PROCalcitonin-based algorithm for antibiotic use in Acute Pancreatitis (PROCAP): study protocol for a randomised controlled trial

Dynamics of Serum Procalcitonin Can Predict Outcome in Patients of Infected Pancreatic Necrosis: A Prospective Analysis

BACKGROUND

Timely intervention can alter outcome in patients of infected pancreatic necrosis (IPN) but lacks adequate biomarker. Role of serum procalcitonin (PCT) in the management of IPN is understudied, and hence, this study was planned.

METHODOLOGY

All patients of acute pancreatitis with IPN without prior intervention were included. Baseline demographic, radiological and laboratory parameters were documented. PCT was measured at baseline, prior to intervention, and thereafter every 72 h. Patients were grouped into those having baseline PCT < 1.0 ng/mL and those with PCT ≥ 1.0 ng/mL and various outcome measures were compared.

RESULTS

Of the 242 patients screened, 103 cases (66 males; 64.1%) with IPN were grouped into 2: PCT < 1.0 ng/mL (n = 29) and PCT ≥ 1.0 ng/mL (n = 74). Patients with baseline PCT ≥ 1.0 ng/mL had significantly more severe disease scores. 16 out of 19 patients with rise in PCT on day-7 post-intervention expired. PCT ≥ 1.0 ng/mL group had higher need for ICU (p = 0.001) and mortality (p = 0.044). PCT > 2.25 ng/mL (aOR 22.56; p = 0.013) at baseline and failure in reduction of PCT levels to < 60% of baseline at day-7 post-intervention (aOR 53.76; p = 0.001) were significant mortality predictors.

CONCLUSION

Baseline PCT > 1.0 ng/mL is associated with poor outcome. PCT > 2.25 ng/mL and failure in reduction of PCT levels to < 60% of its baseline at day-7 post-intervention can identify high-mortality risk patients.

Role of Pancreatic Stone Protein as an Early Biomarker for Risk Stratification of Acute Pancreatitis

BACKGROUND

Early risk stratification of acute pancreatitis is crucial to improve clinical outcomes. The objective of this study was to evaluate the ability of pancreatic stone protein (PSP) to predict acute pancreatitis severity and to compare it with the biomarkers and severity scores currently used for that purpose.

PATIENTS AND METHODS

Prospective single-center observational study enrolling 268 adult patients with acute pancreatitis. Biomarkers including PSP were measured upon admission to the Emergency Department and severity scores as SOFA, PANC-3, and BISAP were computed. Patients were classified into mild-moderate (non-severe) and severe acute pancreatitis according to the Determinant-Based Classification Criteria. Area under the curve (AUC) and regression analysis were used to analyze the discrimination abilities and the association of biomarkers and scores with severity.

RESULTS

Two hundred and thirty-five patients (87.7%) were classified as non-severe and 33 (12.3%) as severe acute pancreatitis. Median [IQR] PSP was increased in patients with severe acute pancreatitis (890 μg/L [559-1142] vs. 279 μg/L [141-496]; p < 0.001) and it was the best predictor (ROC AUC: 0.827). In multivariate analysis, PSP and urea were the only independent predictors for severe acute pancreatitis and a model combining them both ("biomarker model") showed an AUC of 0.841 for prediction of severe acute pancreatitis, higher than the other severity scores.

CONCLUSIONS

PSP is a promising biomarker for predicting the severity of acute pancreatitis upon admission. A model combining PSP and urea might further constitute a potential tool for early risk stratification of this disease.

The role of procalcitonin as a prognostic factor for acute cholangitis and infections in acute pancreatitis: a prospective cohort study from a European single center

BACKGROUND

Infection in acute pancreatitis will worsen the disease prognosis. The aim of our study was to analyze the role of procalcitonin as a prognostic biomarker for infections and clinical severity.

METHOD

A prospective single-cohort observational study of patients diagnosed of acute pancreatitis (n = 152) was designed. PCT determination was tested on admission (first 72 h). Infections (biliary, extrapancreatic and infected pancreatic necrosis), need for antibiotics, urgent ERCP and severity scores for acute pancreatitis was assessed. ROC curves were designed and the area under the curve was calculated. Logistic regression for multivariate analysis was performed to evaluate the association between procalcitonin optimal cut-off level and major complications.

RESULTS

PCT >0.68 mg/dL had higher incidence of global infection, acute cholangitis, bacteraemia, infected pancreatic necrosis, use of antibiotics in general, and need for urgent ERCP. In the multivariate regressions analysis, PCT >0.68 mg/dL at admission demonstrated to be a strong risk factor for complications in acute pancreatitis.

DISCUSSION

PCT levels can be used as a reliable laboratory test to predict infections and the clinical severity of acute pancreatitis. High levels of PCT predict antibiotics prescription as well as the need for urgent ERCP in patients with concomitant clinically severe cholangitis.

Use of antibiotics in acute pancreatitis: ten major concerns

Acute pancreatitis is one of the most common gastrointestinal causes for hospitalization. In 15-20% it evolves into severe necrotizing pancreatitis. Recent studies have shown no association between the initiation of antibiotic therapy in acute pancreatitis and severe outcomes such as organ failure, infection of pancreatic necrosis, extrapancreatic infections or mortality. Specific subgroups with predicted severe acute pancreatitis or both extensive sterile necrosis and persistent organ failure may benefit from prophylactic antibiotics. Local infection develops in 30% of patients with pancreatic necrosis and results in morbidity and mortality. Contrast enhanced computed tomography should be performed in all patients with acute pancreatitis who develop sepsis, organ failure or fail to improve. C-reactive protein is an independent predictor of severe acute pancreatitis. Procalcitonin is the most sensitive laboratory test for detection of pancreatic infection. Antibiotics do however play a large role in patients with suspected or confirmed infected pancreatic necrosis and extrapancreatic infections. In clinical practice most clinicians prescribe antibiotics in the first 3 days of acute pancreatitis which in turns lead to excessive, unjustified use of antibiotics. Deep knowledge of the recent guidelines combined with an individualized management based on right clinical judgment is a rationale approach of patients with acute pancreatitis.

[Procalcitonin in the intensive care unit : Differential diagnostic and differential therapeutic possibilities]

Prokalzitonin (PCT) wird bei systemischen Inflammationszuständen IL6-, IL8- und TNF-α-vermittelt in multiplen Organen und Strukturen des Körpers gebildet. Dabei werden insbesondere bei der Sepsis deutlich erhöhte Werte gemessen. Die Höhe des PCT korreliert dabei gut mit der Krankheitsschwere, ein signifikanter Abfall unter Therapie mit der Prognose. In der differenzialdiagnostischen Abklärung kann die PCT-Bestimmung zwischen bakteriellen und viralen Infektionen unterscheiden. Nichtinfektiösbedingte inflammatorische Reaktionen können jedoch moderat erhöhte PCT-Werte zeigen. Cut-off-Werte sind abhängig von der renalen und hepatischen Funktion. Ein Therapiealgorithmus zur Antibiotikadauer mit PCT-Verlaufsbestimmungen kann den Antibiotikagebrauch reduzieren. In dieser Arbeit sollen die differenzialdiagnostischen und differenzialtherapeutischen Möglichkeiten einer Prokalzitoninbestimmung bei kritisch kranken Patienten erörtert werden.

Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice

Acute pancreatitis (AP) is a severe inflammation of the pancreas presented with sudden onset and severe abdominal pain with a high morbidity and mortality rate, if accompanied by severe local and systemic complications. Numerous studies have been published about the pathogenesis of AP; however, the precise mechanism behind this pathology remains unclear. Extensive research conducted over the last decades has demonstrated that the first 24 h after symptom onset are critical for the identification of patients who are at risk of developing complications or death. The identification of these subgroups of patients is crucial in order to start an aggressive approach to prevent mortality. In this sense and to avoid unnecessary overtreatment, thereby reducing the financial implications, the proper identification of mild disease is also important and necessary. A large number of multifactorial scoring systems and biochemical markers are described to predict the severity. Despite recent progress in understanding the pathophysiology of AP, more research is needed to enable a faster and more accurate prediction of severe AP. This review provides an overview of the available multifactorial scoring systems and biochemical markers for predicting severe AP with a special focus on their advantages and limitations.

Quantitative diffusion-weighted magnetic resonance imaging for prediction of early infection in pancreatic collections: Results of a pilot study

BACKGROUND/AIMS

The development of infection in pancreatitis increases the mortality rate up to 32%. Therefore, it is important to identify patients who are at high risk of developing infection, at an early stage. The objectives of the study were (a) to analyze the quantitative parameters of diffusion-weighted magnetic resonance imaging (DW-MRI) and apparent diffusion coefficient (ADC) in infected as well as sterile pancreatic collections (b) to establish "cut-off" values for ADC that can identify infected pancreatic collections.

MATERIALS AND METHODS

Prospective observational study of pancreatitis cases who underwent DW-MRI from August 2018 to July 2019 were enrolled in the study. The collections were analyzed for diffusion restriction. The average of the three ADC values from the wall and center of collection was noted.

RESULTS

Infected collections were seen in 7 and sterile collections observed in 11 cases. The optimal cut-off ADC value to differentiate sterile and infected collection in our study was 1.651 × 10^-3 mm²/s (sensitivity of 81.8%; specificity of 100.0%). ROC curve for mean ADC from the wall showed a significant diagnostic accuracy with AUC: 0.91; 95% CI: 0.77-1.0 (P = 0.004).

CONCLUSION

DW-MRI is a reliable noninvasive technique to differentiate sterile and infected pancreatic collections. ADC values from the periphery of the collection can predict infected pancreatic collections at an early stage. DW-MRI should not be considered as a substitute for aspiration cytology in patients with septic symptoms and absent diffusion restriction on MRI.