Hypertensive load predicts recovery of renal function for patients undergoing revascularisation for renal artery stenosis.
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| Title: | Hypertensive load predicts recovery of renal function for patients undergoing revascularisation for renal artery stenosis. |
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| Authors: | Edgar B; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK. Benjamin.Edgar@glasgow.ac.uk.; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK. Benjamin.Edgar@glasgow.ac.uk., Pearson R; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK., Jackson A; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK., Stove C; Department of Interventional Radiology, Queen Elizabeth University Hospital, Glasgow, UK., Kasthuri R; Department of Interventional Radiology, Queen Elizabeth University Hospital, Glasgow, UK., Hussey K; Department of Vascular Surgery, Queen Elizabeth University Hospital, Glasgow, UK., Delles C; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK., Geddes C; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK., Mark P; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK., Roditi G; Department of Interventional Radiology, Queen Elizabeth University Hospital, Glasgow, UK., McCallum L; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK., Kingsmore DB; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.; Department of Vascular Surgery, Queen Elizabeth University Hospital, Glasgow, UK. |
| Source: | Scientific reports [Sci Rep] 2025 Jan 28; Vol. 15 (1), pp. 3475. Date of Electronic Publication: 2025 Jan 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-86663-y |
