Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Thrombosis Researcharrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Thrombosis Research
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Thrombosis Research
Article
License: CC BY
Data sources: UnpayWall
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Theses@asb
Article . 2022
License: CC BY
Data sources: Theses@asb
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 4 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Validation of the Danish Comorbidity Index for Acute Myocardial Infarction for predicting one-year mortality in patients with venous thromboembolism

Authors: Bonnesen, Kasper; Heide-Jørgensen, Uffe; Albertsen, Lisbeth Wellejus; Schmidt, Sigrun Alba Johannesdottir; Sørensen, Henrik Toft; Schmidt, Morten;

Validation of the Danish Comorbidity Index for Acute Myocardial Infarction for predicting one-year mortality in patients with venous thromboembolism

Abstract

The Danish Comorbidity Index for Acute Myocardial Infarction (DANCAMI) was developed to predict one-year mortality after myocardial infarction. We validated DANCAMI in predicting one-year mortality after venous thromboembolism (VTE).We identified all first-time VTE patients in Denmark during 2000-2015. Using Cox regression, we assessed the performance of DANCAMI to predict one-year all-cause mortality using Nagelkerke's R2, Harrell's C-Statistic, the net reclassification index (NRI), and the integrated discrimination improvement (IDI). We compared the performance of DANCAMI with the Charlson Comorbidity Index (CCI) and the Elixhauser Comorbidity Index (ECI) and evaluated whether DANCAMI comorbidities not included in the CCI predicted one-year mortality. We stratified the analyses by type (deep vein thrombosis [DVT] and pulmonary embolism [PE]) and presence of provoking risk factors.We identified 108,824 VTE patients of whom 20,649 (19%) died within one year. The R2, C-Statistic, NRI, and IDI for DANCAMI were 0.35, 0.76, 0.63, and 0.098 for VTE overall; 0.43, 0.80, 0.70, and 0.105 for DVT; and 0.24, 0.71, 0.54, and 0.083 for PE. The R2 and C-Statistic for VTE overall were 0.35 and 0.76 for CCI and 0.33 and 0.75 for ECI. After adjusting for age, sex, and all CCI comorbidities, seven DANCAMI comorbidities, not included in the CCI, predicted increased mortality. DANCAMI performed better than the CCI and ECI in predicting mortality after provoked VTE, including provoked DVT and PE.DANCAMI performed comparable to existing comorbidity indices in predicting one-year mortality after first-time VTE overall, but better after provoked VTE.

Related Organizations
Keywords

Comorbidity burden, Denmark, Myocardial Infarction, Comorbidity, Venous Thromboembolism, Risk Factors, Deep vein thrombosis, Humans, Mortality, Prediction, Pulmonary Embolism, Venous thromboembolism

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
hybrid