Impact of characteristics of organ failure and infected necrosis on mortality in necrotising pancreatitis

Syndecan-1 Levels and Early Positive Fluid Balance Are Associated With Disease Severity in Acute Pancreatitis

OBJECTIVE

The aim of the study is to study fluid balance and endothelial glycocalyx degradation, reflected by syndecan-1, and heparan sulfate (HS) levels, in early stages of acute pancreatitis (AP).

MATERIALS AND METHODS

This study comprised of 210 AP patients (104 mild, 53 moderately severe, 17 severe). Blood was sampled within 72 hours from the onset of symptoms, and plasma syndecan-1 and HS levels were determined using ELISA. Fluid balance up to sampling and up to 4 days was determined retrospectively from medical records.

RESULTS

Syndecan-1 levels predicted severe AP (SAP) in receiver operating characteristic analysis [area under curve 0.699, 95% confidence interval (CI) 0.546 to 0.851, P = 0.021]. Increasing AP severity was associated with higher intravenous fluid intake and lower urine output. In multivariate binary logistic regression analysis, positive fluid balance up to sampling [odds ratio (OR) 1.05 per 100 ml, 95% CI 1.02 to 1.11, P = 0.010] and higher Acute Physiology and Chronic Health Evaluation II score at sampling (OR 1.48, 95% CI 1.20 to 1.83, P < 0.001) were independently associated with severe AP, while syndecan-1 level was not.

CONCLUSIONS

SAP is associated with high positive fluid balance in the early stages of treatment. Although increased in SAP, syndecan-1 was not independently associated with SAP when controlling for fluid balance and Acute Physiology and Chronic Health Evaluation II score.

Effectiveness and safety of low molecular weight heparin in the management of acute pancreatitis: a systematic review and meta-analysis

BACKGROUND

Recent studies suggest that low-molecular-weight heparin (LMWH) may play a role in mitigating the severity of acute pancreatitis (AP). This systematic review and meta-analysis aims to synthesise existing evidence on the effectiveness and safety of LMWH in the treatment of moderately-severe and severe AP.

METHODS

This systematic review and meta-analysis was conducted in accordance with the 2020 update of the PRISMA guidelines and the Cochrane Handbook for Systematic Reviews of Interventions. The systematic search was conducted in MEDLINE, the Cochrane Central Register of Controlled Trials, Scopus, and EMBASE, covering studies published up to February 2024. Randomised controlled trials (RCTs) and observational studies (n-RCTs) that reported the differences in the outcomes of AP for patients receiving LMWH in addition to the standard treatment (Intervention), compared to patients managed by standard treatment without LMWH (Control) were eligible. A random-effects model was used to calculate the pooled relative risk (RR) and mean differences (MD) with the corresponding 95% CI.

RESULTS

Thirteen studies were included in the meta-analysis, all published between 2004 and 2022. Eight studies were RCTs, and five were n-RCTs. Data from 13,709 patients (6.971 Interventions and 6.738 Controls) were analysed. The comparison of Intervention and Control groups showed the superiority of LMWH to standard treatments in terms of overall mortality (RR = 0.44, 95% CI = 0.31; 0.64, P < 0.0001, I2 = 51%), acute necrotic collections (RR = 0.24, 95% CI = 0.09; 0.62, P = 0.003, I2 = 0%), and organ failure (RR = 0.67, 95% CI = 0.48; 0.93, P = 0.02, I2 = 78%). The Intervention group showed superior outcomes compared with the Control group for gastrointestinal bleeding (RR = 0.64, 95% CI = 0.44; 0.94, P = 0.02, I2 = 0%), length of hospital stay (MD= - 6.08, 95% CI = - 10.08; - 2.07, P = 0.003, I2 = 98%), need for operative interventions (RR = 0.50, 95% CI = 0.29; 0.87, P = 0.01, I2 = 61%), and vascular thrombosis (RR = 0.43, 95% CI = 0.31; 0.61, P < 0.00001, I2 = 0%).

CONCLUSIONS

Moderate to high-quality evidence suggests that early intervention with LMWH could improve the prognosis of non-mild AP in terms of mortality, organ failure, and decreased incidence of vascular thrombosis. In light of our findings, integrating LMWH into the treatment regimen for moderate-severe to severe AP is advocated.

Breaking the chain in organ failure: Role of umbilical cord and bone marrow derived mesenchymal stem cells in treatment of severe acute pancreatitis

Background

Previous studies showed that MSCs could mitigate damage in the pancreas during acute pancreatitis (AP). However, acute mortality associated with AP was more often a result of persistent failure of remote organs, rather than local damage, especially in severe acute pancreatitis (SAP), and the effect of MSCs may vary depending on their origin.

Methods

An SAP model was induced in 8-week C57BL/6 J male mice by retrograde injection of 5 % sodium taurocholate solution through the bile duct. SAP mice were divided into the SAP group, UC-MSCs group, and BMSCs group, which were treated with saline, 1 × 106 UC-MSCs, and 1 × 106 BMSCs respectively, through the tail vein. After treatment, serum markers, inflammation, and morphology were assessed in the pancreas, kidneys, lungs, and hearts.

Results

MSCs infusion ameliorated the systemic inflammatory response in SAP mice. In the MSCs-treated SAP mice, local tissue injury and inflammation response in the pancreas were alleviated. But more importantly, the renal and lung injury were all significantly and drastically mitigated, and the levels of pro-inflammatory factors such as IL-6, MCP-1, IL-1β, and TNF-α in the kidney, lung and heart were sharply decreased. In terms of origin, UC-MSCs exhibited superior efficacy compared with BMSCs. Furthermore, compared to the normal control mice, UC-MSCs showed an earlier appearance, higher distribution densities, and longer duration of presence in the injured tissue.

Conclusions

This study provides compelling evidence supporting the therapeutic potential of MSCs in SAP treatment and particularly their ability to mitigate multi-organ failure. Our results also suggested that UC-MSCs may offer greater advantages over BMSCs in SAP therapy.

The Clinical Characteristics and Outcomes of Acute Pancreatitis Are Different in Elderly Patients: A Single-Center Study over a 6-Year Period

Objectives: This study aims to analyze the clinical characteristics of elderly patients with acute pancreatitis (AP) and investigate the effects of age on the clinical outcomes of AP. Methods: Patients aged ≥ 18 years with AP admitted within 72 h from 1 September 2013 to 31 August 2019 were included. Patients were divided into elderly (≥60 years) and non-elderly (<60 years) groups. Clinical data and outcomes were compared. Results: A total of 756 elderly and 4896 non-elderly patients with AP were included. The elderly patients had different etiological distributions and more severe clinical markers and scores. Age was an independent risk factor for mortality [odds ratio (OR): 2.911, 95% CI: 1.801-4.706, p < 0.001], intensive care unit admission (OR: 1.739, 95% CI: 1.126-2.685, p = 0.013), persistent organ failure (OR: 1.623, 95% CI: 1.326-1.987, p < 0.001), multiple organ failure (OR: 1.757, 95% CI: 1.186-2.604, p = 0.005), and infection (OR: 2.451, 95% CI: 1.994-3.013, p < 0.001). Adjusted multiple logistic regression and trend analysis confirmed the risk of the age for the outcomes. The deaths of elderly patients showed a biphasic pattern with peaks in the first and fifth weeks, in contrast to the single peak in the first week in the non-elderly patients. Conclusions: Elderly patients with AP were associated with worse clinical outcomes. It is crucial to devote considerable attention to the optimization of therapeutic approaches to reduce late mortality in this group of patients.

A novel clinical data management platform for acute pancreatitis

This study presents a multi-center clinical data management platform that facilitates unified and structured management of real-world data and serves as an ideal tool to enhance the quality and progress of clinical research related to severe acute pancreatitis (SAP). The use of the platform enables clinical teams to obtain safe, accurate, structurally unified, traceable, scene-clear, and fully functional real-world medical data in the diagnosis, treatment, and research of acute pancreatitis (AP).

Timing, initiation and function: An in-depth exploration of the interaction network among neutrophil extracellular traps related genes in acute pancreatitis

BACKGROUND

Exogenous inhibition of neutrophil extracellular traps (NETs) was believed to alleviate acute pancreatitis (AP). This study aimed to comprehensively explore the key biological behavior of NETs including timing and pathogenesis in AP by integrating of single cell RNA sequencing(scRNA-seq) and bulk RNA-seq.

METHODS

Differentially expressed NETs-related genes and the hub genes of NETs were screened by bulk RNA-seq. ScRNA-seq was used to identify the cell types in pancreas of AP mice and to depict the transcriptomic maps in neutrophils. The mouse AP models were build to verify the timing of initiation of NETs and underlying pathogenesis of damage on pancreas acinar cells.

RESULTS

Tlr4 and Ccl3 were screened for hub genes by bulk RNA-seq. The trajectory analysis of neutrophils showed that high expression of Ccl3, Cybb and Padi4 can be observed in the middle stage during AP. Macrophages might be essential in the biological behavior of neutrophils and NETs. Through animal models, we presented that extensive NETs structures were formed at mid-stage of inflammation, accompanied by more serious pancreas and lung damage. NETs might promote necroptosis and macrophage infiltration in AP, and the damage on pancreatic injury could be regulated by Tlr4 pathway. Ccl3 was considered to recruit neutrophils and promote NETs formation.

CONCLUSION

The findings explored the underlying timing and pathogenesis of NETs in AP for the first time, which provided gene targets for further studies.

Development and validation of a nomogram combining pain score with laboratory indicators for predicting persistent organ failure in acute pancreatitis: a retrospective cohort study

Background

Acute pancreatitis is an inflammatory disease that can lead to persistent organ failure (POF), which is associated with increased morbidity and mortality. Early prediction of POF in AP can significantly improve patient outcomes.

Objective

To develop and validate a nomogram that combines pain score with laboratory indicators for predicting POF in patients with AP.

Methods

A retrospective cohort study was conducted, including patients diagnosed with AP. Pain score and laboratory indicators were collected within the first 24 h of admission. A nomogram was developed using logistic regression models and validated in a separate cohort.

Results

There were 807 patients in the training cohort and 375 patients in the internal validation cohort.Multivariate logistic regression demonstrated that pain score, serum creatinine, hematocrit, serum calcium, and serum albumin were independent risk factors for the incidence of POF in patients with AP. The area under the curve of the nomogram constructed from the above factors were 0.924, respectively. The model demonstrated good calibration and discrimination in both the development and validation cohorts.

Conclusion

The nomogram had a good performance in predicting POF in patients with AP and can be used to guide clinical decision-making.

Soat2 inhibitor avasimibe alleviates acute pancreatitis by suppressing acinar cell ferroptosis

Ferroptosis, characterized by lipid peroxidation, plays a significant role in the pathogenesis of acute pancreatitis (AP). While sterol O-acyltransferase 2 (Soat2) is known for its crucial regulatory role in cholesterol homeostasis, its involvement in the development of AP remains unreported. We conducted this study to identify the pivotal role of Soat2 in AP using transcriptomic databases. Subsequently, we confirmed its alterations through both in vitro and in vivo experimental models. Furthermore, we performed intervention with the Soat2 inhibitor avasimibe to evaluate pancreatic tissue pathology and serum enzymatic levels and observe inflammatory cell infiltration through immunohistochemistry. Additionally, changes in indicators related to ferroptosis were also observed. The results showed that in the AP mouse model, the protein and mRNA levels of Soat2 were significantly increased. Following avasimibe administration, there was a decrease in serum amylase levels, reduction in pancreatic tissue pathological damage, and attenuation of inflammatory cell infiltration. Furthermore, avasimibe administration resulted in downregulation of ferroptosis-related indicators. In conclusion, our findings suggest that the Soat2 inhibitor avasimibe protects against AP in mice through inhibition of the ferroptosis.

Application Value of the Automated Machine Learning Model Based on Modified Computed Tomography Severity Index Combined With Serological Indicators in the Early Prediction of Severe Acute Pancreatitis

BACKGROUND AND AIMS

Machine learning (ML) algorithms are widely applied in building models of medicine due to their powerful studying and generalizing ability. To assess the value of the Modified Computed Tomography Severity Index (MCTSI) combined with serological indicators for early prediction of severe acute pancreatitis (SAP) by automated ML (AutoML).

PATIENTS AND METHODS

The clinical data, of the patients with acute pancreatitis (AP) hospitalized in Hospital 1 and hospital 2 from January 2017 to December 2021, were retrospectively analyzed. Serological indicators within 24 hours of admission were collected. MCTSI score was completed by noncontrast computed tomography within 24 hours of admission. Data from the hospital 1 were adopted for training, and data from the hospital 2 were adopted for external validation. The diagnosis of AP and SAP was based on the 2012 revised Atlanta classification of AP. Models were built using traditional logistic regression and AutoML analysis with 4 types of algorithms. The performance of models was evaluated by the receiver operating characteristic curve, the calibration curve, and the decision curve analysis based on logistic regression and decision curve analysis, feature importance, SHapley Additive exPlanation Plot, and Local Interpretable Model Agnostic Explanation based on AutoML.

RESULTS

A total of 499 patients were used to develop the models in the training data set. An independent data set of 201 patients was used to test the models. The model developed by the Deep Neural Net (DL) outperformed other models with an area under the receiver operating characteristic curve (areas under the curve) of 0.907 in the test set. Furthermore, among these AutoML models, the DL and gradient boosting machine models achieved the highest sensitivity values, both exceeding 0.800.

CONCLUSION

The AutoML model based on the MCTSI score combined with serological indicators has good predictive value for SAP in the early stage.

Precise Control of Metal Active Sites of Metal-Organic Framework Nanozymes for Achieving Excellent Enzyme-Like Activity and Efficient Pancreatitis Therapy

Acute pancreatitis (AP) is a potentially life-threatening inflammatory disease that can lead to the development of systemic inflammatory response syndrome and its progression to severe acute pancreatitis. Hence, there is an urgent need for the rational design of highly efficient antioxidants to treat AP. Herein, an optimized Cu-based metal-organic framework (MOF) nanozyme with exceptional antioxidant activity is introduced, designed to effectively alleviate AP, by engineering the metal coordination centers in MN2Cl2 (M = Co, Ni, Cu). Specifically, the Cu MOF, which benefits from a Cu active center similar to that of natural superoxide dismutase (SOD), exhibited at least four times higher SOD-like activity than the Ni/Co MOF. Theoretical analyses further demonstrate that the CuN2Cl2 site not only has a moderate adsorption effect on the substrate molecule •OOH but also reduces the dissociation energy of the product H2O2. Additionally, the Cu MOF nanozyme possesses the excellent catalase-like activity and •OH removal ability. Consequently, the Cu MOF with broad-spectrum antioxidant activity can efficiently scavenge reactive oxygen species to alleviate arginine-induced AP. More importantly, it can also mitigate apoptosis and necrosis of acinar cells by activating the PINK1/PARK2-mediated mitophagy pathway. This study highlights the distinctive functions of tunable MOF nanozymes and their potential bio-applications.

Phospholipid and glycerolipid metabolism as potential diagnostic biomarkers for acute pancreatitis

BACKGROUND

Acute pancreatitis (AP) is characterized as a systemic inflammatory condition posing challenges in diagnosis and prognosis assessment. Lipid metabolism abnormalities, especially triacylglycerol (TAG) levels, have been reported, indicating their potential as biomarkers in acute pancreatitis. However, the performance of the TAG cycle, including phospholipid and glycerolipid metabolism, in AP patients has not yet been reported.

METHODS

This study enrolled 91 patients with acute biliary pancreatitis (ABP), 27 with hyperlipidaemic acute pancreatitis (HLAP), and 58 healthy controls (HCs), and their plasma phospholipid and glycerolipid levels were analyzed through liquid chromatography‒mass spectrometry. The phospholipid and glycerolipid contents of plasma collected from AP patients on the first, third, and seventh days of hospitalization were also measured. An orthogonal partial least squares discriminant analysis model served to differentiate the ABP, HLAP and HC groups, and potentially diagnostic lipids were evaluated via receiver operating characteristic curves in both the test and validation sets. Correlations between clinical data and lipids were conducted using Spearman's method. Clustering via the 'mfuzz' R package and the Kruskal‒Wallis H test were conducted to monitor changes during hospitalization.

RESULTS

Compared with those in HCs, the levels of phosphatidylcholine (PC), phosphatidylethanolamine (PE), and phosphatidic acid (PA) were lower in AP patients, whereas the levels of phosphatidylinositol (PI) and phosphatidylglycerol (PG) showed the opposite trend. Interestingly, TAG levels were positively correlated with white blood cell counts in ABP patients, and TAGs containing 44-55 carbon atoms were highly correlated with plasma TAG levels in HLAP patients. Phospholipid levels exhibited an inverse correlation with AP markers, in contrast to glycerolipids, which demonstrated a positive correlation with these markers. Additionally, PE (O-16:0/20:4) and PE (18:0/22:6) emerged as potential biomarkers because of their ability to distinguish ABP and HLAP patients from HCs, showing area under the curve (AUC) values of 0.932 and 0.962, respectively. PG (16:0/18:2), PG (16:0/20:4), PE (P-16:0/20:2), PE (P-18:2/18:2), PE (P-18:1/20:3), PE (P-18:1/20:4), PE (O-16:0/20:4), and TAG (56:6/FA18:0) were significantly changed in ABP patients who improved. For HLAP patients, PC (18:0/20:3), TAG (48:3/FA18:1), PE (P-18:0/16:0), and TAG (48:4/FA18:2) showed different trends in patients with improvement and deterioration, which might be used for prognosis.

CONCLUSIONS

Phospholipids and glycerolipids were found to be potential biomarkers in acute pancreatitis, which offers new diagnostic and therapeutic insights into this disease.

Chronic liver disease is an important risk factor for worse outcomes in acute pancreatitis: a systematic review and meta-analysis

Chronic liver diseases (CLD) affect 1.5 billion patients worldwide, with dramatically increasing incidence in recent decades. It has been hypothesized that the chronic hyperinflammation associated with CLD may increase the risk of a more severe course of acute pancreatitis (AP). This study aims to investigate the underlying impact of CLD on the outcomes of AP. A systematic search was conducted in Embase, Medline, and Central databases until October 2022. Studies investigating patients with acute pancreatitis and CLD, were included in the meta-analysis. A total of 14,963 articles were screened, of which 36 were eligible to be included. CLD was a risk factor for increased mortality with an odds ratio (OR) of 2.53 (CI 1.30 to 4.93, p = 0.01). Furthermore, renal, cardiac, and respiratory failures were more common in the CLD group, with ORs of 1.92 (CI 1.3 to 2.83, p = 0.01), 2.11 (CI 0.93 to 4.77, p = 0.062) and 1.99 (CI 1.08 to 3.65, p = 0.033), respectively. Moreover, the likelihood of developing Systemic Inflammatory Response Syndrome (SIRS) was significantly higher, with an OR of 1.95 (CI 1.03 to 3.68, p = 0.042). CLD is an important risk factor for worse outcomes in AP pancreatitis, leading to higher mortality and increased rates of local and systemic complications.

Normal saline versus Ringer's solution and critical-illness mortality in acute pancreatitis: a nationwide inpatient database study

BACKGROUND

Fluid resuscitation is fundamental in acute pancreatitis (AP) treatment. However, the optimal choice between normal saline (NS) and Ringer's solution (RS), and its impact on mortality in critically ill patients, remains controversial. This retrospective cohort study, utilizing a national Japanese inpatient database, investigates this question.

METHODS

Using the Japanese Diagnosis Procedure Combination database between July 2010 and March 2021, we identified adult patients hospitalized in intensive care units (ICU) or high-dependency care units (HDU) for AP who survived at least three days and received sufficient fluid resuscitation (≥ [10 ml/kg/hr*1 h + 1 ml/kg/hr*71 h] ml) within three days of admission including emergency room infusions. Patients were classified into groups based on the predominant fluid type received: the NS group (> 80% normal saline) and the RS group (> 80% Ringer's solution). Propensity score matching was employed to reduce potential confounding factors and facilitate a balanced comparison of in-hospital mortality between the two groups.

RESULTS

Our analysis included 8710 patients with AP. Of these, 657 (7.5%) received predominantly NS, and 8053 (92.5%) received predominantly RS. Propensity score matching yielded 578 well-balanced pairs for comparison. The NS group demonstrated significantly higher in-hospital mortality than the RS group (12.8% [474/578] vs. 8.5% [49/578]; risk difference, 4.3%; 95% confidence interval, 0.3% to 8.3%).

CONCLUSIONS

In patients admitted to ICU or HDU with AP receiving adequate fluid resuscitation, RS can be a preferred infusion treatment compared to NS.

Risk Factors and Prediction of 28-Day-All Cause Mortality Among Critically Ill Patients with Acute Pancreatitis Using Machine Learning Techniques: A Retrospective Analysis of Multi-Institutions

Objective

This study aimed to identify the risk factors and construct a reliable prediction model of 28-day all-cause mortality in critically ill patients with acute pancreatitis (AP) using machine learning techniques.

Methods

A total of 534 patients from three different institutions were included. Thirty-eight possible variables were collected from the Intensive care unit (ICU) admission for investigation. Patients were split into a training cohort (n = 400) and test cohort (n = 134) according to their source of hospital. The synthetic minority oversampling technique (SMOTE) was introduced to handle the inherent class imbalance. Six machine learning algorithms were applied in this study. The optimal machine learning model was chosen after patients in the test cohort were selected to validate the models. SHapley Additive exPlanation (SHAP) analysis was performed to rank the importance of variable. The predictive performance of the models was evaluated by the calibration curve, area under the receiver operating characteristics curves (AUROC), and decision clinical analysis.

Results

About 13.5% (72/534) of all patients eventually died of all-cause within 28 days of ICU admission. Eight important variables were screened out, including white blood cell count, platelets, body temperature, age, blood urea nitrogen, red blood cell distribution width, SpO2, and hemoglobin. The support vector machine (SVM) algorithm performed best in predicting 28-d all-cause death. Its AUROC reached 0.877 (95% CI: 0.809 to 0.927, p < 0.001), the Youden index was 0.634 (95% CI: 0.459 to 0.717). Based on the risk stratification system, the difference between the high-risk and low-risk groups was significantly different.

Conclusion

In conclusion, this study developed and validated SVM model, which better predicted 28-d all-cause mortality in critically ill patients with AP. In the future, we will continue to include patients from more institutions to conduct validation in different contexts and countries.

Unravelling the role of gut microbiota in acute pancreatitis: integrating Mendelian randomization with a nested case-control study

Background

Gut microbiota may influence the development of acute pancreatitis (AP), a serious gastrointestinal disease with high morbidity and mortality. This study aimed to identify a causal link by investigating the relationship between gut microbiota and AP.

Methods

Mendelian randomization (MR) and a nested case-control study were used to explore associations between gut microbiota composition and AP. 16S rRNA sequencing, random forest modelling (RF), support vector machine (SVM), and Kaplan-Meier survival analysis was applied to identify significant gut microbiota and their correlation with hospitalization duration in AP patients.

Results

Bidirectional MR results confirmed a causal link between specific gut microbiota and AP (15 and 8 microbial taxa identified via forward and reverse MR, respectively). The 16S rRNA sequencing analysis demonstrated a pronounced difference in gut microbiota composition between cases and controls. Notably, after a comprehensive evaluation of the results of RF and SVM, Bacteroides plebeius (B. plebeius) was found to play a significant role in influencing the hospital status. Using a receiver operating characteristic (ROC) curve, the predictive power (0.757) of B. plebeius. Kaplan-Meier survival analysis offered further insight that patients with an elevated abundance of B. plebeius experienced prolonged hospital stays.

Conclusion

Combining MR with nested case-control studies provided a detailed characterization of interactions between gut microbiota and AP. B. plebeius was identified as a significant contributor, suggesting its role as both a precursor and consequence of AP dynamics. The findings highlight the multifactorial nature of AP and its complex relationship with the gut microbiota. This study lays the groundwork for future therapeutic interventions targeting microbial dynamics in AP treatment.

Prediction of in-hospital Mortality of Intensive Care Unit Patients with Acute Pancreatitis Based on an Explainable Machine Learning Algorithm

BACKGROUND AND AIM

Acute pancreatitis (AP) is potentially fatal. Therefore, early identification of patients at a high mortality risk and timely intervention are essential. This study aimed to establish an explainable machine-learning model for predicting in-hospital mortality of intensive care unit (ICU) patients with AP.

METHODS

Data on patients with AP, including demographics, vital signs, laboratory tests, comorbidities, treatment, complication, and severity scores, were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) and the eICU collaborative research database (eICU-CRD). Based on the data from MIMIC-IV, we used the least absolute shrinkage and selection operator algorithm to select variables and then established 9 machine-learning models and screened the optimal model. Data from the eICU-CRD were used for external validation. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, decision curve, and calibration plots were used to assess the models' efficacy. Shapley's additive explanation values were used to explain the model.

RESULTS

Gaussian naive Bayes (GNB) model had the best performance on the data from MIMIC-IV, with an AUC, accuracy, sensitivity, and specificity of 0.840, 0.787, 0.839, and 0.792, respectively. The GNB model also performed well on the data from the eICU-CRD, with an AUC, accuracy, sensitivity, and specificity of 0.862, 0.833, 0.848, and 0.763, respectively. According to Shapley's additive explanation values, the top 4 predictive factors were maximum red cell distribution width, minimum saturation of blood oxygen, maximum blood urea nitrogen, and the Sequential Organ Failure Assessment score.

CONCLUSION

The GNB model demonstrated excellent performance and generalizability in predicting mortality in ICU patients with AP. Therefore, it can identify patients at a high mortality risk.

Construction and validation of a rat model of acute necrotizing pancreatitis-associated intestinal injury

Acute pancreatitis (AP) is an acute inflammatory reaction of the pancreatic tissue, which involves auto-digestion, edema, hemorrhage, and necrosis. AP can be categorized into mild, moderately severe, and severe AP, with severe pancreatitis also referred to as acute necrotizing pancreatitis (ANP). ANP is characterized by the accumulation of necrotic material in the peritoneal cavity. This can result in intestinal injury. However, the mechanism of ANP-associated intestinal injury remains unclear. We established an ANP-associated intestinal injury rat model (ANP-IR model) by injecting pancreatitis-associated ascites fluid (PAAF) and necrotic pancreatic tissue at various proportions into the triangular area formed by the left renal artery and ureter. The feasibility of the ANP-IR model was verified by comparing the similar changes in indicators of intestinal inflammation and barrier function between the two rat models. In addition, we detected changes in apoptosis levels and YAP protein expression in the ileal tissues of rats in each group and validated them in vitro in rat epithelial crypt cells (IEC-6) to further explore the potential injury mechanisms of ANP-associated intestinal injury. We also collected clinical data from patients with ANP to validate the effects of PAAF and pancreatic necrosis on intestinal injury. Our findings offer a theoretical basis for restricting the buildup of peritoneal necrosis in individuals with ANP, thus promoting the restoration of intestinal function and enhancing treatment efficacy. The use of the ANP-IR model in further studies can help us better understand the mechanism and treatment of ANP-associated intestinal injury.NEW & NOTEWORTHY We constructed a rat model of acute necrotizing pancreatitis-associated intestinal injury and verified its feasibility. In addition, we identified the mechanism by which necrotic pancreatic tissue and pancreatitis-associated ascites fluid (PAAF) cause intestinal injury through the HIPPO signaling pathway.

Analysis of Risk Factors for Severe Acute Pancreatitis in the Early Period (<24 h) After Admission

BACKGROUND

Severe acute pancreatitis (SAP) has high mortality. Early identification of high-risk factors that may progress to SAP and active intervention measures may improve the prognosis of SAP patients.

OBJECTIVE

Clinical data within 24 h after admission were retrospectively analyzed to provide an evidence for early screening of high-risk factors in patients with SAP.

METHODS

A review of clinical data of acute pancreatitis patients from January 1, 2018, to December 31, 2022, was conducted. We compared the clinical data of SAP and non-SAP patients, and a multivariable logistic regression model was used to identify the independent predictors of SAP. The receiver operating characteristic (ROC) curve of SAP was drawn for continuous numerical variables to calculate the optimal clinical cutoff value of each variable, and the predictive value of each variable was compared by the area under the ROC curve.

RESULTS

Based on the multivariate logistic regression analysis of Age (odds ratio (OR), 1.032;95% confident interval (CI),1.018-1.046, p < 0.001), body mass index (BMI) (OR, 1.181; 95% CI,1.083-1.288, p < 0.001), Non-HTGAP (nonhypertriglyceridemic acute pancreatitis) (OR, 2.098; 95% CI,1.276-3.45, p = 0.003), white blood cell count (WBC) (OR,1.072; 95% CI,1.034-1.111, p < 0.001), procalcitonin (PCT) (OR, 1.060; 95% CI, 1.027-1.095, p < 0.001), serum calcium (Ca) (OR,0.121; 95% CI, 0.050-0.292, p < 0.001), computed tomography severity index (CTSI) ≥4 (OR,12.942;95% CI,7.267-23.049, p < 0.001) were identified as independent risk factors for SAP. The area under the ROC curve (AUC) and optimal CUT-OFF values of continuous numerical variables for predicting SAP were Age (0.6079,51.5), BMI (0.6,23.25), WBC (0.6701,14.565), PCT (0.7086, 0.5175), Ca (0.7787,1.965), respectively.

CONCLUSION

Age, BMI, non-HTGAP, WBC, PCT, serum Ca and CTSI≥4 have good predictive value for SAP.

Overexpression of Plakophilin2 Mitigates Capillary Leak Syndrome in Severe Acute Pancreatitis by Activating the p38/MAPK Signaling Pathway

Purpose

Capillary leak syndrome (CLS) is an intermediary phase between severe acute pancreatitis (SAP) and multiple organ failure. As a result, CLS is of clinical importance for enhancing the prognosis of SAP. Plakophilin2 (PKP2), an essential constituent of desmosomes, plays a critical role in promoting connections between epithelial cells. However, the function and mechanism of PKP2 in CLS in SAP are not clear at present.

Methods

We detected the expression of PKP2 in mice pancreatic tissue by transcriptome sequencing and bioinformatics analysis. PKP2 was overexpressed and knocked down to assess its influence on cell permeability, the cytoskeleton, tight junction molecules, cell adhesion junction molecules, and associated pathways.

Results

PKP2 expression was increased in the pancreatic tissues of SAP mice and human umbilical vein endothelial cells (HUVECs) after lipopolysaccharide (LPS) stimulation. PKP2 overexpression not only reduced endothelial cell permeability but also improved cytoskeleton relaxation in response to acute inflammatory stimulation. PKP2 overexpression increased levels of ZO-1, occludin, claudin1, β-catenin, and connexin43. The overexpression of PKP2 in LPS-induced HUVECs counteracted the inhibitory effect of SB203580 (a p38/MAPK signaling pathway inhibitor) on the p38/MAPK signaling pathway, thereby restoring the levels of ZO-1, β-catenin, and claudin1. Additionally, PKP2 suppression eliminated the enhanced levels of ZO-1, β-catenin, occludin, and claudin1 induced by dehydrocorydaline. We predicted that the upstream transcription factor PPARγregulates PKP2 expression, and our findings demonstrate that the PPARγactivator rosiglitazone significantly upregulates PKP2, whereas its antagonist GW9662 down-regulates PKP2. Administration of rosiglitazone significantly reduced the increase in HUVECs permeability stimulated by LPS. Conversely, PKP2 overexpression counteracted the GW9662-induced reduction in ZO-1, phosphorylated p38/p38, and claudin1.

Conclusion

The activation of the p38/MAPK signaling pathway by PKP2 mitigates CLS in SAP. PPARγactivator rosiglitazone can up-regulate PKP2. Overall, directing efforts toward PKP2 could prove to be a feasible treatment approach for effectively managing CLS in SAP.

Impact of glucose-containing fluid on acute pancreatitis outcomes: A multicenter retrospective analysis

INTRODUCTION

Fluid resuscitation reduces mortality and morbidity in acute pancreatitis (AP); however, whether glucose-containing fluids negatively impact AP remains uncertain. We aimed to examine the association between glucose-containing fluids and AP outcomes.

METHODS

This multicenter retrospective cohort study included patients diagnosed with AP between January 2015 and December 2018. Glucose density was defined as total glucose content divided by total fluid volume (g/dl) on day 1, and was considered high if the level exceeded the median. Endpoints were early organ failure (OF), including cardiovascular, renal, or respiratory system failure within 7 days; 30-day OF; ICU admission; and AP-related 90-day mortality. Logistic regression models, restricted cubic spline curves, and Cox proportional hazards models were used for statistical analysis.

RESULTS

From the database, 1,146 patients with AP were included. Early OF occurred in 8.8% of patients within 7 days. The high glucose-density group (>5 g/dl) had increased risk of early OF (9.7% vs. 8.2%; adjusted odds ratio [aOR], 1.69; 95% confidence interval [CI], 1.03-2.80; P = 0.039), respiratory failure (8.0% vs. 6.2%; aOR, 1.88; 95% CI, 1.09-3.24; P = 0.024), cardiovascular failure (3.4% vs. 2.4%; aOR, 3.59; 95% CI, 1.28-10.0; P = 0.015), and ICU admission (6.8% vs. 5.8%; aOR, 2.06; 95% CI, 1.08-3.94; P = 0.029), with a dose-response effect observed for cardiovascular failure and ICU admission. A significant increase 30-day OF risk (adjusted hazard ratio [aHR], 1.70; 95% CI, 1.19-2.45) was also noted.

CONCLUSION

Excess glucose-containing fluid was associated with increased risks of overall, respiratory, and cardiovascular OF and ICU admission in AP.

Practical approach to acute pancreatitis: from diagnosis to the management of complications

The purpose of this review is to provide a practical guide for the clinical care of patients with acute pancreatitis (AP) from the management of the early phases of disease to the treatment of local complications. AP is one of the most frequent causes of gastroenterological admission in emergency departments. It is characterized by a dynamic and unpredictable course and in its most severe forms, is associated with organ dysfunction and/or local complications, requiring intensive care with significant morbidity and mortality. Initial therapy includes adequate fluid resuscitation, nutrition, analgesia, and when necessary critical care support. In recent years, the development of minimally invasive tailored treatments for local complications, such as endoscopic drainage, has improved patients' acceptance and outcomes. Despite this, the management of AP remains a challenge for clinicians. The present review was conducted by the authors, who formulated specific questions addressing the most critical and current aspects of the clinical course of AP with the aim of providing key messages.

Predictive Value of Troponin I, Creatinine Kinase Isoenzyme and the New Japanese Severity Score in Severe Acute Pancreatitis

Purpose

To evaluate troponin I, creatine kinase isoenzyme, and the new Japanese Severity Score(JSS) for predicting Severe Acute Pancreatitis-Associated myocardial Injury(SACI).

Patients and Methods

This retrospective study included 136 patients with Severe Acute Pancreatitis, hospitalized in grade-III hospital from June 1, 2015, to October 31, 2022; selected using convenience sampling method and divided into SACI occurrence (n =34) and SACI non-occurrence (n =102) groups. New JSS evaluated predictive value of each SACI index. Binary logistic regression model compared risk factors and constructed a prediction model. Area under receiver operating characteristic curve (AUC) and Hosmer-Lemeshow goodness of fit test evaluated model's prediction efficiency and calibration ability.

Results

The incidence of SACI was 25%. Univariate analysis found that troponin I and creatine kinase isoenzyme were significantly different (P < 0.05) and independent risk factors for SACI. The new JSS, troponin I, and creatine kinase isoenzyme were included in the prediction model. The prediction model had a good calibration ability, and its predicted value and the actual observed value were not significantly different (Hosmer-Lemeshow χ2 = 5.408, P = 0.368). AUC of the model was 0.803 (95% CI: 0.689-0.918), and the optimal threshold of the prediction model was 0.318 with the maximum Youden index (0.488). The AUC for internal validation was 0.788 (95% CI: 0.657-0.876), and external validation was 0.761 (95% CI: 0.622-0.832).

Conclusion

Troponin I and creatine kinase isoenzymes combined with the new JSS have a high predictive value for SACI, improving the early prediction and treatment of at-risk patients.

Low free T3 level may predict the severity of acute pancreatitis

OBJECTIVES

To demonstrate that deterioration in thyroid function tests can serve as an indicator of severity and prognosis in acute pancreatitis despite a healthy thyroid gland.

METHODS

This study is a retrospective, single-center study. Patients diagnosed with acute pancreatitis between May 2020 and June 2021 were evaluated. Acute pancreatitis was diagnosed and classified according to the 2012 revised Atlanta criteria. Patients were categorized into Non-Thyroidal Illness Syndrome and euthyroid groups and compared in terms of biochemical parameters and scoring systems such as Ranson, Glasgow, Balthazar and BISAP scores.

RESULTS

A total of 152 patients were included in the study. Eighty-three patients (54%) were euthyroid, with free triiodothyronine (T3), free thyroxine (T4), and Thyroid-stimulating hormone (TSH) levels within normal limits. Sixty-nine patients (46%) had Non-Thyroidal Illness Syndrome with low serum free T3 levels and low/normal TSH levels. As expected, free T3 was significantly lower in the Non-Thyroidal Illness Syndrome group than in the euthyroid group (1.5 ± 0.04 vs 2.6 ± 0.04, respectively, p < 0.0001). In the Non-Thyroidal Illness Syndrome group, Ranson score (3.35 ± 0.2 vs 2.11 ± 0.18 p < 0.0001), Glasgow (2.4 ± 0.2 vs 1.3 ± 0.1, p < 0.0001), Atlanta (p = 0.007), and Balthazar (2.1 ± 0.1 vs 1.4 ± 0.1, p = 0.001) scores were significantly higher than euthyroid group.

CONCLUSION

Non-Thyroidal Illness Syndrome provides insight into the prognosis of acute pancreatitis. Free T3 values are a significant parameter that may indicate the prognosis of acute pancreatitis. We believe that free T3 could be incorporated into an ideal scoring system in a disease such as acute pancreatitis, where early determination of prognosis is known to significantly reduce mortality.

C-reactive protein/lymphocyte ratio as a prognostic biomarker in acute pancreatitis: a cross-sectional study assessing disease severity

BACKGROUND

The C-reactive protein/lymphocyte ratio (CLR) is a prognostic biomarker of various diseases. However, its significance in acute pancreatitis (AP) remains unknown. The main aim of this study was to investigate the association between the CLR and disease severity in patients with AP.

METHODS

This cross-sectional study included 476 AP patients [mild acute pancreatitis (MAP), n =176; moderately severe acute pancreatitis (MSAP) and severe acute pancreatitis (SAP), n =300]. The primary exposure of interest was the baseline CLR. The primary outcome was the incidence of moderate to severe AP. Multivariate logistic regression and restricted cubic spline analyses were performed to evaluate the association between the CLR and the incidence of moderate to severe AP. Receiver operating characteristic (ROC) analysis was conducted to assess the predictive efficacy, sensitivity, and specificity of CLR in predicting the incidence of moderate to severe AP.

RESULTS

The mean age of the patients was 44±13.2 years, and 76.5% were male. The distribution of CLR was 31.6 (interquartile range, 4.5, 101.7). Moderate to severe AP occurred in 300 cases (63.0%). After multiple adjustments, CLR was independently associated with the incidence of moderate to severe AP (odds ratio, 1.04; 95% CI: 1.03-1.05; P < 0.001). A nonlinear relationship was found between CLR and the incidence of moderate to severe AP, with a threshold of approximately 45. The effect size and CI below and above the threshold value were 1.061 (1.033-1.089) and 1.014 (0.997-1.031), respectively. The area under the curve (AUC) for CLR was 87.577% (95% CI: 84.443- 90.710%) with an optimal cut-off value of 30.835, resulting in a sensitivity of 73.7% and a specificity of 88.6%.

CONCLUSIONS

There was a nonlinear relationship with a saturation effect between the CLR and the incidence of moderate to severe AP. The CLR measured within 24 h of admission may serve as a promising biomarker for predicting the emergence of moderate to severe AP, thereby providing a more scientifically grounded basis for preventing such cases. Nonetheless, further research is warranted to validate and strengthen these findings.

A core outcome set for acute necrotizing pancreatitis: An Eastern Association for the Surgery of Trauma modified Delphi method consensus study

BACKGROUND

The management of acute necrotizing pancreatitis (ANP) has changed dramatically over the past 20 years including the use of less invasive techniques, the timing of interventions, nutritional management, and antimicrobial management. This study sought to create a core outcome set (COS) to help shape future research by establishing a minimal set of essential outcomes that will facilitate future comparisons and pooling of data while minimizing reporting bias.

METHODS

A modified Delphi process was performed through involvement of ANP content experts. Each expert proposed a list of outcomes for consideration, and the panel anonymously scored the outcomes on a 9-point Likert scale. Core outcome consensus defined a priori as >70% of scores receiving 7 to 9 points and <15% of scores receiving 1 to 3 points. Feedback and aggregate data were shared between rounds with interclass correlation trends used to determine the end of the study.

RESULTS

A total of 19 experts agreed to participate in the study with 16 (84%) participating through study completion. Forty-three outcomes were initially considered with 16 reaching consensuses after four rounds of the modified Delphi process. The final COS included outcomes related to mortality, organ failure, complications, interventions/management, and social factors.

CONCLUSION

Through an iterative consensus process, content experts agreed on a COS for the management of ANP. This will help shape future research to generate data suitable for pooling and other statistical analyses that may guide clinical practice.

LEVEL OF EVIDENCE

Therapeutic/Care Management; Level V.

Peri-onset non-steroidal anti-inflammatory drugs use and organ failure in acute pancreatitis: A multicenter retrospective analysis

BACKGROUND

Organ failure (OF) of acute pancreatitis (AP) significantly contributes to AP-related mortality. Non-steroidal anti-inflammatory drugs (NSAIDs) have been associated with reduced complications of AP.

AIMS

We aimed to investigate whether NSAIDs ameliorates SIRS and OF in patients with AP.

METHODS

Eligible patients with AP were retrospectively identified in 4 hospitals between January 2015 and December 2018. Associations between peri-onset NSAIDs use (day -3 to day 3) and OF, persistent OF (POF), and SIRS within the first week were analyzed. Propensity score-matched (PSM) analysis and inverse probability of treatment-weighted (IPTW) analysis were used to estimate risk ratios.

RESULTS

Among 1,528 patients with AP (97 [6.3%] with NSAIDs use), 242 (15.8%) developed organ failure, 89 (5.8%) progressed to POF, and 27 (1.8%) died within 3 months. PSM analysis showed no association between peri-onset NSAIDs and OF (risk ratio [RR], 1.00; 95% confidence interval [CI], 0.46 to 2.15) and POF (RR, 0.80; 95% CI, 0.21 to 2.98). IPTW analysis yielded similar results. Patients with and without peri-onset NSAIDs use were comparable with respect to OF, POF, and SIRS across subgroups defined by COX-2 selectivity and dose.

CONCLUSION

Peri-onset NSAIDs use was not significantly associated with reduced OF.

Deletion of myeloid-specific Orai1 calcium channel does not affect pancreatic tissue damage in experimental acute pancreatitis

BACKGROUND

Store-operated Ca2+ entry (SOCE) mediated by ORAI1 channel plays a crucial role in acute pancreatitis (AP). Macrophage is an important regulator in amplifying pancreatic tissue damage, but little is known about the role of ORAI1 in macrophages. In this study, we examined the effects of macrophage-specific ORAI1 on pancreatic tissue damage in AP.

METHOD

Myeloid-specific Orai1 deficient mice was generated by crossing a LysM-Cre mouse line with Orai1f/f mice. Bone marrow-derived macrophages (BMDMs) were isolated, cultured, and stimulated to induce M1 or M2 macrophage polarization. Intracellular Ca2+ signals were measured by time-lapse confocal microscope imaging, with a Ca2+ indicator (Fluo 4). Experimental AP was induced by hourly intraperitoneal injections of caerulein or retrograde biliopancreatic infusion of sodium taurocholate. Pancreatic tissue damage was assessed by histopathological scoring and immunostaining. Sepsis was induced by intraperitoneal injection of lipopolysaccharide; organ damage and serum pro-inflammatory cytokines were measured.

RESULT

Myeloid-specific Orai1 deletion exhibited minimal effect on SOCE in M0 macrophages and promoted M2 macrophage polarization ex vivo. Myeloid-specific Orai1 deletion did not affect pancreatic tissue damage, nor neutrophil or macrophage infiltration in two models of AP. Similarly, myeloid-specific Orai1 deletion did not influence overall survival rate in a model of sepsis, nor lung, kidney, and liver damage; while serum pro-inflammatory cytokines, including IL-6, TNF-α, and IL-1β were higher in Orai1ΔLysM mice, but were largely reduced in mice with Orai1 inhibitor.

CONCLUSION

Our data suggest that ORAI1 may not be a predominant SOCE channel in macrophages and play a limited role in mediating pancreatic tissue damage in AP.

hP-MSCs attenuate severe acute pancreatitis in mice via inhibiting NLRP3 inflammasome-mediated acinar cell pyroptosis

BACKGROUND

Severe acute pancreatitis (SAP) is a serious gastrointestinal disease that is facilitated by pancreatic acinar cell death. The protective role of human placental mesenchymal stem cells (hP-MSCs) in SAP has been demonstrated in our previous studies. However, the underlying mechanisms of this therapy remain unclear. Herein, we investigated the regularity of acinar cell pyroptosis during SAP and investigated whether the protective effect of hP-MSCs was associated with the inhibition of acinar cell pyroptosis.

METHODS

A mouse model of SAP was established by the retrograde injection of sodium taurocholate (NaTC) solution in the pancreatic duct. For the hP-MSCs group, hP-MSCs were injected via the tail vein and were monitored in vivo. Transmission electron microscopy (TEM) was used to observe the pyroptosis-associated ultramorphology of acinar cells. Immunofluorescence and Western blotting were subsequently used to assess the localization and expression of pyroptosis-associated proteins in acinar cells. Systemic inflammation and local injury-associated parameters were evaluated.

RESULTS

Acinar cell pyroptosis was observed during SAP, and the expression of pyroptosis-associated proteins initially increased, peaked at 24 h, and subsequently showed a decreasing trend. hP-MSCs effectively attenuated systemic inflammation and local injury in the SAP model mice. Importantly, hP-MSCs decreased the expression of pyroptosis-associated proteins and the activity of the NOD-, LRR-, and pyrin domain-containing protein 3 (NLRP3) inflammasome in acinar cells.

CONCLUSIONS

Our study demonstrates the regularity and important role of acinar cell pyroptosis during SAP. hP-MSCs attenuate inflammation and inhibit acinar cell pyroptosis via suppressing NLRP3 inflammasome activation, thereby exerting a protective effect against SAP.

High-flow nasal cannula oxygen therapy is equally effective to noninvasive ventilation for mild-moderate acute respiratory distress syndrome in patients with acute pancreatitis: A single-center, retrospective cohort study

BACKGROUND

The use of high-flow nasal cannula (HFNC) oxygen therapy is gaining popularity for the treatment of acute hypoxic respiratory failure. However, limited evidence exists regarding the effectiveness of HFNC for acute respiratory distress syndrome (ARDS) in patients with acute pancreatitis (AP).

METHODS

This retrospective analysis focused on AP patients with mild-moderate ARDS, who were treated with either HFNC or noninvasive ventilation (NIV) in the emergency medicine department, from January 2020 to December 2022. The primary endpoint was treatment failure, defined as either invasive ventilation or a switch to any other study treatment (NIV for patients in the NFNC group and vice versa).

RESULTS

A total of 146 patients with AP (68 in the HFNC group and 78 in the NIV group) were included in this study. The treatment failure rate in the HFNC group was 17.6% and 19.2% in the NIV group - a risk difference of -1.6% (95% CI, -11.3 to 14.0%; P = 0.806). The most common causes of failure in the HFNC group were aggravation of respiratory distress and hypoxemia. However, in the NIV group, the most common reasons for failure were treatment intolerance and exacerbation of respiratory distress. Treatment intolerance in the HFNC group was significantly lower than that in the NIV group (16.7% vs 60.0%, 95% CI -66.8 to -6.2; P = 0.023). Multivariate logistic regression analysis showed that body mass index (≥28), acute physiology and chronic health evaluation II score (≥15), partial arterial oxygen tension/fraction of inspired oxygen (≤200), and respiratory rate (≥32/min) at 1 hour were independent predictors of HFNC failure.

CONCLUSION

In AP patients with mild-moderate ARDS, the usage of HFNC did not lead to a higher rate of treatment failure when compared to NIV. HFNC is an ideal choice of respiratory support for patients with NIV intolerance, but clinical application should pay attention to the influencing factors of its treatment failure.

The role of Interleukin-22 in severe acute pancreatitis

Severe acute pancreatitis (SAP) begins with premature activation of enzymes, promoted by the immune system, triggering a potential systemic inflammatory response that leads to organ failure with increased mortality and a bleak prognosis. Interleukin-22 (IL-22) is a cytokine that may have a significant role in SAP. IL-22, a member of the IL-10 cytokine family, has garnered growing interest owing to its potential tissue-protective properties. Recently, emerging research has revealed its specific effects on pancreatic diseases, particularly SAP. This paper provides a review of the latest knowledge on the role of IL-22 and its viability as a therapeutic target in SAP.

The Predictive Value of Serum DAO, HDC, and MMP8 for the Gastrointestinal Injury in the Early Stage of Acute Pancreatitis in an Animal Model and a Clinical Study

Purpose

This study was aimed at exploring the use of the acute gastrointestinal injury (AGI) grade and sensitive biomarkers to investigate gastrointestinal (GI) injury in early stage of acute pancreatitis (AP).

Patients and Methods

The AGI grade was used to evaluate intestinal function. Any GI injury above grade I (grades II-IV) was considered as severe. An AP rat model was created by retrograde injection of 4% sodium taurocholate. The pancreatic and intestinal histopathology scores were calculated by hematoxylin-eosin staining. Human and rat sera were assessed using ELISA. Tight junction (TJ) proteins were detected by Western blotting.

Results

In clinical study, the GI injury rate in mild acute pancreatitis (MAP), moderate severe acute pancreatitis (MSAP), and severe acute pancreatitis (SAP) groups was 26.8%, 78.4%, and 94.8%, respectively (P < 0.05). Diamine oxidase (DAO), histidine decarboxylase (HDC), and matrix metalloproteinase 8 (MMP8) serum levels were higher in AP patients than in healthy people (P < 0.05). Patients with GI injury had higher serum levels of DAO, HDC, and MMP8 than those without GI injury (P < 0.05). In animal experiments, the serum levels of DAO, HDC, and MMP8 were higher in the AP group than in normal and sham-operated (SO) groups (P < 0.05). The expressions of tricellulin, claudin-1, ZO-1, and occludin were significantly lower in the AP group than in normal and SO groups (P < 0.05).

Conclusion

The serum levels of DAO, HDC, and MMP8 are novel biomarkers of GI injury in the early stage of AP; their elevation indicates the development of GI injury in AP. The intestinal TJ disruption may be a primary mechanism of GI injury and requires more in-depth research.

Evaluation of TikTok videos on acute pancreatitis: content quality and reliability analysis

BACKGROUND

Acute pancreatitis (AP) is a common acute digestive system disorder, with patients often turning to TikTok for AP-related information. However, the platform's video quality on AP has not been thoroughly investigated.

OBJECTIVE

The main purpose of this study is to evaluate the quality of videos about AP on TikTok, and the secondary purpose is to study the related factors of video quality.

METHODS

This study involved retrieving AP-related videos from TikTok, determining, and analyzing them based on predefined inclusion and exclusion criteria. Relevant data were extracted and compiled for evaluation. Video quality was scored using the DISCERN instrument and the Health on the Net (HONcode) score, complemented by introducing the Acute Pancreatitis Content Score (APCS). Pearson correlation analysis was used to assess the correlation between video quality scores and user engagement metrics such as likes, comments, favorites, retweets, and video duration.

RESULTS

A total of 111 TikTok videos were included for analysis, and video publishers were composed of physicians (89.18%), news media organizations (13.51%), individual users (5.41%), and medical institutions (0.9%). The majority of videos focused on AP-related educational content (64.87%), followed by physicians' diagnostic and treatment records (15.32%), and personal experiences (19.81%). The mean scores for DISCERN, HONcode, and APCS were 33.05 ± 7.87, 3.09 ± 0.93, and 1.86 ± 1.30, respectively. The highest video scores were those posted by physicians (35.17 ± 7.02 for DISCERN, 3.31 ± 0.56 for HONcode, and 1.94 ± 1.34 for APCS, respectively). According to the APCS, the main contents focused on etiology (n = 55, 49.5%) and clinical presentations (n = 36, 32.4%), followed by treatment (n = 24, 21.6%), severity (n = 20, 18.0%), prevention (n = 19, 17.1%), pathophysiology (n = 17, 15.3%), definitions (n = 13, 11.7%), examinations (n = 10, 9%), and other related content. There was no correlation between the scores of the three evaluation tools and the number of followers, likes, comments, favorites, and retweets of the video. However, DISCERN (r = 0.309) and APCS (r = 0.407) showed a significant positive correlation with video duration, while HONcode showed no correlation with the duration of the video.

CONCLUSIONS

The general quality of TikTok videos related to AP is poor; however, the content posted by medical professionals shows relatively higher quality, predominantly focusing on clinical presentations and etiologies. There is a discernible correlation between video duration and quality ratings, indicating that a combined approach incorporating the guideline can comprehensively evaluate AP-related content on TikTok.

Machine learning improves early prediction of organ failure in hyperlipidemia acute pancreatitis using clinical and abdominal CT features

BACKGROUND

This study aimed to investigate and validate machine-learning predictive models combining computed tomography and clinical data to early predict organ failure (OF) in Hyperlipidemic acute pancreatitis (HLAP).

METHODS

Demographics, laboratory parameters and computed tomography imaging data of 314 patients with HLAP from the First Affiliated Hospital of Wenzhou Medical University between 2017 and 2021, were retrospectively analyzed. Sixty-five percent of patients (n = 204) were assigned to the training group and categorized as patients with and without OF. Parameters were compared by univariate analysis. Machine-learning methods including random forest (RF) were used to establish model to predict OF of HLAP. Areas under the curves (AUCs) of receiver operating characteristic were calculated. The remaining 35% patients (n = 110) were assigned to the validation group to evaluate the performance of models to predict OF.

RESULTS

Ninety-three (45.59%) and fifty (45.45%) patients from the training and the validation cohort, respectively, developed OF. The RF model showed the best performance to predict OF, with the highest AUC value of 0.915. The sensitivity (0.828) and accuracy (0.814) of RF model were both the highest among the five models in the study cohort. In the validation cohort, RF model continued to show the highest AUC (0.820), accuracy (0.773) and sensitivity (0.800) to predict OF in HLAP, while the positive and negative likelihood ratios and post-test probability were 3.22, 0.267 and 72.85%, respectively.

CONCLUSIONS

Machine-learning models can be used to predict OF occurrence in HLAP in our pilot study. RF model showed the best predictive performance, which may be a promising candidate for further clinical validation.

Association between serum triglyceride level and severity of acute biliary pancreatitis

BACKGROUND

Acute biliary pancreatitis (ABP) is the most common type of acute pancreatitis. However, the effect of serum triglyceride (TG) levels on the severity of ABP remains unclear. The aim of this study was to assess the correlation between serum TG levels and the severity of ABP.

METHODS

Data from 526 ABP patients was analyzed in this study. The patients were divided into normal and elevated groups according to the TG level measured within 24 h after admission, and the elevated group was further divided into mild, moderate, and severe elevated groups. The demographic data and clinical outcomes of each group were compared.

RESULTS

Of the 526 ABP patients, 394 were in the normal TG group and 132 were in the elevated TG group (36 mild, 57 moderate, and 39 severe). The elevated group was younger (51.5 ± 12.9 vs. 58.9 ± 13.9), predominantly male (66.7% vs. 45.2%), had more history of diabetes (22.7% vs. 12.4%) and hyperlipidemia (19.7% vs. 0.8%), and developed systemic inflammatory response syndrome (SIRS) (25.8% vs. 15.5%), persistent organ failure (POF) (11.4% vs. 2.8%), and local complications (62.9% vs. 42.1%) more frequently compared to the normal group (P < 0.05). The incidence of SIRS, POF, acute peripancreatic fluid collection (APFC), and acute necrotic collection (ANC) increased with increasing TG levels (Ptrend < 0.05). In multivariate analysis, TG was independently associated with POF, APFC, and ANC in increments of 100 mg/dl (P < 0.05), and there was a linear relationship between TG levels and POF, APFC, and ANC (non-linear P > 0.05, P overall <0.05). In addition, nonalcoholic fatty liver disease is not a risk factor for POF, ANC, and APFC in ABP patients.

CONCLUSIONS

Elevated serum TG levels were independently associated with more severe ABP. The incidence of POF, APFC, and ANC in ABP patients increased with the increase of TG levels, with a linear relationship.

Rheum palmatum L. and Salvia miltiorrhiza Bge. Alleviates Acute Pancreatitis by Regulating Th17 Cell Differentiation: An Integrated Network Pharmacology Analysis, Molecular Dynamics Simulation and Experimental Validation

OBJECTIVE

To identify the core targets of Rheum palmatum L. and Salvia miltiorrhiza Bge., (Dahuang-Danshen, DH-DS) and the mechanism underlying its therapeutic efficacy in acute pancreatitis (AP) using a network pharmacology approach and validate the findings in animal experiments.

METHODS

Network pharmacology analysis was used to elucidate the mechanisms underlying the therapeutic effects of DH-DS in AP. The reliability of the results was verified by molecular docking simulation and molecular dynamics simulation. Finally, the results of network pharmacology enrichment analysis were verified by immunohistochemistry, Western blot analysis and real-time quantitative PCR, respectively.

RESULTS

Sixty-seven common targets of DH-DS in AP were identified and mitogen-activated protein kinase 3 (MAPK3), Janus kinase 2 (JAK2), signal transducer and activator of transcription 3 (STAT3), protein c-Fos (FOS) were identified as core targets in the protein interaction (PPI) network analysis. Gene ontology analysis showed that cellular response to organic substance was the main functions of DH-DS in AP, and Kyoto Encyclopedia of Genes and Genomes analysis showed that the main pathway included Th17 cell differentiation. Molecular docking simulation confirmed that DH-DS binds with strong affinity to MAPK3, STAT3 and FOS. Molecular dynamics simulation revealed that FOS-isotanshinone II and STAT3-dan-shexinkum d had good binding capacity. Animal experiments indicated that compared with the AP model group, DH-DS treatment effectively alleviated AP by inhibiting the expression of interleukin-1β, interleukin-6 and tumor necrosis factor-α, and blocking the activation of Th17 cell differentiation (P<0.01).

CONCLUSION

DH-DS could inhibit the expression of inflammatory factors and protect pancreatic tissues, which would be functioned by regulating Th17 cell differentiation-related mRNA and protein expressions.

The Ongoing Debate on the Use of Prophylactic Antibiotics in Acute Pancreatitis-Is There a Conclusion? A Comprehensive Narrative Review

Acute pancreatitis (AP) is a common but often self-limiting disease in the majority of patients. However, in the minority, who may progress to moderately severe or severe AP, high mortality risk has been reported. Infected pancreatitis necrosis (IPN) in necrotising pancreatitis has been shown to result in more than twice the mortality rate compared with in sterile pancreatic necrosis. This raises the question on whether prophylactic antibiotics (PABs) should be given in subgroups of AP to prevent superimposed infection to improve survival outcomes. Despite numerous randomised controlled trials (RCTs), meta-analyses, and guidelines on the management of AP, there is a lack of strong evidence to suggest the use of PABs in AP. Additionally, use of PABs is associated with antimicrobial resistance. Considerable heterogeneity exists and limits the interpretation of results-subgroup of AP benefitting from PAB use, choice/class of PAB, and timing of administration from symptom onset and duration of PAB use. Only a minority of existing meta-analyses suggest mortality benefits and reduction in IPN. The majority of existing guidelines do not recommend the use of PABs in AP. More research is required to make more definitive conclusions. Currently, PAB should only be administered after multidisciplinary discussions led by pancreatology experts.

A quality improvement project to improve treatment of severe hypertriglyceridemia in veterans

BACKGROUND

Severe hypertriglyceridemia (sHTG) is associated with an increased risk of acute pancreatitis. Prompt recognition and treatment of sHTG is key for prevention of acute pancreatitis and its associated life-threatening complications.

LOCAL PROBLEM

Patients with sHTG at a primary care clinic within the Veterans Affairs Eastern Colorado Health Care System were receiving suboptimal treatment that did not align with evidence-based guidelines.

METHODS

We initiated a quality improvement (QI) project to improve the management of sHTG in an outpatient primary care clinic. Veterans with a triglyceride level between 500 and 1,500 mg/dl were included in the project.

INTERVENTIONS

Project interventions included provider education, patient education, and targeted electronic consultations (e-consults) with treatment recommendations. The primary outcome was to decrease the percentage of patients with triglycerides ≥500 mg/dl by 25%. The secondary outcome was to decrease the mean triglyceride level of the patient population by 15%.

RESULTS

Education on evaluation and treatment of sHTG was given to 100% (n = 21) of primary care clinicians. Overall, 72.8% (95% CI [62.6-81.6%]) of patients (n = 67) received appropriate written education materials, and 72.8% (95% CI [62.6-81.6%]) of patients (n = 67) received a targeted e-consult. The percentage of patients with sHTG decreased by 47%. Average triglyceride level decreased from 651 to 483 mg/dl (25.8% decrease).

CONCLUSION

A multipronged QI project consisting of provider education, patient education, and targeted e-consults resulted in decreased triglyceride levels and improved access to specialist expertise. Clinical implications include decreased prevalence of sHTG and risk of acute pancreatitis among patients in the project.

Identifying novel acute pancreatitis sub-phenotypes using total serum calcium trajectories

BACKGROUND

Acute pancreatitis (AP) has heterogeneous clinical features, and identifying clinically relevant sub-phenotypes is useful. We aimed to identify novel sub-phenotypes in hospitalized AP patients using longitudinal total serum calcium (TSC) trajectories.

METHODS

AP patients had at least two TSC measurements during the first 24 h of hospitalization in the US-based critical care database (Medical Information Mart for Intensive Care-III (MIMIC-III) and MIMIC-IV were included. Group-based trajectory modeling was used to identify calcium trajectory phenotypes, and patient characteristics and treatment outcomes were compared between the phenotypes.

RESULTS

A total of 4518 admissions were included in the analysis. Four TSC trajectory groups were identified: "Very low TSC, slow resolvers" (n = 65; 1.4% of the cohort); "Moderately low TSC" (n = 559; 12.4%); "Stable normal-calcium" (n = 3875; 85.8%); and "Fluctuating high TSC" (n = 19; 0.4%). The "Very low TSC, slow resolvers" had the lowest initial, maximum, minimum, and mean TSC, and highest SOFA score, creatinine and glucose level. In contrast, the "Stable normal-calcium" had the fewest ICU admission, antibiotic use, intubation and renal replace treatment. In adjusted analysis, significantly higher in-hospital mortality was noted among "Very low TSC, slow resolvers" (odds ratio [OR], 7.2; 95% CI, 3.7 to 14.0), "moderately low TSC" (OR, 5.0; 95% CI, 3.8 to 6.7), and "Fluctuating high TSC" (OR, 5.6; 95% CI, 1.5 to 20.6) compared with the "Stable normal-calcium" group.

CONCLUSIONS

We identified four novel sub-phenotypes of patients with AP, with significant variability in clinical outcomes. Not only the absolute TSC levels but also their trajectories were significantly associated with in-hospital mortality.

Activin A signaling stimulates neutrophil activation and macrophage migration in pancreatitis

Acute Pancreatitis (AP) is associated with high mortality and current treatment options are limited to supportive care. We found that blockade of activin A (activin) in mice improves outcomes in two murine models of AP. To test the hypothesis that activin is produced early in response to pancreatitis and is maintained throughout disease progression to stimulate immune cells, we first performed digital spatial profiling (DSP) of human chronic pancreatitis (CP) patient tissue. Then, transwell migration assays using RAW264.7 mouse macrophages and qPCR analysis of "neutrophil-like" HL-60 cells were used for functional correlation. Immunofluorescence and western blots on cerulein-induced pancreatitis samples from pancreatic acinar cell-specific Kras knock-in (Ptf1aCreER™; LSL-KrasG12D) and functional WT Ptf1aCreER™ mouse lines mimicking AP and CP to allow for in vivo confirmation. Our data suggest activin promotes neutrophil and macrophage activation both in situ and in vitro, while pancreatic activin production is increased as early as 1 h in response to pancreatitis and is maintained throughout CP in vivo. Taken together, activin is produced early in response to pancreatitis and is maintained throughout disease progression to promote neutrophil and macrophage activation.

Long-Term Outcome of Immediate Versus Postponed Intervention in Patients With Infected Necrotizing Pancreatitis (POINTER): Multicenter Randomized Trial

OBJECTIVE

To compare the long-term outcomes of immediate drainage versus the postponed-drainage approach in patients with infected necrotizing pancreatitis.

BACKGROUND

In the randomized POINTER trial, patients assigned to the postponed-drainage approach using antibiotic treatment required fewer interventions, as compared with immediate drainage, and over a third were treated without any intervention.

METHODS

Clinical data of those patients alive after the initial 6-month follow-up were re-evaluated. The primary outcome was a composite of death and major complications.

RESULTS

Out of 104 patients, 88 were re-evaluated with a median follow-up of 51 months. After the initial 6-month follow-up, the primary outcome occurred in 7 of 47 patients (15%) in the immediate-drainage group and 7 of 41 patients (17%) in the postponed-drainage group (RR 0.87, 95% CI 0.33-2.28; P =0.78). Additional drainage procedures were performed in 7 patients (15%) versus 3 patients (7%) (RR 2.03; 95% CI 0.56-7.37; P =0.34). The median number of additional interventions was 0 (IQR 0-0) in both groups ( P =0.028). In the total follow-up, the median number of interventions was higher in the immediate-drainage group than in the postponed-drainage group (4 vs. 1, P =0.001). Eventually, 14 of 15 patients (93%) in the postponed-drainage group who were successfully treated in the initial 6-month follow-up with antibiotics and without any intervention remained without intervention. At the end of follow-up, pancreatic function and quality of life were similar.

CONCLUSIONS

Also, during long-term follow-up, a postponed-drainage approach using antibiotics in patients with infected necrotizing pancreatitis results in fewer interventions as compared with immediate drainage and should therefore be the preferred approach.

TRIAL REGISTRATION

ISRCTN33682933.

Early Predictive Value of Different Indicators for Persistent Organ Failure in Acute Pancreatitis: A Systematic Review and Network Meta-Analysis

GOALS

In this study, we conducted this network meta-analysis (based on the ANOVA model) to evaluate the predictive efficacy of each early predictor.

BACKGROUND

Persistent organ failure (POF) is one of the determining factors in patients with acute pancreatitis (AP); however, the diagnosis of POF has a long-time lag (>48 h). It is of great clinical significance for the early noninvasive prediction of POF.

STUDY

We conducted a comprehensive and systematic search in PubMed, Cochrane library, Embase, and Web of Science to identify relevant clinical trials, case-control studies, or cohort studies, extracted the early indicators of POF in studies, and summarized the predictive efficacy of each indicator through network meta-analysis. The diagnostic odds ratio (DOR) was used to rank the prediction efficiency of each indicator.

RESULTS

We identified 23 studies in this network meta-analysis, including 10,393 patients with AP, of which 2014 patients had POF. A total of 10 early prediction indicators were extracted. The mean and 95% CI lower limit of each predictive indicator were greater than 1.0. Albumin had the largest diagnostic odds ratio, followed by high-density lipoprotein-cholesterol (HDL-C), Ranson Score, beside index for severity in acute pancreatitis Score, acute physiology and chronic health evaluation II, C-reactive protein (CRP), Interleukin 6 (IL-6), Interleukin 8 (IL-8), Systemic Inflammatory Response Syndrome (SIRS) and blood urea nitrogen.

CONCLUSIONS

Albumin, high-density lipoprotein-cholesterol, Ranson Score, and beside index for severity in acute pancreatitis Score are effective in the early prediction of POF in patients with AP, which can provide evidence for developing effective prediction systems. However, due to the limitations of the extraction method of predictive indicators in this study, some effective indicators may not be included in this meta-analysis.

Updated Review of Radiologic Imaging and Intervention for Acute Pancreatitis and Its Complications

This is a current update on radiologic imaging and intervention of acute pancreatitis and its complications. In this review, we define the various complications of acute pancreatitis, discuss the imaging findings, as well as the timing of when these complications occur. The various classification and scoring systems of acute pancreatitis are summarized. Advantages and disadvantages of the 3 primary radiologic imaging modalities are compared. We then discuss radiologic interventions for acute pancreatitis. These include diagnostic aspiration as well as percutaneous catheter drainage of fluid collections, abscesses, pseudocysts, and necrosis. Recommendations for when these interventions should be considered, as well as situations in which they are contraindicated are discussed. Fortunately, acute pancreatitis usually is mild; however, serious complications occur in 20%, and admission of patients to the intensive care unit (ICU) occurs in over 10%. In this paper, we will focus on the imaging and interventional radiologic aspects for the serious complications and patients admitted to the ICU.

Dynamic nomogram for predicting infected pancreatic necrosis in female patients of childbearing age with hypertriglyceridemia-induced acute pancreatitis

BACKGROUND

Hypertriglyceridemia is a common cause of acute pancreatitis. Pregnant women are at risk of developing hypertriglyceridemia-induced acute pancreatitis (HTG-AP); however, whether pregnancy increases the risk of infected pancreatic necrosis (IPN) is unknown.

AIM

We aimed to assess the association between pregnancy and IPN.

METHODS

This 10-year retrospective cohort study was conducted at Jinling Hospital. Adult female patients of childbearing age with HTG-AP between January 2013 and September 2022 were screened. Logistic regression analyses were performed to assess the risk factors for IPN. Patients admitted within 7 days were assigned to the training and validation sets to develop a dynamic nomogram for IPN prediction.

RESULTS

489 patients were included, and 144 developed IPN. Logistic regression analyses revealed pregnancy (OR: 2.578 95% CI: 1.474-4.510) as an independent risk factor for IPN. Gestation weeks, ARDS, albumin level, and serum creatinine level were selected as the predictors of the dynamic nomogram for IPN prediction, with good discrimination in the training set (AUC 0.867 95% CI: 0.794-0.940) and validation set (AUC 0.957 95% CI: 0.885-1.000).

CONCLUSION

Pregnancy increases the risk of IPN in adult patients of childbearing age with HTG-AP, and the dynamic nomogram may help risk stratification for IPN.

Prediction of survival in patients with infected pancreatic necrosis: a prospective cohort study

BACKGROUND

Infected pancreatic necrosis (IPN) is a severe complication of acute pancreatitis, with mortality rates ranging from 15 to 35%. However, limited studies exist to predict the survival of IPN patients and nomogram has never been built. This study aimed to identify predictors of mortality, estimate conditional survival (CS), and develop a CS nomogram and logistic regression nomogram for real-time prediction of survival in IPN patients.

METHODS

A prospective cohort study was performed in 335 IPN patients consecutively enrolled at a large Chinese tertiary hospital from January 2011 to December 2022. The random survival forest method was first employed to identify the most significant predictors and capture clinically relevant nonlinear threshold effects. Instantaneous death risk and CS was first utilized to reveal the dynamic changes in the survival of IPN patients. A Cox model-based nomogram incorporating CS and a logistic regression-based nomogram were first developed and internally validated with a bootstrap method.

RESULTS

The random survival forest model identified seven foremost predictors of mortality, including the number of organ failures, duration of organ failure, age, time from onset to first intervention, hemorrhage, bloodstream infection, and severity classification. Duration of organ failure and time from onset to first intervention showed distinct thresholds and nonlinear relationships with mortality. Instantaneous death risk reduced progressively within the first 30 days, and CS analysis indicated gradual improvement in real-time survival since diagnosis, with 90-day survival rates gradually increasing from 0.778 to 0.838, 0.881, 0.974, and 0.992 after surviving 15, 30, 45, 60, and 75 days, respectively. After further variables selection using step regression, five predictors (age, number of organ failures, hemorrhage, time from onset to first intervention, and bloodstream infection) were utilized to construct both the CS nomogram and logistic regression nomogram, both of which demonstrated excellent performance with 1000 bootstrap.

CONCLUSION

Number of organ failures, duration of organ failure, age, time from onset to first intervention, hemorrhage, bloodstream infection, and severity classification were the most crucial predictors of mortality of IPN patients. The CS nomogram and logistic regression nomogram constructed by these predictors could help clinicians to predict real-time survival and optimize clinical decisions.

Early encapsulation of peripancreatic fluid/necrosis collections on imaging (CECT) in acute pancreatitis: influential factors and clinical significance for prognosis

BACKGROUND

To identify the factors influencing the early encapsulation of peripancreatic fluid/necrosis collections via contrast-enhanced computed tomography (CECT) and to determine the clinical significance of early encapsulation for determining the prognosis of acute pancreatitis (AP) patients.

METHODS

AP patients who underwent CECT between 4 and 10 days after disease onset were enrolled in this study. Early encapsulation was defined as a continuous enhancing wall around peripancreatic fluid/necrosis collections on CECT. Univariate and multivariate logistic regression analyses were performed to assess the associations between the variables and early encapsulation. Clinical outcomes were compared between the non-encapsulation and early encapsulation groups with 1:1 propensity score matching.

RESULTS

A total of 289 AP patients were enrolled. The intra-observer and inter-observer agreement were considered good (kappa statistics of 0.729 and 0.614, respectively) for identifying early encapsulation on CECT. The ratio of encapsulation increased with time, with a ratio of 12.5% on day 5 to 48.7% on day 9. Multivariate logistic regression analysis revealed that the longer time from onset to CECT examination (OR 1.55, 95% CI 1.23-1.97), high alanine aminotransferase level (OR 0.98, 95% CI 0.97-0.99), and high APACHE II score (OR 0.89, 95% CI 0.81-0.98) were found to be independent factors associated with delayed encapsulation. The incidence of persistent organ failure was significantly lower in the early encapsulation group after matching (22.4% vs 6.1%, p = 0.043). However, there was no difference in the incidence of infected pancreatic necrosis, surgical intervention, or in-hospital mortality.

CONCLUSIONS

AP patients without early encapsulation of peripancreatic fluid/necrosis collections have a greater risk of persistent organ failure. In addition to longer time, the high APACHE II score and elevated alanine aminotransferase level are factors associated with delayed encapsulation.

Chaiqin chengqi decoction alleviates acute pancreatitis by targeting gasdermin D-mediated pyroptosis

ETHNOPHARMACOLOGICAL RELEVANCE

Acute pancreatitis (AP) is an acute inflammatory condition of pancreas with high morbidity and mortality, which has no effective medical treatment. Chaiqin chengqi decoction (CQCQD) has been clinically used for AP for many years in China. However, the underlying mechanisms are still unknown.

AIM OF THE STUDY

To investigate the mechanism of CQCQD on gasdermin D (GSDMD) -mediated pyroptosis in AP.

MATERIALS AND METHODS

In this study, network pharmacology was used to screen the potential mechanism of CQCQD protecting against AP and then we focused to investigate the mechanism of CQCQD on GSDMD mediated pyroptosis. Mouse models of AP were conducted by caerulein and L-arginine. In order to clarify the mechanism of CQCQD, two kinds of GSDMD gene knockout mice (Gsdmd-/- and Pdx1creGsdmdfl/fl) were applied. And the potential interaction between the main components of CQCQD and GSDMD was explored by molecular docking.

RESULTS

In the caerulein-induced AP model, CQCQD ameliorated pancreatic pathological injury, attenuated systemic inflammation and serum enzymatic levers. Moreover, network pharmacology analysis showed GSDMD mediated pyroptosis was one of the core targets of CQCQD protecting against AP. Additionally, CQCQD appreciably decreased the levels of pyroptosis-related proteins N-terminal GSDMD, nucleotide-binding oligomerization domain-like receptor family pyrin domain containing 3, and cleaved Caspase-1. Furthermore, the protective effect of CQCQD was neutralized in Gsdmd-/- and Pdx1creGsdmdfl/fl mice in caerulein-induced AP. In addition, we found that CQCQD protects pancreatic tissue from damage and pancreatitis-associated lung injury in the L-arginine-induced mouse model. Moreover, all of the main components of CQCQD possessed binding activity with GSDMD by molecular docking. Seventeen components bound with the human GSDMD Cys191 successfully, which is important for GSDMD pore formation. Among the components, rhein possessed the highest binding activity.

CONCLUSION

CQCQD could reduce pancreatic necrosis and inflammatory response via inhibiting GSDMD-mediated pyroptosis in acinar cells of AP. Rhein may be the key active ingredient of CQCQD in suppressing pyroptosis.

Ferritin and Ferritin-to-Hemoglobin Ratio as Promising Prognostic Biomarkers of Severity in Acute Pancreatitis-A Cohort Study

BACKGROUND

Acute pancreatitis is an inflammation of the pancreas with variable outcomes depending on its severity. Multiple systems of prediction have been proposed, each with variable specificity and sensitivity and with uneven clinical use. Ferritin is a versatile protein associated with various acute and chronic conditions.

AIMS

In our study, we aimed to assess the association of serum ferritin and the ferritin-to-hemoglobin ratio (FHR) with the severity of acute pancreatitis.

METHODS

A retrospective study was conducted in our hospital from January 2020 to September 2022 and included 116 patients with acute pancreatitis (graded according to the revised Atlanta classification). Serum ferritin and FHR were determined next to established laboratory parameters in the first 24 h following admission (hematological parameters, amylase, lipase, C-reactive protein, D-dimers, lactate dehydrogenase). We performed a receiver operating characteristic curve analysis for potential predictors. Also, we made correlations and conducted univariate and multivariate analyses for all potential severity biomarkers.

RESULTS

The median values of serum ferritin and FHR differed significantly between patients with severe acute pancreatitis and mild cases (serum ferritin: 352.40 vs. 197.35 ng/mL, p = 0.011; FHR: 23.73 vs. 13.74, p = 0.002) and between patients with organ failure and those without organ failure (serum ferritin: 613.45 vs. 279.65 ng/mL, p = 0.000; FHR: 48.12 vs. 18.64, p = 0.000). The medians of the serum ferritin and FHR levels were significantly higher in non-survivors compared with survivors (serum ferritin: 717.71 vs. 305.67 ng/mL, p = 0.013; FHR: 52.73 vs. 19.58, p = 0.016). Serum ferritin and FHR were good predictors for organ failure and mortality, next to D-dimers and procalcitonin (AUC > 0.753 for organ failure and AUC > 0.794 for mortality). In univariate regression analysis, serum ferritin and FHR were independent variables for moderate-severe forms of acute pancreatitis. Still, adjusting the multivariate analysis, only FHR remained a significant predictor. The cut-offs for serum ferritin and FHR for predicting organ failure were 437.81 ng/mL (sensitivity, 71%; specificity, 75%) and 45.63 (sensitivity, 61%; specificity, 88%), and those for mortality during hospitalization were 516 ng/mL (sensitivity, 83%; specificity, 74%) and 51.58 (sensitivity, 66%; specificity, 86%).

CONCLUSIONS

Serum ferritin and the ferritin-to-hemoglobin ratio stood out in this study as valuable and accessible predictors of disease severity in the early assessment of acute pancreatitis, next to established severity serum markers (CRP, fibrinogen, D-dimers).

Identification of novel biomarkers based on lipid metabolism-related molecular subtypes for moderately severe and severe acute pancreatitis

BACKGROUND

Acute pancreatitis (AP) is an unpredictable and potentially fatal disorder. A derailed or unbalanced immune response may be the root of the disease's severe course. Disorders of lipid metabolism are highly correlated with the occurrence and severity of AP. We aimed to characterize the contribution and immunological characteristics of lipid metabolism-related genes (LMRGs) in non-mild acute pancreatitis (NMAP) and identify a robust subtype and biomarker for NMAP.

METHODS

The expression mode of LMRGs and immune characteristics in NMAP were examined. Then LMRG-derived subtypes were identified using consensus clustering. The weighted gene co-expression network analysis (WGCNA) was utilized to determine hub genes and perform functional enrichment analyses. Multiple machine learning methods were used to build the diagnostic model for NMAP patients. To validate the predictive effectiveness, nomograms, receiver operating characteristic (ROC), calibration, and decision curve analysis (DCA) were used. Using gene set variation analysis (GSVA) and single-cell analysis to study the biological roles of model genes.

RESULTS

Dysregulated LMRGs and immunological responses were identified between NMAP and normal individuals. NMAP individuals were divided into two LMRG-related subtypes with significant differences in biological function. The cluster-specific genes are primarily engaged in the regulation of defense response, T cell activation, and positive regulation of cytokine production. Moreover, we constructed a two-gene prediction model with good performance. The expression of CARD16 and MSGT1 was significantly increased in NMAP samples and positively correlated with neutrophil and mast cell infiltration. GSVA results showed that they are mainly upregulated in the T cell receptor complex, immunoglobulin complex circulating, and some immune-related routes. Single-cell analysis indicated that CARD16 was mainly distributed in mixed immune cells and macrophages, and MGST1 was mainly distributed in exocrine glandular cells.

CONCLUSIONS

This study presents a novel approach to categorizing NMAP into different clusters based on LMRGs and developing a reliable two-gene biomarker for NMAP.