Home Clinical characteristics associated with elevated levels of lipoprotein(a) in patients with vascular risk
Article Open Access

Clinical characteristics associated with elevated levels of lipoprotein(a) in patients with vascular risk

  • Javier Rubio-Serrano ORCID logo EMAIL logo , Alejandra Gullón Ojesto and Carmen Suárez Fernández
Published/Copyright: December 1, 2023

Abstract

Objectives

Lipoprotein(a) (Lp(a)) is increasingly used in the evaluation of patients with vascular risk due to its association with cardiovascular events. The purpose of this study was to identify the clinical characteristics of patients with elevated levels of Lp(a) attended in an outpatient vascular risk unit.

Methods

An observational, retrospective study was conducted to assess the clinical characteristics of patients with elevated levels of Lp(a) (≥50 mg/dL), as compared to patients with normal values (<50 mg/dL). The sample was composed of 878 patients identified as having a high vascular risk due to a diagnosis of vascular disease, attended in a vascular risk unit between 2021 and 2022.

Results

The highest levels of Lp(a) were independently associated with a higher probability of having a history of peripheral arterial disease (p=0.024), polygenic familial hypercholesterolemia (PH, p=0.030) and combined familial hypercholesterolemia (CFH, p=0.015); and using PCSK9 inhibitor treatment (p=0.029) and combination therapy with statins and ezetimibe (p=0.018). In contrast, there were no significant differences in relation to familial history of early cardiovascular disease (p=0.143) or personal history of cardiovascular disease (p=0.063), which contrasts with other series.

Conclusions

Elevated levels of Lp(a) were associated with a history of peripheral arterial disease, diagnosis of FHP and CFH, and need for more intense lipid-lowering treatments.

Introduction

Lipoprotein(a) (Lp(a)) is a spherical macromolecular complex consisting of a low-density lipoprotein-like particle. Lp(a) is composed of one molecule of apolipoprotein B100 (apoB100) bound covalently to apolipoprotein(a) (apo(a)) by a disulfide bridge [1, 2].

There is broad variability in plasma concentrations of Lp(a) in the general population. However, lifetime within-subject variability is limited [3]. Elevated levels of Lp(a) are associated with a higher risk for atherosclerotic cardiovascular disease and aortic stenosis. The risk increases in the presence of other risk factors, including hypertension, diabetes, obesity, smoking, or a family history of early cardiovascular disease [1, 4, 5].

Concentrations >30 mg/dL and >50 mg/dL contributed to increased cardiovascular risk mediated by different mechanisms [6]. Firstly, Lp(a) promotes the development of atheromatous plaques due to the binding of apo(a) to plasmin [7]. Additionally, Lp(a) is involved in the activation of proinflammatory signaling pathways and the reduction of endothelial nitric oxide availability [8, 9]. Lp(a) also interferes with fibrinolysis by binding to plasmin, thereby reducing its activity to dissolve clots on the inner surface of blood vessels. This interference may increase the risk for thrombi and arterial obstruction, thereby contributing to the development of cardiovascular diseases [10].

Previous diseases have demonstrated a higher prevalence of elevated levels of Lp(a) in patients with familial hypercholesterolemia (FH). FH is a hereditary genetic disorder characterized by elevated levels of LDL cholesterol (LDL-C) that increases the risk for atherosclerotic cardiovascular disease [11, 12]. This metabolic disorder is mainly caused by pathogenic mutations in the genes encoding the LDL receptor (LDLR) [13, 14]; proprotein convertase subtilisin/kexin type 9 (PCSK9) [14, 15]; or apoliprotein B (APOB) [14, 16].

There are not pharmacological treatments currently available for the reduction of Lp(a). However, measurement of Lp(a) concentrations in vascular risk patients may contribute to stratifying risk and modifying therapeutic targets [17]. The Spanish Association of Arteriosclerosis (SEA) recommends measuring Lp(a) at least once in life in patients with vascular risk, due to its role as a potent prognostic marker [18]. The purpose of this study was to identify the clinical characteristics of patients with elevated levels of Lp(a) attended in an outpatient vascular risk unit.

Materials and methods

Type of study

An observational, retrospective study was carried out involving patients with vascular risk attending the outpatient consultations of La Princesa University Hospital, a tertiary hospital in Madrid, Spain, serving a population of 323,000. Patients were included for two consecutive years, 2021 and 2022.

Selection of patients

Sequential sampling was performed of all vascular-risk patients with a Lp(a) measurement available (with or without a history of cardiovascular events) attended in the outpatient consultations of internal medicine, cardiology, endocrinology, and neurology between 2021 and 2022. A total of 878 patients met the inclusion criteria.

This study was approved by the Ethics Committee of La Princesa University Hospital. The personal data of patients were always kept confidential.

Study variables

The clinical and laboratory variables collected during routine visits included: demographics (age and sex); Lp(a) test requesting service; vascular risk factors (history of dyslipidemia, hypertension, diabetes, smoking, obesity, and family history of early cardiovascular disease); history of previous cardiovascular disease (ischemic heart disease, cerebrovascular disease, aortic stenosis, and peripheral arterial disease); diagnosis of familial dyslipidemia (differentiating between heterozygous familial hypercholesterolemia (HFH), polygenic familial hypercholesterolemia (PFH), and combined familial hypercholesterolemia (CHF)); Lp(a) (mg/dL) and LDL-C (mg/dL) levels in blood; and finally lipid-lowering treatments used: high-potency statins (atorvastatin ≥40 mg or rosuvastatin ≥10 mg), low-potency statins (atorvastatin <40 mg, rosuvastatin <10 mg, simvastatin, pravastatin, lovastatin, fluvastatin, or pitavastatin), ezetimibe, and/or PCSK9 inhibitors (PCSK9i).

The laboratory techniques currently used for determination of Lp(a) may be subject to variability due to heterogeneity in the size of the apo(a) molecule, determined by the number of type 2 kringle 4 domains in its encoding gene. Lp(a) quantification was carried out by immunoturbidimetry on a Roche/Hitachi Cobas c 701/702 analyzer with anti-apoA antibodies, as they are standardized quantification techniques against an apo(a) size-independent method. Levels were expressed in nmol/L, which were converted into mg/dL for clinical interpretation purposes.

Statistical analysis

According to the literature, optimal plasma Lp(a) concentrations are <30 mg/dL. However, in clinical practice, Lp(a) levels >50 mg/dL have been observed to be strongly associated with a higher risk for cardiovascular disease [19], [20], [21]. A comparative analysis was performed of the clinical characteristics of patients with elevated levels of Lp(a) (Lp(a)≥50 mg/dL) and patients with levels associated with a lower risk for cardiovascular disease (Lp(a)<50 mg/dL).

Quantitative variables are presented as central tendency measures, means and standard deviations, whereas qualitative variables are expressed as frequencies and absolute percentages.

On univariate analysis, as data distribution was nonparametric, Mann–Whitney U test was performed to explore differences between categorical and continuous variables. Chi-square test was performed to assess differences in categorical variables (chi-square). Independent variables with a p-value <0.1 on univariate analysis were included for multivariate analysis. Clinically relevant variables associated with Lp(a) levels in the literature were also included for multivariate analysis [4]. For multivariate modeling, backward logistic regression was performed. An alpha error <0.05 with a 95 % confidence interval was considered statistically significant. All statistical analyses were performed using R version 4.3.0 software package [22].

Results

A total of 878 patients with high cardiovascular risk attended between 2021 and 2022 were included in the study. Lp(a) testing was requested by the units of internal medicine (48 %), cardiology (46 %), endocrinology (2 %), neurology (1 %), and other services (3 %). In total, 274 patients (27.2 %) exhibited elevated levels of Lp(a) (Lp(a)≥50 mg/dL). Among patients with elevated Lp(a), 17 (1.9 %) had Lp(a)≥180 mg/dL, which has been associated with a lifetime risk for vascular events similar to that associated with HFH [23]. In addition, in 84 patients (10.7 %), levels ranged from 30 to 50 mg/dL and the remaining 520 patients (62.1 %) had levels <30 mg/dL, which are considered normal levels in the general population [24].

Mean age was 61 years, and 37 % were women. In relation to vascular risk factors, more than half of the participants had dyslipidemia and hypertension. Most patients had a high body mass index (BMI) consistent with overweight (27.3 %), and only 28.4 % had a family history of early cardiovascular disease. More than half of the sample had a history of vascular event, primarily ischemic heart disease (48.2 %), followed by cerebrovascular disease (7.4 %), peripheral arterial disease (6.3 %) and aortic stenosis (2.3 %). In total, 15.9 % of patients had a family history of dyslipidemia, most frequently, polygenic familial hypercholesterolemia. Finally, considering the lipid-lowering treatments used, more than half of the sample took high-potency statins (53.4 %); statins + ezetimibe (33.1 %); statins + iPCSK9 (2.8 %); and statins + ezetimibe + iPCSK9 (1.7 %) (Table 1).

Table 1:

Clinical and antropometric variables of the study population.

Variables Total population (n=878) Lp(a)<50 mg/dL

(n=604)
Lp(a)≥50 mg/dL

(n=274)
Age, years, mean ± SD 60.8 ± 14.0 60.4 ± 13.9 61.8 ± 14.2
Sex, female, n (%) 321 (36.6) 209 (34.6) 112 (40.9)
Vascular risk factors
 Dyslipemia, n (%) 674 (76.8) 449 (74.3) 225 (82.1)
 LDL-C, mg/dL, mean ± SD 90.2 ± 40.1 90.7 ± 40.8 89.1 ± 38.5
 Hypertension, n (%) 516 (58.8) 361 (59.8) 155 (56.6)
 Diabetes, n (%) 202 (23.0) 136 (22.5) 66 (24.1)
 Active smoking, n (%) 212 (24.1) 160 (26.7) 52 (19.1)
 BMI, mean ± SD 27.3 ± 4.7 27.5 ± 4.8 26.9 ± 4.6
 FH of ECVD, n (%)a 129 (28.4) 82 (26.6) 47 (32.0)
Previous cardiovascular disease
 Total CVD, n (%) 479 (54.6) 329 (54.5) 150 (54.7)
 Ischemic heart disease, n (%) 423 (48.2) 291 (48.2) 132 (48.2)
 Cerebrovascular disease, n (%) 65 (7.4) 48 (8.0) 17 (6.2)
 Aortic stenosis, n (%) 20 (2.3) 14 (2.3) 6 (2.2)
 PAD, n (%) 55 (6.3) 30 (5.0) 25 (9.1)
Familial dyslipidemia
 HFH, n (%) 28 (3.2) 15 (2.5) 13 (4.7)
 PFH, n (%) 93 (10.6) 50 (8.3) 43 (15.7)
 FCH, n (%) 18 (2.1) 8 (1.3) 10 (3.7)
Lipid-lowering treatments
 High-potency statins, n (%) 469 (53.4) 310 (51.3) 159 (58.0)
 Low-potency statins, n (%) 179 (20.4) 116 (19.2) 63 (23.0)
 Ezetimibe, n (%) 326 (37.1) 195 (32.3) 131 (47.8)
 PCSK9i, n (%) 47 (5.4) 20 (3.3) 27 (9.9)
 Statins + ezetimibe, n (%) 291 (33.1) 172 (28.5) 119 (43.4)
 Statins + PCSK9i, n (%) 25 (2.8) 10 (1.7) 15 (5.5)
 Statins + ezetimibe + PCSK9i, n (%) 15 (1.7) 4 (0.7) 11 (4.0)
  1. SD, standard deviation; LDL-C, low-density lipoprotein cholesterol; BMI, body mass index; FH of ECVD, family history of early cardiovascular disease; CVD, cardiovascular disease; PAD, peripheral arterial disease; HFH, heterozygous familial hypercholesterolemia; PFH, polygenic familial hypercholesterolemia; CFH, combined familial hypercholesterolemia, PCSK9i, protein convertase subtilisin kexin type 9 inhibitors. a423 missing data; sample size was 455 patients, of which 147 had elevated levels of Lp(a) and 308 had normal levels.

Univariate analysis revealed an association between elevated levels of Lp(a) and dyslipidemia and a lower probability of being an active smoker. With regard to other risk factors, including familial history of early cardiovascular disease, no statistically significant differences were observed. In relation to history of vascular diseases, elevated levels of Lp(a) were associated with a history of peripheral arterial disease. In contrast, no association was found with other cardiovascular events (Tables 1 and 2).

Table 2:

Univariate and multivariate analysis.

Variables Univariate analysis Multivariate analysis
Odds ratio p-Value Adjusted odds ratio p-Value
Age, years 0.167
Sex (female) 0.8 (0.6–1.0) 0.087
Vascular risk factors
 Dyslipemia 1.6 (1.1–2.3) 0.015a 1.2 (0.7–2.3) 0.486
 LDL-C, mg/dL 0.674
 Hypertension 0.9 (0.7–1.2) 0.413
 Diabetes 1.1 (0.8–1.5) 0.670
 Active smoking 0.7 (0.5–0.9) 0.019a 0.6 (0.3–1.0) 0.080
 BMI 0.100
 FH of ECVD 1.3 (0.8–2.0) 0.283 1.4 (0.9–2.3) 0.143
Previous cardiovascular disease
 Total CVD 1.0 (0.8–1.4) 0.998 0.3 (0.1–1.0) 0.063
 Ischemic heart disease 1.0 (0.8–1.3) 1.000 2.4 (0.7–9.0) 0.167
 Cerebrovascular disease 0.8 (0.2–1.3) 0.439
 Aortic stenosis 1.0 (0.3–2.4) 1.000 0.986
 PAD 1.9 (1.1–3.3) 0.027a 3.4 (1.2–10.4) 0.024a
Familial dyslipidemia
 HFH 2.0 (0.9–4.2) 0.119 0.9 (0.3–2.5) 0.814
 PFH 2.1 (1.3–3.2) 0.001b 1.9 (1.1–3.5) 0.030a
 CFH 2.8 (1.1–7.5) 0.046a 3.7 (1.3–11.1) 0.015a
Lipid-lowering treatments
 High-potency statins 1.3 (1.0–1.8) 0.076
 Low-potency statins 1.3 (0.9–1.8) 0.230
 Ezetimibe 1.9 (1.4–2.6) <0.001c 0.6 (0.2–1.7) 0.360
 PCSK9i 3.2 (1.8–5.9) <0.001c 5.0 (1.2–22.9) 0.029a
 Statins + ezetimibe 1.9 (1.4–2.6) <0.001c 4.4 (1.4–1.6) 0.018a
 Statins + PCSK9i 3.4 (1.5–8.0) 0.003b 1.2 (0.1–1.3) 0.884
 Statins + ezetimibe + PCSKa9i 6.1 (2.0–22.9) 0.001b 0.5 (0.0–5.8) 0.580
  1. LDL-C, low-density lipoprotein cholesterol; BMI, body mass index; FH of ECVD, family history of early cardiovascular disease; CVD, cardiovascular disease; PAD, peripheral arterial disease; HFH, heterozygous familial hypercholesterolemia; PFH, polygenic familial hypercholesterolemia; CFH, combined familial hypercholesterolemia, PCSK9i, protein convertase subtilisin kexin type 9 inhibitors. ap<0.05. bp<0.01. cp<0.001.

The percentage of patients with PFH and CHF was higher in the group of patients with elevated levels of Lp(a) (15.7 and 3.7 % respectively). However, the prevalence of HFH was similar in the two study populations.

Concerning the lipid-lowering treatments administered, the use of ezetimibe and iPCSK9 was significantly more frequent in the subgroup of patients with elevated levels of Lp(a): 47.8 vs. 32.3 % for ezetimibe, and 9.9 vs. 3.3 % for iPCSK9. Likewise, the combination of lipid-lowering drugs was significantly more frequent in the group of patients with elevated levels of Lp(a), being 43.4 vs. 28.5 % for the use of statins + ezetimibe; 5.5 vs. 1.7 % for statins + iPCSK9; and 4.0 vs. 0.7 % for statins + ezetimibe + iPCSK9 (Tables 1 and 2).

Finally, the variables with a p-value >0.05 on univariate analysis and considered to be clinically relevant in the literature (familial history of early cardiovascular disease, previous cardiovascular disease, ischemic heart disease, aortic stenosis, and HFH) were included in a multivariate logistic regression model. Analyses confirmed an independent relation of elevated levels of Lp(a) and peripheral arterial disease, diagnosis of PFH and CHF, and treatment with iPCSK9 and statins + ezetimibe (Table 2).

Discussion

Elevated levels of Lp(a) have been associated with a higher risk for vascular disease, early ischemic heart disease, and aortic stenosis [4, 5]. There are no specific treatments currently available for reducing Lp(a) concentrations. However, the clinical characterization of these patients may contribute to vascular risk reclassification. This would favor the optimization of therapeutic measures and targets aimed at reducing the occurrence of atherosclerotic cardiovascular complications [25].

In this study, an evaluation was performed of the clinical characteristics of 878 patients with elevated levels of Lp(a) attended in the vascular risk unit of a tertiary hospital of the Autonomous Community of Madrid. In our study, levels of Lp(a)≥50 mg/dL were associated with a history of dyslipidemia and a lower prevalence of active smoking. In contrast, there were no statistically significant differences in relation to familial history of early cardiovascular disease. This finding contradicts the results of the study by Quyyumi et al. [26], who observed a joint association between familial history of cardiovascular disease along with elevated levels of Lp(a), and long-term cardiovascular risk.

In the present study, elevated levels of Lp(a) were associated with a history of peripheral artery disease. Notably, there were no differences in the prevalence of other previous cardiovascular diseases. This lack of significance may be due to the fact that our patients were attended in a specific vascular risk consultation, which may have resulted in a selection bias that may have influenced results. Indeed, more than half of our patients were on secondary prevention (patients with a previous event: stroke, ischemic heart disease or peripheral artery disease).

In addition, a diagnosis of PFH/CHF was associated with higher levels of Lp(a). Thus, the number of patients with PFH/CHF was four times higher in patients with elevated Lp(a), as compared to patients with normal Lp(a) levels. Although no statistically significant differences were observed in relation to HFH, it could be assumed that the finding of elevated Lp(a) is associated with a diagnosis of familial hyperlipemias, as reported in the literature [27].

The presence of elevated levels of Lp(a) is not associated with a more frequent prescription of high-potency statins. However, a high percentage of the study patients were treated with these drugs in the two groups (>50 %). Of note, the use of a more intensive lipid-lowering therapy was more frequent in patients with elevated Lp(a) (higher combined use of ezetimibe + statins + PCSK9i). This finding suggests that, in compliance with European Society of Cardiology (ESC) guidelines, and due to the high cardiovascular risk of these patients, clinicians aim to reach a lower LCDc target. Hence, the high vascular risk of these patients [28] and the absence of specific therapies available for reducing Lp(a) lead clinicians establish more strict therapeutic targets. The most recent clinical trials demonstrate that PCSK9i are effective in reducing LDL-C and Lp(a) [29, 30], with reported 55 and 25 % reductions, respectively [31, 32]. The clinical benefit of reducing LDL-C and Lp(a) has not yet been demonstrated. However, tendencies seen to suggest its efficacy in reducing major cardiovascular events [33].

Our study has some limitations. The retrospective design of the study limits access to some variables, such as familial history of early cardiovascular disease, with 423 missing data. This may explain our failure to find significant differences in this variable between study groups. Due to the observational nature of the study, relations of causality could not be established, only associative hypotheses. The results obtained do not define specific clinical characteristics that help identify patients with elevated levels of Lp(a) among patients attended due to their high vascular risk. However, the large size and heterogeneity of the sample enabled us to meet the goal of the study.

In conclusion, in a sample of patients attended due to their high vascular risk in a tertiary hospital, elevated levels of Lp(a) were associated with a diagnosis of peripheral arterial disease, PFH and CHF, and with the use of more intensive lipid-lowering treatments.


Corresponding author: Javier Rubio-Serrano, Servicio de Medicina Interna, La Princesa Biomedical Research Foundation, La Princesa Research Institute, Hospital Universitario de La Princesa, Diego de León 62. 28006 Madrid, Spain, Phone: +34 915 202 222, E-mail:

  1. Research ethics: This human research study complies with all national regulations, institutional policies and principles of the Declaration of Helsinki, having been approved by the corresponding Clinical Research Ethics Committee of the La Princesa University Hospital.

  2. Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: None declared.

  6. Data availability: The raw data can be obtained on request from the corresponding author.

  7. Article Note: The original article can be found here: https://doi.org/10.1515/almed-2023-0090.

References

1. Schmidt, K, Noureen, A, Kronenberg, F, Utermann, G. Structure, function, and genetics of lipoprotein(a). J Lipid Res 2016;57:1339–59. https://doi.org/10.1194/jlr.r067314.Search in Google Scholar PubMed PubMed Central

2. Tsimikas, S, Moriarty, PM, Stroes, ES. Emerging RNA therapeutics to lower blood levels of Lp(a). J Am Coll Cardiol 2021;77:1576–89. https://doi.org/10.1016/j.jacc.2021.01.051.Search in Google Scholar PubMed

3. Gencer, B, Kronenberg, F, Stroes, ES, Mach, F. Lipoprotein(a): the revenant. Eur Heart J 2017;38:1553–60. https://doi.org/10.1093/eurheartj/ehx033.Search in Google Scholar PubMed

4. Enkhmaa, B, Anuurad, E, Berglund, L. Lipoprotein (a): impact by ethnicity and environmental and medical conditions. J Lipid Res 2016;57:1111–25. https://doi.org/10.1194/jlr.r051904.Search in Google Scholar

5. Reyes-Soffer, G, Ginsberg, HN, Berglund, L, Duell, PB, Heffron, SP, Kamstrup, PR, et al.. Lipoprotein(a): a genetically determined, causal, and prevalent risk factor for atherosclerotic cardiovascular disease: a scientific statement from the American heart association. Arterioscler Thromb Vasc Biol 2022;42. https://doi.org/10.1161/atv.0000000000000147.Search in Google Scholar PubMed PubMed Central

6. Kronenberg, F. Lipoprotein(a). Prev Treat Atherosclerosis 2021;270:201–32. https://doi.org/10.1007/164_2021_504.Search in Google Scholar PubMed

7. Harpel, PC, Hermann, A, Zhang, X, Ostfeld, I, Borth, W. Lipoprotein(a), plasmin modulation, and atherogenesis. Thromb Haemostasis 1995;74:382–6. https://doi.org/10.1055/s-0038-1642707.Search in Google Scholar

8. Puri, R, Ballantyne, CM, Hoogeveen, RC, Shao, M, Barter, PJ, Libby, P, et al.. Lipoprotein(a) and coronary atheroma progression rates during long-term high-intensity statin therapy: insights from SATURN. Atherosclerosis 2017;263:137–44. https://doi.org/10.1016/j.atherosclerosis.2017.06.026.Search in Google Scholar PubMed

9. Nakamura, H, Kataoka, Y, Nicholls, SJ, Puri, R, Kitahara, S, Murai, K, et al.. Elevated Lipoprotein(a) as a potential residual risk factor associated with lipid-rich coronary atheroma in patients with type 2 diabetes and coronary artery disease on statin treatment: insights from the REASSURE-NIRS registry. Atherosclerosis 2022;349:183–9. https://doi.org/10.1016/j.atherosclerosis.2022.03.033.Search in Google Scholar PubMed

10. Loscalzo, J, Weinfeld, M, Fless, GM, Scanu, AM. Lipoprotein(a), fibrin binding, and plasminogen activation. Arteriosclerosis 1990;10:240–5. https://doi.org/10.1161/01.atv.10.2.240.Search in Google Scholar PubMed

11. Nordestgaard, BG, Chapman, MJ, Ray, K, Borén, J, Andreotti, F, Watts, GF, et al.. Lipoprotein(a) as a cardiovascular risk factor: current status. Eur Heart J 2010;31:2844–53. https://doi.org/10.1093/eurheartj/ehq386.Search in Google Scholar PubMed PubMed Central

12. Trinder, M, DeCastro, ML, Azizi, H, Cermakova, L, Jackson, LA, Frohlich, J, et al.. Ascertainment bias in the association between elevated lipoprotein(a) and familial hypercholesterolemia. J Am Coll Cardiol 2020;75:2682–93. https://doi.org/10.1016/j.jacc.2020.03.065.Search in Google Scholar PubMed

13. Palacios, L, Grandoso, L, Cuevas, N, Olano-Martin, E, Martinez, AL, Tejedor, D, et al.. Molecular characterization of familial hypercholesterolemia in Spain. Atherosclerosis 2012;221:137–42. https://doi.org/10.1016/j.atherosclerosis.2011.12.021.Search in Google Scholar PubMed

14. Berberich, AJ, Hegele, RA. The complex molecular genetics of familial hypercholesterolaemia. Nat Rev Cardiol 2018;16:9–20. https://doi.org/10.1038/s41569-018-0052-6.Search in Google Scholar PubMed

15. Melendez, QM, Krishnaji, ST, Wooten, CJ, Lopez, D. Hypercholesterolemia: the role of PCSK9. Arch Biochem Biophys 2017;625–6:39–53. https://doi.org/10.1016/j.abb.2017.06.001.Search in Google Scholar PubMed

16. Andersen, LB, Miserez, AR, Ahmad, Z, Andersen, RA. Familial defective apolipoprotein B-100: a review. J Clin Lipidol 2016;10:1297–302. https://doi.org/10.1016/j.jacl.2016.09.009.Search in Google Scholar PubMed

17. Kamstrup, PR. Lipoprotein(a) and cardiovascular disease. Clin Chem 2020;67:154–66. https://doi.org/10.1093/clinchem/hvaa247.Search in Google Scholar PubMed

18. Velilla, TA, Guijarro, C, Ruiz, RC, Piñero, MR, Marcos, JFV, Pérez, AP, et al.. Documento de consenso para la determinación e informe del perfil lipídico en laboratorios clínicos españoles. Clín Invest Arterioscler 2023;35:91–100. https://doi.org/10.1016/j.arteri.2022.10.002.Search in Google Scholar PubMed

19. Bea, AM, Mateo-Gallego, R, Jarauta, E, Villa-Pobo, R, Calmarza, P, Lamiquiz-Moneo, et al.. La lipoproteína(a) se asocia a la presencia de arteriosclerosis en pacientes con hipercolesterolemia primaria. Clín Invest Arterioscler 2014;26:176–83. https://doi.org/10.1016/j.arteri.2014.01.001.Search in Google Scholar PubMed

20. Séguro, F, Bérard, E, Bongard, V, Ruidavets, J, Taraszkiewicz, D, Galinier, M, et al.. Real life validation of the European Atherosclerosis Society Consensus Panel lipoprotein(a) threshold of 50mg/dL. Int J Cardiol 2016;221:537–8. https://doi.org/10.1016/j.ijcard.2016.07.018.Search in Google Scholar PubMed

21. Rhainds, D, Brodeur, MR, Tardif, JC. Lipoprotein (a): when to measure and how to treat? Curr Atherosclerosis Rep 2021;23:51. https://doi.org/10.1007/s11883-021-00951-2.Search in Google Scholar PubMed

22. R Core Team. R. A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2022. https://www.R-project.org/.Search in Google Scholar

23. Mach, F, Baigent, C, Catapano, AL, Koskinas, KC, Casula, M, Badimon, L, et al.. 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J 2019;41:111–88. https://doi.org/10.1093/eurheartj/ehz455.Search in Google Scholar PubMed

24. Roth, CL, Krychtiuk, KA, Gangl, C, Schrutka, L, Distelmaier, K, Wojta, J, et al.. Lipoprotein(a) plasma levels are not associated with survival after acute coronary syndromes: an observational cohort study. PLOS ONE 2020;15:e0227054. https://doi.org/10.1371/journal.pone.0227054.Search in Google Scholar PubMed PubMed Central

25. Hoogeveen, RC, Ballantyne, CM. Residual cardiovascular risk at low LDL: remnants, lipoprotein(a), and inflammation. Clin Chem 2020;67:143–53. https://doi.org/10.1093/clinchem/hvaa252.Search in Google Scholar PubMed PubMed Central

26. Quyyumi, AA, Virani, SS, Ayers, C, Sun, W, Hoogeveen, RC, Rohatgi, A, et al.. Lipoprotein(a) and family history predict cardiovascular disease risk. J Am Coll Cardiol 2020;76:781–93. https://doi.org/10.1016/j.jacc.2020.06.040.Search in Google Scholar PubMed

27. de Boer, LM, Hutten, BA, Zwinderman, AH, Wiegman, A. Lipoprotein(a) levels in children with suspected familial hypercholesterolaemia: a cross-sectional study. Eur Heart J 2023;44:679. https://doi.org/10.1093/eurheartj/ehac788.Search in Google Scholar PubMed PubMed Central

28. Visseren, FL, Mach, F, Smulders, YM, Carballo, D, Koskinas, KC, Bäck, M, et al.. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J 2021;42:3227–337, https://doi.org/10.1093/eurheartj/ehab484.Search in Google Scholar PubMed

29. Patel, RR, Scopelliti, EM, Olugbile, O. The role of PCSK9 inhibitors in the treatment of hypercholesterolemia. Ann Pharmacother 2018;52:1000–18. https://doi.org/10.1177/1060028018771670.Search in Google Scholar PubMed

30. Pasta, A, Cremonini, AL, Pisciotta, L, Buscaglia, A, Porto, I, Barra, F, et al.. PCSK9 inhibitors for treating hypercholesterolemia. Expert Opin Pharmacother 2020;21:353–63. https://doi.org/10.1080/14656566.2019.1702970.Search in Google Scholar PubMed

31. Zhang, X, Zhu, Q, Zhu, L, Chen, J, Chen, Q, Li, G, et al.. Safety and efficacy of anti-PCSK9 antibodies: a meta-analysis of 25 randomized, controlled trials. BMC Med 2015;13. https://doi.org/10.1186/s12916-015-0358-8.Search in Google Scholar PubMed PubMed Central

32. Navarese, EP, Kołodziejczak, M, Schulze, V, Gurbel, PA, Tantry, U, Lin, Y, et al.. Effects of proprotein convertase subtilisin/kexin type 9 antibodies in adults with hypercholesterolemia. Ann Intern Med 2015;163:40–51. https://doi.org/10.7326/m14-2957.Search in Google Scholar

33. Tsimikas, S, Karwatowska-Prokopczuk, E, Gouni-Berthold, I, Tardif, J, Baum, SJ, Steinhagen-Thiessen, et al.. Lipoprotein(a) reduction in persons with cardiovascular disease. New Engl J Med 2020;382:244–55. https://doi.org/10.1056/nejmoa1905239.Search in Google Scholar

Received: 2023-07-25
Accepted: 2023-10-01
Published Online: 2023-12-01

© 2023 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Novelties in the ISO 15189:2023 standard
  4. Novedades de la norma ISO 15189:2023
  5. Review / Artículo de Revisión
  6. Influence of pharmacogenetics on the diversity of response to statins associated with adverse drug reactions
  7. Influencia de la farmacogenética en la diversidad de respuesta a las estatinas asociada a las reacciones adversas
  8. Original Article / Artículo Original
  9. Optimization of a rapid method for screening drugs in blood by liquid chromatography tandem mass spectrometry
  10. Optimización de un método de cribado rápido de fármacos en sangre mediante la técnica de cromatografía de líquidos acoplada a espectrometría de masas
  11. Compliance to specifications in an external quality assurance program: did new biological variation estimates of the European Federation of Laboratory Medicine (EFLM) affect the quality of laboratory results?
  12. Cumplimiento de las especificaciones en un programa de garantía externa de la calidad. ¿Han tenido impacto los nuevos estimados de variación biológica de la European Federation of Laboratory Medicine (EFLM) en la calidad de los resultados del laboratorio?
  13. Clinical characteristics associated with elevated levels of lipoprotein(a) in patients with vascular risk
  14. Características clínicas asociadas a niveles elevados de lipoproteína(a) en pacientes atendidos por riesgo vascular
  15. Association between serum 25-hydroxyvitamin D and prostate-specific antigen: a retrospective study in men without prostate pathology
  16. Asociación entre la 25-hidroxivitamina D y el antígeno prostático específico: un estudio retrospectivo en hombres sin patologías prostáticas
  17. Evaluation of DiaSorin Liaison® calprotectin fecal assay adapted for pleural effusion
  18. Evaluación de la prueba fecal Liaison® Calprotectin de DiaSorin adaptada al derrame pleural
  19. Short Communication / Comunicación Breve
  20. Urine dipstick for screening plasma glucose and bilirubin in low resource settings: a proof-of-concept study
  21. Uso de una tira reactiva paraorina en la evaluación de las concentraciones de glucosa y bilirrubina en plasma en entornos con recursos limitados: un estudio de prueba de concepto
Downloaded on 30.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/almed-2023-0150/html
Scroll to top button