![Dr Simon Sawhney Dr Simon Sawhney](/img/200x200/staffpages/uploads/s24ss2/avatar/4QvzoICkulT59BNsQDhUelTAGxII1Im7pFggBktm.jpeg)
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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Biomarkers for assessing acute kidney injury for people who are being considered for admission to critical care: a systematic review and cost-effectiveness analysis
Health Technology Assessment, vol. 26, no. 7, pp. 1-286Contributions to Journals: ArticlesCost-effectiveness and value of information analysis of NephroCheck and NGAL tests compared to standard care for the diagnosis of acute kidney injury
BMC Nephrology, vol. 22, 399Contributions to Journals: ArticlesBriefing: Assessing the impact of COVID-19 on the clinically extremely vulnerable population
The Health Foundation. 32 pagesBooks and Reports: Other ReportsHarmonizing acute and chronic kidney disease definition and classification: report of a Kidney Disease: Improving Global Outcomes (KDIGO) Consensus Conference
Kidney International, vol. 100, no. 3, pp. 516-526Contributions to Journals: ArticlesValidation of Risk Prediction Models to Inform Clinical Decisions After Acute Kidney Injury
American Journal of Kidney Diseases, vol. 78, no. 1, pp. 28-37Contributions to Journals: ArticlesConversion of Urine Protein-Creatinine Ratio or Urine Dipstick Protein to Urine Albumin-Creatinine Ratio for Use in Chronic Kidney Disease Screening and Prognosis: An Individual Participant–Based Meta-analysis
Annals of Internal Medicine, vol. 173, no. 6, pp. 426-435Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.7326/M20-0529
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/15645/1/Sumida_et_al_AIM_ConversionOfUrine_AAM.pdf
- [ONLINE] View publication in Scopus
Predicting kidney failure risk after acute kidney injury among people receiving nephrology clinic care
Nephrology Dialysis Transplantation, vol. 35, no. 5, pp. 836-845Contributions to Journals: ArticlesRisk factors associated with biochemically detected and hospitalised acute kidney injury in patients prescribed renin angiotensin system inhibitors
British Journal of Clinical Pharmacology, vol. 86, no. 1, pp. 121-131Contributions to Journals: ArticlesThe ARCHITECT and Alinity urine NGAL assays, urine NephroCheck test, and urine and plasma NGAL tests to help assess the risk of acute kidney injury in people who are being considered for admission to critical care
National Institute for Health and Care Excellence (NICE). 376 pagesBooks and Reports: Commissioned ReportsAcute kidney injury in the UK: a replication cohort study of the variation across three regional populations
BMJ Open, vol. 8, no. 6, e019435Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1136/bmjopen-2017-019435
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/10697/1/Acute_kidney_injury_in_the_UK.pdf
- [ONLINE] View publication in Scopus