Dutch Lipid Clinic Network Criteria Research Articles

LIPID–LOWERING THERAPY WITH PCSK9 INHIBITORS: FAMILIAL HYPERCHOLESTEROLEMIA VS GENERAL POPULATION OUTCOMES

Abstract Background Dyslipidemic patients, particularly those with familial hypercholesterolemia (FH), are at increased risk of cardiovascular events and require beginning a full treatment. This study aims to compare the long–term effects of PCSK9i treatment in FH and non–FH dyslipidemic patients. Methods The study enrolled 381 dyslipidemic patients receiving PCSK9 inhibitors in our dyslipidemia outpatient clinic. FH was defined in accordance with the Dutch Lipid Clinic Network Criteria. The clinical data were collected in both groups and lipid profiles were monitored at 6, 12, and 36 months. Results In patients with FH baseline total cholesterol was significantly higher(260±54.8 mg/dL vs 212±51.3 mg/dL p < 0.001) as well as LDL cholesterol (181.4±51.7 mg/dL vs 137±45.1 mg/dL p < 0.001). A lipid reduction was observed in both groups at 6 months (LDL 69±41 mg/dL vs 62±37 mg/dL p = 0.20) at 12 (LDL 66±41 mg/dL vs 66±40 mg/dL p = 0.96) and 36 months (LDL 73±45 mg/dL vs 72±35 mg/dL p = 0.92). Conclusions PCSK9i treatment is highly effective in reducing LDL–C levels in both FH and non–FH dyslipidemic patients. The Achievement of similar LDL–C levels between these two groups in long–term follow–up could suggest that PCSK9i therapy is equally efficacious in both populations despite different dyslipidemia settings.

Simplified Criteria for Identification of Familial Hypercholesterolemia in Children: Application in Real Life.

The diagnosis of familial hypercholesterolemia (FH) in children is primarily based on main criteria including low-density lipoprotein cholesterol (LDL-C) levels, increased in the proband and relatives, and its inheritance. Two other relevant parameters are symptoms, rarely occurring in children, as rare are the FH homozygous patients, and the mutation detection of related genes. The latter allows the final diagnosis, although it is not commonly available. Moreover, the application of diagnostic scores, useful in adults, is poorly applied in children. The aim of this study was to compare the reliability of criteria here applied with different scores, apart from genetic analysis, for FH diagnosis. The latter was then confirmed by genetic analysis. n. 180 hypercholesterolemic children (age 10.2 ± 4.6 years) showing LDL-C levels ≥95th percentile (age- and sex-related), the dominant inheritance pattern of hypercholesterolemia (including LDL-C ≥95th percentile in one parent), were considered potentially affected by FH and included in the study. The molecular analysis of the LDLR, APOB and PCSK9 genes was applied to verify the diagnostic accuracy. Biochemical and family history data were also retrospectively categorized according to European Atherosclerosis Society (EAS), Simon Broome Register (SBR), Pediatric group of the Italian LIPIGEN (LIPIGEN-FH-PED) and Dutch Lipid Clinic Network (DLCN) criteria. Detailed kindred biochemical and clinical assessments were extended to three generations. The lipid profile was detected by standard laboratory kits, and gene analysis was performed by traditional sequencing or Next-Generation Sequencing (NGS). Among 180 hypercholesterolemic subjects, FH suspected based on the above criteria, 164/180 had the diagnosis confirmed, showing causative mutations. The mutation detection rate (MDR) was 91.1%. The scoring criteria proposed by the EAS, SBR and LIPIGEN-FH-PED (resulting in high probable, possible-defined and probable-defined, respectively) showed high sensitivity (~90%), low specificity (~6%) and high MDR (~91%). It is noteworthy that their application, as a discriminant for the execution of the molecular investigation, would lead to a loss of 9.1%, 9.8% and 9.1%, respectively, of FH-affected patients, as confirmed by the genetic analysis. DLCN criteria, for which LDL-C cut-offs are not specific for childhood, would lead to a loss of 53% of patients with mutations. In the pediatric population, the combination of LDL-C ≥95th percentile in the proband and the dominant inheritance pattern of hypercholesterolemia, with LDL-C ≥95th percentile in one parent, is a simple, useful and effective diagnostic criterion, showing high MDR. This pattern is crucial for early FH diagnosis. EAS, SBR and LIPIGEN-FH-PED criteria can underestimate the real number of patients with gene mutations and cannot be considered strictly discriminant for the execution of molecular analysis.

Prevalence, clinical features and prognosis of familial hypercholesterolemia in Chinese Han patients with acute coronary syndrome after a coronary event: a retrospective observational study

BackgroundFamilial hypercholesterolemia (FH) is an autosomal semi-dominant disease, characterized by markedly elevated levels of low-density lipoprotein cholesterol (LDL-c) from conception and accelerated atherosclerotic cardiovascular disease, often resulting in early death. The aim of this study was to evaluate the prevalence of clinically defined FH in Chinese Han patients with acute coronary syndrome (ACS) and compare the long-term prognosis of ACS patients with and without FH receiving lipid-lowering therapy containing statins after a coronary event.MethodsAll ACS patients were screened at the Second Affiliated Hospital of Xi’an Jiaotong University between Jan 2019 and Sep 2020, and 531 participants were enrolled. All were examined for FH under the Dutch Lipid Clinical Network (DLCN) criteria, and those patients were divided into definite/probable FH, possible FH and unlikely FH. The severity of coronary artery disease was evaluated by the Gensini scoring system. Plasma levels of total cholesterol (TC), triacylglycerol (TG), HDL-cholesterol (HDL-c), LDL-cholesterol (LDL-c), very low-density lipoproteins-cholesterol (VLDL-c), apolipoprotein A1 (apoA1), apolipoprotein B (apoB) and lipoprotein (a) (Lp(a)) were determined centrally at baseline and the last follow-up visit in the fasting state. The non-high-density lipoprotein cholesterol (non-HDL-c) concentration, the TC/HDL-c and apoB/apoA1 ratios were calculated. After FH patients received lipid-lowering treatment containing statin, the target LDL-c levels recommended by the guidelines (LDL-c < 1.8 mmol/L or < 1.4 mmol/L and a reduction > 50% from baseline) were evaluated, and the occurrence of major adverse cardiovascular and cerebrovascular events (MACCE) during the 12-month follow-up was recorded.ResultsThe prevalence of clinically definite or probable FH was 4.3%, and the prevalence of possible FH was 10.6%. Compared with the unlikely FH patients with ACS, the FH patients had higher levels of TC, LDL-c, apoB, Lp(a), non-HDL-c, TC/HDL-c and apoB/apoA1 ratio, more severe coronary artery diseases and greater prevalence of left main and triple or multiple vessel lesions. After lipid-lowering therapy containing statins, a minority of FH patients reached the target LDL-c levels defined by the guidelines (χ2 = 33.527, P < 0.001). During the 12-month follow-up, a total of 72 patients experienced MACCE. The survival curve in patients in the FH group was significantly lower than that in the unlikely FH group (HR = 1.530, log-rank test: P < 0.05). Furthermore, the survival curve in patients with high LDL-c (≥ 1.8 mmol/L) was significantly lower than that in patients with low LDL-c (< 1.8 mmol/L) at the 12-month follow-up visit (HR = 1.394, log-rank test: P < 0.05). No significant difference was observed between patients with LDL-c levels ≥ 1.4 mmol/L and with < 1.4 mmol/L at the 12-month follow-up visit by using Kaplan–Meier survival analysis (HR = 1.282, log-rank test: P > 0.05).ConclusionsFH was an independent risk factor for MACCE in adult patients after a coronary event during long-term follow-up. However, there was inadequate high-intensity statins prescriptions for high-risk patients in this current study. It is important for FH patients to optimize lipid-lowering treatment strategies to reach the target LDL-c level to improve the long-term prognosis of clinical outcomes.

Prognostic value of diagnostic criteria for familial hypercholesterolemia in men and women with dyslipidemia

Aim. To analyze the prognostic value of the Dutch Lipid Clinic Network (DLCN) and Simon Broome Register (SBR) screening criteria for familial hypercholesterolemia (FH) in men and women with dyslipidemia.Material and methods. The study included 1233 patients with dyslipidemia.Biomaterial samples from 421 patients were studied using Next Generation Sequencing (NGS) to identify FH-associated genes. Statistical analysis was carried out using the StatTech v program. 3.1.6 (OOO Stattekh, Russia).Results. The most significant factors for predicting the FH in men are the level of low-density lipoprotein cholesterol (LDL-C) (1,77 times), positive family history for coronary artery disease (CAD) (6,26 times), multivessel coronary artery disease (4,05 times); in women before menopause — LDL-C (1,77 times per 1 mmol/l) and/or family history of coronary artery disease (3,31 times), in menopausal women — total cholesterol level (1,79 times per 1 mmol/l), coronary artery disease (6,52 times) and/or family history of stroke (6,04 times), xanthomas (4,24 times). Acute myocardial infarction and/or coronary stenting, arcus senilis, extracranial artery atherosclerosis did not prove to be prognostically significant for FH diagnosis.Conclusion. Diagnostic criteria for potential FH vary among patient populations. Its diagnostic significance depends on sex, and in women, reproductive status.

Prevalence and factors associated with possible cases of familial hypercholesterolemia in Brazilian adults: a cross-sectional study

This study aimed to estimate the prevalence of possible cases of FH and analyze associated factors in the adult Brazilian population. Cross-sectional study with laboratory data from the Brazilian National Health Survey, with 8521 participants. Possible cases of FH were defined according to the Dutch Lipid Clinic Network criteria. The prevalence and 95% confidence intervals (95% CI) of possible cases of FH were estimated according to sociodemographic variables, lifestyle, diabetes, hypertension, altered tests, treatment and self-rated health. Logistic regression was used to analyze the associations. The prevalence of possible cases of FH was 0.96%, higher in women, between 45 and 59 years, white race/skin color and others, less education, people with diabetes, hypertension and total cholesterol ≥ 310 mg/dL. The presence of FH was positively associated with regular self-rated health (OR 1.96; 95% CI 0.99–3.84), poor/very poor (OR 3.02; 95% CI 1.30–7.03) and negatively with black race/skin color (OR 0.10; 95% CI 0.02–0.46) and complete elementary school, incomplete high school (OR 0.47; 95% CI 0.23–0.98) and complete high school and more (OR 0.45; 95% CI 0.21–0.95). FH affects 1:104 Brazilian adults, these findings contribute to understanding the burden of disease in Brazil. Due to the scarcity of studies on FH in low- and middle-income countries, further studies are desirable.

Detection of hidden cases of familial hypercholesterolemia in the Netherlands: a central laboratory data-driven strategy

Abstract Introduction Familial hypercholesterolemia (FH) is a common genetic disorder in which patients are at high risk for premature coronary artery disease (CAD) due to lifelong exposure to low-density lipoprotein cholesterol (LDL-C). Although early diagnosis and lipid lowering therapy (LLT) are essential to prevent adverse cardiovascular outcomes, FH patients remain globally underdiagnosed and undertreated, warranting novel screening methods to identify these patients. In the present study we aimed to evaluate whether existing central laboratory data can be utilized as a new method to detect undiagnosed FH patients. Additionally, we investigated the extent of underdiagnosis and undertreatment among patients with severe hypercholesterolemia in the Netherlands. Methods In this single-center, cross-sectional study, we selected individuals with at least one previously measured LDL-C plasma level ≥99.5th percentile for age and sex, from a central laboratory database containing lipid profiles of approximately 600.000 primary care patients. First, a blood sample was obtained to get more recent lipid values. Participating patients were subsequently asked to fill out a detailed questionnaire on medical and family history. Using these data, we calculated the Dutch Lipid Clinic Network (DLCN) criteria for each patient for the clinical diagnosis of FH. Results We identified a total of 5,100 patients with severe hypercholesterolemia (at least one LDL-C ≥99.5th percentile for age and sex) from the central laboratory database. Out of these, 1,206 patients (24%) participated in this study. Mean ± SD LDL-C corrected for LLT was 5.72 ± 1.83 mmol/L, 785 patients (65.1%) used LLT, and 150 patients (12.4%) had CVD in their medical history. In total, 131 patients (11%) had a persistent LDL-C ≥99.5th percentile for age and sex. DLCN criteria for phenotypic FH (DLCN score ≥6) were met by 302 patients (25%) of whom 39 patients (12.9%) had undergone prior genetic testing according to clinical guidelines. Of the 302 clinically diagnosed FH patients only 1 (0.3%) met the European Society of Cardiology (ESC) guideline recommending LDL-C targets &amp;lt;1.8 mmol/L in FH patients. Conclusion These data highlight the significant underdiagnosis and undertreatment of FH in the Netherlands, despite the fact that this country has a relatively high FH identification rate. We demonstrate that the use of central laboratory data is an effective strategy for identifying previously undetected cases of FH and eagerly await the genetic confirmation of the newly identified FH patients in this study, which will provide valuable insights into the genetic basis of this disorder and help further improve patient care.

Decreased Serum Stromal Cell-Derived Factor-1 in Patients with Familial Hypercholesterolemia and Its Strong Correlation with Lipoprotein Subfractions.

Stromal cell-derived factor-1 (SDF-1) is a chemokine that exerts multifaceted roles in atherosclerosis. However, its association with hyperlipidemia is contradictory. To date, serum SDF-1 and its correlations with lipid fractions and subfractions in heterozygous familial hypercholesterolemia (HeFH) have not been investigated. Eighty-one untreated patients with HeFH and 32 healthy control subjects were enrolled in the study. Serum SDF-1, oxidized LDL (oxLDL) and myeloperoxidase (MPO) were determined by ELISA. Lipoprotein subfractions were detected by Lipoprint. We diagnosed FH using the Dutch Lipid Clinic Network criteria. Significantly lower serum SDF-1 was found in HeFH patients compared to healthy controls. Significant negative correlations were detected between serum total cholesterol, triglycerides, LDL-cholesterol (LDL-C), apolipoprotein B100 (ApoB100) and SDF-1. Furthermore, serum SDF-1 negatively correlated with VLDL and IDL, as well as large LDL and large and intermediate HDL subfractions, while there was a positive correlation between mean LDL-size, small HDL and SDF-1. SDF-1 negatively correlated with oxLDL and MPO. A backward stepwise multiple regression analysis showed that the best predictors of serum SDF-1 were VLDL and oxLDL. The strong correlation of SDF-1 with lipid fractions and subfractions highlights the potential common pathways of SDF-1 and lipoprotein metabolism, which supports the role of SDF-1 in atherogenesis.

Attainment of Low-Density Lipoprotein Cholesterol Targets and Prescribing Pattern of Lipid-Lowering Medications among Patients with Familial Hypercholesterolemia Attending Specialist Clinics.

Patients with familial hypercholesterolemia (FH) are known to have higher exposure to coronary risk than those without FH with similar low-density lipoprotein cholesterol (LDL-C) level. Lipid-lowering medications (LLMs) are the mainstay treatments to lower the risk of premature coronary artery disease in patients with hypercholesterolemia. However, the LLM prescription pattern and its effectiveness among Malaysian patients with FH are not yet reported. The aim of this study was to report the LLM prescribing pattern and its effectiveness in lowering LDL-C level among Malaysian patients with FH treated in specialist hospitals. Subjects were recruited from lipid and cardiac specialist hospitals. FH was clinically diagnosed using the Dutch Lipid Clinic Network Criteria. Patients' medical history was recorded using a standardized questionnaire. LLM prescription history and baseline LDL-C were acquired from the hospitals' database. Blood samples were acquired for the latest lipid profile assay. A total of 206 patients with FH were recruited. Almost all of them were on LLMs (97.6%). Only 2.9% and 7.8% of the patients achieved the target LDL-C of ＜1.4 and ＜1.8 mmol/L, respectively. The majority of patients who achieved the target LDL-C were prescribed with statin-ezetimibe combination medications and high-intensity or moderate-intensity statins. All patients who were prescribed with ezetimibe monotherapy did not achieve the target LDL-C. The majority of Malaysian patients with FH received LLMs, but only a small fraction achieved the therapeutic target LDL-C level. Further investigation has to be conducted to identify the cause of the suboptimal treatment target attainment, be it the factors of patients or the prescription practice.

Generation and validation of a classification model to diagnose familial hypercholesterolaemia in adults

Background and aimsThe early diagnosis of familial hypercholesterolaemia is associated with a significant reduction in cardiovascular disease (CVD) risk. While the recent use of statistical and machine learning algorithms has shown promising results in comparison with traditional clinical criteria, when applied to screening of potential FH cases in large cohorts, most studies in this field are developed using a single cohort of patients, which may hamper the application of such algorithms to other populations. In the current study, a logistic regression (LR) based algorithm was developed combining observations from three different national FH cohorts, from Portugal, Brazil and Sweden. Independent samples from these cohorts were then used to test the model, as well as an external dataset from Italy. MethodsThe area under the receiver operating characteristics (AUROC) and precision-recall (AUPRC) curves was used to assess the discriminatory ability among the different samples. Comparisons between the LR model and Dutch Lipid Clinic Network (DLCN) clinical criteria were performed by means of McNemar tests, and by the calculation of several operating characteristics. ResultsAUROC and AUPRC values were generally higher for all testing sets when compared to the training set. Compared with DLCN criteria, a significantly higher number of correctly classified observations were identified for the Brazilian (p < 0.01), Swedish (p < 0.01), and Italian testing sets (p < 0.01). Higher accuracy (Acc), G mean and F1 score values were also observed for all testing sets. ConclusionsCompared to DLCN criteria, the LR model revealed improved ability to correctly classify observations, and was able to retain a similar number of FH cases, with less false positive retention. Generalization of the LR model was very good across all testing samples, suggesting it can be an effective screening tool if applied to different populations.

Searching for new genes associated with the familial hypercholesterolemia phenotype using whole-genome sequencing and machine learning.

One of the most common congenital metabolic disorders is familial hypercholesterolemia. Familial hypercholesterolemia is a condition caused by a type of genetic defect leading to a decreased rate of removal of low-density lipoproteins from the bloodstream and a pronounced increase in the blood level of total cholesterol. This disease leads to the early development of cardiovascular diseases of atherosclerotic etiology. Familial hypercholesterolemia is a monogenic disease that is predominantly autosomal dominant. Rare pathogenic variants in the LDLR gene are present in 75-85 % of cases with an identified molecular genetic cause of the disease, and variants in other genes (APOB, PCSK9, LDLRAP1, ABCG5, ABCG8, and others) occur at a frequency of < 5 % in this group of patients. A negative result of genetic screening for pathogenic variants in genes of the low-density lipoprotein receptor and its ligands does not rule out a diagnosis of familial hypercholesterolemia. In 20-40 % of cases, molecular genetic testing fails to detect changes in the above genes. The aim of this work was to search for new genes associated with the familial hypercholesterolemia phenotype by modern high-tech methods of sequencing and machine learning. On the basis of a group of patients with familial hypercholesterolemia (enrolled according to the Dutch Lipid Clinic Network Criteria and including cases confirmed by molecular genetic analysis), decision trees were constructed, which made it possible to identify cases in the study population that require additional molecular genetic analysis. Five probands were identified as having the severest familial hypercholesterolemia without pathogenic variants in the studied genes and were analyzed by whole-genome sequencing on the HiSeq 1500 platform (Illumina). The whole-genome sequencing revealed rare variants in three out of five analyzed patients: a heterozygous variant (rs760657350) located in a splicing acceptor site in the PLD1 gene (c.2430-1G>A), a previously undescribed single-nucleotide deletion in the SIDT1 gene [c.2426del (p.Leu809CysfsTer2)], new missense variant c.10313C>G (p.Pro3438Arg) in the LRP1B gene, and single-nucleotide deletion variant rs753876598 [c.165del (p.Ser56AlafsTer11)] in the CETP gene. All these variants were found for the first time in patients with a clinical diagnosis of familial hypercholesterolemia. Variants were identified that may influence the formation of the familial hypercholesterolemia phenotype.

Incidence of familial hypercholesterolemia in patients with early manifestations of coronary artery disease: data from a Russian multicenter study and meta-analysis

Aim. To assess the possibility of familial hypercholesterolemia (FH) detection among patients with early coronary artery disease (CAD) in practice in comparison with data from different populations. Patients with early manifestations of CAD are a promising group for identifying a proband with FH and subsequent cascade screening. The question remains open about the sufficiency of clinical criteria for diagnosing this disease.Material and methods. We examined 651 patients with CAD manifestations aged £55 years in men and £60 years in women. FH was diagnosed according to the Dutch Lipid Clinic Network (DLCN) criteria, and cardiovascular risk was assessed using the Montreal-FH-SCOR E. In 35 phenotype-positive patients with FH, as well as 5 with lowdensity lipoprotein cholesterol levels ³5,5 mmol/l and 23 with age of manifestation of coronary artery disease £35 years, the coding sequence of the genes for apolipoprotein B (APOB), low-density lipoprotein receptor (LDLR), low-density lipoprotein receptor adapter protein 1 (LDLRAP1), proprotein convertase subtilisin/kexin type 9 (PCSK9).Results. Definite FH was in 8 (1,2%), probable in 27 (4.2%), possible in 339 (52,1%) patients, while 277 (42,5%) patients had DLCN score of &lt;3 points; 31 (88,6%), of 35 phenotype-positive patients had a high Montreal-FH-SCORE risk. Six carriers of pathogenic variants were identified, 2 of which were among phenotype-negative patients. A meta-analysis of 16 studies with 13065 patients (2012-2023) showed that the incidence of FH is 5,22 (4,848-5,619)% (fixed model) and 5,93 (4,528-7,515)% (random model).Conclusion. The use of existing diagnostic scales does not provide guaranteed detection of FH among patients with early CAD. It is likely that DLCN modification by additional gradation of the criterion for the age of CAD manifestation will help increase its diagnostic value.

Screening and clinical characteristics analysis of familial hypercholesterolemia in a tertiary public hospital.

Familial hypercholesterolemia (FH) is becoming a global burden. However, it remains underdiagnosed and undertreated worldwide. This study aimed to observe the screening rate of FH patients and department distribution among hospitalized patients using different diagnostic criteria. A total of 45,410 inpatients with LDL-C ≥3.5 mmol/L between 2008 and 2019 were included from The Second Affiliated Hospital of Nanchang University. Inpatients are diagnosed and divided into groups by Dutch Lipid Clinic Network (DLCN) criteria, Chinese-modified DLCN criteria and Chinese expert consensus (CEC) criteria. There were 172, 1,076 and 115 inpatients included in the DLCN group, Chinese-modified DLCN group and CEC group, respectively (screening rates: 0.38%, 2.37% and 0.25%). These FH patients had a very high risk of atherosclerotic cardiovascular disease (ASCVD) (55.7%-74.4%), especially in the DLCN group and CEC group (70.4%-74.4%). More than half of the patients were in the Department of Cardiology, and other high-risk departments included Neurology, Nephrology, Vascular Surgery, Otolaryngology & Head Neck Surgery and Traditional Chinese Medicine (24.35%-31.51%). Overall, hypertension, coronary heart disease, carotid arteriosclerosis, hepatic cyst, arrhythmia, and nonalcoholic fatty liver disease were common accompanying diseases with FH. It is necessary to establish appropriate diagnostic criteria and more positive treatment strategies for the FH inpatient population. In addition, promoting awareness of FH among doctors from other departments is also necessary. Therefore, developing a comprehensive management strategy for FH disease is very important.

LDLR gene’s promoter region hypermethylation in patients with familial hypercholesterolemia

Familial hypercholesterolemia (FH) is characterized by high low-density lipoprotein cholesterol (LDL-C) levels and a high risk of early coronary heart disease. Structural alterations in the LDLR, APOB, and PCSK9 genes were not found in 20–40% of patients diagnosed using the Dutch Lipid Clinic Network (DCLN) criteria. We hypothesized that methylation in canonical genes could explain the origin of the phenotype in these patients. This study included 62 DNA samples from patients with a clinical diagnosis of FH according to the DCLN criteria, who previously tested negative for structural alterations in the canonical genes, and 47 DNA samples from patients with normal blood lipids (control group). All DNA samples were tested for methylation in the CpG islands of the three genes. The prevalence of FH relative to each gene was determined in both groups and the respective prevalence ratios (PRs) were calculated. The methylation analysis of APOB and PCSK9 was negative in both groups, showing no relationship between methylation in these genes and the FH phenotype. As the LDLR gene has two CpG islands, we analyzed each island separately. The analysis of LDLR-island1 showed PR = 0.982 (CI 0.33–2.95; χ2 = 0.001; p = 0.973), also suggesting no relationship between methylation and the FH phenotype. Analysis of LDLR-island2 showed a PR of 4.12 (CI 1.43–11.88; χ2 = 13,921; p = 0.00019), indicating a possible association between methylation on this island and the FH phenotype.

The Association of Thyroid-Stimulating Hormone (TSH) Levels and Lipid Profile in Euthyroid Patients with Familial Hypercholesterolemia.

Previous studies reported a relationship between thyroid-stimulating hormone (TSH) and low-density lipoprotein cholesterol (LDL-C) levels. In this study, we aim to evaluate the impact of TSH levels on lipid profile in patients with familial hypercholesterolemia (FH) and euthyroid state. Patients were selected from the Isfahan FH registry. The Dutch Lipid Clinic Network (DLCN) criteria are used to detect FH. Patients were classified into no FH, possible FH, probable FH, and definite FH groups based on the DLCN scores. Patients with any cause of secondary hyperlipidemia, including hypothyroidism, were excluded from this study. The study group consisted of 103 patients with possible FH, 25 patients with definite FH, and 63 individuals with no FH. The mean TSH and LDL-C levels among participants were 2.10 ± 1.22 mU/l and 142.17 ± 62.56 mg/dl, respectively. No positive or negative correlation was found between serum TSH and total cholesterol (P value = 0.438), high-density lipoprotein cholesterol (P = 0.225), triglycerides (P value = 0.863), and LDL-C (P value = 0.203). We found no correlation between serum TSH levels and lipid profiles in euthyroid patients with FH.

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

Background and aimsIt 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. MethodsFrom 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. ResultsA 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. ConclusionsIn 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.

The prevalence and treatment patterns of familial hypercholesterolemia among Thai patients with premature coronary artery disease

ABSTRACT Objectives Familial hypercholesterolemia (FH) is an autosomal dominant genetic disorder that is characterized by severe hypercholesterolemia. The prevalence of FH in Thailand has not been reported. Therefore, this study aimed to investigate the prevalence of FH and treatment patterns among Thai patients with premature coronary artery disease (pCAD). Methods A total of 1,180 pCAD patients at two heart centers from northeastern and southern Thailand between October 2018 and September 2020 were enrolled. FH was diagnosed using the Dutch Lipid Clinic Network (DLCN) criteria. pCAD was diagnosed in men aged < 55 years and women aged < 60 years. Results The prevalence of definite/probable FH, possible FH, and unlikely FH in pCAD patients was 1.36% (n = 16), 24.83% (n = 293), and 73.81% (n = 871), respectively. Definite/probable FH in pCAD patients had a significantly higher frequency of STEMI but a lower frequency of hypertension than those with unlikely FH. After discharge, most pCAD patients (95.51%) received statin therapy. Definite/probable FH patients had a higher frequency of high-intensity statin therapy than those with possible FH and unlikely FH. After follow-up for 3–6 months, approximately 54.72% of pCAD patients with DLCN scores ≥ 5 had a reduction in LDL-C > 50% from baseline. Conclusions The prevalence of definite/probable FH, particularly possible FH, was high among pCAD patients in this study. The early diagnosis of FH among Thai pCAD patients should be performed for the early treatment and prevention of CAD.

The effect of adjusting LDL-cholesterol for Lp(a)-cholesterol on the diagnosis of familial hypercholesterolaemia

Familial hypercholesterolaemia (FH) diagnostic tools help prioritise patients for genetic testing and include LDL-C estimates commonly calculated using the Friedewald equation. However, cholesterol contributions from lipoprotein(a) (Lp(a)) can overestimate 'true' LDL-C, leading to potentially inappropriate clinical FH diagnosis. To assess how adjusting LDL-C for Lp(a)-cholesterol affects FH diagnoses using Simon Broome (SB) and Dutch Lipid Clinic Network (DLCN) criteria. Adults referred to a tertiary lipid clinic in London, UK were included if they had undergone FH genetic testing based on SB or DLCN criteria. LDL-C was adjusted for Lp(a)-cholesterol using estimated cholesterol contents of 17.3%, 30% and 45%, and the effects of these adjustments on reclassification to 'unlikely' FH and diagnostic accuracy were determined. Depending on the estimated cholesterol content applied, LDL-C adjustment reclassified 8-23% and 6-17% of patients to 'unlikely' FH using SB and DLCN criteria, respectively. The highest reclassification rates were observed following 45% adjustment in mutation-negative patients with higher Lp(a) levels. This led to an improvement in diagnostic accuracy (46% to 57% with SB, and 32% to 44% with DLCN following 45% adjustment) through increased specificity. However all adjustment factors led to erroneous reclassification of mutation-positive patients to 'unlikely' FH. LDL-C adjustment for Lp(a)-cholesterol improves the accuracy of clinical FH diagnostic tools. Adopting this approach would reduce unnecessary genetic testing but also incorrectly reclassify mutation-positive patients. Health economic analysis is needed to balance the risks of over- and under-diagnosis before LDL-C adjustments for Lp(a) can be recommended.

Actual nutrition in adults with familial hypercholesterolemia

Familial hypercholesterolemia (FH) is a highly atherogenic, genetically based lipid disorder. For patients with FH, dietary modification is the cornerstone of complex lipidlowering therapy. The aim of the research was to assess the actual nutrition in adults with familial hypercholesterolemia. Material and methods. The study included 100 patients over 18 years old (including 46% men) with "probable" or "definite" FH according to the Dutch Lipid Clinic Network or Simon Broome criteria from the GENMOTIV-FH study (ClinicalTrials: NCT04656028) in 2019-2021. Actual nutrition was assessed using the 24-hour dietary recall method. The frequency of the main meal groups' consumption and food-related behavior were assessed using a questionnaire method. The data are presented as the median [Q25; Q75]. Results. The study showed the excess consumption of protein (19.3 [16.7; 24.0] in men and 18.6% [13.6; 24.3] in women, p=0.592), total fat (35.1 [29.4; 41.0] in men vs 39.2% [33.2; 47.5] in women, p=0.018), including saturated fatty acids (9.6 [4.7; 13.0] vs 10.4% [7.5; 14.2], respectively, p=0.151), and cholesterol (265.8 [188.8; 521.9] mg/day in men vs 282.1 [147.2; 542.8] mg/day in women, p=0.936). Consumption of total carbohydrates (44.3 [37.2; 50.0] vs 39.6% [30.1; 48.8], respectively, p=0.100) and fiber (10.7 [7.3; 13.3] g/day in men vs 11.5 [7.9; 13.9] g/day in women, p=0.372) was insufficient. Only 47.9% of patients consumed vegetables daily, 39.1% - fruits and berries. The majority (64.5%) of patients with FH preferred high-fat cheese (>=25%). Cottage cheese of >=5% fat content preferred 52.7% of patients. The daily poultry consumption was more than red meat (19.3 vs 4.3% respectively, p=0.003). Regularly included fish in their meal 53.8% of patients. Conclusion. The actual nutrition in adults with FH does not match international guidelines. The results highlight the importance of dietary interventions for patients with FH.

Prevalence of familial hypercholesterolemia in patients with confirmed premature coronary artery disease in Ranchi, Jharkhand

BackgroundFamilial hypercholesterolemia (FH) is an under-diagnosed autosomal co-dominant genetic disorder characterized by very high plasma levels of low-density lipoprotein cholesterol (LDL-C), premature coronary artery disease (CAD) with arcus cornealis, and xanthomas. Among patients with CAD, the frequency of FH is significantly higher than that of the general population, but little data are available in India in this regard. This study aimed to assess the prevalence of FH in patients with premature coronary artery disease for the first time in the Jharkhand population.ResultsThe study was conducted on 200 premature CAD patients at RIMS hospital, Ranchi, from January 2020 to June 2021 with CAG-confirmed acute coronary syndrome. The study, without taking the aid of genetic profiling of the patients and using the Dutch Lipid Clinic Network Criteria, revealed quite a high (23.5%) prevalence of potential FH in patients with premature CAD apart from the conventional risk factors. Mean LDL-C levels among patients with definite, probable, possible, and no FH were recorded as 250.39, 184.32, 136.11, and 108.09 mg/dl, respectively. Arcus cornealis was seen in 55.31% of patients with potential FH, 90% in definite FH, and 44.40% with probable FH. Patients with potential FH were more likely to be younger (age < 40 years) males, having a history of CAD and a family history of premature CAD as compared to patients without FH.ConclusionsThere was no previous report of large studies on FH or its epidemiology and its natural history from India. The present study is the first one to show a high prevalence of potential FH in premature CAD (about 23.5%). This preliminary study revealed that the prevalence of FH in patients with premature CAD who came to the tertiary care hospital of Ranchi, Jharkhand, was high, apart from the conventional risk factors.

Association of Dutch lipid clinic network criteria with reduction in low-density lipoprotein cholesterol in patients with ST-elevation myocardial infarction

The Dutch Lipid Clinic Network (DLCN) scoring system is a recognized tool to risk stratify and diagnose familial hypercholesterolaemia (FH). FH is an autosomal dominant condition that predisposes individuals to high serum low density lipoprotein (LDL) levels, and is a recognized cause of accelerated atherosclerotic cardiovascular disease, including ST-elevation myocardial infarction (STEMI). 46% of Malaysian patients with STEMI were found to have probable/possible FH by DLCN criteria.