Blood Transfusion Complication Clinical Trial
Official title:
Establishment of AI Prediction Model of Blood Transfusion Management in Patients With Mitral Valve Replacement
The evaluation uses ΔHb as an independent factor combined with artificial intelligence (AI) to predict its impact on the prognosis and blood transfusion of patients undergoing cardiac surgery, thereby guiding perioperative clinical blood use and improving patient prognosis.
Status | Recruiting |
Enrollment | 2000 |
Est. completion date | December 31, 2021 |
Est. primary completion date | December 2, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 75 Years |
Eligibility |
Inclusion Criteria: 1. Patients undergoing "mitral valve replacement" surgery; 2. Age 18-75 years old; 3. 48h biochemical indicators before surgery, blood general indicators, coagulation indicators are complete. Exclusion Criteria: 1. Lack of necessary tests and patient test information is not detailed, blood transfusion information is not detailed; 2. The blood transfusion information is not detailed in the same period as other cardiac operations (such as aortic valve surgery, coronary artery bypass grafting, etc.), but the tricuspid valvuloplasty is not ruled out at the same time; 3. Heart surgery or emergency surgery again. |
Country | Name | City | State |
---|---|---|---|
China | Third Xiangya Hospital | Changsha | Hunan |
Lead Sponsor | Collaborator |
---|---|
The Third Xiangya Hospital of Central South University | Beijing Aerospace General Hospital, Chinese Academy of Medical Sciences, Fuwai Hospital, Qilu Hospital of Shandong University, Second Xiangya Hospital of Central South University, The Affiliated Hospital Of Southwest Medical University, Zhejiang Provincial People’s Hospital |
China,
de Schipper LJ, Baharoglu MI, Roos YBWEM, de Beer F. Medical Treatment for Spontaneous Anticoagulation-Related Intracerebral Hemorrhage in the Netherlands. J Stroke Cerebrovasc Dis. 2017 Jul;26(7):1427-1432. doi: 10.1016/j.jstrokecerebrovasdis.2017.03.019. Epub 2017 Apr 12. — View Citation
Hogervorst E, Rosseel P, van der Bom J, Bentala M, Brand A, van der Meer N, van de Watering L. Tolerance of intraoperative hemoglobin decrease during cardiac surgery. Transfusion. 2014 Oct;54(10 Pt 2):2696-704. doi: 10.1111/trf.12654. Epub 2014 Apr 14. — View Citation
Karkouti K, Wijeysundera DN, Yau TM, McCluskey SA, van Rensburg A, Beattie WS. The influence of baseline hemoglobin concentration on tolerance of anemia in cardiac surgery. Transfusion. 2008 Apr;48(4):666-72. doi: 10.1111/j.1537-2995.2007.01590.x. Epub 2008 Jan 10. — View Citation
Spolverato G, Bagante F, Weiss M, He J, Wolfgang CL, Johnston F, Makary MA, Yang W, Frank SM, Pawlik TM. Impact of Delta Hemoglobin on Provider Transfusion Practices and Post-operative Morbidity Among Patients Undergoing Liver and Pancreatic Surgery. J Gastrointest Surg. 2016 Dec;20(12):2010-2020. Epub 2016 Sep 30. — View Citation
Spolverato G, Kim Y, Ejaz A, Frank SM, Pawlik TM. Effect of Relative Decrease in Blood Hemoglobin Concentrations on Postoperative Morbidity in Patients Who Undergo Major Gastrointestinal Surgery. JAMA Surg. 2015 Oct;150(10):949-56. doi: 10.1001/jamasurg.2015.1704. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Mortality | The mortality during and after hospitalization | through study completion, an average of 2 year | |
Primary | Intraoperative blood transfusion | The amount of intraoperative blood component input | through study completion, an average of 1 year |
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