[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100531656":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":25,"locations":34,"responsibleParty":81,"collaborators":10,"id":84,"slug":85,"hasResults":86,"nctId":87,"briefTitle":88,"officialTitle":89,"acronym":10,"eligibilityCriteria":90,"healthyVolunteers":86,"sex":91,"minAge":92,"maxAge":10,"enrollmentInfo":93,"targetDuration":96,"studyType":97,"phases":10,"briefSummary":98,"conditions":99,"keywords":101,"overallStatus":55,"whyStopped":10,"lastUpdateSubmitDate":106,"lastUpdatePostDateStruct":107,"startDateStruct":110,"completionDateStruct":112,"leadSponsor":114,"locationsCount":115},{"fullName":5,"class":6},"John Paul II Hospital, Krakow","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"The arterial pressure and HPI course in 7 time-windows cohorts in one-lung ventilated patients",null,"60 consecutive adult patients qualified for open-chest lung resection procedures under general anesthesia with one-lung ventilation will be monitored during the operation using standard invasive hemodynamic monitoring with arterial pressure transducer and concomitantly with HemoSphere monitor with the HPI software attached to the Acumen IQ transducer (Edwards LifeSciences, Irvine, CA, USA). The clinicians will be blinded to the output of the HemoSphere monitor. Hemodynamic waveforms and HPI prediction data will be recorded from the time of arterial cannula insertion until leaving the operation room. HPI values and intraoperative hemodynamic course including intraoperative hypotensive events (IOH) will be recorded at all stages of the procedure.",[13],"Device: HemoSphere monitor with Acumen Hypotension Prediction Index Software",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"DEVICE","HemoSphere monitor with Acumen Hypotension Prediction Index Software","Two concomitant courses of intraoperative data will be recorded: 1. the arterial waveform and pressure on the standard hemodynamic patient monitor and 2. the data from the HemoSphere monitor with Acumen Hypotension Prediction Index Software",[9],[21],{"name":22,"affiliation":23,"role":24},"Mirosław Ziętkiewicz, MD, PhD","2nd Anesthesiology and Intensive Care Unit, John Paul II Hospital, Prądnicka St. 80, Kraków, Poland","PRINCIPAL_INVESTIGATOR",[26,30],{"name":22,"role":27,"phone":28,"phoneExt":10,"email":29},"CONTACT","+48 609 668 145","mjzietkiewicz@gmail.com",{"name":31,"role":27,"phone":32,"phoneExt":10,"email":33},"Szymon Białka, MD, PhD","+48 606 493 210","szymon.bialka@gmail.com",[35,53,68],{"facility":36,"status":37,"city":38,"state":10,"zip":39,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"Faculty of Medicine, NKUA Attikon University Hospital","NOT_YET_RECRUITING","Athens","12462","Greece","GR",{"type":43,"coordinates":44},"Point",[45,46],23.72784,37.98376,{"lat":46,"lon":45},[49],{"name":50,"role":27,"phone":51,"phoneExt":10,"email":52},"Tatiana Sidiropoulou, MD, PhD","+30 21 0583 2374","tatianasid@gmail.com; tsidirop@med.uoa.gr",{"facility":54,"status":55,"city":56,"state":57,"zip":58,"country":59,"countryCode":60,"cosmosGeoPoint":61,"geoPoint":65,"contacts":66},"St. John Paul II Hospital in Krakow","RECRUITING","Krakow","Małopolska","31-202","Poland","PL",{"type":43,"coordinates":62},[63,64],19.93658,50.06143,{"lat":64,"lon":63},[67],{"name":22,"role":27,"phone":28,"phoneExt":10,"email":29},{"facility":69,"status":55,"city":70,"state":71,"zip":72,"country":59,"countryCode":60,"cosmosGeoPoint":73,"geoPoint":77,"contacts":78},"Department of Anesthesiology and Intensive Therapy; Department of Pain Research and Treatment, Faculty of Medical Sciences Zabrze","Zabrze","Silesian Voivodeship","40-055",{"type":43,"coordinates":74},[75,76],18.78576,50.32492,{"lat":76,"lon":75},[79],{"name":80,"role":27,"phone":32,"phoneExt":10,"email":33},"Szymon Białka, MD PhD",{"type":24,"investigatorFullName":82,"investigatorTitle":83,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Mirosław Ziętkiewicz","Principal Investigator; Head of the Anesthesia and Intensive Care Unit","100531656","hypotension-prediction-index-hpi-in-lung-resections-100531656",false,"NCT06202638","Hypotension Prediction Index (HPI) in Lung Resections","An Observational, Prospective, Non-randomized Multi-centre Cohort Feasibility Study of the Hypotension Prediction Index (HPI) in Patients Undergoing Lung Resections With the Use of One-lung Ventilation.","Inclusion Criteria:\n\n* American Society of Anesthesiologists (ASA) physical status II to IV;\n* Planned invasive blood pressure monitoring during general anesthesia expected to last more than 2 hours and planned overnight hospitalization.\n* Procedures: video-assist thoracoscopic (VATS)-lobectomy, open-thoracotomy lobectomy, pneumonectomy.\n* Adults over 18 years old.\n\nExclusion Criteria:\n\n* Urgent\u002Femergency procedures.\n* Patients with known clinically important intracardiac shunts.\n* Moderate to severe valvular disease.\n* Preoperative symptomatic arrhythmias including AF.\n* Congestive heart failure with LV ejection fraction less than 35%.\n* Refusal of participation","ALL","18 Years",{"count":94,"type":95},60,"ESTIMATED","1 Day","OBSERVATIONAL","Perioperative hypotension is a risk factor for perioperative complications. Advances in machine learning and artificial intelligence have produced an algorithm that predicts the occurrence of hypotension episodes by analyzing an arterial pressure waveform. This technology has not been validated in thoracic surgical patients undergoing lung resections with the use of one-lung ventilation (OLV). We planned an observational, prospective multi-centre cohort validation study of the Hypotension Prediction Index (HPI) in patients undergoing lung resection procedures with the use of one-lung ventilation and a lung-protective strategy.",[100],"Intraoperative Hypotension",[102,103,104,105],"Hypotension","One Lung Ventilation","Intelligence","Artificial","2025-08-07",{"date":108,"type":109},"2025-08-12","ACTUAL",{"date":111,"type":109},"2023-11-11",{"date":113,"type":95},"2025-12-31",{"name":5,"class":6},3]