Active clinical trials for "Sepsis"

This study was a single-center, open clinical study in Chinese septic patients with or without acute kidney injury. The aims of this study were to obtain the blood concentration and pharmacokinetic parameters of meropenem and piperacillin, exosome information and endogenous biomarker, and to explore the functional changes of OATs under the condition of sepsis and acute kidney injury.

This study aims to integrate multi-omics data and clinical indicators to reveal pathogen-specific molecular patterns in patients with sepsis and establish prognostic prediction models through multiple machine learning algorithms.

To evaluate the discriminative power of BIS monitoring to classify the degree of mental state associated with the PCT graded sepsis cascade, and to assess its utility for monitoring the improvement or deterioration of sepsis.

The proposed work will provide critical insights into the potential impact of a biomarker-based algorithm on reducing unnecessary antibiotic use in different adult and pediatric/neonatal ICU's. This proposal will also assess the costs (or savings) of a biomarker-based intervention. Overall, the results of this work will be critical in informing future strategies to eliminate unnecessary antibiotic use and curb the continued rise in antimicrobial resistance.

This is an observational study to evaluate the utility of the latest recommendation to define severity of infection for sepsis patients (sepsis-3), and to identify the aetiology and factors associated with outcome of community-acquired sepsis in Northeast Thailand. Potential study participants will be adult patients who are presented at the hospital with community-acquired sepsis. Clinical specimens (including blood, urine, sputum, throat swabs and pus or wound swab) will be collected from each participant on admission for culture, PCR and serological tests, and other laboratory tests. Participants' treatment will be closely monitored during the duration of their hospital stay. Blood will be again collected at 72 hours after admission. Participants will be contacted at 28 days after admission to determine clinical outcome by phone interview with standardized script.

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.