New markers in predicting the severity of acute pancreatitis in the emergency department: Immature granulocyte count and percentage.


Journal

Journal of postgraduate medicine
ISSN: 0972-2823
Titre abrégé: J Postgrad Med
Pays: India
ID NLM: 2985196R

Informations de publication

Date de publication:
Historique:
pubmed: 4 2 2021
medline: 1 4 2021
entrez: 3 2 2021
Statut: ppublish

Résumé

Acute pancreatitis (AP) may vary in severity, from mild, self-limiting pancreatic inflammation to rapidly progressive life-threatening clinical course. If the severity of AP can be predicted early and treated quickly, it may lead to a decrease in morbidity and mortality rates. There?fore, we aimed to investigate the clinical utility of immature granulocyte count (IGC) and IGC percentage (IG%) in showing the severity of AP in this study. Two hundred and twenty-seven patients who were admitted to our emergency department and diagnosed with AP between March 1 and September 30, 2019, were included in the study. The patients were divided into two groups as mild and severe AP (MAP and SAP) according to the severity of the disease. Demographic characteristics of the patients, disease etiology, disease severity, and inflammation markers [white blood cell count (WBC), IGC, IG%, neutrophil-lymphocyte ratio (NLR), and C-reactive protein (CRP)] were recorded. Differences between the groups were statistically analyzed. Of the patients included in the study, 183 (80.7%) were in the MAP group and 44 (19.3%) were in the SAP group. The mean WBC, NLR, CRP, IGC, and IG% levels were significantly higher in the SAP group compared to the MAP group. The power of IGC and IG% in predicting SAP was higher than other inflammation markers (WBC, NLR, and CRP) [(AUC for IGC: 0.902; sensitivity: 78.2%; specificity: 92.8%); (AUC for IG%: 0.843; sensitivity: 72.7%; specificity: 84.6%)]. IGC and IG% show the severity of AP more effectively than WBC, NLR, and CRP, which are traditional inflammation markers.

Sections du résumé

BACKGROUND BACKGROUND
Acute pancreatitis (AP) may vary in severity, from mild, self-limiting pancreatic inflammation to rapidly progressive life-threatening clinical course. If the severity of AP can be predicted early and treated quickly, it may lead to a decrease in morbidity and mortality rates. There?fore, we aimed to investigate the clinical utility of immature granulocyte count (IGC) and IGC percentage (IG%) in showing the severity of AP in this study.
METHODS METHODS
Two hundred and twenty-seven patients who were admitted to our emergency department and diagnosed with AP between March 1 and September 30, 2019, were included in the study. The patients were divided into two groups as mild and severe AP (MAP and SAP) according to the severity of the disease. Demographic characteristics of the patients, disease etiology, disease severity, and inflammation markers [white blood cell count (WBC), IGC, IG%, neutrophil-lymphocyte ratio (NLR), and C-reactive protein (CRP)] were recorded. Differences between the groups were statistically analyzed.
RESULTS RESULTS
Of the patients included in the study, 183 (80.7%) were in the MAP group and 44 (19.3%) were in the SAP group. The mean WBC, NLR, CRP, IGC, and IG% levels were significantly higher in the SAP group compared to the MAP group. The power of IGC and IG% in predicting SAP was higher than other inflammation markers (WBC, NLR, and CRP) [(AUC for IGC: 0.902; sensitivity: 78.2%; specificity: 92.8%); (AUC for IG%: 0.843; sensitivity: 72.7%; specificity: 84.6%)].
CONCLUSION CONCLUSIONS
IGC and IG% show the severity of AP more effectively than WBC, NLR, and CRP, which are traditional inflammation markers.

Identifiants

pubmed: 33533745
pii: 308518
doi: 10.4103/jpgm.JPGM_784_20
pmc: PMC8098866
doi:

Substances chimiques

Biomarkers 0
C-Reactive Protein 9007-41-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7-11

Déclaration de conflit d'intérêts

None

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Auteurs

C Bedel (C)

Health Science University Antalya Training and Research Hospital, Department of Emergency Medicine, Antalya, Turkey.

M Korkut (M)

Health Science University Antalya Training and Research Hospital, Department of Emergency Medicine, Antalya, Turkey.

F Selvi (F)

Health Science University Antalya Training and Research Hospital, Department of Emergency Medicine, Antalya, Turkey.

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Classifications MeSH