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Sepsis clinical trials

View clinical trials related to Sepsis.

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NCT ID: NCT06368336 Completed - Sepsis Clinical Trials

Health Related Quality of Life After Intensive Care for Sepsis, a National Cohort Study.

Start date: January 1, 2008
Phase:
Study type: Observational [Patient Registry]

The study aims to map the health-related quality of life (HRQoL) after intensive care for Sepsis with the hypothesis that it will be lower than that in the general population. The investigators also want to identify factors that are associated with low HRQoL, to see if those are available for interventions from the health care system and society to improve quality of life after treatment for sepsis in the intensive care unit (ICU).

NCT ID: NCT06365528 Recruiting - Clinical trials for Deep Vein Thrombosis

Tunneled Peripherally Inserted Central Catheter (PICC) in Adult Patients and Associated Outcomes

Start date: May 6, 2024
Phase: N/A
Study type: Interventional

The aim of this multicenter randomized clinical trial is to compare the tunneling technique of PICC insertion with the non-tunneled insertion technique in the incidence of the combined or isolated outcome of catheter-related bloodstream primary infection, thrombosis, obstruction, and accidental dislodgement in the adult population within a period of up to 30 days.

NCT ID: NCT06360770 Completed - Sepsis Clinical Trials

Assessement of Microcirculation With NIRS Predicts Sepsis Development in Patients With Severe Covid-19 Pneumonia

Start date: December 1, 2021
Phase:
Study type: Observational

Sepsis and septic shock are among main causes of death in patients with severe Covid-19 pneumonia. A few factors are proven to predict sepsis in these patients. WIth near infrared spectroscopy it is possible to detect microcirculatory changes typical for sepsis early in the course of disease. The hypothesis that changes in tissue oxygene saturation during vasoocclusive test predict sepsis as well as mortality in mechancally ventilated patients withe severe Covid-19 pneumonia will be tested.

NCT ID: NCT06354452 Completed - Sepsis Clinical Trials

Effect of Statin Therapy on Sepsis-related Mortality in Intensive Care Unit Patients

HGG_UCI1
Start date: January 1, 2018
Phase:
Study type: Observational [Patient Registry]

The average age of patients with sepsis has increased in recent years in parallel with the incidence of sepsis. Many of these patients are frail and require various medications for the treatment of their chronic diseases. Common treatments, including e.g. sarcopenic drugs (statins, sulphonylureas, methyglinides), antioxidants that prevent sarcopenia (allopurinol) or immunoregulators (corticosteroids) may influence the survival and functional prognosis of these patients. Knowing which drugs influence sepsis survival and to what degree patients who survive sepsis have functional deterioration and increased comorbidity and which modifiable factors limit this may be essential.

NCT ID: NCT06344819 Recruiting - Sepsis Clinical Trials

An Acupuncture Study for People At High Risk for Sepsis

Start date: March 20, 2024
Phase: Phase 2
Study type: Interventional

Researchers think acupuncture may improve outcomes for participants with sepsis, based on laboratory studies and previous studies in people with sepsis. The purpose of this study to see whether real acupuncture can improve outcomes for participants with sepsis when compared to sham acupuncture. Sham acupuncture is performed the same way as real acupuncture but will use different needles and target different sites or places on the body than real acupuncture.

NCT ID: NCT06338124 Not yet recruiting - Sepsis Clinical Trials

Value of Laboratory Biomarkers in Prediction of Outcome in Septic Patients

Start date: April 1, 2024
Phase:
Study type: Observational

Sepsis is defined as a dysregulated host response to infection . Despite ongoing efforts, both the incidence and mortality of sepsis have demonstrated limited reductions over the past years,There are several biomarkers that have already been studied for the early diagnosis of sepsis. Some of these markers can be used in risk prediction and monitoring the outcome of sepsis . Some of these markers as procalcitonin and CD14, are costly and not feasible options for low- and middle-income countries . While other biomarkers are feasible and accessible to be evaluated as Triglyceride\glucose index (TyG) , Relative Distributive Width of red blood corpuscles to albumin ratio (RAR), C-reactive protein,Neutrophile \Lympocyte ratio and serum lactate levels .

NCT ID: NCT06338111 Completed - Biomarker Clinical Trials

Can we Improve Mortality Prediction in Patients With Sepsis in the Emergency Department

Start date: November 9, 2020
Phase:
Study type: Observational

This study aims to identify the prognostic role of procalcitonin (PCT), soluble Triggering Receptor Expressed on Myeloid Cells-1 (sTREM-1), the soluble form of the urokinase plasminogen activator receptor (suPAR), highly sensitive C-reactive protein (hs-CRP), Interleukin-6 (IL-6), and azurocidin 1 (AZU1) in 28-day mortality for patients with sepsis in Emergency Department.

NCT ID: NCT06329518 Not yet recruiting - Sepsis Clinical Trials

Rezafungin PK in Patients on ECMO

Start date: April 2024
Phase: Phase 1
Study type: Interventional

Extracorporeal membrane oxygenation (ECMO) is a form of cardiopulmonary life-support for critically ill patients where blood is extracted from the vascular system and circulated by a mechanical pump while it is oxygenated and reinfused into the patient's circulation. It is well known that critically ill patients may experience alterations in antibiotic pharmacokinetics, and as a result, dosing modifications are generally required. There is a need to understand how ECMO circuits affect the pharmacokinetics and disposition of drugs. This study is designed to assess the pharmacokinetics of the new broad-spectrum echinocandin, Rezafungin, in critically ill patients receiving ECMO

NCT ID: NCT06326385 Not yet recruiting - Sepsis Clinical Trials

Machine Learning Predictive Models for Sepsis Risk in ICU Patients With Intracerebral Hemorrhage

Start date: March 30, 2024
Phase:
Study type: Observational

Patients with intracerebral hemorrhage (ICH) in the intensive care unit (ICU) are at heightened risk of developing sepsis, significantly increasing mortality and healthcare burden. Currently, there is a lack of effective tools for the early prediction of sepsis in ICH patients within the ICU. This study aims to develop a reliable predictive model using machine learning techniques to assist clinicians in the early identification of patients at high risk and to facilitate timely intervention. The Medical Information Mart for Intensive Care (MIMIC) IV database (version 2.2) is an international online repository for critical care expertise. This database contains patient-related information collected from the ICUs of Beth Israel Deaconess Medical Center between 2008 and 2019. It includes a vast dataset of 299,712 hospital admissions and 73,181 intensive care unit patients. The eICU Collaborative Research Database (eICU-CRD) comprises data from over 200,000 ICU admissions for 139,367 unique patients across 208 US hospitals between 2014 and 2015, providing a valuable resource for critical care research. This study aims to establish and validate multiple machine learning models to predict the onset of sepsis in ICU patients with ICH and to identify the model with the optimal predictive performance.

NCT ID: NCT06326112 Not yet recruiting - Sepsis Clinical Trials

Role of Active Deresuscitation After Resuscitation:

RADAR-Canada
Start date: May 1, 2024
Phase: Phase 2
Study type: Interventional

The RADAR-Canada trial is a pilot RCT undertaken to assess the acceptability of, compliance with, and biologic consequences of a deresuscitation protocol designed to expedite the removal of excess interstitial fluid in patients who remain in a positive fluid balance following admission to an intensive care unit (ICU).