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Incidence and predictors of serious bleeding during long-term follow-up after acute coronary syndrome in a population-based cohort study
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Section of Medicine.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Section of Medicine.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Section of Medicine.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Section of Medicine.
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2021 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 11, no 1, article id 21967Article in journal (Refereed) Published
Abstract [en]

Progress in decreasing ischemic complications in acute coronary syndrome (ACS) has come at the expense of increased bleeding risk. We estimated the long-term, post-discharge incidence of serious bleeding, characterized bleeding type, and identified predictors of bleeding and its impact on mortality in an unselected cohort of patients with ACS. In this population-based study, we included 1379 patients identified with an ACS, 2010–2014. Serious bleeding was defined as intracranial hemorrhage (ICH), bleeding requiring hospital admission, or bleeding requiring transfusion or surgery. During a median 4.6-year follow-up, 85 patients had ≥ 1 serious bleed (cumulative incidence, 8.6%; 95% confidence interval (CI) 8.3–8.9). A subgroup of 557 patients, aged ≥ 75 years had a higher incidence (13.4%) than younger patients (6.0%). The most common bleeding site was gastrointestinal (51%), followed by ICH (27%). Sixteen percent had a recurrence. Risk factors for serious bleeding were age ≥ 75 years, lower baseline hemoglobin (Hb) value, previous hypertension or heart failure. Serious bleeding was associated with increased mortality. Bleeding after ACS was fairly frequent and the most common bleeding site was gastrointestinal. Older age, lower baseline Hb value, hypertension and heart failure predicted bleeding. Bleeding did independently predict mortality.

Place, publisher, year, edition, pages
2021. Vol. 11, no 1, article id 21967
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Cardiology and Cardiovascular Disease
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URN: urn:nbn:se:umu:diva-189587DOI: 10.1038/s41598-021-01525-7ISI: 000716666700106Scopus ID: 2-s2.0-85118683192OAI: oai:DiVA.org:umu-189587DiVA, id: diva2:1611865
Available from: 2021-11-16 Created: 2021-11-16 Last updated: 2025-02-10Bibliographically approved

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Graipe, AnnaUlvenstam, AndersIrewall, Anna-LottaMooe, Thomas

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