The distribution of lifespan gain from primary prevention intervention
File(s)
Author(s)
Type
Journal Article
Abstract
Objective: When advising patients about possible initiation of primary prevention treatment, clinicians currently do not have information on expected impact on lifespan, nor how much this increment differs between individuals.
Methods: First, UK cardiovascular and non-cardiovascular mortality data was used to calculate the mean lifespan gain from an intervention (such as a statin) that reduces cardiovascular mortality by 30%. Second, a new method was developed to calculate the probability distribution of lifespan gain. Third, we performed a survey in 3 UK cities on 11 days between May-June 2014 involving 396 participants (mean age 40 years, 55% male) to assess how individuals evaluate potential benefit from primary prevention therapies.
Results:
Amongst numerous identical patients the lifespan gain, from an intervention that reduces cardiovascular mortality by 30%, is concentrated within an unpredictable minority. For example, 50-year-old males with national-average cardiovascular risk have mean lifespan gain of 7 months. However, 93% of these identical individuals gain no lifespan, while the remaining 7% gain a mean of 99 months.
Many survey respondents preferred a chance of large lifespan gain to the identical life-expectancy gain given as certainty. Indeed, 33% preferred a 2% probability of 10 years to 5-fold more gain, expressed as certainty of 1 year.
Conclusions:
People who gain lifespan from preventative therapy gain far more than the average for their risk stratum, even if perfectly defined. This may be important in patient decision-making. Looking beyond mortality reduction alone from preventative therapy, the benefits are likely to be even larger.
Methods: First, UK cardiovascular and non-cardiovascular mortality data was used to calculate the mean lifespan gain from an intervention (such as a statin) that reduces cardiovascular mortality by 30%. Second, a new method was developed to calculate the probability distribution of lifespan gain. Third, we performed a survey in 3 UK cities on 11 days between May-June 2014 involving 396 participants (mean age 40 years, 55% male) to assess how individuals evaluate potential benefit from primary prevention therapies.
Results:
Amongst numerous identical patients the lifespan gain, from an intervention that reduces cardiovascular mortality by 30%, is concentrated within an unpredictable minority. For example, 50-year-old males with national-average cardiovascular risk have mean lifespan gain of 7 months. However, 93% of these identical individuals gain no lifespan, while the remaining 7% gain a mean of 99 months.
Many survey respondents preferred a chance of large lifespan gain to the identical life-expectancy gain given as certainty. Indeed, 33% preferred a 2% probability of 10 years to 5-fold more gain, expressed as certainty of 1 year.
Conclusions:
People who gain lifespan from preventative therapy gain far more than the average for their risk stratum, even if perfectly defined. This may be important in patient decision-making. Looking beyond mortality reduction alone from preventative therapy, the benefits are likely to be even larger.
Date Issued
2016-03-11
Date Acceptance
2016-01-02
Citation
Open Heart, 2016, 3
ISSN
2053-3624
Publisher
BMJ Publishing Group
Journal / Book Title
Open Heart
Volume
3
Copyright Statement
This is an Open Access article distributed in accordance with
the terms of the Creative Commons Attribution (CC BY 4.0) license, which
permits others to distribute, remix, adapt and build upon this work, for
commercial use, provided the original work is properly cited. See: http://
creativecommons.org/licenses/by/4.0/
the terms of the Creative Commons Attribution (CC BY 4.0) license, which
permits others to distribute, remix, adapt and build upon this work, for
commercial use, provided the original work is properly cited. See: http://
creativecommons.org/licenses/by/4.0/
License URL
Publication Status
Published
Article Number
e000343