Isolated peripancreatic necrosis (PPN) is associated with better clinical outcomes compared with combined pancreatic and peripancreatic involvement (CPN)- a systematic review and meta-analysis

Incidence and risk factors for deep vein thrombosis (DVT) and pulmonary embolism (PE) in acute necrotizing pancreatitis (ANP) - A single center experience

INTRODUCTION

Inflammation-induced dysregulation of the coagulation cascade and vascular stasis in hospitalized patients with acute necrotizing pancreatitis (ANP) serve as a milieu for venous thromboembolism (VTE). Deep vein thrombosis (DVT) and pulmonary embolism (PE) are often underrecognized. We evaluated the incidence and risk factors for VTE in a cohort of patients with ANP.

METHODS

All adult patients with ANP at our center between 2009 and 2022 were followed for three months after index hospitalization and categorized into cases and controls based on development of VTE. Demographic, clinical, and radiologic characteristics during admission were compared. A multivariable analysis was done to identify independent predictors for VTE. A p value of <0.05 was taken as significant.

RESULTS

Among 643 ANP patients, 512 [males-350, median age-52 years] were eligible for inclusion. VTE developed in 64 (12.5 %) patients - 28 DVT (5 %), 22 PE (4 %) and both in 14 (3 %) after a median 16 days from the diagnosis of ANP. Significant independent predictors for VTE on multivariable analysis were age ≥60 years (OR 1.91; 95 % CI 1.04-3.53), peri-pancreatic extent of necrosis (OR 7.61; 95 % CI 3.94-14.70), infected necrosis (OR 2.26; 95 % CI 1.13-4.50) and total length of stay ≥14 days (OR 4.08; 95 % CI 1.75-9.50).

CONCLUSIONS

The overall incidence of VTE in our cohort of patients with ANP was 12.5 %, which was usually diagnosed within one month of hospitalization. High-risk patients can be stratified based on clinical and imaging characteristics and may benefit from intensive DVT screening and prophylaxis during hospitalization and following discharge.

Infected pancreatic necrosis: outcomes and clinical predictors of mortality. A post hoc analysis of the MANCTRA-1 international study

The identification of high-risk patients in the early stages of infected pancreatic necrosis (IPN) is critical, because it could help the clinicians to adopt more effective management strategies. We conducted a post hoc analysis of the MANCTRA-1 international study to assess the association between clinical risk factors and mortality among adult patients with IPN. Univariable and multivariable logistic regression models were used to identify prognostic factors of mortality. We identified 247 consecutive patients with IPN hospitalised between January 2019 and December 2020. History of uncontrolled arterial hypertension (p = 0.032; 95% CI 1.135-15.882; aOR 4.245), qSOFA (p = 0.005; 95% CI 1.359-5.879; aOR 2.828), renal failure (p = 0.022; 95% CI 1.138-5.442; aOR 2.489), and haemodynamic failure (p = 0.018; 95% CI 1.184-5.978; aOR 2.661), were identified as independent predictors of mortality in IPN patients. Cholangitis (p = 0.003; 95% CI 1.598-9.930; aOR 3.983), abdominal compartment syndrome (p = 0.032; 95% CI 1.090-6.967; aOR 2.735), and gastrointestinal/intra-abdominal bleeding (p = 0.009; 95% CI 1.286-5.712; aOR 2.710) were independently associated with the risk of mortality. Upfront open surgical necrosectomy was strongly associated with the risk of mortality (p < 0.001; 95% CI 1.912-7.442; aOR 3.772), whereas endoscopic drainage of pancreatic necrosis (p = 0.018; 95% CI 0.138-0.834; aOR 0.339) and enteral nutrition (p = 0.003; 95% CI 0.143-0.716; aOR 0.320) were found as protective factors. Organ failure, acute cholangitis, and upfront open surgical necrosectomy were the most significant predictors of mortality. Our study confirmed that, even in a subgroup of particularly ill patients such as those with IPN, upfront open surgery should be avoided as much as possible. Study protocol registered in ClinicalTrials.Gov (I.D. Number NCT04747990).

Nomenclature of Pancreatic Fluid Collections following Acute Pancreatitis: Need to Further Revise the Atlanta Classification System!

A better understanding of the disease pathophysiology, improved imaging modalities, and the development of minimally invasive interventions led to the revision of the Atlanta classification and new terminologies for the pancreatic fluid collections (PFCs) occurring in acute pancreatitis. Peripancreatic necrosis (PPN) or extra-pancreatic necrosis (EPN) has been reported as a distinct morphological entity with a better outcome than combined pancreatic and peripancreatic necrosis as well as pancreatic parenchymal necrosis alone and slightly worse than acute interstitial pancreatitis. In this news and views, we discuss a study that compared the morphological features and outcomes of endoscopic drainage of walled off necrotic collections developing after EPN alone with those developing after PN with or without EPN.

Magnetic Resonance Imaging-Based Radiomics Models to Predict Early Extrapancreatic Necrosis in Acute Pancreatitis

OBJECTIVE

The aim of the study was to investigate radiomics models based on magnetic resonance imaging (MRI) for predicting early extrapancreatic necrosis (EXPN) in acute pancreatitis.

METHODS

Radiomics features were extracted from T2-weighted images of extrapancreatic collections and late arterial-phase images of the pancreatic parenchyma for 135 enrolled patients (94 in the primary cohort, including 47 EXPN patients and 41 in the validation cohort, including 20 EXPN patients). The optimal features after dimension reduction were used for radiomics modeling through a support vector machine. A clinical model, the MR severity index score, and extrapancreatic inflammation on MRI were evaluated.

RESULTS

Twelve optimal features from the extrapancreatic collection images and 10 from the pancreatic parenchyma images were selected for modeling. The pancreatic parenchyma-based and extrapancreatic collection-based radiomics models showed good predictive accuracy in both the training and validation cohorts. The areas under the curve of the extrapancreatic collection-based radiomics model (0.969 and 0.976) were consistent with those of the pancreatic parenchyma-based model (0.931 and 0.921) for both cohorts and better than those of the clinical model and imaging scores for both cohorts.

CONCLUSIONS

The MRI-based radiomics models of both the extrapancreatic collections and the pancreatic parenchyma had excellent predictive performance for early EXPN.