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Active clinical trials for "Critical Illness"

Results 251-260 of 1449

Microecology and Host Immunity in Patients With Severe COVID-19 Infection

Microbiome,Immune FunctionCritically Ill

The purpose of this study was to analyze the relationship between the microbial community, host immunity and the prognosis of patients with severe COVID-19.

Recruiting12 enrollment criteria

Impact and Sequelae of High Ventilatory Drive in Critically Ill COVID-19 Patients

COVID-19Critical Illness3 more

Critically ill COVID-19 patients with acute respiratory failure, in the intensive care unit (ICU), often feature high respiratory drive, determining large inspiratory efforts resulting in high pressures and global and regional over-distention, leading to lung injury. SARS-CoV-2 neurotropic-penetration in control centers in medulla oblongata might contribute to dysregulation and to excessively high respiratory drive observed in these patients. These pathophysiological conditions may often lead to the development of patient-ventilator asynchronies in aptients under mechanical ventilation, again leading to high tidal volumes and increased lung injury. These phenomena can contribute to prolonged duration of mechanical ventilation and ICU length of stay, but also can result in long term adverse outcomes like emotional/psychological and cognitive sequelae. All them compromising the quality of life of critically ill survivors after ICU discharge. The investigators will conduct a multicenter study in adult critically ill COVID-19 patients with hypoxemic respiratory failure, aiming to: 1) characterize incidence and clustering of high respiratory drive by developing algorithms, 2) apply artificial intelligence in respiratory signals to identify potentially harmful patient-ventilator interactions, 3) characterize cognitive and emotional sequelae in critically ill COVID-19 survivors after ICU discharge and 4) identify sets of genes and transcriptomic signatures whose quantified expression predisposed to asynchronies and cognitive impairment in critically ill COVID-19 patients.

Recruiting4 enrollment criteria

Acute Gastrointestinal Injury in Pediatrics

Acute Gastrointestinal InjuryGastrointestinal Failure1 more

Critically Ill children may develop acute gastrointestinal injury secondary to severe inflammation.

Recruiting3 enrollment criteria

Immune Dysfunction in Critical Illness: Utility of a Panel of Genes and Molecules Involved in the...

Critical Illness

Critical illnesses represent a significant physiological assault that triggers changes in the patient's immune system, resulting in an immunopotentiating response (systemic inflammatory response syndrome, SIRS) and an immunosuppressive response (compensatory anti-inflammatory response syndrome, CARS). The balance between SIRS and CARS is essential for the patient to return to a state of immune homeostasis and accelerate the healing process. However, when CARS is disproportionately intense, it leads to a state of immunoparalysis, which predisposes the patient to vulnerability to opportunistic infections, associated with a peak in late mortality. The majority of patients admitted to the ICU are considered immunocompetent. However, the investigators suspect that a significant proportion of them exhibit predominance of CARS and a state of functional immunosuppression. There is currently no diagnostic test to determine whether a patient is functionally immunocompetent at a specific point in time. The goal of this observational study is to learn about the immune system dysfunction occurring in critical illness. The main questions it aims to answer are: What is the prevalence of immune system dysfunction in critical illness? Does immune system dysfunction affect multiple organ failure trajectory and mortality in critical illness? Is immune system dysfunction related to an increased risk of opportunistic hospital-acquired infections in critical illness? Is immune system dysfunction related to age, fragility, nutritional status or previous comorbidities in critical illness? To answer these questions, the investigators will prospectively study a population of critically ill patients, defined by the presence of organ failure. The investigators will analyse a panel of genes and molecules involved in immunological synapse, using peripheral blood samples at different moments of the evolution of critical illness. Based on the analysis, the investigators will classify the patients' functional immune status and correlate it with the outcomes.

Recruiting7 enrollment criteria

Body Composition Study in Critically Ill Patients-Extended to COVID-19

Critical IllnessCovid192 more

Muscle loss (ultrasound quadricep muscle) and muscle strength (handgrip and knee extension strength) will be compared between COVID-19 and non COVID-19 critically ill patients.

Recruiting5 enrollment criteria

Adult Intensive Care Units Database of National Taiwan University Hospital

Critical Illness

Australian and New Zealand Intensive Care Society (ANZICS) has built an Center of Outcome and Resource Evaluation (CORE) adult patients database (APD) of adult critically ill patients. ANZICS CORE APD has built an international collaboration of intensive care unit (ICU) database. National Taiwan University Hospital has joined this international collaboration and built the data according to the APD data dictionary with same value domain attributes and data element attributes. This database also add expansion of data include hourly vital signs data, more laboratory data, more diagnoses at admission and discharge, data after 24 hours till discharge, and extended information of clinical outcomes more than 30 days after admission to ICU . This database will retrospectively collect the data of patients discharged from intensive care after March 1, 2019 and will prospectively continue the retrospective collection of data till the patients discharged before June 30, 2043. The data will be used for the evaluation of quality and resource allocation, quality improvement, education of data science, datathon, and research to predict the clinical outcomes and assist the treatment strategies.

Recruiting2 enrollment criteria

Microvascular Monitoring in Circulatory Shock and Sepsis (MiMICSS)

SepsisShock1 more

Investigation of the feasibility of using near-infrared spectroscopy (NIRS) to monitor microvascular function in critically ill patients.

Recruiting10 enrollment criteria

A Prospective Longitudinal Mixed Study on the Change Track of Sleep Quality in Critically Ill Children...

Critical IllnessChild1 more

This research adopts the uniform parallel hybrid research design; The quantitative data and qualitative data were collected at the same time, and then the quantitative and qualitative data were analyzed respectively. Finally, the two data sets were combined. Comprehensive interpretation of the study issues through complementarity and mutual validation of quantitative and qualitative data.

Recruiting7 enrollment criteria

Intensive Care Decision-making, Survival and Dying Well

Critical Illness

The goal of this study is to investigate how the experiences of intensive care patients and their end-of-life wishes affect their willingness to accept intensive care treatment at different chances of survival. The main questions it aims to answer are: What can ICU survivors' experiences of ICU treatment tell us about what it would be like to die whilst receiving ICU treatment? How do ICU survivors' reflections about what it might be like to die on ICU relate to their own preferences for their end-of-life care? What chance of survival would make ICU survivors willing to go through ICU treatment again, in light of the fact that the alternative chance is dying whilst experiencing ICU treatment? How does the possibility of reduction in health-related quality of life and functional decline as a result of critical illness impact ICU survivors' willingness to accept ICU treatment again? Participating in this study will involve filling out a questionnaire and then taking part in an interview. Participants will be recruited through ICU review clinics and ICU steps groups. The study will last for two years and will be conducted at locations convenient to the participants or via zoom.

Recruiting3 enrollment criteria

Database for Predicting Clinical Outcomes of Critically Ill Patients

Critical Illness

Australian and New Zealand Intensive Care Society (ANZICS) has built a Center of Outcome and Resource Evaluation (CORE) adult patients database (APD) of adult critically ill patients. ANZICS CORE APD has built an international collaboration of ICU database. National Taiwan University Hospital has joined this international collaboration and built the data according to the APD data dictionary with same value domain attributes and data element attributes. We retrospectively collected the data of patients discharged from the March 1, 2019 to June 30, 2022. Data of this database are permitted to study clinical problems and predict the clinical outcomes of these critically ill patients using statistical methods and machine learning techniques.

Recruiting2 enrollment criteria
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