Literature DB >> 35017315

Trade-off of major bleeding versus myocardial infarction on mortality after percutaneous coronary intervention.

Andrew Kei-Yan Ng1, Pauline Yeung Ng2,3, April Ip3, Lap Tin Lam4, Chung-Wah Siu5.   

Abstract

BACKGROUND: The choice of antithrombotic therapy after percutaneous coronary intervention (PCI) is heavily dependent on the relative trade-off between major bleeding (MB) and myocardial infarction (MI). However, the mortality trade-off was mostly described in Western populations and remained unknown in East Asians.
METHOD: This was a retrospective cohort study from 14 hospitals under the Hospital Authority of Hong Kong between 2004 and 2017. Participants were patients undergoing first-time PCI and survived for the first year. Patients were stratified by the presence of MB and MI during the first year. The primary endpoint was all-cause mortality between 1 and 5 years after PCI. The secondary endpoint was cardiovascular mortality.
RESULTS: A total of 32 180 patients were analysed. After adjustment for baseline characteristics and using patients with neither events as reference, the risks of all-cause mortality were increased in patients with MI only (HR, 1.63; 95% CI 1.45 to 1.84; p<0.001), further increased in those with MB only (HR, 2.11, 95% CI 1.86 to 2.39; p<0.001) and highest in those with both (HR, 2.92; 95% CI 2.39 to 3.56; p<0.001). In both Cox regression and propensity score analyses, MB had a stronger impact on all-cause mortality than MI, but similar impact on cardiovascular mortality.
CONCLUSIONS: Both MB and MI within the first year after PCI were associated with increase in all-cause and cardiovascular mortality in Chinese patients, but the impact was stronger with MB. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  acute coronary syndrome; coronary artery disease; myocardial infarction; percutaneous coronary intervention

Mesh:

Year:  2022        PMID: 35017315      PMCID: PMC8753444          DOI: 10.1136/openhrt-2021-001861

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


Major bleeding is the major trade-off from Intensification or prolongation of antithrombotic therapy after percutaneous coronary intervention. Both major bleeding and myocardial infarction were associated with increase in all-cause and cardiovascular mortality in Chinese patients. The association was stronger with major bleeding. Physicians should judiciously place a higher priority on bleeding preventive strategies for Chinese or East Asian patients after percutaneous coronary intervention.

Background

Intensification or prolongation of dual antiplatelet therapy (DAPT) can reduce recurrent ischaemic events in patients undergoing percutaneous coronary intervention (PCI), but with more bleeding events as a trade-off.1–5 Major bleeding (MB) has strong associations with short and long-term mortality.6–10 In studies performed in predominantly Western populations, MB was found to be equally deleterious as myocardial infarction (MI) after PCI.8 11 12 However, East Asians have with a higher vulnerability to bleeding and lower susceptibility to ischaemic events than white patients, known as the East Asian Paradox.13–16 This trade-off between MB and MI on mortality after PCI in East Asians remained unexplored, yet such information would have crucial implication on medical decision making. Currently, there were many uncertainties in the optimal strategy on antithrombotic therapy in this most populous ethnic group.17–19 With the availability of a territory-wide PCI registry in Hong Kong, we sorted to determine relative impact of MB vs MI after PCI on all-cause mortality in Chinese patients.

Methods

Study population and design

Data from all patients who underwent first-time PCI between 1 January 2004 and 31 December 2017 from all 14 government funded hospitals that performed PCI and recorded in a territory-wide PCI registry were reviewed. Patients baseline characteristics, exposures and outcomes were retrieved from the PCI Registry and Clinical Data and Analysis Reporting System. We included all adult patients (18 years of age or older) of Chinese ethnicity who underwent first-time PCI. Exclusion criteria were patients who died before hospital discharge, had MB or MI within 30 days after PCI.

Definitions of exposure and outcome variables

Patients were stratified into four groups in a two-by-two factorial design according to the occurrence of MB and MI between hospital discharge to 365 days after PCI. MB was defined as any fatal bleeding event, bleeding that occurred in the critical sites (intracranial, intra-articular or intramuscular with compartment syndrome, intraocular, pericardial, retroperitoneal), bleeding necessitating transfusion of ≥2 units of blood product, or bleeding that caused a drop in haemoglobin of ≥0.2 g/L, in accordance to the International Society on Thrombosis and Haemostasis (ISTH).20 MI was defined according to the Fourth Universal Definition of Myocardial Infarction.21 We only included MB and MI that occurred after hospital discharge for PCI, similar to previous study.9 11 This time window was justified by the need to focus only on late events occurring in patients already stabilised post-PCI, excluding early events that are largely influenced by index clinical presentation and in-hospital interventional procedures. The primary endpoint was all-cause mortality, as a time-to-first-event analysis between 1 and 5 years after PCI. The secondary endpoints were cardiovascular mortality, defined as death due to cardiac, cerebrovascular and peripheral vascular causes, for the same observation period.

Statistical analysis

All analyses were performed with prespecified endpoints and statistical methods. Unadjusted analyses were made using χ2 tests for categorical variables, Student’s t-test or Wilcoxon rank-sum tests for continuous variables and time-to-first event analysis for estimation of incidence rate. Cox regression analysis was performed to evaluate the independent relationship between late MB and clinical outcomes, adjusting for potential confounders selected a priori based on published data and biological plausibility. Variables adjusted were gender, age, tobacco use, diabetes mellitus, hypertension, dyslipidaemia, cerebrovascular disease, peripheral vascular disease, chronic obstructive pulmonary disease, peripheral artery disease, prior myocardial infarction, prior coronary artery bypass surgery, congestive heart failure, atrial fibrillation or flutter, chronic kidney disease (estimated glomerular filtration rate <60 mL/min/m2, baseline anaemia (haemoglobin <13 g/dL for men, <12 g/dL for women), history of cancer, acute coronary syndrome (ACS), number of epicardial arteries affected and medications on discharge (aspirin, potent P2Y12 inhibitor (ie, ticagrelor or prasugrel), anticoagulation therapy).

Sensitivity analyses

To assess for any residual confounding by treatment selection, we performed falsification testing with new diagnosis of cancer and hip fracture after PCI. It was selected based on its association with mortality but were biologically unlikely to be causally related to MB or MI.22 To assess the relative hazard of MI versus MB, we constructed a propensity score that predicted the likelihood of MB without MI versus MI without MB, using the same variables used in the primary analysis. We generated two groups of patient by 1:1 propensity-score-matching using a calliper of 0.2 times the SD of the logit of the propensity score. Then we compare the primary outcome in the propensity score matched cohort without further adjustment. In the primary and secondary analysis, the complete case method was adopted to address missing data. To test the robustness of our results, the regression analysis was repeated with the entire cohort using the technique of multiple imputations by chained equations to account for missing data.

Exploratory analyses

We explored effect modifications of the relationship between MB and MI on all-cause mortality in predefined subgroups, using the propensity matched cohort constructed in the sensitivity analysis. Predefined subgroups examined were sex, age >65, ACS, chronic kidney disease and baseline anaemia. Data management and statistical analyses were performed in Stata software, V.16 (StataCorp LP). A two-tailed p value of less than 0.05 was considered statistically significant. For each endpoint, Bonferroni correction was adopted to control for multiple comparison (ie, p value is considered significant only if it is less than 0.05 divided by the number of pair-wise comparison within that outcome).

Results

Patients and characteristics

Between January 2004 and December 2017, a total of 36 344 patients were considered for inclusion: 4144 were excluded due to any of the following exclusion criteria—occurrence of any post-PCI MI or MB before hospital discharge, death within 1 year after PCI, or ethnicity not Chinese. The remaining 32 180 patients were included as the cohort for imputation analysis. A total of 2076 (6.5%) patients were excluded from the complete case analysis due to missing values in any of the variables used in the Cox regression model (figure 1).
Figure 1

Study profile. PCI, percutaneous coronary intervention.

Study profile. PCI, percutaneous coronary intervention. Among the 30 104 patients who entered the primary analysis model as complete case, 27 109 (90.0%) had neither postdischarge MI or MB, 1640 (5.4%) had MI only, 1123 (3.7%) had MB only and 232 (0.8%) had both MI and MB within the first year. Patients with MB were more commonly female, older and having comorbidities including diabetes, hypertension, cerebrovascular disease, chronic kidney disease and anaemia. Patients with MI generally had more prior MI and presenting as ACS. Table 1 shows the baseline and characteristics of the study population.
Table 1

Baseline characteristics of patients stratified according to presence of myocardial infarction and major bleeding

CharacteristicsNeitherMI onlyMB onlyBothP value
N27 10916401123232
Female sex6454 (23.8%)440 (26.8%)353 (31.4%)87 (37.5%)<0.001
Age, mean (SD)64.3 (11.2)66.3 (11.7)68.6 (11.1)67.7 (11.3)<0.001
Age >7513 044 (48.1%)921 (56.2%)723 (64.4%)148 (63.8%)<0.001
Tobacco use12 688 (46.8%)762 (46.5%)427 (38.0%)92 (39.7%)<0.001
Diabetes mellitus9357 (34.5%)686 (41.8%)519 (46.2%)133 (57.3%)<0.001
Hypertension17 037 (62.8%)1169 (71.3%)865 (77.0%)191 (82.3%)<0.001
Dyslipidaemia17 313 (63.9%)1042 (63.5%)691 (61.5%)149 (64.2%)0.46
Cerebrovascular disease2342 (8.6%)217 (13.2%)163 (14.5%)47 (20.3%)<0.001
Chronic obstructive pulmonary disease629 (2.3%)72 (4.4%)35 (3.1%)6 (2.6%)<0.001
Peripheral artery disease309 (1.1%)44 (2.7%)40 (3.6%)15 (6.5%)<0.001
Prior myocardial infarction3281 (12.1%)335 (20.4%)200 (17.8%)58 (25.0%)<0.001
Prior CABG407 (1.5%)41 (2.5%)19 (1.7%)4 (1.7%)0.017
Congestive heart failure1842 (6.8%)258 (15.7%)169 (15.0%)58 (25.0%)<0.001
Atrial fibrillation or flutter1228 (4.5%)124 (7.6%)105 (9.3%)20 (8.6%)<0.001
Chronic kidney disease (eGFR <60 mL/min/m2)4498 (16.6%)475 (29.0%)439 (39.1%)131 (56.5%)<0.001
Anaemia at baseline*7569 (27.9%)638 (38.9%)620 (55.2%)161 (69.4%)<0.001
History of cancer1246 (4.6%)81 (4.9%)105 (9.3%)18 (7.8%)<0.001
Acute coronary syndrome21 528 (79.4%)1406 (85.7%)899 (80.1%)202 (87.1%)<0.001
Number of epicardial arteries affected<0.001
 One vessel12 451 (45.9%)572 (34.9%)444 (39.5%)60 (25.9%)
 Two vessels9086 (33.5%)562 (34.3%)383 (34.1%)85 (36.6%)
 Three vessels5572 (20.6%)506 (30.9%)296 (26.4%)87 (37.5%)
Aspirin on discharge26 327 (97.1%)1611 (98.2%)1101 (98.0%)228 (98.3%)0.011
P2Y12 inhibitor on discharge26 766 (98.7%)1626 (99.1%)1105 (98.4%)230 (99.1%)0.31
Potent P2Y12 inhibitor on discharge†2995 (11.0%)140 (8.5%)95 (8.5%)16 (6.9%)<0.001
Anti-coagulation on discharge796 (2.9%)60 (3.7%)86 (7.7%)7 (3.0%)<0.001
Proton pump inhibitor on discharge13 209 (48.7%)800 (48.8%)668 (59.5%)124 (53.4%)<0.001
Duration of DAPT, median (IQR)365 (187–401)368 (174–505)365 (102–403)370 (150–535)<0.001

*Anaemia: haemoglobin <13 g/dL for men, <12 g/dL for women.

†Prasugrel or ticagrelor were considered as potent P2Y12 inhibitors.

CABG, coronary artery bypass grafting; DAPT, dual antiplatelet therapy; eGFR, estimated glomerular filtration rate; MB, major bleeding; MI, myocardial infarction.

Baseline characteristics of patients stratified according to presence of myocardial infarction and major bleeding *Anaemia: haemoglobin <13 g/dL for men, <12 g/dL for women. †Prasugrel or ticagrelor were considered as potent P2Y12 inhibitors. CABG, coronary artery bypass grafting; DAPT, dual antiplatelet therapy; eGFR, estimated glomerular filtration rate; MB, major bleeding; MI, myocardial infarction.

Primary outcome

During the observation period, the crude annualised mortality rates were 2.28%, 5.77%, 8.40% and 16.25% for patients with neither event, with MI only, with MB only and with both, respectively (table 2). In adjusted analysis, compared with those with neither event, the risks of all-cause mortality were elevated in patient with MI only (HR, 1.63; 95% CI 1.45 to 1.84; p<0.001), further elevated in those with MB only (HR, 2.11, 95% CI 1.86 to 2.39; p<0.001) and highest in those with both events (HR, 2.92; 95% CI 2.39 to 3.56; p<0.001). All differences were statistically significant after Bonferroni correction for multiple comparison between all pair-wise comparison (figure 2 and table 3).
Table 2

Unadjusted annualised risks (95% CI) of primary and secondary outcomes

OutcomesNeitherMI onlyMB onlyBoth
Primary
All-cause mortality2.28%(2.19% to 2.38%)5.77%(5.18% to 6.44%)8.40%(7.49% to 9.41%)16.25%(13.43% to 19.66%)
Secondary
Cardiovascular mortality0.66%(0.61% to 0.71%)2.33%(1.97% to 2.77%)2.25%(1.80% to 2.80%)6.90%(5.15% to 9.24%)

MB, major bleeding; MI, myocardial infarction.

Figure 2

Estimated probability of the primary outcome of all-cause mortality. Patients without myocardial infarction (MB) or major bleeding (MB) within 1 year after index procedure had best survivals, and those with both had worst survivals. Patients with MB only had survivals better than those with MI only. PCI, percutaneous coronary intervention.

Table 3

Adjusted HRs of primary and secondary outcomes

OutcomesNeitherMI onlyMB onlyBoth
HR (95% CI)P valueHR (95% CI)P valueHR (95% CI)P value
Primary
All-cause mortalityReference1.63(1.45 to 1.84)<0.0012.11(1.86 to 2.39)<0.0012.92(2.39 to 3.56)<0.001
Reference1.29(1.10 to 1.52)0.0011.79(1.43 to 2.23)<0.001
Reference1.38(1.10 to 1.73)0.005
Secondary
Cardiovascular mortalityReference2.18(1.80 to 2.64)<0.0011.83(1.44 to 2.32)<0.0013.72(2.72 to 5.08)<0.001
Reference0.84(0.63 to 1.11)0.2221.70(1.21 to 2.40)0.002
Reference2.03(1.40 to 2.94)<0.001

Due to Bonferroni correction to control for multiple pair-wise comparison, p value is significant only if it is less than 0.0083.

MI, myocardial infarction; MB, major bleeding.

Estimated probability of the primary outcome of all-cause mortality. Patients without myocardial infarction (MB) or major bleeding (MB) within 1 year after index procedure had best survivals, and those with both had worst survivals. Patients with MB only had survivals better than those with MI only. PCI, percutaneous coronary intervention. Unadjusted annualised risks (95% CI) of primary and secondary outcomes MB, major bleeding; MI, myocardial infarction. Adjusted HRs of primary and secondary outcomes Due to Bonferroni correction to control for multiple pair-wise comparison, p value is significant only if it is less than 0.0083. MI, myocardial infarction; MB, major bleeding.

Secondary outcomes

The annualised cardiovascular mortality rates were 0.66%, 2.33%, 2.25% and 6.90% for patients with neither event, with MI only, with MB only and with both, respectively (table 2). In adjusted analysis, the risks of cardiovascular mortality were lowest for patients with neither event and highest for those with both (HR, 3.72; 95% CI 2.72 to 5.08; p<0.001, compared with those with neither), while the risks were similar between those with MI only and MB only (figure 3 and table 3).
Figure 3

Estimated probability of the secondary outcome of cardiovascular mortality. Patients without myocardial infarction (MI) or major bleeding (MB) within 1 year after index procedure had lowest risk of cardiovascular mortality, and those with both had highest risk. Patients with MB only had cardiovascular mortality similar to those with MI only. PCI, percutaneous coronary intervention.

Estimated probability of the secondary outcome of cardiovascular mortality. Patients without myocardial infarction (MI) or major bleeding (MB) within 1 year after index procedure had lowest risk of cardiovascular mortality, and those with both had highest risk. Patients with MB only had cardiovascular mortality similar to those with MI only. PCI, percutaneous coronary intervention. Falsification testing showed that MI and/or MB was not associated with new cancer diagnosis. The risks of new cancer diagnosis was similar for patients with MI only (HR, 1.10; 95% CI 0.86 to 1.40, p=0.451), with MB only (HR, 0.84; 95% CI 0.59 to 1.19; p=0.321) and with both (HR, 1.55; 95% CI 0.85 to 2.82, p=0.154). The pair-wise comparisons were shown in online supplemental table S1. These findings were suggestive of no significant residual confounding. Using propensity score matching, a total of 2236 (1118 pairs with each pair having one patient from the MI only group and one from the MB only group) patients were included. The baseline characteristics were well balanced between groups with standardised difference <0.1 in all baseline variables (online supplemental table S2). Compared with those with MI only, patients with MB only had a higher risk of all-cause mortality (HR, 1.23; 95% CI 1.04 to 1.46, p=0.015) but similar cardiovascular mortality (HR, 0.78; 95% CI 0.58 to 1.05; p=0.100). These findings were in agreement with the main analysis. A total of five variables in the Cox regression model had missing data (figure 1). To address the issue with missing data, multiple imputation by chained equations was conducted. The imputed cohort included all 2076 (6.5%) patients who were excluded due to missing values in any of the variables used in the model. In the imputed dataset, the risks of all-cause mortality were significantly higher in patients with MI only (HR, 1.64; 95% CI 1.46 to 1.83; p<0.001), with MB only (HR, 2.13; 95% CI 1.90 to 2.40; p<0.001) and with both (HR, 2.89; 95% CI 2.38 to 3.51, p<0.001), consistent with the complete case cohort. The risks of cardiovascular mortality also yielded the same patterns as the complete case cohort (online supplemental table S3). In the subgroup analysis, the effects of MB versus MI on all-cause mortality was modified by age and sex, but not by ACS, chronic kidney disease and baseline anaemia. Male sex and age <65 were subgroups that MB had a more pronounced impact on mortality compared with MI (figure 4 and table 4).
Figure 4

Forest plot for subgroup analysis. In the propensity matched cohort, patients with major bleeding (MB) only has higher all-cause mortality than those with myocardial infarction (MI) only. The effect was more pronounced in male and younger patients.

Table 4

Subgroup analysis in the propensity matched cohort

SubgroupHR(95% CI)P value for interaction
Primary outcome: all-cause mortality
All patients
Sex0.031
 Male1.40 (1.14 to 1.73)
 Female0.95 (0.72 to 1.27)
Age group0.020
 Age <651.69 (1.22 to 2.35)
 Age ≥651.07 (0.88 to 1.31)
Acute coronary syndrome0.806
 No1.31 (0.85 to 2.02)
 Yes1.22 (1.02 to 1.47)
 NSTE-ACS1.18 (0.97 to 1.44)0.506
 STEMI1.42 (0.81 to 2.49)
Chronic kidney disease0.192
 No1.04 (0.78 to 1.39)
 Yes1.31 (1.07 to 1.62)
Baseline anaemia0.854
 No1.17 (0.82 to 1.66)
 Yes1.21 (1.00 to 1.47)

Patients with major bleeding only compared with myocardial infarction only.

NSTE-ACS, non-ST elevation acute coronary syndrome; STEMI, ST elevation myocardial infarction.

Forest plot for subgroup analysis. In the propensity matched cohort, patients with major bleeding (MB) only has higher all-cause mortality than those with myocardial infarction (MI) only. The effect was more pronounced in male and younger patients. Subgroup analysis in the propensity matched cohort Patients with major bleeding only compared with myocardial infarction only. NSTE-ACS, non-ST elevation acute coronary syndrome; STEMI, ST elevation myocardial infarction.

Discussion

In this territory-wide PCI registry with exclusive Chinese patients, survivors with postdischarge MB and MI within 1 year after PCI were associated with significantly increased long-term all-cause mortality and cardiovascular mortality. Both MB and MI had incremental adverse impact on mortality, but the impact was stronger with MB. Previous studies performed in predominantly Western populations observed that only severe MB, but not any overt MB, carries similar prognostic impact on mortality as with MI.11 12 Such observations suggest that it might be fair to pursue a more intense antiplatelet regimen to avoid an MI even at the expense of mild-to-moderate bleeding in patients with high ischaemic risk.11 They also challenge the inclusion of less severe bleeding that are more frequent but less prognostically significant into net clinical outcome in drug trials.11 However these postulations may not be applicable in East Asians. Since East Asians have different thrombotic and bleeding profiles from white patients,13–16 the ischaemia-bleeding trade-off maybe different in East Asians. Our study suggested that MB maybe prognostically more important than MI in East Asian patients, and therefore physicians may reasonably pursue a less intense antiplatelet regimen to avoid MB even at the expense of higher ischaemic risk. This differential trade-off may explain why ticagrelor was able to reduce major adverse cardiac events (MACE) and all-cause mortality compared with clopidogrel in many international randomised controlled trials (RCT),1 23 but similar findings cannot be replicated in East Asian populations.24 25 Notably, the TICA-KOREA study randomised 800 Koreans with ACS to ticagrelor or clopidogrel, and found an increase in major bleeding and fatal bleeding with ticagrelor, along with a numerically higher incidence of ischaemic events.25 Similarly, extended duration of DAPT beyond 12 months after PCI was shown to reduce MACE and mortality in international RCT, but benefits were limited to non-East Asian studies.4 26 Taken together, these patterns and our current findings strongly suggest that DAPT intensity and duration should be weighed considering the trade-off between the race-specific ischaemic versus bleeding risks of the patient. Current major international guidelines have called for more research specifically on East Asians given the paucity of data,18 19 27 and therefore our findings will be valuable to develop more precise and evidence-based guideline recommendations. Potent P2Y12 inhibitors or addition of oral anti-coagulation therapy were shown to improve ischaemic outcomes in patients with ACS, but at a cost of excessive bleeding events.1–4 Most of these trials failed to show any mortality benefit, which in conjuncture with our findings suggested that bleeding is also detrimental to overall survival. Our observation of a stronger mortality impact with MB than MI was different from previous studies.11 12 Apart from ethnicity, another possible explanation was the long duration of follow-up (up to 5 years). In a post-hoc analysis of 13 819 patients, mortality impact of MB was sustained over time up to 1 year after the event, whereas the mortality impact of MI rapidly dissipated and was no longer significant after 30 days.12 Therefore the excess mortality associated with MB may accrue over time more significantly than MI. Although it may be challenging to reconcile with other studies that showed an opposite temporal association of ischaemia and bleeding with mortality,28 29 these observations highlighted the importance of longer follow-up period in clinical trials assessing the trade-off between ischaemia and bleeding. Our cohort only included survivors with (or without) MB and MI, because our objective was to evaluate the long-term impact of those events, while the short-term survival is heavily influenced by the severity and clinical management of those events. In this perspective, prevention of these events becomes the only viable strategy to improve outcomes. Since survival is considered the most valuable outcome in the patients’ perspective,30 our findings suggest that bleeding avoidance is at least equally or even more important than prevention of future ischaemic events in Chinese patients undergoing PCI. Evidence supported strategies to reduce bleeding events after PCI include shorter DAPT duration, de-escalation of potent P2Y12 inhibitors, and ulcer prophylaxis with proton pump inhibitors.31–36 Physicians should judiciously place a higher priority on employment of these strategies for Chinese or East Asian patients. Net clinical benefit outcomes have been emerging as a popular endpoint to account for both anti-ischaemic and bleeding effect. However, this practice maybe inadequate and poses challenges to appropriately interpreting clinical trials.37 To overcome this limitation of the classic time-to-event analysis, alternative statistical approaches of ranking or weighing events according to their clinical significance can minimise imbalances from differences in direction and impact of an individual component of the endpoint.38–40 Our study could provide useful information on a more objective way to rank or weigh ischaemic and bleeding events in East Asian populations. This study had some limitations. First, the observational nature of the study conferred risks of unmeasured confounding and bias, but we had adjusted extensively by Cox regression model for potential confounders, and the findings were consistent in multiple sensitivity analyses including propensity score models, falsification analysis and multiple imputation by chained equation. Nonetheless, the impact of MB and MI, by nature, cannot be studied in a randomised setting. Second, this study included only Chinese patients and may not be generalisable across other ethnic groups. Third, our study described the event–survival relationship in survivors only, and direct MB or MI related death during the first year of PCI was not examined. Fourth, our definition of bleeding was according to the ISTH, which slightly differ from the more commonly referenced type 3 or 5 Bleeding Academic Research Consortium (BARC). However, a type 3b BARC bleeding (requiring surgical intervention or vasoactive agents) is similarly represented in the ISTH definition of drop in haemoglobin >2 g/dL and/or blood transfusion, and therefore unlikely to change the association observed in our study.

Conclusion

In a large registry with exclusive Chinese patients, MB and MI within the first year after PCI were associated with significantly increase long-term mortality and cardiovascular mortality. Both MB and MI had incremental adverse impact on mortality, but the impact was stronger with MB.
  40 in total

1.  Incidence, Predictors, and Impact of Post-Discharge Bleeding After Percutaneous Coronary Intervention.

Authors:  Philippe Généreux; Gennaro Giustino; Bernhard Witzenbichler; Giora Weisz; Thomas D Stuckey; Michael J Rinaldi; Franz-Josef Neumann; D Christopher Metzger; Timothy D Henry; David A Cox; Peter L Duffy; Ernest Mazzaferri; Mayank Yadav; Dominic P Francese; Tullio Palmerini; Ajay J Kirtane; Claire Litherland; Roxana Mehran; Gregg W Stone
Journal:  J Am Coll Cardiol       Date:  2015-09-01       Impact factor: 24.094

2.  Timing of mortality after severe bleeding and recurrent myocardial infarction in patients with ST-segment-elevation myocardial infarction.

Authors:  Wouter J Kikkert; Aeilko H Zwinderman; Marije M Vis; Jan Baan; Karel T Koch; Ron J Peters; Robbert J de Winter; Jan J Piek; Jan G P Tijssen; José P S Henriques
Journal:  Circ Cardiovasc Interv       Date:  2013-08-13       Impact factor: 6.546

3.  Refining clinical trial composite outcomes: an application to the Assessment of the Safety and Efficacy of a New Thrombolytic-3 (ASSENT-3) trial.

Authors:  Paul W Armstrong; Cynthia M Westerhout; Frans Van de Werf; Robert M Califf; Robert C Welsh; Robert G Wilcox; Jeffrey A Bakal
Journal:  Am Heart J       Date:  2011-04-07       Impact factor: 4.749

4.  The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities.

Authors:  Stuart J Pocock; Cono A Ariti; Timothy J Collier; Duolao Wang
Journal:  Eur Heart J       Date:  2011-09-06       Impact factor: 29.983

5.  Dual Antiplatelet Therapy after PCI in Patients at High Bleeding Risk.

Authors:  Marco Valgimigli; Enrico Frigoli; Dik Heg; Jan Tijssen; Peter Jüni; Pascal Vranckx; Yukio Ozaki; Marie-Claude Morice; Bernard Chevalier; Yoshinobu Onuma; Stephan Windecker; Pim A L Tonino; Marco Roffi; Maciej Lesiak; Felix Mahfoud; Jozef Bartunek; David Hildick-Smith; Antonio Colombo; Goran Stanković; Andrés Iñiguez; Carl Schultz; Ran Kornowski; Paul J L Ong; Mirvat Alasnag; Alfredo E Rodriguez; Aris Moschovitis; Peep Laanmets; Michael Donahue; Sergio Leonardi; Pieter C Smits
Journal:  N Engl J Med       Date:  2021-08-28       Impact factor: 91.245

6.  Prasugrel versus clopidogrel in patients with acute coronary syndromes.

Authors:  Stephen D Wiviott; Eugene Braunwald; Carolyn H McCabe; Gilles Montalescot; Witold Ruzyllo; Shmuel Gottlieb; Franz-Joseph Neumann; Diego Ardissino; Stefano De Servi; Sabina A Murphy; Jeffrey Riesmeyer; Govinda Weerakkody; C Michael Gibson; Elliott M Antman
Journal:  N Engl J Med       Date:  2007-11-04       Impact factor: 91.245

7.  Ticagrelor versus clopidogrel in patients with acute coronary syndromes.

Authors:  Lars Wallentin; Richard C Becker; Andrzej Budaj; Christopher P Cannon; Håkan Emanuelsson; Claes Held; Jay Horrow; Steen Husted; Stefan James; Hugo Katus; Kenneth W Mahaffey; Benjamin M Scirica; Allan Skene; Philippe Gabriel Steg; Robert F Storey; Robert A Harrington; Anneli Freij; Mona Thorsén
Journal:  N Engl J Med       Date:  2009-08-30       Impact factor: 91.245

8.  Defining high bleeding risk in patients undergoing percutaneous coronary intervention: a consensus document from the Academic Research Consortium for High Bleeding Risk.

Authors:  Philip Urban; Roxana Mehran; Roisin Colleran; Dominick J Angiolillo; Robert A Byrne; Davide Capodanno; Thomas Cuisset; Donald Cutlip; Pedro Eerdmans; John Eikelboom; Andrew Farb; C Michael Gibson; John Gregson; Michael Haude; Stefan K James; Hyo-Soo Kim; Takeshi Kimura; Akihide Konishi; John Laschinger; Martin B Leon; P F Adrian Magee; Yoshiaki Mitsutake; Darren Mylotte; Stuart Pocock; Matthew J Price; Sunil V Rao; Ernest Spitzer; Norman Stockbridge; Marco Valgimigli; Olivier Varenne; Ute Windhoevel; Robert W Yeh; Mitchell W Krucoff; Marie-Claude Morice
Journal:  Eur Heart J       Date:  2019-08-14       Impact factor: 29.983

9.  Comparative Efficacy and Safety of Oral P2Y12 Inhibitors in Acute Coronary Syndrome: Network Meta-Analysis of 52 816 Patients From 12 Randomized Trials.

Authors:  Eliano P Navarese; Safi U Khan; Michalina Kołodziejczak; Jacek Kubica; Sergio Buccheri; Christopher P Cannon; Paul A Gurbel; Stefano De Servi; Andrzej Budaj; Antonio Bartorelli; Daniela Trabattoni; E Magnus Ohman; Lars Wallentin; Matthew T Roe; Stefan James
Journal:  Circulation       Date:  2020-05-29       Impact factor: 29.690

Review 10.  2020 Asian Pacific Society of Cardiology Consensus Recommendations on Antithrombotic Management for High-risk Chronic Coronary Syndrome.

Authors:  Jack Wei Chieh Tan; Derek P Chew; David Brieger; John Eikelboom; Gilles Montalescot; Junya Ako; Byeong-Keuk Kim; David Kl Quek; Sarah J Aitken; Clara K Chow; Sok Chour; Hung Fat Tse; Upendra Kaul; Isman Firdaus; Takashi Kubo; Boon Wah Liew; Tze Tec Chong; Kenny Yk Sin; Hung-I Yeh; Wacin Buddhari; Narathip Chunhamaneewat; Faisal Hasan; Keith Aa Fox; Quang Ngoc Nguyen; Sidney Th Lo
Journal:  Eur Cardiol       Date:  2021-06-18
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