Circulating endothelial mediators in human pancreatitis-associated lung injury

Imbalance in the vWF - ADAMTS13 axis exists early in acute pancreatitis and predicts persistent organ failure and pancreatic necrosis-a prospective study

BACKGROUND

The pathophysiology of Acute Pancreatitis (AP) may be complicated by endothelial activation. von Willebrand Factor (vWF)- ADAMTS13 axis is a marker of endothelial activation. The study aimed to investigate the axis in AP, comparing it in patients with and without persistent organ failure (OF), with and without pancreatic necrosis, and correlating it with the standard severity scores (CRP, APACHE II, BISAP, SOFA, and qSOFA) METHODS: vWF-Antigen (vWF:Ag), vWF-Collagen-Binding-Assay (vWF:CBA), and ADAMTS13 activity (ADAMTS13:act) levels were measured within 5 days of symptom onset in consecutive patients (n = 98), who were admitted with a first episode of AP (Dec 2021-May 2023).

RESULTS

Of the 98 patients admitted with AP, 78(79.6 %) had no or transient OF; 20(20.4 %) had persistent OF. Age was comparable (43.73 ± 15.36 vs 38.65 ± 13.69) [mean ± SD](years), and males were predominant in both groups (70.5 % vs 80 %). Patientswith persistent OF had higher vWF:CBA(%)[323(279-486.5) vs 199.5(159.1-295.75)] and lower ADAMTS13:act(%)[35.4(23.8-56.85) vs 56.35(44.1-71.9)][median (25th - 75th percentile)](P = 0.001) than those with no or transient OF. Patients with pancreatic necrosis (n = 19) had lower ADAMTS13:act(%)[42.79 ± 18.69] than those without pancreatic necrosis (n = 18) [62.49 ± 22.64] (P < 0.01). ADAMTS13:act had a negative correlation(r = -0.2), whereas vWF:Ag and vWF:CBA had a positive correlation (r = 0.2) with the standard severity scores (P < 0.05). ADAMTS13:act could predict pancreatic necrosis [AUROC-0.737, P < 0.05] and persistent OF [AUROC-0.746, P < 0.001], while vWF:CBA could predict persistent OF [AUROC- 0.73, P < 0.001].

CONCLUSION

vWF-ADAMTS13 axis helps to predict severe disease and is associated with poor outcomes in acute pancreatitis.

Soluble mannose receptor CD206 and von Willebrand factor are early biomarkers to identify patients at risk for severe or necrotizing acute pancreatitis

Background

In acute pancreatitis (AP), microcirculatory dysfunction and leukocyte activation contribute to organ damage, inflammation, and mortality. Given the role of macrophage activation, monocyte recruitment, and microthrombus formation in the early pathogenesis of AP, we examined the macrophage activation marker soluble mannose receptor (sCD206) and the endothelial function marker von Willebrand factor (vWF) in patients admitted for AP.

Methods

In an exploratory analysis, serum sCD206 and plasma vWF were prospectively analyzed on day 1 and day 3 in 81 patients with AP admitted to the hospital. In addition, blood samples from 59 patients with early AP admitted to the intensive care unit and symptom onset < 24 h were retrospectively analyzed. Patients were dichotomized as per study protocol into two groups: (i) “non-severe edematous AP” including patients with mild AP without organ failure and patients with transient organ failure that resolves within 48 h and (ii) “severe/necrotizing AP” including patients with severe AP and persistent organ failure > 48 h and/or patients with local complications.

Results

In the prospective cohort, 17% developed severe/necrotizing pancreatitis compared with 56% in the ICU cohort. Serum concentrations of sCD206 on admission were higher in patients with severe/necrotizing AP than in patients with non-severe edematous AP (prospective: 1.57 vs. 0.66 mg/l, P = 0.005; ICU: 1.76 vs. 1.25 mg/l, P = 0.006), whereas other inflammatory markers (leukocytes, C-reactive protein, procalcitonin) and disease severity (SOFA, SAPS II, APACHE II) did not show significant differences. Patients with severe/necrotizing AP had a greater increase in sCD206 than patients with non-severe edematous AP at day 3 in the prospective cohort. In contrast to routine coagulation parameters, vWF antigen levels were elevated on admission (prospective cohort: 375 vs. 257%, P = 0.02; ICU cohort: 240 vs. 184%, P = 0.03). When used as continuous variables, sCD206 and VWF antigen remained predictors of severe/necrotizing AP after adjustment for etiology and age in both cohorts.

Conclusions

sCD206 identifies patients at risk of severe AP at earlier timepoints than routine markers of inflammation and coagulation. Prospective studies are needed to investigate whether incorporating early or repeated measurements into the existing scoring system will better identify patients at increased risk for complications of AP.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40560-022-00619-2.

Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study

Background

Multiple organ failure (MOF) may lead to an increased mortality rate of moderately severe (MSAP) or severe acute pancreatitis (SAP). This study is aimed to use machine learning to predict the risk of MOF in the course of disease.

Methods

Clinical and laboratory features with significant differences between patients with and without MOF were screened out by univariate analysis. Prediction models were developed for selected features through six machine learning methods. The models were internally validated with a five-fold cross-validation, and a series of optimal feature subsets were generated in corresponding models. A test set was used to evaluate the predictive performance of the six models.

Results

305 (68%) of 455 patients with MSAP or SAP developed MOF. Eighteen features with significant differences between the group with MOF and without it in the training and validation set were used for modeling. Interleukin-6 levels, creatinine levels, and the kinetic time were the three most important features in the optimal feature subsets selected by K-fold cross-validation. The adaptive boosting algorithm (AdaBoost) showed the best predictive performance with the highest AUC value (0.826; 95% confidence interval: 0.740 to 0.888). The sensitivity of AdaBoost (80.49%) and specificity of logistic regression analysis (93.33%) were the best scores among the six models in the test set.

Conclusions

A predictive model of MOF complicated by MSAP or SAP was successfully developed based on machine learning. The predictive performance was evaluated by a test set, for which AdaBoost showed a satisfactory predictive performance. The study is registered with the China Clinical Trial Registry (Identifier: ChiCTR1800016079).

[Inflammatory diseases of the pancreas: what new do we know about the mechanisms of their development in the 21st century?]

Inflammatory diseases of the pancreas can range from acute to acute recurrent and chronic pancreatitis. With the improvement of laboratory diagnostics in the 21st century, the mechanisms of the pro-inflammatory and anti-inflammatory role of tight junctions, in particular the transmembrane proteins occludin, claudine and JAMs, cytoplasmic Zo-proteins, and adherens junctions, in particular -catenin, -catenin, E-cadherin, selectins and ICAMs in the pathogenesis of acute and chronic pancreatitis have become more clear. The study of genetic factors in the development of acute and chronic pancreatitis showed the role of mutations in the genes SPINK1 N34S, PRSS1, CEL-HYB in the progression of the disease.

A Rare Case of Acquired Thrombotic Thrombocytopenic Purpura Triggered by Acute Pancreatitis

Acquired thrombotic thrombocytopenic purpura (TTP) is a rare thrombotic microangiopathy with varied etiology and manifestations. It is uncommon for acute pancreatitis to trigger TTP. A 59-year-old man hospitalized with acute pancreatitis developed fever, acute kidney injury, thrombocytopenia, and microangiopathic hemolytic anemia (MAHA) on his second day in the hospital. Based on clinical suspicion and a high PLASMIC score indicating a severe deficiency in ADAMTS13 (a disintegrin-like and metalloprotease with thrombospondin type 1 motif no. 13) activity, a presumptive diagnosis of TTP was made. He was treated with plasmapheresis with improvement in his hemoglobin and platelet count. Severely deficient ADAMTS13 activity causing accumulation of large von Willebrand factor (VWF) multimers and subsequent formation of platelet rich microthrombi are thought to be the mechanisms of development of TTP. Proinflammatory mediators released during the systemic inflammatory response seen in acute pancreatitis can promote VWF activity and inhibit ADAMTS13 activity. Diffuse endothelial injury as a result of the inhibition of vascular endothelial growth factor (VEGF)-mediated endothelial protection as well as production of excessive reactive oxygen species during an episode of acute pancreatitis also contributes to the pathogenesis of TTP. Thrombocytopenia and MAHA in a systemic inflammatory state should raise the suspicion for TTP. The PLASMIC score can further aid in the diagnosis and early initiation of plasmapheresis, which is key to the outcome.

Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis

BACKGROUND

Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and severe acute pancreatitis (SAP). This study aimed to develop and assess three machine-learning models to predict MOF.

METHODS

Patients with MSAP and SAP who were admitted from July 2014 to June 2017 were included. Firstly, parameters with significant differences between patients with MOF and without MOF were screened out by univariate analysis. Then, support vector machine (SVM), logistic regression analysis (LRA) and artificial neural networks (ANN) models were constructed based on these factors, and five-fold cross-validation was used to train each model.

RESULTS

A total of 263 patients were enrolled. Univariate analysis screened out sixteen parameters referring to blood volume, inflammatory, coagulation and renal function to construct machine-learning models. The predictive efficiency of the optimal combinations of features by SVM, LRA, and ANN was almost equal (AUC = 0.840, 0.832, and 0.834, respectively), as well as the Acute Physiology and Chronic Health Evaluation II score (AUC = 0.814, P > 0.05). The common important predictive factors were HCT, K-time, IL-6 and creatinine in three models.

CONCLUSIONS

Three machine-learning models can be efficient prognostic tools for predicting MOF in MSAP and SAP. ANN is recommended, which only needs four common parameters.

Prediction and evaluation of the severity of acute respiratory distress syndrome following severe acute pancreatitis using an artificial neural network algorithm model

BACKGROUND

To predict the risk and severity of acute respiratory distress syndrome (ARDS) following severe acute pancreatitis (SAP) by artificial neural networks (ANNs) model.

METHODS

ANNs model was constructed by clinical data of 217 SAP patients. The model was first trained on 152 randomly chosen patients, validated and tested on the 33 patients and 32 patients respectively. Statistical analysis was used to assess the value of it.

RESULTS

The training, validation, and test set were not significantly different for 13 variables. After training, ANNs retained excellent pattern recognition ability. When ANNs model was applied to the test set, it revealed a sensitivity of 87.5%, and an accuracy of 84.43%. Significant differences were found between ANNs model and logistic regression model. When ANNs model is used to identify ARDS, the area under ROC was 0.859 + 0.048. Meanwhile, pancreatic necrosis rate, lactic dehydrogenase and oxyhemoglobin saturation were the most important independent variables. Compared with the Berlin definition, the ANN model shows a good accuracy of 73.1% for total severity of ARDS.

CONCLUSION

ANNs model is a valuable tool in dealing with risk prediction of ARDS following SAP. In addition, it can extract informative risk factors of ARDS via the ANNs model.

Adhesion molecules and pancreatitis

Acute and chronic pancreatitises are gastrointestinal inflammatory diseases, the incidence of which is increasing worldwide. Most (~ 80%) acute pancreatitis (AP) patients have mild disease, and about 20% have severe disease, which causes multiple organ failure and has a high mortality rate. Chronic pancreatitis (CP) is characterized by chronic inflammation and destruction of normal pancreatic parenchyma, which leads to loss of exocrine and endocrine tissues. Patients with CP also have a higher incidence of pancreatic ductal adenocarcinoma. Although a number of factors are associated with the development and progression of AP and CP, the underlying mechanism is unclear. Adhesion molecules play important roles in cell migration, proliferation, and signal transduction, as well as in development and tissue repair. Loosening of cell-cell adhesion between pancreatic acinar cells and/or endothelial cells increases solute permeability, resulting in interstitial edema, which promotes inflammatory cell migration and disrupts tissue structure. Oxidative stress, which is one of the important pathogenesis of pancreatitis, leads to upregulation of adhesion molecules. Soluble adhesion molecules are reportedly involved in AP. In this review, we focus on the roles of tight junctions (occludin, tricellulin, claudin, junctional adhesion molecule, and zonula occludin), adherens junctions (E-cadherin and p120-, α-, and β-catenin), and other adhesion molecules (selectin and intercellular adhesion molecules) in the progression of AP and CP. Maintaining the normal function of adhesion molecules and preventing their abnormal activation maintain the structure of the pancreas and prevent the development of pancreatitis.

Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis

OBJECTIVE

The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associated with acute lung injury (ALI) by artificial neural networks (ANNs) model.

METHODS

The ANNs and logistic regression model were constructed using clinical and laboratory data of 217 SAP patients. The models were first trained on 152 randomly chosen patients, validated and tested on the 33 patients and 32 patients respectively. Statistical indices were used to evaluate the value of the forecast in two models.

RESULTS

The training set, validation set and test set were not significantly different for any of the 13 variables. After training, the back propagation network retained excellent pattern recognition ability. When the ANNs model was applied to the test set, it revealed a sensitivity of 87.5%, specificity of 83.3%. The accuracy was 84.43%. Significant differences could be found between ANNs model and logistic regression model in these parameter. When ANNs model was used to identify ALI, the area under receiver operating characteristic curve was 0.859 ± 0.048, which demonstrated the better overall properties than logistic regression modeling (AUC = 0.701 + 0.041) (95% CI: 0.664-0.857). Meanwhile, pancreatic necrosis rate, lactic dehydrogenase and oxyhemoglobin saturation were the important factors among all thirteen independent variable for ALI.

CONCLUSION

The ANNs model was a valuable tool in dealing with the clinical risk prediction problem of ALI following to SAP. In addition, our approach can extract informative risk factors of ALI via the ANNs model.

Hypothermia-Related Acute Pancreatitis

Acute pancreatitis (AP) is an inflammatory disease presenting from mild localized inflammation to severe infected necrotic pancreatic tissue. In the literature, there are a few cases of hypothermia-induced AP. However, the association between hypothermia and AP is still a myth. Generally, mortality from acute pancreatitis is nearly 3-6%. Here, we present a 40-year-old chronic alcoholic female who presented with acute pancreatitis induced by transient hypothermia. A 40-year-old chronic alcoholic female was hypothermic at 81°F on arrival which was improved to 91.7°F with warming blanket and then around 97°F in 8 h. Laboratory tests including complete blood count, lipid panel, and comprehensive metabolic panels were within the normal limit. Serum alcohol level was 0.01, amylase 498, lipase 1,200, ammonia 26, serum carboxyhemoglobin level 2.4, and β-HCG was negative. The entire sepsis workup was negative. During rewarming period, she had one episode of witnessed generalized tonic-clonic seizure. It was followed by transient hypotension. Fluid challenge was successful with 2 L of normal saline. Sonogram (abdomen) showed fatty liver and trace ascites. CAT scan (abdomen and pelvis) showed evidence of acute pancreatitis without necrosis, peripancreatic abscess, pancreatic mass, or radiopaque gallstones. The patient was managed medically and later discharged from the hospital on the 4th day as she tolerated a normal low-fat diet. In our patient, transient hypothermia from chronic alcohol abuse and her social circumstances might predispose to microcirculatory disturbance resulting in acute pancreatitis. Early and aggressive fluid resuscitation prevents complications.

E and P Selectins as Potential Markers in the Assessment of the Severity of Acute Pancreatitis

OBJECTIVES

Acute pancreatitis (AP) is commonly associated with the release of adhesion molecules such as E and P selectins. We designed the present study to evaluate the role of selectins as potential markers that could reflect the severity of the disease.

METHODS

One hundred fifty patients with AP constituted the patient group, whereas 70 healthy volunteers established the control group. In both groups, blood samples were taken for measurements of E selectin, P selectin, caspase-cleaved cytokeratin 18, and total soluble cytokeratin 18 levels on admission and days 1, 2, 4, and 6.

RESULTS

Values of E and P selectins on admission were both elevated compared with control subjects (P < 0.01). The nonsurvivors had higher values of E selectin (P < 0.04) and P selectin (P < 0.03) on admission. Levels of E and P selectin showed positive correlation with the length of stay (P < 0.05). E selectin on admission yielded a sensitivity of 75% and 78% specificity, whereas P selectin had a sensitivity of 67% and 91% specificity.

CONCLUSIONS

Selectin values in the early course of AP may play a role as indicators of overall prognosis, which may help physicians in better understanding the pathophysiology of a benign disease that may have serious and detrimental complications.

The Interplay between Inflammation, Coagulation and Endothelial Injury in the Early Phase of Acute Pancreatitis: Clinical Implications

Acute pancreatitis (AP) is an inflammatory disease with varied severity, ranging from mild local inflammation to severe systemic involvement resulting in substantial mortality. Early pathologic events in AP, both local and systemic, are associated with vascular derangements, including endothelial activation and injury, dysregulation of vasomotor tone, increased vascular permeability, increased leukocyte migration to tissues, and activation of coagulation. The purpose of the review was to summarize current evidence regarding the interplay between inflammation, coagulation and endothelial dysfunction in the early phase of AP. Practical aspects were emphasized: (1) we summarized available data on diagnostic usefulness of the markers of endothelial dysfunction and activated coagulation in early prediction of severe AP; (2) we reviewed in detail the results of experimental studies and clinical trials targeting coagulation-inflammation interactions in severe AP. Among laboratory tests, d-dimer and angiopoietin-2 measurements seem the most useful in early prediction of severe AP. Although most clinical trials evaluating anticoagulants in treatment of severe AP did not show benefits, they also did not show significantly increased bleeding risk. Promising results of human trials were published for low molecular weight heparin treatment. Several anticoagulants that proved beneficial in animal experiments are thus worth testing in patients.

Serum Soluble Fms-Like Tyrosine Kinase 1 (sFlt-1) Predicts the Severity of Acute Pancreatitis

Organ failure is the most important determinant of the severity of acute pancreatitis (AP). Soluble fms-like tyrosine kinase 1 (sFlt-1) is positively associated with organ failure in sepsis. Our aim was to evaluate the diagnostic utility of automated sFlt-1 measurements for early prediction of AP severity. Adult patients (66) with AP were recruited, including 46 with mild (MAP), 15 with moderately-severe (MSAP) and 5 with severe AP (SAP). Serum and urine samples were collected twice. Serum sFlt-1 was measured with automated electrochemiluminescence immunoassay. Serum concentrations of sFlt-1 were significantly higher in patients with MSAP and SAP as compared to MAP. SAP patients had the highest concentrations. At 24 and 48 h, sFlt-1 positively correlated with inflammatory markers (leukocyte count, C-reactive protein), kidney function (creatinine, urea, cystatin C, serum and urine neutrophil gelatinase-associated lipocalin, urine albumin/creatinine ratio), D-dimer and angiopoietin-2. sFlt-1 positively correlated with the bedside index of severity in AP (BISAP) score and the duration of hospital stay. Serum sFlt-1 above 139 pg/mL predicted more severe AP (MSAP + SAP). In the early phase of AP, sFlt-1 is positively associated with the severity of AP and predicts organ failure, in particular kidney failure. Serum sFlt-1 may be a practical way to improve early assessment of AP severity.

Decreased MIZ1 Expression in Severe Experimental Acute Pancreatitis: A Rat Study

AIM

We tested our hypothesis that Myc-interacting zinc finger protein 1 (MIZ1), a cell cycle regulator, suppressed inflammation, and therefore, represented a useful prognostic marker in patients with acute necrotizing pancreatitis (ANP) complicated by acute lung injury.

METHODS

Sprague-Dawley rats were randomly divided into control and ANP groups at different time points. The MIZ1 protein expression was measured by Western blot and ELISA, and confirmed using immunohistochemistry. The severity of pancreatic and lung injury was evaluated by the injury score and wet/dry weight ratio. The severity of disease was evaluated by serum C-reactive protein (CRP). The MPO activity of lung tissue amylase levels and the degree of inflammation were evaluated by serum tumor necrosis factor (TNF)-α and interleukin (IL)-6 expression. The risk due to multiple factors was investigated by relationship analysis.

RESULTS

The serum levels of CRP, amylase, TNF-α, and IL-6 were gradually increased at 6, 24, and 48 h in ANP when compared with the control rats. The MIZ1 expressions were greatly decreased in ANP rats, especially at 24 h. Statistical analysis showed that there were time-dependent differences in ANP rats when compared with control rats (6 vs. 24 or 48 h, P < 0.01). MIZ1 showed close negative correlation with the degree of pancreatic and lung injury, serum amylase, CRP, TNF-α, and IL-6 (P < 0.01, respectively).

CONCLUSION

The decreasing MIZ1 expression was closely correlated with inflammatory response, and development of ANP. Decreasing MIZ1 levels indicate a risk for ANP.