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

Vaid, Akhil; Takkavatakarn, Kullaya; Divers, Jasmin; Charytan, David M.; Chan, Lili; Nadkarni, Girish N.

doi:10.34067/kid.0000000000000208

Cited by 1 publication

(1 citation statement)

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“…98 Further, a very recent paper described utilization of digitized EKG recording obtained within 48 h prior to dialysis session, to predict IDH. 99 Incorporating AI learning methods into dialysis supervision platforms could offer an advantage for the ongoing tasks of adjustment to and reaccommodation of local patterns and biases that impact care delivery. Thus, by leveraging machine-based learning methods, we can gain new insights into these clinical problems, leading to better prediction and prevention of complications during HD.…”

Section: Researchmentioning

confidence: 99%

Prevention of Intradialytic Hypotension in Hemodialysis Patients: Current Challenges and Future Prospects

Hamrahian,

Vilayet,

Herberth

et al. 2023

IJNRD

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Intradialytic hypotension, defined as rapid decrease in systolic blood pressure of greater than or equal to 20 mmHg or in mean arterial pressure of greater than or equal to 10 mmHg that results in end-organ ischemia and requires countermeasures such as ultrafiltration reduction or saline infusion to increase blood pressure to improve patient's symptoms, is a known complication of hemodialysis and is associated with several potential adverse outcomes. Its pathogenesis is complex and involves both patient-related factors such as age and comorbidities, as well as factors related to the dialysis prescription itself. Key factors include the need for volume removal during hemodialysis and a suboptimal vascular response which compromises the ability to compensate for acute intravascular volume loss. Inadequate vascular refill, incorrect assessment or unaccounted changes of target weight, acute illnesses and medication interference are further potential contributors. Intradialytic hypotension can lead to compromised tissue perfusion and endorgan damage, both acutely and over time, resulting in repetitive injuries. To address these problems, a careful assessment of subjective symptoms, minimizing interdialytic weight gains, individualizing dialysis prescription and adjusting the dialysis procedure based on patients' risk factors can mitigate negative outcomes.

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Section: Researchmentioning

confidence: 99%

Prevention of Intradialytic Hypotension in Hemodialysis Patients: Current Challenges and Future Prospects

Hamrahian,

Vilayet,

Herberth

et al. 2023

IJNRD

View full text Add to dashboard Cite

show abstract

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

Abstract: Points c Intradialytic hypotension is common in patients who are on hemodialysis. c 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.

Cited by 1 publication

References 10 publications

Prevention of Intradialytic Hypotension in Hemodialysis Patients: Current Challenges and Future Prospects

Prevention of Intradialytic Hypotension in Hemodialysis Patients: Current Challenges and Future Prospects

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