Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD

Kidney360. 2023 Sep 1;4(9):e1293-e1296. doi: 10.34067/KID.0000000000000208. Epub 2023 Jul 7.

Akhil Vaid¹, Kullaya Takkavatakarn², Jasmin Divers³, David M Charytan⁴, Lili Chan^{1

2}, Girish N Nadkarni^{1

2}

¹ The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
² Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
³ Division of Health Services, Department of Medicine, NYU (New York University) Long Island School of Medicine, Mineola, New York.
⁴ Division of Nephrology, Department of Medicine, NYU (New York University) Grossman School of Medicine and NYU Langone Medical Center, New York, New York.

Abstract

Intradialytic hypotension is common in patients who are on hemodialysis.
We applied deep learning techniques to ECGs to predict patients at risk of IDH. The performance of the model was good with an AUC of 0.763 and AUPRC of 0.35.