Identifying acute kidney injury subtypes based on serum electrolyte data in ICU via K -medoids clustering

This study proposes to use the K-medoids clustering method to identify subtypes of Intensive Care Unit (ICU)-acquired acute kidney injury (AKI) patients based on serum electrolyte data. Three distinct AKI subtypes with different serum electrolyte characteristics were identified by clustering analysi...

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Bibliographic Details
Published inAMIA ... Annual Symposium proceedings Vol. 2024; p. 733
Main Authors Liu, Wentie, Shi, Tongyue, Xu, Haowei, Zhao, Huiying, Hao, Jianguo, Kong, Guilan
Format Journal Article
LanguageEnglish
Published United States 2024
Subjects
Acute Kidney Injury - blood
Acute Kidney Injury - classification
Acute Kidney Injury - diagnosis
Acute Kidney Injury - mortality
Acute Kidney Injury - therapy
Cluster Analysis
Electrolytes - blood
Hospital Mortality
Humans
Intensive Care Units
Prognosis
Renal Replacement Therapy
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Summary:This study proposes to use the K-medoids clustering method to identify subtypes of Intensive Care Unit (ICU)-acquired acute kidney injury (AKI) patients based on serum electrolyte data. Three distinct AKI subtypes with different serum electrolyte characteristics were identified by clustering analysis. Further, descriptive analysis was employed to characterize in-hospital mortality and renal replacement therapy, diuretic and vasopressor usage in the three subtypes, and Chi-square tests were conducted to check the differences of prognosis and treatments among the identified subtypes. This study enables the subclassification of AKI patients in the ICU, facilitating ICU physicians to make timely clinical decisions about AKI, and ultimately may contribute to patient outcome improvement.
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ISSN:1942-597X
1559-4076