Management of Atrial Fibrillation in Older Patients by Morbidity Burden: Insights From Get With The Guidelines-Atrial Fibrillation.
dc.contributor.author | Dalgaard, Frederik | |
dc.contributor.author | Xu, Haolin | |
dc.contributor.author | Matsouaka, Roland A | |
dc.contributor.author | Russo, Andrea M | |
dc.contributor.author | Curtis, Anne B | |
dc.contributor.author | Rasmussen, Peter Vibe | |
dc.contributor.author | Ruwald, Martin H | |
dc.contributor.author | Fonarow, Gregg C | |
dc.contributor.author | Lowenstern, Angela | |
dc.contributor.author | Hansen, Morten L | |
dc.contributor.author | Pallisgaard, Jannik L | |
dc.contributor.author | Alexander, Karen P | |
dc.contributor.author | Alexander, John H | |
dc.contributor.author | Lopes, Renato D | |
dc.contributor.author | Granger, Christopher B | |
dc.contributor.author | Lewis, William R | |
dc.contributor.author | Piccini, Jonathan P | |
dc.contributor.author | Al-Khatib, Sana M | |
dc.date.accessioned | 2021-05-10T18:07:12Z | |
dc.date.available | 2021-05-10T18:07:12Z | |
dc.date.issued | 2020-12 | |
dc.date.updated | 2021-05-10T18:07:10Z | |
dc.description.abstract | Background Knowledge is scarce regarding how multimorbidity is associated with therapeutic decisions regarding oral anticoagulants (OACs) in patients with atrial fibrillation. Methods and Results We conducted a cross-sectional study of hospitalized patients with atrial fibrillation using the Get With The Guidelines-Atrial Fibrillation registry from 2013 to 2019. We identified patients ≥65 years and eligible for OAC therapy. Using 16 available comorbidity categories, patients were stratified by morbidity burden. A multivariable logistic regression model was used to determine the odds of receiving OAC prescription at discharge by morbidity burden. We included 34 174 patients with a median (interquartile range) age of 76 (71-83) years, 56.6% women, and 41.9% were not anticoagulated at admission. Of these patients, 38.6% had 0 to 2 comorbidities, 50.7% had 3 to 5 comorbidities, and 10.7% had ≥6 comorbidities. The overall discharge OAC prescription was high (85.6%). The prevalence of patients with multimorbidity increased from 59.7% in 2014 to 64.3% in 2019 (P trend=0.002). Using 0 to 2 comorbidities as the reference, the adjusted odds ratio (95% CI) of OAC prescription were 0.93 (0.82, 1.05) for patients with 3 to 5 comorbidities and 0.72 (0.60, 0.86) for patients with ≥6 comorbidities. In those with ≥6 comorbidities, the most common reason for nonprescription of OACs were frequent falls/frailty (31.0%). Conclusions In a contemporary quality-of-care database of hospitalized patients with atrial fibrillation eligible for OAC therapy, multimorbidity was common. A higher morbidity burden was associated with a lower odds of OAC prescription. This highlights the need for interventions to improve adherence to guideline-recommended anticoagulation in multimorbid patients with atrial fibrillation. | |
dc.identifier.issn | 2047-9980 | |
dc.identifier.issn | 2047-9980 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Ovid Technologies (Wolters Kluwer Health) | |
dc.relation.ispartof | Journal of the American Heart Association | |
dc.relation.isversionof | 10.1161/jaha.120.017024 | |
dc.subject | Humans | |
dc.subject | Atrial Fibrillation | |
dc.subject | Anticoagulants | |
dc.subject | Hospitalization | |
dc.subject | Administration, Oral | |
dc.subject | Registries | |
dc.subject | Logistic Models | |
dc.subject | Odds Ratio | |
dc.subject | Cross-Sectional Studies | |
dc.subject | Age Factors | |
dc.subject | Aged | |
dc.subject | Aged, 80 and over | |
dc.subject | Female | |
dc.subject | Male | |
dc.subject | Practice Guidelines as Topic | |
dc.subject | Practice Patterns, Physicians' | |
dc.subject | Multimorbidity | |
dc.title | Management of Atrial Fibrillation in Older Patients by Morbidity Burden: Insights From Get With The Guidelines-Atrial Fibrillation. | |
dc.type | Journal article | |
duke.contributor.orcid | Xu, Haolin|0000-0003-1069-9567 | |
duke.contributor.orcid | Matsouaka, Roland A|0000-0002-0271-5400 | |
duke.contributor.orcid | Alexander, Karen P|0000-0003-4418-1424 | |
duke.contributor.orcid | Alexander, John H|0000-0002-1444-2462 | |
duke.contributor.orcid | Lopes, Renato D|0000-0003-2999-4961 | |
duke.contributor.orcid | Granger, Christopher B|0000-0002-0045-3291 | |
duke.contributor.orcid | Piccini, Jonathan P|0000-0003-0772-2404 | |
duke.contributor.orcid | Al-Khatib, Sana M|0000-0002-3561-0146 | |
pubs.begin-page | e017024 | |
pubs.issue | 23 | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Duke Clinical Research Institute | |
pubs.organisational-group | Biostatistics & Bioinformatics | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | Medicine, Cardiology | |
pubs.organisational-group | Medicine | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Nursing | |
pubs.organisational-group | School of Nursing | |
pubs.organisational-group | Population Health Sciences | |
pubs.organisational-group | Staff | |
pubs.publication-status | Published | |
pubs.volume | 9 |
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