Prediction of first cardiovascular disease event in 2.9 million individuals using Danish administrative healthcare data: a nationwide, registry-based derivation and validation study.

Cardiovascular disease Nationwide Primary prevention Registries Risk prediction Risk stratification

Journal

European heart journal open
ISSN: 2752-4191
Titre abrégé: Eur Heart J Open
Pays: England
ID NLM: 9918282081406676

Informations de publication

Date de publication:
Sep 2021
Historique:
received: 15 07 2021
accepted: 31 07 2021
entrez: 3 8 2022
pubmed: 4 8 2022
medline: 4 8 2022
Statut: epublish

Résumé

The aim of this study was to derive and validate a risk prediction model with nationwide coverage to predict the individual and population-level risk of cardiovascular disease (CVD). All 2.98 million Danish residents aged 30-85 years free of CVD were included on 1 January 2014 and followed through 31 December 2018 using nationwide administrative healthcare registries. Model predictors and outcome were pre-specified. Predictors were age, sex, education, use of antithrombotic, blood pressure-lowering, glucose-lowering, or lipid-lowering drugs, and a smoking proxy of smoking-cessation drug use or chronic obstructive pulmonary disease. Outcome was 5-year risk of first CVD event, a combination of ischaemic heart disease, heart failure, peripheral artery disease, stroke, or cardiovascular death. Predictions were computed using cause-specific Cox regression models. The final model fitted in the full data was internally-externally validated in each Danish Region. The model was well-calibrated in all regions. Area under the receiver operating characteristic curve (AUC) and Brier scores ranged from 76.3% to 79.6% and 3.3 to 4.4. The model was superior to an age-sex benchmark model with differences in AUC and Brier scores ranging from 1.2% to 1.5% and -0.02 to -0.03. Average predicted risks in each Danish municipality ranged from 2.8% to 5.9%. Predicted risks for a 66-year old ranged from 2.6% to 25.3%. Personalized predicted risks across ages 30-85 were presented in an online calculator (https://hjerteforeningen.shinyapps.io/cvd-risk-manuscript/). A CVD risk prediction model based solely on nationwide administrative registry data provided accurate prediction of personal and population-level 5-year first CVD event risk in the Danish population. This may inform clinical and public health primary prevention efforts.

Identifiants

pubmed: 35919262
doi: 10.1093/ehjopen/oeab015
pii: oeab015
pmc: PMC9241501
doi:

Types de publication

Journal Article

Langues

eng

Pagination

oeab015

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.

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Auteurs

Daniel Mølager Christensen (DM)

The Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.

Matthew Phelps (M)

The Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.

Thomas Gerds (T)

The Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.
Department of Biostatistics, University of Copenhagen, Øster Farimagsgade 5, Copenhagen 1014, Denmark.

Morten Malmborg (M)

The Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.

Anne-Marie Schjerning (AM)

The Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.
Department of Cardiology, Zealand University Hospital, Sygehusvej 10, Roskilde 4000, Denmark.

Jarl Emanuel Strange (JE)

Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Kildegårdsvej 28, Hellerup 2900, Denmark.

Mohamad El-Chouli (M)

The Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.

Lars Bruun Larsen (LB)

Research Unit of General Practice, University of Southern Denmark, J. B. Winsløws Vej 9A, Odense 5000, Denmark.
Steno Diabetes Center Sjælland, Region of Zealand, Birkevænget 3, 3rd floor, Holbæk 4300, Denmark.

Emil Fosbøl (E)

Department of Cardiology, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark.

Lars Køber (L)

Department of Cardiology, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark.

Christian Torp-Pedersen (C)

Department of Clinical Research, Nordsjaellands Hospital, Dyrehavevej 29, Hillerød 3400, Denmark.
Department of Cardiology, Aalborg University Hospital, Hobrovej 18-22, Aalborg 9100, Denmark.

Suneela Mehta (S)

Section of Epidemiology and Biostatistics, University of Auckland, Park Ave 22-30, Grafton, Auckland, New Zealand.
Waitematā and Auckland District Health Boards, Shea Tce 15, Level 2, Takapuna, Auckland City 0622, New Zealand.

Rod Jackson (R)

Section of Epidemiology and Biostatistics, University of Auckland, Park Ave 22-30, Grafton, Auckland, New Zealand.

Gunnar Gislason (G)

The Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.
Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Kildegårdsvej 28, Hellerup 2900, Denmark.

Classifications MeSH