View clinical trials related to Risk Assessment.
Filter by:By collecting non-image medical data of women undergoing cervical screening in multiple centers in China, including age, HPV infection status, HPV infection type, TCT results, and colposcopy biopsy pathology results, a multi-source heterogeneous cervical lesion collaborative research big data platform was established. Based on artificial intelligence (AI) machine learning, cervical lesion screening features are refined, a multi-modal cervical cancer intelligent screening prediction and risk triage model is constructed, and its clinical application value is preliminarily explored.
Preoperative risk assessment (an evaluation of overall health before surgery) is important to determine the overall risk of mortality and complications for patients undergoing major abdominal surgery to allow the appropriate allocation of sparse hospital resources. The current gold standard for preoperative assessment is cardiopulmonary exercise testing (CPET). CPET is, however, not available in all centres that perform major surgery, it is a costly test, and therefore only high-risk patients are tested. Finding new ways of conducting preoperative assessment could improve overall surgical safety, patient experience and reduce cost. The preoperative use of remote vital signs monitoring can provide important information about the patients' fitness and overall health and may be used for preoperative assessment. This study will use a remote monitoring patch to monitor patients' vital signs before surgery. The aim is to evaluate the utility and patient acceptability of the remote monitoring system and the feasibility of a randomised controlled trial of this type of assessment. Additionally, the study will assess the correlation between the data captured by the remote monitoring system and the CPET results to evaluate the remote monitoring system's ability to predict risk of surgery. The study will take place in Leeds Teaching hospitals. Adult patients undergoing major abdominal surgery that require CPET before surgery are eligible. Participants will be monitored at home with the patch monitor for 3-5 days before surgery, in addition to their planned preoperative assessment. During remote monitoring, patients will be asked to complete questionnaires on their general health and experience using the patch paired with the mobile phone as part of the monitoring system. Clinical data from the electronic hospital records and general practitioner records available on the trust system will then be collected after surgery to assess complications and calculate risk scores.
Validation of Clinical Prediction Model for Venous Thromboembolism Following Neurosurgery: A Multicenter, Prospective, and Cohort Study
The goal of this observational study is to establish and verify the Chinese version of surgical risk assessment system and explore its clinical application. The main questions it aims to answer are: The process of establishing a Chinese version of surgical risk assessment system; What is the accuracy of the system; How can the system be used in clinic; How does this system compare with other systems (such as NSQIP). Participants will comprehensively collect the general information, examination and pathological information of the patients, using machine learning and artificial intelligence methods for data processing. Finally, the Chinese version of the surgical risk assessment system will be established. After the system is established, investigators will evaluate the accuracy of the system and compare it with other related systems.
Arrhythmias are considered a prominent phenomenon in pulmonary hypertension (PH) as the disease progresses. According primarily to retrospective studies with up to 24 hours of monitoring, supraventricular tachycardias (SVT) can be found in 8-35% of patients, with significant impact on survival. Furthermore, a few prospective studies to date deploying short-term monitoring (10 minutes-24 hours) have revealed lower heart rate variability (HRV) in patients with pulmonary arterial hypertension (PAH). In ASPIRE arrhythmias and heart rate variability is being assessed via long term monitoring. Currently the the loop-recorder is considered the gold standard for long-term continuous cardiac montoring. A non-invasive continuous monitoring could be of a great benefit for the patients, and could potentially contribute to treatment optimization. The study will assess apple watches as a non-invasive tool compared to to the loop recorder, which is considered as the current gold standard. Additionally, the study seeks to assess apple watches for monitoring as an independent wearable for risk assessment in PH.
The RAD study is a longitudinal study to prospectively characterize the biological mechanisms of resilience in adolescents and young adults at risk for developing depression. The study will capture biomarkers from the domains of socio-demographic and clinical data, cognitive and psychological assessments, fluid-based biomarkers, neuroimaging and EEG. Such biomarkers will compose a human biosignature of resilience and identify risk factors for depression, contributing to effective treatment selection or may represent moderators of response or non-response to treatments in subjects with depression. A cohort of 1,500 participants, age 10-24 will be recruited over a 5 year period. Participants will be followed for 10 years following an initial baseline visit. Study visits are conducted 4 times per year.
The aim of this study is to overcome the current limits of the scoring systems used to predict both the thrombotic (VTE) and hemorrhagic (BLD) risk for the patient. The main problem of these scoring systems is due to the high rigidity related to the score assigned at each risk item. The presence of an item assigns the full score for that item, without the possibility to moderate that item's score. The final class of risk, for the patient, is the sum of the scores of the selected items. The approach used for the assessment is based on the presence or absence of certain items that will be summed. Starting from scoring system currently used for VTE (PADUA, CAPRINI, KHORANA) and also for BLD (IMPROVE), we will integrate all common items in a single scoring system managed by risk management algorithms that can identify the different classes of risk.
This prospective cohort study aims to determine whether the addition of the 6MWT to the RCRI score improves the risk prediction of postoperative cardiovascular outcomes after noncardiac surgery. In addition, this study will assess whether the patients' reported MET score corresponds to the determined MET score from the 6MWT distance completed.