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Implementation of Complementary Model using Optimal Combination of Hematological Parameters for Sepsis Screening in Patients with Fever

 Jang-Sik Choi  ;  Tung X Trinh  ;  Jihye Ha  ;  Mi-Sook Yang  ;  Yangsoon Lee  ;  Yeoung-Eun Kim  ;  Jungsoon Choi  ;  Hyung-Gi Byun  ;  Jaewoo Song  ;  Tae-Hyun Yoon 
 SCIENTIFIC REPORTS, Vol.10(1) : 273, 2020-01 
Journal Title
Issue Date
The early detection and timely treatment are the most important factors for improving the outcome of patients with sepsis. Sepsis-related clinical score, such as SIRS, SOFA and LODS, were defined to identify patients with suspected infection and to predict severity and mortality. A few hematological parameters associated with organ dysfunction and infection were included in the score although various clinical pathology parameters (hematology, serum chemistry and plasma coagulation) in blood sample have been found to be associated with outcome in patients with sepsis. The investigation of the parameters facilitates the implementation of a complementary model for screening sepsis to existing sepsis clinical criteria and other laboratory signs. In this study, statistical analysis on the multiple clinical pathology parameters obtained from two groups, patients with sepsis and patients with fever, was performed and the complementary model was elaborated by stepwise parameter selection and machine learning. The complementary model showed statistically better performance (AUC 0.86 vs. 0.74-0.51) than models built up with specific hematology parameters involved in each existing sepsis-related clinical score. Our study presents the complementary model based on the optimal combination of hematological parameters for sepsis screening in patients with fever.
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1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Song, Jae Woo(송재우) ORCID logo https://orcid.org/0000-0002-1877-5731
Ha, Jihye(하지혜)
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