[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"trial:NCT06452797":3,"trial-entities:NCT06452797":124,"trial-summary:NCT06452797":127},{"id":4,"nct_id":4,"org_study_id":5,"brief_title":6,"official_title":7,"overall_status":8,"completion_date":9,"status_verified_date":10,"last_update_date":11,"start_date":12,"sponsor_name":13,"lead_sponsor_class":14,"has_dmc":15,"brief_summary":16,"detailed_description":17,"conditions":18,"keywords":20,"study_type":21,"primary_purpose":22,"phases":23,"enrollment_info":25,"interventions":28,"primary_outcomes":35,"secondary_outcomes":40,"sex":54,"minimum_age":17,"maximum_age":17,"healthy_volunteers":15,"eligibility_criteria":55,"std_ages":62,"locations":66,"central_contacts":105,"overall_officials":108,"references":109,"see_also_links":123},"NCT06452797","24030801","Prognostic Estimates Among ICU Clinicians","Prognostic Estimates Among ICU Clinicians Caring for Patients Requiring Prolonged Mechanical Ventilation","RECRUITING","2027-06-15","2025-09","2025-09-17","2024-06-18","Rush University Medical Center","OTHER",false,"One challenge with decision making for mechanically ventilated is that their prognosis is often uncertain. The ProVent-14 score incorporates clinical variables measured on the 14th day of mechanical ventilation to predict risk of death in one year. The ProVent-14 is easy to calculate has been externally validated. However, it is unclear how often clinicians use the ProVent-14 score to predict long-term outcomes for patients requiring 14 days of mechanical ventilation or if it helps clinicians make more accurate predictions. The purpose of this study is to determine whether ICU clinicians who receive a patient's ProVent-14 score make more accurate predictions for mortality at one year than ICU clinicians who do not.",null,[19],"Mechanical Ventilation",[],"INTERVENTIONAL","HEALTH_SERVICES_RESEARCH",[24],"NA",{"count":26,"type":27},238,"ESTIMATED",[29],{"type":30,"name":31,"description":32,"armGroupLabels":33},"BEHAVIORAL","ProVent-14 score","A score to estimate one-year mortality for patients requiring at least 14 days of mechanical ventilation",[34],"ProVent-14 Guided Prognostic Approach",[36],{"measure":37,"description":38,"timeFrame":39},"Accuracy of one-year mortality rate predictions","Associations between participant predictions (0-100% risk of death) and patient outcomes (death or not) will be determined using logistic regression. Accuracy will be determined by Area Under the Receiver Operating Characteristic (AUROC) analysis.","One-year after participant enrollment",[41,45,48,51],{"measure":42,"description":43,"timeFrame":44},"Confidence in prediction","1-10 scale, 10 being most confident","Upon enrollment",{"measure":46,"description":47,"timeFrame":44},"Comfort communicating prognosis to patient\u002Fsurrogate","1-10 scale, 10 being most comfortable",{"measure":49,"description":50,"timeFrame":44},"Recommendation to transition to comfort-focused care","Yes or No",{"measure":52,"description":53,"timeFrame":39},"Accuracy of timing of patient death","Participants who predict the patient has a \\\u003C50% chance of survival will be asked to predict the month the patient will pass away","ALL",{"inclusion":56,"exclusion":59,"raw_text":61},[57,58],"ICU day-shift attending physician, fellow physician, advanced practice provider, or nurse","Caring directly for a patient who requires invasive mechanical ventilation, 14-16 days after initial intubation, not actively transitioning to comfort-focused care and not with a neuromuscular disease (i.e. ALS) as a cause of respiratory failure.",[60],"None","Inclusion Criteria:\n\n* ICU day-shift attending physician, fellow physician, advanced practice provider, or nurse\n* Caring directly for a patient who requires invasive mechanical ventilation, 14-16 days after initial intubation, not actively transitioning to comfort-focused care and not with a neuromuscular disease (i.e. ALS) as a cause of respiratory failure.\n\nExclusion Criteria:\n\n* None",[63,64,65],"CHILD","ADULT","OLDER_ADULT",[67,81,89],{"facility":13,"status":8,"city":68,"state":69,"zip":70,"country":71,"contacts":72,"geoPoint":78},"Chicago","Illinois","60612","United States",[73],{"name":74,"role":75,"phone":76,"email":77},"Jared A Greenberg, MD","CONTACT","312-942-6744","jared_greenberg@rush.edu",{"lat":79,"lon":80},41.85003,-87.65005,{"facility":82,"status":83,"city":84,"state":69,"zip":85,"country":71,"geoPoint":86},"Rush Oak Park Hospital","ACTIVE_NOT_RECRUITING","Oak Park","60304",{"lat":87,"lon":88},41.88503,-87.7845,{"facility":90,"status":8,"city":91,"state":92,"zip":93,"country":71,"contacts":94,"geoPoint":102},"University of North Carolina","Chapel Hill","North Carolina","27599",[95,99],{"name":96,"role":75,"phone":97,"email":98},"David Y Hwang, MD","919-966-8178","david_hwang@med.unc.edu",{"name":100,"role":101},"David Y Hwang","PRINCIPAL_INVESTIGATOR",{"lat":103,"lon":104},35.9132,-79.05584,[106],{"name":107,"role":75,"phone":76,"email":77},"Jared Greenberg, MD",[],[110,114,117,120],{"pmid":111,"type":112,"citation":113},"30690645","BACKGROUND","Cox CE, White DB, Hough CL, Jones DM, Kahn JM, Olsen MK, Lewis CL, Hanson LC, Carson SS. Effects of a Personalized Web-Based Decision Aid for Surrogate Decision Makers of Patients With Prolonged Mechanical Ventilation: A Randomized Clinical Trial. Ann Intern Med. 2019 Mar 5;170(5):285-297. doi: 10.7326\u002FM18-2335. Epub 2019 Jan 29.",{"pmid":115,"type":112,"citation":116},"28528347","Detsky ME, Harhay MO, Bayard DF, Delman AM, Buehler AE, Kent SA, Ciuffetelli IV, Cooney E, Gabler NB, Ratcliffe SJ, Mikkelsen ME, Halpern SD. Discriminative Accuracy of Physician and Nurse Predictions for Survival and Functional Outcomes 6 Months After an ICU Admission. JAMA. 2017 Jun 6;317(21):2187-2195. doi: 10.1001\u002Fjama.2017.4078.",{"pmid":118,"type":112,"citation":119},"26247337","Hough CL, Caldwell ES, Cox CE, Douglas IS, Kahn JM, White DB, Seeley EJ, Bangdiwala SI, Rubenfeld GD, Angus DC, Carson SS; ProVent Investigators and the National Heart Lung and Blood Institute's Acute Respiratory Distress Syndrome Network. Development and Validation of a Mortality Prediction Model for Patients Receiving 14 Days of Mechanical Ventilation. Crit Care Med. 2015 Nov;43(11):2339-45. doi: 10.1097\u002FCCM.0000000000001205.",{"pmid":121,"type":112,"citation":122},"30385535","Buehler AE, Ciuffetelli IV, Delman AM, Kent SA, Bayard DF, Cooney E, Halpern SD, Detsky ME. Contributors to Intensive Care Unit Clinicians' Predictions of Patient Outcomes: A Qualitative Analysis. Am J Crit Care. 2018 Nov;27(6):445-453. doi: 10.4037\u002Fajcc2018100.",[],{"nct_id":4,"conditions":125,"biomarkers":126},[19],[],{"nct_id":4,"found":128,"summary":129,"prompt_version":138},true,{"design":130,"status":131,"heading":6,"summary":132,"follow_up":133,"word_count":134,"commitments":135,"compensation":136,"drugs_mentioned":137},"This is an interventional study with a planned enrollment of 238 participants. It aims to compare predictions made by clinicians who receive the ProVent-14 score with those who do not.","completed","This study is looking at how well intensive care unit (ICU) doctors, nurses, and other providers can predict a patient's chance of dying within one year after being on a breathing machine (mechanical ventilation) for at least 14 days. It's testing if using a tool called the ProVent-14 score helps clinicians make more accurate predictions. The ProVent-14 score uses information gathered on the 14th day of mechanical ventilation to estimate this risk. You could be eligible if you are an ICU day-shift attending physician, fellow physician, advanced practice provider, or nurse directly caring for a patient on a breathing machine for 14-16 days, who is not actively moving towards comfort care or has a neuromuscular disease.","The study measures the accuracy of one-year mortality rate predictions, so participants are followed for one year after enrollment.",116,"Not specified in the trial record.","Not stated in the trial record.",[31],"v2"]