To analyze the differences in Harmless Acute Pancreatitis Score (HAPS), serum Calcium/Calmodulin-dependent Protein Kinase II (CaMK II) expression, and prognosis among patients with acute pancreatitis (AP) of varying disease severities.

A retrospective analysis was conducted on the clinical data of 103 patients with acute pancreatitis (AP) treated at our hospital between April 2022 and April 2024. According to the revised Atlanta classification and the International Consensus on Definitions (2012), patients were divided into Group A (59 cases, mild cases) and Group B (44 cases, severe cases). The HAPS score was calculated using relevant examination data obtained upon admission. Fasting venous blood samples (5 mL) were collected from all subjects on the morning of the second day after admission, and serum CaMK II expression levels were measured using a double-antibody sandwich method. Patients were followed up for three months from the date of admission to record local complications, systemic complications, and mortality. Receiver operating characteristic (ROC) curves were plotted to analyze the predictive value of HAPS scores and serum CaMK II levels for mild AP and patient prognosis.

HAPS scores and serum CaMK II levels were assessed at admission. Severe cases showed significantly higher HAPS and CaMK II levels vs mild (P<0.05). ROC analysis demonstrated combined detection (AUC=0.902) outperformed individual markers (HAPS=0.827; CaMK II=0.773) in predicting mild AP. Both biomarkers progressively increased with complication severity (local < systemic < death, P<0.05), showing predictive value (AUC>0.6) for prognosis.

HAPS scores and CaMK II expression levels in AP patients show a gradual increase with the severity of the disease, and both can serve as predictive indicators of disease severity and prognosis in AP patients. Moreover, combined detection of these indicators has a higher predictive efficiency than single-item detection.

Acute pancreatitis (AP) is an inflammatory disease that can represent a challenge for clinicians, in fact, the early determination of its severity in the first 72 h is crucial for prognosis, recognizing the etiology and carrying out risk stratification to determine a more specific therapy. No accurate early prognostic scores for disease severity have been published, so the severity of AP often cannot be properly defined in the first few hours of the disease. This initial phase represents a "no man's land", in which there is no certainty in the stratification of the damage, prognosis is difficult to establish, therapy must be started promptly, although there is still no effective medical therapy against pancreatic enzymatic activation. Therefore, it is very difficult at this stage to make the correct decisions to achieve the best outcome for the patient with AP. Literature search was carried out using the PubMed database by entering early management of acute pancreatitis [title] or therapy of acute pancreatitis [title] and selecting the most relevant articles for the diagnosis and therapy of acute pancreatitis in clinical practice. This document provides suggestions on managing the key clinical decisions for patients suffering from AP before disease severity is defined, to achieve the best outcomes for patients with AP.

Acute pancreatitis (AP) is a potentially life-threatening inflammatory disease of the pancreas, with clinical management determined by the severity of the disease. Diagnosis, severity prediction, and prognosis assessment of AP typically involve the use of imaging technologies, such as computed tomography, magnetic resonance imaging, and ultrasound, and scoring systems, including Ranson, Acute Physiology and Chronic Health Evaluation II, and Bedside Index for Severity in AP scores. Computed tomography is considered the gold standard imaging modality for AP due to its high sensitivity and specificity, while magnetic resonance imaging and ultrasound can provide additional information on biliary obstruction and vascular complications. Scoring systems utilize clinical and laboratory parameters to classify AP patients into mild, moderate, or severe categories, guiding treatment decisions, such as intensive care unit admission, early enteral feeding, and antibiotic use. Despite the central role of imaging technologies and scoring systems in AP management, these methods have limitations in terms of accuracy, reproducibility, practicality and economics. Recent advancements of artificial intelligence (AI) provide new opportunities to enhance their performance by analyzing vast amounts of clinical and imaging data. AI algorithms can analyze large amounts of clinical and imaging data, identify scoring system patterns, and predict the clinical course of disease. AI-based models have shown promising results in predicting the severity and mortality of AP, but further validation and standardization are required before widespread clinical application. In addition, understanding the correlation between these three technologies will aid in developing new methods that can accurately, sensitively, and specifically be used in the diagnosis, severity prediction, and prognosis assessment of AP through complementary advantages.

Acute pancreatitis (AP) is an inflammatory disease of the pancreas, which can progress to severe AP, with a high risk of death. It is one of the most complicated and clinically challenging of all disorders affecting the abdomen. The main causes of AP are gallstone migration and alcohol abuse. Other causes are uncommon, controversial and insufficiently explained. The disease is primarily characterized by inappropriate activation of trypsinogen, infiltration of inflammatory cells, and destruction of secretory cells. According to the revised Atlanta classification, severity of the disease is categorized into three levels: Mild, moderately severe and severe, depending upon organ failure and local as well as systemic complications. Various methods have been used for predicting the severity of AP and its outcome, such as clinical evaluation, imaging evaluation and testing of various biochemical markers. However, AP is a very complex disease and despite the fact that there are of several clinical, biochemical and imaging criteria for assessment of severity of AP, it is not an easy task to predict its subsequent course. Therefore, there are existing controversies regarding diagnostic and therapeutic modalities, their effectiveness and complications in the treatment of AP. The main reason being the fact, that the pathophysiologic mechanisms of AP have not been fully elucidated and need to be studied further. In this editorial article, we discuss the efficacy of the existing diagnostic and therapeutic modalities, complications and treatment failure in the management of AP.

Acute pancreatitis is a common disease in patients presenting to the emergency room in any hospital. The most common causes are alcohol ingestion and gallstone disease. Diagnosis is usually based on clinical findings and elevated serum amylase and lipase levels. Imaging is often not necessary but may be used to confirm the diagnosis or rule out any other pathology or to evaluate for any complications. The majority of patients will have a mild, self-limiting disease but others may develop a severe fulminant course with organ failure. These patients are at high risk of developing complications, morbidity or mortality. Treatment of acute pancreatitis includes supportive treatment with antibiotics, fluids, analgesics and early enteral feeding. Several scores have been developed to predict the course of pancreatitis and help make informed decisions, monitoring and timely intervention. The majority of them are complicated, require extensive and expensive interventions or require time. Harmless acute pancreatitis score (HAPS) is one such score that is easy to calculate and is done at the time of admission, bedside index of severity in acute pancreatitis (BISAP) is another one requiring more parameters. The parameters used to calculate it are easily available and can be done at a majority of healthcare facilities in developing countries. HAPS thus seems to be a good option in aiding doctors in assessing acute pancreatitis. It may be considered as a standard scoring for acute pancreatitis for early and effective management. We have tried to study and compare the superiority of HAPS over BISAP in predicting prognosis in acute pancreatitis.

Acute Pancreatitis is a common disease, diagnosed in about 3% of cases presenting with abdominal pain. Severe disease with multiple systemic complications develops in 10-20% of the cases which require intensive care in specialized centres. Harmless acute pancreatitis score is a simple and economical score predicting the non-severe course of disease within 30 minutes of admission. The aim of our study was to find the prevalence of harmless (harmless acute pancreatitis) among cases of acute pancreatitis in a tertiary care centre.

A descriptive cross-sectional study was conducted after obtaining the ethical approval (Reference no. 344/2076/77). The study was carried out from September 2019 to February 2020 taking 50 patients with the first attack of acute pancreatitis. Convenient sampling was done. Harmless acute pancreatitis score prediction of severe disease and final outcome as severe or non-severe was noted with predefined severity criteria. Data were entered in Microsoft Excel and Statistical Package for the Social Sciences and results represented in tables and charts. Point estimate at 95% was done and frequency and percentage were calculated.

Out of 50 patients with first attack of acute pancreatitis, using the harmless acute pancreatitis score, the prevalence of harmless acute pancreatitis was 22 (56%) (44.45-67.5 at 90% Confidence Interval).

The harmless acute pancreatitis score is an easy, less expensive, quick and promising early scoring system for prediction of non-severe courses of acute pancreatitis. The prevalence of harmless (harmless acute pancreatitis) among cases of acute pancreatitis was found to be similar to other studies.

Acute pancreatitis (AP) is a common surgical condition, with severe AP (SAP) potentially lethal. Many prognostic indices, including; acute physiology and chronic health evaluation II score (APACHE II), bedside index of severity in acute pancreatitis (BISAP), Glasgow score, harmless acute pancreatitis score (HAPS), Ranson's score, and sequential organ failure assessment (SOFA) evaluate AP severity and predict mortality.

To evaluate these indices' utility in predicting severity, intensive care unit (ICU) admission, and mortality.

A retrospective analysis of 653 patients with AP from July 2009 to September 2016 was performed. The demographic, clinical profile, and patient outcomes were collected. SAP was defined as per the revised Atlanta classification. Values for APACHE II score, BISAP, HAPS, and SOFA within 24 h of admission were retrospectively obtained based on laboratory results and patient evaluation recorded on a secure hospital-based online electronic platform. Data with < 10% missing data was imputed via mean substitution. Other patient information such as demographics, disease etiology, and patient outcomes were also derived from electronic medical records.

The mean age was 58.7 ± 17.5 years, with 58.7% males. Gallstones (n = 404, 61.9%), alcohol (n = 38, 5.8%), and hypertriglyceridemia (n = 19, 2.9%) were more common aetiologies. 81 (12.4%) patients developed SAP, 20 (3.1%) required ICU admission, and 12 (1.8%) deaths were attributed to SAP. Ranson's score and APACHE-II demonstrated the highest sensitivity in predicting SAP (92.6%, 80.2% respectively), ICU admission (100%), and mortality (100%). While SOFA and BISAP demonstrated lowest sensitivity in predicting SAP (13.6%, 24.7% respectively), ICU admission (40.0%, 25.0% respectively) and mortality (50.0%, 25.5% respectively). However, SOFA demonstrated the highest specificity in predicting SAP (99.7%), ICU admission (99.2%), and mortality (98.9%). SOFA demonstrated the highest positive predictive value, positive likelihood ratio, diagnostic odds ratio, and overall accuracy in predicting SAP, ICU admission, and mortality. SOFA and Ranson's score demonstrated the highest area under receiver-operator curves at 48 h in predicting SAP (0.966, 0.857 respectively), ICU admission (0.943, 0.946 respectively), and mortality (0.968, 0.917 respectively).

The SOFA and 48-h Ranson's scores accurately predict severity, ICU admission, and mortality in AP, with more favorable statistics for the SOFA score.