Age, anticoagulants, hypertension and cardiovascular genetic traits predict cranial ischaemic complications in patients with giant cell arteritis
Saved in:
| Title: | Age, anticoagulants, hypertension and cardiovascular genetic traits predict cranial ischaemic complications in patients with giant cell arteritis |
|---|---|
| Authors: | Chaddock NJM, Harden CJ, Sorensen L, Mathieson HR, Zulcinski M, Lawson CA, O'Sullivan E, Mollan SP, Martin J, Mackie SL, Iles MM, Morgan AW, Raashid LH, Martin S, Robinson JI, Morgan A, Mackie S, Wordsworth O, Whitwell I, Brock J, Douglas V, Hettiarachchi C, Bartholomew J, Jarrett S, Smithson G, Green M, Brown PC, Lawson C, Gordon E, Lane S, Francis R, Dasgupta B, Masunda B, Calver J, Patel Y, Thompson C, Gregory L, Levy S, Menon A, Thompson A, Dyche L, Martin M, Li C, Laxminarayan R, Wilcox L, de Guzman R, Isaacs J, Lorenzi A, Reynolds G, Farley R, Hinchcliffe-Hume H, Bejarano V, Hope S, Nandi P, Stockham L, Wilde C, Durrant D, Lloyd M, Ye C-S, Stevens R, Jilani A, Collins D, Pegler S, Rivett A, Price L, McHugh N, Skeoch S, O'Kane D, Kirkwood S, Vadivelu S, Pugmire S, Sultan S, Dooks E, Armstrong L, Sadik H, Nandagudi A, Abioye T, Ramos A, Gumus S, Sofat N, Harrison A, Seward A, Mollan S, Rahan R, Hawkins H, Emsley H, Bhargava A, Fleming V, Hare M, Raj S, George E, Allen N, Hunter K, Bird G, Magliano M, Manzo K, Sanghera B, Hutchinson D, Hammonds F, Sharma P, Cooper R, McLintock G, Al-Saffar ZS, Elliott K, Neale T, Mallinson J, Lanyon P, Pradere M-J, Jordan N, Htut EP, Mushapaidzi T, Abercrombie D, Wright S, Rowlands J, Mukhtyar C, Kennedy J, Makkuni D, Wilhelmsen E, Kouroupis M, Bhagat S, John L, Hughes R, Walsh M, Buckley M, Mackay K, Camden-Woodley T, Redome J, Pearce K, Marianayagam T, Cruz C, Warner E, Atchia I, Walker C, Black K, Duffy S, Bukhari M, Fothergill L, Jefferey R, Toomey J, Dillon CR, Pothecary C, Green L, Toms T, Maher L, Davis D, Sayan A, Thankachen M, Abusalameh M, Record J, Khan A, Stafford S, Hussein A, Williams C, Fletcher A, Johson L, Burnett R, Moots R, Frankland H, Dale J, Moar K, Hollas C, Parker B, Ridings D, Eapen S, John S, Robson J, Guthrie LB, Fyfe R, Tait M, Marks J, Gunter E, Hernandez R, Bhat S, Johnston P, Khurshid M, Barclay C, Kapur D, Jeffrey H, Hughes A, Slack L, Thomas E, Royon A, Hall A, King J, Nyathi S, Morris V, Castelino M, Hawkins E, Tomson L, Singh A, Nunag A, O'Connor S, Rushby N, Hewitson N, O'Sunmboye K, Lewszuk A, Boyles L, Perry M, Williams E, Graver C, Defever E, Kamanth S, Kay D, Ogor J, Winter L, Horton S, Welch G, Hollinshead K, Peters J, Labao J, Dmello A, Dawson J, Graham D, De Lord D, Deery J, Hazelton T |
| Contributors: | National Institute for Health and Care Research (US), Medical Research Council (UK), European Commission, Iles, Mark M. [0000-0002-2603-6509], Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| Source: | Digital.CSIC. Repositorio Institucional del CSIC Consejo Superior de Investigaciones Científicas (CSIC) |
| Publisher Information: | Elsevier BV, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | Male, Giant Cell Arteritis, Brain Ischemia, Genetic, Risk Factors, Cardiovascular Disease, name=General Biochemistry,Genetics and Molecular Biology, Genetics, Humans, Genetic Predisposition to Disease, name=Immunology, Polymorphism, Giant cell arteritis, Aged, Aged, 80 and over, Age Factors, Anticoagulants, Middle Aged, Cardiovascular disease, name=Immunology and Allergy, Heart Disease Risk Factors, Hypertension, name=Rheumatology, Female |
| Description: | This project aimed to determine whether cranial ischaemic complications at the presentation of giant cell arteritis (GCA) were associated with pre-existing cardiovascular (CV) risk factors, CV disease or genetic risk of CV-related traits.1946 GCA patients with clinicodemographic data at GCA presentation were included. Associations between pre-existing CV-related traits (including Polygenic Risk Scores (PRS) for CV traits) and cranial ischaemic complications were tested. A model for cranial ischaemic complications was optimised using an elastic net approach. Positional gene mapping of associated PRS was performed to improve biological understanding.In a sample of 1946 GCA patients (median age=71, 68.7% female), 17% had cranial ischaemic complications at presentation. In univariable analyses, 10 variables were associated with complications (likelihood-ratio test p≤0.05). In multivariable analysis, the two variables with the strongest effects, with or without PRS in the model, were anticoagulant therapy (adjusted OR (95% CI)=0.21 (0.05 to 0.62), p=4.95×10-3) and age (adjusted OR (95% CI)=1.60 (0.73 to 3.66), p=2.52×10-3, for ≥80 years versus |
| Document Type: | Article |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 0003-4967 |
| DOI: | 10.1136/ard-2024-225515 |
| DOI: | 10.13039/501100000780 |
| DOI: | 10.13039/501100000265 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/39919905 https://pubmed.ncbi.nlm.nih.gov/39362697 https://api.elsevier.com/content/abstract/scopus_id/85206290500 http://hdl.handle.net/10261/385772 |
| Rights: | CC BY CC BY NC |
| Accession Number: | edsair.doi.dedup.....1a46e2b8664e1470b3442c20b5b7d767 |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | This project aimed to determine whether cranial ischaemic complications at the presentation of giant cell arteritis (GCA) were associated with pre-existing cardiovascular (CV) risk factors, CV disease or genetic risk of CV-related traits.1946 GCA patients with clinicodemographic data at GCA presentation were included. Associations between pre-existing CV-related traits (including Polygenic Risk Scores (PRS) for CV traits) and cranial ischaemic complications were tested. A model for cranial ischaemic complications was optimised using an elastic net approach. Positional gene mapping of associated PRS was performed to improve biological understanding.In a sample of 1946 GCA patients (median age=71, 68.7% female), 17% had cranial ischaemic complications at presentation. In univariable analyses, 10 variables were associated with complications (likelihood-ratio test p≤0.05). In multivariable analysis, the two variables with the strongest effects, with or without PRS in the model, were anticoagulant therapy (adjusted OR (95% CI)=0.21 (0.05 to 0.62), p=4.95×10-3) and age (adjusted OR (95% CI)=1.60 (0.73 to 3.66), p=2.52×10-3, for ≥80 years versus |
|---|---|
| ISSN: | 00034967 |
| DOI: | 10.1136/ard-2024-225515 |