Clinical Trials Logo

Risk Factors clinical trials

View clinical trials related to Risk Factors.

Filter by:
  • Not yet recruiting  
  • Page 1

NCT ID: NCT06340178 Not yet recruiting - Pneumothorax Clinical Trials

CT-guided Lung Biopsy Risk Optimization Method

BROM-I
Start date: April 1, 2024
Phase: N/A
Study type: Interventional

The purpose of this randomized controlled study is to evaluate the extent to which injection of a small amount of fluid in the pleural cavity at the biopsy site may reduce the risk of pneumothoraces, in addition to patient positioning to allow biopsy in gravity-dependent areas of the lung.

NCT ID: NCT06288724 Not yet recruiting - Critical Illness Clinical Trials

MOdifiable facTors to Improve VentilAtion ThErapy in ICU

MOTIVATE-ICU
Start date: March 2024
Phase:
Study type: Observational [Patient Registry]

ABSTRACT Introduction: Invasively ventilated patients in low and middle-income countries (LMICs) experience significantly higher mortality compared to those in High income countries (HICs). Direct application of HIC strategies to LMICs maybe ineffective due to context-specific challenges. This study aims to leverage the Intensive Care Registry of Uganda (ICRU) to identify ICU structural and process-related modifiable factors that impact patient outcomes in a low income country. Methods: The MOTIVATE-ICU is a prospective multicentre observational study in invasively ventilated patients. It involves a registry-embedded component examining patient- and process-related factors and a cross-sectional survey on ICU organizational structures. Inclusion criteria encompass patients aged ≥ 15 years undergoing IMV in Ugandan ICUs. Primary outcomes are ICU mortality, ICU length of stay (LOS), and duration of ventilation. Secondary outcomes include ventilator-associated complications, non-pulmonary organ support. tTracheostomy outcomes will be explored in a pre-planned substudy. Factors potentially associated with outcomes will be categorized into two groups; non-modifiable factors and potentially modifiable. Non-modifiable factors will include patient-related factors like age, comorbidities and illness severity; potentially modifiable factors include processes of care (e.g. sedation levels) and ICU organizational structure (e.g. staffing patterns). Multilevel multivariable logistic regression will be utilized to study associations, with both patient and ICU level fixed effects considered. Ethics and Dissemination: Given its observational nature, this study seeks a waiver for patient individual informed consent. Data anonymization ensures patient privacy. Following the principles of the Declaration of Helsinki, relevant ethical approvals will be acquired. Study findings will be disseminated through conferences and peer-reviewed journals.

NCT ID: NCT06118437 Not yet recruiting - Risk Factors Clinical Trials

Establishment and Validation of a Clinical Predictive Model for Gastrointestinal Cancer Screening Based on Patient-related Risk Factors

Start date: November 15, 2023
Phase:
Study type: Observational

Gastrointestinal tumors (esophageal cancer, gastric cancer, colorectal cancer) seriously threaten human health, with a high incidence rate and cancer related hope mortality. Digestive endoscopy is the main method for screening gastrointestinal tumors. Early screening of gastrointestinal tumors can improve the detection of early cancer and improve prognosis. The five-year survival rate of early stage tumors after comprehensive treatment can reach 90%, while the five-year survival rate of late stage tumors is less than 30%. Therefore, the screening of gastrointestinal tumors is very important. Studies have shown that there are similarities in risk factors for gastrointestinal tumors, such as age, gender, family history, smoking, alcohol consumption, etc. Currently, established digestive malignancies are targeted at a single malignant tumor. At present, there is a lack of understanding of the overall risk factors associated with gastrointestinal tumors and the establishment of relevant risk prediction models. Therefore, we conducted a prospective, multicenter cross-sectional study to explore the independent risk factors of combined gastrointestinal tumors and establish a risk prediction model for combined screening of gastrointestinal tumors.

NCT ID: NCT05752058 Not yet recruiting - Clinical trials for Liver Transplantation

Risk Factors for Early Acute Lung Injury After Liver Transplantation in Children

Start date: August 1, 2023
Phase:
Study type: Observational

The goal of this observational study is to identify the risk factors for early acute lung injury (ALI) after liver transplantation in children .The main questions it aims to answer are what the risk factors are for early ALI in children and to evaluate the predictive value for the development of ALI.Participants will be divided into non-ALI group and ALI group according to whether they had ALI in a week after liver transplantation.Researchers will compare the difference between the two groups and use multivariate logistic regression analysis to screen the risk factors of ALI, and receiver operating characteristic(ROC) curve was used to evaluate the predictive efficacy of risk factors.

NCT ID: NCT05564975 Not yet recruiting - Pressure Injury Clinical Trials

Construction and Application of Pressure Injury Risk Prediction Model for Critically Ill Patients

Start date: October 1, 2022
Phase:
Study type: Observational [Patient Registry]

In the previous investigation, investigators found that when the risk factors of stress injury in critical patients changed, clinical nurses lacked the awareness of evaluating the risk of stress injury, and lacked the risk assessment of this link. The stress risk prediction model is based on etiology. By analyzing the risk factors, the machine learning algorithm is used to evaluate the risk of pressure damage, and the prediction model of pressure damage can dynamically and comprehensively evaluate its risk. It is also a risk assessment tool. At present, there is no research on applying the stress injury risk prediction model of critical patients to the intensive care information software in China. In this study, the artificial intelligence algorithm library will be used to construct and apply the stress injury risk prediction model for critical patients.

NCT ID: NCT05519657 Not yet recruiting - Risk Factors Clinical Trials

Incidence and Risk Factors of PPCs in Elderly Patients Undergoing Robot Assisted Laparoscopic Pelvic Surgery

Start date: October 1, 2022
Phase:
Study type: Observational

Postoperative pulmonary complications are important factors affecting the prognosis of patients undergoing surgery. Studies have shown that patients undergoing abdominal or pelvic surgery, emergency surgery, or prolonged surgery are more likely to develop PPCs, especially when robot-assisted laparoscopic surgery is performed at extreme head low. The incidence of PPCs and associated risk factors in patients undergoing robot-assisted laparoscopic surgery compared with those undergoing conventional surgery should be re-examined.

NCT ID: NCT05473403 Not yet recruiting - Risk Factors Clinical Trials

Validation of a Prognostic Score for Steroid Therapy Response in Acute Severe Autoimmune Hepatitis

PRO-SURFASA
Start date: June 1, 2024
Phase: N/A
Study type: Interventional

Autoimmune hepatitis (AIH) is a chronic liver disease, which is characterized by the increase of immunoglobulin G (IgG) level, the presence of auto-antibodies and a typical histology, in the absence of other liver disease. Due to the heterogeneity of AIH manifestations, different scoring systems have been validated in order to make a reliable diagnosis. The two most recent scoring systems are: the revised International Autoimmune Hepatitis Group (IAIHG) criteria and the IAIHG simplified criteria. The second one is recommended by the European Association for the Study of the Liver (EASL) clinical practice guidelines (CPGs). The EASL clinical practice guidelines suggests that the treatment of ASAIH (Acute Severe AIH) is high doses of corticosteroids (superior to 1mg/kg/day) as early as possible and a lack of improvement within seven days should lead to listing for emergency liver transplantation (LT). However, the "lack of improvement" is not objectively defined and the grading of recommendation is III (Opinions of respected authorities). The hypothesis of the study is that the previously developed decisional score on a retrospective series will prospectively allow the differentiation between patients with ASAIH (Acute Severe AIH) who respond to corticosteroid therapy and should be maintained on treatment and patients who do not respond and should be rapidly evaluated for LT. The score will be computed at day 3 since corticosteroid introduction.