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A reduced lymphocyte ratio as an early marker for predicting acute pancreatitis.


ABSTRACT: The early diagnosis and severity grading for acute pancreatitis (AP) are difficult to determine because of the complexity and differences in disease process. To date, few studies have investigated the role of lymphocyte ratio (LR) in AP. Therefore, the objective of the present study was to investigate the prognostic value of LR as an indicator in AP, as well as determine an optimal cut-off value for the severity prediction. There were two hundred four patients involved in this study, ninety-two of whom had severe acute pancreatitis (SAP). The LR was analyzed on admission and correlated with severity, which was determined using the Atlanta classification. The optimal cut-off value for LR was generated using receiving operator characteristic (ROC) curves. The results showed that the LR in the SAP group decreased significantly compared to the mild acute pancreatitis (MAP) group (8.82 vs. 13.43). The optimal cut-off value obtained from ROC curves was 0.081, with a sensitivity of 80.4%, a specificity of 53.3%, a positive likelihood ratio of 1.722, and a negative likelihood ratio of 0.368. In conclusion, the LR is obviously related to the condition of AP patients and is valuable for the differential diagnosis of SAP in early stages of AP.

SUBMITTER: Qi X 

PROVIDER: S-EPMC5339824 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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A reduced lymphocyte ratio as an early marker for predicting acute pancreatitis.

Qi Xiuzhong X   Yang Fangyong F   Huang Haitao H   Du Yiqi Y   Chen Yan Y   Wang Meitang M   Zhu Dezeng D   Yue Xiaoqiang X   Wang Lina L  

Scientific reports 20170307


The early diagnosis and severity grading for acute pancreatitis (AP) are difficult to determine because of the complexity and differences in disease process. To date, few studies have investigated the role of lymphocyte ratio (LR) in AP. Therefore, the objective of the present study was to investigate the prognostic value of LR as an indicator in AP, as well as determine an optimal cut-off value for the severity prediction. There were two hundred four patients involved in this study, ninety-two  ...[more]

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