Literature DB >> 29622598

Impact of age on excess risk of coronary heart disease in patients with familial hypercholesterolaemia.

Liv J Mundal1,2, Jannicke Igland3, Marit B Veierød4, Kirsten Bjørklund Holven2,5, Leiv Ose1,2, Randi Marie Selmer6, Torbjorn Wisloff6, Ivar S Kristiansen7, Grethe S Tell8, Trond P Leren9, Kjetil Retterstøl1,2.   

Abstract

OBJECTIVE: The primary objective was to study the risk of acute myocardial infarction (AMI) and coronary heart disease (CHD) in patients with familial hypercholesterolaemia (FH) and compare with the risk in the general population.
METHODS: Patients with an FH mutation but without prior AMI (n=3071) and without prior CHD (n=2795) were included in the study sample during 2001-2009. We obtained data on all AMI and CHD hospitalisations in Norway. We defined incident cases as first time hospitalisation or out-of-hospital death due to AMI or CHD. We estimated standardised incidence ratios (SIRs) with 95% CIs with indirect standardisation using incidence rates for the total Norwegian population stratified by sex, calendar year and 1 year age groups as reference rates.
RESULTS: SIRs for AMI (95% CIs) were highest in the age group 25-39 years; 7.5 (3.7 to 14.9) in men and 13.6 (5.1 to 36.2) in women and decreased with age to 0.9 (0.4 to 2.1) in men and 1.8 (0.9 to 3.7) in women aged 70-79 years. Similarly, SIRs for CHD were highest among patients 25-39 years old; 11.1 (7.1-17.5) in men and 17.3 (9.6-31.2) in women and decreased 2.4 (1.4-4.2) in men and 3.2 (1.5-7.2) in women at age 70-79. For all age groups, combined SIRs for CHD were 4.2 (3.6-5.0) in men and 4.7 (3.9-5.7) in women.
CONCLUSION: Patients with FH are at severely increased risk of AMI and CHD compared with the general population. The highest excess risk was in the youngest group aged 25-39 years, in both sexes. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  acute myocardial infarction; cardiac risk factors and prevention; coronary artery disease; genetics; lipoproteins and hyperlipidemia

Mesh:

Year:  2018        PMID: 29622598      PMCID: PMC6161660          DOI: 10.1136/heartjnl-2017-312706

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


Introduction

Heterozygous familial hypercholesterolaemia (FH) is an inherited condition with elevated circulating low-density lipoprotein levels from birth.1 2 It affects approximately one in every 200–300 people3 4 and increases the risk of premature coronary heart disease (CHD).5–10 Patients with FH are recommended a healthy lifestyle and statin treatment from age 8 to 10 years,11 12 but uncertainty remains about any residual risk in treated subjects.4 13–17 Large cohorts and long follow-up are needed to generate such data, which is difficult to establish for FH.18 In one large cohort study, the relative risk for coronary mortality in patients aged 20–59 declined from an 8-fold increased risk prior to statins became available to 3.7-fold thereafter.13 The primary aim of the present study was to relate the incidence of acute myocardial infarction (AMI) and CHD per year in the complete cohort of all patients with genetically proven FH in Norway to the incidence of these diseases in the total Norwegian population of about 5 million people. We used standardised incidence ratios (SIRs) during 2001–2009 for the primary aim. The secondary aim was to estimate SIRs for the associated procedures: percutaneous coronary intervention (PCI), coronary artery bypass grafting (CABG) and total coronary revascularisation (CR) procedures during the same period.

Methods

Study design

This is a registry-based prospective cohort study of all genotyped patients with FH in Norway. The study was perfomed according to the protocol approved in 2011 (supplementary file 1). We followed all patients who were included in the Unit for Cardiac and Cardiovascular Genetics (UCCG) Registry at 31 December 2009 for first time incident AMI and CHD events as well as first-time event of PCI, CABG and total CR during the period 2001 throughout 2009.

Patient involvement

We planned and discussed the study in meetings with the patient organisation for patients with FH in Norway who informed their members through a bi-annual paper magazine sent to all members.

UCCG registry

All patients with genetically diagnosed FH in Norway are included in the National UCCG Registry after written informed consent. Prior to the registry linkage all patients received a letter and were offered to be removed from the list and not participate in the registry linkage (supplementary file 2). At 31 December 2009, there were 4273 patients with FH registered of whom 8 were homozygous and of whom 3 had CHD.19 Sex, birth year, date and age of genetic diagnosis were extracted from the registry. The frequency of the most common mutations in the cohort and the registry is further described elsewhere.20–22 After the time of diagnosis, total serum cholesterol mean (SD) was 220 (58) mg/dL (5.7 (1.5) mmol/L), low-density lipoprotein cholesterol (LDL-C) was 151 (50) mg/dL (3.9 (1.3) mmol/L) and 89.1% used lipid-lowering drugs in the cohort.20

Cardiovascular outcomes and data linkage

We obtained data on all hospitalisations in Norway during 1994–2009 for AMI, CHD, PCI, CABG and total CR from the Cardiovascular Disease in Norway project (CVDNOR, http://www.cvdnor.no), a collaborative project between the University of Bergen and the Norwegian Knowledge Centre for the Health Services. Patient’s sex, age, date and time of admission and discharge, discharge diagnoses and diagnostic and surgical procedures are included in the database. We obtained data on death from the Norwegian Cause of Death Registry (NCoDR) containing information on date and cause of death (underlying, contributing and immediate causes) for all deaths among Norwegian residents. We followed patients for endpoints through linkage with the NCoDR and CVDNOR by using the unique personal identification number for each Norwegian resident. Data were given according to the International Classification of Diseases, version 9 (ICD9) or version 10 (ICD10). Definition of AMI is the ICD9 code 410 or the ICD10 codes I21 and I22. CHD is defined as the ICD9 codes 410–414 or ICD10 codes I20–I25. An incident event of AMI is defined as a hospitalisation with AMI as main or supplementary diagnosis or a death with CHD as the underlying cause of death without any prior hospitalisations with AMI. During 1994–2009, the definition of AMI in Norway changed. During the 1990s, the WHO criteria of 1979 for AMI was used.23 From 2000, AMI was defined according to the new American College of Cardiology/European Society of Cardiology definition.24 In 2007, the Universal Definition of MI was implemented.25 We defined an incident event of CHD as a hospitalisation with CHD as main or secondary diagnosis or a death with CHD as the underlying cause of death without any prior hospitalisations with CHD. PCI was defined as code FNG in the Nordic Medico-Statistical Committee (NOMESCO) classification of medical (NCMP) and surgical (NCSP) code FNG or as codes 3294, 3236 or 3239 in the Norwegian classification of medicinal procedures; third edition, 1995 (SIF-95). CABG definition is NCMP/NCSP codes FNA–FNF or codes 3112–3129 in SIF-95. Total CR definition is NCMP/NCSP codes FNA–FNG and codes 3112–3129, 3294, 3236 and 3238 in SIF-95. To analyse the first time events, we required 7 years of observation free of events prior to the start of follow-up. Patients registered in the UCCG later than 31 December 2009 and patients with any endpoint in question before 2001 were excluded from the analyses. Previous studies have shown that a washout period of 7 years results in only 3%–4% overestimation of incident events of AMI.26 We counted events among patients with FH from after the day they were included in the UCCG register and calculated the incidence of first occurrence of the endpoint in question, death from other causes or end of follow-up, whichever came first, during the period 1 January 2001 to 31 December 2009 for patients with FH and the entire Norwegian population. The follow-up time for each individual was split over calendar years and the attained age for each individual was updated for each calendar year.

Statistical analysis

We calculated unadjusted incidence rates for each endpoint in 2001–2009 stratified by sex and age. For each age stratum, the incidence rates were calculated as the number of events per 1000 person-years of follow-up for patients with FH and the entire population. We calculated SIRs for each endpoint using indirect standardisation with incidence rates for the total Norwegian population as reference rates.27 Expected number of incident events was calculated for each combination of 1 year age group and calendar year in the UCCG Registry as time spent in the cohort multiplied by the incidence rate for the same combination of birth year and calendar year in the total Norwegian population. Calculations were performed for men and women separately and in combination. Total expected number of incident events for men and women were obtained by summing expected number of events over 1 year age groups and calendar years. SIR was calculated as the observed number of events divided by the expected number of events. Confidence limits were obtained using the normal approximation to the Poisson distribution. Linear trend in SIR for AMI and CHD across calendar periods (2001–2003, 2004–2006 and 2007–2009) were tested using orthogonal polynomial contrasts after Poisson regression models with observed number of events as the outcome, the logarithm of expected number of events as offset and calendar period as a three-level factor variable. P <0.05 were considered statistically significant. All analyses were performed using Stata V.14.

Results

Table 1 shows the characteristics of the study sample. Mean (SD) age at the time of genetic diagnosis was 32.7 (18.6) years, 31.2 (18.1) years for men versus 34.1 (18.9) years for women (P<0.001).
Table 1

Characteristics of the patients with familial hypercholesterolaemia (FH) in the Unit for Cardiac and Cardiovascular Genetics (UCCG) Registry

VariablesTotalMenWomen
Total FH study sample*, n427320622211
 Age at inclusion†, mean (SD)32.7 (18.6)31.2 (18.1)34.1 (18.9)
Study sample with incident AMI‡
 No of patients with FH included in analyses of incident AMI307113941677
 No of patients with FH with first time AMI event996534
 Age at time of first AMI event, mean (SD)56.2 (13.4)54.1 (12.9)60.1 (13.7)
 Years since inclusion in the UCCG Registry to first time AMI event, mean (SD)5.9 (4.8)5.9 (4.9)5.9 (4.6)
Study sample with incident CHD§
 No of patients with FH included in analyses of incident CHD279512271568
 No of patients with FH with first time CHD event253142111
 Age at time of first CHD event, mean (SD)55.1 (13.0)53.1 (12.4)57.7 (13.7)
 Years since inclusion in the UCCG Registry to first time CHD event, mean (SD)6.2 (5.0)6.3 (5.3)6.2 (4.6)

*The study sample in the UCCG Registry during 1992–2009.

†Age at inclusion in the UCCG Registry equals time at verified genetic FH diagnosis.

‡The study sample in the UCCG Registry with incident acute myocardial infarction (AMI) event during 2001–2009.

§The study sample in the UCCG Registry with incident coronary heart disease (CHD) event during 2001–2009.

Characteristics of the patients with familial hypercholesterolaemia (FH) in the Unit for Cardiac and Cardiovascular Genetics (UCCG) Registry *The study sample in the UCCG Registry during 1992–2009. †Age at inclusion in the UCCG Registry equals time at verified genetic FH diagnosis. ‡The study sample in the UCCG Registry with incident acute myocardial infarction (AMI) event during 2001–2009. §The study sample in the UCCG Registry with incident coronary heart disease (CHD) event during 2001–2009. We excluded 1069 of the 4273 patients registered because they were below 25 years of age during the complete follow-up period for accurate calculation of CHD. Further, we excluded 329 because they had an event before inclusion in the registry and 80 patients because they had an event during the 7-year wash-out period prior to 2001. Thus, we analysed a cohort of 2795 patients for their first incident CHD during 2001–2009. Likewise, for MI calculations, we excluded 1069 patients younger than 25 years during the study period, 108 had an AMI event before inclusion in the registry and 25 had their first AMI event in the wash-out period, leaving a cohort of 3071 patients for analyses of incident AMI. Mean (SD) age at first AMI and CHD event were 56.2 (13.4) and 55.1 (13.0) years, respectively. Tables 2 and 3 show the SIRs for AMI and CHD in patients with FH according to sex, and figure 1 shows the SIRs for AMI and CHD for both sexes combined. In total, SIR for AMI (95% CI) was 2.3 (1.8–3.0) in men and 2.3 (1.6–3.2) in women. SIR for CHD (95% CI) was 4.2 (3.6–5.0) in men and 4.7 (3.9–5.7) in women. Both the SIRs for AMI and CHD were highest in the youngest age group 25–39 years in both sexes.
Figure 1

Standardised incidence ratios (SIRs) with 95% CIs for acute myocardial infarction (AMI) and coronary heart disease (CHD) in patients with familial hypercholesterolaemia during 2001–2009. Age-standardised and sex-standardised within each age group.

Acute myocardial infarction during 2001–2009 Statistically significant results in bold. *Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups. SIR, standardised incidence ratio. Coronary heart disease during 2001–2009 Statistically significant results in bold. *Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups. SIR, standardised incidence ratio. Standardised incidence ratios (SIRs) with 95% CIs for acute myocardial infarction (AMI) and coronary heart disease (CHD) in patients with familial hypercholesterolaemia during 2001–2009. Age-standardised and sex-standardised within each age group. Mean (SD) time from inclusion in the UCCG Registry to the first AMI or CHD event were 5.9 (4.8) and 6.2 (5.0) years, respectively, suggesting a mean duration of lipid-lowering treatment prior to event of about 6 years. Figure 2 displays the trends in SIRs according to sex and calendar period. For AMI, no significant trends over time were found (P=0.21 for both sexes combined, P=0.78 in men and P=0.08 in women). For CHD, there was a significant decrease over time for both sexes combined (P=0.03) and for men (P=0.02), but not for women (P=0.46).
Figure 2

Trends in standardised incidence ratios (SIRs) for acute myocardial infarction (AMI) and coronary heart disease (CHD) in patients with familial hypercholesterolaemia during 2001–2009. (A) Trend in SIRs (95% CI) for CHD in men. (B) Trend in SIRs (95% CI) for CHD in women. (C) Trend in SIRs (95% CI) for CHD in both sexes. (D) Trend in SIRs (95% CI) for AMI in men. (E) Trend in SIRs (95% CI) for AMI in women. (F) Trend in SIRs (95% CI) for AMI in both sexes.

The SIRs for PCI, CABG and total CR procedures were clearly higher in younger than in older patients as shown in tables 4, 5 and 6. Trends in standardised incidence ratios (SIRs) for acute myocardial infarction (AMI) and coronary heart disease (CHD) in patients with familial hypercholesterolaemia during 2001–2009. (A) Trend in SIRs (95% CI) for CHD in men. (B) Trend in SIRs (95% CI) for CHD in women. (C) Trend in SIRs (95% CI) for CHD in both sexes. (D) Trend in SIRs (95% CI) for AMI in men. (E) Trend in SIRs (95% CI) for AMI in women. (F) Trend in SIRs (95% CI) for AMI in both sexes. Percutaneous coronary intervention during 2001–2009 Statistically significant results in bold. *Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups. SIR, standardised incidence ratio. Coronary artery bypass grafting during 2001–2009 Statistically significant results in bold. *Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups. SIR, standardised incidence ratio. Total coronary revascularisation* during 2001–2009 Statistically significant results in bold. *Includes percutaneous coronary intervention and coronary artery bypass grafting. †Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups. SIR, standardised incidence ratio.

Discussion

We observed an increased risk of AMI and CHD in FH compared with the general population. Importantly, the youngest age group had the highest excess risk in both sexes including the need for PCI, CABG and total CR. Both the Simone Broome Register Group and us have previously reported an increased risk for CHD death before the age of 40.13 28 As recently shown,14 our study show the severity of carrying an FH mutation in both sexes and particularly at young age. We previously reported that 88% of the Norwegian patients with FH who died actually used statins at time of death but still with too high LDL-C.15 Statins were used by 89.1% of the Norwegian FH population as studied in 2006 (n=956),20 and it is reasonable to estimate that about 90% of the present study cohort used statins. Taken together with other recent studies, this emphasises the importance of early diagnosis and treatment in FH.29 30 During the observation period, SIR for CHD decreased slightly in men but not in women indicating a particular need to focus attention on the excess risk in young FH women. Statins were used for 6 years or more in those who experienced an event assuming that treatment was initiated at the time of genetic diagnosis. However, the mean age of genetic diagnosis was 32.7 years, unfortunately too late. A previous study reported a near normalisation of CHD risk in statin-treated patients older than 55 years, in fact they observed a risk of MI approaching that of the general population.17 Importantly, the present study add new information on the risk in young patients with FH. Any excess risk in young patients cannot be detected in a study of patients older than 55 years, and here we report a particularly high excess risk in patients with FH younger than 40 years. We observed a significant reduction in the trend for CHD in patients with FH on top of the reduction in the general population (figure 2). However, trends in SIRs for CHD decreased only in men with FH, not women, suggesting that young women with FH need particular attention.

Strengths and limitations

Important strengths were the high number of genotyped patients with FH and the complete follow-up. All AMI and CHD hospitalisations and the corresponding reported deaths from the NCoDR for the entire Norwegian population during 2001–2009 were included. However, patients with FH who died before genetic testing were not registered. Data on all hospitalisations in Norway were included in the analyses, but patients not hospitalised due to, for example, misdiagnoses were not included but there should be no difference between people with or without an FH mutation in this respect. Information on AMI subtypes is not available. Further, important factors that influence AMI morbidity and hospitalisation frequencies were not accounted for, that is, smoking habits, body mass index, LDL-C values, statin treatment, dietary habits or participation in coronary rehabilitation programmes after discharge. Patients were mainly Caucasian as 92.4% of the patients in the FH cohort are native Norwegians. Error rates in Patient Administrative Data (PAS) were, for AMI and stroke, previously reported to be 0.8% and 0.9% for time of admission, 4.7% and 4.9% for the main diagnosis, and 1.7% and 2.9% for index diagnosis, respectively. Selection bias is important in register studies. Participants in the present study account for almost one-third of the total number of patients with FH in Norway, given a prevalence of 1:300. A large proportion of the total number reduce the possibility of any major selection bias. Further, most patients in the register were diagnosed by cascade screening due to family ties to an index patient. These patients are typically unaware of their FH prior to diagnosis, living normal lives without any special precautions further reducing the risk of any heavy selection bias in our cohort. Lastly, all physicians may request genetic testing of FH. Testing is free of charge for physicians and patients in Norway probably reducing the risk for bias due to economic issues. In conclusion, Norwegian patients with FH have significantly higher incidences of AMI, CHD and related intervention procedures than the general population. This is true although statins are widely used. The youngest age group had the highest excess risk, underlining the need for early diagnosis and preventive treatment in FH. Familial hypercholesterolaemia (FH) leads to increased risk of coronary heart disease (CHD), but little data exist on the impact of age on the excess risk. A particularly high excess risk of CHD in young patients with FH was observed. The standardised incidence ratio (95% CI) for CHD was highest among patients 25–39 years old; 11.1 (7.1–17.5) and 17.3 (9.6–31.2) in men and women, respectively. In all age groups combined, standardised incidence ratio was 4.2 (3.6–5.0) in men and 4.7 (3.9–5.7) in women. The highest excess risk for cardiovascular disease was at age 25–39 years. More action is needed to find and treat patients with FH early in life.
Table 2

Acute myocardial infarction during 2001–2009

Sex and age groupsIncident casesPerson years in 1000Crude incidence rate per 1000 person years (95% CI)Expected number of cases*SIR (95% CI)*
Men
 25–3983.12.6 (1.3 to 5.1)1.07 7.5 (3.7 to 14.9)
 40–49182.18.4 (5.3 to 13.4)4.25 4.2 (2.7 to 6.7)
 50–59151.59.7 (5.8 to 16.1)7.94 1.9 (1.1 to 3.1)
 60–69180.919.9 (12.5 to 31.5)8.30 2.2 (1.4 to 3.4)
 70–7950.315.1 (6.3 to 36.3)5.710.9 (0.4 to 2.1)
 80+10.065.0 (9.2 to 460)0.432.33 (0.3 to 16.5)
 Total658.18.1 (6.3 to 10.3)27.7 2.3 (1.8 to 3.0)
Women
 25–3943.51.1 (0.4 to 3.0)0.3 13.6 (5.1 to 36.2)
 40–4932.41.3 (0.4 to 3.9)1.1 2.7 (0.96 to 8.3)
 50–59102.05.1 (2.7 to 9.4)2.6 3.8 (2.0 to 7.1)
 60–6971.26.0 (2.9 to 12.6)3.81.9 (0.9 to 3.9)
 70–7980.516.2 (8.1 to 32.4)4.31.8 (0.9 to 3.7)
 80+20.116.2 (4.1 to 64.8)2.80.7 (0.2 to 2.8)
 Total349.73.5 (2.5 to 4.9)15.0 2.3 (1.6 to 3.2)

Statistically significant results in bold.

*Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups.

SIR, standardised incidence ratio.

Table 3

Coronary heart disease during 2001–2009

Sex and age groupsIncident casesPerson years in 1000Crude incidence rate per 1000 person years (95% CI)Expected number of cases*SIR (95% CI)*
Men
 25–39193.046.3 (4.0 to 9.8)1.7 11.1 (7.1 to 17.5)
 40–49431.8623.1 (17.2 to 31.2)6.5 6.7 (4.9 to 9.0)
 50–59341.0931.2 (22.3 to 43.6)10.4 3.3 (2.3 to 4.6)
 60–69310.5358.9 (41.4 to 83.7)9.4 3.3 (2.3 to 4.7)
 70–79130.1776.3 (44.3 to 131.5)5.4 2.4 (1.4 to 4.2)
 80+20.01346.9 (86.8 to 1387.3)0.2 9.1 (2.3 to 36.5)
 Total1426.76921.2 (18.0 to 25.0)33.6 4.2 (3.6 to 5.0)
Women
 25–39113.473.2 (1.9 to 5.7)0.6 17.3 (9.6 to 31.2)
 40–49232.2610.0 (6.7 to 15.1)2.6 8.7 (5.8 to 13.1)
 50–59271.7315.6 (10.7 to 22.7)6.0 4.5 (3.1 to 6.6)
 60–69220.9124.2 (15.9 to 36.727.1 3.1 (2.0 to 4.7)
 70–79220.3172.1 (47.4 to 109.4)5.4 4.1 (2.7 to 6.2)
 80+60.06105.7 (47.5 to 235.2)1.9 3.2 (1.5 to 7.2)
 Total1118.812.7 (10.5 to 15.3)23.6 4.7 (3.9 to 5.7)

Statistically significant results in bold.

*Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups.

SIR, standardised incidence ratio.

Table 4

Percutaneous coronary intervention during 2001–2009

Sex and age groupsIncident casesPerson years in 1000Crude incidence rate per 1000 person years (95% CI)Expected number of cases*SIR (95% CI)*
Men
 25–3993.12.9 (1.5 to 5.5)0.6 14.5 (7.5 to 27.8)
 40–49212.19.8 (6.4 to 15.0)3.3 6.3 (4.1 to 9.7)
 50–59301.520.6 (14.4 to 29.5)6.3 4.8 (3.3 to 6.8)
 60–69160.819.0 (11.6 to 31.0)5.7 2.8 (1.7 to 4.6)
 70–7970.322.3 (10.6 to 46.7)2.6 2.7 (1.3 to 5.7)
 80+20.094.3 (23.6 to 377.0)0.1 18.3 (4.6 to 73.0)
 Total857.910.8 (8.7 to 13.3)18.6 4.6 (3.7 to 5.6)
Women
 25–3923.50.6 (0.1 to 2.3)0.2 12.1 (3.0 to 48.5)
 40–49102.44.2 (2.3 to 7.8)0.8 13.2 (7.1 to 24.5)
 50–59131.96.7 (3.9 to 11.5)2.0 6.6 (3.8 to 11.4)
 60–69141.112.3 (7.3 to 20.9)2.5 5.5 (3.3 to 9.3)
 70–7960.512.8 (5.8 to 28.6)1.7 3.6 (1.6 to 7.9)
 80+00.100.3
 Total459.64.7 (3.5 to 6.3)7.4 6.1 (4.5 to 8.1)

Statistically significant results in bold.

*Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups.

SIR, standardised incidence ratio.

Table 5

Coronary artery bypass grafting during 2001–2009

Sex and age groupsIncident casesPerson years in 1000Crude incidence rate per 1000 person years (95% CI)Expected number of cases*SIR (95% CI)*
Men
 25–3933.20.9 (0.3 to 2.9)0.3 10.7 (3.5 to 33.3)
 40–49162.27.2 (4.4 to 11.8)1.6 10.1 (6.2 to 16.6)
 50–59121.67.7 (4.4 to 13.5)3.3 3.6 (2.0 to 6.3)
 60–69110.912.8 (7.1 to 23.1)3.2 3.5 (1.9 to 6.3)
 70–7950.317.2 (7.2 to 41.4)1.3 3.8 (1.6 to 0.2)
 80+10.0335.4 (5.0 to 251.4)0.1 12.9 (1.8 to 91.8)
 Total488.15.9 (4.4 to 7.8)9.7 4.9 (3.7 to 6.5)
Women
 25–3913.50.3 (0.0 to 2.0)0.1 12.4 (1.7 to 88.1)
 40–4932.41.3 (0.4 to 3.9)0.3 8.6 (2.8 to 26.6)
 50–5952.02.5 (1.0 to 6.0)1.0 5.1 (2.1 to 12.3)
 60–6951.24.3 (1.8 to 10.2)1.3 3.7 (1.5 to 8.9)
 70–7990.519.5 (10.2 to 37.5)0.8 10.8 (5.6 to 20.7)
 80+00.100.1
 Total239.72.4 (1.6 to 3.6)3.7 6.2 (4.1 to 9.3)

Statistically significant results in bold.

*Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups.

SIR, standardised incidence ratio.

Table 6

Total coronary revascularisation* during 2001–2009

Sex and age groupsIncident casesPerson years in 1000Crude incidence rate per 1000 person years (95% CI)Expected number of cases†SIR (95% CI)‡
Men
 25–39103.13.2 (1.7 to 6.0)0.6 16.0 (8.6 to 29.7)
 40–49332.116.1 (11.4 to 22.6)3.3 10.1 (7.2 to 14.2)
 50–59341.325.6 (18.3 to 35.8)6.0 5.7 (4.1 to 7.9)
 60–69240.733.7 (22.6 to 50.3)5.2 4.6 (3.1 to 6.8)
 70–79110.342.7 (23.7 to 77.2)2.3 4.7 (2.6 to 8.5)
 80+30.02144.1 (46.5 to 446.7)0.1 25.9 (8.4 to 80.3)
 Total1157.515.4 (12.8 to 18.5)17.6 6.5 (5.5 to 7.9)
Women
 25–3923.50.6 (0.1 to 2.3)0.2 11.8 (2.9 to 47.1)
 40–49122.45.1 (2.9 to 8.9)0.8 15.5 (8.8 to 27.2)
 50–59181.99.4 (4.9 to 15.0)2.0 9.1 (5.7 to 14.4)
 60–69191.117.5 (11.1 to 27.4)2.6 7.5 (4.8 to 11.7)
 70–79110.426.6 (14.8 to 48.1)1.6 6.9 (3.8 to 12.4)
 80+00.100.3
 Total629.46.6 (5.1 to 8.5)7.4 8.4 (6.6 to 10.8)

Statistically significant results in bold.

*Includes percutaneous coronary intervention and coronary artery bypass grafting.

†Age-standardised by indirect standardisation with reference rates for the total Norwegian population during 2001–2009 stratified by sex, calendar year and 1 year age groups.

SIR, standardised incidence ratio.

  29 in total

1.  Universal definition of myocardial infarction.

Authors:  Kristian Thygesen; Joseph S Alpert; Harvey D White
Journal:  Eur Heart J       Date:  2007-10       Impact factor: 29.983

2.  Mutations causative of familial hypercholesterolaemia: screening of 98 098 individuals from the Copenhagen General Population Study estimated a prevalence of 1 in 217.

Authors:  Marianne Benn; Gerald F Watts; Anne Tybjærg-Hansen; Børge G Nordestgaard
Journal:  Eur Heart J       Date:  2016-02-22       Impact factor: 29.983

3.  Treatment Gaps in Adults With Heterozygous Familial Hypercholesterolemia in the United States: Data From the CASCADE-FH Registry.

Authors:  Emil M deGoma; Zahid S Ahmad; Emily C O'Brien; Iris Kindt; Peter Shrader; Connie B Newman; Yashashwi Pokharel; Seth J Baum; Linda C Hemphill; Lisa C Hudgins; Catherine D Ahmed; Samuel S Gidding; Danielle Duffy; William Neal; Katherine Wilemon; Matthew T Roe; Daniel J Rader; Christie M Ballantyne; MacRae F Linton; P Barton Duell; Michael D Shapiro; Patrick M Moriarty; Joshua W Knowles
Journal:  Circ Cardiovasc Genet       Date:  2016-03-24

4.  Effect of the Lookback Period's Length Used to Identify Incident Acute Myocardial Infarction on the Observed Trends on Incidence Rates and Survival: Cardiovascular Disease in Norway Project.

Authors:  Gerhard Sulo; Jannicke Igland; Stein Emil Vollset; Ottar Nygård; Grace M Egeland; Marta Ebbing; Enxhela Sulo; Grethe S Tell
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-06-09

Review 5.  Application of molecular genetics for diagnosing familial hypercholesterolemia in Norway: results from a family-based screening program.

Authors:  Trond P Leren; Turid Manshaus; Unn Skovholt; Tove Skodje; Inger Esther Nossen; Christél Teie; Stine Sørensen; Kari Solberg Bakken
Journal:  Semin Vasc Med       Date:  2004-02

6.  Patients with familial hypercholesterolaemia are characterized by presence of cardiovascular disease at the time of death.

Authors:  Henriette Walaas Krogh; Liv Mundal; Kirsten B Holven; Kjetil Retterstøl
Journal:  Eur Heart J       Date:  2015-11-18       Impact factor: 29.983

7.  Diagnostic Yield and Clinical Utility of Sequencing Familial Hypercholesterolemia Genes in Patients With Severe Hypercholesterolemia.

Authors:  Amit V Khera; Hong-Hee Won; Gina M Peloso; Kim S Lawson; Traci M Bartz; Xuan Deng; Elisabeth M van Leeuwen; Pradeep Natarajan; Connor A Emdin; Alexander G Bick; Alanna C Morrison; Jennifer A Brody; Namrata Gupta; Akihiro Nomura; Thorsten Kessler; Stefano Duga; Joshua C Bis; Cornelia M van Duijn; L Adrienne Cupples; Bruce Psaty; Daniel J Rader; John Danesh; Heribert Schunkert; Ruth McPherson; Martin Farrall; Hugh Watkins; Eric Lander; James G Wilson; Adolfo Correa; Eric Boerwinkle; Piera Angelica Merlini; Diego Ardissino; Danish Saleheen; Stacey Gabriel; Sekar Kathiresan
Journal:  J Am Coll Cardiol       Date:  2016-04-03       Impact factor: 24.094

Review 8.  Familial hypercholesterolaemia in children and adolescents: gaining decades of life by optimizing detection and treatment.

Authors:  Albert Wiegman; Samuel S Gidding; Gerald F Watts; M John Chapman; Henry N Ginsberg; Marina Cuchel; Leiv Ose; Maurizio Averna; Catherine Boileau; Jan Borén; Eric Bruckert; Alberico L Catapano; Joep C Defesche; Olivier S Descamps; Robert A Hegele; G Kees Hovingh; Steve E Humphries; Petri T Kovanen; Jan Albert Kuivenhoven; Luis Masana; Børge G Nordestgaard; Päivi Pajukanta; Klaus G Parhofer; Frederick J Raal; Kausik K Ray; Raul D Santos; Anton F H Stalenhoef; Elisabeth Steinhagen-Thiessen; Erik S Stroes; Marja-Riitta Taskinen; Anne Tybjærg-Hansen; Olov Wiklund
Journal:  Eur Heart J       Date:  2015-05-25       Impact factor: 29.983

9.  Familial hypercholesterolaemia is underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease: consensus statement of the European Atherosclerosis Society.

Authors:  Børge G Nordestgaard; M John Chapman; Steve E Humphries; Henry N Ginsberg; Luis Masana; Olivier S Descamps; Olov Wiklund; Robert A Hegele; Frederick J Raal; Joep C Defesche; Albert Wiegman; Raul D Santos; Gerald F Watts; Klaus G Parhofer; G Kees Hovingh; Petri T Kovanen; Catherine Boileau; Maurizio Averna; Jan Borén; Eric Bruckert; Alberico L Catapano; Jan Albert Kuivenhoven; Päivi Pajukanta; Kausik Ray; Anton F H Stalenhoef; Erik Stroes; Marja-Riitta Taskinen; Anne Tybjærg-Hansen
Journal:  Eur Heart J       Date:  2013-08-15       Impact factor: 29.983

10.  Efficacy of statins in familial hypercholesterolaemia: a long term cohort study.

Authors:  Jorie Versmissen; Daniëlla M Oosterveer; Mojgan Yazdanpanah; Joep C Defesche; Dick C G Basart; Anho H Liem; Jan Heeringa; Jacqueline C Witteman; Peter J Lansberg; John J P Kastelein; Eric J G Sijbrands
Journal:  BMJ       Date:  2008-11-11
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  8 in total

1.  Association of Low-Density Lipoprotein Cholesterol With Risk of Aortic Valve Stenosis in Familial Hypercholesterolemia.

Authors:  Liv J Mundal; Anders Hovland; Jannicke Igland; Marit B Veierød; Kirsten B Holven; Martin Prøven Bogsrud; Grethe S Tell; Trond P Leren; Kjetil Retterstøl
Journal:  JAMA Cardiol       Date:  2019-11-01       Impact factor: 14.676

Review 2.  Familial hypercholesterolaemia: evolving knowledge for designing adaptive models of care.

Authors:  Gerald F Watts; Samuel S Gidding; Pedro Mata; Jing Pang; David R Sullivan; Shizuya Yamashita; Frederick J Raal; Raul D Santos; Kausik K Ray
Journal:  Nat Rev Cardiol       Date:  2020-01-23       Impact factor: 32.419

3.  Cardiovascular Risk and Treatment Outcomes in Severe Hypercholesterolemia: A Nationwide Cohort Study.

Authors:  Chan Joo Lee; Sanghyun Park; Kyungdo Han; Sang-Hak Lee
Journal:  J Am Heart Assoc       Date:  2022-04-26       Impact factor: 6.106

4.  Correlates of Coronary Artery Calcification Prevalence and Severity in Patients With Heterozygous Familial Hypercholesterolemia.

Authors:  Jean-Philippe Drouin-Chartier; André J Tremblay; Dominic Godbout; Alexandre Gagnon; Marie-Annick Clavel; Marine Clisson; Benoit J Arsenault; Philippe Pibarot; Éric Larose; Patrick Couture
Journal:  CJC Open       Date:  2020-09-16

5.  Sex differences in cardiovascular morbidity associated with familial hypercholesterolaemia: A retrospective cohort study of the UK Simon Broome register linked to national hospital records.

Authors:  Barbara Iyen; Nadeem Qureshi; Stephen Weng; Paul Roderick; Joe Kai; Nigel Capps; Paul N Durrington; Ian Fw McDowell; Handrean Soran; Andrew Neil; Steve E Humphries
Journal:  Atherosclerosis       Date:  2020-10-31       Impact factor: 5.162

6.  Association of Familial Hypercholesterolemia and Statin Use With Risk of Dementia in Norway.

Authors:  Liv J Mundal; Jannicke Igland; Karianne Svendsen; Kirsten B Holven; Trond P Leren; Kjetil Retterstøl
Journal:  JAMA Netw Open       Date:  2022-04-01

7.  Enablers and barriers to treatment adherence in heterozygous familial hypercholesterolaemia: a qualitative evidence synthesis.

Authors:  Fiona J Kinnear; Elaine Wainwright; Rachel Perry; Fiona E Lithander; Graham Bayly; Alyson Huntley; Jennifer Cox; Julian Ph Shield; Aidan Searle
Journal:  BMJ Open       Date:  2019-07-31       Impact factor: 2.692

8.  Apolipoprotein E Deficiency Causes Endothelial Dysfunction in the Mouse Retina.

Authors:  Jenia Kouchek Zadeh; Mayagozel B Zhutdieva; Panagiotis Laspas; Can Yuksel; Aytan Musayeva; Norbert Pfeiffer; Christoph Brochhausen; Matthias Oelze; Andreas Daiber; Ning Xia; Huige Li; Adrian Gericke
Journal:  Oxid Med Cell Longev       Date:  2019-11-12       Impact factor: 6.543

  8 in total

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