Literature DB >> 25332786

Major bleeding after percutaneous coronary intervention and risk of subsequent mortality: a systematic review and meta-analysis.

Chun Shing Kwok1, Sunil V Rao2, Phyo K Myint3, Bernard Keavney1, James Nolan4, Peter F Ludman5, Mark A de Belder6, Yoon K Loke7, Mamas A Mamas1.   

Abstract

OBJECTIVES: To examine the relationship between periprocedural bleeding complications and major adverse cardiovascular events (MACEs) and mortality outcomes following percutaneous coronary intervention (PCI) and study differences in the prognostic impact of different bleeding definitions.
METHODS: We conducted a systematic review and meta-analysis of PCI studies that evaluated periprocedural bleeding complications and their impact on MACEs and mortality outcomes. A systematic search of MEDLINE and EMBASE was conducted to identify relevant studies. Data from relevant studies were extracted and random effects meta-analysis was used to estimate the risk of adverse outcomes with periprocedural bleeding. Statistical heterogeneity was assessed by considering the I(2) statistic.
RESULTS: 42 relevant studies were identified including 533 333 patients. Meta-analysis demonstrated that periprocedural major bleeding complications was independently associated with increased risk of mortality (OR 3.31 (2.86 to 3.82), I(2)=80%) and MACEs (OR 3.89 (3.26 to 4.64), I(2)=42%). A differential impact of major bleeding as defined by different bleeding definitions on mortality outcomes was observed, in which the REPLACE-2 (OR 6.69, 95% CI 2.26 to 19.81), STEEPLE (OR 6.59, 95% CI 3.89 to 11.16) and BARC (OR 5.40, 95% CI 1.74 to 16.74) had the worst prognostic impacts while HORIZONS-AMI (OR 1.51, 95% CI 1.11 to 2.05) had the least impact on mortality outcomes.
CONCLUSIONS: Major bleeding after PCI is independently associated with a threefold increase in mortality and MACEs outcomes. Different contemporary bleeding definitions have differential impacts on mortality outcomes, with 1.5-6.7-fold increases in mortality observed depending on the definition of major bleeding used.

Entities:  

Keywords:  ALLIED SPECIALITIES; MYOCARDIAL ISCHAEMIA AND INFARCTION (IHD)

Year:  2014        PMID: 25332786      PMCID: PMC4195929          DOI: 10.1136/openhrt-2013-000021

Source DB:  PubMed          Journal:  Open Heart        ISSN: 2053-3624


The strength of this systematic review was the large number of studies included with over half a million total participants. Another strength was that we were able to evaluate the effect of different major bleeding definitions and its impact on risk of mortality and major adverse cardiovascular events. This systematic review had the limitation that studies included varied in antithrombotic and antiplatelet regimes after PCI procedure. Another limitation was that the systematic review was unable evaluate whether the subsequent mortality was directly related to the bleed.

Introduction

Advances in antithrombotic therapy have improved the outcomes of patients undergoing percutaneous coronary intervention (PCI) through the reduction of ischaemic events at the expense of increased procedure-related bleeding complications. Major bleeding events in contemporary PCI are significant, with 30-day bleeding event rates reported between 0.7% and 1.1% in elective,1–3 0.6% and 4.7%3–6 in non-ST-elevation myocardial infarction (NSTEMI) and 0.9% and 8.9% in ST-elevation myocardial infarction (STEMI)3 4 7 8 depending on the definition used. There are currently around 10 different definitions of major bleeding used in trials and registries of patients undergoing PCI9 10 and these definitions include various clinical events, such as blood transfusion or retroperitoneal haemorrhage, laboratory parameters, such as differing values of haemoglobin decreases, and clinical outcomes such as mortality9 resulting in significant differences in bleeding event recording across clinical trials thereby making comparisons between therapeutic strategies difficult. Furthermore, the incidence of major bleeding varies depending on definition used. In one study, the RIVAL non-coronary artery bypass graft (non-CABG) related major bleeding occurred in 0.87% in the STEMI cohort and 0.57% in the NSTEMI group, while if an ACUITY major bleeding definition was used, major bleeding occurred in 3.1% in the STEMI group and 2.26% in the NSTEMI group, respectively. Major periprocedural bleeding complications following PCI are predictors of mortality and major adverse cardiovascular events (MACEs),11–13 with up to 12.1% of all in-hospital mortality after PCI in the National Cardiovascular Data Registry's CathPCI Registry related to bleeding complications.14 In contrast, other studies have suggested that although bleeding may be causally related to adverse outcomes in some patients in the real-world setting, it is often merely a marker for patients at higher risk for adverse outcomes.15 16 Some prior studies that have reported on the prognostic impact of major bleeds have not accounted for differences in baseline covariates such as age, syndrome of presentation and comorbidities that would themselves impact on MACEs and mortality outcomes.17–21 In contrast, while other studies have adjusted for baseline covariates, different definitions of major bleeding such as TIMI,2 11 22 23 GUSTO,20 24 STEEPLE20 25 and BARC23 have been used, which have been shown to have differential impacts on mortality/MACEs outcomes.20 23 26 Furthermore, the timing of bleeding from index PCI procedures included in such studies has varied from 48 h,25 been limited to those that occur in hospital,23 27 to 30 days2 28 with impact on mortality and MACEs outcomes studied at different time points such as 30 days,8 24 28 6 months24 27 or 1 year.2 22 23 25 Until today, there has not been a systematic review or meta-analysis previously published studying the prognostic impact of periprocedural major bleeding events on mortality and MACEs outcomes following PCI. We have therefore undertaken a meta-analysis to systematically study the impact of major bleeding following PCI on mortality and MACEs outcomes. In this meta-analysis, we provide an overview of the cohorts evaluating the rates of major bleeding events and systematically study the differences in the prognostic impact of different bleeding definitions and the relationship between major bleeding and clinical events at different time points.

Methods

Eligibility criteria

We selected studies of patients who underwent PCI that reported on mortality or cardiovascular events among patients with and without major bleeding events. There was no restriction based on study design, definition of major bleeding or the indication for PCI or its status as an urgent or elective procedure. We excluded studies that did not report on categories of major bleeding and those that did not report either mortality or MACEs.

Search strategy

A search of EMBASE (1974 to January 2014) and MEDLINE (1946 to January 2014) was conducted on OvidSP. The search terms are shown in online supplementary figure S1. We did not use any language restrictions. We checked the bibliographies of included studies and relevant review articles found on the search for additional relevant articles.

Study selection and data extraction

Two reviewers (CSK and YKL) checked all titles and abstracts for studies that could potentially meet the inclusion criteria. We retrieved full reports of these potentially eligible studies and independently extracted data on study design, participant characteristics, interventions used, major bleeding events, follow-up, outcome events and methods of ascertaining measured clinical events on to a preformatted spreadsheet. Any discrepancies between the two reviewers were resolved by consensus after consulting a third reviewer (MAM).

Quality assessment

Risk of bias was assessed by considering four different areas: ascertainment of major bleeding events, ascertainment of outcome events, extent of loss to follow-up and the use of adjustment for confounders in the analysis. We also assess for publication bias using funnel plots when there were >10 studies available in the meta-analysis and there was no evidence of substantial statistical heterogeneity.29

Data analysis

We used RevMan V.5.1.7 (Nordic Cochrane Centre) to do random effects meta-analysis using the inverse variance methods for pooled ORs. We assumed similarity between the OR and other relative measures such as relative risk, rate ratios or HRs because cardiovascular events and death were rare events.30 The analysis was stratified based on whether the results had considered the effect of potential confounders through adjustments or propensity-matched cohorts or not. In order to reduce the risk of bias from confounding so that we have a more reliable estimate of the independent effect of bleeding on prognosis, we appraised studies with multivariate adjustments or propensity-matched cohorts separately from studies with crude or unadjusted results. We used adjusted or propensity-matched risk estimates where available. For datasets reporting multiple time points, we took the earliest time point for the primary analysis. Any later time points were subsequently analysed in the separate Forest plots stratified according to timing of outcome assessment. Where there were multiple definitions of major bleeding we choose to use the results for TIMI major bleeding. We planned for three analyses. The primary analysis was the pooled adjusted and unadjusted risk of mortality with and without major bleed. The secondary analysis was the unadjusted and adjusted risk of MACEs with and without major bleed. In a post hoc sensitivity analysis, we conducted a pooled analysis after excluding studies where it was clear that only some (and not all) of the participants had undergone PCI.

Statistical heterogeneity

We used the I2 statistic to assess statistical heterogeneity. I2 Values of 30–60% represent moderate levels of heterogeneity.31

Results

Study selection

The process of selection of studies is shown in online supplementary figure S1. We retrieved 42 relevant studies of patients that underwent PCI (total number of participants 533 333), which evaluated the risk of adverse events with and without major bleeding.2 8 11 14 17–23 27 28 32–58 The number of participants in each study ranged from 352 to 280 390 and the number of major bleeding events was 66 277 (37 studies, 15.3%). A total of 40 studies evaluated mortality as an outcome and 11 studies reported on MACEs.

Description of studies included

The study designs, date of study, country of origin and indication for PCI is shown in table 1. There were 12 studies (149 650 participants), which were post hoc analyses of randomised controlled trials and 1 matched observational study (280 390 participants). Of the studies that reported number of centres, there were more multicentre studies than single centre studies (n=17 and n=13). The age and gender of participants along with the antiplatelet and anticoagulant regimes used is shown in online supplementary table S1.
Table 1

Study design, year of study, country of origin and participant inclusion criteria

Study IDDesignDate of studyNumber of centresCountryInclusion criteria
Amlani et al 32Prospective cohortMay 2003 to July 2007Single centreCanadaPatients with STEMI
Ariza-Sole et al 33Prospective cohortOctober 2009 to April 2012Single centreSpainPatients with STEMI
Barthélémy et al 20Prospective cohortNASingle centreFrancePatients in E-Paris Registry with STEMI and PCI
Bertrand et al 34Post hoc analysis of RCTOctober 2003 to April 2005Single centreCanadaPatients in EASY trial with PCI without STEMI
Boden et al 35CohortNANAThe NetherlandsPatients with STEMI and PCI
Budaj et al 36Post hoc analysis of RCTNAMulticentreInternationalPatients with NSTEMI ACS. Note that only 64–79% had PCI
Cayla et al 18Post hoc analysis of RCTNAMulticentreFrancePatients in ABOARD trial with NSTEMI and PCI
Cayla et al 37Post hoc analysis of RCTNAMulticentreInternationalPatients in ATOLL study with STEMI and PCI
Chhatriwalla et al 14Matched cohort2004 to 2011MulticentreUSAPatients in the CathPCI Registry
Correia et al 38CohortAugust 2007 to December 2010MulticentreBrazilPatients with ACS. Note that only 76–90% had coronary angiogram
Eikelboom et al 28Post hoc analysis of RCTsNAMulticentreInternationalPatients in OASIS 1 and 2 and CURE who had ACS. Note that only 10–11% had PCI/stent/atherectomy
Fuchs et al 21Prospective cohortJanuary 2001 to June 2005Single centreIsraelPatients with STEMI and PCI
Gitt et al 39CohortOctober 2006 to October 2008MulticentreInternationalPatients with ACS. Note that only 65–82% had primary/rescue PCI
Giugliano et al 8Post hoc analysis of RCTNAMulticentreInternationalPatients in ExTRACT-TIMI 25 trial where patients received fibrinolysis
Hermanides et al 22Prospective cohortJanuary 1991 to December 2004Single centreThe NetherlandsPatients with STEMI and PCI
Kaul et al 40Post hoc analysis of RCTMay 2004 to August 2008MulticentreInternationalPatients with NSTEMI
Kikkert et al 41Prospective cohortJanuary 2003 to July 2008Single centreThe NetherlandsPatients with STEMI and PCI
Kinnaird et al 11Retrospective cohort1991 to 2000NAUSAPatients who underwent PCI
Le May et al 42CohortMay 2005 to July 2010NACanadaPatients with STEMI and PCI
Lee et al 43Prospective cohortFebruary 2003 to March 2006NAKoreaPatients with PCI with DES
Lemesle et al 27CohortJanuary 2000 to December 2007Single centreUSAPatients ≥80 years of age with PCI
Lindsey et al 44Prospective cohortJuly 2004 to January 2006MulticentreUSAPatients in EVENT registry with PCI
Lopes et al 45Retrospective cohortNovember 2001 to December 2006MulticentreUSAPatients in CRUSADES registry and subset with PCI
Matic et al 46CohortAugust 2009 to December 2012NASerbiaPatients with STEMI and PCI
Matic et al 47CohortAugust 2009 to December 2010NASerbiaPatients with STEMI and PCI
Matic et al 48Prospective cohortAugust 2009 to December 2010NASerbiaPatients with STEMI and PCI
Mehran et al 2Post hoc analysis of RCTsNAMulticentreInternationalPatients in REPLACE-2, ACUITY and HORIZONS-AMI trial with PCI
Montalescot et al 25Post hoc analysis of RCTDecember 2005 to December 2006MulticentreInternationalPatients in STEEPLE trial who underwent elective PCI
Mrdovic et al 49CohortFebruary 2006 to December 2009Single centreSerbiaPatients with STEMI and PCI
Musumeci et al 50CohortJune 2005 to June 2008MulticentreItalyPatients with PCI and DES
Ndrepepa et al 17Post hoc analysis of RCTSeptember 2005 to January 2008NAGermanyPatients in ISAR-REACT-3 trial with PCI
Ndrepepa et al 23Post hoc analysis of RCTNANAGermanyPatients in ISAR-REACT, ISAR-SWEET, ISAR-SMART and ISAR-REACT-2 trials with PCI
Pierre-Louis et al 51CohortNANAUSAPatients with ACS and PCI
Pilgrim and Wenaweser 52CohortMay 2002 to December 2005Single centreSwitzerlandPatients with PCI
Polanska-Skrzypczyk et al 53Prospective cohortFebruary 2001 to October 2002Single centrePolandPatients with STEMI and PCI
Poludasu et al 54Prospective cohortJuly 2001 to May 2010MulticentreUSAPatient with PCI
Rao et al 24Post hoc analysis of RCTsNAMulticentreInternationalPatients in GUSTO IIb, PURSUIT and PARAGON A/B. Note that only 11–30% had PCI
Rossini et al 55CohortNANAUSAPatients with PCI and DES
Urban et al 56Prospective cohortMay 2006 to April 2008MulticentreInternationalPatients in e-SELECT registry with PCI and DES
Valente et al 19Prospective cohortJanuary 2004 to December 2008Single centreItalyPatients in Intensive Cardiac Care Florence STEMI Registry who had STEMI and PCI
Yoon et al 57CohortNANAKoreaPatients in IRS DES registry with PCI and DES
Zheng et al 58Retrospective cohortJanuary 2004 to January 2008Single centreChinaPatients with elective or urgent PCI

ACS, acute coronary syndromes; DES, drug-eluting stent; NA, not applicable; NSTEMI, non-ST-elevation myocardial infarction; PCI, percutaneous coronary intervention; RCT, randomised controlled trial; STEMI, ST-elevation myocardial infarction.

Study design, year of study, country of origin and participant inclusion criteria ACS, acute coronary syndromes; DES, drug-eluting stent; NA, not applicable; NSTEMI, non-ST-elevation myocardial infarction; PCI, percutaneous coronary intervention; RCT, randomised controlled trial; STEMI, ST-elevation myocardial infarction. Table 2 shows the timing of major bleeding, definition of major bleeding used in the individual studies and the incidence of major bleeding in each study. While many of the studies did not report when assessment for major bleeding took place (n=15), 15 of the studies clearly stated that they evaluated in-hospital major bleeding. The definitions of major bleeding also varied among the included studies and formal definitions of major bleeding included TIMI, GUSTO, STEEPLE, HORIZON-AMI, CRUSADE, BARC and REPLACE-2 definitions. These definitions are summarised in online supplementary table S2. Follow-up of patients in the studies included in this analysis varied from 48 h to more than 3 years. The impact of major bleeding on clinical outcomes was adjusted for baseline covariates in 22 studies (490 699 participants) while in 20 studies (42 634 participants) only unadjusted outcomes were reported.
Table 2

Timing of bleeding, definition of major bleeding and follow-up

Study IDTiming of bleedingMajor/severe bleeding criteriaNumber of participants in bleeding groupNumber of participants in control groupFollow-up
Amlani et al 32Within 30 daysHaemoglobin drop ≥5 g/dL, intracranial haemorrhage, bleeding requiring surgery or blood transfusion of at least 2 units152 (67 had PCI)1237 (566 had PCI)30 days
Ariza-Sole et al 33In-hospitalCRUSADE331031Mean follow-up 344 days
Barthélémy et al 20In-hospitalTIMI, GUSTO, STEEPLETotal 671NA1 year
Bertrand et al 34UnclearREPLACE-219132930 days, 6 months, 1 year
Boden et al 35In-hospitalCRUSADE2037621 year
Budaj et al 36Up to 180 daysESSENCE771 (30 days), 937 (180 days)18 851 (30 days), 18 851(180 days)180 days
Cayla et al 1830 daysSTEEPLE1933330 days
Cayla et al 3730 daysSTEEPLE4286830 days
Chhatriwalla et al 14In-hospitalCathPCI Registry definition56 078224 312In-hospital
Correia et al 38In-hospitalBARC type 3 or 529426In-hospital
Eikelboom et al 28Within 30 daysBleeding that was significantly disabling, bleeding requiring transfusion of ≥2 units of packed cells or bleeding that was life threatening783336330-day mortality
Fuchs et al 21UnclearTIMI2780430 days and 6 months
Gitt et al 39In-hospitalDrop in haemoglobin of >5 g/dL or haematocrit of >15%2818451In-hospital
Giugliano et al 8Up to day 8TIMI30920 01430 days
Hermanides et al 2248 hTIMI80437130 days and 1 year
Kaul et al 40Up to 120 h after randomisationGUSTO598880830 days
Kikkert et al 41UnclearTIMI353311–30 days
Kinnaird et al 11UnclearTIMI5888992In-hospital
Le May et al 42UnclearTIMI9119416 months
Lee et al 43Median 1366 daysSTEEPLE1483022Median 1366 days
Lemesle et al 27In-hospitalDecrease in haematocrit of ≥15% and/or the occurrence of a major haematoma/gastrointestinal bleeding/intracerebral bleeding12726396 months
Lindsey et al 44In-hospitalTIMI18057811 year
Lopes et al 45In-hospitalCRUSADE390228 99330 days, 1 year, 3 year, >3 years
Matic et al 46UnclearGUSTO32738In-hospital
Matic et al 47UnclearHORIZONS-AMI88115430 day
Matic et al 48UnclearBARC11415581 year
Mehran et al 230 daysTIMI26717 034Up to 1 year
Montalescot et al 2548 hSTEEPLE3528 (total)NA1 year
Mrdovic et al 49UnclearTIMI22207430 days and 1 year
Musumeci et al 5030 days, 12 months, any follow-upTIMI5213853 years
Ndrepepa et al 17UnclearREPLACE-255540151 year
Ndrepepa et al 23In-hospitalTIMI, REPLACE-2, BARCTotal 12 459NA30 days, 1 year
Pierre-Louis et al 51In-hospitalIntracerebral or intraocular bleeding, clinical bleeding requiring blood transfusion, clinical bleeding with a reduction in haematocrit >10 points, retroperitoneal or gastrointestinal bleeding, access site bleeding requiring intervention, and ≥4 cm diameter vascular access site haematoma34600In-hospital
Pilgrim and Wenaweser52In-hospitalTIMI48378730 days
Polanska-Skrzypczyk et al 53In-hospitalTIMI4010241 year
Poludasu et al 54UnclearHORIZONS-AMI39611 5952.3 years
Rao et al 24UnclearGUSTO290823 544Up to 6 months
Rossini et al 55UnclearTIMI5713011 year
Urban et al 56UnclearSTEEPLETotal 15 147NA360 days
Valente et al 19In-hospitalTIMI, ACUITYTotal 991NAIn-ICCU
Yoon et al 57In-hospitalBARC type 2–523459322 years
Zheng et al 58UnclearTIMI273851 year

ICCU, intensive coronary care unit; NA, not applicable; PCI, percutaneous coronary intervention.

Timing of bleeding, definition of major bleeding and follow-up ICCU, intensive coronary care unit; NA, not applicable; PCI, percutaneous coronary intervention. Online supplementary table S3 shows the quality assessment for included studies. Ascertainment of bleeding and mortality varied from data collection from medical record reviews to prospective evaluation in trials where independent committees adjudicated bleeding and outcome events.

Major bleeding and risk of mortality at any time point

The impact of major bleeding on mortality outcomes was studied in 40 studies reporting outcomes in 525 691 patients. In total, 66 016 major bleeds were reported. Crude rates or risk estimates for mortality in individual studies are shown in online supplementary table S4. Mortality rate was 3595/62 036 (5.8%, 28 studies) in patients who sustained a major bleed and 8937/370 522 (2.4%, 28 studies) in patients not experiencing major bleeding complications. Meta-analysis of these data demonstrated that the overall risk of mortality was significantly greater among patients who sustained major bleeding complications periprocedurally (figure 1). The risk estimate for mortality was significantly lower in the subgroup of studies, which adjusted for potential confounders (OR 3.31 (2.86 to 3.82), I2=80%, 491 565 participants compared to the OR calculated in those studies that did not adjust for baseline covariates; OR 6.75 (4.99 to 9.12), I2=62%, 34 126 participants).
Figure 1

Adjusted risk of mortality with and without major bleed after percutaneous coronary intervention.

Adjusted risk of mortality with and without major bleed after percutaneous coronary intervention.

Major bleeding and risk of MACEs at any time point

The impact of major bleeding on MACEs outcomes was studied in 13 studies reporting outcomes in 69 843 patients. Crude rates or risk estimates for MACEs in individual studies are shown in tables 3 and 4; 757 major bleeds (6.8%) were reported.
Table 3

Summary of risk of mortality and MACEs among patients with and without major bleed after percutaneous coronary intervention at different time points

DurationORI2 (%)Number of participantsNumber of events in bleed group/totalNumber of events in non-bleed group/total
Adjusted risk of mortality
 30 days8 14 24 28 32 36 38 39 40 41 453.24 (2.73 to 3.84)81403 4573307/59 6307645/317 375
 6 months24 27 36 423.23 (2.92 to 3.57)050 872154/10281119/20 606
 1 year2 22 23 25 44 48 53 563.64 (2.39 to 5.56)8974 637160/2494677/36 167
Adjusted risk of MACEs
 <1 year24 34 363.96 (3.26 to 4.81)5347 422175/7901204/20 180
 >1 year433.19 (1.89 to 5.38)NA3170NANA

MACEs, major adverse cardiovascular events; NA, not applicable.

Table 4

Summary of risk of mortality and MACEs among patients with and without major bleed after percutaneous coronary intervention with different definitions of bleeding

Mortality
MACEs
Definition of major bleedORI2 (%)Number of participantsDefinitionORI2Number of participants
BARC23 38 485.40 (1.74 to 16.74)8814 550BARCNANANA
CRUSADE33 35 453.69 (1.68 to 8.12)8514 055CRUSADENANANA
GUSTO24 40 464.30 (3.76 to 4.92)027 222GUSTO244.37 (3.78 to 5.07)NA26 452
HORIZON-AMI47 541.51 (1.11 to 2.05)1213 233HORIZON-AMINANANA
REPLACE17 23 346.69 (2.26 to 19.81)8417 996REPLACENANANA
STEEPLE18 25 37 43 566.59 (3.89 to 11.16)5323 107STEEPLE433.19 (1.89 to 5.37)NA3170
TIMI2 8 11 19 20 21 22 42 44 49 50 52 53 555.15 (4.01 to 6.61)6969 449TIMI212.41 (1.42 to 4.35)NA1348
Other14 27 28 32 36 39 513.34 (2.59 to 4.32)76346 670Other363.99 (3.3 to 4.82)NA19 622

MACEs, major adverse cardiovascular events; NA, not applicable.

Summary of risk of mortality and MACEs among patients with and without major bleed after percutaneous coronary intervention at different time points MACEs, major adverse cardiovascular events; NA, not applicable. Summary of risk of mortality and MACEs among patients with and without major bleed after percutaneous coronary intervention with different definitions of bleeding MACEs, major adverse cardiovascular events; NA, not applicable. MACE rates were 295/1701 (17.3%) in patients who sustained a major bleed and 2101/38 520 (5.4%) in patients not experiencing major bleeding complications. The overall risk of MACEs was significantly higher among patients with major bleeds (figure 2). The risk of MACEs did not significantly differ in the subgroup of studies that adjusted for baseline covariates (OR 3.89 (3.26 to 4.64), I2=42%, 25 829 participants as compared to those that did not adjust for baseline covariates OR 3.12 (2.32 to 4.19), I2=52%, 101 184 participants).
Figure 2

Adjusted risk of major adverse cardiovascular event with and without major bleed after percutaneous coronary intervention.

Adjusted risk of major adverse cardiovascular event with and without major bleed after percutaneous coronary intervention.

Mortality with major bleeding at different follow-up durations

The adjusted risk of mortality was significantly greater among patients with major bleeds at all time points evaluated (figure 3). For 30-day mortality, adjusted risk was OR 3.24 (2.73 to 3.84, I2=81%, 11 studies, 403 457 participants) and at 6 months, the OR remained elevated at 3.23 (2.92 to 3.57, I2=0%, 4 studies, 50 872 participants; table 3). At the 1-year time point, the risk of mortality was OR 3.64 (2.39 to 5.56, I2=89%, 9 studies).
Figure 3

Risk of mortality with major bleed with different duration of follow-up.

Risk of mortality with major bleed with different duration of follow-up.

MACEs with bleeding at different follow-up durations

Analysis of the impact of major bleeding on MACEs outcomes at different time points was stratified into risk of MACE <1 year and ≥1 year due to the limited number of studies presenting MACE data and its relationship with time. The adjusted risk of MACE <1 year was OR 3.96 (3.26 to 4.81, I2=53%, 2 studies, 47 422 participants) and for ≥1 year was OR 3.19 (1.89 to 5.37, 1 study, 3170 participants; table 3).

Adverse outcomes and different definitions for major bleeding

The impact of different definitions of major bleeding on mortality and MACEs outcomes are presented in table 4. REPLACE-2 (OR 6.69 (2.26 to 19.81), I2=84%, 3 studies, 17 996 participants) definition of major bleeding had the greatest impact on mortality outcomes, while the ACUITY/HORIZONS-AMI had the least impact (OR 1.51 (1.11 to 2.05), I2=12%, 1 study, 13 233 participants).

Sensitivity analysis

Sensitivity analysis excluding studies where not all participants had PCI did not significantly alter the pooled analysis for association between major bleeding and mortality (OR 3.16 (2.61 to 3.81), I2=75%, 372 449 participants).

Discussion

Advances in antithrombotic and antiplatelet therapy have improved outcomes following PCI through the reduction of ischaemic events although this has been at the expense of increased procedure-related bleeding complications. Our meta-analysis of 42 studies including over half a million patients confirms that major bleeding is independently associated with a threefold increase in mortality and MACEs outcomes, and that this increased mortality and MACEs risk observed following a major bleed is sustained for periods of over 1 year. We also show that major bleeding events as defined by different contemporary bleeding definitions have differential impacts on mortality outcomes, with 1.5–6.7-fold increases in mortality observed depending on the definition of major bleeding used. There are a number of potential mechanisms that may underlie the relationship between major bleeding and adverse mortality outcomes. Patients that sustain major bleeding complications post PCI are more likely to be older, have renal failure, undergo PCI for STEMI/NSTEMI presentations, present with haemodynamic compromise or have a history of heart failure2 59 that also independently predict adverse mortality outcomes themselves. Many previous studies17–21 that have reported on the prognostic impact of major bleeds have not accounted for differences in such baseline covariates that are themselves known to impact on mortality outcomes, which would overestimate the mortality risks associated with a major bleed. For example, in an analysis from the Global Registry of Acute Coronary Events (GRACE), major bleeding was no longer associated with 6-month mortality after adjustment for the known comorbidities with the authors concluding that comorbidities associated with major bleeding accounting for the higher rate of mortality in patients who bled.15 Consistent with this, we have observed that in meta-analysis of studies that do not adjust for baseline covariates, major bleeding is associated with a sixfold increased risk in mortality, but this decreases to a threefold independent increase in mortality once baseline covariates are adjusted for, suggesting that major bleeding is independently linked to mortality and MACEs outcomes. The potential mechanisms by which a major bleed adversely impacts on clinical outcomes are numerous. Major bleeds such as an intracranial haemorrhage or severe blood loss as can occur in a gastrointestinal haemorrhage may result in mortality directly, although such bleeding events would not explain the persistent mortality risk observed for over a year following a major bleeding event in our meta-analysis. Major bleeds may necessitate the discontinuation of antiplatelet or antithrombotic medications that increase the risk for stent thrombosis, a strong independent predictor of mortality outcomes in the short and longer term (>1 year).60 Furthermore, increased production of erythropoietin in response to anaemia that occurs following a major bleed may contribute to a prothrombotic systemic state beyond the acute phase through platelet activation and induction of plasminogen activator inhibitor-1 (PAI-1).61 62 Treatment with erythropoietin has been associated with increased risk of thrombosis in critical care patients63 and increase in the composite endpoint of death, acute myocardial infarction, stroke and stent thrombosis in patients with STEMI.64 Blood transfusions have been linked to adverse shorter and longer term mortality65 and have been shown to predict 30-day mortality66 independently of bleeding and haematocrit. Adverse mortality outcomes associated with blood transfusions occur through a number of mechanisms including prothrombotic effects mediated through acute platelet release of CD40 ligand,67 platelet activation and induction of PAI-161 an inhibitor of endogenous fibrinolytic mechanisms. These increased risks of mortality also extend to non-red blood cell transfusions such as platelets or plasma/cryoprecipitate that may also be utilised following a periprocedural major bleed.68 Our observations of a differential impact of different major bleeding definitions on mortality outcomes is particularly pertinent suggesting that the choice of bleeding definition used has significantly influenced the outcome of previous studies, since the definition employed will influence the prevalence of reported bleeds as well as their prognostic impact. For example, in the RIVAL study69 non-CABG related major bleeding as defined by the study was not significantly different between the radial and femoral arms of the study (OR=0.73, 95% CI 0.43 to 1.23; p=0.9), while use of the ACUITY major bleeding criterion was associated with a statistically significant reduction in major bleeding in the radial arm of the study (OR=0.43, 95% CI 0.32 to 0.57; p<00001). Similarly, in the SYNERGY trial that used the GUSTO and TIMI major definition of bleeding, the enoxaparin arm was associated with a significantly higher rate of major bleeding as defined by TIMI major criteria but no difference in major bleeding as defined by the GUSTO major definition. Definitions that encompass less severe bleeding events (such as the ACUITY definition) are not as strongly linked to adverse events and therefore may not be a powerful means of evaluating bleeding avoidance strategies. In order to prove efficacy for bleeding avoidance the use of a more discriminative definition would be preferable. Our meta-analysis has a number of potential limitations. First, an inherent limitation of any meta-analysis is that of publication bias; studies that show a neutral outcome in mortality are less likely to be published than those that show a positive outcome and thus tend to bias any meta-analysis of published data towards a more positive outcome. Second, studies included in this meta-analysis often used different antithrombotic and antiplatelet regimes for the PCI procedures undertaken for different indications, hence it is unclear whether the prognostic impact of a major bleed differs with different antiplatelet/anticoagulant combinations or whether it differs in the elective/acute coronary syndrome setting. Finally, our current analysis does not provide insight into whether the timing of the major bleed in relation to the index PCI procedure has a differential impact on mortality outcomes. In conclusion, our meta-analysis of 42 studies including over half a million patients has revealed that major bleeding is independently associated with a threefold increase in mortality and MACEs outcomes, and that this increased mortality and MACEs risk observed following a major bleed is observed for periods of over 1 year. We also show that major bleeding events as defined by different contemporary bleeding definitions have differential impacts on mortality outcomes. Given the significant impact of major bleeding on mortality outcomes, formal bleeding risk assessment should be undertaken as part of the decision-making process for PCI procedures and bleeding avoidance strategies such as optimal pharmacotherapy and access site choice should be actively undertaken, particularly in those patients at highest baseline risk for bleeding complications.
  54 in total

1.  Temporal trends in and factors associated with bleeding complications among patients undergoing percutaneous coronary intervention: a report from the National Cardiovascular Data CathPCI Registry.

Authors:  Sumeet Subherwal; Eric D Peterson; David Dai; Laine Thomas; John C Messenger; Ying Xian; Ralph G Brindis; Dmitriy N Feldman; Shaun Senter; Lloyd W Klein; Steven P Marso; Matthew T Roe; Sunil V Rao
Journal:  J Am Coll Cardiol       Date:  2012-05-22       Impact factor: 24.094

2.  Bleeding is bad.... isn't it?

Authors:  Peter B Berger; Steven V Manoukian
Journal:  Circulation       Date:  2007-12-11       Impact factor: 29.690

Review 3.  Bleeding, blood transfusion, and increased mortality after percutaneous coronary intervention: implications for contemporary practice.

Authors:  Brendan J Doyle; Charanjit S Rihal; Dennis A Gastineau; David R Holmes
Journal:  J Am Coll Cardiol       Date:  2009-06-02       Impact factor: 24.094

4.  Standardized bleeding definitions for cardiovascular clinical trials: a consensus report from the Bleeding Academic Research Consortium.

Authors:  Roxana Mehran; Sunil V Rao; Deepak L Bhatt; C Michael Gibson; Adriano Caixeta; John Eikelboom; Sanjay Kaul; Stephen D Wiviott; Venu Menon; Eugenia Nikolsky; Victor Serebruany; Marco Valgimigli; Pascal Vranckx; David Taggart; Joseph F Sabik; Donald E Cutlip; Mitchell W Krucoff; E Magnus Ohman; Philippe Gabriel Steg; Harvey White
Journal:  Circulation       Date:  2011-06-14       Impact factor: 29.690

5.  Trans-radial approach for catheterisation in non-ST segment elevation acute coronary syndrome: an analysis of major bleeding complications in the ABOARD Study.

Authors:  G Cayla; J Silvain; O Barthelemy; S 'O Connor; L Payot; A Bellemain-Appaix; F Beygui; M Aout; J-P Collet; E Vicaut; G Montalescot
Journal:  Heart       Date:  2011-03-18       Impact factor: 5.994

6.  Radial versus femoral access for coronary angiography and intervention in patients with acute coronary syndromes (RIVAL): a randomised, parallel group, multicentre trial.

Authors:  Sanjit S Jolly; Salim Yusuf; John Cairns; Kari Niemelä; Denis Xavier; Petr Widimsky; Andrzej Budaj; Matti Niemelä; Vicent Valentin; Basil S Lewis; Alvaro Avezum; Philippe Gabriel Steg; Sunil V Rao; Peggy Gao; Rizwan Afzal; Campbell D Joyner; Susan Chrolavicius; Shamir R Mehta
Journal:  Lancet       Date:  2011-04-04       Impact factor: 79.321

7.  Association between bleeding and mortality among women and men with high-risk acute coronary syndromes: insights from the Early versus Delayed, Provisional Eptifibatide in Acute Coronary Syndromes (EARLY ACS) trial.

Authors:  Padma Kaul; Jean-François Tanguay; L Kristin Newby; Judith S Hochman; Cynthia M Westerhout; Robert M Califf; Pierluigi Tricoci; C Michael Gibson; Robert P Giugliano; Robert A Harrington; Frans Van de Werf; Paul W Armstrong
Journal:  Am Heart J       Date:  2013-09-05       Impact factor: 4.749

8.  Efficacy and safety of epoetin alfa in critically ill patients.

Authors:  Howard L Corwin; Andrew Gettinger; Timothy C Fabian; Addison May; Ronald G Pearl; Stephen Heard; Robert An; Peter J Bowers; Paul Burton; Mark A Klausner; Michael J Corwin
Journal:  N Engl J Med       Date:  2007-09-06       Impact factor: 91.245

9.  Impact of major bleeding on 30-day mortality and clinical outcomes in patients with acute coronary syndromes: an analysis from the ACUITY Trial.

Authors:  Steven V Manoukian; Frederick Feit; Roxana Mehran; Michele D Voeltz; Ramin Ebrahimi; Martial Hamon; George D Dangas; A Michael Lincoff; Harvey D White; Jeffrey W Moses; Spencer B King; E Magnus Ohman; Gregg W Stone
Journal:  J Am Coll Cardiol       Date:  2007-03-09       Impact factor: 24.094

10.  Clinical outcomes following stent thrombosis occurring in-hospital versus out-of-hospital: results from the HORIZONS-AMI (Harmonizing Outcomes with Revascularization and Stents in Acute Myocardial Infarction) trial.

Authors:  George D Dangas; Bimmer E Claessen; Roxana Mehran; Sorin Brener; Bruce R Brodie; Dariusz Dudek; Bernhard Witzenbichler; Jan Z Peruga; Giulio Guagliumi; Jeffrey W Moses; Alexandra J Lansky; Ke Xu; Gregg W Stone
Journal:  J Am Coll Cardiol       Date:  2012-05-15       Impact factor: 24.094

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  19 in total

1.  Timing and Causes of Unplanned Readmissions After Percutaneous Coronary Intervention: Insights From the Nationwide Readmission Database.

Authors:  Chun Shing Kwok; Binita Shah; Jassim Al-Suwaidi; David L Fischman; Lene Holmvang; Chadi Alraies; Rodrigo Bagur; Vinayak Nagaraja; Muhammad Rashid; Mohamed Mohamed; Glen P Martin; Evan Kontopantelis; Tim Kinnaird; Mamas Mamas
Journal:  JACC Cardiovasc Interv       Date:  2019-03-27       Impact factor: 11.195

2.  Major Bleeding and Adverse Outcome following Percutaneous Coronary Intervention.

Authors:  Eric W Holroyd; Ahmad Hs Mustafa; Chee W Khoo; Rob Butler; Douglas G Fraser; Jim Nolan; Mamas A Mamas
Journal:  Interv Cardiol       Date:  2015-03

Review 3.  Antiplatelet agents in uncertain clinical scenarios-a bleeding nightmare.

Authors:  Sean Esmonde; Divyesh Sharma; Aaron Peace
Journal:  Cardiovasc Diagn Ther       Date:  2018-10

4.  Improved in-hospital outcome for radial access in a large contemporary cohort of primary percutaneous coronary intervention.

Authors:  Matthias Hasun; Jakob Dörler; Hannes F Alber; Axel Bauer; Rudolf Berger; Günter Christ; Matthias Frick; Uta C Hoppe; Kurt Huber; Gudrun Lamm; Elisabeth Laßnig; Dirk von Lewinski; Anna Rab; Franz X Roithinger; Herwig Schuchlenz; Peter Siostrzonek; Johann Sipötz; Thomas Stefenelli; Clemens Steinwender; Michael Edlinger; Franz Weidinger
Journal:  Cardiovasc Diagn Ther       Date:  2021-06

5.  Bleeding after percutaneous coronary intervention: can we still ignore the obvious?

Authors:  Mony Shuvy; Dennis T Ko
Journal:  Open Heart       Date:  2014-02-28

6.  Contemporary Trends and Age-Specific Sex Differences in Management and Outcome for Patients With ST-Segment Elevation Myocardial Infarction.

Authors:  Leonardo De Luca; Marco Marini; Lucio Gonzini; Alessandro Boccanelli; Gianni Casella; Francesco Chiarella; Stefano De Servi; Antonio Di Chiara; Giuseppe Di Pasquale; Zoran Olivari; Giorgio Caretta; Laura Lenatti; Michele Massimo Gulizia; Stefano Savonitto
Journal:  J Am Heart Assoc       Date:  2016-11-23       Impact factor: 5.501

Review 7.  Bleeding events associated with fibrinolytic therapy and primary percutaneous coronary intervention in patients with STEMI: A systematic review and meta-analysis of randomized controlled trials.

Authors:  Pravesh Kumar Bundhun; Girish Janoo; Meng-Hua Chen
Journal:  Medicine (Baltimore)       Date:  2016-06       Impact factor: 1.889

Review 8.  Clinical and Procedural Outcomes of 5-French versus 6-French Sheaths in Transradial Coronary Interventions.

Authors:  Alberto Polimeni; Francesco Passafaro; Salvatore De Rosa; Sabato Sorrentino; Daniele Torella; Carmen Spaccarotella; Annalisa Mongiardo; Ciro Indolfi
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

9.  Total Thrombus-formation Analysis System Predicts Periprocedural Bleeding Events in Patients With Coronary Artery Disease Undergoing Percutaneous Coronary Intervention.

Authors:  Yu Oimatsu; Koichi Kaikita; Masanobu Ishii; Tatsuro Mitsuse; Miwa Ito; Yuichiro Arima; Daisuke Sueta; Aya Takahashi; Satomi Iwashita; Eiichiro Yamamoto; Sunao Kojima; Seiji Hokimoto; Kenichi Tsujita
Journal:  J Am Heart Assoc       Date:  2017-04-24       Impact factor: 5.501

10.  Fibrin clot properties independently predict adverse clinical outcome following acute coronary syndrome: a PLATO substudy.

Authors:  Wael Sumaya; Lars Wallentin; Stefan K James; Agneta Siegbahn; Katja Gabrysch; Maria Bertilsson; Anders Himmelmann; Ramzi A Ajjan; Robert F Storey
Journal:  Eur Heart J       Date:  2018-04-01       Impact factor: 29.983

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