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Tytuł pozycji:

Use of Modified Balthazar Grades for the Early Prediction of Acute Pancreatitis Severity in the Emergency Department

Tytuł:
Use of Modified Balthazar Grades for the Early Prediction of Acute Pancreatitis Severity in the Emergency Department
Autorzy:
Cheng T
Han TY
Liu BF
Pan P
Lai Q
Yu H
Cao Y
Temat:
acute pancreatitis
severity
balthazar grade
revised atlanta classification
Medicine (General)
R5-920
Źródło:
International Journal of General Medicine, Vol Volume 15, Pp 1111-1119 (2022)
Wydawca:
Dove Medical Press, 2022.
Rok publikacji:
2022
Kolekcja:
LCC:Medicine (General)
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
1178-7074
Relacje:
https://www.dovepress.com/use-of-modified-balthazar-grades-for-the-early-prediction-of-acute-pan-peer-reviewed-fulltext-article-IJGM; https://doaj.org/toc/1178-7074
Dostęp URL:
https://doaj.org/article/55b413ec761346dba87b6473ae0948cd  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.55b413ec761346dba87b6473ae0948cd
Czasopismo naukowe
Tao Cheng,1,2,* Tian-Yong Han,1,2,* Bo-Fu Liu,1,2 Pan Pan,1,2 Qiang Lai,1,2 Haifang Yu,1,2 Yu Cao1,2 1Emergency Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People’s Republic of China; 2Laboratory of Emergency Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yu CaoEmergency Department of West China Hospital and Laboratory of Emergency Medicine of West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, 610041, Sichuan, People’s Republic of China, Tel +86-28-85422288, Email caoyu@wchscu.cnObjective: To develop a new approach based on Balthazar grades of acute pancreatitis (AP) and to assess this modified method as a tool for the early prediction of AP severity in the emergency department (ED).Methods: Data pertaining to AP patients ≥ 18 years old that had undergone computed tomography (CT) scanning within 24 h following ED admission between January 1, 2017 and September 30, 2017 were retrospectively analyzed. Patients were separated into two groups based on the length of time between the onset of their AP symptoms and the completion of CT scanning (Group 1: < 72 h; Group 2: ≥ 72 h). Modified Balthazar grades for these patients were then assessed, with the concordance between these modified grades and the 2012 revised Atlanta classification being assessed using the Kappa (κ) statistic. The modified grade with the largest κ value was evaluated based on performance traits including Harrell’s concordance index (C-index), area under the receiver operating characteristic curve (AUC) analyses, calibration curves, and decision curve analyses (DCA) in comparison with bedside index for severity in AP (BISAP) scores.Results: In total, 372 patients were included in the present analysis. These patients were regraded according to six methods, with the method yielding the largest κ value consisting of regraded Balthazar grades A–C, D, and E, respectively, corresponding to mild, moderate, and severe AP. The κ values for this method were 0.786 (95% CI, 0.706– 0.853) in Group 1 and 0.907 (95% CI, 0.842– 0.955) in Group 2, exhibiting nearly complete agreement with the latest Atlanta classification of AP. AUROC values for these modified Balthazar grades when used to predict SAP were significantly higher than those for BISAP scores in Group 1, Group 2, and the overall cohort (P < 0.05). The DCA curves for Group 1, Group 2, and the overall patient cohort exhibited substantial net benefits when using these modified grades across a range of POFs relative to BISAP scores. The calibration curve for this modified approach to predicting POF in AP patients revealed good agreement in this cohort.Conclusion: Modified Balthazar grades exhibited substantial to near-total agreement with the 2012 revised Atlanta classification of AP patients, and this modified method can thus be used for the early prediction of AP severity in the ED.Keywords: acute pancreatitis, severity, Balthazar grade, revised Atlanta classification

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