Literature DB >> 29215536

Comparison of Various Scoring Systems and Biochemical Markers in Predicting the Outcome in Acute Pancreatitis.

Sreejith Vasudevan, Pooja Goswami, Ujjwal Sonika, Bhaskar Thakur, Vishnubhatla Sreenivas, Anoop Saraya.   

Abstract

OBJECTIVE: Early risk assessment is important in acute pancreatitis (AP). The primary objective of this study was to compare various scores and biochemical markers done on the day of admission in predicting the outcome.
METHODS: Demographic, clinical, and laboratory data of patients presenting within 2 weeks of onset were collected. Various scores were calculated and biochemical markers were measured on the day of admission. Optimum cutoffs were identified through receiver operating curve analysis. Multivariate analysis was used to identify predictors of outcome.
RESULTS: Of 343 patients included, 202 (59%) were male; mean (SD) age was 38.7 (15.5) years. Acute pancreatitis was severe in 170 (49.6%) patients. Twenty-eight percent of the patients developed infected pancreatic necrosis and 18% died. An Acute Physiology and Chronic Health Evaluation (APACHE II) score of at least 7, bedside index for severity of AP (BISAP) of at least 2, systemic inflammatory response syndrome score of at least 3, and C-reactive protein of at least 82 ng/mL predicted severity. Predictors of infected pancreatic necrosis were as follows: PANC 3 score of at least 1, BISAP score of at least 2, and Marshall score of at least 2, whereas C-reactive protein of greater than 98, BISAP score of at least 2, APACHE score of at least 10, and a blood urea nitrogen of at least 17 predicted mortality.
CONCLUSIONS: Both BISAP and APACHE II are comparable in predicting outcome, but BISAP predicted all 3 outcomes with the same cutoff and hence is a robust scoring system.

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Year:  2018        PMID: 29215536     DOI: 10.1097/MPA.0000000000000957

Source DB:  PubMed          Journal:  Pancreas        ISSN: 0885-3177            Impact factor:   3.327


  14 in total

1.  Early Systemic Inflammatory Response Syndrome Duration Predicts Infected Pancreatic Necrosis.

Authors:  Chaochao Tan; Li Yang; Fengxia Shi; Jiliang Hu; Xingwen Zhang; Yupeng Wang; Zhonghua Deng; Jiang Li; Hao Yuan; Ting Shi; Cunyan Li; Yan Xiao; Ya Peng; Wen Xu; Ying Huang
Journal:  J Gastrointest Surg       Date:  2019-03-19       Impact factor: 3.452

Review 2.  [Interventional endoscopic treatment in acute pancreatitis].

Authors:  Marcus Hollenbach; Jürgen Feisthammel; Albrecht Hoffmeister
Journal:  Internist (Berl)       Date:  2021-09-21       Impact factor: 0.743

Review 3.  Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice.

Authors:  Pedro Silva-Vaz; Ana Margarida Abrantes; Miguel Castelo-Branco; António Gouveia; Maria Filomena Botelho; José Guilherme Tralhão
Journal:  Int J Mol Sci       Date:  2020-01-04       Impact factor: 5.923

4.  Severity stratification and prognostic prediction of patients with acute pancreatitis at early phase: A retrospective study.

Authors:  Haijiang Zhou; Xue Mei; Xinhua He; Tianfei Lan; Shubin Guo
Journal:  Medicine (Baltimore)       Date:  2019-04       Impact factor: 1.817

5.  Serum apolipoprotein B-to-apolipoprotein A1 ratio is independently associated with disease severity in patients with acute pancreatitis.

Authors:  Jiayuan Wu; Yufeng Wang; Hongyan Li; Wenkai Tan; Xiaoming Chen; Shicai Ye
Journal:  Sci Rep       Date:  2019-05-23       Impact factor: 4.379

6.  A Multicenter, International Cohort Analysis of 1435 Cases to Support Clinical Trial Design in Acute Pancreatitis.

Authors:  Nelli Farkas; Lilla Hanák; Alexandra Mikó; Judit Bajor; Patrícia Sarlós; József Czimmer; Áron Vincze; Szilárd Gódi; Dániel Pécsi; Péter Varjú; Katalin Márta; Péter Jenő Hegyi; Bálint Erőss; Zsolt Szakács; Tamás Takács; László Czakó; Balázs Németh; Dóra Illés; Balázs Kui; Erika Darvasi; Ferenc Izbéki; Adrienn Halász; Veronika Dunás-Varga; László Gajdán; József Hamvas; Mária Papp; Ildikó Földi; Krisztina Eszter Fehér; Márta Varga; Klára Csefkó; Imola Török; Farkas Hunor-Pál; Artautas Mickevicius; Elena Ramirez Maldonado; Ville Sallinen; János Novák; Ali Tüzün Ince; Shamil Galeev; Barnabás Bod; János Sümegi; Petr Pencik; Attila Szepes; Andrea Szentesi; Andrea Párniczky; Péter Hegyi
Journal:  Front Physiol       Date:  2019-09-04       Impact factor: 4.566

7.  An Artificial Neural Networks Model for Early Predicting In-Hospital Mortality in Acute Pancreatitis in MIMIC-III.

Authors:  Ning Ding; Cuirong Guo; Changluo Li; Yang Zhou; Xiangping Chai
Journal:  Biomed Res Int       Date:  2021-01-28       Impact factor: 3.411

8.  Serum soluble PD-1 plays a role in predicting infection complications in patients with acute pancreatitis.

Authors:  Xingxing Yu; Yu Pan; Qinglin Fei; Xianchao Lin; Zhijiang Chen; Heguang Huang
Journal:  Immun Inflamm Dis       Date:  2021-01-08

9.  Early Changes in Blood Urea Nitrogen (BUN) Can Predict Mortality in Acute Pancreatitis: Comparative Study between BISAP Score, APACHE-II, and Other Laboratory Markers-A Prospective Observational Study.

Authors:  Elizabeth Pando; Piero Alberti; Rodrigo Mata; María José Gomez; Laura Vidal; Arturo Cirera; Cristina Dopazo; Laia Blanco; Concepción Gomez; Mireia Caralt; Joaquim Balsells; Ramón Charco
Journal:  Can J Gastroenterol Hepatol       Date:  2021-03-22

10.  Who's at Risk? A Prognostic Model for Severity Prediction in Pediatric Acute Pancreatitis.

Authors:  Peter R Farrell; Lindsey Hornung; Peter Farmer; Angelica W DesPain; Esther Kim; Ryan Pearman; Beemnet Neway; Ashley Serrette; Sona Sehgal; James E Heubi; Tom K Lin; Jaimie D Nathan; David S Vitale; Maisam Abu-El-Haija
Journal:  J Pediatr Gastroenterol Nutr       Date:  2020-10       Impact factor: 3.288

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