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The Institute of Applied Health Sciences

Dr Simon Sawhney

Dr Simon Sawhney
Dr Simon Sawhney
Dr Simon Sawhney

MBChB, BScMedSci, MRCP(Nephrology), PhD

Senior Clinical Lecturer

About
Email Address
simon.sawhney@abdn.ac.uk
Office Address
1:173 Polwarth Building
Foresterhill Campus
Foresterhill
AB25 2ZD

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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 tools

 

Supervision:

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

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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  • Major cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study

    Mark, P. B., Carrero, J. J., Matsushita, K., Sang, Y., Ballew, S. H., Grams, M. E., Coresh, J., Surapaneni, A., Brunskill, N. J., Chalmers, J., Chan, L., Chang, A. R., Chinnadurai, R., Chodick, G., Cirillo, M., de Zeeuw, D., Evans, M., Garg, A. X., Gutierrez, O. M., Heerspink, H. J., Heine, G. H., Herrington, W. G., Ishigami, J., Kronenberg, F., Lee, J. Y., Levin, A., Major, R. W., Marks, A., Nardkarni, G. N., Naimark, D. M., Nowak, C., Rahman, M., Sabanayagam, C., Sarnak, M., Sawhney, S., Schneider, M. P., Shalev, V., Shim, J., Siddiqui, M. K., Stempniewicz, N., Sumida, K., Valdivielso, J. M., van den Brand, J., Wang, A. Y. M., Wheeler, D. C., Zhang, L., Visseren, F. L., Stengel, B.
    European Heart Journal, vol. 44, no. 13, pp. 1157-1166
    Contributions to Journals: Articles

  • Prediction of major postoperative events after non-cardiac surgery for people with kidney failure: derivation and internal validation of risk models

    Harrison, T. G., Hemmelgarn, B. R., James, M. T., Sawhney, S., Manns, B. J., Tonelli, M., Ruzycki, S. M., Zarnke, K. B., Wilson, T. A., McCaughey, D., Ronksley, P. E.
    BMC Nephrology, vol. 24, no. 1, 49
    Contributions to Journals: Articles

  • The Kidney Failure Risk Equation: Evaluation of Novel Input Variables including eGFR Estimated Using the CKD-EPI 2021 Equation in 59 Cohorts

    Grams, M. E., Brunskill, N. J., Ballew, S. H., Sang, Y., Coresh, J., Matsushita, K., Surapaneni, A., Bell, S., Carrero, J. J., Chodick, G., Evans, M., Heerspink, H. J., Inker, L. A., Iseki, K., Kalra, P. A., Kirchner, H. L., Lee, B. J., Levin, A., Major, R. W., Medcalf, J., Nadkarni, G. N., Naimark, D. M., Ricardo, A. C., Sawhney, S., Sood, M. M., Staplin, N., Stempniewicz, N., Stengel, B., Sumida, K., Traynor, J. P., van den Brand, J., Wen, C., Woodward, M., Yang, J. W., Wang, A. Y., Tangri, N.
    Journal of the American Society of Nephrology, vol. 34, no. 3, pp. 482-494
    Contributions to Journals: Articles

  • System-Based Solutions to Minimizing Nephrotoxin-Induced Acute Kidney Injury

    James, M., Sawhney, S.
    Clinical Journal of the American Society of Nephrology, vol. 18, no. 2, pp. 157-159
    Contributions to Journals: Editorials

  • Using the Revised Cardiac Risk Index to predict major postoperative events for people with kidney failure: An external validation and update

    Harrison, T. G., Hemmelgarn, B. R., James, M. T., Sawhney, S., Lam, N., Ruzycki, S. M., Wilson, T. A., Ronksley, P. E.
    CJC Open, vol. 4, no. 10, pp. 905-912
    Contributions to Journals: Articles

  • Development and Validation of Prediction Models of Adverse Kidney Outcomes in the Population With and Without Diabetes Mellitus

    Grams, M. E., Brunskill, N. J., Ballew, S. H., Sang, Y., Coresh, J., Matsushita, K., Surapaneni, A., Bell, S., Carrero, J. J., Chodick, G., Evans, M., Heerspink, H. J. L., Inker, L. A., Iseki, K., Kalra, P. A., Kirchner, H. L., Lee, B. J., Levin, A., Major, R. W., Medcalf, J., Nadkarni, G. N., Naimark, D. M. J., Ricardo, A. C., Sawhney, S., Sood, M. M., Staplin, N., Stempniewicz, N., Stengel, B., Sumida, K., Traynor, J. P., van den Brand, J., Wen, C., Woodward, M., Yang, J. W., Wang, A. Y., Tangri, N., CKD Prognosis Consortium
    Diabetes Care, vol. 45, no. 9, pp. 2055-2063
    Contributions to Journals: Articles

  • The clinically extremely vulnerable to COVID: Identification and changes in healthcare while self-isolating (shielding) during the coronavirus pandemic

    Butler, J., Nath, M., Blana, D., Ball, W., Beech, N., Black, C., Osler, G. H. R., Peytrignet, S., Rzewuska, M., Wilde, K., Wozniak, A., Sawhney, S.
    International Population Data Linkage Network Conference, 125
    Contributions to Journals: Abstracts

  • Harmonization of epidemiology of acute kidney injury and acute kidney disease produces comparable findings across four geographic populations.

    Sawhney, S., Bell, S., Black, C., Christiansen, C. F., Heide-Jørgensen, U., Jensen, S. K., Ronksley, P. E., Tan, Z., Tonelli, M., Walker, H. M., James, M. T.
    Kidney International, vol. 101, no. 6, pp. 1271-1281
    Contributions to Journals: Articles

  • Biomarkers to Predict CKD After Acute Kidney Injury: News or Noise?

    Silver, S. A., Sawhney, S.
    American Journal of Kidney Diseases, vol. 79, no. 5, pp. 620-622
    Contributions to Journals: Editorials

  • Population Epidemiology of Hyperkalemia: Cardiac and Kidney Long Term Health Outcomes

    McLean, A., Nath, M., Sawhney, S.
    American Journal of Kidney Diseases, vol. 79, no. 4, pp. 527-538
    Contributions to Journals: Articles
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