MBChB, BScMedSci, MRCP(Nephrology), PhD
Senior Clinical Lecturer
- About
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- Email Address
- simon.sawhney@abdn.ac.uk
- Office Address
- School/Department
- School of Medicine, Medical Sciences and Nutrition
Biography
I'm a senior clinical lecturer in nephrology at ACHDS. I aim to use data to challenge and strengthen the evidence that guides how we care for people with kidney diseases, understand how we can make better decisions that benefit people, and translate clinical research into changes in how we provide care.
Research interests:
- Kidney health epidemiology
- Clinical decision making
- Replicability and reproducibility of research
- Health Inequities
- Risk toolsSupervision:
ACHDS is a lovely team to work and study with. If you would like to know more about opportunities for research or collaboration, just get in touch.
- Research
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Funding and Grants
Chief Scientist Office Scotland 2024-2026. (PI) Understanding and reducing inequalities in kidney health care and outcomes in Scotland
National Institute for Health Research 2022-2025. (Co-I) Improving the quality of post-discharge care following acute kidney injury
Tenovus Scotland 2021-2024. (Co-I) Fast Field-Cycling Imaging of kidney disease
Grampian University Hospitals NHS Trust 2021-2022. (PI) Investigating socioeconomic disparities as a cause and consequence of deteriorating kidney health among people admitted to hospital with an acute illness.
Chief Scientist Office Scotland 2020. (Co-I) Minimising impact on vulnerable patients: data-driven design, monitoring and adaptation of COVID and non-COVID clinical care pathways.
Academy of Medical Sciences Starter Grant for Clinical Lecturers 2019-2020 (Personal award) Multicentre Acute kidney injury and Readmissions Replication Study (MARS).
Wellcome Trust Institutional Strategic Fellowship Support Fund 2019-2020. (Personal award) Acute kidney injury and Readmissions.
Wellcome Trust Institutional Strategic Clinical Research Support Fund 2018-2020. (PI) A machine learning prediction tool for unplanned readmissions after acute kidney injury.
Grampian University Hospitals NHS Trust 2018-2019. (Co-I)Reducing high risk prescribing harm in patients with impaired kidney function.
Farr Institute UK Health Informatics Research Network, 2016-2017. (Co-I) Identifying episodes of acute kidney injury across health care settings using routinely collected data.
Wellcome Trust, 2014-2017. (Personal award for Clinical Research Training Fellowship) Long term outcomes of acute kidney injury - establishing prognosis to design optimal management.
- Publications
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Intermediate and Long-Term Outcomes of Survivors of Acute Kidney Injury Episodes: A Large Population-Based Cohort Study
American Journal of Kidney Diseases, vol. 69, no. 1, pp. 18-28Contributions to Journals: ArticlesAKI alerts in Grampian: An audit of potential volume, location and outcomes
Scottish Renal Association (2016)Contributions to Conferences: AbstractsKDIGO-based acute kidney injury criteria operate differently in hospitals and the community—findings from a large population cohort
Nephrology Dialysis Transplantation, vol. 31, no. 6, pp. 922-929Contributions to Journals: ArticlesLong-term prognosis of acute kidney injury: a 10 year population-based study
Spring Meeting on Clinician Scientists in Training, pp. 89Contributions to Journals: Abstracts- [ONLINE] DOI: https://doi.org/10.1016/S0140-6736(16)00476-1
Discharge after acute kidney injury: recognising and managing risk
Clinical Focus Primary Care, vol. 9, no. 3, pp. 124-133Contributions to Journals: ArticlesRenal medicine – the interface with specialty colleagues
Edinburgh: Royal College of Physicians of EdinburghBooks and Reports: Commissioned ReportsDiagnostic sensitivity and false positive AKI alerts through unlinking of an integrated Grampian biochemistry service
Other Contributions: Other Contributions- [ONLINE] DOI: https://doi.org/10.13140/RG.2.1.3279.4480
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/5950/1/borderstudy.pdf
Acute kidney injury – how does automated detection perform?
Nephrology Dialysis Transplantation, vol. 30, no. 11, pp. 1853-1861Contributions to Journals: ArticlesMaximising acute kidney injury alerts: a cross-sectional comparison with the clinical diagnosis
PloS ONE, vol. 10, no. 6, 0131909Contributions to Journals: ArticlesSP193 Automated Detection of Acute Kidney Injury in Routine Healthcare
Nephrology Dialysis Transplantation, vol. 30, no. Suppl. 3, pp. iii441-iii442Contributions to Journals: Abstracts- [ONLINE] DOI: https://doi.org/10.1093/ndt/gfv190.05