Literature DB >> 34850261

Influence of body size on platelet response to ticagrelor and prasugrel in patients with acute coronary syndromes.

Gjin Ndrepepa1, Stefan Holdenrieder2, Isabell Bernlochner3,4, Adnan Kastrati5,4.   

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Year:  2021        PMID: 34850261      PMCID: PMC9242954          DOI: 10.1007/s00392-021-01976-y

Source DB:  PubMed          Journal:  Clin Res Cardiol        ISSN: 1861-0684            Impact factor:   6.138


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Sirs: The influence of body size on platelet response to ticagrelor and prasugrel remains poorly investigated. So far, limited evidence exists on the platelet response to prasugrel in relation to body size indices [1]. In regard to ticagrelor, the platelet response to this drug has been investigated only according to body mass index (BMI) and the data are controversial [2-4]. We undertook this study to assess the influence of body size indices on the platelet response to ticagrelor and prasugrel in patients with acute coronary syndromes (ACS). This study included 598 patients with ACS who were platelet P2Y12 receptor inhibitor-naïve on admission and who underwent platelet function tests in the setting of Intracoronary Stenting and Antithrombotic Regimen: Rapid Early Action for Coronary Treatment (ISAR-REACT) 5 trial (Clinical Trial Registration: NCT01944800) at the Klinikum rechts der Isar and Deutsches Herzzentrum München, Germany. Patients with ACS planned to undergo an invasive treatment strategy were randomized to ticagrelor (loading dose of 180 mg) or prasugrel (loading dose of 60 mg) with 1:1 randomization ratio. Detailed inclusion/exclusion criteria are reported in the primary publication [5]. Venous whole blood was obtained from patients before and after study drug loading dose administration. Adenosine diphosphate (ADP)-induced platelet aggregation values were measured using the Mulitplate®Analyzer (Roche Diagnostics, Switzerland). Platelet aggregation values were quantified as area under the curve of aggregation units (AU × min) [6]. Five body size indices were included in the current analysis: body weight (BW) in kg; BMI calculated as weight(kg)/height(m)2; body surface area (BSA) calculated as BSA = (weight[kg]0.425 × height[cm]0.725) × 0.007184 [7]; lean body mass (LBM) calculated as, LBM = (1.1 × weight[kg]) − 128 × (weight[kg]/height[cm])2 in men and LBM = (1.07 × weight [kg]) − 148 × (weight[kg]/height[cm])2 in women [8]; and blood volume (BV) calculated as, BV = (0.006012 × height[inch]3) /(14.6 × weight [pound] + 604 in men and BV = (0.005835 × height[inch]3) / (15 × weight [pound]) + 183 in women [9]. The primary outcome was ADP-induced platelet aggregation values within 24 h following loading dose of ticagrelor and prasugrel. Patients were categorized in subgroups according to tertiles of each body size index. Data are presented as medians with 25th–75th percentiles, mean ± standard deviation or counts (%). Comparison between groups was performed using the Kruskal–Wallis rank-sum test. A two-sided P < 0.05 was considered to indicate statistical significance. The study was approved by the Local Ethics Committee and conforms to the Declaration of Helsinki. Baseline data are shown in Table 1. Baseline demographic, clinical and procedural characteristics were well balanced between patients in ticagrelor and prasugrel groups. All patients underwent percutaneous coronary intervention. Measurement of ADP-induced platelet aggregation was performed after a median [25th–75th percentiles] of 11.8 [5.4–16.9] hours after prasugrel loading and 11.8 [6.1–17.8] hours after ticagrelor loading (P = 0.299). ADP-induced platelet aggregation values at baseline and within 24 h after drug loading are shown in Table 2. Baseline ADP-induced platelet aggregation values did not differ significantly according to the tertiles of all body size indices in ticagrelor or prasugrel groups. A strong platelet inhibition was observed in ticagrelor and prasugrel groups and the platelet inhibition was stronger with prasugrel than ticagrelor. The deeper platelet inhibition with prasugrel versus ticagrelor in all tertiles of body size indices supports the main findings of the primary trial [5]. In the ticagrelor-treated patients, the ADP-induced platelet aggregation values within 24 h following drug loading did not to differ according to tertiles of each body size index (P ≥ 0.488 for all comparisons). In the prasugrel-treated patients, the ADP-induced platelet aggregation values were higher in upper tertiles of BW, BSA, LBM and BV, but not BMI. The level of statistical significance was achieved for BSA (P = 0.016), LBM (P = 0.042) and BV (P = 0.017; Table 2).
Table 1

Baseline characteristics

Characteristic (n = 598)Value
Age (years)65.0 [55.0–75.0]
Women126 (21.1)
Diabetes mellitus129 (21.6)
Current smoking198 (33.7)
History of arterial hypertension431 (72.6)
History of hypercholesterolemia385 (64.4)
Previous myocardial infarction109 (18.3)
Previous percutaneous coronary intervention149 (25.0)
Previous coronary artery bypass surgery40 (6.7)
Systolic blood pressure (mmHg)150 [130–163]
Diastolic blood pressure (mmHg)80 [75–90]
Unstable angina64 (10.7)
Non-ST-segment elevation myocardial infarction254 (42.5)
ST-segment elevation myocardial infarction280 (46.8)
Coronary angiography598 (100.0)
 Femoral artery access581 (97.2)
 Radial artery access17 (2.8)
Extent of coronary artery disease
 One-vessel disease145 (24.2)
 Two-vessel disease172 (28.8)
 Three vessel disease281 (47.0)
Left ventricular ejection fraction (%)48.7 ± 10.1
Post-procedural TIMI flow grade
 09 (1.5)
 11 (0.2)
 225 (4.2)
 3563 (94.1)
Percutaneous coronary intervention598 (100.0)
Drug-eluting stent500 (83.6)
Bioresorbable vascular scaffold67 (11.2)
Periprocedural antithrombotic therapy
 Aspirin559 (93.4)
 Unfractionated heparin596 (99.7)
 Low molecular weight heparin5 (0.8)
 Bivalirudin1 (0.2)
 Beta-blocking agents on admission180 (30.1)
 Statins on admission182 (30.4)
Body weight (kg)81.0 [72.0–93.0]
Body mass index (kg/m2)26.9 [24.7–29.7]
Body surface area (m2)1.97 [1.83–2.10]
Lean body mass (kg)58.9 [53.2–63.9]
Blood volume (Liter)5.18 [4.62–5.64]

Data are median with 25th–75th percentiles, mean ± standard deviation or count (%)

TIMI thrombolysis in myocardial infarction

Table 2

Platelet aggregation measurement at baseline and within 24 h after drug loading dose administration

Body size index/ADP-induced platelet aggregation valuesTicagrelor (n = 289)P valuePrasugrel (n = 309)P value
BW tertiles1 (n = 98)2 (n = 95)3 (n = 96)1 (n = 109)2 (n = 109)3 (n = 91)
BW (kg)

70.0

[62.2–73.0]

81.0

[80.0–85.0]

96.0

[93.0–106.0]

< 0.001

69.0

[63.0–72.0]

82.0

[80.0–85.0]

100.0

[95.0–108.0]

< 0.001
 Baseline ADP-induced platelet aggregation values (AU × min)862 [607–1112]

832

[593–1134]

798 [628–1122]0.941832 [555–1102]833 [654–1124]845 [632–1005]0.751
 After drug loading dose ADP-induced platelet aggregation values (AU × min)

130

[73.5–198]

147

[84.5–230]

126

[75–197]

0.488

88

[48–149]

116

[64–173]

117

[63–199]

0.054
BMI tertiles1 (n = 97)2 (n = 96)3 (n = 96)1 (n = 104)2 (n = 102)3 (n = 103)
BMI (kg/m2)

23.8

[22.1–24.8]

26.8

[26.1–27.8]

31.1

[29.6–34.4]

< 0.001

23.7

[22.2–24.5]

27.1

[26.2–27.7]

31.4

[29.9–34.0]

< 0.001
 Baseline ADP-induced platelet aggregation values (AU × min)

832

[608–1108]

867

[547–1144]

784

[634–1083]

0.927

833

[561–1105]

831

[638–1113]

843 [636–1018]0.753
 After drug loading dose ADP-induced platelet aggregation values (AU × min)

132

[77–212]

146

[86–221]

126

[68–195]

0.664

107

[58–169]

102

[59–180]

103

[60–160]

0.988
BSA tertiles1 (n = 97)2 (n = 96)3 (n = 96)1 (n = 103)2 (n = 103)3 (n = 103)
BSA (m2)

1.77

[1.69–1.83]

1.97

[1.93–2.01]

2.16

[2.10–2.25]

< 0.001

1.75

[1.67–1.82]

1.97

[1.93–2.01]

2.15

[2.11–2.25]

< 0.001
 Baseline ADP-induced platelet aggregation values (AU × min)881 [607–1149]786 [603–1098]794 [625–1122]0.554848 [621–1105]828 [590–1098]836 [636–1008]0.899
 After drug loading dose ADP-induced platelet aggregation values (AU × min)

130

[86–198]

144

[80–224]

126

[75.5–202]

0.845

87

[47–140]

119

[66–174]

116

[63–199]

0.016
LBM tertiles1 (n = 99)2 (n = 94)3 (n = 96)1 (n = 103)2 (n = 103)3 (n = 103)
LBM (kg)

51.8

[48.5–53.4]

58.9

[57.3–60.3]

66.1

[63.9–69.0]

< 0.001

50.0

[47.0–53.0]

59.0

[57.3–60.3]

66.0 [64.3–68.8]< 0.001
 Baseline ADP-induced platelet aggregation values (AU × min)

864

[596–1137]

798

[654–1115]

794

[600–1122]

0.838

857

[637–1118]

828

[569–1098]

822

[631–996]

0.508
 After drug loading dose ADP-induced platelet aggregation values (AU × min)

129

[74–206]

144

[83–219]

135

[75.5–205]

0.764

88

[49–142]

119

[65–171]

117

[62.5–196]

0.042
BV tertiles1 (n = 99)2 (n = 96)3 (n = 94)1 (n = 103)2 (n = 103)3 (n = 103)
BV (Liter)

4.42

[4.15–4.65]

5.20

[5.05–5.32]

5.86

[5.63–6.17]

< 0.001

4.25

[3.82–4.60]

5.18

[4.99–5.31]

5.82

[5.64–6.14]

< 0.001
 Baseline ADP-induced platelet aggregation values (AU × min)

880

[607–1148]

784

[628–1095]

810

[611–1125]

0.551

858

[644–1148]

809

[543–1060]

824

[636–999]

0.209
 After drug loading dose ADP-induced platelet aggregation values (AU × min)

130

[74–208]

134

[80–208]

142

[79–206]

0.858

88

[44–140]

119

[65.5–174]

117

[63–196]

0.017

Data are median with 25th–75th percentiles

ADP adenosine diphosphate, BMI body mass index, BW body weight, BSA body surface area, BV blood volume, LBM lean body mass

Baseline characteristics Data are median with 25th–75th percentiles, mean ± standard deviation or count (%) TIMI thrombolysis in myocardial infarction Platelet aggregation measurement at baseline and within 24 h after drug loading dose administration 70.0 [62.2–73.0] 81.0 [80.0–85.0] 96.0 [93.0–106.0] 69.0 [63.0–72.0] 82.0 [80.0–85.0] 100.0 [95.0–108.0] 832 [593-1134] 130 [73.5–198] 147 [84.5–230] 126 [75-197] 88 [48-149] 116 [64-173] 117 [63-199] 23.8 [22.1–24.8] 26.8 [26.1–27.8] 31.1 [29.6–34.4] 23.7 [22.2–24.5] 27.1 [26.2–27.7] 31.4 [29.9–34.0] 832 [608-1108] 867 [547-1144] 784 [634-1083] 833 [561-1105] 831 [638-1113] 132 [77-212] 146 [86-221] 126 [68-195] 107 [58-169] 102 [59-180] 103 [60-160] 1.77 [1.69–1.83] 1.97 [1.93–2.01] 2.16 [2.10–2.25] 1.75 [1.67–1.82] 1.97 [1.93–2.01] 2.15 [2.11–2.25] 130 [86-198] 144 [80-224] 126 [75.5–202] 87 [47-140] 119 [66-174] 116 [63-199] 51.8 [48.5–53.4] 58.9 [57.3–60.3] 66.1 [63.9–69.0] 50.0 [47.0–53.0] 59.0 [57.3–60.3] 864 [596-1137] 798 [654-1115] 794 [600-1122] 857 [637-1118] 828 [569-1098] 822 [631-996] 129 [74-206] 144 [83-219] 135 [75.5–205] 88 [49-142] 119 [65-171] 117 [62.5–196] 4.42 [4.15–4.65] 5.20 [5.05–5.32] 5.86 [5.63–6.17] 4.25 [3.82–4.60] 5.18 [4.99–5.31] 5.82 [5.64–6.14] 880 [607-1148] 784 [628-1095] 810 [611-1125] 858 [644-1148] 809 [543-1060] 824 [636-999] 130 [74-208] 134 [80-208] 142 [79-206] 88 [44-140] 119 [65.5–174] 117 [63-196] Data are median with 25th–75th percentiles ADP adenosine diphosphate, BMI body mass index, BW body weight, BSA body surface area, BV blood volume, LBM lean body mass The main findings of this study may be summarized as follows: (1) Platelet response to ticagrelor appears not to depend on the body size. ADP-induced platelet aggregation values within 24 h following ticagrelor loading did not differ according to tertiles of body size indices investigated in the current study. (2) Platelet response to prasugrel appears to differ according to body size indices with higher platelet aggregation values in upper tertiles in four of five body size indices investigated in this analysis. (3) Platelet response to ticagrelor or prasugrel appears not to differ according to BMI tertiles, the commonly used body size index in pharmacological and clinical studies involving antiplatelet drugs. Thus, BMI may be suboptimal to guide dosing of antiplatelet drugs based on the platelet response to a given drug. Jakubowski et al.[1] reported an inverse relationship between body size indices (BW, BMI and BSA) and response to clopidogrel or prasugrel. Notably, the body size was a determinant of exposure to active metabolites and residual platelet activity regardless of type and dose of thienopyridine and BW and BSA showed stronger correlations with platelet reactivity [1]. With regard to platelet response to ticagrelor in relation to body size indices, a study by Deharo et al. [2] reported that BMI did not impact platelet inhibition by ticagrelor in patients with ACS. The frequency of drug administration (twice daily for ticagrelor and once daily for prasugrel) may impact on the platelet response to ticagrelor or prasugrel according to the body size. The study has limitations mostly related to being a subgroup analysis and to not repeating the platelet inhibition tests during the study course. In conclusion, body size appears to influence the platelet response to prasugrel but not to ticagrelor. Among body size indices investigated, higher values of BSA, LBM and BV but not BMI were associated with higher ADP-induced platelet aggregation values within 24 h following prasugrel loading. These data may serve to optimize dosing of antiplatelet drugs in patients with ACS. Future studies are needed to confirm these results and clarify how antiplatelet drug dosing could be adjusted according to the body size.
  7 in total

1.  The influence of body size on the pharmacodynamic and pharmacokinetic response to clopidogrel and prasugrel: a retrospective analysis of the FEATHER study.

Authors:  Joseph A Jakubowski; Dominick J Angiolillo; Chunmei Zhou; David S Small; Brian A Moser; Jurrien M Ten Berg; Patricia B Brown; Stefan James; Kenneth J Winters; David Erlinge
Journal:  Thromb Res       Date:  2014-05-21       Impact factor: 3.944

2.  Prediction of blood volume in normal human adults.

Authors:  Samuel B Nadler; John H Hidalgo; Ted Bloch
Journal:  Surgery       Date:  1962-02       Impact factor: 3.982

Review 3.  Platelet reactivity during ticagrelor maintenance therapy: a patient-level data meta-analysis.

Authors:  Dimitrios Alexopoulos; Ioanna Xanthopoulou; Robert F Storey; Kevin P Bliden; Udaya S Tantry; Dominick J Angiolillo; Paul A Gurbel
Journal:  Am Heart J       Date:  2014-07-11       Impact factor: 4.749

4.  Body mass index has no impact on platelet inhibition induced by ticagrelor after acute coronary syndrome, conversely to prasugrel.

Authors:  Pierre Deharo; Mathieu Pankert; Guillaume Bonnet; Jacques Quilici; Clemence Bassez; Pierre Morange; Marie-Christine Alessi; Jean-Louis Bonnet; Thomas Cuisset
Journal:  Int J Cardiol       Date:  2014-08-05       Impact factor: 4.164

5.  Ticagrelor or Prasugrel for Platelet Inhibition in Acute Coronary Syndrome Patients: The ISAR-REACT 5 Trial.

Authors:  Katharina Mayer; Dario Bongiovanni; Vincent Karschin; Dirk Sibbing; Dominick J Angiolillo; Heribert Schunkert; Karl-Ludwig Laugwitz; Stefanie Schüpke; Adnan Kastrati; Isabell Bernlochner
Journal:  J Am Coll Cardiol       Date:  2020-11-24       Impact factor: 24.094

6.  Ticagrelor or Prasugrel in Patients with Acute Coronary Syndromes.

Authors:  Stefanie Schüpke; Franz-Josef Neumann; Maurizio Menichelli; Katharina Mayer; Isabell Bernlochner; Jochen Wöhrle; Gert Richardt; Christoph Liebetrau; Bernhard Witzenbichler; David Antoniucci; Ibrahim Akin; Lorenz Bott-Flügel; Marcus Fischer; Ulf Landmesser; Hugo A Katus; Dirk Sibbing; Melchior Seyfarth; Marion Janisch; Duino Boncompagni; Raphaela Hilz; Wolfgang Rottbauer; Rainer Okrojek; Helge Möllmann; Willibald Hochholzer; Angela Migliorini; Salvatore Cassese; Pasquale Mollo; Erion Xhepa; Sebastian Kufner; Axel Strehle; Stefan Leggewie; Abdelhakim Allali; Gjin Ndrepepa; Helmut Schühlen; Dominick J Angiolillo; Christian W Hamm; Alexander Hapfelmeier; Ralph Tölg; Dietmar Trenk; Heribert Schunkert; Karl-Ludwig Laugwitz; Adnan Kastrati
Journal:  N Engl J Med       Date:  2019-09-01       Impact factor: 91.245

7.  The association of body mass index with long-term clinical outcomes after ticagrelor monotherapy following abbreviated dual antiplatelet therapy in patients undergoing percutaneous coronary intervention: a prespecified sub-analysis of the GLOBAL LEADERS Trial.

Authors:  Masafumi Ono; Ply Chichareon; Mariusz Tomaniak; Hideyuki Kawashima; Kuniaki Takahashi; Norihiro Kogame; Rodrigo Modolo; Hironori Hara; Chao Gao; Rutao Wang; Simon Walsh; Harry Suryapranata; Pedro Canas da Silva; James Cotton; René Koning; Ibrahim Akin; Benno J W M Rensing; Scot Garg; Joanna J Wykrzykowska; Jan J Piek; Peter Jüni; Christian Hamm; Philippe Gabriel Steg; Marco Valgimigli; Stephan Windecker; Robert F Storey; Yoshinobu Onuma; Pascal Vranckx; Patrick W Serruys
Journal:  Clin Res Cardiol       Date:  2020-01-31       Impact factor: 5.460

  7 in total

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