The Biomarker Prediction Model of Septic Risk in Infected Patients: Observational Multi-center Study
试验速览
- 阶段
- 不适用
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- the change of biomarkers between the septic patients with and without acute kidney failure
研究概览
简要总结
Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to an infection. Sepsis is associated with high mortality because of the complex mechanisms. In China, the mortality of sepsis in ICU was up to 35.5%. As a major and urgent global public health challenge，sepsis is hard to treat because of the complexion and highly heterogeneous in clinical manifestation. The early diagnosis and stratification of the infection is very important. If we can identify the patients who may developed into the sepsis, the therapeutic regimen was not only antibiotic, but also included stable the vascular endothelial cells，regulation of coagulation function and protection of organ functions. Biomarkers have an important place in sepsis because they are strictly related to the organ damage. Each organ has its own specific biomarkers, and these biomarkers will change according to the severity of the disease. So the investigators want to find the difference of biomarkers of each organ in patients from infection to spesis.
详细描述
According to the definition, infection is the original source of sepsis. How can diagnose organ failure early is the most impotent thing which can prevention the sepsis. In 2021, the guidelines for management of septic and septic shock recommend Sequential Organ Failure Assessment (SOFA) and systemic inflammatory response syndrome (SIRS) to diagnose sepsis. The standards of SOFA were acquired from clinical manifestations，such as blood pressure, oxygenation index, platelet, etc. These indexes can abnormal at the end of organ failure. On the other hand, it is difficult to acquire these indexes in emergency. There is wide variation in diagnostic accuracy of these tools with most having poor predictive values.
The number of publications related to sepsis biomarkers has increased over the years. The proportion of new biomarkers has decreased. Because of the complexity of the sepsis response, single biomarker might be fruitless. The investigators want to use the cytokines which have found and can represent the function of the organ in septic patients. The investigations can use these biomarkers of respiratory system, circulation, liver, renal system, coagulation and nervous system, to build up a prediction model of septic risk in infected patients.
The participants will be divided into "training set" and "verification set" randomly. The proportion of training set: verification set is 3:2. In the training set, the investigators will compare the cytokines between infection and sepsis. In sepsis patients, the investigators will compare the data between "organ failure group" and "control group", and use these data to build up the prediction model of septic risk. These data will be verify the validity and accuracy of the model in the verification set.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Patients who meet any of the diagnostic criteria of "suspected infection", "confirmed infection" and "suspected sepsis".
排除标准
- •age < 18 years old; pregnancy or breast-feeding; lack of informed consent by the patients or relatives.
结局指标
主要结局
the change of biomarkers between the septic patients with and without acute kidney failure
时间窗: Participant will be followed up to 14 days to observe whether they can be diagnosed sepsis or not.
neutrophil gelatinase-associated apolipoprotein (NGAL) and serial serum cell adhesion molecules (the cutoff value is 124.4 ng/ml)
the change of biomarkers between the septic patients with and without disturbance of consciousness
时间窗: Participant will be followed up to 14 days to observe whether they can be diagnosed sepsis or not.
neuron-specific enolase (NSE), the cutoff value is 24.15 ng/ml to diagnose Septic encephalopathy; S100β: is a calcium-binding protein released by brain astrocytes. The increase of S100β is represents breakdown of the blood-brain barrier.
the change of biomarkers between the septic patients with and without circulatory failure
时间窗: Participant will be followed up to 14 days to observe whether they can be diagnosed sepsis or not.
heart type fatty acid-binding protein (hFABP): The expression was increased in patients with septic myocardial injury, with intercept value ≥4.5 ng/mL, sensitivity of 83%, specificity of 73%. The myocardial enzyme will also be tested.
the change of biomarkers between the septic patients with and without ARDS
时间窗: Participant will be followed up to 14 days to observe whether they can be diagnosed sepsis or not.
endocan (the cutoff value is 2.45 ng/ml to diagnose ARDS); sydecan-1 and Ang 2 are also the biomarkers of ARDS, they can but the cutoff values are not certain.
the change of biomarkers between the septic patients with and without liver failure
时间窗: Participant will be followed up to 14 days to observe whether they can be diagnosed sepsis or not.
Golgi body 73 (GP73): is rarely or not expressed in normal liver cells, but is relatively stable in bile duct epithelial cells of the liver. When liver lesions occur, the expression level of GP73 is significantly higher. endothelin-1 is another biomarker to evaluate the liver function in sepsis
the change of biomarkers between the septic patients with and without abnormal coagulation function
时间窗: Participant will be followed up to 14 days to observe whether they can be diagnosed sepsis or not.
tissue factor (TF): as the important components of exogenous coagulation pathways, TF will be elevated in sepsis. the cutoff value is 1005.8 pg/ml.
次要结局
未报告次要终点