Prevalence and management of familial hypercholesterolaemia in patients with chest pain admitted to hospital: a retrospective observational study.

OBJECTIVES: Patients with familial hypercholesterolaemia (FH) are genetically burdened by a lifelong elevation of the low-density lipoprotein cholesterol (LDL-C) level, putting them at a very high risk of premature ischaemic heart disease (IHD). This study aims to assess the prevalence of FH among patients admitted for IHD and the preventive treatment status before admission. DESIGN: Observational, retrospective, register-based study. SETTING: Individuals discharged with a diagnosis of IHD were enrolled consecutively throughout 2012-2016 from the cardiac care units of two hospitals in Copenhagen. PARTICIPANTS: 4223 individuals were discharged during the period. Inclusion criteria for further investigation were the availability of one measurement of LDL-C at the time of admission. In total, 2797 individuals were included for further investigation. There were no exclusion criteria. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary objective has been to determine the prevalence of FH in the population. The secondary objective has been to determine the use of lipid-lowering therapy and to which extend the individuals reach their treatment goal. RESULTS: Among the 2797 consecutive patients evaluated, the prevalence of potential FH was 7.7% (1: 13) and 6.8% (1:15) had probably or definite FH. The prevalence of FH was age-dependent: Among the 680 patients (24.3%) with premature IHD (men <55 years/women <60 years), 136 patients (20.0%) had potential FH and 21 (3.1%) had probable/definite FH. None were diagnosed and almost none attained their treatment goal. CONCLUSIONS: There is still a massive lack of recognition of FH in patients admitted to a cardiac care unit with a diagnosis of IHD. Despite a measured high LDL-C, the diagnosis was not made for any patients not even in patients who were admitted at an early age or had a previous cardiovascular event.

Genetic testing increases the likelihood of a diagnosis of familial hypercholesterolaemia among people referred to lipid clinics: Danish national study.

BACKGROUND AND AIMS: It is unclear to what extent genetic testing improves the ability to diagnose familial hypercholesterolaemia (FH). We investigated the percentage with FH among individuals referred to Danish lipid clinics, and evaluated the impact of genetic testing for a diagnosis of FH. METHODS: From September 2020 through November 2021, all patients referred for possible FH to one of the 15 Danish lipid clinics were invited for study participation and >97% (n = 1488) accepted. The Dutch Lipid Clinical Network criteria were used to diagnose clinical FH. The decision of genetic testing for FH was based on local practice. RESULTS: A total of 1243 individuals were referred, of whom 25.9% were diagnosed with genetic and/or clinical FH. In individuals genetically tested (n = 705), 21.7% had probable or definite clinical FH before testing, a percentage that increased to 36.9% after genetic testing. In individuals with unlikely and possible FH before genetic testing, 24.4% and 19.0%, respectively, had a causative pathogenic variant. CONCLUSIONS: In a Danish nationwide study, genetic testing increased a diagnosis of FH from 22% to 37% in patients referred with hypercholesterolaemia suspected of having FH. Importantly, approximately 20% with unlikely or possible FH, who without genetic testing would not have been considered having FH (and family screening would not have been undertaken), had a pathogenic FH variant. We therefore recommend a more widespread use of genetic testing for evaluation of a possible FH diagnosis and potential cascade screening.

Coronary risk of patients with valvular heart disease: prospective validation of CT-Valve Score.

OBJECTIVE: To prospectively validate the CT-Valve score, a new risk score designed to identify patients with valvular heart disease at a low risk of coronary artery disease (CAD) who could benefit from multislice CT (MSCT) first instead of coronary angiography (CAG). METHODS: This was a prospective cohort study of patients referred for valve surgery in the Capital Region of Denmark and Odense University Hospital from the 1 February 2015 to the 1 February 2017. MSCT was implemented for patients with a CT-Valve score ≤7 at the referring physician's discretion. Patients with a history of CAD or chronic kidney disease were excluded. The primary outcome was the proportion of patients needing reevaluation with CAG after MSCT and risk of CAD among the patients determined to be low to intermediate risk. RESULTS: In total, 1149 patients were included. The median score was 9 (IQR 3) and 339 (30%) had a score ≤7. MSCT was used for 117 patients. Of these 29 (25%) were reevaluated and 9 (7.7%) had CAD. Of the 222 patients with a score ≤7 that did not receive an MSCT, 14 (6%) had significant CAD. The estimated total cost of evaluation among patients with a score ≤7 before implementation was €132 093 compared with €79 073 after, a 40% reduction. Similarly, estimated total radiation before and after was 608 mSv and 362 mSv, a 41% reduction. Follow-up at a median of 32 months (18-48) showed no ischaemic events for patients receiving only MSCT. CONCLUSION: The CT-Valve score is a valid method for determining risk of CAD among patients with valvular heart disease. Using a score ≤7 as a cut-off for the use of MSCT is safe and cost-effective.

Coronary risk stratification of patients with newly diagnosed heart failure.

Objective: Coronary artery disease (CAD) is frequent in patients with newly diagnosed heart failure (HF). Multislice CT (MSCT) is a non-invasive alternative to coronary angiography (CAG) suggested for patients with a low-to-intermediate risk of CAD. No established definition of such patients exists. Our purpose was to develop a simple score to identify as large a group as possible with a suitable pretest risk of CAD. Methods: Retrospective study of patients in Denmark undergoing CAG due to newly diagnosed HF from 2010 to 2014. All Danish patients were registered in two databases according to geographical location. We used data from one registry and multiple logistic regression with backwards elimination to find predictors of CAD and used the derived OR to develop a clinical risk score called the CT-HF score, which was subsequently validated in the other database. Results: The main cohort consisted of 2171 patients and the validation cohort consisted of 2795 patients with 24% and 27% of patients having significant CAD, respectively. Among significant predictor, the strongest was extracardiac arteriopathy (OR 2.84). Other significant factors were male sex, smoking, hyperlipidaemia, diabetes mellitus, angina and age. A proposed cut-off of 9 points identified 61% of patients with a 15% risk of having CAD, resulting in an estimated savings of 15% of the cost and 21% of the radiation. Conclusions: A simple score based on clinical risk factors could identify HF patients with a low risk of CAD; these patients may have benefitted from MSCT as a gatekeeper for CAG.

Relationship between patient presentation and morphology of coronary atherosclerosis by quantitative multidetector computed tomography.

AIMS: Quantitative computed tomography (QCT) allows assessment of morphological features of coronary atherosclerosis. We aimed to test the hypothesis that clinical patient presentation is associated with distinct morphological features of coronary atherosclerosis. METHODS AND RESULTS: A total of 1652 participants, representing a spectrum of clinical risk profiles [787 asymptomatic individuals from the general population, 468 patients with acute chest pain without acute coronary syndrome (ACS), and 397 patients with acute chest pain and ACS], underwent multidetector computed tomography. Of these, 274 asymptomatic individuals, 254 patients with acute chest pain without ACS, and 327 patients with acute chest pain and ACS underwent QCT to assess coronary plaque volumes and proportions of dense calcium (DC), fibrous, fibro fatty (FF), and necrotic core (NC) tissue. Furthermore, the presence of vulnerable plaques, defined by plaque volume and tissue composition, was examined. Coronary plaque volume increased significantly with worsening clinical risk profile [geometric mean (95% confidence interval): 148 (129-166) mm3, 257 (224-295) mm3, and 407 (363-457) mm3, respectively, P < 0.001]. Plaque composition differed significantly across cohorts, P < 0.0001. The proportion of DC decreased, whereas FF and NC increased with worsening clinical risk profile (mean proportions DC: 33%, 23%, 23%; FF: 50%, 61%, 57%; and NC: 17%, 17%, 20%, respectively). Significant differences in plaque composition persisted after multivariable adjustment for age, gender, body surface area, hypertension, statin use at baseline, diabetes, smoking, family history of ischaemic heart disease, total plaque volume, and tube voltage, P < 0.01. CONCLUSION: Coronary atherosclerotic plaque volume and composition are strongly associated to clinical presentation.

Coronary risk stratification of patients undergoing surgery for valvular heart disease.

BACKGROUND: Multislice computed tomography (MSCT) is a non-invasive, less expensive, low-radiation alternative to coronary angiography (CAG) prior to valvular heart surgery. MSCT has a high negative predictive value for coronary artery disease (CAD) but previous studies of patients with valvular disease have shown that MSCT, as the primary evaluation technique, lead to re-evaluation with CAG in about a third of cases and it is therefore not recommended. If a subgroup of patients with low- to intermediate risk of CAD could be identified and examined with MSCT, it could be cost-effective, reduce radiation and the risk of complications associated with CAG. METHODS: The study cohort was derived from a national registry of patients undergoing CAG prior to valvular heart surgery. Using logistic regression, we identified significant risk factors for CAD and developed a risk score (CT-valve score). The score was validated on a similar cohort of patients from another registry. RESULTS: The study cohort consisted of 2221 patients, 521 (23.5%) had CAD. The validation cohort consisted of 2575 patients, 771 (29.9%) had CAD. The identified risk factors were male sex, age, smoking, hyperlipidemia, hypertension, aortic valve disease, extracardiac arteriopathy, ejection fraction <30% and diabetes mellitus. CT-valve score could identify a third of the population with a risk about 10%. CONCLUSION: A score based on risk factors of CAD can identify patients that might benefit from using MSCT as a gatekeeper to CAG prior to heart valve surgery.