NDLI: Predicting Adverse Reactions to Blood Transfusion

Content Provider	IEEE Xplore Digital Library
Author	Murphree, D.H. Clifford, L. Yaxiong Lin Madde, N. Ngufor, C. Upadhyaya, S. Pathak, J. Kor, D.J.
Copyright Year	2015
Description	Author affiliation: Dept. of Health Sci., Mayo Clinic, Rochester, MN, USA (Murphree, D.H.; Yaxiong Lin; Ngufor, C.; Upadhyaya, S.; Pathak, J.) \|\| Dept. of Anesthesiology, Mayo Clinic, Rochester, MN, USA (Clifford, L.; Madde, N.; Kor, D.J.)
Abstract	In 2011 approximately 21 million blood components were transfused in the United States, with roughly 1 in 414 causing an adverse reaction [1]. Two adverse reactions in particular, transfusion-related acute lung injury (TRALI) and transfusion-associated circulatory overload (TACO), accounted for 62% of reported transfusion-related fatalities in 2013 [2]. We describe newly developed models for predicting the likelihood of these adverse reactions, with a goal towards better informing the clinician prior to a transfusion decision. Our models include both traditional logistic regression as well as modern machine learning techniques, and incorporate over sampling methods to deal with severe class imbalance. We focus on a minimal set of predictors in order to maximize potential application. Results from 8 models demonstrate AUC's ranging from 0.72 to 0.84, with sensitivities tunable by threshold choice across ranges up to 0.93. Many of the models rank the same predictors amongst the most important, perhaps yielding insight into the mechanisms underlying TRALI and TACO. These models are currently being implemented in a Clinical Decision Support System [3] in perioperative environments at Mayo Clinic.
Starting Page	82
Ending Page	89
File Size	213593
Page Count	8
File Format	PDF
e-ISBN	9781467395489
DOI	10.1109/ICHI.2015.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adverse reaction Transfusion Transfusion-Associated Circulatory Overload Predictive models Risk prediction Transfusion-Related Acute Lung Injury Blood Diseases Training Logistic regression Surgery Machine learning Data models
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Educational Case: Transfusion reactions: Transfusion associated circulatory overload vs transfusion-related acute lung injury.

Chronicle of Hypoxemia: Transfusion-Associated Circulatory Overload Versus Transfusion-Related Acute Lung Injury.

Post-partum sequential occurrence of two diverse transfusion reactions (transfusion associated circulatory overload and transfusion related acute lung injury)

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Pulmonary edema after transfusion: how to differentiate transfusion-associated circulatory overload from transfusion-related acute lung injury.

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Predicting Adverse Reactions to Blood Transfusion

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