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The investigators aim to develop a clinically validated, histological acute tubular injury (ATI) scoring system to help improve diagnostic precision and predict clinical outcomes following ATI.
To use an unbiased, data-driven approach, correlating pathological features (including digital pathology), key signatures using spatial technologies (transcriptomics or proteinomics) with relevant clinical outcomes. Spatial technologies (including spatial transcriptomics and spatial proteinomics) allow the use of 'precision pathology' to study the critical link between molecular characteristics to histological structure.
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The study is an investigator-led, retrospective, observational cohort study. This study is intended to be in perpetuity and there will be regular reporting to the local HREC (Western Sydney Local Health District, WSLHD)
Primary aim: the investigators aim to derive a clinically validated scoring system for acute kidney injury and iteratively improve its performance through machine learning algorithms over time.
Secondary aims:
All participants included in the study must be age ≥ 18 years old at time of enrolment and
This will include groups with
Collection of health related data will be through review of primary medical records to improve the diagnostic utility of kidney biopsies performed to evaluate the cause of AKI.
The investigators will also be requesting waiver of consent for access to histopathology slides and residual kidney tissue
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1,000 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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