Vol 31, No 1 (2024)
Original Article
Published online: 2023-10-16

open access

Page views 1236
Article views/downloads 569
Get Citation

Connect on Social Media

Connect on Social Media

clinicAL CARDIOLOGY

Original Article

Cardiology Journal

2024, Vol. 31, No. 1, 32–44

DOI: 10.5603/cj.93062

Copyright © 2024 Via Medica

ISSN 1897–5593

eISSN 1898–018X

Prolonged dual antiplatelet therapy in invasively treated acute coronary syndrome patients with different lipoprotein(a) concentrations

Kongyong Cui*123Shaoyu Wu*123Dong Yin123Weihua Song123Hongjian Wang123Chenggang Zhu123Lei Feng123Yuejin Yang123Rui Fu123#Kefei Dou123#
1Department of Cardiology, Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
2State Key Laboratory of Cardiovascular Disease, Beijing, China
3National Clinical Research Center for Cardiovascular Diseases, Beijing, China

Address for correspondence: Rui Fu, MD and Kefei Dou, MD, Department of Cardiology, Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China, fax: +86-10-6831-3012, tel: +86-10-8832-2562 and +86-10-8839-6590, e-mail: fwfurui@163.com and drdoukefei@126.com

Received: 5.12.2023 Accepted: 27.07.2023 Early publication date: 16.10.2023

*Drs. Kongyong Cui and Shaoyu Wu contributed equally to this article and shared the first author.

#Drs. Rui Fu and Kefei Dou contributed equally to this article.

This article is available in open access under Creative Common Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0) license, allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially.

Abstract

Background: Lipoprotein(a) [Lp(a)] was positively associated with recurrent ischemic events in patients with acute coronary syndrome (ACS). This study was performed to investigate the effect of Lp(a) levels on outcomes of dual antiplatelet therapy (DAPT) > 1 year versus DAPT ≤ 1 year after percutaneous coronary intervention (PCI) in this population.

Methods: A total of 4,357 ACS patients who were event-free at 1 year after PCI were selected from the Fuwai PCI Registry, and patients were stratified into four groups according to DAPT duration (≤ 1 year vs. > 1 year) and Lp(a) levels (≤ 30 mg/dL vs. > 30 mg/dL). The primary endpoint was major adverse cardiovascular and cerebrovascular event (MACCE), defined as a composite of cardiac death, myocardial infarction or stroke.

Results: After 2.4-year follow-up, the incidence of MACCE (hazard ratio [HR]adjusted 0.284, 95% confidence interval [CI] 0.115–0.700; HRIPTW 0.351, 95% CI 0.164–0.751) were significantly reduced in DAPT > 1 year group than that in DAPT ≤ 1 year group in individuals with elevated Lp(a) levels. However, in individuals with normal Lp(a) levels, no statistically difference was found between these two groups in terms of MACCE, although the risks of all-cause death and definite/probable stent thrombosis were lower in DAPT > 1 year group. Notably, the risk of clinically relevant bleeding did not statistically differ between these two groups in individuals with different Lp(a) levels.

Conclusions: This study firstly demonstrated that extended DAPT (> 1 year) was statistically associated with lower risk of ischemic events in ACS patients with elevated Lp(a) levels after PCI, whereas this association was not found in individuals with normal Lp(a) levels. (Cardiol J 2024; 31, 1: 32–44)

Keywords: lipoprotein(a), acute coronary syndrome, percutaneous coronary intervention, drug-eluting stent, dual antiplatelet therapy, prognosis

Introduction

Lipoprotein(a) [Lp(a)] is an atherogenic low-density lipoprotein (LDL) subspecies, consisting of an LDL-like particle which apolipoprotein B100 is covalently linked to apolipoprotein(a) [apo(a)] [1, 2]. Over the last 10 years, genetic and epidemiologic evidence supported that high Lp(a) level was a risk factor for cardiovascular disease [3–6]. Moreover, previous studies, including the present authors, revealed that Lp(a) was positively associated with recurrent cardiovascular events in patients with acute coronary syndrome (ACS) who underwent percutaneous coronary intervention (PCI) [7–10]. However, there are no approved pharmacologic therapies that are specifically aimed at lowering Lp(a) levels. Actually, Lp(a) may result in a prothrombotic state due to the high degree of homology between apo(a) and plasminogen [2]. The ASPREE trial including 12,815 individuals showed that acetylsalicylic acid (ASA) may benefit older individuals with elevated Lp(a) genotypes in primary prevention [11]. In addition, similar results were obtained in the Women’s Health Study [12]. Dual antiplatelet therapy (DAPT) with ASA plus a P2Y12 inhibitor is prescribed for the prevention of thrombotic complications for patients with ACS after PCI. Current guidelines on DAPT from the United States and Europe recommend DAPT for ≥ 12 months after PCI in ACS patients who have tolerated DAPT without a bleeding complication and who are not at high-risk of bleeding [13]. Given the pathophysiological effect of apo(a), was speculated herein, that the extended duration of DAPT after PCI may reduce the risk of ischemic events for ACS patients who had elevated Lp(a) levels. Therefore, this study was performed to evaluate the impact of Lp(a) levels on clinical outcomes of extended DAPT (> 1 year) versus shortened DAPT (≤ 1 year) in ACS patients who underwent PCI with drug-eluting stent (DES).

Methods

Study design and population

This was a secondary analysis of a single-center, prospective registry and details on the study design have been published elsewhere [7, 14–16]. Briefly, 10,724 patients with coronary artery disease (CAD) who underwent PCI were consecutively enrolled between January 2013 and December 2013 from FuWai Hospital, National Center for Cardiovascular Diseases. The study was performed according to the principles of the Declaration of Helsinki and the study protocol had been approved by the ethical committee of Fuwai Hospital, National Center for Cardiovascular Diseases. All the participants provided written informed consent before enrollment. In addition, patient records were anonymized and de-identified before database merging and analysis.

In this paper, 3,607 patients with stable CAD, 28 patients who did not receive DAPT, 369 patients who did not use DES, and 848 patients who experienced major adverse events (death, myocardial infarction [MI], stent thrombosis [ST], stroke, repeat revascularization, or Bleeding Academic Research Consortium [BARC] type 2, 3 or 5 bleeding) within 1 year follow-up were excluded. In addition, 1,515 patients were excluded due to the reasons listed in Figure 1. For the final analysis, 4,357 ACS patients who were event-free at 1 year after PCI were evaluated.

Study procedures and biochemical analysis

After an overnight fasting before PCI, laboratory samples were obtained from each participant and all tests were performed through clinical chemistry department of the present center. Concentrations of Lp(a), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and total cholesterol were analyzed with the automated biochemical analyzer (Hitachi 7150, Tokyo, Japan), while hemoglobin A1c was measured with the Tosoh Automated Glycohemoglobin Analyser (HLC-723G8; Tosoh Corporation, Tokyo, Japan). Measurements were Lp(a) by the immunoturbidimetry method [LASAY Lp(a) auto; SHIMA Laboratories Co., Ltd, Tokyo, Japan] with a normal cutoff value of < 30 mg/dL. An Lp(a) protein validated standard was used to calibrate the examination, and the coefficient of variation for repetitive measurements was < 10% [17].

During hospitalization, all procedures and medical therapies were performed in compliance with contemporary guideline recommendations and the cardiologist’s discretion. Demographics, cardiovascular risk factors, clinical parameters, laboratory results, angiographic and procedural details, and medications were prospectively recorded in our dedicated PCI registry by independent research personnel. Definitions of diabetes, hypertension, dyslipidemia and other variables were in compliance with previous studies [7, 15, 16].

Based on DAPT duration, patients were divided into DAPT > 1 year group and DAPT ≤ 1 year group. Notably, previous meta-analyses and current Chinese guidelines for the management of dyslipidemia in adults suggested that Lp(a) concentrations > 30 mg/dL were associated with a progressive increase in the incidence of cardiovascular events [1, 4, 18, 19]. In this paper, a threshold value of 30 mg/dL was used to assign abnormal Lp(a) levels. Then, patients were stratified into four groups according to the DAPT duration (≤ 1 year vs. > 1 year) and Lp(a) levels (≤ 30 mg/dL vs. > 30 mg/dL).

Follow-up and endpoints

After PCI, patients were followed up at 6-month intervals until January, 2016. Data for endpoints were collected from medical records, clinical visits, and/or telephone interviews by trained investigators who were blind to the clinical data. Of note, adherence to antiplatelet medication was routinely assessed at each time of follow-up, and the status of antiplatelet therapy was collected by dedicated questionnaires and the electronic prescribing system at the present center. The primary endpoint was major adverse cardiovascular and cerebrovascular event (MACCE), defined as a composite of cardiac death, nonfatal MI or stroke. The individual components of the primary endpoint, all-cause death, definite or probable ST, and BARC type 2, 3 or 5 bleeding were secondary endpoints. All deaths were considered to be cardiac-related unless a non-cardiac origin was documented. MI was defined based on the Third Universal Definition of MI [20]. Stroke was defined as new focal neurological deficit lasting > 24 hours and confirmed by imaging evidence. Definite or probable ST was adjudicated based on the Academic Research Consortium criteria [21]. In addition, bleeding events were categorized based on the BARC classifications [22]. All events must be validated by source documents.

Statistical analysis

Continuous variables were expressed as mean ± standard deviation and differences in various characteristics were compared using the Student’s t-test or Wilcoxon’s rank sum test, when appropriate. Categorical variables were expressed as frequencies (percentages) and compared using Pearson’s chi-square test or the Fisher exact test, when appropriate. Cumulative incidence of clinical outcomes was estimated using Kaplan-Meier curves, and differences were evaluated with the log-rank test. Univariable and multivariable Cox regression analyses were performed to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). In addition, an inverse probability of treatment weighting (IPTW) analysis was also conducted to adjust for differences in baseline characteristics between DAPT ≤ 1 year and DAPT > 1 year groups in overall population, individuals with normal Lp(a) levels, and individuals with elevated Lp(a) levels, respectively. A propensity score was developed using a non-parsimonious multivariable logistic regression model and considering DAPT time (DAPT > 1 year vs. DAPT ≤ 1 year) as the dependent variable. Covariates used for the propensity score model and multivariable Cox regression model were age, gender, body mass index, current smoking, diabetes, hypertension, dyslipidemia, previous MI, previous stroke, peripheral vascular disease, left ventricular ejection fraction < 50%, LDL-C, HDL-C, radial artery access, multivessel disease, severe calcification, total lesion length, minimum stent diameter, total stent length, and use of statin at discharge. All statistical analyses were conducted using SPSS version 23.0 (SPSS Inc., Chicago, IL, USA) and R version 3.6.0 (R Foundation for Statistical Computing, Vienna, Austria). A two-sided p value of < 0.05 was considered to indicate statistical significance.

Results

Of the eligible participants, 1,368 received DAPT ≤ 1 year and 2,989 received DAPT > 1 year, while 2,954 had normal Lp(a) levels and 1,403 had elevated Lp(a) levels (Fig. 1). Overall, patients who received DAPT > 1 year were more likely to have a history of dyslipidemia, multivessel disease, severe calcification, and smaller minimum stent diameter during PCI than those who received DAPT ≤ 1 year. Furthermore, at any time-point of follow-up, the use of ASA and P2Y12 receptor inhibitor was significantly more frequent in DAPT > 1 year group than that in DAPT ≤ 1 year group (Suppl. Table S1). As shown in Table 1, baseline patient, angiographic and procedural characteristics were mostly similar between DAPT ≤ 1 year and DAPT > 1 year groups in both patients with normal Lp(a) levels and elevated Lp(a) levels. Similar to the overall ACS population, patients in DAPT > 1 year group were more likely to receive ASA and P2Y12 receptor inhibitor than those in DAPT ≤ 1 year group in both patients with normal Lp(a) levels and elevated Lp(a) levels at any time-point of follow-up. The median follow-up period was 877 (807–942) days.

Figure 1. Flow chart of the study; ACS acute coronary syndrome; CAD coronary artery disease; DAPT dual antiplatelet therapy; DES drug-eluting stent; PCI percutaneous coronary intervention.
Table 1. Baseline patient, angiographic and procedural characteristics according to lipoprotein(a) [Lp(a)] levels and dual antiplatelet therapy (DAPT) duration.

Variable

Lp(a) ≤ 30 mg/dL (n = 2954)

Lp(a) > 30 mg/dL (n = 1403)

DAPT ≤ 1-year

(n = 931)

DAPT > 1-year

(n = 2023)

P

DAPT ≤ 1-year

(n = 437)

DAPT > 1-year

(n = 966)

P

Age [years]

58 (50–65)

58 (50–65)

0.775

58 (50–65)

58 (50–64)

0.779

Male

755 (81.1%)

1674 (82.7%)

0.275

352 (80.5%)

750 (77.6%)

0.219

Body mass index [kg/m2]

26.0 (23.9–27.8)

26.0 (24.0–28.0)

0.484

25.5 (23.5–27.7)

25.5 (23.7–27.7)

0.490

Current smoker

557 (59.8%)

1275 (63.0%)

0.096

275 (62.9%)

557 (57.7%)

0.063

Diabetes mellitus

376 (40.4%)

833 (41.2%)

0.685

177 (40.5%)

361 (37.4%)

0.264

Hypertension

583 (62.6%)

1240 (61.3%)

0.491

273 (62.5%)

622 (64.4%)

0.489

Dyslipidemia

605 (65.0%)

1334 (65.9%)

0.611

265 (60.6%)

664 (68.7%)

0.003

Previous myocardial infarction

116 (12.5%)

283 (14.0%)

0.259

59 (13.5%)

121 (12.5%)

0.613

Previous PCI

169 (18.2%)

395 (19.5%)

0.378

92 (21.1%)

204 (21.1%)

0.978

Previous CABG

31 (3.3%)

69 (3.4%)

0.910

20 (4.6%)

40 (4.1%)

0.709

Previous stroke

77 (8.3%)

197 (9.7%)

0.202

49 (11.2%)

94 (9.7%)

0.396

Peripheral vascular disease

14 (1.5%)

50 (2.5%)

0.093

7 (1.6%)

21 (2.2%)

0.478

Chronic kidney disease

85 (9.1%)

214 (10.6%)

0.226

35 (8.0%)

95 (9.8%)

0.275

COPD

23 (2.5%)

48 (2.4%)

0.872

15 (3.4%)

19 (2.0%)

0.098

LVEF [%]

64 (60–68)

64 (60–68)

0.551

64 (60–68)

64 (60–68)

0.652

LVEF < 50%

40 (4.4%)

79 (4.0%)

0.590

17 (4.0%)

34 (3.7%)

0.763

Systolic blood pressure [mmHg]

125 (120–140)

125 (120–138)

0.812

120 (115–137)

120 (115–140)

0.466

Laboratory data:

WBC [103/µL]

6.51 (5.55–7.79)

6.55 (5.51–7.79)

0.968

6.46 (5.51–7.66)

6.64 (5.61–7.94)

0.167

Hemoglobin [g/L]

145 (135–155)

146 (136–155)

0.410

145 (135–156)

145 (135–154)

0.772

TC [mmol/L]

3.94 (3.38–4.71)

3.96 (3.36–4.69)

0.772

4.14 (3.55–4.89)

4.22 (3.60–4.97)

0.171

LDL-C [mmol/L]

2.26 (1.79–2.89)

2.27 (1.79–2.88)

0.842

2.47 (1.98–3.09)

2.53(2.00–3.20)

0.315

HDL-C [mmol/L]

0.99 (0.85–1.16)

0.96 (0.81–1.15)

0.016

1.02 (0.86–1.17)

1.01 (0.86–1.23)

0.729

HbA1c [%]

6.2 (5.8–6.8)

6.2 (5.8–6.9)

0.670

6.1 (5.7–6.8)

6.2 (5.8–6.9)

0.252

Lp(a) [mg/dL]

10.1 (4.9–17.9)

10.5 (5.2–17.7)

0.400

54.0 (39.1–81.5)

53.8 (39.5–81.2)

0.654

Radial artery access

883 (94.8%)

1871 (92.5%)

0.018

411 (94.1%)

893 (92.4%)

0.276

Multivessel disease

639 (68.6%)

1450 (71.7%)

0.092

315 (72.1%)

721 (74.6%)

0.313

SYNTAX score

9 (6–15)

9 (5–15)

0.643

10 (7–17)

10 (6–16)

0.203

SYNTAX score > 22

75 (8.2%)

168 (8.5%)

0.803

45 (10.7%)

90 (9.6%)

0.549

Total lesion length [mm]

28 (18–47)

30 (18–48)

0.282

30 (20–50)

32 (20–48)

0.962

Target lesion morphology:

Bifurcation lesion

186 (20.0%)

371 (18.3%)

0.290

87 (19.9%)

187 (19.4%)

0.810

2-stent technique

39 (4.2%)

83 (4.1%)

0.913

18 (4.1%)

41 (4.2%)

0.914

Chronic total occlusion

134 (14.4%)

314 (15.5%)

0.427

73 (16.7%)

165 (17.1%)

0.862

In-stent restenosis

36 (3.9%)

90 (4.4%)

0.467

19 (4.3%)

42 (4.3%)

1.000

Severe calcification

16 (1.7%)

60 (3.0%)

0.047

7 (1.6%)

32 (3.3%)

0.071

Angulation > 45 degrees

104 (11.2%)

193 (9.5%)

0.171

47 (10.8%)

96 (9.9%)

0.639

Type B2 or C lesion

691 (74.2%)

1484 (73.4%)

0.620

341 (78.0%)

736 (76.2%)

0.449

No. vessels treated

1 (1–1)

1 (1–1)

0.161

1 (1–2)

1 (1–2)

0.780

No. lesions treated

1 (1–2)

1 (1–2)

0.421

1 (1–2)

1 (1–2)

0.944

No. lesions treated ≥ 3

58 (6.2%)

131 (6.5%)

0.800

27 (6.2%)

60 (6.2%)

0.981

Drug-eluting stent number

2 (1–2)

2 (1–2)

0.116

2 (1–2)

2 (1–2)

0.432

Drug-eluting stent number ≥ 3

184 (19.8%)

415 (20.5%)

0.637

92 (21.1%)

203 (21.0%)

0.987

Use of EES/ZES

513 (55.1%)

1153 (57.0%)

0.335

250 (57.2%)

534 (55.3%)

0.500

Minimum stent diameter [mm]

3.00 (2.50–3.50)

3.00 (2.50–3.50)

0.193

3.00 (2.50–3.50)

2.75 (2.50–3.00)

0.075

Total stent length [mm]

33 (23–51)

33 (21–52)

0.444

34 (23–54)

36 (23–52)

0.923

DAPT score

2 (1–3)

2 (1–3)

0.057

2 (1–3)

2 (1–3)

0.205

DAPT score ≥ 2

511 (54.9%)

1187 (58.7%)

0.053

262 (60.0%)

562 (58.2%)

0.531

Medications at discharge:

ASA

931 (100%)

2023 (100%)

NA

437 (100%)

966 (100%)

NA

P2Y12 receptor inhibitor

931 (100%)

2023 (100%)

NA

437 (100%)

966 (100%)

NA

Oral anticoagulant

4 (0.6%)

3 (0.2%)

0.241

0 (0%)

1 (0.2%)

1.000

Beta-blockers

811 (87.1%)

1780 (88.0%)

0.500

394 (90.2%)

864 (89.4%)

0.682

Statins

889 (95.5%)

1948 (96.3%)

0.298

423 (96.8%)

925 (95.8%)

0.352

Calcium channel blockers

459 (49.3%)

1029 (50.9%)

0.430

229 (52.4%)

510 (52.8%)

0.892

Antiplatelet drugs at 6 months:

N = 931

N = 2023

N = 437

N = 966

ASA

919 (98.7%)

2023 (100%)

< 0.001

432 (98.9%)

966 (100%)

0.003

P2Y12 receptor inhibitor

915 (98.3%)

2023 (100%)

< 0.001

432 (98.9%)

966 (100%)

0.003

Antiplatelet drugs at 12 months:

N = 931

N = 2023

N = 437

N = 966

ASA

887 (95.3%)

2023 (100%)

< 0.001

423 (96.8%)

966 (100%)

< 0.001

P2Y12 receptor inhibitor

854 (91.7%)

2023 (100%)

< 0.001

398 (91.1%)

966 (100%)

< 0.001

Antiplatelet drugs at 18 months:

N = 931

N = 2023

N = 437

N = 965

ASA

846 (90.9%)

2015 (99.6%)

< 0.001

408 (93.4%)

959 (99.4%)

< 0.001

P2Y12 receptor inhibitor

23 (2.5%)

1829 (90.4%)

< 0.001

15 (3.4%)

861 (89.2%)

< 0.001

Antiplatelet drugs at 24 months:

N = 930

N = 2014

N = 437

N = 962

ASA

841 (90.4%)

1973 (98.0%)

< 0.001

407 (93.1%)

943 (98.0%)

< 0.001

P2Y12 receptor inhibitor

19 (2.0%)

840 (41.7%)

< 0.001

13 (3.0%)

408 (42.4%)

< 0.001

Antiplatelet drugs at 30 months:

N = 239

N = 779

N = 104

N = 367

ASA

206 (86.2%)

763 (97.9%)

0.003

89 (85.6%)

361 (98.4%)

< 0.001

P2Y12 receptor inhibitor

5 (2.1%)

230 (29.5%)

< 0.001

4 (3.8%)

104 (28.3%)

< 0.001

DAPT time [days]

349 ± 62

661 ± 164

< 0.001

348 ± 60

661 ± 163

< 0.001

365 (365, 365)

548 (548, 802)

365 (365, 365)

548 (548, 790)

DAPT duration and clinical outcomes

Compared with patients who received DAPT ≤ 1 year, those who received DAPT > 1 year presented lower risks of MACCE, all-cause death, cardiac death, and definite/probable ST (Fig. 2; Suppl. Table S2). In Figure 3, all the candidate variables were well balanced between the DAPT ≤ 1 year group and DAPT > 1 year group after IPTW analysis. The risks of MACCE, all-cause death, cardiac death, and definite/probable ST were also significantly lower in extended DAPT group than that in shortened DAPT group. Notably, no significant difference was found between the two groups in terms of clinically relevant bleeding (Suppl. Table S2).

Figure 2. Kaplan–Meier curves for 2.4-year clinical outcomes according to dual antiplatelet therapy (DAPT) duration in overall population; A. Cardiac death/MI/stroke; B. All-cause death; C. MI; D. Stroke; E. Definite/probable ST; F. BARC type 2, 3 or 5 bleeding; BARC Bleeding Academic Research Consortium; MI myocardial infarction; ST stent thrombosis.
Figure 3. Absolute standard difference before and after inverse probability of treatment weighting analysis between the dual antiplatelet therapy (DAPT) > 1 year and DAPT ≤ 1 year groups in (A) overall population (B) patients with lipoprotein(a) [Lp(a)] levels > 30 mg/dL and (C) patients with Lp(a) levels ≤ 30 mg/dL, respectively; HDL-C high-density lipoprotein cholesterol; LDL-C low-density lipoprotein cholesterol; LVEF left ventricular ejection fraction.
Extended DAPT vs. shortened DAPT in patients with different Lp(a) levels

In individuals with elevated Lp(a) levels, the incidence of 2.4-year MACCE was significantly lower in DAPT > 1 year group than that in DAPT ≤ 1 year group (1.2% vs. 2.7%; adjusted HR 0.284, 95% CI 0.115–0.700). In addition, patients in DAPT > 1 year group also presented lower risks of all-cause death, cardiac death, stroke, and definite/probable ST than those in DAPT ≤ 1 year group. Moreover, the risk of clinically relevant bleeding did not statistically differ between the extended DAPT and shortened DAPT groups (Fig. 4A, Suppl. Fig. S1, Suppl. Table S2).

In contrast, no statistically difference was found between DAPT > 1 year and DAPT ≤ 1 year groups in terms of the primary endpoint of MACCE at 2.4 years (1.3% vs. 2.0%; adjusted HR 0.736, 95% CI 0.374–1.449) in individuals with normal Lp(a) levels. Patients in DAPT > 1 year group had lower risks of all-cause mortality, and definite/probable ST compared with those in DAPT ≤ 1 year group. The risk of BARC type 2, 3 or 5 bleeding in extended DAPT group did not significantly differ from that in shortened DAPT group (Fig. 4B, Suppl. Fig. S1, Suppl. Table S2).

In IPTW analysis, all the candidate variables were well balanced between the DAPT ≤ 1 year and DAPT > 1 year groups in both the patients with normal and elevated Lp(a) levels (Fig. 3). Consistent with the results of multivariable Cox regression analysis, it suggested lower risks of MACCE and all-cause death in DAPT > 1 year group than that in DAPT ≤ 1 year group in individuals with elevated Lp(a) levels (Fig. 4A). In individuals with normal Lp(a) levels, the risk of MACCE did not statistically differ between DAPT > 1 year and DAPT ≤ 1 year groups, while extended DAPT was associated with lower risk of all-cause death and definite/probable ST in these patients (Fig. 4B).

Figure 4. Unadjusted and adjusted association between dual antiplatelet therapy duration and main clinical outcomes in patients with (A) lipoprotein(a) [Lp(a)] levels > 30 mg/dL and (B) Lp(a) levels ≤ 30 mg/dL, respectively; BARC Bleeding Academic Research Consortium; CI confidence interval; IPTW inverse probability of treatment weighting; HR hazard ratio; MI myocardial infarction.

Discussion

The present study is the first to specifically evaluate the effect of Lp(a) concentrations on the clinical outcomes of extended DAPT among a cohort of consecutive ACS patients after PCI. The major findings are as follows: (1) Extended DAPT contributed to the reduction of cardiovascular events without statistically increasing clinically relevant bleeding events in patients with ACS after PCI with DES; (2) The clinical benefit of extended DAPT was more pronounced in individuals with Lp(a) > 30 mg/dL, whereas in individuals with Lp(a) ≤ 30 mg/dL, extended DAPT did not show significant evidence of benefit in reducing the composite endpoint of MACCE.

Lipoprotein(a) is a lipoprotein particle formed by adding a carbohydrate-rich protein, i.e., apo(a), to apoB-100 on LDL particles via disulfide bonds. Although not fully understood, Lp(a) potentially contributes to cardiovascular disease through proatherogenic effects of its LDL-like moiety, prothrombotic effects through its plasminogen-like apo(a), and proinflammatory effects of its oxidized phospholipid content. Actually, there was overwhelming evidence from epidemiology and genetics that Lp(a) was an independent predictor of cardiovascular disease [1, 2]. For example, a large-scare meta-analysis including 126,634 patients confirmed a strong relationship between high Lp(a) levels and the incidence of CAD and stroke [4]. Furthermore, several studies demonstrated that high Lp(a) levels were associated with an increased risk of long-term recurrent cardiovascular events in patients undergoing PCI or with ACS. Based on data of 10,059 patients undergoing PCI (including 5923 ACS patients), it was found that Lp(a) > 30 mg/dL was positively related to higher risk of MACCE (death, MI, stroke or unplanned revascularization) at 2.4-year follow-up [7]. Konishi et al. [8] reported that elevated Lp(a) levels were significantly associated with higher incidence of 4.7-year cardiac death or ACS for diabetic patients who received PCI. Moreover, a study with 988 ACS patients who achieved target lipid levels suggested that Lp(a) was positively related to the composite endpoint of death, MI, or target vessel revascularization during 29-month follow-up [9].

One potential therapeutic approach to reduce the Lp(a)-associated poor prognosis is to reduce Lp(a) concentrations. Nevertheless, traditional lipid-lowering agents have little or moderate effect on reducing Lp(a) levels. Currently, there are no approved pharmacotherapies specifically targeting high Lp(a) concentrations. A post hoc analysis of the ODYSSEY OUTCOMES trial found a clinical benefit of PCSK9 inhibitors in ACS patients, however, the clinical benefit of PCSK9 inhibitors by reducing Lp(a) levels was very low [23]. Although a hepatocyte directed antisense oligonucleotides, APO(a)-LRx, could largely reduce the Lp(a) levels in patients with cardiovascular disease, whether it will provide clinical benefit remains to be seen [24]. Indeed, previous studies speculated that a reduction of 50–100 mg/dL in Lp(a) may be required to obtain significant clinical benefit [25–27]. However, many large-scale studies revealed that the incidences of cardiovascular events in participants with Lp(a) levels ranged from 30 mg/dL to 50 mg/dL are also very high, and these patients may not benefit from Lp(a)-lowering therapies [1, 4, 7, 18].

Due to the high degree of homology between apo(a) and plasminogen, Lp(a) potentiates thrombosis through inhibiting plasminogen activation and fibrin degradation, and promoting endothelial plasminogen activator inhibitor expression, tissue factor pathway inhibitor activity, and platelet reactivity [2]. The ASPREE trial enrolled 12,815 individuals without prior cardiovascular disease, and it reported that rs3798220-C carrier status or high LPA-GRS was associated with increased risk of cardiovascular events in the placebo group but not in the ASA group. Moreover, in the rs3798220-C and high LPA-GRS subgroups, the overall benefit of ASA may outweigh harm related to major bleeding, whereas the reduction of cardiovascular events and the increase of clinically significant bleeding was equal in overall participants [11]. Similarly, in the Women’s Health Study with women ≥ 45 years old, although the overall trial was negative, women with elevated Lp(a) levels benefited from ASA use, which suggested the risk could be modified by antiplatelet therapy (age-adjusted HR 0.44, 95% CI 0.20–0.94) [12]. In this setting, it was hypothesized herein, that enhanced antithrombotic therapy or extended DAPT after PCI may be beneficial for ACS patients with high Lp(a) levels. Therefore, the relative efficacy was compared and safety of extended DAPT (> 1 year) versus shortened DAPT (≤ 1 year) in ACS patients with elevated Lp(a) levels and normal Lp(a) levels, respectively.

The present study revealed that extended DAPT (up to 30 months) could reduce the risks of MACCE and all-cause death without statistically increasing clinically relevant bleeding for ACS patients with elevated Lp(a) levels after PCI. However, extended DAPT was not significantly associated with reduced incidence of the composite cardiovascular events for patients with normal Lp(a) levels, although the risks of all-cause death and definite/probable ST were lower in extended DAPT group than that in shortened DAPT group. Similarly, the author’s previous study with 3,201 stable CAD patients, the beneficial effect of extended DAPT was well established in patients with elevated Lp(a) levels, whereas extended DAPT tended to increase clinically relevant bleeding without reducing ischemic events in those with normal Lp(a) levels [16]. Notably, unlike the previous study, the present study did not find that extended DAPT increased the risk of clinically relevant bleeding in ACS patients with normal Lp(a) levels. This suggests that in this population, although the benefit of prolonged DAPT is not as great as that in ACS patients with elevated Lp(a) levels, it at least does not cause harm. Different from stable CAD patients who have not sustained a previous ischemic event, a heightened predisposition to thrombotic events may persist for years for patients with ACS [28, 29]. Therefore, ACS patients may be more likely to benefit from extended DAPT than those with stable CAD, and Lp(a) levels should be an important consideration in determining the DAPT duration after PCI for ACS patients.

Limitations of the study

There were several limitations in this study. First, this is a single-center, observational study, and the confounders might be complex. Although the confounding factors were adjusted through multivariable-adjusted analysis and IPTW analysis, it was not possible to control the unmeasured confounders and eliminate the selection bias. Second, the composite endpoint of MACCE did not reach statistical significance in ACS patients with normal Lp(a) levels, possibly due to the relatively small sample size and low incidence of ischemic events. It is well known that relatively low event rates can lead to an increased likelihood of overfitting. Third, although the clinical benefit of extended DAPT was confirmed in ACS patients with elevated Lp(a) levels, the current findings were derived from subgroup analysis of the cohort study and the results should be interpreted as hypothesis generating. Fourth, clopidogrel, instead of ticagrelor or prasugrel was predominantly used as a P2Y12 inhibitor for DAPT regimen (only 5 patients received ticagrelor), thus the clinical impact of extended DAPT with ASA plus a more potent P2Y12 inhibitor in ACS patients with different Lp(a) concentrations is unclear. Given that current guidelines recommend ticagrelor or prasugrel in ACS, further well-designed, large-scale, randomized trials with new P2Y12 inhibitors are needed. Last, the conclusions drawn from this study may not be generalized to those other than Asian ethnicities.

Conclusions

This study firstly demonstrated that extended DAPT (> 1 year) was statistically associated with lower risk of ischemic events in ACS patients with elevated Lp(a) levels after DES implantation, whereas this association was not found in individuals with normal Lp(a) levels. Further well-designed, large-scale, randomized trials are needed to confirm these findings.

Funding

This study was funded by Chinese Academy of Medical Science Innovation Found for Medical Sciences (CIFMS) (2021-I2M-1-008) (2020-I2M-C&T B-056), and Beijing Municipal Health Commission-Capital Health Development Research Project (2020-1-4032). Sponsors were not involved in the study design, data analysis, writing the manuscript, and the decision to submit the manuscript for publication.

Conflict of interest: None declared

References

  1. Nordestgaard BG, Langsted A. Lipoprotein (a) as a cause of cardiovascular disease: insights from epidemiology, genetics, and biology. J Lipid Res. 2016; 57(11): 1953–1975, doi: 10.1194/jlr.R071233, indexed in Pubmed: 27677946.
  2. Tsimikas S. A test in context: lipoprotein(a): diagnosis, prognosis, controversies, and emerging therapies. J Am Coll Cardiol. 2017; 69(6): 692–711, doi: 10.1016/j.jacc.2016.11.042, indexed in Pubmed: 28183512.
  3. Kamstrup PR, Benn M, Tybjaerg-Hansen A, et al. Extreme lipoprotein(a) levels and risk of myocardial infarction in the general population: the Copenhagen City Heart Study. Circulation. 2008; 117(2): 176–184, doi: 10.1161/CIRCULATIONAHA.107.715698, indexed in Pubmed: 18086931.
  4. Erqou S, Kaptoge S, Perry PL, et al. Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality. JAMA. 2009; 302(4): 412–423, doi: 10.1001/jama.2009.1063, indexed in Pubmed: 19622820.
  5. Kamstrup PR, Tybjærg-Hansen A, Nordestgaard BG, et al. Genetically elevated lipoprotein(a) and increased risk of myocardial infarction. JAMA. 2009; 301(22): 2331–2339, doi: 10.1001/jama.2009.801, indexed in Pubmed: 19509380.
  6. Clarke R, Peden JF, Hopewell JC, et al. Genetic variants associated with Lp(a) lipoprotein level and coronary disease. N Engl J Med. 2009; 361(26): 2518–2528, doi: 10.1056/NEJMoa0902604, indexed in Pubmed: 20032323.
  7. Cui K, Yin D, Zhu C, et al. Impact of lipoprotein(a) concentrations on long-term cardiovascular outcomes in patients undergoing percutaneous coronary intervention: A large cohort study. Nutr Metab Cardiovasc Dis. 2022; 32(7): 1670–1680, doi: 10.1016/j.numecd.2022.03.024, indexed in Pubmed: 35525680.
  8. Konishi H, Miyauchi K, Shitara J, et al. Impact of lipoprotein(a) on long-term outcomes in patients with diabetes mellitus who underwent percutaneous coronary intervention. Am J Cardiol. 2016; 118(12): 1781–1785, doi: 10.1016/j.amjcard.2016.08.067, indexed in Pubmed: 27712648.
  9. Ren Y, Pan W, Li X, et al. The predictive value of Lp(a) for adverse cardiovascular event in ACS patients with an achieved LDL-C target at follow up after PCI. J Cardiovasc Transl Res. 2022; 15(1): 67–74, doi: 10.1007/s12265-021-10148-2, indexed in Pubmed: 34152529.
  10. Xue Y, Jian S, Zhou W, et al. Associations of lipoprotein(a) with coronary atherosclerotic burden and all-cause mortality in patients with ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention. Front Cardiovasc Med. 2021; 8: 638679, doi: 10.3389/fcvm.2021.638679, indexed in Pubmed: 34212010.
  11. Lacaze P, Bakshi A, Riaz M, et al. Aspirin for primary prevention of cardiovascular events in relation to lipoprotein(a) genotypes. J Am Coll Cardiol. 2022; 80(14): 1287–1298, doi: 10.1016/j.jacc.2022.07.027, indexed in Pubmed: 36175048.
  12. Chasman DI, Shiffman D, Zee RYL, et al. Polymorphism in the apolipoprotein(a) gene, plasma lipoprotein(a), cardiovascular disease, and low-dose aspirin therapy. Atherosclerosis. 2009; 203(2): 371–376, doi: 10.1016/j.atherosclerosis.2008.07.019, indexed in Pubmed: 18775538.
  13. Capodanno D, Alfonso F, Levine GN, et al. ACC/AHA Versus ESC Guidelines on Dual Antiplatelet Therapy: JACC Guideline Comparison. J Am Coll Cardiol. 2018; 72(23 Pt A): 2915–2931, doi: 10.1016/j.jacc.2018.09.057, indexed in Pubmed: 30522654.
  14. Zhang D, Yan R, Gao G, et al. Validating the performance of 5 risk scores for major adverse cardiac events in patients who achieved complete revascularization after percutaneous coronary intervention. Can J Cardiol. 2019; 35(8): 1058–1068, doi: 10.1016/j.cjca.2019.02.017, indexed in Pubmed: 31376907.
  15. Cui K, Wang HY, Yin D, et al. Benefit and risk of prolonged dual antiplatelet therapy after percutaneous coronary intervention with drug-eluting stents in patients with elevated lipoprotein(a) concentrations. Front Cardiovasc Med. 2021; 8: 807925, doi: 10.3389/fcvm.2021.807925, indexed in Pubmed: 34988134.
  16. Cui K, Yin D, Zhu C, et al. How do lipoprotein(a) concentrations affect clinical outcomes for patients with stable coronary artery disease who underwent different dual antiplatelet therapy after percutaneous coronary intervention? J Am Heart Assoc. 2022; 11(9): e023578, doi: 10.1161/JAHA.121.023578, indexed in Pubmed: 35475627.
  17. Liu HH, Cao YX, Jin JL, et al. Predicting cardiovascular outcomes by baseline lipoprotein(a) concentrations: a large cohort and long-term follow-up study on real-world patients receiving percutaneous coronary intervention. J Am Heart Assoc. 2020; 9(3): e014581, doi: 10.1161/JAHA.119.014581, indexed in Pubmed: 32013705.
  18. Willeit P, Ridker PM, Nestel PJ, et al. Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials. Lancet. 2018; 392(10155): 1311–1320, doi: 10.1016/S0140-6736(18)31652-0, indexed in Pubmed: 30293769.
  19. Joint committee issued Chinese guideline for the management of dyslipidemia in adults. [2016 Chinese guideline for the management of dyslipidemia in adults]. Zhonghua Xin Xue Guan Bing Za Zhi. 2016; 44(10): 833–853, doi: 10.3760/cma.j.issn.0253-3758.2016.10.005, indexed in Pubmed: 27903370.
  20. White HD, Thygesen K, Alpert JS, et al. Third universal definition of myocardial infarction. Eur Heart J. 2012; 33(20): 2551–2567, doi: 10.1093/eurheartj/ehs184, indexed in Pubmed: 22922414.
  21. Cutlip DE, Windecker S, Mehran R, et al. Clinical end points in coronary stent trials: a case for standardized definitions. Circulation. 2007; 115(17): 2344–2351, doi: 10.1161/CIRCULATIONAHA.106.685313, indexed in Pubmed: 17470709.
  22. Mehran R, Rao SV, Bhatt DL, et al. Standardized bleeding definitions for cardiovascular clinical trials: a consensus report from the Bleeding Academic Research Consortium. Circulation. 2011; 123(23): 2736–2747, doi: 10.1161/CIRCULATIONAHA.110.009449, indexed in Pubmed: 21670242.
  23. Szarek M, Bittner VA, Aylward P, et al. Lipoprotein(a) lowering by alirocumab reduces the total burden of cardiovascular events independent of low-density lipoprotein cholesterol lowering: ODYSSEY OUTCOMES trial. Eur Heart J. 2020; 41(44): 4245–4255, doi: 10.1093/eurheartj/ehaa649, indexed in Pubmed: 33051646.
  24. Tsimikas S, Karwatowska-Prokopczuk E, Gouni-Berthold I, et al. Lipoprotein(a) reduction in persons with cardiovascular disease. N Engl J Med. 2020; 382(3): 244–255, doi: 10.1056/nejmoa1905239, indexed in Pubmed: 31893580.
  25. Burgess S, Ference BA, Staley JR, et al. Association of LPA variants with risk of coronary disease and the implications for lipoprotein(a)-lowering therapies: a mendelian randomization analysis. JAMA Cardiol. 2018; 3(7): 619–627, doi: 10.1001/jamacardio.2018.1470, indexed in Pubmed: 29926099.
  26. Lamina C, Kronenberg F. Lp(a)-GWAS-Consortium. Estimation of the required lipoprotein(a)-lowering therapeutic effect size for reduction in coronary heart disease outcomes: a mendelian randomization analysis. JAMA Cardiol. 2019; 4(6): 575–579, doi: 10.1001/jamacardio.2019.1041, indexed in Pubmed: 31017618.
  27. Madsen CM, Kamstrup PR, Langsted A, et al. Lipoprotein(a)-lowering by 50 mg/dL (105 nmol/L) may be needed to reduce cardiovascular disease 20% in secondary prevention: a population-based study. Arterioscler Thromb Vasc Biol. 2020; 40(1): 255–266, doi: 10.1161/ATVBAHA.119.312951, indexed in Pubmed: 31578080.
  28. Fox KAA, Carruthers KF, Dunbar DR, et al. Underestimated and under-recognized: the late consequences of acute coronary syndrome (GRACE UK-Belgian Study). Eur Heart J. 2010; 31(22): 2755–2764, doi: 10.1093/eurheartj/ehq326, indexed in Pubmed: 20805110.
  29. Jernberg T, Hasvold P, Henriksson M, et al. Cardiovascular risk in post-myocardial infarction patients: nationwide real world data demonstrate the importance of a long-term perspective. Eur Heart J. 2015; 36(19): 1163–1170, doi: 10.1093/eurheartj/ehu505, indexed in Pubmed: 25586123.