Machine Learning Model for Perioperative Transfusion Prediction
NCT ID: NCT05228548
Last Updated: 2022-03-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
6121 participants
OBSERVATIONAL
2022-01-13
2022-02-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Interventions
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Perioperative blood transfusion
Perioperative blood transfusion
Eligibility Criteria
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Inclusion Criteria
* Underwent major elective surgery
Exclusion Criteria
* Emergency cases
18 Years
100 Years
ALL
No
Sponsors
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Hacettepe University
OTHER
Dokuz Eylul University
OTHER
Saglik Bilimleri Universitesi
OTHER
Bulent Ecevit University
OTHER
Erzincan University
OTHER
Kahramanmaras Sutcu Imam University
OTHER
Ufuk University
OTHER
Istanbul Medeniyet University
OTHER
Marmara University
OTHER
Eskisehir Osmangazi University
OTHER
Inonu University
OTHER
Mersin University
OTHER
Istanbul University
OTHER
Selcuk University
OTHER
Balikesir University
OTHER
Trakya University
OTHER
Necmettin Erbakan University
OTHER
Ankara University
OTHER
Suleyman Demirel University
OTHER
Tobb University of Economics and Technology
OTHER
Akdeniz University
OTHER
Uludag University
OTHER
Ordu University
OTHER
Gazi University
OTHER
TC Erciyes University
OTHER
Hitit University
OTHER
Firat University
OTHER
Karadeniz Technical University
OTHER
Ondokuz Mayıs University
OTHER
Yuzuncu Yıl University
OTHER
Namik Kemal University
OTHER
Baskent University
OTHER
Celal Bayar University
OTHER
Osmaniye Government Hospital
OTHER_GOV
Diskapi Teaching and Research Hospital
OTHER
Responsible Party
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DILEK YAZICIOGLU
Prof. Dr. Dilek Unal
Principal Investigators
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Dilek D Unal, Prof
Role: PRINCIPAL_INVESTIGATOR
UNIVERSITY OF HEALTH SCIENCES TURKEY DISKAPI YILDIRIM BEYAZIT TRAINING RESEARCH HOSPITAL ANKARA
Locations
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Dilek D Unal
Ankara, , Turkey (Türkiye)
Countries
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References
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Murphy GJ, Reeves BC, Rogers CA, Rizvi SI, Culliford L, Angelini GD. Increased mortality, postoperative morbidity, and cost after red blood cell transfusion in patients having cardiac surgery. Circulation. 2007 Nov 27;116(22):2544-52. doi: 10.1161/CIRCULATIONAHA.107.698977. Epub 2007 Nov 12.
Bernard AC, Davenport DL, Chang PK, Vaughan TB, Zwischenberger JB. Intraoperative transfusion of 1 U to 2 U packed red blood cells is associated with increased 30-day mortality, surgical-site infection, pneumonia, and sepsis in general surgery patients. J Am Coll Surg. 2009 May;208(5):931-7, 937.e1-2; discussion 938-9. doi: 10.1016/j.jamcollsurg.2008.11.019. Epub 2009 Mar 26.
Walczak S, Velanovich V. Prediction of perioperative transfusions using an artificial neural network. PLoS One. 2020 Feb 24;15(2):e0229450. doi: 10.1371/journal.pone.0229450. eCollection 2020.
Other Identifiers
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Machine learning DiskapiTRH
Identifier Type: -
Identifier Source: org_study_id
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