Myocardial dysfunction in long‐term breast cancer survivors treated at ages 40–50 years Article Swipe
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· 2019
· Open Access
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· DOI: https://doi.org/10.1002/ejhf.1610
Aims Anthracyclines increase heart failure (HF) risk, but the long‐term prevalence of myocardial dysfunction in young breast cancer (BC) survivors is unknown. Early measures of left ventricular myocardial dysfunction are needed to identify BC patients at risk of symptomatic HF. Methods and results Within an established cohort, we studied markers for myocardial dysfunction among 569 women, who were 5–7 years ( n = 277) or 10–12 years ( n = 292) after BC treatment at ages 40–50 years. Left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS) were assessed by echocardiography. N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) was measured in serum. Associations between patient‐related and treatment‐related risk factors and myocardial dysfunction were evaluated using linear and logistic regression. Median ages at BC diagnosis and cardiac assessment were 46.7 and 55.5 years, respectively. Anthracycline‐treated patients ( n = 313), compared to the no‐anthracycline group ( n = 256), more often had decreased LVEF (10% vs. 4%), impaired GLS (34% vs. 27%) and elevated NT‐proBNP (23% vs. 8%). GLS and LVEF declined in a linear fashion with increasing cumulative anthracycline dose (GLS: +0.23 and LVEF: −0.40 per cycle of 60 mg/m 2 ; P < 0.001) and GLS was worse for patients with left breast irradiation. The risk of NT‐proBNP >125 ng/L was highest for patients who received 241–300 mg/m 2 anthracycline dose compared to the no‐anthracycline group (odds ratio: 3.30, 95% confidence interval: 1.83–5.96). Conclusion Impaired GLS and increased NT‐proBNP levels are present in a substantial proportion of young BC survivors treated with anthracyclines. Whether this will lead to future cardiac disease needs to be evaluated by longitudinal assessment.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/ejhf.1610
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ejhf.1610
- OA Status
- hybrid
- Cited By
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- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W2983531133Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/ejhf.1610Digital Object Identifier
- Title
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Myocardial dysfunction in long‐term breast cancer survivors treated at ages 40–50 yearsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-11-06Full publication date if available
- Authors
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Judy N. Jacobse, Lars C. Steggink, Gabe S. Sonke, Michael Schaapveld, Yoran M. Hummel, Tessa G. Steenbruggen, Joop D. Lefrandt, Janine Nuver, Anne P.G. Crijns, Berthe M.P. Aleman, Peter van der Meer, Jourik A. Gietema, Flora E. van LeeuwenList of authors in order
- Landing page
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https://doi.org/10.1002/ejhf.1610Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ejhf.1610Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ejhf.1610Direct OA link when available
- Concepts
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Medicine, Breast cancer, Term (time), Heart failure, Internal medicine, Cancer, Oncology, Pediatrics, Cardiology, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
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37Total citation count in OpenAlex
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2025: 5, 2024: 3, 2023: 8, 2022: 11, 2021: 4Per-year citation counts (last 5 years)
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31Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Left | 79 |
| abstract_inverted_index.ages | 76, 120 |
| abstract_inverted_index.dose | 179, 221 |
| abstract_inverted_index.lead | 257 |
| abstract_inverted_index.left | 26, 202 |
| abstract_inverted_index.mg/m | 189, 218 |
| abstract_inverted_index.more | 148 |
| abstract_inverted_index.ng/L | 210 |
| abstract_inverted_index.risk | 37, 107, 206 |
| abstract_inverted_index.this | 255 |
| abstract_inverted_index.were | 58, 89, 112, 127 |
| abstract_inverted_index.will | 256 |
| abstract_inverted_index.with | 175, 201, 252 |
| abstract_inverted_index.(GLS) | 88 |
| abstract_inverted_index.(GLS: | 180 |
| abstract_inverted_index.(odds | 227 |
| abstract_inverted_index.+0.23 | 181 |
| abstract_inverted_index.256), | 147 |
| abstract_inverted_index.3.30, | 229 |
| abstract_inverted_index.313), | 138 |
| abstract_inverted_index.5–7 | 59 |
| abstract_inverted_index.Early | 23 |
| abstract_inverted_index.LVEF: | 183 |
| abstract_inverted_index.after | 72 |
| abstract_inverted_index.among | 54 |
| abstract_inverted_index.cycle | 186 |
| abstract_inverted_index.group | 143, 226 |
| abstract_inverted_index.heart | 4 |
| abstract_inverted_index.needs | 262 |
| abstract_inverted_index.often | 149 |
| abstract_inverted_index.risk, | 7 |
| abstract_inverted_index.using | 114 |
| abstract_inverted_index.worse | 198 |
| abstract_inverted_index.years | 60, 67 |
| abstract_inverted_index.young | 16, 248 |
| abstract_inverted_index.(LVEF) | 83 |
| abstract_inverted_index.0.001) | 194 |
| abstract_inverted_index.Median | 119 |
| abstract_inverted_index.Within | 44 |
| abstract_inverted_index.breast | 17, 203 |
| abstract_inverted_index.cancer | 18 |
| abstract_inverted_index.future | 259 |
| abstract_inverted_index.global | 85 |
| abstract_inverted_index.levels | 240 |
| abstract_inverted_index.linear | 115, 173 |
| abstract_inverted_index.needed | 31 |
| abstract_inverted_index.ratio: | 228 |
| abstract_inverted_index.serum. | 101 |
| abstract_inverted_index.strain | 87 |
| abstract_inverted_index.women, | 56 |
| abstract_inverted_index.years, | 131 |
| abstract_inverted_index.years. | 78 |
| abstract_inverted_index.>125 | 209 |
| abstract_inverted_index.10–12 | 66 |
| abstract_inverted_index.40–50 | 77 |
| abstract_inverted_index.Methods | 41 |
| abstract_inverted_index.Whether | 254 |
| abstract_inverted_index.between | 103 |
| abstract_inverted_index.cardiac | 125, 260 |
| abstract_inverted_index.cohort, | 47 |
| abstract_inverted_index.disease | 261 |
| abstract_inverted_index.factors | 108 |
| abstract_inverted_index.failure | 5 |
| abstract_inverted_index.fashion | 174 |
| abstract_inverted_index.highest | 212 |
| abstract_inverted_index.markers | 50 |
| abstract_inverted_index.peptide | 96 |
| abstract_inverted_index.present | 242 |
| abstract_inverted_index.results | 43 |
| abstract_inverted_index.studied | 49 |
| abstract_inverted_index.treated | 251 |
| abstract_inverted_index.−0.40 | 184 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Impaired | 235 |
| abstract_inverted_index.assessed | 90 |
| abstract_inverted_index.compared | 139, 222 |
| abstract_inverted_index.declined | 170 |
| abstract_inverted_index.ejection | 81 |
| abstract_inverted_index.elevated | 162 |
| abstract_inverted_index.fraction | 82 |
| abstract_inverted_index.identify | 33 |
| abstract_inverted_index.impaired | 156 |
| abstract_inverted_index.increase | 3 |
| abstract_inverted_index.logistic | 117 |
| abstract_inverted_index.measured | 99 |
| abstract_inverted_index.measures | 24 |
| abstract_inverted_index.patients | 35, 134, 200, 214 |
| abstract_inverted_index.received | 216 |
| abstract_inverted_index.unknown. | 22 |
| abstract_inverted_index.241–300 | 217 |
| abstract_inverted_index.decreased | 151 |
| abstract_inverted_index.diagnosis | 123 |
| abstract_inverted_index.evaluated | 113, 265 |
| abstract_inverted_index.increased | 238 |
| abstract_inverted_index.interval: | 232 |
| abstract_inverted_index.survivors | 20, 250 |
| abstract_inverted_index.treatment | 74 |
| abstract_inverted_index.Conclusion | 234 |
| abstract_inverted_index.assessment | 126 |
| abstract_inverted_index.confidence | 231 |
| abstract_inverted_index.cumulative | 177 |
| abstract_inverted_index.increasing | 176 |
| abstract_inverted_index.myocardial | 13, 28, 52, 110 |
| abstract_inverted_index.prevalence | 11 |
| abstract_inverted_index.proportion | 246 |
| abstract_inverted_index.NT‐proBNP | 163, 208, 239 |
| abstract_inverted_index.assessment. | 268 |
| abstract_inverted_index.dysfunction | 14, 29, 53, 111 |
| abstract_inverted_index.established | 46 |
| abstract_inverted_index.long‐term | 10 |
| abstract_inverted_index.natriuretic | 95 |
| abstract_inverted_index.pro‐brain | 94 |
| abstract_inverted_index.regression. | 118 |
| abstract_inverted_index.substantial | 245 |
| abstract_inverted_index.symptomatic | 39 |
| abstract_inverted_index.ventricular | 27, 80 |
| abstract_inverted_index.Associations | 102 |
| abstract_inverted_index.N‐terminal | 93 |
| abstract_inverted_index.irradiation. | 204 |
| abstract_inverted_index.longitudinal | 86, 267 |
| abstract_inverted_index.(NT‐proBNP) | 97 |
| abstract_inverted_index.1.83–5.96). | 233 |
| abstract_inverted_index.anthracycline | 178, 220 |
| abstract_inverted_index.respectively. | 132 |
| abstract_inverted_index.Anthracyclines | 2 |
| abstract_inverted_index.anthracyclines. | 253 |
| abstract_inverted_index.echocardiography. | 92 |
| abstract_inverted_index.patient‐related | 104 |
| abstract_inverted_index.no‐anthracycline | 142, 225 |
| abstract_inverted_index.treatment‐related | 106 |
| abstract_inverted_index.Anthracycline‐treated | 133 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5030601121 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I2898336195, https://openalex.org/I4210111138 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.93607718 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |