Abstract

Aims

Bleeding in patients with coronary artery disease has been linked with adverse outcomes. We examined the incidence and outcomes after bleeding in 20 078 patients with acute coronary syndromes (ACS) enrolled in the OASIS-5 trial who were treated with fondaparinux or the low-molecular weight heparin, enoxaparin.

Methods and results

Nine hundred and ninety (4.9%) patients developed major bleeding and 423 (2.1%) developed minor bleeding. Fondaparinux compared with enoxaparin reduced fatal bleeding [0.07 vs. 0.22%, relative risk (RR) 0.30, 95% CI: 0.13–0.71], non-fatal major bleeding (2.2 vs. 4.2%, RR 0.52, 95% CI: 0.44–0.61), minor bleeding (1.1 vs. 3.2%, RR 0.34, 95% CI: 0.27–0.42), and need for transfusion (1.8 vs. 3.1%, RR 0.56, 95% CI: 0.47–0.61) during the first 9 days. One of every six deaths during the first 30 days occurred in patients who experienced bleeding. Cox proportional hazards model revealed that major bleeding was associated with about a four-fold increased hazard of death, myocardial infarction, or stroke during the first 30 days and about a three-fold increased hazard during 180 days of follow up.

Conclusion

Bleeding in patients with ACS is a powerful determinant of fatal and non-fatal outcomes. Reducing the risk of bleeding using a safer anticoagulant strategy during the first 9 days is associated with substantial reductions in morbidity and mortality.

Introduction

The primary goal of antithrombotic therapy in patients with acute coronary syndromes (ACS) is to prevent recurrent ischaemic events and death. Antiplatelet and anticoagulant drugs are effective for preventing myocardial infarction (MI) and death in patients with ACS but also cause bleeding.1,2 In the past, clinicians have considered bleeding to be an inevitable consequence of effective antithrombotic therapy and the avoidance of bleeding therefore received little attention. More recently, there has been increasing awareness that bleeding is associated with an increased risk of adverse outcomes, including MI, stroke, and death.3–6 Approximately 5% of patients presenting with ACS experience major bleeding during the next 30 days,3,7 and the incidence of major bleeding is higher in patients with ACS undergoing early invasive procedures.8–11 Strategies that reduce the risk of bleeding while preserving or enhancing efficacy are needed.

The Organization to Assess Ischemic Syndromes (OASIS)-5 trial demonstrated that fondaparinux compared with enoxaparin reduced major bleeding by about one-half during treatment.12 The objective of this paper was to examine the effect of fondaparinux compared with enoxaparin on different types of bleeding in the OASIS-5 trial and to examine the impact of bleeding on death and recurrent ischaemic events.

Methods

The Organization to Assess Ischemic Syndromes (OASIS)-5 trial was an international, double-blind, randomized controlled trial of 20 078 patients with non-ST-elevation ACS. The inclusion and exclusion criteria and primary efficacy and safety outcomes have been published previously.13 Briefly, patients were eligible for inclusion if they presented within 24 h after the onset of symptoms and met at least two of the three following criteria: an age of at least 60 years, an elevated level of troponin or creatine kinase MB isoenzyme, or electrocardiographic changes indicative of ischaemia. Patients with contraindications to low-molecular weight heparin, recent haemorrhagic stroke, indications for anticoagulation other than an ACS, or a serum creatinine level of at least 3 mg/dL (265 µmol/L) were excluded.

Patients were randomized to receive subcutaneous fondaparinux 2.5 mg o.d. or subcutaneous enoxaparin, 1 mg/kg b.i.d. In patients whose creatinine clearance <30 mL/min, the dose of enoxaparin was reduced to 1 mg/kg o.d.

Fondaparinux was given until hospital discharge or for up to 8 days (whichever occurred first). Enoxaparin was given for 2–8 days or until the patient was in clinically stable condition, which is in accordance with its approved North American labelling for the management of patients with unstable angina and MI without ST-segment elevation.

The primary efficacy outcome was the composite, death, MI, or refractory ischaemia. Information on strokes was also systematically collected. The primary safety outcome was major bleeding. The primary efficacy and safety outcomes were adjudicated in a blinded fashion by a committee. Patients were followed for up to 6 months (180 days).

Definition of major bleeding

Bleeding was defined according to the criteria used in the Efficacy and Safety of Subcutaneous Enoxaparin in Non-Q-Wave Coronary Events (ESSENCE) trial.14,15 The use of this definition was mandated by the Food and Drug Administration because enoxaparin was approved for the management of ACS based on the results of the ESSENCE trial. Thus, major bleeding was defined as clinically overt bleeding that was fatal (bleeding reported to cause death), symptomatic intracranial haemorrhage, retroperitoneal haemorrhage, intraocular haemorrhage leading to significant vision loss, a decrease in haemoglobin of at least 3.0 g/dL (with each blood transfusion unit counting for 1.0 g/dL of haemoglobin), or bleeding requiring transfusion of two or more units of red blood cells or equivalent of whole blood. All other clinically significant bleeding not meeting the definition for major bleeding and which led to interruption of the study drug for at least 24 h, surgical intervention, or transfusion of not more than one unit of blood was defined as minor bleeding.14,15 If a patient experienced both major and minor bleeding we only considered the most serious bleed.

Statistical analysis

All the analyses were performed using SAS software, version 9.1 (SAS Institute Inc., Cary, NC, USA).

The incidence, severity [fatal, major (excluding fatal), minor], and sites of bleeding were compared in patients randomized to receive fondaparinux compared with enoxaparin.

Baseline characteristics among patients who developed bleeding compared with those who did not develop bleeding were compared using a χ2 test for categorical variables and a t-test for continuous variables.

We developed several statistical models to explore the association between bleeding and outcome in the overall study population and in patients randomized to receive fondaparinux compared with enoxaparin. The first model examined a patient's propensity to major bleeding using logistic regression, incorporating both baseline characteristics and co-interventions associated with major bleeding as independent variables and bleeding as the dependent variable. We included the following variables: treatment allocation, age, sex, clinical diagnosis, heart rate, systolic blood pressure, creatinine, body mass index, ST segment shift on the presenting electrocardiogram, haemoglobin, baseline antithrombotic drug use, interventions prior to bleeding, smoking status, history of diabetes, history of hypertension, history of cancer, prior stroke, prior MI, prior peripheral artery disease, prior percutaneous coronary intervention (PCI), and prior coronary artery bypass graft (CABG) surgery. We included interactions and higher order terms in the model. In the subsequent models, we examined the association between major bleeding and minor bleeding and MI, stroke, and death using Cox regression after graphically testing the assumption of proportionality. The propensity score was included in these models as a linear term. We only included co-interventions that were used prior to bleeding and outcomes that occurred after bleeding. Major and minor bleeding were incorporated as time-dependent covariates to account for survival bias and for the possibility that timing of bleeding relative to an outcome may be important (for example, bleeding that occurs after a non-fatal outcome). A two-sided P-value of 0.05 was considered statistically significant.

Results

These analyses included 20 078 patients enrolled in the OASIS-5 trial, of whom 990 (4.9%) developed major (including fatal) bleeding and 423 (2.1%) developed minor bleeding during follow-up to 180 days.

Bleeding outcomes according to randomized treatment allocation

Bleeding outcomes in the OASIS-5 trial are summarized in Table 1 and the cumulative hazard of different categories of bleeding is presented in Figure 1.

Figure 1

Cumulative hazard of the occurrence of fatal bleeding, non-fatal major bleeding, and minor bleeding.

Table 1

Bleeding according to randomized treatment allocation

Fondaparinux (n = 10 057)Enoxaparin (n = 10 021)RR (95% CI)P-value
At 9 days
Type of bleedingFatal (n = 29)7 (0.07%)22 (0.22%)0.30 (0.13–0.71)0.004
Intracranial (n = 17)7 (0.07%)10 (0.10%)0.67 (0.26–1.76)0.41
Other major (n = 630)218 (2.2%)412 (4.2%)0.52 (0.44–0.61)<0.001
Minor (n = 418)108 (1.1%)310 (3.2%)0.34 (0.27–0.42)<0.001
TransfusionAny transfusion (n = 491)177 (1.8%)314 (3.1%)0.56 (0.47–0.67)<0.001
At least two units (n = 435)159 (1.6%)276 (2.8%)0.57 (0.47–0.70)<0.001
SiteGastrointestinal (n = 135)48 (0.5%)87 (0.9%)0.53 (0.37–0.75)<0.001
Retroperitoneal (n = 42)8 (0.08%)34 (0.34%)0.22 (0.10–0.49)<0.001
Puncture site (n = 480)109 (1.4%)371 (4.1%)0.29 (0.23–0.36)<0.001
Surgical (n = 146)72 (0.7%)74 (0.8%)0.93 (0.67–1.28)0.66
CABG (n = 159)86 (0.9%)73 (0.8%)1.12 (0.82–1.53)0.46
Non-CABG (n = 889)240 (2.4%)649 (6.5%)0.37 (0.32–0.43)<0.001

At 180 days
Type of bleedingFatal (n = 53)20 (0.2%)33 (0.4%)0.58 (0.33–1.02)0.053
Intracranial (n = 31)15 (0.2%)16 (0.2%)0.90 (0.44–1.82)0.77
Other major (n = 937)400 (4.0%)537 (5.4%)0.73 (0.64–0.82)<0.001
Minor (n = 423)115 (1.2%)308 (3.3%)0.37 (0.30–0.45)<0.001
TransfusionAny transfusion (n = 765)336 (3.3%)429 (4.3%)0.78 (0.67–0.90)0.001
At least two units (n = 308)305 (3.0%)380 (3.8%)0.80 (0.69–0.93)0.003
SiteGastrointestinal (n = 256)122 (1.3%)134 (1.4%)0.88 (0.69–1.12)0.29
Retroperitoneal (n = 49)12 (0.1%)37 (0.4%)0.32 (0.17–0.62)<0.001
Puncture site (n = 526)134 (1.4%)392 (4.1%)0.34 (0.28–0.41)<0.001
CABG (n = 299)168 (1.7%)131 (1.4%)1.23 (0.98–1.54)0.08
Non-CABG (n = 1114)367 (3.7%)747 (7.6%)0.49 (0.44–0.56)<0.001
Fondaparinux (n = 10 057)Enoxaparin (n = 10 021)RR (95% CI)P-value
At 9 days
Type of bleedingFatal (n = 29)7 (0.07%)22 (0.22%)0.30 (0.13–0.71)0.004
Intracranial (n = 17)7 (0.07%)10 (0.10%)0.67 (0.26–1.76)0.41
Other major (n = 630)218 (2.2%)412 (4.2%)0.52 (0.44–0.61)<0.001
Minor (n = 418)108 (1.1%)310 (3.2%)0.34 (0.27–0.42)<0.001
TransfusionAny transfusion (n = 491)177 (1.8%)314 (3.1%)0.56 (0.47–0.67)<0.001
At least two units (n = 435)159 (1.6%)276 (2.8%)0.57 (0.47–0.70)<0.001
SiteGastrointestinal (n = 135)48 (0.5%)87 (0.9%)0.53 (0.37–0.75)<0.001
Retroperitoneal (n = 42)8 (0.08%)34 (0.34%)0.22 (0.10–0.49)<0.001
Puncture site (n = 480)109 (1.4%)371 (4.1%)0.29 (0.23–0.36)<0.001
Surgical (n = 146)72 (0.7%)74 (0.8%)0.93 (0.67–1.28)0.66
CABG (n = 159)86 (0.9%)73 (0.8%)1.12 (0.82–1.53)0.46
Non-CABG (n = 889)240 (2.4%)649 (6.5%)0.37 (0.32–0.43)<0.001

At 180 days
Type of bleedingFatal (n = 53)20 (0.2%)33 (0.4%)0.58 (0.33–1.02)0.053
Intracranial (n = 31)15 (0.2%)16 (0.2%)0.90 (0.44–1.82)0.77
Other major (n = 937)400 (4.0%)537 (5.4%)0.73 (0.64–0.82)<0.001
Minor (n = 423)115 (1.2%)308 (3.3%)0.37 (0.30–0.45)<0.001
TransfusionAny transfusion (n = 765)336 (3.3%)429 (4.3%)0.78 (0.67–0.90)0.001
At least two units (n = 308)305 (3.0%)380 (3.8%)0.80 (0.69–0.93)0.003
SiteGastrointestinal (n = 256)122 (1.3%)134 (1.4%)0.88 (0.69–1.12)0.29
Retroperitoneal (n = 49)12 (0.1%)37 (0.4%)0.32 (0.17–0.62)<0.001
Puncture site (n = 526)134 (1.4%)392 (4.1%)0.34 (0.28–0.41)<0.001
CABG (n = 299)168 (1.7%)131 (1.4%)1.23 (0.98–1.54)0.08
Non-CABG (n = 1114)367 (3.7%)747 (7.6%)0.49 (0.44–0.56)<0.001
Table 1

Bleeding according to randomized treatment allocation

Fondaparinux (n = 10 057)Enoxaparin (n = 10 021)RR (95% CI)P-value
At 9 days
Type of bleedingFatal (n = 29)7 (0.07%)22 (0.22%)0.30 (0.13–0.71)0.004
Intracranial (n = 17)7 (0.07%)10 (0.10%)0.67 (0.26–1.76)0.41
Other major (n = 630)218 (2.2%)412 (4.2%)0.52 (0.44–0.61)<0.001
Minor (n = 418)108 (1.1%)310 (3.2%)0.34 (0.27–0.42)<0.001
TransfusionAny transfusion (n = 491)177 (1.8%)314 (3.1%)0.56 (0.47–0.67)<0.001
At least two units (n = 435)159 (1.6%)276 (2.8%)0.57 (0.47–0.70)<0.001
SiteGastrointestinal (n = 135)48 (0.5%)87 (0.9%)0.53 (0.37–0.75)<0.001
Retroperitoneal (n = 42)8 (0.08%)34 (0.34%)0.22 (0.10–0.49)<0.001
Puncture site (n = 480)109 (1.4%)371 (4.1%)0.29 (0.23–0.36)<0.001
Surgical (n = 146)72 (0.7%)74 (0.8%)0.93 (0.67–1.28)0.66
CABG (n = 159)86 (0.9%)73 (0.8%)1.12 (0.82–1.53)0.46
Non-CABG (n = 889)240 (2.4%)649 (6.5%)0.37 (0.32–0.43)<0.001

At 180 days
Type of bleedingFatal (n = 53)20 (0.2%)33 (0.4%)0.58 (0.33–1.02)0.053
Intracranial (n = 31)15 (0.2%)16 (0.2%)0.90 (0.44–1.82)0.77
Other major (n = 937)400 (4.0%)537 (5.4%)0.73 (0.64–0.82)<0.001
Minor (n = 423)115 (1.2%)308 (3.3%)0.37 (0.30–0.45)<0.001
TransfusionAny transfusion (n = 765)336 (3.3%)429 (4.3%)0.78 (0.67–0.90)0.001
At least two units (n = 308)305 (3.0%)380 (3.8%)0.80 (0.69–0.93)0.003
SiteGastrointestinal (n = 256)122 (1.3%)134 (1.4%)0.88 (0.69–1.12)0.29
Retroperitoneal (n = 49)12 (0.1%)37 (0.4%)0.32 (0.17–0.62)<0.001
Puncture site (n = 526)134 (1.4%)392 (4.1%)0.34 (0.28–0.41)<0.001
CABG (n = 299)168 (1.7%)131 (1.4%)1.23 (0.98–1.54)0.08
Non-CABG (n = 1114)367 (3.7%)747 (7.6%)0.49 (0.44–0.56)<0.001
Fondaparinux (n = 10 057)Enoxaparin (n = 10 021)RR (95% CI)P-value
At 9 days
Type of bleedingFatal (n = 29)7 (0.07%)22 (0.22%)0.30 (0.13–0.71)0.004
Intracranial (n = 17)7 (0.07%)10 (0.10%)0.67 (0.26–1.76)0.41
Other major (n = 630)218 (2.2%)412 (4.2%)0.52 (0.44–0.61)<0.001
Minor (n = 418)108 (1.1%)310 (3.2%)0.34 (0.27–0.42)<0.001
TransfusionAny transfusion (n = 491)177 (1.8%)314 (3.1%)0.56 (0.47–0.67)<0.001
At least two units (n = 435)159 (1.6%)276 (2.8%)0.57 (0.47–0.70)<0.001
SiteGastrointestinal (n = 135)48 (0.5%)87 (0.9%)0.53 (0.37–0.75)<0.001
Retroperitoneal (n = 42)8 (0.08%)34 (0.34%)0.22 (0.10–0.49)<0.001
Puncture site (n = 480)109 (1.4%)371 (4.1%)0.29 (0.23–0.36)<0.001
Surgical (n = 146)72 (0.7%)74 (0.8%)0.93 (0.67–1.28)0.66
CABG (n = 159)86 (0.9%)73 (0.8%)1.12 (0.82–1.53)0.46
Non-CABG (n = 889)240 (2.4%)649 (6.5%)0.37 (0.32–0.43)<0.001

At 180 days
Type of bleedingFatal (n = 53)20 (0.2%)33 (0.4%)0.58 (0.33–1.02)0.053
Intracranial (n = 31)15 (0.2%)16 (0.2%)0.90 (0.44–1.82)0.77
Other major (n = 937)400 (4.0%)537 (5.4%)0.73 (0.64–0.82)<0.001
Minor (n = 423)115 (1.2%)308 (3.3%)0.37 (0.30–0.45)<0.001
TransfusionAny transfusion (n = 765)336 (3.3%)429 (4.3%)0.78 (0.67–0.90)0.001
At least two units (n = 308)305 (3.0%)380 (3.8%)0.80 (0.69–0.93)0.003
SiteGastrointestinal (n = 256)122 (1.3%)134 (1.4%)0.88 (0.69–1.12)0.29
Retroperitoneal (n = 49)12 (0.1%)37 (0.4%)0.32 (0.17–0.62)<0.001
Puncture site (n = 526)134 (1.4%)392 (4.1%)0.34 (0.28–0.41)<0.001
CABG (n = 299)168 (1.7%)131 (1.4%)1.23 (0.98–1.54)0.08
Non-CABG (n = 1114)367 (3.7%)747 (7.6%)0.49 (0.44–0.56)<0.001

Fondaparinux compared with enoxaparin reduced fatal bleeding, non-fatal major bleeding, and minor bleeding, as well as the need for transfusion during the first 9 days. Gastrointestinal, retroperitoneal, and puncture site bleeding were also significantly reduced (Table 1).

The incidence of major (excluding fatal) bleeding over the whole study period (up to 180 days) was significantly lower in patients randomized to fondaparinux compared with enoxaparin [400/10 057 (4.0%) vs. 537/10 021 (5.4%), relative risk (RR) 0.73; 95% CI 0.64–0.82, P < 0.0001]. Similar reductions in bleeding were observed throughout the study period with fondaparinux compared with enoxaparin for the categories of fatal bleeding [20/10 057 (0.20%) vs. 33/10 021 (0.4%), RR 0.58, 95% CI: 0.22–1.02, P = 0.053] and minor bleeding [115/10 057 (1.2%) vs. 308/10 021 (3.3%), RR 0.37; 95% CI 0.30–0.45, P < 0.0001], and for TIMI major bleeding (data not shown). There was also a significant reduction in the need for transfusion [336/10 057 (3.3%) vs. 429/10 021 (4.3%), RR 0.78, 95% CI 0.67–0.90] throughout the study period.

Baseline characteristics in patients who developed bleeding and in those who did not develop bleeding

Baseline patient characteristics and co-interventions in patients who developed fatal, major (excluding fatal), or minor bleeding and in those who did not develop bleeding are summarized and compared in Table 2.

Table 2

Baseline characteristics and co-interventions among patients who developed fatal, major (excluding fatal), minor, or no bleeding during the study

CharacteristicsFatal (n = 53)Other major (n = 937)Minor (n = 423)All bleeds (n = 1413)No bleed (n = 18665)P-value (bleed vs. no bleed)
Demographics
 Age (years), mean (SD)72.4 (8.5)70.2 (9.8)69.5 (10.6)70.1 (10.0)66.3 (10.9)<0.001
 Male sex, n (%)32 (60.4%)524 (55.9%)260 (61.5%)816 (57.8%)11563 (62.0%)<0.001

Prior history
 Diabetes, n (%)17 (32.1%)287 (30.6%)112 (26.5%)416 (29.5%)4662 (25.0%)<0.001
 Hypertension, n (%)42 (79.2%)668 (71.3%)297 (70.2%)1007 (71.3%)12491 (66.9%)0.001
 MI, n (%)16 (30.2%)239 (25.5%)109 (25.8%)364 (25.8%)4800 (25.7%)0.96
 Stroke, n (%)9 (17.0%)66 (7.0%)29 (6.9%)104 (7.4%)1140 (6.1%)0.06

Clinical
 Systolic BP, mean (SD)138.8 (24.2)136.4 (23.5)138.9 (23.6)137.2 (23.6)136.4 (22.3)0.17
 Diastolic BP, mean (SD)77.7 (15.0)76.4 (14.3)78.5 (14.6)77.1 (14.4)78.2 (13.6)0.002
 Killip Class 3/4, n (%)4 (7.6%)19 (2.0%)5 (1.2%)28 (2.0)164 (0.9%)<0.001
 Haemoglobin, mean (SD)13.6 (2.0)13.2 (1.8)13.5 (1.7)13.3 (1.8)13.7 (1.7)<0.001
 Creatinine (µmol/L), mean (SD)102.6 (31.1)101.9 (35.3)101.6 (36.1)101.9 (35.4)93.6 (29.0)<0.001
 Creatinine clearance (mL/min)63.6 (27.8)64.5 (26.5)68.7 (30.9)65.7 (28.0)76.6 (30.7)<0.001

Co-interventionsa
 Aspirin, n (%)50 (94.3%)908 (96.9%)412 (97.4%)1369 (97.0%)18206 (97.5%)0.17
 Thienopyridines, n (%)35 (66.0%)687 (73.3%)338 (79.9%)1059 (75.0%)12472 (66.8%)<0.001
 Intravenous UFH, n (%)19 (35.8%)259 (27.6%)66 (15.6%)343 (24.3%)2477 (13.3%)<0.001
 Angiogram or PCI, n (%)34 (64.2%)745 (79.5%)295 (69.7%)1073 (76.0%)13198 (70.1%)<0.001
 CABG, n (%)12 (22.6%)232 (24.8%)6 (1.4%)250 (17.7%)2484 (13.3%)<0.001
CharacteristicsFatal (n = 53)Other major (n = 937)Minor (n = 423)All bleeds (n = 1413)No bleed (n = 18665)P-value (bleed vs. no bleed)
Demographics
 Age (years), mean (SD)72.4 (8.5)70.2 (9.8)69.5 (10.6)70.1 (10.0)66.3 (10.9)<0.001
 Male sex, n (%)32 (60.4%)524 (55.9%)260 (61.5%)816 (57.8%)11563 (62.0%)<0.001

Prior history
 Diabetes, n (%)17 (32.1%)287 (30.6%)112 (26.5%)416 (29.5%)4662 (25.0%)<0.001
 Hypertension, n (%)42 (79.2%)668 (71.3%)297 (70.2%)1007 (71.3%)12491 (66.9%)0.001
 MI, n (%)16 (30.2%)239 (25.5%)109 (25.8%)364 (25.8%)4800 (25.7%)0.96
 Stroke, n (%)9 (17.0%)66 (7.0%)29 (6.9%)104 (7.4%)1140 (6.1%)0.06

Clinical
 Systolic BP, mean (SD)138.8 (24.2)136.4 (23.5)138.9 (23.6)137.2 (23.6)136.4 (22.3)0.17
 Diastolic BP, mean (SD)77.7 (15.0)76.4 (14.3)78.5 (14.6)77.1 (14.4)78.2 (13.6)0.002
 Killip Class 3/4, n (%)4 (7.6%)19 (2.0%)5 (1.2%)28 (2.0)164 (0.9%)<0.001
 Haemoglobin, mean (SD)13.6 (2.0)13.2 (1.8)13.5 (1.7)13.3 (1.8)13.7 (1.7)<0.001
 Creatinine (µmol/L), mean (SD)102.6 (31.1)101.9 (35.3)101.6 (36.1)101.9 (35.4)93.6 (29.0)<0.001
 Creatinine clearance (mL/min)63.6 (27.8)64.5 (26.5)68.7 (30.9)65.7 (28.0)76.6 (30.7)<0.001

Co-interventionsa
 Aspirin, n (%)50 (94.3%)908 (96.9%)412 (97.4%)1369 (97.0%)18206 (97.5%)0.17
 Thienopyridines, n (%)35 (66.0%)687 (73.3%)338 (79.9%)1059 (75.0%)12472 (66.8%)<0.001
 Intravenous UFH, n (%)19 (35.8%)259 (27.6%)66 (15.6%)343 (24.3%)2477 (13.3%)<0.001
 Angiogram or PCI, n (%)34 (64.2%)745 (79.5%)295 (69.7%)1073 (76.0%)13198 (70.1%)<0.001
 CABG, n (%)12 (22.6%)232 (24.8%)6 (1.4%)250 (17.7%)2484 (13.3%)<0.001

CABG, coronary artery bypass graft surgery; PCI, percutaneous coronary intervention; UFH, unfractionated heparin; BP, blood pressure; MI, myocardial infarction.

aIncludes only co-interventions prior to bleeding.

Table 2

Baseline characteristics and co-interventions among patients who developed fatal, major (excluding fatal), minor, or no bleeding during the study

CharacteristicsFatal (n = 53)Other major (n = 937)Minor (n = 423)All bleeds (n = 1413)No bleed (n = 18665)P-value (bleed vs. no bleed)
Demographics
 Age (years), mean (SD)72.4 (8.5)70.2 (9.8)69.5 (10.6)70.1 (10.0)66.3 (10.9)<0.001
 Male sex, n (%)32 (60.4%)524 (55.9%)260 (61.5%)816 (57.8%)11563 (62.0%)<0.001

Prior history
 Diabetes, n (%)17 (32.1%)287 (30.6%)112 (26.5%)416 (29.5%)4662 (25.0%)<0.001
 Hypertension, n (%)42 (79.2%)668 (71.3%)297 (70.2%)1007 (71.3%)12491 (66.9%)0.001
 MI, n (%)16 (30.2%)239 (25.5%)109 (25.8%)364 (25.8%)4800 (25.7%)0.96
 Stroke, n (%)9 (17.0%)66 (7.0%)29 (6.9%)104 (7.4%)1140 (6.1%)0.06

Clinical
 Systolic BP, mean (SD)138.8 (24.2)136.4 (23.5)138.9 (23.6)137.2 (23.6)136.4 (22.3)0.17
 Diastolic BP, mean (SD)77.7 (15.0)76.4 (14.3)78.5 (14.6)77.1 (14.4)78.2 (13.6)0.002
 Killip Class 3/4, n (%)4 (7.6%)19 (2.0%)5 (1.2%)28 (2.0)164 (0.9%)<0.001
 Haemoglobin, mean (SD)13.6 (2.0)13.2 (1.8)13.5 (1.7)13.3 (1.8)13.7 (1.7)<0.001
 Creatinine (µmol/L), mean (SD)102.6 (31.1)101.9 (35.3)101.6 (36.1)101.9 (35.4)93.6 (29.0)<0.001
 Creatinine clearance (mL/min)63.6 (27.8)64.5 (26.5)68.7 (30.9)65.7 (28.0)76.6 (30.7)<0.001

Co-interventionsa
 Aspirin, n (%)50 (94.3%)908 (96.9%)412 (97.4%)1369 (97.0%)18206 (97.5%)0.17
 Thienopyridines, n (%)35 (66.0%)687 (73.3%)338 (79.9%)1059 (75.0%)12472 (66.8%)<0.001
 Intravenous UFH, n (%)19 (35.8%)259 (27.6%)66 (15.6%)343 (24.3%)2477 (13.3%)<0.001
 Angiogram or PCI, n (%)34 (64.2%)745 (79.5%)295 (69.7%)1073 (76.0%)13198 (70.1%)<0.001
 CABG, n (%)12 (22.6%)232 (24.8%)6 (1.4%)250 (17.7%)2484 (13.3%)<0.001
CharacteristicsFatal (n = 53)Other major (n = 937)Minor (n = 423)All bleeds (n = 1413)No bleed (n = 18665)P-value (bleed vs. no bleed)
Demographics
 Age (years), mean (SD)72.4 (8.5)70.2 (9.8)69.5 (10.6)70.1 (10.0)66.3 (10.9)<0.001
 Male sex, n (%)32 (60.4%)524 (55.9%)260 (61.5%)816 (57.8%)11563 (62.0%)<0.001

Prior history
 Diabetes, n (%)17 (32.1%)287 (30.6%)112 (26.5%)416 (29.5%)4662 (25.0%)<0.001
 Hypertension, n (%)42 (79.2%)668 (71.3%)297 (70.2%)1007 (71.3%)12491 (66.9%)0.001
 MI, n (%)16 (30.2%)239 (25.5%)109 (25.8%)364 (25.8%)4800 (25.7%)0.96
 Stroke, n (%)9 (17.0%)66 (7.0%)29 (6.9%)104 (7.4%)1140 (6.1%)0.06

Clinical
 Systolic BP, mean (SD)138.8 (24.2)136.4 (23.5)138.9 (23.6)137.2 (23.6)136.4 (22.3)0.17
 Diastolic BP, mean (SD)77.7 (15.0)76.4 (14.3)78.5 (14.6)77.1 (14.4)78.2 (13.6)0.002
 Killip Class 3/4, n (%)4 (7.6%)19 (2.0%)5 (1.2%)28 (2.0)164 (0.9%)<0.001
 Haemoglobin, mean (SD)13.6 (2.0)13.2 (1.8)13.5 (1.7)13.3 (1.8)13.7 (1.7)<0.001
 Creatinine (µmol/L), mean (SD)102.6 (31.1)101.9 (35.3)101.6 (36.1)101.9 (35.4)93.6 (29.0)<0.001
 Creatinine clearance (mL/min)63.6 (27.8)64.5 (26.5)68.7 (30.9)65.7 (28.0)76.6 (30.7)<0.001

Co-interventionsa
 Aspirin, n (%)50 (94.3%)908 (96.9%)412 (97.4%)1369 (97.0%)18206 (97.5%)0.17
 Thienopyridines, n (%)35 (66.0%)687 (73.3%)338 (79.9%)1059 (75.0%)12472 (66.8%)<0.001
 Intravenous UFH, n (%)19 (35.8%)259 (27.6%)66 (15.6%)343 (24.3%)2477 (13.3%)<0.001
 Angiogram or PCI, n (%)34 (64.2%)745 (79.5%)295 (69.7%)1073 (76.0%)13198 (70.1%)<0.001
 CABG, n (%)12 (22.6%)232 (24.8%)6 (1.4%)250 (17.7%)2484 (13.3%)<0.001

CABG, coronary artery bypass graft surgery; PCI, percutaneous coronary intervention; UFH, unfractionated heparin; BP, blood pressure; MI, myocardial infarction.

aIncludes only co-interventions prior to bleeding.

Patients who developed bleeding were older and more likely to be female; were more likely to have a history of diabetes, hypertension, stroke, or peripheral arterial disease; and were more likely to have heart failure, have a higher creatinine level, lower baseline haemoglobin level, or ST-segment changes on the electrocardiogram at presentation. Patients with bleeding were also more likely to be treated with a thienopyridine (clopidogrel or ticlopidine), a glycoprotein IIb/IIIa inhibitor, or intravenous unfractionated heparin; and were more likely to undergo coronary angiography or PCI, or to undergo CABG surgery prior to the bleed.

Occurrence of deaths and ischaemic events in relation to bleeding

During the first 30 days, approximately one in six of all deaths occurred in patients who experienced bleeding (minor or major). Two-thirds (66.7%) of the 57 excess deaths in patients treated with enoxaparin compared with fondaparinux occurred in patients who experienced bleeding (Table 3).

Table 3

Relation between bleeding during the first 9 days and outcomes at 30 and 180 days

Number of deaths at 30 days
Patients withFondaparinux (n = 295)Enoxaparin (n = 352)Difference (n = 57)
Fatal bleeding*72114
Major bleeding203515
Minor bleeding10199
Any bleeding37 (12.5%)75 (21.3%)38 (66.7%)

Number of death/MI/stroke at 30 days
Patients withFondaparinux (n = 671)Enoxaparin (n = 752)Difference (n = 81)
Fatal bleeding*72114
Major bleeding567721
Minor bleeding134330
Any bleeding76 (11.3%)141 (18.8%)65 (61.7%)

Number of deaths at 180 days
Patients withFondaparinux (n = 574)Enoxaparin (n = 638)Difference (n = 64)
Fatal bleeding72215
Major bleeding315726
Minor bleeding133320
Any bleeding51 (8.9%)112 (17.6%)61 (95.3%)

Number of death/MI/stroke at 180 days
Patients withFondaparinux (n = 1113)Enoxaparin (n = 1234)Difference (n = 121)
Fatal bleeding72215
Major bleeding6710235
Minor bleeding166650
Any bleeding90 (8.1%)190 (15.4%)100 (82.6%)
Number of deaths at 30 days
Patients withFondaparinux (n = 295)Enoxaparin (n = 352)Difference (n = 57)
Fatal bleeding*72114
Major bleeding203515
Minor bleeding10199
Any bleeding37 (12.5%)75 (21.3%)38 (66.7%)

Number of death/MI/stroke at 30 days
Patients withFondaparinux (n = 671)Enoxaparin (n = 752)Difference (n = 81)
Fatal bleeding*72114
Major bleeding567721
Minor bleeding134330
Any bleeding76 (11.3%)141 (18.8%)65 (61.7%)

Number of deaths at 180 days
Patients withFondaparinux (n = 574)Enoxaparin (n = 638)Difference (n = 64)
Fatal bleeding72215
Major bleeding315726
Minor bleeding133320
Any bleeding51 (8.9%)112 (17.6%)61 (95.3%)

Number of death/MI/stroke at 180 days
Patients withFondaparinux (n = 1113)Enoxaparin (n = 1234)Difference (n = 121)
Fatal bleeding72215
Major bleeding6710235
Minor bleeding166650
Any bleeding90 (8.1%)190 (15.4%)100 (82.6%)

*One bleed during the first 9 days was reported as fatal but death did not occur until after 30 days.

Table 3

Relation between bleeding during the first 9 days and outcomes at 30 and 180 days

Number of deaths at 30 days
Patients withFondaparinux (n = 295)Enoxaparin (n = 352)Difference (n = 57)
Fatal bleeding*72114
Major bleeding203515
Minor bleeding10199
Any bleeding37 (12.5%)75 (21.3%)38 (66.7%)

Number of death/MI/stroke at 30 days
Patients withFondaparinux (n = 671)Enoxaparin (n = 752)Difference (n = 81)
Fatal bleeding*72114
Major bleeding567721
Minor bleeding134330
Any bleeding76 (11.3%)141 (18.8%)65 (61.7%)

Number of deaths at 180 days
Patients withFondaparinux (n = 574)Enoxaparin (n = 638)Difference (n = 64)
Fatal bleeding72215
Major bleeding315726
Minor bleeding133320
Any bleeding51 (8.9%)112 (17.6%)61 (95.3%)

Number of death/MI/stroke at 180 days
Patients withFondaparinux (n = 1113)Enoxaparin (n = 1234)Difference (n = 121)
Fatal bleeding72215
Major bleeding6710235
Minor bleeding166650
Any bleeding90 (8.1%)190 (15.4%)100 (82.6%)
Number of deaths at 30 days
Patients withFondaparinux (n = 295)Enoxaparin (n = 352)Difference (n = 57)
Fatal bleeding*72114
Major bleeding203515
Minor bleeding10199
Any bleeding37 (12.5%)75 (21.3%)38 (66.7%)

Number of death/MI/stroke at 30 days
Patients withFondaparinux (n = 671)Enoxaparin (n = 752)Difference (n = 81)
Fatal bleeding*72114
Major bleeding567721
Minor bleeding134330
Any bleeding76 (11.3%)141 (18.8%)65 (61.7%)

Number of deaths at 180 days
Patients withFondaparinux (n = 574)Enoxaparin (n = 638)Difference (n = 64)
Fatal bleeding72215
Major bleeding315726
Minor bleeding133320
Any bleeding51 (8.9%)112 (17.6%)61 (95.3%)

Number of death/MI/stroke at 180 days
Patients withFondaparinux (n = 1113)Enoxaparin (n = 1234)Difference (n = 121)
Fatal bleeding72215
Major bleeding6710235
Minor bleeding166650
Any bleeding90 (8.1%)190 (15.4%)100 (82.6%)

*One bleed during the first 9 days was reported as fatal but death did not occur until after 30 days.

During the 180 days of study follow-up, approximately one in eight of all deaths occurred in patients who experienced bleeding during the first 9 days. More than 90% of the 64 excess deaths in patients treated with enoxaparin compared with fondaparinux occurred in patients who experienced bleeding during the first 9 days (Table 3).

Examination of the association between the composite outcome death/MI/stroke and bleeding revealed a similar pattern: During the first 30 days, approximately one in seven of the composite outcome death/MI/stroke occurred in patients who experienced bleeding, and during 180 days of study follow-up approximately one in nine of these events occurred in patients who experienced bleeding during the first 9 days (Table 3).

Association between bleeding and death or recurrent ischaemic events

The associations between major (non-fatal) or minor bleeding and the composite outcome death/MI/stroke or individual components of this outcome at 30 and 180 days are summarized in Table 4.

Table 4

Cox regression model of major and minor bleeding as time-dependent risk factors for death, myocardial infarction, or stroke at 30 and 180 days adjusted for baseline characteristics and bleeding propensity

Major bleeding, n (%)No bleeding, n (%)HR (95% CI)P-value
30 daysn = 771n = 18851
 Death/MI/Stroke168 (21.8%)1160 (6.2%)3.99 (3.30–4.82)<0.0001
 MI60 (8.3%)630 (3.4%)4.39 (3.45–5.59)<0.0001
 Stroke22 (3.0%)125 (0.7%)4.66 (2.83–7.65)<0.0001
 Death65 (8.4%)517 (2.7%)3.46 (2.60–4.60)<0.0001

180 daysn = 937n = 18665
 Death/MI/Stroke276 (29.7%)1940 (10.6%)2.97 (2.55–3.45)<0.0001
 MI79 (9.2%)1022 (5.7%)2.63 (2.13–3.25)<0.0001
 Stroke42 (4.9%)212 (1.2%)4.25 (2.93–6.15)<0.0001
 Death132 (14.3%)985 (5.4%)3.11 (2.55–3.79)<0.0001

Minor bleeding, n (%)No bleeding, n (%)HR (95% CI)P-value

30 daysn = 417n = 18851
 Death/MI/Stroke57 (13.7%)1160 (6.2%)1.89 (1.37–2.61)0.0001
 MI17 (4.3%)630 (3.4%)1.68 (1.06–2.66)0.03
 Stroke4 (1.0%)125 (0.7%)2.09 (0.85–5.18)0.11
 Death28 (6.7%)517 (2.7%)2.01 (1.32–3.06)0.001

180 daysn = 423n = 18665
 Death/MI/Stroke78 (18.7%)1940 (10.6%)1.54 (1.18–1.99)0.001
 MI27 (6.9%)1022 (5.7%)1.40 (0.96–2.05)0.08
 Stroke6 (1.5%)212 (1.2%)1.52 (0.71–3.25)0.28
 Death42 (10.1%)985 (5.4%)1.54 (1.10–2.16)0.01
Major bleeding, n (%)No bleeding, n (%)HR (95% CI)P-value
30 daysn = 771n = 18851
 Death/MI/Stroke168 (21.8%)1160 (6.2%)3.99 (3.30–4.82)<0.0001
 MI60 (8.3%)630 (3.4%)4.39 (3.45–5.59)<0.0001
 Stroke22 (3.0%)125 (0.7%)4.66 (2.83–7.65)<0.0001
 Death65 (8.4%)517 (2.7%)3.46 (2.60–4.60)<0.0001

180 daysn = 937n = 18665
 Death/MI/Stroke276 (29.7%)1940 (10.6%)2.97 (2.55–3.45)<0.0001
 MI79 (9.2%)1022 (5.7%)2.63 (2.13–3.25)<0.0001
 Stroke42 (4.9%)212 (1.2%)4.25 (2.93–6.15)<0.0001
 Death132 (14.3%)985 (5.4%)3.11 (2.55–3.79)<0.0001

Minor bleeding, n (%)No bleeding, n (%)HR (95% CI)P-value

30 daysn = 417n = 18851
 Death/MI/Stroke57 (13.7%)1160 (6.2%)1.89 (1.37–2.61)0.0001
 MI17 (4.3%)630 (3.4%)1.68 (1.06–2.66)0.03
 Stroke4 (1.0%)125 (0.7%)2.09 (0.85–5.18)0.11
 Death28 (6.7%)517 (2.7%)2.01 (1.32–3.06)0.001

180 daysn = 423n = 18665
 Death/MI/Stroke78 (18.7%)1940 (10.6%)1.54 (1.18–1.99)0.001
 MI27 (6.9%)1022 (5.7%)1.40 (0.96–2.05)0.08
 Stroke6 (1.5%)212 (1.2%)1.52 (0.71–3.25)0.28
 Death42 (10.1%)985 (5.4%)1.54 (1.10–2.16)0.01
Table 4

Cox regression model of major and minor bleeding as time-dependent risk factors for death, myocardial infarction, or stroke at 30 and 180 days adjusted for baseline characteristics and bleeding propensity

Major bleeding, n (%)No bleeding, n (%)HR (95% CI)P-value
30 daysn = 771n = 18851
 Death/MI/Stroke168 (21.8%)1160 (6.2%)3.99 (3.30–4.82)<0.0001
 MI60 (8.3%)630 (3.4%)4.39 (3.45–5.59)<0.0001
 Stroke22 (3.0%)125 (0.7%)4.66 (2.83–7.65)<0.0001
 Death65 (8.4%)517 (2.7%)3.46 (2.60–4.60)<0.0001

180 daysn = 937n = 18665
 Death/MI/Stroke276 (29.7%)1940 (10.6%)2.97 (2.55–3.45)<0.0001
 MI79 (9.2%)1022 (5.7%)2.63 (2.13–3.25)<0.0001
 Stroke42 (4.9%)212 (1.2%)4.25 (2.93–6.15)<0.0001
 Death132 (14.3%)985 (5.4%)3.11 (2.55–3.79)<0.0001

Minor bleeding, n (%)No bleeding, n (%)HR (95% CI)P-value

30 daysn = 417n = 18851
 Death/MI/Stroke57 (13.7%)1160 (6.2%)1.89 (1.37–2.61)0.0001
 MI17 (4.3%)630 (3.4%)1.68 (1.06–2.66)0.03
 Stroke4 (1.0%)125 (0.7%)2.09 (0.85–5.18)0.11
 Death28 (6.7%)517 (2.7%)2.01 (1.32–3.06)0.001

180 daysn = 423n = 18665
 Death/MI/Stroke78 (18.7%)1940 (10.6%)1.54 (1.18–1.99)0.001
 MI27 (6.9%)1022 (5.7%)1.40 (0.96–2.05)0.08
 Stroke6 (1.5%)212 (1.2%)1.52 (0.71–3.25)0.28
 Death42 (10.1%)985 (5.4%)1.54 (1.10–2.16)0.01
Major bleeding, n (%)No bleeding, n (%)HR (95% CI)P-value
30 daysn = 771n = 18851
 Death/MI/Stroke168 (21.8%)1160 (6.2%)3.99 (3.30–4.82)<0.0001
 MI60 (8.3%)630 (3.4%)4.39 (3.45–5.59)<0.0001
 Stroke22 (3.0%)125 (0.7%)4.66 (2.83–7.65)<0.0001
 Death65 (8.4%)517 (2.7%)3.46 (2.60–4.60)<0.0001

180 daysn = 937n = 18665
 Death/MI/Stroke276 (29.7%)1940 (10.6%)2.97 (2.55–3.45)<0.0001
 MI79 (9.2%)1022 (5.7%)2.63 (2.13–3.25)<0.0001
 Stroke42 (4.9%)212 (1.2%)4.25 (2.93–6.15)<0.0001
 Death132 (14.3%)985 (5.4%)3.11 (2.55–3.79)<0.0001

Minor bleeding, n (%)No bleeding, n (%)HR (95% CI)P-value

30 daysn = 417n = 18851
 Death/MI/Stroke57 (13.7%)1160 (6.2%)1.89 (1.37–2.61)0.0001
 MI17 (4.3%)630 (3.4%)1.68 (1.06–2.66)0.03
 Stroke4 (1.0%)125 (0.7%)2.09 (0.85–5.18)0.11
 Death28 (6.7%)517 (2.7%)2.01 (1.32–3.06)0.001

180 daysn = 423n = 18665
 Death/MI/Stroke78 (18.7%)1940 (10.6%)1.54 (1.18–1.99)0.001
 MI27 (6.9%)1022 (5.7%)1.40 (0.96–2.05)0.08
 Stroke6 (1.5%)212 (1.2%)1.52 (0.71–3.25)0.28
 Death42 (10.1%)985 (5.4%)1.54 (1.10–2.16)0.01

In the overall patient population, major bleeding during the first 30 days was associated with about four-fold increase in death/MI/stroke [21.8 vs. 6.2%, hazard ratio (HR) 3.00, 95% CI 3.30–4.82] and a similar increase in each of the individual components of this composite outcome, death (8.4 vs. 2.7%, HR 3.46, 95% CI 2.60–4.60), MI (8.3 vs. 3.4%, HR 4.39, 95% CI 3.45–5.59), and stroke (3.0 vs. 0.7%, HR 4.66, 95% CI 2.83–7.65) at 30 days (P < 0.0001 for each analysis, Table 4). All the analyses were adjusted for the propensity to develop bleeding, and the timing of bleeding in relation to non-fatal outcomes. The results were similar irrespective of whether serum creatinine or creatinine clearance was included in the model.

The magnitude of the association between major bleeding and outcome (death/MI/stroke and individual components of the composite outcome) was attenuated at 180 days (about a three-fold increase in risk), but remained highly significant (P < 0.0001 for each analysis, Table 4). Minor bleeding was also independently associated with an increased risk of death/MI/stroke and for death as an individual component at 30 and 180 days (Table 4).

Discussion

Our results indicate that one in 20 patients in the OASIS-5 trial experienced major bleeding and that more than one-quarter of those who developed major bleeding experienced death, MI, or stroke during follow-up till 180 days. One of every six deaths during the first 30 days occurred in patients who experienced bleeding (major or minor), and one of every eight deaths during 180 days of study follow-up occurred in patients who experienced bleeding. The use of fondaparinux compared with enoxaparin for up to 9 days reduced fatal bleeding, non-fatal major bleeding, and minor bleeding by about one-half; reduced puncture site, and retroperitoneal bleeding, and reduced the need for packed red blood cell transfusions. The vast majority of excess deaths in patients treated with enoxaparin occurred in patients who experienced bleeding. Our results also demonstrate an independent, strong, temporal, and dose-related (higher risk of death in those with more severe degrees of bleeding) association between bleeding and death, MI, and stroke.

Major bleeding was more common than the individual outcomes of death or MI in the OASIS-5 trial and was associated with an increased risk of death or non-fatal adverse outcomes irrespective of whether patients were treated with fondaparinux or enoxaparin. The strong and independent relation between bleeding and adverse outcomes and the excess bleeding in patients treated with enoxaparin compared with fondaparinux is consistent with the conclusion that the benefits of fondaparinux for preventing non-fatal ischaemic events and death are mediated primarily by a reduction in bleeding.

The fixed 2.5 mg o.d. dose of fondaparinux used in the OASIS-5 trial is the same as the dose that was used in venous thrombo-embolism prevention trials. In contrast, the 1 mg/kg dose of enoxaparin given o.d. or b.i.d. is substantially higher than the 30 mg b.i.d. or 40 mg o.d. dose of enoxaparin used in venous thrombo-embolism prevention trials. Because both of these drugs are renally excreted, enoxaparin is more likely than fondaparinux to have achieved excessive anticoagulant levels in patients with renal impairment in the OASIS-5 trial.16

There is now an overwhelming body of evidence that bleeding is an independent predictor of adverse outcome across the spectrum of patients with coronary artery disease, including patients with non-ST-elevation ACS, ST-elevation MI, and those undergoing PCI. The mechanism of the association between bleeding and adverse outcome remains to be established but several possibilities should be considered. First, effective antithrombotic treatments are usually stopped in patients who develop bleeding, which could result in an increased incidence of non-fatal or fatal ischaemic events.17 The ACUITY investigators reported a greater than five-fold increase in stent thrombosis among patients who experienced major bleeding,5 which is consistent with previous reports linking premature discontinuation of antiplatelet drugs in coronary stent patients with ischaemic events and death.18,19 Secondly, bleeding can lead to reduced oxygen supply, caused by reduced tissue perfusion and anaemia, as well as increased oxygen demand, caused by stress and tachycardia, thereby resulting in tissue ischaemia. Thirdly, transfusion of stored packed red blood cells can lead to reduced tissue oxygen delivery, caused by depletion of 2,3-diphosphoglycerate and nitric oxide from red blood cells, which leads to increased affinity of haemoglobin for oxygen and impaired release of oxygen at the capillary level. Packed red blood cell transfusion20 and the duration of storage of packed red blood cells prior to transfusion have been associated with an increased risk of adverse outcomes.21 Fourth, interventions, including surgery and anaesthesia, that are performed to treat bleeding complications may carry additional risk, particularly in patients who have recently experienced an ACS and have discontinued their antithrombotic medications.

The strengths of our study are that we analysed a dataset involving more than 20 000 patients with ACS randomized to fondaparinux or enoxaparin, including almost 1000 major bleeds, more than 1000 deaths, more than 1000 MIs, and more than 250 strokes. Detailed information concerning patient demographics, baseline characteristics, and co-interventions were collected, allowing us to obtain reliable estimates of the incidence and prognosis of bleeding.

Our study also has limitations. First, despite the large sample size and substantial number of outcomes, our study was not powered to determine the effect of fondaparinux compared with enoxaparin for uncommon but serious outcomes such as intracranial bleeding. Secondly, we were unable to explore the effect of discontinuation of concomitant antithrombotic therapies on adverse outcomes in the OASIS-5 trial because this information was not routinely collected in all patients, and, when available, was confounded by the severity of the bleeding. Thirdly, the association between bleeding and outcome in the OASIS-5 trial is subject to confounding because older and sicker patients are more likely to experience bleeding, but are also more likely to experience MI, stroke, or death. Despite exhaustive effort to adjust for potential confounders, we are unable to prove a causal relation between bleeding events and death. However, our data add to the growing body of consistent evidence that bleeding is an independent and potentially modifiable determinant of recurrent ischaemic events and death. Fourth, very few minor bleeds were reported after day 9, raising the possibility that minor bleeding after the period of study drug administration was under-reported. Finally, we performed multiple statistical comparisons, which increases the likelihood that some of our findings are due to the play of chance.

In conclusion, our analyses involving more than 20 000 patients in the OASIS-5 trial demonstrate that the routine use of fondaparinux in place of enoxaparin in patients with ACS will reduce the risk of bleeding by up to one-half and that prevention of bleeding translates into substantial reductions in both morbidity and mortality during 180 days of follow-up. Increasing recognition that bleeding is an independent determinant of outcome in patients with ACS should prompt efforts to reduce the risk of bleeding and thereby improve clinical outcomes by appropriate selection of antithrombotic therapies as well as judicious use of invasive revascularization procedures.

Conflict of interest: none declared.

References

1
Antithrombotic Trialists' Collaboration
Collaborative meta-analysis of randomised trials of antiplatelet therapy for prevention of death, myocardial infarction, and stroke in high risk patients
BMJ
2002
, vol. 
324
 (pg. 
71
-
86
)
2
Yusuf
S
Zhao
F
Mehta
SR
Chrolavicius
S
Tognoni
G
Fox
KK
Effects of clopidogrel in addition to aspirin in patients with acute coronary syndromes without ST-segment elevation
N Engl J Med
2001
, vol. 
345
 (pg. 
494
-
502
)
3
Moscucci
M
Fox
KA
Cannon
CP
Klein
W
Lopez-Sendon
J
Montalescot
G
White
K
Goldberg
RJ
Predictors of major bleeding in acute coronary syndromes: the Global Registry of Acute Coronary Events (GRACE)
Eur Heart J
2003
, vol. 
24
 (pg. 
1815
-
1823
)
4
Eikelboom
JW
Mehta
SR
Anand
SS
Xie
C
Fox
KA
Yusuf
S
Adverse impact of bleeding on prognosis in patients with acute coronary syndromes
Circulation
2006
, vol. 
114
 (pg. 
774
-
782
)
5
Manoukian
SV
Feit
F
Mehran
R
Voeltz
MD
Ebrahimi
R
Hamon
M
Dangas
GD
Lincoff
AM
White
HD
Moses
JW
King
SB
II
Ohman
EM
Stone
GW
Impact of major bleeding on 30-day mortality and clinical outcomes in patients with acute coronary syndromes: an analysis from the ACUITY Trial
J Am Coll Cardiol
2007
, vol. 
49
 (pg. 
1362
-
1368
)
6
Rao
SV
O'Grady
K
Pieper
KS
Granger
CB
Newby
LK
Van de
WF
Mahaffey
KW
Califf
RM
Harrington
RA
Impact of bleeding severity on clinical outcomes among patients with acute coronary syndromes
Am J Cardiol
2005
, vol. 
96
 (pg. 
1200
-
1206
)
7
Alexander
KP
Chen
AY
Roe
MT
Newby
LK
Gibson
CM
len-LaPointe
NM
Pollack
C
Gibler
WB
Ohman
EM
Peterson
ED
Excess dosing of antiplatelet and antithrombin agents inthe treatment of non-ST-segment elevation acute coronary syndromes
JAMA
2005
, vol. 
294
 (pg. 
3108
-
3116
)
8
Ferguson
JJ
Califf
RM
Antman
EM
Cohen
M
Grines
CL
Goodman
S
Kereiakes
DJ
Langer
A
Mahaffey
KW
Nessel
CC
Armstrong
PW
Avezum
A
Aylward
P
Becker
RC
Biasucci
L
Borzak
S
Col
J
Frey
MJ
Fry
E
Gulba
DC
Guneri
S
Gurfinkel
E
Harrington
R
Hochman
JS
Kleiman
NS
Leon
MB
Lopez-Sendon
JL
Pepine
CJ
Ruzyllo
W
Steinhubl
SR
Teirstein
PS
Toro-Figueroa
L
White
H
Enoxaparin vs unfractionated heparin in high-risk patients with non-ST-segment elevation acute coronary syndromes managed with an intended early invasive strategy: primary results of the SYNERGY randomized trial
JAMA
2004
, vol. 
292
 (pg. 
45
-
54
)
9
Mehta
SR
Steg
PG
Granger
CB
Bassand
JP
Faxon
DP
Weitz
JI
Afzal
R
Rush
B
Peters
RJ
Natarajan
MK
Velianou
JL
Goodhart
DM
Labinaz
M
Tanguay
JF
Fox
KA
Yusuf
S
Randomized, blinded trial comparing fondaparinux with unfractionated heparin in patients undergoing contemporary percutaneous coronary intervention: Arixtra Study in Percutaneous Coronary Intervention: a Randomized Evaluation (ASPIRE) Pilot Trial
Circulation
2005
, vol. 
111
 (pg. 
1390
-
1397
)
10
Stone
GW
McLaurin
BT
Cox
DA
Bertrand
ME
Lincoff
AM
Moses
JW
White
HD
Pocock
SJ
Ware
JH
Feit
F
Colombo
A
Aylward
PE
Cequier
AR
Darius
H
Desmet
W
Ebrahimi
R
Hamon
M
Rasmussen
LH
Rupprecht
HJ
Hoekstra
J
Mehran
R
Ohman
EM
Bivalirudin for patients with acute coronary syndromes
N Engl J Med
2006
, vol. 
355
 (pg. 
2203
-
2216
)
11
Stone
GW
White
HD
Ohman
EM
Bertrand
ME
Lincoff
AM
McLaurin
BT
Cox
DA
Pocock
SJ
Ware
JH
Feit
F
Colombo
A
Manoukian
SV
Lansky
AJ
Mehran
R
Moses
JW
Bivalirudin in patients with acute coronary syndromes undergoing percutaneous coronary intervention: a subgroup analysis from the Acute Catheterization and Urgent Intervention Triage strategy (ACUITY) trial
Lancet
2007
, vol. 
369
 (pg. 
907
-
919
)
12
Yusuf
S
Mehta
SR
Chrolavicius
S
Afzal
R
Pogue
J
Granger
CB
Budaj
A
Peters
RJ
Bassand
JP
Wallentin
L
Joyner
C
Fox
KA
Comparison of fondaparinux and enoxaparin in acute coronary syndromes
N Engl J Med
2006
, vol. 
354
 (pg. 
1464
-
1476
)
13
Design and rationale of the MICHELANGELO Organization to Assess Strategies in Acute Ischemic Syndromes (OASIS)-5 trial program evaluating fondaparinux, a synthetic factor Xa inhibitor, in patients with non-ST-segment elevation acute coronary syndromes
Am Heart J
2005
, vol. 
150
 pg. 
1107
 
14
Cohen
M
Blaber
R
Demers
C
Gurfinkel
EP
Langer
A
Fromell
G
Premmereur
J
Turpie
AG
The ESSENCE Trial: Efficacy and Safety of Subcutaneous Enoxaparin in Unstable Angina and Non-Q-Wave MI. A double-blind, randomized, parallel-group, multicenter study comparing enoxaparin and intravenous unfractionated heparin: methods and design
J Thromb Thrombolysis
1997
, vol. 
4
 (pg. 
271
-
274
)
15
Cohen
M
Demers
C
Gurfinkel
EP
Turpie
AG
Fromell
GJ
Goodman
S
Langer
A
Califf
RM
Fox
KA
Premmereur
J
Bigonzi
F
A comparison of low-molecular-weight heparin with unfractionated heparin for unstable coronary artery disease. Efficacy and Safety of Subcutaneous Enoxaparin in Non-Q-Wave Coronary Events Study Group
N Engl J Med
1997
, vol. 
337
 (pg. 
447
-
452
)
16
Fox
KA
Bassand
JP
Mehta
SR
Wallentin
L
Theroux
P
Piegas
LS
Valentin
V
Moccetti
T
Chrolavicius
S
Afzal
R
Yusuf
S
Influence of renal function on the efficacy and safety of fondaparinux relative to enoxaparin in non ST-segment elevation acute coronary syndromes
Ann Intern Med
2007
, vol. 
147
 (pg. 
304
-
310
)
17
Spencer
FA
Moscucci
M
Granger
CB
Gore
JM
Goldberg
RJ
Steg
PG
Goodman
SG
Budaj
A
FitzGerald
G
Fox
KA
GRACE Investigators
Does comorbidity account for the excess mortality in patients with major bleeding in acute myocardial infarction?
Circulation
2007
, vol. 
116
 (pg. 
2793
-
2801
)
18
Iakovou
I
Schmidt
T
Bonizzoni
E
Ge
L
Sangiorgi
GM
Stankovic
G
Airoldi
F
Chieffo
A
Montorfano
M
Carlino
M
Michev
I
Corvaja
N
Briguori
C
Gerckens
U
Grube
E
Colombo
A
Incidence, predictors, and outcome of thrombosis after successful implantation of drug-eluting stents
JAMA
2005
, vol. 
293
 (pg. 
2126
-
2130
)
19
Spertus
JA
Kettelkamp
R
Vance
C
Decker
C
Jones
PG
Rumsfeld
JS
Messenger
JC
Khanal
S
Peterson
ED
Bach
RG
Krumholz
HM
Cohen
DJ
Prevalence, predictors, and outcomes of premature discontinuation of thienopyridine therapy after drug-eluting stent placement: results from the PREMIER registry
Circulation
2006
, vol. 
113
 (pg. 
2803
-
2809
)
20
Rao
SV
Jollis
JG
Harrington
RA
Granger
CB
Newby
LK
Armstrong
PW
Moliterno
DJ
Lindblad
L
Pieper
K
Topol
EJ
Stamler
JS
Califf
RM
Relationship of blood transfusion and clinical outcomes in patients with acute coronary syndromes
JAMA
2004
, vol. 
292
 (pg. 
1555
-
1562
)
21
Koch
CG
Li
L
Sessler
DI
Figueroa
P
Hoeltge
GA
Mihaljevic
T
Blackstone
EH
Duration of red-cell storage and complications after cardiac surgery
N Engl J Med
2008
, vol. 
358
 (pg. 
1229
-
1239
)

Author notes

Both the authors contributed equally to this work.

Supplementary data