scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Reaching detection targets in familial hypercholesterolaemia: Comparison of identification strategies.

01 Jan 2020-Atherosclerosis (Atherosclerosis)-Vol. 293, pp 57-61
TL;DR: Child-parent Cascade Screening is the fastest strategy for identifying FH in the population and is applicable to any country to close the FH detection gap.
About: This article is published in Atherosclerosis.The article was published on 2020-01-01 and is currently open access. It has received 26 citations till now. The article focuses on the topics: Population.

Summary (2 min read)

Introduction

  • Familial hypercholesterolemia (FH) is a common and preventable cause of premature ischaemic heart disease (IHD).
  • There are about 260,000 heterozygous affected individuals in the UK (prevalence 1 in 250) who have about a 100-fold excess risk of fatal myocardial infarction between ages 20 and 39 years. [1].
  • How this would be delivered was not specified.
  • The authors use publicly available data to compare the time to reach 25%, 50% and 75% identification for the UK, its home nations and other countries where estimates of FH identification have been recently reported.

Cascade Testing

  • The authors assumed that all new index cases are unrelated (or else they would identify each other) to provide a best-case estimate and that all available relatives are identified within a year of identifying an index case.
  • In the model the authors reduced the number of new index cases identified per year in proportion to the population increase in FH detection each year.

Child-parent Screening

  • For Child-parent Screening a model was developed that avoids counting affected parents twice if more than one child in a family is identified as positive for FH.
  • This applies from the 3rd year of screening onwards, because the average time between births in a family is 2 years. [10].
  • The authors also avoided double-counting parents when a child, previously identified as positive, becomes a parent and has their own children screened.
  • The equations for the first 2 years of screening and from the 3rd year onwards are shown in Supplementary Figure 2.
  • The number (N) of 1-year old children (the age at screening) is the number of births per year and screening uptake (U) is the proportion attending for immunization at 1 year multiplied by the acceptance of the offer of screening among immunized children.

Child-parent Cascade Screening

  • For Child-parent Cascade Screening each FH positive child also leads to the identification of their affected siblings (older siblings in the first two years of screening) and grandparent.
  • Office for National Statistics (2017) data were used for population size [12], fertility rate [13], maternal age distribution [10] and the number of deaths per year [14] and WHO/UNICEF data for immunization coverage. [15].
  • Input data are summarised in Supplementary Table 1.
  • Sensitivity analyses were performed to examine the effect of doubling the efficacy of Cascade Testing (number of new per known cases identified) and increasing the uptake of Child-parent Screening by 10% points.

Results

  • Figure 1 shows plots of FH identification for Cascade Testing, Child-parent Screening and Child-parent Cascade Screening in the UK.
  • The results show that the 25% NHS identification target is reached after 47 years, 12 years and after 8 years respectively.
  • The plots are curved, because the rate of identification declines with increasing proportions of all cases found for each strategy.
  • Comparable plots for England, Scotland, Wales and Northern Ireland are given in Supplementary Figure 4.
  • Table 2 gives the time to identify 25%, 50% and 75% of all FH cases by Child-parent Cascade Screening for 12 countries (including the 4 home nations of the UK) where current proportions of known FH have been reported.

Discussion

  • The results of this analysis show that the fastest strategy for closing the identification gap in FH is Child-parent Cascade Screening, an integration of universal screening in childhood, based on total cholesterol measurement supported by FH mutation testing during immunisation and subsequent Cascade Testing within mutation-positive families.
  • The estimate for Child-parent Cascade Screening [19] is likely to be high because it assumed a lower rate of FH identification for Child-parent Screening than was observed in practice.[8].
  • Both child, and parent benefit from such screening, from life-style interventions and the timely introduction of drug therapy (principally statins); but the child benefits twice, once by reducing his/her own risk of premature ischaemic heart disease and again by avoiding the premature death of a parent.
  • The authors projections are presented as the proportion of all cases of FH identified in the population, rather than in specified age groups, because identification targets are likely to be set for the whole population, as they have been in the UK.
  • Conflicts of Interest: None Funding: None Acknowledgements:.

Figure Legend

  • Proportion of all FH cases in the UK identified over time for Cascade Testing, Childparent Screening and Child-parent Cascade Screening (integration of first two methods), also known as Figure 1.
  • NHS 25% target denoted by horizontal dotted line.
  • Supplementary Figure 1: Flowchart for estimating the number of FH cases identified each year by Cascade Testing Supplementary Figure 2: Flowchart for estimating the number of FH cases identified each year by Child-parent Screening Supplementary Figure 3: Flowchart for estimating the number of FH cases identified by Child-parent Cascade Screening (i):.
  • In the 1st and 2nd years of Child-parent Cascade Screening (ii): Each year, in the 3rd year and onwards of Child-parent Cascade Screening Supplementary Figure 4: Time to detect proportions of all FH for England, Scotland, Wales, and Northern Ireland.

Did you find this useful? Give us your feedback

Citations
More filters
Journal ArticleDOI
TL;DR: The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update as discussed by the authors .
Abstract: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

1,483 citations

Journal ArticleDOI
TL;DR: The 2023 Statistical Update as mentioned in this paper provides the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health.
Abstract: Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). Methods: The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year’s worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year’s edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. Results: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. Conclusions: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

300 citations

Journal ArticleDOI
TL;DR: The 2023 Statistical Update as mentioned in this paper provides the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health.
Abstract: Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). Methods: The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year’s worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year’s edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. Results: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. Conclusions: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

114 citations

01 Jan 2018
TL;DR: A systematic review and quantitative data synthesis as mentioned in this paper reviewed quantitative evidence on coverage (the proportion of eligible individuals who attend, uptake (proportion of invitees who attend), and impact of NHS Health Checks, and concluded that just under half (48.2%) of those invited have taken up the invitation.
Abstract: BACKGROUND Since 2009, all eligible persons in England have been entitled to an NHS Health Check. Uncertainty remains about who attends, and the health-related impacts. AIM To review quantitative evidence on coverage (the proportion of eligible individuals who attend), uptake (proportion of invitees who attend), and impact of NHS Health Checks. DESIGN AND SETTING A systematic review and quantitative data synthesis. Included were studies or data reporting coverage or uptake and studies reporting any health-related impact that used an appropriate comparison group or before- and-after study design. METHOD Eleven databases and additional internet sources were searched to November 2016. RESULTS Twenty-six observational studies and one additional dataset were included. Since 2013, 45.6% of eligible individuals have received a health check. Coverage is higher among older people, those with a family history of coronary heart disease, those living in the most deprived areas, and some ethnic minority groups. Just under half (48.2%) of those invited have taken up the invitation. Data on uptake and impact (especially regarding health-related behaviours) are limited. Uptake is higher in older people and females, but lower in those living in the most deprived areas. Attendance is associated with small increases in disease detection, decreases in modelled cardiovascular disease risk, and increased statin and antihypertensive prescribing. CONCLUSION Published attendance, uptake, and prescribing rates are all lower than originally anticipated, and data on impact are limited, with very few studies reporting the effect of attendance on health-related behaviours. High-quality studies comparing matched attendees and non-attendees and health economic analyses are required.

19 citations

Journal ArticleDOI
TL;DR: Investigation of familial hypercholesterolemia can be enhanced by optimizing current diagnostic algorithms, probing electronic health records with novel information technologies and integrating universal screening of children with cascade testing of parents and other relatives.
Abstract: Purpose of review Studies reaffirm that familial hypercholesterolemia is more prevalent than initially considered, with a population frequency of approximately one in 300. The majority of patients remains unidentified. This warrants critical evaluation of existing screening methods and exploration of novel methods of detection. Recent findings New public policy recommendations on the detection of familial hypercholesterolemia have been made by a global community of experts and advocates. Phenotypic tools for diagnosing index cases remain inaccurate. Genetic testing is the gold standard for familial hypercholesterolemia and a new international position statement has been published. Correction of LDL cholesterol (LDL-C) for the cholesterol content of lipoprotein(a) [Lp(a)] may increase the precision of the phenotypic diagnosis of familial hypercholesterolemia. Cascade cotesting for familial hypercholesterolemia and elevated Lp(a) levels provides a new opportunity to stratify risk in families. Digital technology and machine learning methods, coupled with clinical alert and decision support systems, lead the way in more efficient approaches for detecting and managing index cases. Universal screening of children, combined with child-parent cascade testing, appears to be the most effective method for underpinning a population strategy for maximizing the detection of familial hypercholesterolemia. Summary Detection of familial hypercholesterolemia can be enhanced by optimizing current diagnostic algorithms, probing electronic health records with novel information technologies and integrating universal screening of children with cascade testing of parents and other relatives.

18 citations

Related Papers (5)
Katherine Wilemon, Jasmine Patel, Carlos A. Aguilar-Salinas, Catherine D. Ahmed, Mutaz Alkhnifsawi, Wael Almahmeed, Rodrigo Alonso, Khalid Al-Rasadi, Lina Badimon, Luz M Bernal, Martin Prøven Bogsrud, Lynne T. Braun, Liam R. Brunham, Alberico L. Catapano, Kristyna Cillíková, Pablo Corral, Regina Cuevas, Joep C. Defesche, Olivier S. Descamps, Sarah D. de Ferranti, Sarah D. de Ferranti, Jean-Luc Eiselé, Gerardo Elikir, Emanuela Folco, Tomáš Freiberger, Francesco Fuggetta, I.M. Gaspar, Ákos G Gesztes, Urh Groselj, Ian Hamilton-Craig, Gabriele Hanauer-Mader, Mariko Harada-Shiba, Gloria Hastings, G. Kees Hovingh, Maria Cristina de Oliveira Izar, Allison Jamison, Gunnar N Karlsson, Meral Kayıkçıoğlu, Sue Koob, Masahiro Koseki, Stacey R. Lane, Marcos M. Lima-Martínez, Greizy López, Tania Leme da Rocha Martinez, David Marais, Letrillart Marion, Pedro Mata, Inese Maurina, Diana Maxwell, Roopa Mehta, George A. Mensah, André R. Miserez, Dermot Neely, Stephen J. Nicholls, Atsushi Nohara, Børge G. Nordestgaard, Børge G. Nordestgaard, Leiv Ose, Leiv Ose, Athanasios Pallidis, Jing Pang, Jules Payne, Amy L. Peterson, Monica P Popescu, Raman Puri, Kausik K. Ray, Ashraf Reda, Tiziana Sampietro, Raul D. Santos, Inge Schalkers, Laura Schreier, Michael D. Shapiro, Eric J.G. Sijbrands, Daniel Soffer, Claudia Stefanutti, Mario Stoll, Rody G. Sy, Martha L. Tamayo, Myra Tilney, Myra Tilney, Lale Tokgozoglu, Brian Tomlinson, Antonio J. Vallejo-Vaz, Alejandra Vázquez-Cárdenas, Patrícia Vieira de Luca, David S. Wald, Gerald F. Watts, Gerald F. Watts, Nanette K. Wenger, Michaela Wolf, Darien Wood, Aram Zegerius, Thomas A. Gaziano, Thomas A. Gaziano, Samuel S. Gidding 
Frequently Asked Questions (12)
Q1. What have the authors contributed in "Reaching detection targets in familial hypercholesterolaemia; comparison of identification strategies" ?

In this paper, the authors developed a model to estimate the time to identify different proportions of FH in the population for the three identification strategies. 

Office for National Statistics (2017) data were used for population size [12], fertility rate [13], maternal age distribution [10] and the number of deaths per year [14] and WHO/UNICEF data for immunization coverage. [15] 

Child-parent Cascade Screening could identify 50% of all FH cases in about 17 years and 75% detection in about 30 years, after which most affected families would be known and Cascade Testing would continue as the main and highly cost-effective identification method. 

The method is self-limiting and can only be sustained if supported by a separate method to provide a steady and substantial number of unrelated index cases. [7] 

Based on the current efficacy of Cascade Testing (number of new per known cases identified), 5098 unrelated FH index cases would need to be found each year for Cascade Testing to reach the 25% target in 5 years. 

The current index case identification rate is 556 per year; doubling this to 1112 would still require 31 years to reach the 25% detection target. 

The results of this analysis show that the fastest strategy for closing the identification gap in FH is Child-parent Cascade Screening, an integration of universal screening in childhood, based on total cholesterol measurement supported by FH mutation testing during immunisation and subsequent Cascade Testing within mutation-positive families. 

Both child, and parent benefit from such screening, from life-style interventions and the timely introduction of drug therapy (principally statins); but the child benefits twice, once by reducing his/her own risk of premature ischaemic heart disease and again by avoiding the premature death of a parent. 

Child-parent Cascade Screening is a strategy that has been shown to be effective and affordable, costing about £980 per new FH case identified. [9] 

Sensitivity analyses were performed to examine the effect of doubling the efficacy of Cascade Testing (number of new per known cases identified) and increasing the uptake of Child-parent Screening by 10% points. 

Electronic health records in adults are a potential supplement to identifying new FH index cases but largely miss the preventive opportunity (median age at an NHS Health Check is about 60 years). [22] 

For Child-parent Cascade Screening each FH positive child also leads to the identification of their affected siblings (older siblings in the first two years of screening) and grandparent.