A NOVEL MARKER FOR DIFFERENTIAL DIAGNOSIS BETWEEN HEPATITIS B AND HEPATITIS C USING ROUTINE COMPLETE BLOOD COUNT AND CELL POPULATION DATA
(Abstract release date: 05/19/16)
EHA Library. Kahng J. 06/09/16; 134795; PB1895
Prof. Jimin Kahng
Contributions
Contributions
Abstract
Abstract: PB1895
Type: Publication Only
Background
Final diagnosis of hepatitis B or hepatitis C requires various immunologic and molecular diagnostic tests, and accordingly takes a significant amount of time prior to initiation of treatment. There is a high incidence of hepatitis in Korea, incurring high medical costs for hepatitis B (HBV) and hepatitis C (HCV). Reports have recently come that propose screening markers using CBC with cell population data (CPD) for infectious diseases such as sepsis and tuberculosis. If such screening markers for hepatitis are developed, it will contribute to the reduction of time prior to treatment and medical costs.
Aims
The study aims to find any possible screening marker or a combination of parameters detecting HCV from HBV among hepatitis patients using CBC with CPD.
Methods
We analyzed 3787 CBC data from 3721 individuals including patients with hepatitis (325 HBV and 84 HCV), anemia, malignancy, infection other than hepatitis, and health check-up at Seoul St. Mary’s Hospital, Korea, between December 2012 and July 2014. We used an automatic hematology analyzer (DxH 800, Beckman Coulter Inc., Miami, FL, USA) to obtain data including CBC-diff and CPD from using direct current impedance to measure cell volume (V) for accurate size of all cell types, ratio frequency opacity to characterize conductivity (C) for internal composition of each cell, and a laser beam to measure light scatter (S) for cytoplasmic granularity and nuclear structure. Each CPD parameter value for WBC, neutrophils, lymphocytes, eosinophils, monocytes, NN RBCs (non-nucleated RBCs) is first stored in Excel, and the values are divided by the mean value from the normal health check-up individuals. HBV and HCV cases are colored red and blue, respectively, and sorted in ascending order in Excel. After sorting, we identify grouping of HBV or HCV cases for each parameter. If grouping is found, the parameter is taken as a marker; otherwise, e.g., even distribution, the parameter is of no value as a marker. The cutoff value for each candidate marker is set when the combination of them yields over 75% both of sensitivity and specificity.
Results
A combination marker composed of four parameters with cutoff values for detecting HCV in the mixture of HBV and HCV is as follows: SD C NNRBC > 0.93; MN NNRBC C/AL2 > 0.55; MN AL2 EO (Eosinophils) > 0.97; SD V Ly > 1. The new combination marker detected 142 cases which consist of 64 from 84 HCV cases (76.2%) and 78 from 325 HBV cases (24.0%).
Conclusion
A new set of CPD marker is proposed with 76.2% sensitivity and 76.0% specificity to differentiate hepatitis C from hepatitis B within less than 1 hour by simple CBC test, reducing time and costs as a screening measure.
Session topic: E-poster
Keyword(s): Differentiation, Infection
Type: Publication Only
Background
Final diagnosis of hepatitis B or hepatitis C requires various immunologic and molecular diagnostic tests, and accordingly takes a significant amount of time prior to initiation of treatment. There is a high incidence of hepatitis in Korea, incurring high medical costs for hepatitis B (HBV) and hepatitis C (HCV). Reports have recently come that propose screening markers using CBC with cell population data (CPD) for infectious diseases such as sepsis and tuberculosis. If such screening markers for hepatitis are developed, it will contribute to the reduction of time prior to treatment and medical costs.
Aims
The study aims to find any possible screening marker or a combination of parameters detecting HCV from HBV among hepatitis patients using CBC with CPD.
Methods
We analyzed 3787 CBC data from 3721 individuals including patients with hepatitis (325 HBV and 84 HCV), anemia, malignancy, infection other than hepatitis, and health check-up at Seoul St. Mary’s Hospital, Korea, between December 2012 and July 2014. We used an automatic hematology analyzer (DxH 800, Beckman Coulter Inc., Miami, FL, USA) to obtain data including CBC-diff and CPD from using direct current impedance to measure cell volume (V) for accurate size of all cell types, ratio frequency opacity to characterize conductivity (C) for internal composition of each cell, and a laser beam to measure light scatter (S) for cytoplasmic granularity and nuclear structure. Each CPD parameter value for WBC, neutrophils, lymphocytes, eosinophils, monocytes, NN RBCs (non-nucleated RBCs) is first stored in Excel, and the values are divided by the mean value from the normal health check-up individuals. HBV and HCV cases are colored red and blue, respectively, and sorted in ascending order in Excel. After sorting, we identify grouping of HBV or HCV cases for each parameter. If grouping is found, the parameter is taken as a marker; otherwise, e.g., even distribution, the parameter is of no value as a marker. The cutoff value for each candidate marker is set when the combination of them yields over 75% both of sensitivity and specificity.
Results
A combination marker composed of four parameters with cutoff values for detecting HCV in the mixture of HBV and HCV is as follows: SD C NNRBC > 0.93; MN NNRBC C/AL2 > 0.55; MN AL2 EO (Eosinophils) > 0.97; SD V Ly > 1. The new combination marker detected 142 cases which consist of 64 from 84 HCV cases (76.2%) and 78 from 325 HBV cases (24.0%).
Conclusion
A new set of CPD marker is proposed with 76.2% sensitivity and 76.0% specificity to differentiate hepatitis C from hepatitis B within less than 1 hour by simple CBC test, reducing time and costs as a screening measure.
Session topic: E-poster
Keyword(s): Differentiation, Infection
Abstract: PB1895
Type: Publication Only
Background
Final diagnosis of hepatitis B or hepatitis C requires various immunologic and molecular diagnostic tests, and accordingly takes a significant amount of time prior to initiation of treatment. There is a high incidence of hepatitis in Korea, incurring high medical costs for hepatitis B (HBV) and hepatitis C (HCV). Reports have recently come that propose screening markers using CBC with cell population data (CPD) for infectious diseases such as sepsis and tuberculosis. If such screening markers for hepatitis are developed, it will contribute to the reduction of time prior to treatment and medical costs.
Aims
The study aims to find any possible screening marker or a combination of parameters detecting HCV from HBV among hepatitis patients using CBC with CPD.
Methods
We analyzed 3787 CBC data from 3721 individuals including patients with hepatitis (325 HBV and 84 HCV), anemia, malignancy, infection other than hepatitis, and health check-up at Seoul St. Mary’s Hospital, Korea, between December 2012 and July 2014. We used an automatic hematology analyzer (DxH 800, Beckman Coulter Inc., Miami, FL, USA) to obtain data including CBC-diff and CPD from using direct current impedance to measure cell volume (V) for accurate size of all cell types, ratio frequency opacity to characterize conductivity (C) for internal composition of each cell, and a laser beam to measure light scatter (S) for cytoplasmic granularity and nuclear structure. Each CPD parameter value for WBC, neutrophils, lymphocytes, eosinophils, monocytes, NN RBCs (non-nucleated RBCs) is first stored in Excel, and the values are divided by the mean value from the normal health check-up individuals. HBV and HCV cases are colored red and blue, respectively, and sorted in ascending order in Excel. After sorting, we identify grouping of HBV or HCV cases for each parameter. If grouping is found, the parameter is taken as a marker; otherwise, e.g., even distribution, the parameter is of no value as a marker. The cutoff value for each candidate marker is set when the combination of them yields over 75% both of sensitivity and specificity.
Results
A combination marker composed of four parameters with cutoff values for detecting HCV in the mixture of HBV and HCV is as follows: SD C NNRBC > 0.93; MN NNRBC C/AL2 > 0.55; MN AL2 EO (Eosinophils) > 0.97; SD V Ly > 1. The new combination marker detected 142 cases which consist of 64 from 84 HCV cases (76.2%) and 78 from 325 HBV cases (24.0%).
Conclusion
A new set of CPD marker is proposed with 76.2% sensitivity and 76.0% specificity to differentiate hepatitis C from hepatitis B within less than 1 hour by simple CBC test, reducing time and costs as a screening measure.
Session topic: E-poster
Keyword(s): Differentiation, Infection
Type: Publication Only
Background
Final diagnosis of hepatitis B or hepatitis C requires various immunologic and molecular diagnostic tests, and accordingly takes a significant amount of time prior to initiation of treatment. There is a high incidence of hepatitis in Korea, incurring high medical costs for hepatitis B (HBV) and hepatitis C (HCV). Reports have recently come that propose screening markers using CBC with cell population data (CPD) for infectious diseases such as sepsis and tuberculosis. If such screening markers for hepatitis are developed, it will contribute to the reduction of time prior to treatment and medical costs.
Aims
The study aims to find any possible screening marker or a combination of parameters detecting HCV from HBV among hepatitis patients using CBC with CPD.
Methods
We analyzed 3787 CBC data from 3721 individuals including patients with hepatitis (325 HBV and 84 HCV), anemia, malignancy, infection other than hepatitis, and health check-up at Seoul St. Mary’s Hospital, Korea, between December 2012 and July 2014. We used an automatic hematology analyzer (DxH 800, Beckman Coulter Inc., Miami, FL, USA) to obtain data including CBC-diff and CPD from using direct current impedance to measure cell volume (V) for accurate size of all cell types, ratio frequency opacity to characterize conductivity (C) for internal composition of each cell, and a laser beam to measure light scatter (S) for cytoplasmic granularity and nuclear structure. Each CPD parameter value for WBC, neutrophils, lymphocytes, eosinophils, monocytes, NN RBCs (non-nucleated RBCs) is first stored in Excel, and the values are divided by the mean value from the normal health check-up individuals. HBV and HCV cases are colored red and blue, respectively, and sorted in ascending order in Excel. After sorting, we identify grouping of HBV or HCV cases for each parameter. If grouping is found, the parameter is taken as a marker; otherwise, e.g., even distribution, the parameter is of no value as a marker. The cutoff value for each candidate marker is set when the combination of them yields over 75% both of sensitivity and specificity.
Results
A combination marker composed of four parameters with cutoff values for detecting HCV in the mixture of HBV and HCV is as follows: SD C NNRBC > 0.93; MN NNRBC C/AL2 > 0.55; MN AL2 EO (Eosinophils) > 0.97; SD V Ly > 1. The new combination marker detected 142 cases which consist of 64 from 84 HCV cases (76.2%) and 78 from 325 HBV cases (24.0%).
Conclusion
A new set of CPD marker is proposed with 76.2% sensitivity and 76.0% specificity to differentiate hepatitis C from hepatitis B within less than 1 hour by simple CBC test, reducing time and costs as a screening measure.
Session topic: E-poster
Keyword(s): Differentiation, Infection
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