Description
The Grampian Laboratory Outcomes Morbidity and Mortality Study incorporates 2 cohorts (-I and –II) from the Grampian adult population resident in 2003 with several years of follow-up. The first has case-note review of ~3400 patients with CKD, this is linked to laboratory data and routine healthcare admission data, renal replacement therapy (RRT) requirements and mortality data. The second is for ~70,00 individuals across the spectrum of renal disease (including ~20,000 with chronic kidney disease (CKD) and ~20,000 with normal kidney function) – these are again linked to routine healthcare data to give information on kidney function, comorbidities and major health care events over time.
Research on the GLOMMS cohorts has contributed to a better understanding of chronic kidney disease and is starting to help with an understanding of what is important in those who suffer episodes of acute kidney injury.
Research on the GLOMMS cohorts has contributed to a better understanding of chronic kidney disease and is starting to help with an understanding of what is important in those who suffer episodes of acute kidney injury.
| Date made available | 2014 |
|---|---|
| Publisher | Grampian Data Safe Haven |
| Temporal coverage | 2003 - 2014 |
| Geographical coverage | Grampian |
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Post-discharge kidney function is associated with subsequent ten-year renal progression risk among survivors of acute kidney injury
Sawhney, S. (Corresponding Author), Marks, A., Fluck, N., Levin, A., McLernon, D., Prescott, G. & Black, C., 31 Aug 2017, In: Kidney International. 92, 2, p. 440-452 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile124 Link opens in a new tab Citations (Scopus)26 Downloads (Pure) -
Past Decline Versus Current eGFR and Subsequent Mortality Risk
Naimark, D. M. J., Grams, M. E., Matsushita, K., Black, C., Drion, I., Fox, C. S., Inker, L. A., Ishani, A., Jee, S. H., Kitamura, A., Lea, J. P., Nally, J., Peralta, C. A., Rothenbacher, D., Ryu, S., Tonelli, M., Yatsuya, H., Coresh, J., Gansevoort, R. T. & Warnock, D. G. & 3 others, , Aug 2016, In: Journal of the American Society of Nephrology. 27, 8, p. 2456-2466 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile51 Link opens in a new tab Citations (Scopus)37 Downloads (Pure) -
Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? A comparison study with laboratory data
Robertson, L. M., Denadai, L., Black, C., Fluck, N., Prescott, G., Simpson, W., Wilde, K. & Marks, A., 1 Jun 2016, In: Health Informatics Journal. 22, 2, p. 383-396 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Link opens in a new tab Citations (Scopus)39 Downloads (Pure) -
Acute kidney injury – how does automated detection perform?
Sawhney, S., Fluck, N., Marks, A., Prescott, G., Simpson, W., Tomlinson, L. & Black, C., Nov 2015, In: Nephrology Dialysis Transplantation. 30, 11, p. 1853-1861 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile64 Link opens in a new tab Citations (Scopus)21 Downloads (Pure)
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