Literature DB >> 31866070

Development of the National Early Warning Score-Calcium Model for Predicting Adverse Outcomes in Patients With Acute Pancreatitis.

Jian-Wen Tan, Xiao-Qiong Zhang, Chun-Mi Geng, Ling-Li Peng.   

Abstract

INTRODUCTION: This study aimed to develop a new model on the basis of the National Early Warning Score to predict intensive care unit admission and the mortality of patients with acute pancreatitis.
METHODS: Patients diagnosed with acute pancreatitis in the emergency department were enrolled. The values of the National Early Warning Score, Modified Early Warning Score, and Bedside Index of Severity in Acute Pancreatitis in predicting intensive care unit admission and mortality of patients with acute pancreatitis were evaluated.
RESULTS: A total of 379 patients with acute pancreatitis were enrolled; 77 patients (20.3%) were admitted to the intensive care unit and 14 (3.7%) died. The National Early Warning Score and calcium level were identified as independent risk factors of intensive care unit admission. Serum calcium exhibited a moderate correlation with National Early Warning Score (r = -0.46; P < 0.001), Modified Early Warning Score (r = -0.37; P < 0.001), and Bedside Index of Severity in Acute Pancreatitis (r = -0.39; P < 0.001). A new model called National Early Warning Score-calcium was developed by combining National Early Warning Score and calcium blood test result, which had larger areas under the curve for predicting intensive care unit admission and mortality than the other 3 scoring systems. DISCUSSION: A new model developed by combining National Early Warning Score and calcium exhibited better value in predicting the prognosis of acute pancreatitis than the models involving National Early Warning Score, Modified Early Warning Score, and Bedside Index of Severity in Acute Pancreatitis alone.
Copyright © 2019 Emergency Nurses Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bedside Index of Severity in Acute Pancreatitis; Modified Early Warning Score; National Early Warning Score; Pancreatitis; Predictive model

Year:  2019        PMID: 31866070     DOI: 10.1016/j.jen.2019.11.003

Source DB:  PubMed          Journal:  J Emerg Nurs        ISSN: 0099-1767            Impact factor:   1.836


  4 in total

1.  Predicting the Need for Therapeutic Intervention and Mortality in Acute Pancreatitis: A Two-Center International Study Using Machine Learning.

Authors:  Na Shi; Lan Lan; Jiawei Luo; Ping Zhu; Thomas R W Ward; Peter Szatmary; Robert Sutton; Wei Huang; John A Windsor; Xiaobo Zhou; Qing Xia
Journal:  J Pers Med       Date:  2022-04-11

2.  Comparison of the Performance of 24 Early Warning Scores with the Updated National Early Warning Score (NEWS2) for Predicting Unplanned Intensive Care Unit (ICU) Admission in Postoperative Brain Tumor Patients: A Retrospective Study at a Single Center.

Authors:  Lingli Peng; Zhen Luo; Lingling Liang; Mingming Liu; Lingyao Meng; Jianwen Tan; Lili Song; Yan Zhang; Lixiang Wu
Journal:  Med Sci Monit       Date:  2021-03-02

3.  Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis.

Authors:  Shan-Shan He; Dan Li; Qi-Yong He; Xiao-Ping Chen; Yong-Xu Lin; Yun-Wen Yu; Feng-Lin Chen; Jian Ding
Journal:  Gastroenterol Res Pract       Date:  2022-04-04       Impact factor: 2.260

4.  Evaluation of the Prognostic Value of Red Cell Distribution Width to Total Serum Calcium Ratio in Patients with Acute Pancreatitis.

Authors:  Tian-Yong Han; Tao Cheng; Bo-Fu Liu; Ya-Rong He; Pan Pan; Wen-Tao Yang; Yu Cao
Journal:  Gastroenterol Res Pract       Date:  2021-07-27       Impact factor: 2.260

  4 in total

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