Tae Y Kim1, Sun J Kim1, Yoon S Kim1, Jong W Lee2, Eung J Park3, Seok J Lee4, Kyong J Lee4, Yong S Cha1. 1. Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. 2. Department of Laboratory Medicine, Konyang University Hospital, Daejeon, Republic of Korea. 3. Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. 4. Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Abstract
Background: Predicting severe acute pancreatitis (AP) in the early clinical stage is important for low morbidity and mortality. Delta neutrophil index (DNI) is used to detect infection and inflammation, but no previous studies have evaluated the usefulness of DNI as an early predictor of progression to severe AP (SAP). Methods: The medical records of patients who were diagnosed with AP at the emergency department (ED) of Wonju Severance Christian Hospital from January 2012 to August 2016 were retrospectively reviewed. The initial DNI obtained in the ED was compared with other inflammatory markers to predict SAP. Multivariate logistic regression was used for statistical analysis. Results: Of the 209 cases included in the analysis, 13 were classified as SAP. Compared to the DNI of the mild to moderately SAP group, that in the SAP group was considerably higher. The DNI showed a positive correlation with the Atlanta classification and bedside index of severity in AP. Using multivariate logistic regression analysis, DNI was an independent predictor of early SAP detection (odds ratio 1.122, 95% CI 1.045-1.205, p = 0.001). Among the biomarkers, DNI had the highest predictive value for SAP. Conclusions: The DNI measured in the ED at presentation is a potentially useful adjunctive marker to predict SAP.
Background: Predicting severe acute pancreatitis (AP) in the early clinical stage is important for low morbidity and mortality. Delta neutrophil index (DNI) is used to detect infection and inflammation, but no previous studies have evaluated the usefulness of DNI as an early predictor of progression to severe AP (SAP). Methods: The medical records of patients who were diagnosed with AP at the emergency department (ED) of Wonju Severance Christian Hospital from January 2012 to August 2016 were retrospectively reviewed. The initial DNI obtained in the ED was compared with other inflammatory markers to predict SAP. Multivariate logistic regression was used for statistical analysis. Results: Of the 209 cases included in the analysis, 13 were classified as SAP. Compared to the DNI of the mild to moderately SAP group, that in the SAP group was considerably higher. The DNI showed a positive correlation with the Atlanta classification and bedside index of severity in AP. Using multivariate logistic regression analysis, DNI was an independent predictor of early SAP detection (odds ratio 1.122, 95% CI 1.045-1.205, p = 0.001). Among the biomarkers, DNI had the highest predictive value for SAP. Conclusions: The DNI measured in the ED at presentation is a potentially useful adjunctive marker to predict SAP.
Authors: Byung Hoon Park; Young Ae Kang; Moo Suk Park; Won Jai Jung; Su Hwan Lee; Sang Kook Lee; Song Yee Kim; Se Kyu Kim; Joon Chang; Ji Ye Jung; Young Sam Kim Journal: BMC Infect Dis Date: 2011-11-01 Impact factor: 3.090
Authors: Sang Il Han; Kyoung-Chul Cha; Young Il Roh; Sung Oh Hwang; Woo Jin Jung; Tae Youn Kim Journal: Emerg Med Int Date: 2021-03-24 Impact factor: 1.112