4.7 Article

Distinct Subtyping of Successful Weaning from Acute Kidney Injury Requiring Renal Replacement Therapy by Consensus Clustering in Critically Ill Patients

Journal

BIOMEDICINES
Volume 10, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/biomedicines10071628

Keywords

acute kidney injury; clustering algorithm; critically ill patient; dialysis-free; mortality; renal replacement therapy

Funding

  1. Taiwan National Science Council [104-2314-B-002-125-MY3, 106-2314-B-002-166-MY3, 107-2314-B-002-026-MY3]
  2. National Health Research Institutes [PH-102-SP09]
  3. National Taiwan University Hospital [106-FTN20, 106-P02, UN106-014, 106-S3582, 107-S3809, 107-T02, PC1246, VN109-09, 109-S4634, UN109-041]
  4. Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) [MOST 106-2321-B-182-002, MOST 107-2321-B182-004, MOST 108-2321-B-182-003, MOST 109-2321-B-182-001]

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This study identified specific phenotypes of critically ill patients with acute kidney injury who may be successfully weaned off renal replacement therapy. Urinary NGAL/Cr and distinct clustering phenotypes could predict 90-day mortality or re-dialysis.
Background: Clinical decisions regarding the appropriate timing of weaning off renal replacement therapy (RRT) in critically ill patients are complex and multifactorial. The aim of the current study was to identify which critical patients with acute kidney injury (AKI) may be more likely to be successfully weaned off RRT using consensus cluster analysis. Methods: In this study, critically ill patients who received RRT at three multicenter referral hospitals at several timepoints from August 2016 to July 2018 were enrolled. An unsupervised consensus clustering algorithm was used to identify distinct phenotypes. The outcomes of interest were the ability to wean off RTT and 90-day mortality. Results: A total of 124 patients with AKI requiring RRT (AKI-RRT) were enrolled. The 90-day mortality rate was 30.7% (38/124), and 49.2% (61/124) of the patients were successfully weaned off RRT for over 90 days. The consensus clustering algorithm identified three clusters from a total of 45 features. The three clusters had distinct features and could be separated according to the combination of urinary neutrophil gelatinase-associated lipocalin to creatinine ratio (uNGAL/Cr), Sequential Organ Failure Assessment (SOFA) score, and estimated glomerular filtration rate at the time of weaning off RRT. uNGAL/Cr (hazard ratio [HR] 2.43, 95% confidence interval [CI]: 1.36-4.33) and clustering phenotype (cluster 1 vs. 3, HR 2.7, 95% CI: 1.11-6.57; cluster 2 vs. 3, HR 44.5, 95% CI: 11.92-166.39) could predict 90-day mortality or re-dialysis. Conclusions: Almost half of the critical patients with AKI-RRT could wean off dialysis for over 90 days. Urinary NGAL/Cr and distinct clustering phenotypes could predict 90-day mortality or re-dialysis.

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