinical outcomes in HTG-AP.

METHODS

In this retrospective study of 255 patients diagnosed with HTG-AP at the First Affiliated Hospital of Guangxi Medical University, we collected data on patient demographics, clinical scores, complications, and clinical outcomes. Subsequently, we analyzed the influence of the presence and number of individual metabolic syndrome components, including obesity, hyperglycemia, hypertension, and low high-density lipoprotein cholesterol (HDL-C), on the aforementioned parameters in HTG-AP patients.

RESULTS

This study found that metabolic syndrome components were associated with an increased risk of various complications in HTG-AP, with low HDL-C being the most significant risk factor for clinical outcomes. The risk of complications increased with the number of metabolic syndrome components. Adjusted for age and sex, patients with high-component metabolic syndrome had significantly higher risks of renal failure [odds ratio (OR) = 3.02, 95%CI: 1.12-8.11)], SAP (OR = 5.05, 95%CI: 2.04-12.49), and intensive care unit admission (OR = 6.41, 95%CI: 2.42-16.97) compared to those without metabolic syndrome.

CONCLUSION

The coexistence of multiple metabolic syndrome components can synergistically worsen the clinical course of HTG-AP, making it crucial to monitor these components for effective disease management.

Predictive value of serum apolipoprotein A-I in the organ failure of acute pancreatitis: a retrospective cohort study

BACKGROUND

Organ failure (OF) largely governs the outcomes and mortality in patients with acute pancreatitis (AP), but there is a lack of optimal prognostic biomarker for OF. This study is designed to investigate whether the serum apolipoprotein A-I (Apo A-I) level can predict OF in patients with AP.

METHODS

A total of 424 patients with AP were reviewed in the study, and we finally got 228 patients eligible for analysis. Patients were divided into two groups based on serum Apo A-I level. Demographic information and clinical materials were retrospectively collected. The primary outcome was the occurrence of OF. Univariate and multivariate binary logistic regression were conducted to analyze the relationship between Apo A-I and OF. Additionally, we used receiver operating characteristic analysis to clarify the predictive value of serum Apo A-I level for OF and mortality.

RESULTS

Ninety-two patients and 136 patients were included in Apo A-I low and non-low groups, respectively. The occurrence of OF was significantly different in the two groups (35.9 vs. 9.6%, p < 0.001). Moreover, serum Apo A-I level markedly decreased across disease severity based on the 2012 Revised Atlanta Classification of AP. The decrease of serum apolipoprotein A-I was an independent risk factor for organ failure (OR: 6.216, 95% CI: 2.610, 14.806, p < 0.001). The area under the curve of serum Apo A-I was 0.828 and 0.889 for OF and mortality of AP, respectively.

CONCLUSIONS

Serum Apo A-I level in the early stage of the disease has a high predictive value for OF of AP.

Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis

BACKGROUND AND AIMS

This study aimed to develop an interpretable random forest model for predicting severe acute pancreatitis (SAP).

METHODS

Clinical and laboratory data of 648 patients with acute pancreatitis were retrospectively reviewed and randomly assigned to the training set and test set in a 3:1 ratio. Univariate analysis was used to select candidate predictors for the SAP. Random forest (RF) and logistic regression (LR) models were developed on the training sample. The prediction models were then applied to the test sample. The performance of the risk models was measured by calculating the area under the receiver operating characteristic (ROC) curves (AUC) and area under precision recall curve. We provide visualized interpretation by using local interpretable model-agnostic explanations (LIME).

RESULTS

The LR model was developed to predict SAP as the following function: -1.10-0.13×albumin (g/L) + 0.016 × serum creatinine (μmol/L) + 0.14 × glucose (mmol/L) + 1.63 × pleural effusion (0/1)(No/Yes). The coefficients of this formula were utilized to build a nomogram. The RF model consists of 16 variables identified by univariate analysis. It was developed and validated by a tenfold cross-validation on the training sample. Variables importance analysis suggested that blood urea nitrogen, serum creatinine, albumin, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, calcium, and glucose were the most important seven predictors of SAP. The AUCs of RF model in tenfold cross-validation of the training set and the test set was 0.89 and 0.96, respectively. Both the area under precision recall curve and the diagnostic accuracy of the RF model were higher than that of both the LR model and the BISAP score. LIME plots were used to explain individualized prediction of the RF model.

CONCLUSIONS

An interpretable RF model exhibited the highest discriminatory performance in predicting SAP. Interpretation with LIME plots could be useful for individualized prediction in a clinical setting. A nomogram consisting of albumin, serum creatinine, glucose, and pleural effusion was useful for prediction of SAP.

Dynamic changes of lipid profile in severe hypertriglyceridemia-induced acute pancreatitis patients under double filtration plasmapheresis: a retrospective observational study

Background

To investigate the dynamic change of lipid profile under double filtration plasmapheresis (DFPP) in severe hypertriglyceridemia-induced acute pancreatitis (sHTGP) patients and ascertain the association between these changes and the clinical prognosis.

Methods

sHTGP patients admitted within 72 h after disease onset were included, and all the patients received DFPP within 24 h after admission. Lipid profile were detected on admission, consecutive 4 days after DFPP and at discharge.

Results

There were 47 sHTGP patients enrolled in this study. At admission, all the parameters of lipid profile changed significantly except for low density lipoprotein. In the first day after DFPP, the serum level of TG, cholesterol and very low density lipoprotein declined significantly, while the high-density lipoprotein (HDL) as well as apoprotein A1 elevated obviously (P < 0.05). TG maintained the downward trend in the following three days and the other parameters kept steady. Linear regression analysis showed that HDL was negatively correlated with the duration of hospitalization among three adjusted models (P = 0.043, P = 0.029, P = 0.025 respectively).

Conclusion

There was distinct fluctuation of the lipid profile upon the burst of sHTGP and the parameters changed significantly in the first day after DFPP. Among these parameters, HDL may serve as a biomarker for disease prognosis in patients with sHTGP.

Clinical Application of Metabolomics in Pancreatic Diseases: A Mini-Review

Metabolomics is a powerful new analytical method to describe the set of metabolites within cellular tissue and bodily fluids. Metabolomics can uncover detailed information about metabolic changes in organisms. The morphology of these metabolites represents the metabolic processes that occur in cells, such as anabolism, catabolism, inhomogeneous natural absorption and metabolism, detoxification, and metabolism of biomass energy. Because the metabolites of different diseases are different, the specificity of the changes can be found by metabolomics testing, which provides a new source of biomarkers for the early identification of diseases and the difference between benign and malignant states. Metabolomics has a wide application potential in pancreatic diseases, including early detection, diagnosis, and identification of pancreatic diseases. However, there are few studies on metabolomics in pancreatic diseases in the literature. This article reviews the application of metabolomics in the diagnosis, prognosis, treatment, and evaluation of pancreatic diseases.

Serum apolipoprotein B-to-apolipoprotein A1 ratio is independently associated with disease severity in patients with acute pancreatitis

Early identification of severe acute pancreatitis (SAP) is critical for clinical decision-making. The apolipoprotein B-to-apolipoprotein A1 ratio (ApoB/A1 ratio) reflects the balance between pro-inflammation and anti-inflammation in vivo. This study investigated the association between serum ApoB/A1 ratio at admission and acute pancreatitis (AP) severity. A total of 375 patients with first attack of AP were retrospectively recruited from January 2014 to December 2017. The severity of AP was assessed at admission based on the 2012 revised Atlanta Classification. Serum lipids levels were tested on the first 24 h of hospitalization, of which the correlations with clinical features or scoring systems were also measured. The ApoB/A1 ratio markedly increased across disease severity of AP. The ApoB/A1 ratio, expressed as both quartile and continuous variables, was significantly associated with a high risk of SAP, even after adjustment for other conventional SAP risk factors. The ApoB/A1 ratio positively correlated with the revised 2012 Atlanta Classification, Ranson score, Bedside Index for Severity in AP score, Modified Computed Tomography Severity Index score, and Acute Physiology and Chronic Health Evaluation II score for AP severity. The optimal cut-off value of ApoB/A1 ratio for detecting SAP was 0.88, with a sensitivity of 83.08% and a specificity of 69.03%. Serum ApoB/A1 ratio at admission is closely correlated with disease severity in patients with AP and can serve as a reliable indicator for SAP in clinical setting.

Predictive value of apolipoprotein B and A-I ratio in severe acute pancreatitis

BACKGROUND AND AIM

Severe acute pancreatitis (SAP) has considerable mortality and morbidity rates. Although many indices have been developed to classify the severity of acute pancreatitis (AP), an optimal method for predicting SAP has not been identified. The ratio of apolipoprotein B to A-I (apoB/A-I) is associated with metabolic syndrome and inflammatory status. This study investigated the association between severity of AP and serum apoB/A-I ratio.

METHODS

Patients with AP were prospectively enrolled at Yonsei University Wonju College of Medicine from March 2015 to August 2016. The severity of AP was assessed according to the revised Atlanta classification criteria (Atlanta 2012).

RESULTS

Of 191 patients with AP, 134 (70.2%) had mild AP, 42 (22%) had moderately severe AP, and 15 (7.9%) had SAP; apoB/A-I ratio was highest in patients with SAP (P = 0.001). The apoB/A-I ratio was positively correlated with Atlanta classification, computed tomography severity index, and Bedside index for severity of AP. The apoB/A-I ratio showed the highest predictive value for SAP in patients with AP compared with apolipoprotein B or apolipoprotein A-I alone.

CONCLUSION

Serum apoB/A-I ratio appears to have value for predicting SAP in patients with AP.

Relationship between low-density lipoprotein cholesterol and severe acute pancreatitis ("the lipid paradox")

BACKGROUND AND AIM

The aim of this study was to investigate the association between low-density lipoprotein cholesterol (LDL-C) and the development of severe acute pancreatitis (SAP).

PATIENTS AND METHODS

A total of 674 patients with acute pancreatitis were enrolled. Non-linearity in the relationship between LDL-C and SAP was assessed by restricted cubic spline analysis. Univariable and multivariable regression analyses were used to identify independent risk factors of SAP.

RESULTS

The restricted cubic spline analysis suggested a nonlinear association between high-density lipoprotein cholesterol (HDL-C), LDL-C and triglyceride levels and incidence of SAP. The incidence of SAP in patients with low LDL-C (<90 mg/dL), moderate LDL-C (90-150 mg/dL) and high LDL-C (>150 mg/dL) levels was 15.1%, 3.7% and 9.8%, respectively. Multivariable analysis confirmed that low LDL-C levels (odds ratio [OR] 3.05; 95% confidence interval [CI] 1.35-6.90), high LDL-C levels (OR 4.42; 95% CI 1.41-13.87) and low HDL-C levels (OR 6.90; 95% CI 2.61-18.23) but not high triglyceride levels (OR 1.05; 95% CI 0.40-2.72) were associated with the development of SAP.

CONCLUSION

Both low LDL-C (<90 mg/dL) and high LDL-C (>150 mg/dL) levels within 24 hours from admission are independently associated with an increased risk of SAP.

Analysis of Factors Associated with the Severity of Acute Pancreatitis according to Etiology

Background

The objective of this study was to determine the factors associated with severity of acute pancreatitis (AP) according to two major etiologies: alcohol and gallstones.

Methods

We reviewed the medical records of consecutive patients who were admitted with AP between January 2003 and January 2013. A total of 905 patients with AP (660 alcohol-induced, 245 gallstone-induced) were enrolled. Among them, severe AP (SAP) occurred in 72 patients (53 alcohol-induced, 19 gallstone-induced). Contributing factors between patients with and without SAP were analyzed according to the etiology.

Results

Multivariate analysis demonstrated that current smoking, pancreatic necrosis, and bacteremia were associated with AP severity in both alcohol- and gallstone-induced AP. Pancreatic fluid collection was significantly associated with alcohol-induced SAP (p = 0.04), whereas dyslipidemia was significantly associated with gallstone-induced SAP (p = 0.01). Body mass index was significantly correlated with the Bedside Index of Severity in Acute Pancreatitis score in both alcohol- and gallstone-induced AP (p = 0.03 and 0.01, resp.).

Conclusions

Current smoking, pancreatic necrosis, and bacteremia can aggravate the clinical course of AP. Pancreatic fluid collection and dyslipidemia were associated with AP severity according to the different etiologies. Obesity may also be associated with AP severity in both etiologies.

Early prediction of persistent organ failure by serum apolipoprotein A-I and high-density lipoprotein cholesterol in patients with acute pancreatitis

BACKGROUND

Early identification of acute pancreatitis (AP) patients at high-risk of developing persistent organ failure (persistent OF) is a vital clinical goal. This research intends to assess the ability of apolipoprotein A-I (APO A-I) and high-density lipoprotein cholesterol (HDL-C) to predict persistent OF.

METHODS

Between January 2011 and September 2016, a total of 102 adult AP patients with organ failure, local complications or deterioration of former comorbidities disease during hospitalization were included in this study retrospectively. Serum lipids were tested and computed the correlation with clinical outcomes or scoring systems. The AUCs to predict persistent OF were also calculated and compared with each other.

RESULTS

Serum APO A-I and HDL-C levels were negatively associated with scoring systems. Meanwhile, serum lipids were negatively correlated with poor clinical outcomes. The AUCs of APO A-I, HDL-C, the combination of APO A-I and BISAP, or the combination of APO A-I and MCTSI to predict persistent OF among Moderately severe acute pancreatitis (MSAP) and Severe acute pancreatitis (SAP) patients were 0.886, 0.811, 0.912, and 0.900 or among those with organ failure were 0.915, 0.859, 0.933, and 0.933, respectively.

CONCLUSIONS

The concentrations of APO A-I, HDL-C, and the combinations of APO A-I and scoring systems have high predictive value to predict persistent OF.

Decreased high density lipoprotein cholesterol is an independent predictor for persistent organ failure, pancreatic necrosis and mortality in acute pancreatitis

High density lipoprotein cholesterol (HDL-C) has been reported as a significant indicator of systemic inflammation. The association underlying HDL-C and persistent organ failure (POF), pancreatic necrosis (PNec) and mortality in acute pancreatitis (AP) has not been evaluated. From 2007 to 2016, consecutive AP patients with admission lipid profiles assessment were included in this study. The association of HDL-C value and other lipids with outcomes was explored with Cox proportional regression models, which were adjusted for confounding factors. 1131 consecutive AP patients were clinically eligible. Overall, 17.9% of the patients developed with POF, 27.1% experienced PNec, and 6.7% died during hospitalization. Lower HDL-C median (<1.06 mmol/L) was identified as an independent prognostic factor of the outcomes. Moreover, there was a positive trend for the association across increasing HDL-C quartiles and POF, PNec and mortality after multivariable analysis (p values were <0.001, <0.001 and 0.043, respectively). The AUC of HDL-C for the outcomes were comparable to that of Ranson score for diagnosing POF (0.778 vs. 0.678; P < 0.001), PNec (0.734 vs. 0.701; P = 0.143) and mortality (0.768 vs. 0.745; P = 0.516). Decreased HDL-C value is an independent risk factor for the incidence of POF, PNec and in-hospital mortality in AP.

High-Density Lipoprotein Cholesterol, Blood Urea Nitrogen, and Serum Creatinine Can Predict Severe Acute Pancreatitis

BACKGROUND AND AIMS

Early prediction of disease severity of acute pancreatitis (AP) would be helpful for triaging patients to the appropriate level of care and intervention. The aim of the study was to develop a model able to predict Severe Acute Pancreatitis (SAP).

METHODS

A total of 647 patients with AP were enrolled. The demographic data, hematocrit, High-Density Lipoprotein Cholesterol (HDL-C) determinant at time of admission, Blood Urea Nitrogen (BUN), and serum creatinine (Scr) determinant at time of admission and 24 hrs after hospitalization were collected and analyzed statistically.

RESULTS

Multivariate logistic regression indicated that HDL-C at admission and BUN and Scr at 24 hours (hrs) were independently associated with SAP. A logistic regression function (LR model) was developed to predict SAP as follows: -2.25-0.06 HDL-C (mg/dl) at admission + 0.06 BUN (mg/dl) at 24 hours + 0.66 Scr (mg/dl) at 24 hours. The optimism-corrected c-index for LR model was 0.832 after bootstrap validation. The area under the receiver operating characteristic curve for LR model for the prediction of SAP was 0.84.

CONCLUSIONS

The LR model consists of HDL-C at admission and BUN and Scr at 24 hours, representing an additional tool to stratify patients at risk of SAP.

Comparison of BISAP, Ranson, MCTSI, and APACHE II in Predicting Severity and Prognoses of Hyperlipidemic Acute Pancreatitis in Chinese Patients

In recent years, with the developing of living standard, hyperlipidemia becomes the second major reason of acute pancreatitis. It is important to predict the severity and prognosis at early stage of hyperlipidemic acute pancreatitis (HLAP). We compared the BISAP, Ranson, MCTSI, and APACHE II scoring system in predicting MSAP and SAP, local complications, and mortality of HLAP. A total of 326 diagnosed hyperlipidemic acute pancreatitis patients from August 2006 to July 2015 were studied retrospectively. Our result showed that all four scoring systems can be used to predict the severity, local complications, and mortality of HLAP. Ranson did not have significant advantage in predicting severity and prognosis of HLAP compared to other three scoring systems. APACHE II was the best in predicting severity of HLAP, but it had shortcoming in predicting local complications. MCTSI had outstanding performance in predicting local complications, but it was poor in predicting severity and mortality. BISAP score had high accuracy in assessment of severity, local complications, and mortality of HLAP, but the accuracy still needs to be improved in the future.

Serum Metabonomics of Mild Acute Pancreatitis

BACKGROUND

Mild acute pancreatitis (MAP) is a common acute abdominal disease, and exhibits rising incidence in recent decades. As an important component of systemic biology, metabonomics is a new discipline developed following genomics and proteomics. In this study, the objective was to analyze the serum metabonomics of patients with MAP, aiming to screen metabolic markers with potential diagnostic values.

METHODS

An analysis platform with ultra performance liquid chromatography-high-resolution mass spectrometry was used to screen the difference metabolites related to MAP diagnosis and disease course monitoring.

RESULTS

A total of 432 endogenous metabolites were screened out from 122 serum samples, and 49 difference metabolites were verified, among which 12 difference metabolites were identified by nonparametric test. After material identification, eight metabolites exhibited reliable results, and their levels in MAP serum were higher than those in healthy serum. Four metabolites exhibited gradual downward trend with treatment process going on, and the differences were statistically significant (P < 0.05).

CONCLUSION

Metabonomic analysis has revealed eight metabolites with potential diagnostic values toward MAP, among which four metabolites can be used to monitor the disease course.

Different Clinical Presentations of Hyperlipidemic Acute Pancreatitis: A Retrospective Study

OBJECTIVES

The goal of this study was to summarize the clinical features of hyperlipidemic acute pancreatitis (HLAP), and help clinicians understand the characteristic presentations of HLAP.

METHODS

From July 2009 to June 2013, 1073 cases of acute pancreatitis were retrospectively assessed. The clinical characteristics of HLAP and non-HLAP were statistically analyzed.

RESULTS

The etiologic ratio of HLAP in acute pancreatitis rose from 13% in 2009 to 25.6% in 2013. Diabetes mellitus, fatty liver, and acute pancreatitis recurrence were positively correlated with HLAP, and female sex, age (>60 years), and alkaline phosphatase level were negatively correlated with HLAP. The diagnostic accuracy of amylase in HLAP was only 40.38%, compared with lipase (91.83%). Different cutoff points of serum triglyceride on day 1 (5.33 mmol/L), day 2 (2.77 mmol/L), and day 3 (2.18 mmol/L) could be used to obtain an accurate diagnosis of HLAP. Higher incidences of acute peripancreatic fluid collection, renal failure, and severe acute pancreatitis were also observed in patients with HLAP.

CONCLUSIONS

Different clinical presentations of HLAP should be applied to be distinguished from non-HLAP in the clinic.

Serum levels of apolipoprotein A-I and high-density lipoprotein can predict organ failure in acute pancreatitis

Introduction

Predicting severity of pancreatitis is an important goal. Clinicians are still searching for novel and simple biomarkers that can better predict persistent organ failure (OF). Lipoproteins, especially high-density lipoprotein (HDL), and apolipoprotein A-I (APO A-I), have been shown to have anti-inflammation effects in various clinical settings. Severe acute pancreatitis (SAP) is associated with hypo-lipoproteinemia. We studied whether the concentrations of HDL and APO A-I can predict persistent OF in patients with predicted SAP admitted to the ICU.

Methods

In 66 patients with predicted SAP, we prospectively evaluated the relationship between lipid levels, inflammatory cytokines and clinical outcomes, including persistent OF and hospital mortality. Blood samples were obtained within 24 hours of admission to the ICU.

Results

HDL and APO A-I levels were inversely correlated with various disease severity scores. Patients with persistent OF had lower levels of HDL and APO A-I, while those with transient OF had lower levels of interleukin-6, tumor necrosis factor-α and lower rates of hospital mortality. Meanwhile, hospital non-survivors had lower concentrations of HDL, and APO A-I compared to the survivors. By using the area under the receiver operating characteristic (AUROC) curve, both HDL and APO A-I demonstrated an excellent discriminative power for predicting persistent OF among all patients (AUROC 0.912 and 0.898 respectively) and among those with OF (AUROC 0.904 and 0.895 respectively). Pair-wise comparison of AUROC showed that both HDL and APO A-I had better discriminative power than C-reactive protein to predict persistent OF.

Conclusions

Serum levels of HDL and APO A-I at admission to the ICU are inversely correlated with disease severity in patients with predicted SAP and can predict persistent OF in this clinical setting.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-015-0832-x) contains supplementary material, which is available to authorized users.

Serum lipid levels are associated with the severity of acute pancreatitis

BACKGROUND/AIMS

Serum lipid concentrations react during acute disease. We sought to measure changes in the serum lipid profile during acute pancreatitis and ascertain whether these changes were associated with the severity of the disease.

METHODS

A total of 233 patients (71% male, median age 48 years) hospitalized for acute pancreatitis were included in the study. The most common etiology for acute pancreatitis was alcohol (n = 131, 56%), followed by biliary (n = 48, 21%) and idiopathic pancreatitis (n = 36, 16%). Serum lipid levels were measured enzymatically. We analyzed samples obtained during the first days of hospitalization and later follow-up samples to measure changes during the course of the disease.

RESULTS

We report profound changes in the serum lipid concentrations during acute pancreatitis. Serum total cholesterol, high-density lipoprotein (HDL) cholesterol and low-density lipoprotein (LDL) cholesterol concentrations measured within 2 days of admission (n = 203) were significantly lower in patients who developed severe pancreatitis (3.20 vs. 3.80 mmol/l, p = 0.001; 0.72 vs. 1.05 mmol/l, p < 0.000, and 1.60 vs. 2.14 mmol/l, p < 0.000, respectively). Low serum total cholesterol, HDL cholesterol and LDL cholesterol concentrations were moreover associated with in-hospital mortalities and longer hospitalization (p < 0.05). In the subgroup analysis, the findings remained statistically significant in patients with alcohol-induced acute pancreatitis.

CONCLUSION

Levels of serum total cholesterol, HDL cholesterol and LDL cholesterol are significantly lower in patients with severe acute pancreatitis and are associated with longer hospitalization.