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:
- Derive a spatially resolved transcriptomic signature of acute kidney injury (AKI)
- Derive accurate transcriptomic signatures aligned with key cell types in AKI
- Derive unique gene signatures to differentiate different causes of AKI
All participants included in the study must be age ≥ 18 years old at time of enrolment and
- Had a kidney transplant at any time after the year 2000
- Kidney biopsy sample sent to Westmead Hospital for clinical interpretation
- Have information regarding kidney function available.
This will include groups with
- Acute tubular injury (ATI) only
- ATI concurrently diagnosed with any other pathology on biopsy
- Biopsies with no ATI (negative control)
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
- Histopathology slides, which were created and analysed as part of routine clinical care.
- Residual kidney tissue, either as paraffin blocks or fresh frozen tissue