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1000 Titel
  • Optimizing resource allocation: Cost-effectiveness of specified D-dimer cut-offs in cancer patients with suspected venous thromboembolism
1000 Autor/in
  1. Biciusca, Teodora |
  2. Gruenewald, Leon D. |
  3. Martin, Simon S. |
  4. Gotta, Jennifer |
  5. Mahmoudi, Scherwin |
  6. Eichler, Katrin |
  7. Booz, Christian |
  8. Salbach, Christian |
  9. Müller-Hennessen, Matthias |
  10. Biener, Moritz |
  11. Yildirim, Mustafa |
  12. Milles, Barbara |
  13. Sommer, Christof M. |
  14. Vogl, Thomas J. |
  15. Giannitsis, Evangelos |
  16. Koch, Vitali |
1000 Verlag
  • Springer US
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-05-18
1000 Erschienen in
1000 Quellenangabe
  • 57(6):996-1007
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s11239-024-03000-2 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11315745/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>An accurate diagnosis of venous thromboembolism (VTE) is crucial, given the potential for high mortality in undetected cases. Strategic D-dimer testing may aid in identifying low-risk patients, preventing overdiagnosis and reducing imaging costs. We conducted a retrospective, comparative analysis to assess the potential cost savings that could be achieved by adopting different approaches to determine the most effective D-dimer cut-off value in cancer patients with suspected VTE, compared to the commonly used rule-out cut-off level of 0.5 mg/L. The study included 526 patients (median age 65, IQR 55–75) with a confirmed cancer diagnosis who underwent D-dimer testing. Among these patients, the VTE prevalence was 29% (n = 152). Each diagnostic strategy's sensitivity, specificity, negative likelihood ratio (NLR), as well as positive likelihood ratio (PLR), and the proportion of patients exhibiting a negative D-dimer test result, were calculated. The diagnostic strategy that demonstrated the best balance between specificity, sensitivity, NLR, and PLR, utilized an inverse age-specific cut-off level for D-dimer [0.5 + (66-age) × 0.01 mg/L]. This method yielded a PLR of 2.9 at a very low NLR for the exclusion of VTE. We observed a significant cost reduction of 4.6% and 1.0% for PE and DVT, respectively. The utilization of an age-adjusted cut-off [patient’s age × 0.01 mg/L] resulted in the highest cost savings, reaching 8.1% for PE and 3.4% for DVT. Using specified D-dimer cut-offs in the diagnosis of VTE could improve economics, considering the limited occurrence of confirmed cases among patients with suspected VTE.</jats:p> <jats:p><jats:bold>Graphical Abstract</jats:bold></jats:p> <jats:p>In the context of accurate diagnosis of VTE, strategic D-dimer testing helps identify low-risk patients, preventing overdiagnosis and reducing imaging costs. In our retrospective study, the diagnostic strategy that demonstrated the best balance between specificity, sensitivity, and best PLR, utilized an inverse age-specific cut-off level for D-dimer. We observed a significant cost reduction of 4.6% for PE and 1% for DVT. <jats:italic>Abbreviations: CTPA, computed tomography pulmonary angiography; CUS, compression ultrasound; DVT, deep vein thrombosis; PE, pulmonary embolism; VTE, venous thromboembolism.</jats:italic></jats:p>
1000 Sacherschließung
lokal Female [MeSH]
lokal Cost-Benefit Analysis [MeSH]
lokal Cancer
lokal Aged [MeSH]
lokal Venous Thromboembolism/economics [MeSH]
lokal Humans [MeSH]
lokal Deep vein thrombosis
lokal Cost-effectiveness analysis
lokal D-dimer
lokal Neoplasms/diagnosis [MeSH]
lokal Retrospective Studies [MeSH]
lokal Middle Aged [MeSH]
lokal Venous Thromboembolism/blood [MeSH]
lokal Venous thromboembolism
lokal Article
lokal Pulmonary embolism
lokal Male [MeSH]
lokal Fibrin Fibrinogen Degradation Products/analysis [MeSH]
lokal Resource Allocation [MeSH]
lokal Venous Thromboembolism/diagnosis [MeSH]
lokal Cost Savings [MeSH]
lokal Neoplasms/blood [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7423-2926|https://frl.publisso.de/adhoc/uri/R3J1ZW5ld2FsZCwgTGVvbiBELg==|https://frl.publisso.de/adhoc/uri/TWFydGluLCBTaW1vbiBTLg==|https://frl.publisso.de/adhoc/uri/R290dGEsIEplbm5pZmVy|https://frl.publisso.de/adhoc/uri/TWFobW91ZGksIFNjaGVyd2lu|https://frl.publisso.de/adhoc/uri/RWljaGxlciwgS2F0cmlu|https://frl.publisso.de/adhoc/uri/Qm9veiwgQ2hyaXN0aWFu|https://frl.publisso.de/adhoc/uri/U2FsYmFjaCwgQ2hyaXN0aWFu|https://frl.publisso.de/adhoc/uri/TcO8bGxlci1IZW5uZXNzZW4sIE1hdHRoaWFz|https://frl.publisso.de/adhoc/uri/QmllbmVyLCBNb3JpdHo=|https://frl.publisso.de/adhoc/uri/WWlsZGlyaW0sIE11c3RhZmE=|https://frl.publisso.de/adhoc/uri/TWlsbGVzLCBCYXJiYXJh|https://frl.publisso.de/adhoc/uri/U29tbWVyLCBDaHJpc3RvZiBNLg==|https://frl.publisso.de/adhoc/uri/Vm9nbCwgVGhvbWFzIEou|https://frl.publisso.de/adhoc/uri/R2lhbm5pdHNpcywgRXZhbmdlbG9z|https://frl.publisso.de/adhoc/uri/S29jaCwgVml0YWxp
1000 Hinweis
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  1. Johann Wolfgang Goethe-Universität, Frankfurt am Main |
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    1000 Förderer Johann Wolfgang Goethe-Universität, Frankfurt am Main |
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