Leveraging Electronic Health Records to Predict the Risk of Acute Kidney Injury after Allogeneic Hematopoietic Cell Transplantation

Using our novel HCT-AKIR score calculated from the basic EHR dataset could be an easy way to increase awareness of post-transplant AKI and provide risk stratification.

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Publication Details

Journal
Life
Published
2024-08-08
DOI
https://doi.org/10.3390/life14080987
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
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article

Leveraging Electronic Health Records to Predict the Risk of Acute Kidney Injury after Allogeneic Hematopoietic Cell Transplantation

Nikola Kirilov, Elena Kirilova
Life
Renal Transplantation Outcomes and Treatments
article

Leveraging Electronic Health Records to Predict the Risk of Acute Kidney Injury after Allogeneic Hematopoietic Cell Transplantation

Nikola Kirilov, Elena Kirilova
article en

Abstract

Using our novel HCT-AKIR score calculated from the basic EHR dataset could be an easy way to increase awareness of post-transplant AKI and provide risk stratification.

LifeVol. 14(8)
Heidelberg University (DE), University Hospital Heidelberg (DE), Prof. Assen Zlatarov University (BG)
Good health and well-being
Openalex Percentile: Top 81%
Renal Transplantation Outcomes and Treatments
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Leveraging Electronic Health Records to Predict the Risk of Acute Kidney Injury after Allogeneic Hematopoietic Cell Transplantation — Nikola Kirilov, Elena Kirilova · Life (2024) | TGRS Research Map | TGRS