AIM: To evaluate the accuracy of red cell distribution width(RDW) to platelet ratio(RPR) to predict in-hospital mortality in acute pancreatitis(AP).METHODS: Between January 2010 and June 2012, 102 patients with AP wer...AIM: To evaluate the accuracy of red cell distribution width(RDW) to platelet ratio(RPR) to predict in-hospital mortality in acute pancreatitis(AP).METHODS: Between January 2010 and June 2012, 102 patients with AP were recruited to the study. In this retrospective cohort study, for all subjects, demographic data on hospital admission, AP etiology, comorbid diseases, organ failure assessment, laboratory parameters and length of hospital stay were examined. Additionally, we used a non-invasive prediction method in addition to the RPR to evaluate the disease severity. Multivariate logistic regression analyses were used to evaluate the impact of RPR on hospital admission to predict mortality.RESULTS:The male-female ratio(59/43)was 1.37with a median age of 56.5 years(17-89 years).In both univariate and multivariate analyses,RDW and RPR were presented as independent and significant variables on admission to predict mortality.The RPR obtained on hospital admission was persistently higher amongnon-survivors than among survivors(P<0.0001).The median RPR was 0.000087 in the non-survivor group and 0.000058 in the survivor group.RPR with a cutoff value of 0.000067 presented an area under the curve of 0.783(95%CI:0.688-0.878)in receiver operating characteristic curves and could predict the mortality of approximately 80%of the patients.展开更多
基金Supported by Ankara Numune Education and Research Hospital
文摘AIM: To evaluate the accuracy of red cell distribution width(RDW) to platelet ratio(RPR) to predict in-hospital mortality in acute pancreatitis(AP).METHODS: Between January 2010 and June 2012, 102 patients with AP were recruited to the study. In this retrospective cohort study, for all subjects, demographic data on hospital admission, AP etiology, comorbid diseases, organ failure assessment, laboratory parameters and length of hospital stay were examined. Additionally, we used a non-invasive prediction method in addition to the RPR to evaluate the disease severity. Multivariate logistic regression analyses were used to evaluate the impact of RPR on hospital admission to predict mortality.RESULTS:The male-female ratio(59/43)was 1.37with a median age of 56.5 years(17-89 years).In both univariate and multivariate analyses,RDW and RPR were presented as independent and significant variables on admission to predict mortality.The RPR obtained on hospital admission was persistently higher amongnon-survivors than among survivors(P<0.0001).The median RPR was 0.000087 in the non-survivor group and 0.000058 in the survivor group.RPR with a cutoff value of 0.000067 presented an area under the curve of 0.783(95%CI:0.688-0.878)in receiver operating characteristic curves and could predict the mortality of approximately 80%of the patients.
