Predicting sudden cardiac death in adults with congenital heart disease

August 6, 2020

Source: Heart journal

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Date of publication:  June 2020

Publication type: Research article

In a nutshell:  Objectives To develop, calibrate, test and validate a logistic regression model for accurate risk prediction of sudden cardiac death (SCD) and non-fatal sudden cardiac arrest (SCA) in adults with congenital heart disease (ACHD), based on baseline lesion-specific risk stratification and individual’s characteristics, to guide primary prevention strategies.

Length of publication:  1 webpage

Some important notes: Please contact your local NHS library if you cannot access the full text. Follow this link to find your local NHS library. https://www.hlisd.org/

Acknowledgement:   https://heart.bmj.com/


A cardiovascular disease policy model that predicts life expectancy

January 19, 2015

Source: Heart, 2015, 101 (3) p. 201-208

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Date of publication: February 2015

Publication type: Policies

In a nutshell: The primary prevention of cardiovascular disease (CVD) is a policy priority and should include the aim of reducing health inequalities. This CVD policy model was developed using data from the Scottish Heart Health Extended Cohort. It estimates the impact of risk factor modification on CVD events and non-CVD mortality to predict life expectancy, taking into account socio-economic deprivation. This policy tool can be used to estimate the impact of primary prevention interventions on life expectancy. It can also assess the impact of interventions on inequalities.

Length of publication: 8 pages

Some important notes: Please contact your local NHS library if you cannot access the full text. Follow this link to find your local NHS library.