In patients diagnosed as sepsis on PICU admission, early and accurate identification of patients who will develop organ dysfunction (severe sepsis) is critical for effective management and positive outcome. A multiple marker approach would improve clinical utility compared with use of a single marker. The primary goal of this part of study is to define a combination of multiple markers, derived from novel biomarkers (nCD-64, IL-27, sTREM, HLA-DR, IL-10), metabolomics and routine clinical parameters, which could predict severe sepsis and determine the severity of disease.
We intend to enroll pediatric sepsis patients at four PICUs and divide them into two groups based on clinical outcomes: severe sepsis group (patients who progress into severe sepsis), sepsis group (patients who do not progress in to severe sepsis). We intend to perform predictive modeling using multivariable analyses of the novel biomarkers and derive a biomarker panel and algorithm for early diagnosis of severe sepsis. The predictive value of the biomarker panel for early identification of severe sepsis will be compared with established indices, such as PRISM III and pSOFA score.
Study Type
OBSERVATIONAL
Enrollment
175
Children's Hospital of Fudan University
Shanghai, Shanghai Municipality, China
Children's Hospital of Shanghai
Shanghai, Shanghai Municipality, China
Shanghai Children's Medical Center
Shanghai, Shanghai Municipality, China
Xinhua Hospital Affiliated to Shanghai Jiaotong University
Shanghai, Shanghai Municipality, China
Severe sepsis
Sepsis plus one of the following: cardiovascular organ dysfunction OR acute respiratory distress syndrome OR two or more other organ dysfunctions
Time frame: 28 day
Death
death
Time frame: 28 day
secondary infection
infection acquired 48h after PICU admission
Time frame: 28 day
length of ICU stay
from PICU admission to discharge
Time frame: 28 day
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