Letter to the Editor
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Feb 16, 2024; 12(5): 1033-1035
Published online Feb 16, 2024. doi: 10.12998/wjcc.v12.i5.1033
Exploring multifaceted factors in chronic kidney disease risk: A comprehensive analysis of biochemistry, lifestyle, and inflammation in elderly Chinese individuals
Fernando Cardona
Fernando Cardona, Unitat de Genètica Molecular, Instituto de Biomedicina de Valencia – CSIC, Valencia 46010, Spain
Fernando Cardona, Centro de investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid 28029, Spain
Fernando Cardona, Departamento de Biotecnología, Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural (ETSIAMN), Univeristat Politècnica de Valencia, Valencia 46022, Spain
Author contributions: Cardona F is the sole author.
Conflict-of-interest statement: Fernando Cardona is not be in any situation which could give rise to a conflict of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Fernando Cardona, PhD, Assistant Lecturer, Research Assistant, Unitat de Genètica Molecular, Instituto de Biomedicina de Valencia – CSIC, C/Jaume Roig 11, Valencia 46010, Spain. fcardona@ibv.csic.es
Received: November 4, 2023
Peer-review started: November 4, 2023
First decision: December 31, 2023
Revised: December 31, 2023
Accepted: January 18, 2024
Article in press: January 18, 2024
Published online: February 16, 2024
Core Tip

Core Tip: This letter commends a recent article in the World Journal of Clinical Cases that employs advanced machine learning to investigate factors affecting abnormal renal function in elderly Chinese individuals. The study emphasizes the significance of uric acid, age, hemoglobin, body mass index, sport hours, and systolic blood pressure. Its holistic approach, integrating lifestyle and inflammation, provides a nuanced understanding of chronic kidney disease risk factors. The letter proposes further exploration into mechanistic pathways of hyperuricemia, the link between anemia and renal function, and the association between body mass index and estimated glomerular filtration rate. Additionally, it advocates for investigating the impact of physical activity on renal health and the independent effects of blood pressure. The study contributes significantly to understanding chronic kidney disease, suggesting avenues for further research and interventions, and extends commendations to the authors and the journal.