| Literature DB >> 30485352 |
Elena Candela1, Francisco Marín2, José Miguel Rivera-Caravaca2, Nuria Vicente Ibarra3, Luna Carrillo1, María Asunción Esteve-Pastor2, Teresa Lozano1, Manuel Jesús Macías1, Vicente Pernias3, Miriam Sandín1, Esteban Orenes-Piñero2, Miriam Quintana-Giner2, Ignacio Hortelano1, Beatriz Villamía1, Andrea Veliz2, Mariano Valdés2, Juan G Martínez-Martínez1, Juan M Ruiz-Nodar1.
Abstract
INTRODUCTION AND AIMS: Patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) are often managed conservatively. Clinical practice guidelines recommend treating these patients with the same pharmacological drugs as those who receive invasive treatment. We analyze the use of new antiplatelet drugs (NADs) and other recommended treatments in people discharged following an NSTE-ACS according to the treatment strategy used, comparing the medium-term prognosis between groups.Entities:
Mesh:
Substances:
Year: 2018 PMID: 30485352 PMCID: PMC6261622 DOI: 10.1371/journal.pone.0208069
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow chart of patients and analyzed subgroups.
STEMI: ST-elevation myocardial infarction; NSTE-ACS: non-ST-elevation ACS; PCI: percutaneous coronary intervention; CABG: coronary artery bypass graft.
Baseline patient characteristics.
| Treatment category (N = 1143) | |||||
|---|---|---|---|---|---|
| NO CATH | CATH-NO REVASC | PCI | CABG | p value | |
| 79.4±10.6 | 67.8 ± 12.4 | 65.6 ±12.4 | 67.8 ± 9.5 | <0.001 | |
| 55 (41.0%) | 110 (43.0%) | 157(25.0%) | 21 (25.0%) | <0.001 | |
| 113 (84.3%) | 203 (79.3%) | 427 (68.0%) | 89 (71.8%) | <0.001 | |
| 84 (62.7%) | 164 (64.1%) | 391 (62.2%) | 89 (71.8%) | <0.001 | |
| 71 (53.0%) | 98 (38.3%) | 257 (40.9%) | 63 (50.8%) | <0.001 | |
| 19 (14.3%) | 71 (27.7%) | 228 (36.3%) | 36 (29.0%) | <0.001 | |
| 70 (52.2%) | 83 (32.4%) | 190 (30.2%) | 36 (29.0%) | <0.001 | |
| 25 (18.7%) | 26 (10.2%) | 55 (8.7%) | 17 (13.7%) | 0.006 | |
| 27 (20.1%) | 25 (9.8%) | 55 (8.7%) | 10 (8.1%) | 0.001 | |
| 24 (18.2%) | 34 (13.3%) | 51 (8.1%) | 6 (4.8%) | 0.002 | |
| 77 (57.5%) | 102 (39.8%) | 252 (40.1%) | 57 (46.0%) | 0.002 | |
| 37 (27.6%) | 45 (17.6%) | 92 (14.6%) | 21 (16.9%) | 0.004 | |
| 16 (11.9%) | 38 (14.8%) | 59 (9.4%) | 6 (4.8%) | 0.014 | |
| 27.3 ±4.8 | 28.8 ±5.2 | 28.8 ±4.5 | 27.8 ±4.1 | 0.008 | |
| | 105 (78.4%) | 182 (71.1%) | 470 (74.7%) | 88 (71.0%) | 0.362 |
| | 56.6 ±12.5 | 57.3 ±10.9 | 57.8 ±10.3 | 57.4 ±12.5 | 0.677 |
| | 56.8 ± 30.1 | 77.5 ± 27.8 | 78.3 ±28.6 | 77.4 ±24.9 | <0.001 |
| 161.6 ±41.8 | 128.7 ±38.6 | 124.5 ±39.9 | 130.8 ±36.6 | <0.001 | |
| 45.0 ±19.1 | 31.6 ±14.2 | 28.2 ±15.2 | 29.9 ±14.1 | <0.001 | |
Data presented as n (%) or mean ± standard deviation.
LVEF: left ventricular ejection fraction; eGFR: estimated glomerular filtration rate; GRACE: Global Registry of Acute Coronary Events.
Management during admission.
| Treatment category (N = 1134) | |||||
|---|---|---|---|---|---|
| NO CATH | CATH-NO REVASC | PCI | CABG | p value | |
| 0 (0%) | 256 (100%) | 629 (100%) | 124 (100%) | <0.001 | |
| | 129 (96.3%) | 252 (98.4%) | 623 (99.0%) | 123 (99.2%) | 0.088 |
| | 103 (76.9%) | 214 (83.6%) | 504 (80.5%) | 94 (75.8%) | 0.026 |
| | 96 (71.6%) | 192 (75.0%) | 490 (77.9%) | 84 (67.7%) | <0.001 |
| | 1 (0.7%) | 2 (0.8%) | 20 (3.2%) | 1 (0.8%) | <0.001 |
| | 8 (6.0%) | 32 (12.5%) | 114 (18.1%) | 21 (16.9%) | <0.001 |
| | 98 (73.1%) | 208 (81.3%) | 535 (85.1%) | 108 (87.1%) | 0.004 |
| | 94 (70.1%) | 223 (87.1%) | 544 (86.5%) | 102 (82.3%) | <0.001 |
| | 122 (91.0%) | 242 (94.5%) | 607 (96.5%) | 123 (99.2%) | 0.006 |
| | 132 (51.6%) | 0 | 0 | ||
| | 44 (17.2%) | 148 (23.5%) | 110 (94.9%) | <0.001 | |
| 437 (69.5%) | 107 (89.2%) | <0.001 | |||
| 488 (78.6%) | |||||
Data presented as n (%).
ACEI: angiotensin converting enzyme inhibitors; ARB: angiotensin II receptor blockers; DES: drug-eluting stent.
Treatment at discharge.
| Treatment category (N = 1143) | |||||
|---|---|---|---|---|---|
| NO CATH | CATH-NO REVASC | PCI | CABG | p value | |
| 120 (89.6%) | 227 (88.7%) | 624 (99.2%) | 115 (92.7%) | <0.001 | |
| | 80 (59.7%) | 155 (60.6%) | 625 (99.4%) | 43 (34.7%) | <0.001 |
| | 75 (56.0%) | 128 (50.0%) | 353 (56.1%) | 39 (31.5%) | <0.001 |
| | 0 | 1 (0.4%) | 55 (8.7%) | 0 | <0.001 |
| | 5 (3.7%) | 26 (10.2%) | 217 (34.5%) | 4 (3.2%) | <0.001 |
| | 87 (64.9%) | 178 (69.5%) | 626 (99.5%) | 46 (37.1%) | <0.001 |
| 92 (69.2%) | 187 (73.0%) | 528 (83.9%) | 111 (89.5%) | <0.001 | |
| 90 (67.2%) | 202 (78.9%) | 521 (82.8%) | 79 (63.7%) | <0.001 | |
| 122 (91.0%) | 229 (89.5%) | 608 (96.7%) | 119 (96.7%) | <0.001 | |
| 24 (17.9%) | 47 (18.4%) | 74 (11.8%) | 14 (11.3%) | 0.191 | |
Data are represented as total (%).
ACEI: angiotensin converting enzyme inhibitors; ARB: angiotensin II receptor blockers.
Medium-term events.
| Treatment category (N = 1123) | |||||
|---|---|---|---|---|---|
| NO CATH | CATH-NO REVASC | PCI | CABG | p value | |
| | 40 (30.1%) | 20 (7.9%) | 64 (10.4%) | 11 (8.9%) | <0.001 |
| | 18 (13.5%) | 7 (2.8%) | 14 (2.3%) | 2 (1.6%) | <0.001 |
| | 22 (16.5%) | 9 (3.5%) | 41 (6.7%) | 5 (4.1%) | <0.001 |
| | 0 | 4 (1.6%) | 9 (1.5%) | 4 (3.3%) | <0.001 |
| 35 (26.3%) | 11 (4.3%) | 22 (3.6%) | 5 (4.1%) | <0.001 | |
| | 17 (12.8%) | 21 (8.3%) | 72 (11.7%) | 10 (8.1%) | 0.292 |
| | 17 (12.8%) | 20 (7.9%) | 54 (8.8%) | 10 (8.1%) | 0.414 |
| | 4 (3.0%) | 6 (2.4%) | 18 (2.9%) | 5 (4.1%) | 0.839 |
| | 3 (2.3%) | 3 (1.2%) | 9 (1.5%) | 3 (2.4%) | 0.738 |
MACE: major adverse cardiovascular events (cardiovascular death, stroke and acute non-fatal myocardial infarction); BARC: Bleeding Academic Research Consortium; TIMI: thrombolysis in myocardial infarction
Fig 2Kaplan-Meier survival curves in the four predefined subgroups.
A: Kaplan-Meier survival curve for major adverse cardiovascular events (MACE: cardiovascular death, stroke and acute non-fatal myocardial infarction). Log-Rank test (Mantel-Cox); p<0.001. B: Kaplan Meier survival curve for all-cause mortality. Log-Rank test (Mantel-Cox); p<0.001. C: Kaplan Meier survival curve for BARC 3–5 bleeding events. Log-Rank test (Mantel-Cox); p = 0.846.
Independent predictors of adverse events during follow-up by Cox regression analysis.
| Events | Variables | Univariate analysis | Multivariate analysis |
|---|---|---|---|
| 1.03 (1.02–1.05); <0.001 | |||
| 1.94 (1.23–3.07); 0.002 | |||
| 1.66 (1.18–2.32); 0.003 | |||
| 2.54 (1.69–3.81); <0.001 | 1.70 (1.05, 2.73); 0.030 | ||
| 2.09 (1.36–3.24); 0.002 | |||
| 0.85 (0.79–0.91); <0.001 | |||
| 0.99 (0.98–0.99); <0.001 | |||
| 1.62 (1.29–2.02); <0.001 | 1.43 (1.08, 1.89); 0.014 | ||
| 3.74 (1.92–2.02); <0.001 | 2.72 (1.29, 5.73);0.008 | ||
| 1.08 (1.06–1.11); <0.001 | |||
| 3.08 (1.48–6.41); <0.001 | |||
| 1.55 (0.98–2.45); 0.062 | |||
| 2.59 (1.51–4.47); 0.002 | |||
| 3.03 (1.78–5.16); <0.001 | |||
| 0.71 (0.65–0.78); <0.001 | 0.87 (0.76, 0.99); 0.038 | ||
| 0.97 (0.96–0.98); <0.001 | |||
| 2.15 (1.67–2.76); <0.001 | 1.71 (1.21, 2.42); 0.003 | ||
| 7.37 (2.89–18.82); <0.001 | 2.87 (0.98, 8.39); 0.054 | ||
| 1.05 (1.02–1.08); <0.001 | |||
| 2.76 (0.96–7.76); 0.033 | |||
| 0.85 (0.42–1.72); 0.659 | |||
| 1.51 (0.58–3.92); 0.415 | |||
| 2.05 (0.85–4.97); 0.141 | |||
| 0.70 (0.61–0.81); <0.001 | 0.74 (0.61, 0.89): 0.002 | ||
| 0.98 (0.97–0.99); 0.009 | |||
| 1.39 (0.86–2.25): 0.210 | |||
| 0.77 (0.21–2.86); 0.851 | |||
MACEa: cardiovascular death, stroke and acute nonfatal myocardial infarction; eGFRb: estimated glomerular filtration rate; BARCc: Bleeding Academic Research Consortium.