[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"stroke-volume-variation\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:stroke-volume-variation":30},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,45],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":23,"studyType":24,"phases":4,"briefSummary":25,"conditions":26,"keywords":4,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":33,"lastUpdatePostDateStruct":34,"startDateStruct":37,"completionDateStruct":39,"leadSponsor":41,"locationsCount":44},"100572544","deep-learning-model-for-predicting-a-peripheral-venous-waveform-based-pulse-pressure-variation-100572544",false,"NCT06734650","Deep Learning Model for Predicting a Peripheral Venous Waveform-based Pulse Pressure Variation","Development and Validation of a Peripheral Venous Waveform-based Pulse Pressure Variation Calculating Deep Learning Model","Inclusion Criteria:\n\n* Patients who voluntarily agreed and signed the written informed consent form before participating in this study\n* Adult aged 19 years or older\n* American Society of Anesthesiologists physical class (ASA) 1-3\n* Patients scheduled for elective hepatectomy under general anesthesia\n* Patients who require arterial pressure monitoring and additional peripheral venous access for routine anesthesia preparation\n* Non-smokers with normal pulmonary function\n\nExclusion Criteria:\n\n* Patients with abnormal findings on electrocardiogram before surgery\n* Patients who cannot undergo peripheral venous puncture",true,"ALL","19 Years","80 Years",{"count":21,"type":22},150,"ESTIMATED","1 Day","OBSERVATIONAL","Pulse pressure variation is a monitoring index that indicates the response to fluid therapy in patients receiving mechanical ventilation, and is used as a reference for patients with unstable hemodynamic conditions. However, it is invasive because it requires arterial puncture to collect it. In a previous study by the investigators, the investigators developed and verified an artificial intelligence model that predicts stroke volume variation, in real time using only the central venous pressure waveform. However, since a large vein such as the jugular vein must be punctured to collect the central venous pressure waveform, it is still invasive, and its clinical utility is low. Therefore, in this study, the investigators collected waveforms from peripheral veins that are less invasive and can be a wide range of applications because all surgical patients have them. The investigators aimed to develop and verify an artificial intelligence model that predicts pulse pressure variation obtained from peripheral venous waveforms .",[27,28,29,30,31],"Peripheral Vein","Arterial Wave Reflections","Pulse Pressure Variation","Stroke Volume Variation","Deep Learning Model","NOT_YET_RECRUITING","2024-12-12",{"date":35,"type":36},"2024-12-16","ACTUAL",{"date":38,"type":22},"2024-12-28",{"date":40,"type":22},"2026-11-28",{"name":42,"class":43},"Seoul National University Bundang Hospital","OTHER",1,{"id":46,"slug":47,"hasResults":11,"nctId":48,"briefTitle":49,"officialTitle":50,"acronym":4,"eligibilityCriteria":51,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":52,"targetDuration":23,"studyType":24,"phases":4,"briefSummary":53,"conditions":54,"keywords":4,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":33,"lastUpdatePostDateStruct":56,"startDateStruct":58,"completionDateStruct":59,"leadSponsor":60,"locationsCount":44},"100572447","peripheral-venous-pressure-variation-pulse-pressure-variation-and-pleth-variability-index-for-fluid-responsiveness-100572447","NCT06733389","Peripheral Venous Pressure Variation, Pulse Pressure Variation and Pleth Variability Index for Fluid Responsiveness","Comparison of Peripheral Venous Pressure Variation, Pulse Pressure Variation and Pleth Variability Index in Predicting Fluid Responsiveness","Inclusion Criteria:\n\n* Patients voluntarily agreed and signed the written informed consent form before participating in the study\n* Adults aged 19 years or older\n* American Society of Anesthesiologists physical class (ASA) 1-3\n* Patients scheduled for elective hepatectomy under general anesthesia\n* Patients who require arterial pressure monitoring and additional peripheral venous access for routine anesthesia preparation\n* Non-smokers with normal pulmonary function\n\nExclusion Criteria:\n\n* Patients with abnormal findings on electrocardiogram before surgery\n* Patients who cannot undergo peripheral venous puncture",{"count":21,"type":22},"Pulse pressure variation (PPV) and pleth variability index (PVI) are widely used in clinical practice as indicators of the responsiveness to fluid therapy in patients receiving mechanical ventilation. PPV, which measures changes in arterial pressure, requires arterial puncture, which is invasive, and PVI, which detects subtle changes in oxygen saturation, requires an expensive, commercial monitoring equipment. In this study, we aimed to measure peripheral venous pressure variation using less invasive waveform variation in peripheral veins and to determine whether this indicator can be clinically used to predict the responsiveness to fluid therapy. In addition, the investigators aimed to confirm the superiority of the indicators by comparing them with the responsiveness to fluid therapy of the PPV and PVI.",[29,30,55],"Pleth Variability Index",{"date":57,"type":36},"2024-12-17",{"date":38,"type":22},{"date":40,"type":22},{"name":42,"class":43}]