Neutrophil percentage-to-Albumin Ratio as a predictor of acute Kidney Injury in cirrhotic patients:A novel approach utilizing artificial intelligence
NAR could be a new, affordable, and non-invasive test demonstrating a strong discriminative ability to predict AKI in cirrhotic patients.
Authors
- Mostafa Abdelsalam (ORCID: https://orcid.org/0000-0002-4682-2777)
- Naglaa F. Abbas (ORCID: https://orcid.org/0000-0002-4987-3326)
- Alaa Elmetwalli (ORCID: https://orcid.org/0000-0001-5372-4297)
- Muhammad Diasty
- Eman Abdelkader
- Mohamed Wahba (ORCID: https://orcid.org/0000-0002-5569-3727)
- Nasser Mousa (ORCID: https://orcid.org/0000-0001-8329-2587)
- Marwa Mansour
- Sherif Elbaz
- Ola El-Emam
- Mohamed Selim (ORCID: https://orcid.org/0000-0002-5539-7274)
- Niveen El‐Wakeel (ORCID: https://orcid.org/0000-0002-6202-7589)
- Mohammed Abdelaziz (ORCID: https://orcid.org/0000-0002-2521-8642)
- Mohamed Shaheen
- Badawy W Abobakr
Institutions
- Mansoura University (EG)
- Taif University (SA)
- Al-Azhar University (EG)
- Fahd bin Sultan University (SA)
- Mansoura University Hospital (EG)
- Soliman Fakeeh Hospital (SA)
- University of Houston (US)
- Aswan University (EG)
- Delta University for Science and Technology (EG)
Publication Details
- Journal
- American Journal of Nephrology
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1159/000545639
- Citations
- 2
- Primary Topic
- Liver Disease and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 2.64