Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool

Year: 2022

Type: article

Abstract: End-stage renal disease after heart transplant (HT) is associated with higher mortality and cost of care.1,2 Early and late renal failure after HT are caused by pretransplant comorbid factors (age, chronic kidney disease [CKD], diabetes mellitus, hypertension, and smoking), perioperative recurrent acute kidney injury (AKI), and use of nephrotoxic immunosuppressive agents (calcineurin inhibitors).3,4

Source: Kidney International Reports

DOI: 10.1016/j.ekir.2022.04.004

Institutions: East Texas A&M University, The University of Texas at Dallas, University of Arizona, The University of Texas Southwestern Medical Center, Virginia Commonwealth University, University of Texas Health Science Center at Dallas, Banner - University Medical Center Tucson, Dallas Nephrology Associates, Medical University of South Carolina, University of South Carolina Lancaster, Virginia Commonwealth University Medical Center

Language: English

Topic: Renal Transplantation Outcomes and Treatments

Subfield: Transplantation

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,625

Funders: Texas Institute for Brain Injury and Repair, University of Texas Southwestern Medical Center, Government of South Australia, National Institutes of Health, Health Resources and Services Administration, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: G232100374, UT Southwestern O'Brien Kidney Research Core Center

OpenAlex ID: W4224903100