| Literature DB >> 23555019 |
Xiang Xie1, Yi-Tong Ma, Yi-Ning Yang, Xiao-Mei Li, Xiang Ma, Zhen-Yan Fu, Ying-Ying Zheng, Bang-Dang Chen, Fen Liu.
Abstract
BACKGROUND: Several studies have indicated that CYP2C19 loss-of-function polymorphisms have a higher risk of stent thrombosis (ST) after percutaneous coronary interventions (PCIs). However, this association has not been investigated thoroughly in a Chinese population. In this study, we aimed to determine the effect of CYP2C19*2 and CYP2C19*3 loss-of-function polymorphisms on the occurrence of ST and other adverse clinical events in a Chinese population.Entities:
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Year: 2013 PMID: 23555019 PMCID: PMC3595238 DOI: 10.1371/journal.pone.0059344
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Study flow chart.
DNA:desoxy-ribonucleic acid; PTCA, conventional balloon angioplasty.
Baseline characteristics of the study population.
| Variables | Overall (n = 1068) | Genotypes | P value | ||
| EMs (n = 454) | IMs (n = 514) | PMs (n = 100) | |||
| Age (year) | 59.46±11.04 | 59.44±11.35 | 59.58±10.85 | 59.02±10.71 | 0.897 |
| BMI (Kg/m2) | 25.93±6.20 | 25.53±3.72 | 26.25±3.72 | 26.05±4.11 | 0.202 |
| SBP (mmHg) | 135.94±26.34 | 138.00±27.79 | 134.89±25.46 | 131.65±23.05 | 0.074 |
| DBP (mmHg) | 83.50±16.53 | 84.63±17.63 | 83.11±14.97 | 79.97±19.08 | 0.060 |
| Pulse (beats/min) | 73.53±10.89 | 73.49±11.51 | 73.42±10.26 | 74.22±11.14 | 0.803 |
| BUN (mmol/L) | 5.15±1.98 | 5.23±1.90 | 5.1±2.1 | 5.06±1.78 | 0.577 |
| Cr (mmol/L) | 79.41±21.13 | 79.19±21.73 | 80.40±20.29 | 75.25±22.37 | 0.091 |
| URIC (mmol/L) | 325.63±89.32 | 327.39±94.86 | 327.45±83.29 | 308.77±93.19 | 0.154 |
| GLU (mmol/L) | 6.22±2.50 | 6.32±2.49 | 6.16±2.57 | 6.14±2.19 | 0.598 |
| HbAlc (mmol/L) | 2.34±3.79 | 2.2±0.65 | 2.5±5.41 | 2.08±0.47 | 0.411 |
| TG (mmol/L) | 2.06±1.62 | 2.0±1.42 | 2.09±1.76 | 2.11±1.68 | 0.694 |
| TC (mmol/L) | 4.23±1.13 | 4.23±1.21 | 4.25±1.07 | 4.13±0.98 | 0.640 |
| HDLC (mmol/L) | 1.06±0.36 | 1.05±0.3 | 1.07±0.41 | 1.07±0.25 | 0.511 |
| LDLC (mmol/L) | 2.44±.940 | 2.5±0.96 | 2.42±0.93 | 2.34±0.88 | 0.231 |
| APOA (mmol/L) | 1.20±.32 | 1.18±0.31 | 1.21±0.35 | 1.17±0.23 | 0.242 |
| APOB (mmol/L) | 0.98±3.11 | 0.86±0.42 | 1.1±0.405 | 0.87±0.234 | 0.513 |
Baseline characteristics of the study population.
| Variables | Overall (n = 1068) | Phenotypes | P value | ||
| EMs (n = 454) | IMs (n = 514) | PMs (n = 100) | |||
| Sex, Female, n (%) | 854 (20.0) | 95 (20.9) | 98 (19.07) | 21 (21.0) | 0.747 |
| Smoking, n (%) | |||||
| Never smoking | 456 (42.7) | 184 (40.52) | 226 (43.97) | 46 (46.0) | 0.779 |
| Former smoking | 26 (2.4) | 11 (2.42) | 13 (2.53) | 2 (2.0) | |
| Current smoking | 586 (54.9) | 259 (57.05) | 275 (53.50) | 52 (52.0) | |
| Drinking, n (%) | |||||
| Never drinking | 654 (61.2) | 283 (62.33) | 302 (58.75) | 69 (69.00) | 0.080 |
| Former drinking | 361 (33.8) | 152 (33.48) | 186 (36.19) | 23 (23.00) | |
| Current drinking | 53 (5.0) | 19 (4.19) | 26 (5.06) | 8 (8.0) | |
| DM, n (%) | 330 (30.90) | 154 (33.92) | 148 (28.79) | 28 (28.0) | 0.177 |
| Hp, n (%) | 647 (60.6) | 284 (62.56) | 309 (60.11) | 54 (54.00) | 0.323 |
| Obesity, n (%) | 236 (22.1) | 91 (20.0) | 122 (23.74) | 23 (23.00) | 0.375 |
| Hypertriglyceridemia, n (%) | 473 (44.3) | 193 (42.51) | 234 (45.53) | 46 (36.0) | 0.601 |
| Hypercholesterolemia, n (%) | 178 (16.7) | 76 (16.7) | 87 (16.9) | 15 (15.0) | 0.893 |
Angiographic and procedural characteristics.
| Variables | Phenotypes | P value | ||
| EMs (n = 454) | IMs (n = 514) | PMs (n = 100) | ||
| Target vessel, n (%) | ||||
| Left main | 19 (4.19) | 27 (5.25) | 3 (3.00) | 0.362 |
| LAD | 325 (71.59) | 336 (65.37) | 70 (70.00) | |
| LCX | 59 (13.00) | 73 (14.20) | 11(11.00) | |
| RCA | 51 (11.23) | 78 (15.18) | 16 (16.00) | |
| Stent type, n (%) | ||||
| Taxus® | 70 (15.42) | 75 (14.59) | 12 (12.00) | 0.247 |
| Firebird® | 86 (18.94) | 111 (21.60) | 20 (20.00) | |
| EXCEL® | 37 (8.15) | 36 (7.00) | 13 (13.00) | |
| Cypher® | 127 (27.97) | 132 (25.68) | 24 (24.00) | |
| Partner® | 74 (16.30) | 68 (13.23) | 15 (15.00) | |
| Endeaver® | 29 (6.39) | 28 (5.45) | 4 (4.00) | |
| Others | 31 (6.83) | 64 (12.45) | 12 (12.00) | |
Distribution of genotypes of CYP2C19.
| Subjects | EMs (n, %) | IMs (n, %) | PMs (n, %) | |||
| *1/*1 | *1/*2 | *1/*3 | *2/*2 | *2/*3 | *3/*3 | |
| Total | 454 (42.51) | 493 (46.16) | 21 (1.97) | 81 (7.58) | 8 (0.75) | 11 (1.03) |
| Men | 359 (33.61) | 400 (37.45) | 16 (1.50) | 65 (6.10) | 6 (0.56) | 8 (0.75) |
| Women | 95 (8.90) | 93 (8.70) | 5 (0.47) | 16 (1.50) | 2 (0.19) | 3 (0.28) |
Accumulated Major Adverse Events During the One-year Period After Intervention.
| Clinical outcomes | Phenotypes |
| ||
| EMs (n = 454) | IMs (n = 514) | PMs (n = 100) | ||
| ST, n (%) | 4 (0.88) | 24 (4.67) | 10 (10.00) | <0.001 |
| Death, n (%) | 10 (2.20) | 18 (3.50) | 8(8.00) | 0.014 |
| MI, n (%) | 13 (2.86) | 20 (3.89) | 15 (15.00) | <0.001 |
| Any of the above events, n (%) | 26 (3.52) | 50 (9.73) | 16 (16.00) | <0.001 |
| Bleeding events, n (%) | 8 (1.76) | 4 (0.78) | 0 (0) | 0.187 |
Results of a multivariable Cox proportional hazards model.
| Variables | B | SE | P value | Hazard ratio (95.0% CI) |
| Sex | 0.247 | 0.379 | 0.514 | 1.280 (0.609–2.690) |
| Age | 0.052 | 0.016 | 0.001 | 1.054 (1.021–1.087) |
| Stent type | 0.701 | 0.377 | 0.063 | 2.015 (0.963–4.217) |
| DM | 0.299 | 0.359 | 0.406 | 1.348 (0.666–2.727) |
| HP | 0.704 | 0.394 | 0.074 | 2.021 (0.934–4.374) |
| Hypertriglyceridemia | 0.272 | 0.357 | 0.447 | 1.312 (0.651–2.645) |
| Hypercholesterolemia | 0.565 | 0.415 | 0.173 | 1.759 (0.781–3.964) |
| Phenotype | 0.019 | |||
| IMs | 0.818 | 0.563 | 0.146 | 2.266 (0.751–6.834) |
| PMs | 1.662 | 0.632 | 0.009 | 5.268 (1.528–18.164) |
Figure 2Kaplan – Meier Curves for Event free Survival According to CYP2C19 Loss-of-Function Allele Carrier Status among Chinese Patients with CAD following PCI.