View clinical trials related to Toxemia.
Filter by:Open-label phase 2a Randomized Controlled Trial (RCT) assessing the pharmacokinetics of two different doses of intravenous vitamin C given alongside vitamin B1 in adult medical patients with sepsis and hypotension.
With the opening up of the two-child policy , the composition of pregnant women in China has changed significantly . The proportion of high-risk pregnant women in the elderly has increased significantly , and the risk of adverse pregnancy outcomes has also increased . Among them , gestational diabetes mellitus ( GDM ) is the most common complication during pregnancy . The incidence of GDM in China is as high as 18 % due to the economic growth , lifestyle changes and dietary habits . GDM not only threatens perinatal maternal and child health , but also increases the risk of offspring insulin resistance , obesity and metabolic diseases in adulthood . But it is still lack of experience on intervening and managing them effectively. Therefore , on the basis of previous studies , this study intends to explore the effects of intensive diet and exercise intervention by obstetricians and nutritionists on pregnancy weight gain , pregnancy outcome , glucose and lipid metabolism and postpartum weight retention under the mobile medical platform through a large sample cluster intervention test in the real world. In order to supervise and improve the compliance of the intervention subjects and realize the ultimate change of their behaviors, this study intends to use the APP software, the mobile medical technology, to monitor and evaluate diet , exercise and weight. Through the above research , it aims to improve the current management schemes of diet and weight during pregnancy , not only helps to optimize and improve the quality of perinatal health care , but also prevents the adult chronic diseases from the fetal period. This research has important theoretical and practical value .
This is a single-center prospective bio-specimen analysis and observational study aiming to define immune pathways disrupted in bacterial sepsis and to identify clinically useful biomarkers of immune status.
In recent years, although the clinical treatment of sepsis has been greatly improved, it is still an important cause of death in ICU patients, and seriously threatens human health. Its predictive biomarkers have become one of the bottlenecks in the field of disease diagnosis, treatment and development of effective drugs to reduce incidence rate and mortality. This will eventually become the key point of treatment for patients with sepsis. In the early stage, the investigators have established a single center sepsis database and sepsis animal model, and made a preliminary exploration on the mechanism and treatment of sepsis. Based on the previous results, this study intends to create a national multi center sepsis apparent database and sample bank, collect the data of sepsis patients' injury characteristics, clinical characteristics, biochemical indicators, micro multidimensional and omics results, etiological characteristics, etc., and integrate them. Using big data combined with machine learning method, the early warning and real-time course monitoring model of traumatic sepsis is established. The completion of this project can achieve early warning of sepsis, real-time monitoring of the progress of the disease, early rational allocation of medical care, and reduce the mortality of sepsis patients.
Hypothesis 1A: Oral Administration or Nasal Feeding of Huzhangxiefei Decoction will significantly attenuate sepsis-induced systemic organ failure as measured by overall response rate. Hypothesis 1B: Oral Administration or Nasal Feeding of Huzhangxiefei Decoction will attenuate sepsis-induced lung injury as assessed by the respiratory rate and oxygenation index. Hypothesis 1C: Oral Administration or Nasal Feeding of Huzhangxiefei Decoction will attenuate sepsis-induced lung injury as assessed by chest x-ray scale score, Chinese Medicine scale score. Hypothesis 1D: Oral Administration or Nasal Feeding of Huzhangxiefei Decoction will attenuate biomarkers of inflammation (C-Reactive Protein, Procalcitonin), vascular injury (Thrombomodulin, Angiopoietin-2), alveolar epithelial injury (Receptor for Advanced Glycation Products), while inducing the onset of a fibrinolytic state (Tissue Factor Pathway Inhibitor).
Randomized, unblinded clinical trial of 152 critically ill patients with sepsis admitted to the intensive care unit. The primary determine if using the Venous Excess Ultrasound Score (VExUS) to guide fluid deresuscitation in critically ill patients with sepsis reduces net fluid balance at 5 days as compared to usual care.
In this study, our aim is to investigate the role tranexamic acid in modulating inflammation in patients with sepsis.
Corona Virus Disease or COVID-19 is caused by SARS-CoV-2 virus. There have been reports of serious COVID-19 illness in children. In addition it has been linked to clusters of children presenting with high fevers and inflammation. Sepsis, also called blood poisoning, is an abnormal response of the body to some infections. We aim to conduct research in children under 18 admitted to intensive care unit. Using a systems approach towards mapping the body's immune and metabolic responses to COVID-19 or related illnesses and compare with other sepsis like illnesses.
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.
This Phase IIa Randomized, Double-blind, Parallel Group, Placebo-controlled, multicenter Study to Evaluate Safety, Tolerability, Pharmacokinetics and Efficacy of Multiple Intravenous Injection of SY-005（recombinant human annexin A5） in Sepsis Subjects. 96 patients will be entered into the study and randomised in a 1:1:1:1 ratio to receive SY-005 2.5mg or SY-005 5mg or SY-005 10mg or placebo.