Hypertriglyceridemia is a risk factor for acute kidney injury in the early phase of acute pancreatitis

The Value of Bedside Ultrasound Evaluation of Intravenous Ultrasound Grading System Combined with TyG Index in Predicting Acute Renal Injury in Patients with Acute Hyperlipidemic Pancreatitis

Aims/Background Bedside ultrasound evaluation of venous excess ultrasound (VExUS) combined with the triglyceride-glucose (TyG) index plays an important role in predicting acute kidney injury (AKI) in patients with acute hyperlipidemic pancreatitis. VExUS can effectively evaluate the degree of venous congestion, while the TyG index is valuable in predicting severe pancreatitis. The combination of these two methods is expected to provide a more accurate AKI risk assessment tool for clinical practice. This study explores the value of combining bedside ultrasound evaluation using the VExUS grading system with the TyG index in predicting acute renal damage in patients with acute hyperlipidemic pancreatitis. Methods From January 2021 to December 2023, 110 patients with acute hyperlipidemic pancreatitis were selected. The patients were divided into two groups based on whether they were complicated with acute kidney injury (AKI): the AKI group (n = 23) and the non-AKI group (n = 87). The general data of the two groups were compared, and the risk factors for AKI in patients with acute hyperlipidemic pancreatitis were analyzed using multivariate logistic regression. The predictive value was assessed using receiver operating characteristic curve (ROC) analysis. Results There were no statistically significant differences in age, gender, outcome, triglyceride (TG), total cholesterol, low-density lipoprotein (LDL) levels at admission, blood nutrition at discharge, creatinine (CREA) at discharge, underlying diseases, start time of enteral nutrition, complications, length of stay, Intensive Care Unit (ICU) days, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, blood glucose level, blood amylase level, CREA, blood urine nitrogen (BUN), blood purification treatment (p > 0.05). However, there were significant differences (p < 0.05) between the TyG index and the VExUS score, with variables including the TyG index and the VExUS score (included in the logistic regression analysis as variables), and AKI (AKI = 1, non-AKI = 0) as dependent variables. Multiple logistic regression results showed that the TyG index and VExUS score were independent predictors of AKI in patients with acute hyperlipidemia pancreatitis (p < 0.05). The standard error, sensitivity and specificity of the TyG index, VExUS score and combined model for predicting AKI in these patients were 0.064, 73.91 and 87.45; 0.036, 78.16 and 95.65; 0.010, 100.00 and 95.65, respectively (p < 0.05). Conclusion The VExUS score combined with the TyG index is highly valuable in predicting AKI in patients with acute hyperlipidemic pancreatitis.

Congenital Hyperlipidemia in Infants for Congenital Cardiac Surgery

Infants with concurrent severe hypertriglyceridemia and complex congenital heart disease are a rare occurrence and can have life-threatening consequences when undergoing surgical intervention. This case series outlines two instances involving infants undergoing total anomalous pulmonary venous connection repair and surgical closure of a ventricular septal defect. The study explores troubleshooting the effects of hypertriglyceridemia on perioperative outcomes.

Automated machine learning for early prediction of acute kidney injury in acute pancreatitis

BACKGROUND

Acute kidney injury (AKI) represents a frequent and grave complication associated with acute pancreatitis (AP), substantially elevating both mortality rates and the financial burden of hospitalization. The aim of our study is to construct a predictive model utilizing automated machine learning (AutoML) algorithms for the early prediction of AKI in patients with AP.

METHODS

We retrospectively analyzed patients who were diagnosed with AP in our hospital from January 2017 to December 2021. These patients were randomly allocated into a training set and a validation set at a ratio of 7:3. To develop predictive models for each set, we employed the least absolute shrinkage and selection operator (LASSO) algorithm along with AutoML. A nomogram was developed based on multivariate logistic regression analysis outcomes. The model's efficacy was assessed using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Additionally, the performance of the model constructed via AutoML was evaluated using decision curve analysis (DCA), feature importance, SHapley Additive exPlanations (SHAP) plots, and locally interpretable model-agnostic explanations (LIME).

RESULTS

This study incorporated a total of 437 patients who met the inclusion criteria. Out of these, 313 were assigned to the training cohort and 124 to the validation cohort. In the training and validation cohorts, AKI occurred in 68 (21.7%) and 29(23.4%) patients, respectively. Comparative analysis revealed that the AutoML models exhibited enhanced performance over traditional logistic regression (LR). Furthermore, the deep learning (DL) model demonstrated superior predictive accuracy, evidenced by an area under the ROC curve of 0.963 in the training set and 0.830 in the validation set, surpassing other comparative models. The key variables identified as significant in the DL model within the training dataset included creatinine (Cr), urea (Urea), international normalized ratio (INR), etiology, smoking, alanine aminotransferase (ALT), hypertension, prothrombin time (PT), lactate dehydrogenase (LDH), and diabetes.

CONCLUSION

The AutoML model, utilizing DL algorithm, offers considerable clinical significance in the early detection of AKI among patients with AP.

Association between triglyceride-glucose index and AKI in ICU patients based on MIMICIV database: a cross-sectional study

BACKGROUND

Methods for early prediction of the occurrence of acute kidney injury (AKI) were limited. The relationship between triglyceride glucose index (TyG) and the incidence of acute kidney injury in ICU patients is unclear. This study aims to explore the relationship between the two.

METHODS

Based on their TyG index, participants from the Intensive Care Medical Information Market IV (MIMIC-IV) were divided into quartiles. A logistic regression model was constructed based on the risk of acute kidney injury as the main outcome, in order to detect a potential relationship that may exist between the TyG index and acute kidney injury in ICU patients. Finally, in order to confirm the relationship existing between the TyG index and the results, a restricted cubic spline model was used.

RESULTS

In total, 54,263 patients were involved in our present study, of whom 48.2% were male. The occurrence of acute kidney injury was 25.1%. An independent relationship was observed between the TyG index and an increased risk of acute kidney injury through multivariate logistic regression analysis (OR, 1.28 [95% CI 1.22-1.35] p < 0.001). Q4 (5.344-9.911) of the TyG index quartiles was independently associated with an increase in the risk of acute kidney injury (OR, 1.43 [95% CI (1.32-1.54)] p < 0.001). Through the restricted cubic spline regression model, the risk of acute kidney injury was also demonstrated to increase linearly with an increase in the TyG index.

CONCLUSION

The triglyceride glucose index is related to the risk of acute kidney injury in ICU patients. In the future, in order to further validate this finding, larger prospective studies are needed.

Hypertriglyceridemia as a risk factor for complications of acute pancreatitis and the development of a severity prediction model

BACKGROUND

Hypertriglyceridemia (HTG) is a major cause of acute pancreatitis (AP). We aimed to determine whether HTG is an independent risk factor for AP complications and construct a prediction model for non-mild AP.

METHODS

We conducted a multi-center cohort study including 872 patients with AP and divided them into HTG-AP and non-HTG-AP groups. Multivariate logistic regression was performed, and a prediction model for non-mild HTG-AP was developed.

RESULTS

HTG-AP patients had a higher risk of systemic complications, including systemic inflammatory response syndrome [odds ratio (OR): 1.718; 95% confidence interval (CI): 1.286-2.295], shock (OR: 2.103; 95%CI: 1.236-3.578), acute respiratory distress syndrome (OR: 2.231; 95%CI: 1.555-3.200), acute renal failure (OR: 1.593; 95%CI: 1.036-2.450), and local complications such as acute peripancreatic fluid collection (OR: 2.072; 95%CI: 1.550-2.771), acute necrotic collection (OR: 1.996; 95%CI: 1.394-2.856), and walled-off necrosis (OR: 2.157; 95%CI: 1.202-3.870). The area under curve of our prediction model was 0.898 (95%CI: 0.857-0.940) and 0.875 (95%CI: 0.804-0.946) in the derivation and validation datasets respectively.

CONCLUSION

HTG is an independent risk factor for AP complications. We constructed a simple and accurate prediction model for progression of non-mild AP.

Elevated Serum Triglyceride Levels in Acute Pancreatitis: A Parameter to be Measured and Considered Early

BACKGROUND

The value of serum triglycerides (TGs) related to complications and the severity of acute pancreatitis (AP) has not been clearly defined. Our study aimed to analyze the association of elevated levels of TG with complications and the severity of AP.

METHODS

The demographic and clinical data of patients with AP were prospectively analyzed. TG levels were measured in the first 24 h of admission. Patients were divided into two groups: one with TG values of<200 mg/dL and another with TG≥200 mg/dL. Data on the outcomes of AP were collected.

RESULTS

From January 2016 to December 2019, 247 cases were included: 200 with TG<200 mg/dL and 47 with TG≥200 mg/dL. Triglyceride levels≥200 mg/dL were associated with respiratory failure (21.3 vs. 10%, p=0.033), renal failure (23.4 vs. 12%, p=0.044), cardiovascular failure (19.1 vs. 7.5%, p=0.025), organ failure (34 vs. 18.5%, p=0.02), persistent organ failure (27.7 vs. 9.5%, p=0.001), multiple organ failure (19.1 vs. 8%, p=0.031), moderately severe and severe AP (68.1 vs. 40.5%, p=0.001), pancreatic necrosis (63.8 vs. 34%, p<0.001), and admission to the intensive care unit (27.7 vs. 9.5%, p=0.003). In the multivariable analysis, a TG level of≥200 mg/dL was independently associated with respiratory, renal, and cardiovascular failure, organ failure, persistent organ failure, multiple organ failure, pancreatic necrosis, severe pancreatitis, and admission to the intensive care unit (p<0.05).

CONCLUSIONS

In our cohort, TG≥200 mg/dL was related to local and systemic complications. Early determinations of TG levels in AP could help identify patients at risk of complications.

Hyperlipemia pancreatitis onset time affects the association between elevated serum triglyceride levels and disease severity

Background

The association of serum triglyceride (TG) levels with the severity of hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) remains controversial. This study aimed to comprehensively assess the TG levels from the initial onset and their predictive value in the disease assessment of HTG-AP.

Methods

Data collected from January 2018 to July 2021 in one institute were assessed retrospectively. HTG-AP was defined as a TG level > 500 mg/dL in the absence of other common aetiologies of AP. The TG levels within 24 hours (24 h), 48 hours (48 h), 3-4 days (3-4 d), and 5-7 days (5-7 d) after symptom onset and their correlations with disease severity in HTG-AP patients were analysed by cross-sectional and longitudinal studies.

Results

In the cross-sectional study, 377 HTG-AP patients were included before lipid-lowering intervention: 216 subjects had their first TG levels measured within 24 h after onset, 91 within 48 h, 50 in 3-4 d, and 20 in 5-7 d. TG levels decreased in the 24 h, 48 h and 3-4 d groups (P < 0.001), however, the TG decline in the 5-7 d group had no difference compared with the 3-4 d group. HTG-AP patients with severe or moderately severe disease displayed higher TG levels than those with mild disease in the 24 h and 48 h groups (P < 0.050) but not in the 3-4 d or 5-7 d groups. Furthermore, the TG levels were correlated with the modified computed tomography severity index only in the 24 h and 48 h groups, while an association between serum calcium levels and C-reactive protein levels was only present in the 24 h group. Similarly, the TG levels were related to hospital days and ICU days in the 24 h and/or 48 h groups. In the longitudinal study, 165 patients with complete records of TG levels from 24 h to 5-7 d were enrolled. With supportive care and lipid-lowering treatment after admission, the TG levels declined rapidly (P < 0.001), and the correlations with disease severity weakened or even disappeared from 24 h to 5-7 d.

Conclusion

TG levels decreased and attenuated the association with disease severity of HTG-AP over the time of onset. The TG levels within the initial 48 h after onset were most useful for the diagnosis and disease assessment of HTG-AP.

Hypertriglyceridemia Acute Pancreatitis: Animal Experiment Research

In recent years, the number of acute pancreatitis cases caused by hypertriglyceridemia has increased gradually, which has caught the attention of the medical community. However, because the exact mechanism of hypertriglyceridemic acute pancreatitis (HTG-AP) is not clear, treatment and prevention in clinical practice face enormous challenges. Animal models are useful for elucidating the pathogenesis of diseases and developing and testing novel interventions. Therefore, animal experiments have become the key research means for us to understand and treat this disease. We searched almost all HTG-AP animal models by collecting many studies and finally collated common animals such as rats, mice and included some rare animals that are not commonly used, summarizing the methods to model spontaneous pancreatitis and induce pancreatitis. We sorted them on the basis of three aspects, including the selection of different animals, analyzed the characteristics of different animals, different approaches to establish hypertriglyceridemic pancreatitis and their relative advantages and disadvantages, and introduced the applications of these models in studies of pathogenesis and drug therapy. We hope this review can provide relevant comparisons and analyses for researchers who intend to carry out animal experiments and will help researchers to select and establish more suitable animal experimental models according to their own experimental design.

Prevalence and impact of acute kidney injury in hospitalized pediatric patients with acute pancreatitis

BACKGROUND

The incidence of acute pancreatitis (AP) in pediatric patients is rising with accompanying increased hospitalizations. Acute kidney injury (AKI) is associated with worse clinical outcomes in adults, and similar data in the pediatric age group is limited.

METHODS

We analyzed non-overlapping years of National Inpatient Sample (NIS) and Kids Inpatient Database (KID) to include all patients less than 21 years old with primary diagnosis of AP between 2003 and 2016. Patients with concomitant diagnosis of AKI were compared with patients without AKI for demographics, comorbid/etiologic conditions, procedures, complications, and mortality. Length of stay and inflation-adjusted hospitalization charges were used to compare health care resource utilization.

RESULTS

In total, 123,185 AP-related hospitalizations were analyzed. Overall prevalence of AKI among AP patients was 1.5% during the study period. The prevalence rate of AKI increased almost five-fold from 0.6% (2003) to a peak rate of 2.9% (2016), P < 0.001. Patients with AKI were older, more often male and had either more systemic diseases or chronic comorbid conditions such as malignancies, systemic lupus erythematosus, solid organ transplantation, hypertriglyceridemia, and hypercalcemia. Multivariate analysis demonstrated AP-related hospitalizations with AKI were 1.97 (CI 1.27-3.08, P < 0.001) times more likely to be associated with in-hospital mortality and contributed to 4.3 additional days of hospitalization (CI 4.02-4.6, P < 0.001), also incurring an additional $51,830 (CI 48571-55088, P < 0.001) in hospital charges.

CONCLUSION

The prevalence of AKI is increasing steadily among pediatric patients with AP and is associated with increased risk of mortality and higher health care resource expenditure.

Pleural Effusion Is Associated with Severe Renal Dysfunction in Patients with Acute Pancreatitis

BACKGROUND Renal dysfunction is a leading cause of death in patients with acute pancreatitis (AP) and often occurs later than respiratory complications. Whether respiratory complications can predict renal impairment remains unclear. The aim of this study was to investigate the association between pleural effusion and renal dysfunction in AP. MATERIAL AND METHODS Medical records were reviewed from individuals who were hospitalized with AP from January 1, 2015 to December 31, 2019. The patients were divided into 2 groups, based on the presence or absence of pleural effusion on admission. Disease severity, renal function parameters, and outcomes were compared between the 2 groups. RESULTS A total of 222 patients were enrolled, 25 of whom had pleural effusion on admission and 197 who did not. Patients with AP who had pleural effusion had more serious illness (higher incidences of pancreatic inflammation, pancreatic fluid collection, and moderate-to-severe AP; worse Bedside Index for Severity in Acute Pancreatitis score; and a higher modified computed tomography severity index [all P<0.05]) plus worse outcomes (higher incidences of ventilation and vasopressor use [both P<0.05]). Moreover, patients with pleural effusion had a higher level of blood urea nitrogen and lower estimated glomerular filtration rate (both P<0.05). After adjustment for potential confounders, pleural effusion was a risk factor for renal failure in patients with AP (odds ratio 6.32, 95% confidence interval 1.08-36.78, P=0.040). CONCLUSIONS Pleural effusion is associated with severe renal dysfunction in AP. Therefore, efforts should be made to improve early recognition and timely treatment of renal failure by closely monitoring renal function in patients with AP and pleural effusion on admission.

Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients

Background. Acute kidney injury (AKI) has long been recognized as a common and important complication of acute pancreatitis (AP). In the study, machine learning (ML) techniques were used to establish predictive models for AKI in AP patients during hospitalization. This is a retrospective review of prospectively collected data of AP patients admitted within one week after the onset of abdominal pain to our department from January 2014 to January 2019. Eighty patients developed AKI after admission (AKI group) and 254 patients did not (non-AKI group) in the hospital. With the provision of additional information such as demographic characteristics or laboratory data, support vector machine (SVM), random forest (RF), classification and regression tree (CART), and extreme gradient boosting (XGBoost) were used to build models of AKI prediction and compared to the predictive performance of the classic model using logistic regression (LR). XGBoost performed best in predicting AKI with an AUC of 91.93% among the machine learning models. The AUC of logistic regression analysis was 87.28%. Present findings suggest that compared to the classical logistic regression model, machine learning models using features that can be easily obtained at admission had a better performance in predicting AKI in the AP patients.

Risk Factors for Acute Kidney Injury in Acute Pancreatitis: A 7-Year Retrospective Analysis of Patients in a Large Tertiary Hospital

OBJECTIVE

The aim of our study was to investigate the risk factors for acute kidney injury (AKI) in patients with acute pancreatitis (AP).

METHODS

Acute pancreatitis patients were retrospectively divided into 2 groups: AKI and non-AKI. We used logistic regression analysis to investigate the risk factors for AP patients with AKI. We also compared the incidence of complications and mortality between the non-AKI and AKI groups.

RESULTS

A total of 1255 AP patients without AKI and 430 AP patients with AKI were included. The risk factors for AKI in AP were hypertriglyceridemia (P = 0.001), severity (P = 0.001), etiology (P = 0.001), and Acute Physiology and Chronic Health Evaluation II scores (P = 0.001). The incidences of organ failure (P = 0.001), pancreatic necrosis (P = 0.001), and mortality (P = 0.001) were greater in the AKI group than in the non-AKI group.

CONCLUSIONS

Hypertriglyceridemia, severity, etiology, and Acute Physiology and Chronic Health Evaluation II scores are independent risk factors for AKI in AP patients. Those patients have serious outcomes such as high rate of organ failure, pancreatic necrosis, and debridement of necrosis.

ApoC2 deficiency elicits severe hypertriglyceridemia and spontaneous atherosclerosis: A rodent model rescued from neonatal death

RATIONALE

ApoC2 is an important activator for lipoprotein lipase-mediated hydrolysis of triglyceride-rich plasma lipoproteins. ApoC2-deficient patients display severe hypertriglyceridemia (sHTG) and recurrent acute pancreatitis. However, due to embryonic lethality in ApoC2 deleted mouse extensive understanding of ApoC2 function is limited in mammalian species.

OBJECTIVE

We sought to generate an animal model with ApoC2 deficiency in a rodent with some human-like features and then study the precise effects of ApoC2 on lipid and glucose homeostasis.

METHODS AND RESULTS

Using CRISPR/Cas9, we deleted Apoc2 gene from golden Syrian hamster and the homozygous (-/-) pups can be born in matured term but exhibited neonatal lethality. By continuous iv administration of normal hamster serum the ApoC2^-/- pups could survive till weaning and displayed severe HTG in adulthood on chow diet. A single iv injection of AAV-hApoC2 at birth can also rescue the neonatal death of ApoC2^-/- pups. Adult ApoC2^-/-hamsters exhibited a unique phenotype of sHTG with hypoglycemia, hypoinsulinemia and spontaneous atherosclerosis. The sHTG in ApoC2^-/- adult hamsters could not be corrected by various lipid-lowering medications, but partially ameliorated by medium chain triglyceride diet and completely corrected by AAV-hApoC2.

CONCLUSIONS

Our study provides a novel ApoC2-deleted mammalian model with severe hypertriglyceridemia that was fully characterized and highlights a potential therapeutic approach for the treatment of ApoC2 deficient patients.

Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function

Background

We aimed to develop a nomogram based on preprocedural features for early prediction of acute kidney injury (AKI) and to assess the prognosis in patients after radical and partial nephrectomy.

Methods

The study included a development cohort of 1111 patients who were treated between June 2012 and June 2017 and an additional validation cohort of 356 patients who were treated between July 2017 and June 2018. Stepwise regression and logistic regression analyses were used to evaluate the association between predictors and AKI. Incorporating all independent predictors, a nomogram for postoperative AKI was developed and externally validated. Patients were followed up for 5 years to assess renal function, acute kidney disease (AKD), chronic kidney disease (CKD), hospital readmission and mortality were key prognosis we focused on.

Results

After multivariate logistic regression, radical nephrectomy (odds ratio (OR) = 3.57, p < 0.001), aspirin (OR = 1.79, p = 0.008), systolic blood pressure (OR = 1.41, p = 0.004), triglyceride (OR = 1.26, p = 0.024), and alkaline phosphatase (OR = 1.75, p = 0.034) were independent risk factors for postoperative AKI, while albumin (OR = 0.72, p = 0.031) was a protective factor for postoperative AKI. Patients with a higher estimated glomerular filtration rate (eGFR) (60–90 ml/min/1.73 m², OR = 0.41, p = 0.004; ≥ 90 ml/min/1.73 m², OR = 0.37, p < 0.001) were less prone to AKI than those with a lower eGFR (< 15 ml/min/1.73 m²). These predictors were all included in the final nomogram. The area under the receiver operating characteristics curve for the model were 0.77 (p < 0.001) in the development cohort and 0.72 (p < 0.001) in the validation cohort. The incidence of AKD and CKD were 27.12 and 18.64% in AKI group, which were much higher than those in no AKI group (p < 0.001).

Conclusions

The nomogram had excellent predictive ability and might have significant clinical implications for the early detection of AKI in patients undergoing nephrectomy.

Clinical features of hypertriglyceridemia-induced acute pancreatitis in an international, multicenter, prospective cohort (APPRENTICE consortium)

BACKGROUND

The clinical features and outcomes of hypertriglyceridemia-induced acute pancreatitis (HTG-AP) are not well-established.

OBJECTIVE

To evaluate the clinical characteristics of HTG-AP in an international, multicenter prospective cohort.

METHODS

Data collection was conducted prospectively through APPRENTICE between 2015 and 2018. HTG-AP was defined as serum TG levels >500 mg/dl in the absence of other common etiologies of AP. Three multivariate logistic regression models were performed to assess whether HTG-AP is associated with SIRS positive status, ICU admission and/or moderately-severe/severe AP.

RESULTS

1,478 patients were included in the study; 69 subjects (4.7%) were diagnosed with HTG-AP. HTG-AP patients were more likely to be younger (mean 40 vs 50 years; p < 0.001), male (67% vs 52%; p = 0.018), and with a higher BMI (mean 30.4 vs 27.5 kg/m²; p = 0.0002). HTG-AP subjects reported more frequent active alcohol use (71% vs 49%; p < 0.001), and diabetes mellitus (59% vs 15%; p < 0.001). None of the above risk factors/variables was found to be independently associated with SIRS positive status, ICU admission, or severity in the multivariate logistic regression models. These results were similar when including only the 785 subjects with TG levels measured within 48 h from admission.

CONCLUSION

HTG-AP was found to be the 4th most common etiology of AP. HTG-AP patients had distinct baseline characteristics, but their clinical outcomes were similar compared to other etiologies of AP.

A comparative study of machine learning algorithms for predicting acute kidney injury after liver cancer resection

Objective

Machine learning methods may have better or comparable predictive ability than traditional analysis. We explore machine learning methods to predict the likelihood of acute kidney injury after liver cancer resection.

Methods

This is a secondary analysis cohort study. We reviewed data from patients who had undergone resection of primary hepatocellular carcinoma between January 2008 and October 2015.

Results

The analysis included 1,173 hepatectomy patients, 77 (6.6%) of whom had AKI and 1,096 (93.4%) who did not. The importance matrix for the Gbdt algorithm model shows that age, cholesterol, tumor size, surgery duration and PLT were the five most important parameters. Figure 1 shows that Age, tumor size and surgery duration had weak positive correlations with AKI. Cholesterol and PLT also had weak negative correlations with AKI. The models constructed by the four machine learning algorithms in the training group were compared. Among the four machine learning algorithms, random forest and gbm had the highest accuracy, 0.989 and 0.970 respectively. The precision of four of the five algorithms was 1, random forest being the exception. Among the test group, gbm had the highest accuracy (0.932). Random forest and gbm had the highest precision, both being 0.333. The AUC values for the four algorithms were: Gbdt (0.772), gbm (0.725), forest (0.662) and DecisionTree (0.628).

Conclusions

Machine learning technology can predict acute kidney injury after hepatectomy. Age, cholesterol, tumor size, surgery duration and PLT influence the likelihood and development of postoperative acute kidney injury.

Hypertriglyceridaemia-associated acute pancreatitis: diagnosis and impact on severity

BACKGROUND

The level of hypertriglyceridaemia (HTG) at which the risk of acute pancreatitis (AP) increases and the impact of HTG on AP attributable to other aetiologies remains unclear.

METHODS

We compared clinical outcomes of patients admitted within 48 h of the onset of abdominal pain from a first episode of AP and admission serum triglyceride levels of either <5.65 mmol/l (<500 mg/dl) or ≥5.65 to <11.3 mmol/l (moderate HTG) or ≥11.3 mmol/l (≥1000 mg/dl, severe HTG).

RESULTS

Among a cohort of 1,233 patients with AP there were significant progressive increases in all major deleterious clinical outcomes including mortality (all P_trend < 0.05) that were directly dependent on admission triglyceride levels. Outcomes were improved by earlier presentation (<24 h compared to 24-48 h from abdominal pain onset). Patients with severe HTG and a concomitant aetiology (n = 68) had significantly more persistent organ failure, pancreatic necrosis and longer hospital stays (P < 0.05) than those with severe HTG alone (n = 206).

CONCLUSIONS

There appears to be an association between HTG grade and the severity of AP. Severe HTG significantly increased the severity of AP, over AP attributable to other aetiologies. Moderate as well as severe HTG can be used as a criterion for the diagnosis of HTG-associated AP.

Carboxyl Ester Lipase May Not Mediate Lipotoxic Injury during Severe Acute Pancreatitis

Acute lipolysis of visceral fat or circulating triglycerides may worsen acute pancreatitis (AP)-associated local and systemic injury. The pancreas expresses pancreatic triacylglycerol lipase (PNLIP), pancreatic lipase-related protein 2 (PNLIPRP2), and carboxyl ester lipase (CEL), which may leak into the visceral fat or systemic circulation during pancreatitis. We, thus, aimed to determine the pancreatic lipase(s) regulating lipotoxicity during AP. For this AP, associated fat necrosis was analyzed using Western blot analysis. Bile acid (using liquid chromatography-tandem mass spectrometry) and fatty acid (using gas chromatography) concentrations were measured in human fat necrosis. The fat necrosis milieu was simulated in vitro using glyceryl trilinoleate because linoleic acid is increased in fat necrosis. Bile acid requirements to effectively hydrolyze glyceryl trilinoleate were studied using exogenous or overexpressed lipases. The renal cell line (HEK 293) was used to study lipotoxic injury. Because dual pancreatic lipase knockouts are lethal, exocrine parotid acini lacking lipases were used to verify the results. PNLIP, PNLIPRP2, and CEL were increased in fat necrosis. Although PNLIP and PNLIPRP2 were equipotent in inducing lipolysis and lipotoxic injury, CEL required bile acid concentrations higher than in human fat necrosis. The high bile acid requirements for effective lipolysis make CEL an unlikely mediator of lipotoxic injury in AP. It remains to be explored whether PNLIP or PNLIPRP2 worsens AP severity in vivo.

Hypertriglyceridemia-Associated Drug-Induced Acute Pancreatitis

OBJECTIVES

The aim of our study was to investigate the cases of drug-induced acute pancreatitis (DIAP) with hypertriglyceridemia as the mechanism of injury.

METHODS

A MEDLINE search (1963-2018) of the English language literature was performed looking for all human case reports of adults (>18 years old) with hypertriglyceridemia as the mechanism of DIAP. The latest search date was February 28, 2018. Drugs were classified into probability groups based on a classification used by Badalov et al (Clin Gastroenterol Hepatol. 2007;5:648-661).

RESULTS

The search revealed a total of 76 cases in 59 published reports. A total of 25 medications were found to be implicated in DIAP secondary to hypertriglyceridemia mechanism. Most of acute pancreatitis cases were mild or moderately severe with favorable outcomes. In 3 cases involving tamoxifen, pagaspargase, and quetiapine, patient death was the outcome. Plasmapheresis was only used in 9 cases in an effort to decrease triglyceride levels.

CONCLUSIONS

Hypertriglyceridemia-associated DIAP is a rare phenomenon, and the current systematic review provides a summary of drugs that have been implicated in this phenomenon, which allow physicians to be oriented about this adverse effect when these drugs are used.

Significantly different clinical features between hypertriglyceridemia and biliary acute pancreatitis: a retrospective study of 730 patients from a tertiary center

BACKGROUND

Unlike western world, gallstones and hypertriglyceridemia (HTG) are among the first two etiologies of acute pancreatitis (AP) in China. But yet, detailed differences in clinical features and outcomes between hypertriglyceridemia and biliary acute pancreatitis have not been well described.

METHODS

This retrospective study enrolled 730 acute pancreatitis patients from July 1, 2013 to October 1, 2016 in Jinling Hospital. The causes of the study patients were defined according to specific diagnostic criteria. The clinical features and outcomes of patients with hypertriglyceridemia acute pancreatitis (HTG-AP) and biliary acute pancreatitis (BAP) were compared in terms of general information, disease severity, laboratory data, system complications, local complications, and clinical outcome.

RESULTS

In the enrolled 730 AP patients, 305 (41.8%) were HTG-AP, and 425 (58.2%) were BAP. Compared to BAP, the HTG-AP patients were found to be younger, with higher body mass Index (BMI), and much higher proportion of diabetes, fatty liver and high fat diet. Besides that, HTG-AP patients had significantly higher C-reactive protein (CRP) (p<0.01) and creatinine (p = 0.031), together with more acute respiratory distress syndrome (ARDS) (p = 0.039), acute kidney injury (AKI) (p<0.001), deep venous thrombosis (p = 0.008) and multiple organ dysfunction syndrome (MODS) (p = 0.032) in systematic complications. As for local complications, HTG-AP patients had significantly less infected pancreatitis necrosis (p = 0.005). However, there was no difference in mortality, hospital duration and costs between the groups.

CONCLUSION

HTG-AP patients were younger, more male, having high fat diet and with higher BMI compared to BAP patients. The prevalence of AKI/ARDS/DVT/MODS in HTG-AP patients was higher than BAP patients, while BAP patients had a greater possibility in development of infected pancreatitis necrosis (IPN). According to the multivariate analysis, only the complication of AKI was independently related with the etiology of HTG, however, BMI contributes to AKI, ARDS and DVT.

Lipid metabolism in patients with chronic hyperglycemia after an episode of acute pancreatitis

BACKGROUND

The importance of dyslipidemia is well recognized in the context of both risk factor for acute pancreatitis and prognostic factor for its in-hospital outcomes. With a growing appreciation of post-pancreatitis diabetes mellitus, there is a need to catalogue changes in lipid metabolism after hospitalization due to an acute pancreatitis attack and their associations with glucose metabolism.

OBJECTIVE

To investigate lipid metabolism in patients with impaired glucose homeostasis following acute pancreatitis.

METHODS

There were two study groups: newly diagnosed chronic hyperglycemia or normoglycemia after acute pancreatitis. During the fasting state, venous blood samples were collected to analyse markers of lipid metabolism (triglycerides, glycerol, low density lipoprotein, high density lipoprotein, total cholesterol, free fatty acids, and apolipoprotein-B) and glucose metabolism (HbA1c, insulin, index of adipose tissue insulin resistance (Adipo-IR), and HOMA-IR). Binary logistic and linear regression analyses were conducted, and potential confounders were adjusted for in multivariate analyses.

RESULTS

The study included 64 patients with normoglycemia and 19 - with chronic hyperglycemia. Glycerol was significantly associated with the development of chronic hyperglycemia in both unadjusted (p=0.02) and adjusted (p=0.006) models. Triglycerides were significantly associated with the development of chronic hyperglycemia in adjusted (p=0.019) model. Other markers of lipid metabolism did not differ significantly between the two groups. None of the markers of lipid metabolism was significantly associated with Adipo-IR or HOMA-IR.

CONCLUSION

Overall, patients with chronic hyperglycemia after acute pancreatitis appear to have a lipid profile indicative of an up-regulation of lipolysis, which is not significantly affected by either general or adipose tissue-specific insulin resistance.

Elevated Serum Triglycerides in the Prognostic Assessment of Acute Pancreatitis: A Systematic Review and Meta-Analysis of Observational Studies

BACKGROUND

Hypertriglyceridemia has been positively associated with the risk of acute pancreatitis (AP), but whether increased triglyceride (TG) levels are associated with the severity of AP remains unknown. To this, a meta-analysis was conducted to assess the effect of elevated serum TG on the prognosis of AP.

METHODS

We searched PubMed, EMBASE, and the Cochrane library to identify all eligible studies (up to September 2016). We pooled the odds ratios (ORs) or standardized mean difference from individual studies using a random-effects model to investigate associations between levels of TG and the prognosis of AP.

RESULTS

A total of 15 studies were included in the meta-analysis, including a total of 1564 patients with triglyceride-related acute pancreatitis (TGAP) and 5721 patients with nontriglyceride-related acute pancreatitis (NTGAP). The occurrence of renal failure [OR=3.18; 95% confidence interval (CI): 1.92, 5.27; P<0.00001], respiratory failure (OR=2.88; 95% CI: 1.61, 5.13; P<0.0001), and shock (OR=3.78; 95% CI: 1.69, 8.44; P<0.0001) was statistically significantly higher in TGAP group than in NTGAP group. Furthermore, mortality (OR=1.90; 95% CI: 1.05, 3.45; P<0.01), systemic inflammatory response syndrome (OR=2.03; 95% CI: 1.49, 2.75; P<0.00001), and Acute Physiology and Chronic Health Evaluation (APACHE-II) scores (standardized mean difference=2.72; 95% CI: 1.00, 4.45; P<0.001) were also statistically significantly higher in TGAP group than in NTGAP group.

CONCLUSION

Elevated serum TGs are related to a worse prognosis of AP.

Factors associated with increased pancreatic enzymes in septic patients: a prospective study

Background

The perfusion of splanchnic organs is deeply altered in patients with septic shock. The aim of the study is to identify the predictive factors of septic shock-induced increase of serum lipase and amylase and to assess and evaluate its prognostic impact.

Methods

We conducted a prospective observational study. All adult patients admitted with septic shock were eligible for our study. Serum lipase and amylase were measured on admission. Patients with and those without increased pancreatic enzymes were compared. Predictive factors of pancreatic insult identified by the univariate analysis were integrated in a stepwise multivariate analysis. Odds ratios (OR) with the 95% confidence interval (CI) were calculated accordingly. Second, the sensitivity and the specificity of amylase and lipase to predict intensive care unit (ICU) mortality were identified through the Receiver Operator Curve.

Results

Fifty patients were included. Median [quartiles] age was 68.5 [58–81] years. The APACHE II score was 26 [20–31]. Twenty-three patients (46%) had increased serum amylase and/or serum lipase. Diabetes mellitus (OR = 16; 95% CI [1.7–153.5]; p = 0.016), increased blood urea nitrogen (OR = 1.12; 95% CI [1.02–1.20], p = 0.016), and decreased C-reactive protein (OR = 0.97; 95% CI [0.96–0.99]; p = 0.027) were identified as independent factors predicting increased pancreatic enzymes. Twenty patients (40%) died in the ICU. Neither serum amylase level nor serum lipase level was significantly different between survivors and non-survivors (respectively 49 [27.7–106] versus 85.1 [20.1–165] UI/L; p = 0.7 and 165 [88–316] versus 120 [65.5–592] UI/L; p = 0.952).

Conclusion

Increase of pancreatic enzymes is common in patients with septic shock. Diabetes and impaired renal function are predictive of increased pancreatic enzymes. Such finding does not carry any negative prognostic value.

The role of hypertriglyceridemia for acute kidney injury in the course of acute pancreatitis and an animal model

OBJECTIVE

The aim of this study was to investigate the role of hypertriglyceridemia for acute kidney injury (AKI) in the course of acute pancreatitis.

METHODS

Patients with acute pancreatitis were retrospectively divided into four groups according to admission triglyceride: normal group, mild HTG group, moderate HTG group and severe HTG group. Clinical characteristics were compared among these groups. Wild type (WT) mice and Human ApoC III transgenic (ApoCIIItg) mice were used in the next animal experiments. Severe acute pancreatitis (SAP) model was established by retrograde injection of 0.5% sodium taurocholate (0.1 ml/100 g) from duodenum to pancreatic duct. Histological scores, serum amylase, creatinine, usea nitrogen were compared between WT mice and ApoCIIItg mice.

RESULTS

Two hundred and sixty-two patients were classified into 4 groups: normal TG (104, 39.7%), mild HTG (72, 27.5%), moderate HTG (47, 17.9%), and severe HTG (39, 14.9%) groups. The proportions of AKI were 13.5% (14/104, normal), 13.9% (10/72, mild), 21.3% (10/47, moderate), and 38.5% (15/39, severe), respectively. After establishing SAP model, the levels of serum amylase (P < 0.05) and pancreatic histological score (P < 0.05) of ApoCIII-SAP-9h group were significantly higher than that of WT-SAP-9h group, respectively. ApoCIII-SAP-9h group had significantly higher levels of serum creatinine (P < 0.001), usea nitrogen (P < 0.001), and kidney histological score (P < 0.05) than that of WT-SAP-9h group, respectively.

CONCLUSIONS

Mild HTG has little adverse impact on disease severity of acute pancreatitis; severe HTG can aggravate kidney injury in the course of acute pancreatitis. ApoCIII-SAP mice have more serious pancreatic damage and kidney injury than WT-SAP mice.

RNA sequence analysis of rat acute experimental pancreatitis with and without fatty liver: a gene expression profiling comparative study

Fatty liver (FL) is one of the risk factors for acute pancreatitis and is also indicative of a worse prognosis as compared to acute pancreatitis without fatty liver (AP). The aim of the present study was to analyze, at the hepatic level, the differentially expressed genes (DEGs) between acute pancreatitis with fatty liver (APFL) rats and AP rats. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analyses of these DEGs indicated that PPARα signalling pathway and fatty acid degradation pathway may be involved in the pathological process of APFL, which indicated that fatty liver may aggravate pancreatitis through these pathways. Moreover, the excessive activation of JAK/STAT signaling pathway and toll-like receptor signaling pathway was also found in APFL group as shown in heat map. In conclusion, the inhibition of PPARα signaling pathway and the fatty acid degradation pathway may lead to the further disorder of lipid metabolism, which can aggravate pancreatitis.

Clinical Profile and Natural Course in a Large Cohort of Patients With Hypertriglyceridemia and Pancreatitis

GOALS

To report the clinical profile and natural course in a large series of patients with hypertriglyceridemia (HTG) and acute pancreatitis (AP).

BACKGROUND

The natural history of HTG-related pancreatitis is poorly defined.

STUDY

Medical records of 121 patients with serum triglycerides (TG) levels of ≥500 mg/dL suffering 225 attacks of AP between January 2001 to August 2013 treated at the University of Pittsburgh Medical Center were retrospectively studied. Structured data were collected on initial presentation and long-term outcomes (mean follow-up 64.7±42.8 mo). AP severity was classified using Revised Atlanta Classification.

RESULTS

Most patients were young-middle aged (mean 44±12.7 y), male (70%), white (78%), and had sentinel AP (63%). Peak serum TG recorded was ≥1000 mg/dL in 48%. At least 1 secondary risk factor (diabetes, high-risk drinking, obesity, offending medications) was present in the majority (78%). Sentinel AP attack varied in severity between mild (41%), moderate (26%), and severe (33%). Recurrent AP attacks occurred in 32%, often in patients with poorly controlled diabetes, alcoholism, and TG levels. A cumulative increase in prevalence of pancreatic and/or peripancreatic necrosis was observed, with 45% patients having it at some time during observation. Local complications were higher in patients with serum TG ≥1000 mg/dL. Chronic pancreatitis was noted in 16.5% patients (new-onset in 9%).

CONCLUSIONS

Patients with HTG-related pancreatitis have a high prevalence of secondary risk factors. Frequent recurrences in them are usually due to poor control of secondary factors or TG. Serum TG ≥1000 mg/dL increases the risk of local complications. A subset can have or develop chronic pancreatitis.

Serum Triglyceride Level: A Predictor of Complications and Outcomes in Acute Pancreatitis?

Aim. To study serum triglyceride level as a predictor of complications and outcomes in acute pancreatitis. Methods. In this retrospective observational study, 582 patients admitted with acute pancreatitis, who had serum triglyceride levels measured within the first 24 hours, were divided into two groups. The study group consisted of patients with a triglyceride level ≥2.26 mmol/L (group 2) and the control group consisted of triglyceride level of <2.26 mmol/L (group 1). We collected data for baseline demographics, laboratory values, incidence of complications (local and systemic), admission to the intensive care unit (ICU), ICU length of stay, length of total hospital stay, and death in the two groups. Results. A triglyceride level of ≥2.26 mmol/L was found to be an independent predictor of developing altered mental status (p: 0.004), pancreatic necrosis (p: 0.001), acute respiratory distress syndrome (p: 0001), systemic Inflammatory response syndrome (p: 0.001), acute kidney injury (p: 0.001), hospital length of stay (LOS) (p: 0.002), admission to intensive care unit (ICU) (p: 0.002), and ICU LOS (p: 0.003). Conclusion. A triglyceride level of ≥2.26 mmol/L on admission in acute pancreatitis is an independent predictor of developing local and systemic complications, hospital LOS, admission to ICU, and ICU LOS.

Elevated serum triglycerides are independently associated with persistent organ failure in acute pancreatitis

OBJECTIVES

Hypertriglyceridemia (HTG) represents a major health problem with prevalence exceeding 30% in the U.S. The present study aims to assess the effect of elevated serum triglyceride (TG) levels on the severity of acute pancreatitis (AP).

METHODS

Prospectively enrolled AP patients were categorized into normal, mild, moderate, and severe/very severe categories based on their TG levels and compared in respect to demographics, comorbidities, and clinical outcomes. Multivariate analysis determined whether elevated TG levels were independently associated with persistent organ failure.

RESULTS

Two hundred and one out of 400 AP patients had serum TGs measured within 72 h of presentation, of which 115 had normal TG levels and 86 HTG (20 mild, 41 moderate, and 25 severe/very severe). Patients with HTG were of younger age (44 vs. 52 years), predominantly male (65% vs. 45%), obese (57% vs. 34%), diabetic (38% vs. 17%), and developed more frequently persistent organ failure (40% vs. 17%) compared with those with normal TGs (P<0.02). The rate of persistent organ failure increased proportionally with HTG severity grades (17% when normal TGs, 30% in mild, 39% in moderate, and 48% in severe/very severe HTG, Ptrend<0.001). On multivariate analysis controlling for age, gender, body mass index, diabetes, and alcohol etiology, moderate HTG (odds ratio (OR), 2.6; P=0.04) and severe/very severe HTG (OR, 4.9; P=0.009) were independently associated with persistent organ failure.

CONCLUSIONS

Elevated serum TGs in AP patients are independently and proportionally correlated with persistent organ failure regardless of etiology. TG-mediated lipotoxicity may be an attractive target to design novel interventions for severe AP.

Improved Effect of Continuous Renal Replacement Therapy in Metabolic Status and Body Composition of Early Phase of Acute Pancreatitis

Objective

To observe the metabolic changes in the early phase of acute pancreatitis (AP) patients induced by continuous renal replacement therapy (CRRT), and to investigate the correlation between the metabolic changes and outcomes of the AP patients.

Methods

We performed a retrospective analysis in the surgical intensive care unit (ICU) of a tertiary teaching hospital. A total of 169 patients diagnosed as AP were divided into 2 groups: CRRT group (n = 71) and non-CRRT group (n = 98), based on whether they received CRRT for more than 24 hours within 7 days from onset of AP. Measured energy expenditure was measured by indirect calorimetry and predicted energy expenditure was determined by specific equations on admission and day 7 (or the closest day to day 7), respectively. Meanwhile, the body composition was measured by multiple-frequency bioelectrical impedance analyzer. Blood test, body weight and vital signs were analyzed daily for both groups.

Results

In this study, we found a significant improvement in the hypermetabolism and fluid distribution of the CRRT group compared with the non-CRRT group. Complications, hospital and ICU length of stays were reduced in CRRT patients.

Conclusions

CRRT is an effective treatment for AP patients. Patients with overhydration and hypermetabolism may get improved outcomes from CRRT.