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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Care processes and outcomes of deprivation across the clinical course of kidney disease: Findings from a high-income country with universal healthcare
Nephrology Dialysis Transplantation, vol. 38, no. 5, pp. 1170-1182Contributions to Journals: ArticlesConsensus Recommendations for Sick Day Medication Guidance for People With Diabetes, Kidney, or Cardiovascular Disease: A Modified Delphi Process
American Journal of Kidney Diseases, vol. 81, no. 5, pp. 564-574Contributions to Journals: ArticlesMajor cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study
European Heart Journal, vol. 44, no. 13, pp. 1157-1166Contributions to Journals: ArticlesPrediction of major postoperative events after non-cardiac surgery for people with kidney failure: derivation and internal validation of risk models
BMC Nephrology, vol. 24, no. 1, 49Contributions to Journals: ArticlesThe Kidney Failure Risk Equation: Evaluation of Novel Input Variables including eGFR Estimated Using the CKD-EPI 2021 Equation in 59 Cohorts
Journal of the American Society of Nephrology, vol. 34, no. 3, pp. 482-494Contributions to Journals: ArticlesSystem-Based Solutions to Minimizing Nephrotoxin-Induced Acute Kidney Injury
Clinical Journal of the American Society of Nephrology, vol. 18, no. 2, pp. 157-159Contributions to Journals: Editorials- [ONLINE] DOI: https://doi.org/10.2215/CJN.0000000000000053
Using the Revised Cardiac Risk Index to predict major postoperative events for people with kidney failure: An external validation and update
CJC Open, vol. 4, no. 10, pp. 905-912Contributions to Journals: ArticlesDevelopment and Validation of Prediction Models of Adverse Kidney Outcomes in the Population With and Without Diabetes Mellitus
Diabetes Care, vol. 45, no. 9, pp. 2055-2063Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.2337/dc22-0698
- [ONLINE] Accepted manuscript in Dundee institutional repository
The clinically extremely vulnerable to COVID: Identification and changes in healthcare while self-isolating (shielding) during the coronavirus pandemic
International Population Data Linkage Network Conference, 125Contributions to Journals: AbstractsHarmonization of epidemiology of acute kidney injury and acute kidney disease produces comparable findings across four geographic populations.
Kidney International, vol. 101, no. 6, pp. 1271-1281Contributions to Journals: Articles