d-Dimer in Acute Pancreatitis

Radenković, Dejan; Bajec, Djordje; Ivančević, Nikola; Milić, Nataša; Bumbaširević, Vesna; Jeremić, Vasilije; Djukić, Vladimir; Stefanović, B; Stefanović, Branislav; Milosevic-Zbutega, Gorica; Gregorić, Pavle D

doi:10.1097/mpa.0b013e3181a66860

Cited by 55 publications

(29 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Solely studies utilizing the Atlanta 1992 classification were considered [4]. In total, 16 studies fulfilled these criteria and were selected for the predetermination of cut-off levels [15,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34]. The biomarkers analyzed in these publications were interleukin-1beta (IL-1β), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α), monocyte chemoattractant protein-1 (MCP-1), procalcitonin and D-dimer.…”

Section: Methodsmentioning

confidence: 99%

Predictive Capacity of Biomarkers for Severe Acute Pancreatitis

Sternby¹,

Hartman

Johansen³

et al. 2016

Eur Surg Res

View full text Add to dashboard Cite

Background: Early prediction of severe acute pancreatitis (SAP) substantially improves treatment of patients. A large amount of biomarkers have been studied with this objective. The aim of this work was to study predictive biomarkers using preset cut-off levels in an unselected population of patients with acute pancreatitis (AP). Methods: 232 patients (52.2% males, median age 66 years) with AP admitted to Skåne University Hospital, Malmö, were consecutively enrolled. Blood samples were collected upon admission and clinical data were gathered both prospectively at inclusion and through review of medical notes. Cut-off levels were defined based on the reports of prior studies, and through their results eight biomarkers (IL-1β, IL-6, IL-8, IL-10, TNF-α, MCP-1, procalcitonin and D-dimer) were selected for analysis. Results: Of the patients, 83.2% had mild AP and 16.8% had SAP. Levels of IL-1β, IL-6 and IL-10 were significantly (p < 0.05) higher upon admission in the group with SAP. When applying the preset cut-off levels on our material, sensitivity and specificity for prediction of severity were low. Receiver operating characteristic curves showed that selected cut-off levels were acceptable, but areas under the curves were inferior compared to other studies. The results did not improve when using the revised Atlanta 2012 classification. Conclusions: Previous studies on severity prediction of AP are difficult to compare due to large variations in setups and outcomes. Calculated cut-offs in our cohort were in acceptable range from preset levels, however areas under the curves were low, indicating suboptimal biomarkers for the unselected population investigated. For comparable results and possible clinical implementations, future studies need large consecutive series with a reasonable percentage of severe cases. Additionally, novel biomarkers need to be explored.

show abstract

Section: Methodsmentioning

confidence: 99%

Predictive Capacity of Biomarkers for Severe Acute Pancreatitis

Sternby¹,

Hartman

Johansen³

et al. 2016

Eur Surg Res

View full text Add to dashboard Cite

show abstract

“…Clinical studies have shown an elevated prothrombin time in patients with AP (Radenkovic et al, 2009). However, there have been no reports of significant deviations in partial thromboplastin time (APTT) or in F1+2 levels in patients with AP.…”

Section: Coagulation and Fibrinolysis Abnormalities In Apmentioning

confidence: 99%

Coagulation Abnormalities in Acute Pancreatitis

Gould¹,

Mai²,

Liaw³

2012

Pancreatitis - Treatment and Complications

View full text Add to dashboard Cite

“…Organ dysfunction and ICU admittance occurs in approximately 38% -52% of patients with severe acute pancreatitis [5,19], and represents a worst case scenario associated with the most demanding treatment and the highest morbidity and mortality rates (21.0% -53.6%) amongst patients with acute pancreatitis [5,[20][21][22]. Ex-penses of ICU patients due to highly demanding continuous care, special equipment and therapeutic intervenetions exceed costs of patients treated in the wards by wide margins [5].…”

Section: Introductionmentioning

confidence: 99%

The Risk Factors of Intensive Care Unit Admittance during First Attack of Acute Pancreatitis

Dale¹,

Omdal²,

Lie³

et al. 2012

View full text Add to dashboard Cite

Background: A proportion of patients with acute pancreatitis develop severe organ dysfunction requiring admittance in an intensive care unit. Patient characteristics associated with ICU admittance were evaluated in this consecutive series of patients. Methods: The clinical course of patients with first attack of acute pancreatitis in urban Norway between 01.01.1996 and 31.12.2006 was reviewed. Patient characteristics, comorbidity, pre hospital delay and likely aetiology of acute pancreatitis were analysed as risk factors for ICU admittance. Results: This study includes 565 patients, 299 women and 266 men (p = 0.089), with a median age of 60 years (range: 17 -98). 50 (9%) of the patients were admitted to the ICU. Men were more at risk than women for ICU admittance (OR 2.34; 95% CI: 1.27 -4.32). Patients with alcohol associated pancreatitis (OR 5.94; 95%, CI: 2.61 -13.53), miscellaneous aetiologies (OR: 2.81, 95% CI: 1.02 -7.73) and non-assessed aetiology (OR 2.71, 95%, CI: 1.26 -5.82) were more at risk of ICU admittance than patients with bile stones associated pancreatitis. Pre hospital delay increased the risk of ICU admittance amongst patients with alcohol associated pancreatitis (OR 4.23; 95%, CI: 1.11 -16.18). Two comorbid conditions conveyed increased risk (OR 8.78; 95%,). The case fatality rate was 24% in the ICU and 1.6% in the ward (OR 20.01, 95% CI: 7.71 -51.93). Conclusions: Aetiology of acute pancreatitis, especially alcohol, pre-hospital delay and male gender are associated with increased of risk of ICU admittance and increased fatality rate during first attack of AP.

show abstract

d-Dimer in Acute Pancreatitis

Abstract: Measurement of plasma levels of D-dimer on the admission is an accurate method for the identification of patients who will develop OF in the further course of AP.

Cited by 55 publications

References 24 publications

Predictive Capacity of Biomarkers for Severe Acute Pancreatitis

Predictive Capacity of Biomarkers for Severe Acute Pancreatitis

Coagulation Abnormalities in Acute Pancreatitis

The Risk Factors of Intensive Care Unit Admittance during First Attack of Acute Pancreatitis

Contact Info

Product

Resources

About