Registration of Sepsis Patients in the Emergency Department
Sepsis1) Establish a clinical data database for sepsis patients in the Emergency Department of the First Hospital of Jilin University. Describe the clinical data and prognosis of patients with simple systemic inflammatory response syndrome (common infection), pre sepsis, sepsis, and septic shock. 2) Explore the risk factors related to the progression of sepsis in patients in the early stages, as well as the risk factors related to the patient's prognosis. 3) Analyze the risk factors related to the prognosis of sepsis patients, and provide clinical basis for the treatment and long-term prognosis of sepsis patients. 4) Search for diagnostic biomarkers and prognostic serum biomarkers for patients with sepsis, sepsis, and septic shock.
Role of the Kallikrein-kinin System in Septic Cardiomyopathy
SepsisThe purpose of this study is to investigate whether there are differential expressions of molecules in the kallikrein-kinin system (KKS) pathway in septic cardiomyopathy, and to analyze their regulatory mechanisms and gene expression changes.
Platelet Transfusion in Sepsis Trial
SepsisThrombocytopeniaPlatelets are important mediators of an inflammatory response and a key component of the innate immune system to defend the human body against invading pathogens. However, little evidence exists regarding the number of platelets that should be used als transfusion threshold in septic patients. In this trial platelet transfusion will be performed with either <50000/µl or <20000/µl as a trigger.
The Value of Full-targeted Pathogen Capture Metagenomics Next Generation Sequencing in Etiological...
SepsisSevereThe etiological diagnosis of sepsis is the key to guide clinical treatment. Metagenomic sequencing (mNGS) is very suitable for the diagnosis of sepsis due to its rapid, accurate and not easy to be disturbed by the environment. However, the conventional pathogen mNGS has potential risks such as low detection rate, loss of intracellular bacteria and fungi. At present, the latest fully targeted pathogen capture mNGS technology makes up for the shortcomings of conventional methods by bidirectional enrichment of pathogen nucleic acids. The aim of this study was to explore the value of fully targeted pathogen capture mNGS in improving etiological diagnosis in patients with sepsis compared with conventional methods.
Long-term Prognosis of Patients With Sepsis After Immunotherapy
Long-term Effects of Thymosin Alpha 1 TreatmentCurrent clinical studies of thymosin α1 for sepsis have focused on short-term outcomes (28-day or 90-day mortality), and lack of clinical data on long-term outcomes (3 year mortality) of patients with sepsis after immunotherapy. Based on the preliminary clinical study (NCT02867267), this study will conduct long-term follow-up for sepsis patients to provide data support for the long-term prognosis of immunotherapy.
The Safety And Efficacy of ART-123 in Subjects With Sepsis and Coagulopathy
Sepsis and CoagulopathyThe purpose of the study is to evaluate if ART-123 given to patients who have severe sepsis can decrease mortality.
Uremic Toxins in the Intensive Care Unit (ICU): Patients With Sepsis
Renal FailureMulti Organ FailureStudy of the kinetics of uremic toxins in the ICU patients with acute renal failure, in order to optimize the dialysis dose: patients with sepsis/multi-organ failure. The sampling of blood and dialysate will be done during dialyses with different durations (4, 6 and 8h)
Hydrocortisone Versus Hydrocortisone Plus Fludrocortisone for the Treatment of Adrenal Insufficiency...
SepsisAdrenal InsufficiencyThe purpose of this study is to determine if the combination of hydrocortisone plus fludrocortisone is more efficacious than hydrocortisone alone in treating adrenal insufficiency in severe sepsis.
Comparison of Sepsis Prediction Algorithms
SepsisSepsis is a severe response to infection resulting in organ dysfunction and often leading to death. More than 1.5 million people get sepsis every year in the U.S., and 270,000 Americans die from sepsis annually. Delays in the diagnosis of sepsis lead to increased mortality. Several clinical decision support algorithms exist for the early identification of sepsis. The research team will compare the performance of three sepsis prediction algorithms to identify the algorithm that is most accurate and clinically actionable. The algorithms will run in the background of the electronic health record (EHR) and the predictions will not be revealed to patients or clinical staff. In this current evaluation study, the algorithms will not affect any part of a patient's care. The algorithms will be deployed across the Emory healthcare system on data from all patients presenting to the emergency department.
Early Diagnostic Biomarkers of Sepsis
Critically IllSepsisA Comparison between CRP, ferritin, and serum zinc as early diagnostic biomarkers of sepsis in critically ill patients