Active clinical trials for "Toxemia"

This is a prospective cohort study using gene expression to study patients with infection and sepsis from pneumonia.

Sepsis, a severe response to bacterial infection, lacks understanding of immunometabolic features that can identify high-risk patients. This study aimed to discover immune, biological, and metabolic biomarkers in sepsis patients with poor prognosis and understand the underlying mechanisms of host immune responses.

The impact of the complex liver immunological network on sepsis outcome is largely unknown. Steatotic liver disease (SLD) is the most common chronic liver disease with prevalence of 25% in European countries. The question remains whether patients with SLD are more prone to bacterial infections and what is the impact of persistent liver inflammation to the systemic response to infection, sepsis course and outcomes. Semaphorins are a large family of secreted and membrane-bound biological response modifiers present in many organ systems that are associated with SLD and development of fibrosis, but also might regulate systemic immune responses in sepsis. This study will investigate the association of semaphorins with sepsis outcomes in patients with SLD.

Observational study for monitoring of capillary refill time in sepsis

Introduction: Sepsis-induced acute respiratory distress syndrome(SI-ARDS) is a common complication of severe sepsis and is an independent contributor to poor prognosis of patients. It remains a clinical challenge to identify the SI-ARDS early and accurately, which could optimize the treatment strategy and reduce the mortality risk. Radiomics high-dimensional features extracted from CT images offer an insight into microvascular damage of SI-ARDS that are imperceptible to human eyes and aspects of intra-alveolar heterogeneity with potential prognostic relevance. Methods: Study design Investigators screened all patients with sepsis and septic shock who are treated in Sun Yat-sen Memorial Hospital, Sun Yat-sen University during the period from 1 May 2015 and 30 May 2022. Patients were recruited retrospectively from May 2015 to April 2021 as discovering group, and prospectively during the period from May 2021 to May 2022 as validation group. Follow-up will conducted until April 2023. Cohort descriptions and definitions Investigators plan to recruit 160 patients in discovering group, 40 patients in internal validation group, and 100 patients in external validation group. Patients between 18 and 80 years of age with sepsis and septic shock will be screened for eligibility. SI-ARDS is defined by sequential occurrence of the sepsis-3 consensus criteria for sepsis and the Berlin Definition for ARDS. The exclusion criteria are： admission stay <24hours, the presence of end-stage lung disease or long-term oxygen therapy, critically ill patients who have started mechanical ventilation caused by SI-ARDS before admission, a history of lung transplantation and chronic obstructive pulmonary disease, cancer patients not/have received chemotherapy. Outcome measures In this study, the primary outcome measure was the occurrence rates of acute respiratory distress syndrome(ARDS). It refers to the occurrence of sepsis patients progressed into ARDS. Secondary outcome measures were as follows: 1.28-day mortality 2.ventilator-free days 3.respiratory failure-free days Data collection All clinical data were collected by investigators and trained personnel. Each participant's data will be filled in electronic case report forms (CRF) and store online using REDCap (Research Electronic Data Capture). Discussion: SI-ARDS is one common severe complication with critically ill sepsis patients, which causes high mortality and poor prognosis. Early ARDS patient(arterial oxygen tension/inspired oxygen fraction [PaO2/FIO2] ≤ 300 mmHg but > 200 mmHg) may not require invasive mechanical ventilation, and is more readily reversible than acute respiratory distress syndrome(ARDS). In this ambispecive cohort study, investigators developed and validated novel nomograms incorporating the radiomics signature and clinical signature to provide an easy-to-use and individualized prediction of SI-ARDS occurrence and severe degree in patients with early stage.

Background Sepsis still the main challenge of ICU patients, because of its high morbidity and mortality. The proportion of sepsis, severe sepsis, and septic shock in china were 3.10%, 43.6%, and 53.3% with a 2.78%, 17.69%, and 51.94%, of 90-day mortality, respectively. Besides, according to the latest definition of sepsis- "a life-threatening organ dysfunction caused by a dysregulated host response to infection. ", it is a disease with intrinsic heterogeneity. Sepsis as a syndrome with such great heterogeneity, there will be significant differences in the severity of sepsis. As a result, there will be significant differences in the treatment and monitoring intensity required by patients with severe sepsis and mild sepsis. No matter from the economic perspective or from the risk of treatment, a proper level of treatment will be the best chose of patient. However, the evaluation of the sepsis severity was not satisfied. Such of SOFA, the AUC of predict patients' mortality was only 69%. Weather these patients occurred multiple organ dysfunction syndrome (MODS) may had totally different outcome and needed totally different treatment. All these treatments need early interference, in order to achieve a good prognosis. Hence, early recognition of MODS caused by sepsis became an imperious demand. Study design On the base of regional critical medicine clinical information platform, a multi-center, sepsis big data platform (including clinical information database and biological sample database) and a long-term follow-up database will be established. Thereafter, an early identification, risk classification and dynamic early warning system of sepsis induced MODS will be established. This system was based on the real-time dynamic vital signs and clinical information, combined with biomarker and multi-omics information. And this system was evaluated sepsis patients via artificial intelligence, machine learning, bioinformatics analysis techniques. Finally, optimize the early diagnosis of sepsis induced MODS, standardized the treatment strategy, reduce the morbidity and mortality of MODS through this system.

septic shock is the first cause of mortality in intensive care unit. Innate immunity is the body's first line of defense against pathogens

In the REMISE is study, we will compare blood proteins, biomarkers, and other -omics prospectively collected from patients with sepsis from two sources, i.) remnant (discarded) samples from the clinical laboratory, and ii.) prospectively collected in UPMC Presbyterian hospital research coordinator specimen collected biospecimens. Analyses will include traditional biomarkers, quantitative proteomics, metabolomics, lipidomics, transcriptomics, and pathogen genomic sequencing in both sets of samples. This data will allow the assessment of the feasibility, integrity, and scientific value of remnant samples compared to research coordinator samples collected at the bedside for mechanistic sepsis research.

Sepsis is a life-threatening condition, caused by a systemic infection. It is particularly dangerous in already fragile populations and needs to be identified quickly to be treated as fast as possible, as discussed during the 2016 sepsis consensus and highlighted by the 2021 Surviving Sepsis Campaign. Yet, while there are scores to quickly identify patients who are at an increased risk of mortality (namely quick-SOFA, q-SOFA), these scores are also highly unspecific and cannot guarantee an adequate risk stratification. Therefore, it would be extremely valuable to further stratify mortality risk in patients who present to the emergency medical evaluation, especially those who present with stable hemodynamics but are at increased risk of decompensation during hospital stay. Furthermore, in the emergency room, it is sometimes impossible to re-evaluate patients regularly, thus, it would be important to immediately identify high-risk patients. Unfortunately, at the moment, there is no consensus. Through this study, the investigators will try to identify ultrasound parameters and biochemical markers which can be obtained during the first visit in the emergency room (ER) and that allow a quick risk stratification of patients with sepsis. The rationale of this study is to improve early identification of septic patients who are at risk of rapid deterioration in the course of their permanence in the ER and the hospital wards in general. The investigators selected a number of clinical, laboratory and bedside ultrasound parameters which have been previously shown to be correlated with mortality in sepsis, and will seek to identify which among these parameters best correlates with prognosis when acquired in the very first minutes of a patient's arrival in the ER. The objective would be to analyse these parameters and eventually to propose a new early sepsis score which might help the emergency physician to better tailor its efforts and clinical resources to the most sick patients.

A comprehensive strategy will be used to investigate the relationship and correlation between 4 diagnostically significant markers relevant for early diagnosis and prediction of complications and death in the development of sepsis in children (C-reactive protein, procalcitonin, presepsin and lipopolysaccharide binding protein). For the first time, an attempt will be made to assess the genetic characteristics of the patient's from the point of view of predisposition to the unfavorable development of the sepsis based on the study of polymorphism of a number of genes of the immune system (tumor necrosis factor beta; interleukin 6, 8, 10; lymphotoxin alpha, etc.). Based on the study results, an algorithm to predict the unfavorable course of sepsis in children will be developed using a comprehensive assessment of biochemical and molecular genetic markers.