Skip to main content
JACC Asia logoLink to JACC Asia
. 2022 Apr 12;2(3):294–308. doi: 10.1016/j.jacasi.2021.12.012

Modifiers of the Risk of Diabetes for Long-Term Outcomes After Coronary Revascularization

CREDO-Kyoto PCI/CABG Registry

Kyohei Yamaji a, Hiroki Shiomi b, Takeshi Morimoto c, Yukiko Matsumura-Nakano b, Natsuhiko Ehara d, Hiroki Sakamoto e, Yasuaki Takeji b, Yusuke Yoshikawa b, Ko Yamamoto b, Eri T Kato b, Kazuaki Imada a, Takeshi Tada f, Ryoji Taniguchi g, Ryusuke Nishikawa e, Tomohisa Tada e, Takashi Uegaito h, Tatsuya Ogawa i, Miho Yamada j, Teruki Takeda k, Hiroshi Eizawa l, Nobushige Tamura m, Keiichi Tambara n, Satoru Suwa o, Manabu Shirotani p, Toshihiro Tamura q, Moriaki Inoko r, Junichiro Nishizawa s, Masahiro Natsuaki t, Hiroshi Sakai u, Takashi Yamamoto u, Naoki Kanemitsu v, Nobuhisa Ohno w, Katsuhisa Ishii x, Akira Marui y, Hiroshi Tsuneyoshi z, Yasuhiko Terai aa, Shogo Nakayama bb, Kazuhiro Yamazaki cc, Mamoru Takahashi dd, Takashi Tamura ee, Jiro Esaki ff, Shinji Miki gg, Tomoya Onodera hh, Hiroshi Mabuchi k, Yutaka Furukawa d, Masaru Tanaka ii, Tatsuhiko Komiya jj, Yoshiharu Soga y, Michiya Hanyu kk, Takenori Domei a, Kenji Ando a, Kazushige Kadota f, Kenji Minatoya cc, Yoshihisa Nakagawa u, Takeshi Kimura b,∗; CREDO-Kyoto PCI/CABG Registry Investigators, on behalf of the
PMCID: PMC9675601  PMID: 36411876

Abstract

Background

Diabetes is a well-known risk factor for adverse outcomes after coronary revascularization.

Objectives

This study sought to determine high-risk subgroups in whom the excess risks of diabetes relative to nondiabetes are particularly prominent and thus may benefit from more aggressive interventions.

Methods

The study population consisted of 39,427 patients (diabetes: n = 15,561; nondiabetes: n = 23,866) who underwent first percutaneous coronary intervention (n = 33,144) or coronary artery bypass graft (n = 6,283) in the pooled CREDO-Kyoto PCI/CABG (Coronary Revascularization Demonstrating Outcome Study in Kyoto Percutaneous Coronary Intervention/Coronary Artery Bypass Graft) registry. The primary outcome measure was major adverse cardiovascular and cerebral endpoints (MACCE), which was defined as a composite of all-cause death, myocardial infarction, and stroke.

Results

With median follow-up of 5.6 years, diabetes was associated with significantly higher adjusted risks for MACCE. The excess adjusted risks of diabetes relative to nondiabetes for MACCE increased with younger age (≤64 years: adjusted HR: 1.30; 95% CI: 1.19-1.41; P < 0.001; 64-73 years: adjusted HR: 1.24; 95% CI: 1.16-1.33; P < 0.001; >73 years: adjusted HR: 1.17; 95% CI: 1.10-1.23; P < 0.001; Pinteraction < 0.001), mainly driven by greater excess adjusted mortality risk of diabetes relative to nondiabetes in younger tertile. No significant interaction was observed between adjusted risk of diabetes relative to nondiabetes for MACCE and other subgroups such as sex, mode of revascularization, and clinical presentation of acute myocardial infarction.

Conclusions

The excess risk of diabetes relative to nondiabetes for MACCE was profound in the younger population. This observation suggests more aggressive interventions for secondary prevention in patients with diabetes might be particularly relevant in younger patients.

Key Words: coronary artery bypass graft, diabetes, percutaneous coronary intervention

Abbreviations and Acronyms: AMI, acute myocardial infarction; CABG, coronary artery bypass graft; MACCE, major adverse cardiovascular and cerebral endpoints; MI, myocardial infarction; PCI, percutaneous coronary intervention; RCT, randomized controlled trial; TVR, target vessel revascularization

Central Illustration

graphic file with name fx1.jpg


Despite recent advances in the treatment of diabetes, diabetes remains an established risk factor for adverse macrovascular and microvascular events in the general population,1, 2, 3, 4, 5 as well as in patients with either established atherosclerosis or significant risk factors for atherosclerosis.6,7 Cardiovascular disease is a leading cause of death in patients with diabetes, reinforcing the need for aggressive cardiovascular risk reduction in this population, especially among those who already have atherosclerotic cardiovascular disease. Coronary revascularization is often needed in patients with diabetes, and it is well known that patients with diabetes, compared with those without, have higher risk for adverse cardiovascular events after coronary revascularization.6, 7, 8, 9 However, it remains unclear whether there are some patient subgroups in whom the excess risks of diabetes relative to nondiabetes are particularly prominent for adverse clinical outcomes after coronary revascularization and thus may benefit from more aggressive interventions for secondary prevention. Therefore, we aimed to identify the factors that modify the cardiovascular and noncardiovascular risk of diabetes relative to nondiabetes after coronary revascularization with percutaneous coronary intervention (PCI) or with coronary artery bypass graft (CABG) in a large-scale Japanese pooled population.

Methods

Study population

The CREDO-Kyoto (Coronary Revascularization Demonstrating Outcome Study in Kyoto) PCI/CABG registry cohorts 1, 2, and 3 are a series of physician-initiated, non–company-sponsored, multicenter registries enrolling consecutive patients who underwent first coronary revascularization with PCI or CABG in Japan. We enrolled only patients with stable coronary artery disease in cohort 1, excluding those with acute myocardial infarction (AMI) within a week before the index procedure. Cohort 1 enrolled 9,877 patients from 21 centers between January 1, 2000, and December 31, 2002, in the bare-metal stent era.10 Cohort 2 enrolled 15,939 patients from 26 centers between January 1, 2005, and December 31, 2007, after the introduction of drug-eluting stents in 2004.11 Cohort 3 enrolled 14,927 patients from 22 centers between January 1, 2011, and December 31, 2013, after the approval of new-generation drug-eluting stents in 2010 (Supplemental Appendix A). We pooled the 3 cohorts with a total of 40,743 patients. From the pooled population, we excluded 1,093 who had undergone combined noncoronary surgery, 207 patients who refused to participate in the registry, and 4 patients in cohort 1 who presented with AMI (violation for the inclusion criteria). After further excluding 12 patients with unknown diabetes status, the final study population consisted of 39,427 patients (15,561 patients with diabetes and 23,866 patients without diabetes) of whom 33,144 patients underwent PCI and 6,283 patients underwent CABG (Figure 1). For the subgroup analysis stratified by the clinical presentation of AMI and non-AMI, we excluded 9,329 patients from cohort 1 and obtained the data set of 30,098 patients (11,909 patients with diabetes and 18,189 patients without diabetes) (Figure 1).

Figure 1.

Figure 1

Study Flowchart

Among the final study population of 39,427 patients, 15,561 patients had diabetes and 23,866 patients did not have diabetes. AMI = acute myocardial infarction; CABG = coronary artery bypass graft; CREDO-Kyoto = Coronary Revascularization Demonstrating Outcome Study in Kyoto; DM = diabetes mellitus; PCI = percutaneous coronary intervention.

The relevant ethics committees in all the participating centers approved the study protocol. Because enrollment was retrospective, written informed consent from the patients was waived; however, we excluded the 207 patients who refused to participate in the study when contacted for follow-up. This strategy is concordant with the guidelines of the Japanese Ministry of Health, Labor and Welfare.

Definitions and outcome measures

The definitions for baseline characteristics were consistent across the 3 cohorts. Patients with diabetes were defined as those receiving treatment with oral hypoglycemic agents or insulin, those with prior clinical diagnosis of diabetes, those with hemoglobin A1c levels of ≥6.5%, and those with nonfasting blood glucose levels of ≥200 mg/dL. Hemoglobin A1c levels were expressed in National Glycohemoglobin Standardization Program percentages. Left ventricular ejection fraction was measured either by left ventriculography or echocardiography. Prior stroke was defined as an ischemic or hemorrhagic stroke with neurological symptoms lasting >24 hours. Peripheral vascular disease was regarded as present when carotid, aortic, or other peripheral vascular diseases were being treated or when affected patients were scheduled for surgical or endovascular interventions. Renal function was expressed as estimated glomerular filtration rate and calculated according to the Modification of Diet in Renal Disease formula modified for Japanese patients.12 High-intensity statin therapy was defined as atorvastatin doses of ≥ 20 mg, fluvastatin doses of ≥40 mg, pitavastatin doses of ≥4 mg, rosuvastatin doses of ≥10 mg, or simvastatin doses of ≥20 mg.

The primary outcome measure in the present study were major adverse cardiovascular and cerebral endpoints (MACCE), defined as a composite of all-cause death, myocardial infarction (MI), and stroke. We also assessed a respective endpoint of all-cause death, cardiovascular death, noncardiovascular death, MI, stroke, target vessel revascularization (TVR), any coronary revascularization, and heart failure hospitalization. The definitions for outcome measures were consistent across the 3 cohorts. Death was regarded as cardiac in origin, unless obvious noncardiac causes could be identified; thus, death from an unknown cause and any death during the index hospitalization for coronary revascularization were regarded as cardiac death. Cardiovascular death included cardiac death and other death related to stroke, renal disease, and vascular disease. MI was adjudicated according to the ARTS (Arterial Revascularization Therapies Study) definition in which only Q-wave MI was regarded as myocardial infarction when it occurred within 7 days of the index procedure.13 Stroke was defined as an ischemic or hemorrhagic stroke with neurological symptoms lasting >24 hours. TVR was defined as either PCI or CABG performed for restenosis, thrombosis, de novo disease progression of the target vessel, or graft failure. Any coronary revascularization was defined as either PCI or CABG for any reasons. Heart failure hospitalization was defined as hospitalization for worsening heart failure requiring intravenous drug therapy.

Data collection for baseline characteristics and follow-up events

Clinical, angiographic, and procedural data were collected from the hospital charts or hospital databases according to the prespecified definitions by experienced clinical research coordinators from the Research Institute for Production Development (Kyoto, Japan) (Supplemental Appendix B). Follow-up data were collected from the hospital charts or obtained through contact with patients, their relatives, or the referring physicians. Clinical events after the index procedure were assessed as follow-up events, except for scheduled staged coronary revascularization procedures performed within 3 months of the index procedure, which were regarded as part of the index procedure. The clinical event committee determined whether any incidents were clinical events (Supplemental Appendix C).

Statistical analysis

Data for categorical variables were calculated as numbers and percentages and were compared using chi-square test with Yates' continuity correction. Data for continuous variables were expressed as mean ± SD or as median (IQR) and were compared using Student’s t-test or the Wilcoxon rank-sum test. HRs and their 95% CIs were calculated using univariate or multivariable Cox proportional hazard models to estimate the risk of diabetes relative to nondiabetes on the clinical outcome measures. Clinically relevant variables listed in Table 1 were simultaneously included in the multivariable models as the explanatory variables to adjust for the baseline characteristics. The enrollment periods of cohorts 1, 2, and 3 were also included as a stratification variable to fit separate baseline hazard functions. We explored the 4 potential modifiers of the risk of diabetes relative to nondiabetes for clinical outcome measures in the subgroup analyses (age tertiles, sex, mode of revascularization of PCI or CABG, and clinical presentation of AMI or non-AMI). The potential risk modifiers were arbitrarily selected based on clinical relevance. In the subgroup analyses, we added the interaction variables in the multivariable models. We calculated a type III sum of squares to estimate the effect of interactions. Because we did not enroll patients with AMI in cohort 1, we excluded those who were included in cohort 1 from subgroup analysis of clinical presentation of AMI or non-AMI. To confirm the interaction between diabetes status and mode of revascularization in patients with complex coronary artery disease, the subgroup analysis for the mode of revascularization was also conducted in patients with complex coronary artery disease (defined as either multivessel disease or left main coronary artery disease) as a sensitivity analysis. As another sensitivity analysis, we stratified the patients according to the enrollment periods of cohorts 1, 2, and 3. The explanatory variable of AMI was removed in the models for patients enrolled in cohort 1.

Table 1.

Baseline Characteristics: Diabetes Versus Nondiabetes

Diabetes (n = 15,561) Nondiabetes (n = 23,866) P Value
Clinical characteristics
 Age, y 67.9 ± 10.0 68.8 ± 11.2 <0.001
 Age, tertilesa <0.001
 ≤64 y 5,419 (34.8) 7,835 (32.8)
 64-73 y 5,377 (34.6) 7,194 (30.1)
 >73 y 4,765 (30.6) 8,837 (37.0)
 Mena 11,163 (71.7) 17,387 (72.9) 0.02
 Body mass index, kg/m2 24.1 ± 3.6 23.5 ± 3.4 <0.001
 Body mass index ≥25.0 kg/m2a 5,451 (35.7) 7,010 (30.1) <0.001
 Acute myocardial infarctiona 3,579 (23.0) 6,823 (28.6) <0.001
 ST-segment elevation myocardial infarction 2,791 (17.9) 5,521 (23.1) <0.001
 Hypertensiona 12,666 (81.4) 18,548 (77.7) <0.001
 Hemoglobin A1c, % 7.5 ± 1.5 5.7 ± 0.4 <0.001
 Diabetes mellitus on oral antidiabetes 9,501 (61.1) 0 (0)
 Diabetes mellitus on insulin therapy 3,519 (22.7) 0 (0)
 Current smokinga 4,331 (28.0) 6,903 (29.1) 0.02
 eGFR, mL/min/1.73 m2 62.9 ± 28.8 66.1 ± 26.2 <0.001
 eGFR <30 mL/min/1.73 m2 without dialysisa 952 (6.1) 831 (3.5) <0.001
 Dialysisa 1,027 (6.6) 684 (2.9) <0.001
 Heart failurea,b 3,045 (19.6) 3,748 (15.7) <0.001
 Left ventricular ejection fraction, % 58.2 ± 13.9 60.0 ± 13.0 <0.001
 Left ventricular ejection fraction ≤40% 1,597 (10.3) 1,745 (7.3) <0.001
 Mitral regurgitation grade ≥3/4 663 (5.1) 1,007 (5.1) 1.00
 Prior myocardial infarctiona 2,712 (17.4) 3,284 (13.8) <0.001
 Prior strokea 2,308 (14.8) 2,772 (11.6) <0.001
 Peripheral vascular diseasea 1,701 (10.9) 1,971 (8.3) <0.001
 Atrial fibrillationa 1,328 (8.5) 2,175 (9.1) 0.0503
 Anemia (hemoglobin <11.0 g/dL)a 2,493 (16.0) 2,608 (10.9) <0.001
 Chronic obstructive pulmonary diseasea 434 (2.8) 922 (3.9) <0.001
 Liver cirrhosisa 508 (3.3) 590 (2.5) <0.001
 Malignancya 1,571 (10.1) 2,345 (9.8) 0.39
Procedural characteristics
 Number of target lesions or anastomoses 1.8 ± 1.1 1.6 ± 0.9 <0.001
 Target of left main coronary artery 1,500 (9.6) 1,966 (8.2) <0.001
 Target of proximal LAD 9,756 (67.7) 14,281 (63.4) <0.001
 Target of chronic total occlusion 2,988 (20.7) 3,835 (17.0) <0.001
 Multivessel disease 10,808 (69.5) 13,322 (55.8) <0.001
 Percutaneous coronary intervention 12,481 (80.2) 20,663 (86.6) <0.001
 Total number of stents 1.8 ± 1.4 1.6 ± 1.2 <0.001
 Total stent length, mm 41.5 ± 32.3 36.0 ± 28.0 <0.001
 Stent use 11,531 (92.4) 18,926 (91.6) 0.01
 Drug-eluting stent use 6,924 (60.0) 10,198 (53.9) <0.001
 New-generation drug-eluting stent use 4,048 (35.1) 6,135 (32.4) <0.001
 Coronary artery bypass graft 3,080 (19.8) 3,203 (13.4) <0.001
 Internal thoracic artery use 2,970 (96.4) 3,031 (94.6) <0.001
 Off-pump surgery 1,428 (46.4) 1,463 (45.7) 0.61
Baseline medications
 Aspirin 14,946 (96.1) 22,944 (96.2) 0.71
 P2Y12 receptor blockers 12,075 (77.6) 19,624 (82.3) <0.001
 Cilostazol 1,544 (9.9) 2,347 (9.8) 0.79
 Statins 8,411 (54.1) 12,833 (53.8) 0.58
 High intensity statinsc 215 (1.4) 303 (1.3) 0.36
 Beta-blockers 4,860 (31.3) 7,304 (30.6) 0.19
 ACE inhibitors or angiotensin receptor blockers 8,367 (53.8) 12,015 (50.4) <0.001
 Nitrates 5,395 (34.7) 8,677 (36.4) <0.001
 Calcium channel blockers 7,269 (46.7) 10,435 (43.7) <0.001
 Nicorandil 3,606 (23.2) 4,972 (20.8) <0.001
 Oral anticoagulants 2,166 (13.9) 2,966 (12.4) <0.001
 Warfarin 2,089 (13.4) 2,850 (11.9) <0.001
 Nonvitamin K antagonist oral anticoagulants 79 (0.5) 116 (0.5) 0.82

Values are mean ± SD or n (%). Values were missing for body mass index in 832 patients, for hemoglobin A1c in 10,716 patients, for diabetes mellitus on insulin therapy in 64 patients, for current smoking in 177 patients, for eGFR in 510 patients, for heart failure in 26 patients, for left ventricular ejection fraction in 6,129 patients, for mitral regurgitation in 6,920 patients, for prior myocardial infarction in 15 patients, for prior stroke in 8 patients, for peripheral vascular disease in 8 patients, for atrial fibrillation in 5 patients, for chronic obstructive pulmonary disease in 5 patients, for liver cirrhosis in 12 patients, for malignancy in 6 patients, for baseline medications in 23 patients, and for high-intensity statins in 38 patients.

ACE = angiotensin converting enzyme; eGFR = estimated glomerular filtration rate; LAD = left anterior descending coronary artery.

a

Risk-adjusting variables selected for the Cox proportional hazard models.

b

Heart failure included both prior and current heart failure.

c

High-intensity statin therapy was defined as atorvastatin doses of ≥20 mg, fluvastatin doses of ≥40 mg, pitavastatin doses of ≥4 mg, rosuvastatin doses of ≥10 mg, or simvastatin doses of ≥20 mg.

Two-sided P values of <0.05 indicated statistical significance. We used the R statistical software (version 4.0.2, R Foundation for Statistical Computing) to analyze all the data.

Results

Baseline characteristics

In comparison with patients without diabetes, patients with diabetes were younger (age 67.9 ± 10.0 years vs 68.8 ± 11.2 years; P < 0.001), less likely to be men (71.9% vs 72.9%; P = 0.02), and less often presented with AMI (23.0% vs 28.6%; P < 0.001). Patients with diabetes more often had comorbidities such as hypertension (81.4% vs 77.7%; P < 0.001), chronic renal failure (estimated glomerular filtration rate of <30 mL/min/1.73 m2 without dialysis: 6.1% vs 3.5%; dialysis: 6.6% vs 2.9%; P < 0.001), heart failure (19.6% vs 15.7%; P < 0.001), and anemia (16.0% vs 10.9%; P < 0.001). The previous history of cardiovascular events such as MI (17.4% vs 13.8%; P < 0.001) and stroke (14.8% vs 11.6%; P < 0.001) were more prevalent in patients with diabetes than in those without diabetes (Table 1). Regarding procedural characteristics, multivessel disease was present in 69.5% of patients with diabetes and in 55.8% of patients without diabetes (P < 0.001). PCI was performed in 80.2% of patients with diabetes and in 86.6% of patients without diabetes (P < 0.001). Among 33,144 patients who underwent PCI, 6,335 patients (19.1%) underwent staged PCI within 3 months after the index procedure.

Baseline characteristics were substantially different according to age tertiles, sex, mode of revascularization, and clinical presentation, whereas the differences between patients with versus without diabetes in each subgroup were mostly consistent with those in the entire study population (Supplemental Tables 1 to 4). Younger patients were more likely to be men and had greater body mass index. Current smoking habit was present in 45.5% of patients ≤64 years of age, but only in 15.2% of patients >73 years of age. Older patients more often had the previous history of stroke and had comorbidities such as peripheral vascular disease, atrial fibrillation, anemia, and malignancy. Men, compared with women, less often had anemia and renal failure without dialysis and more often had current smoking habits. Regarding mode of revascularization, patients who underwent PCI more often had AMI presentation, heart failure, and malignancy and less often had prior MI, prior stroke, peripheral vascular disease, and anemia than those who underwent CABG (Supplemental Tables 1 to 4).

Complex coronary artery disease was present in 25,005 patients. Patients with complex coronary artery disease less often presented with AMI, but they were older and more often had comorbidities such as hypertension, diabetes, heart failure, prior MI, prior stroke, and peripheral vascular disease. The vast majority of patients without complex coronary artery disease underwent PCI (Supplemental Table 5).

Baseline characteristics were substantially different across the 3 cohorts. Patients in cohort 3 compared with those in cohort 1 were older and more often had comorbidities such as hypertension, heart failure, mitral regurgitation, and malignancy, but less often had prior histories of MI and stroke (Supplemental Table 6).

Clinical outcomes in the entire study population

Median follow-up duration was 5.6 (IQR: 4.4-6.9) years in the entire study population; 10.6 (IQR: 5.0-11.8) years in cohort 1, 5.1 (IQR: 4.2-5.9) years in cohort 2, and 5.7 (IQR: 4.4-6.7) years in cohort 3. Clinical follow-up information was obtained in 97.9% of patients (cohort 1: 98.8%, cohort 2: 98.4%, and cohort 3: 96.9%) at 1 year, 95.2% (cohort 1: 94.7%, cohort 2: 96.3%, and cohort 3: 94.2%) at 3 years, and 79.1% (cohort 1: 88.1%, cohort 2: 70.0%, and cohort 3: 82.7%) at 5 years after the index procedure. Diabetes as compared with nondiabetes was associated with significantly higher crude and adjusted risk for all the outcome measures. The magnitude of excess adjusted mortality risk of diabetes relative to nondiabetes was modest, which was mainly driven by the excess risk for cardiovascular death. Nevertheless, diabetes, compared with nondiabetes, also had significant excess risk for noncardiovascular death. The magnitude of excess adjusted risk of diabetes relative to nondiabetes was moderate for heart failure hospitalization, while it was modest for MI, stroke, TVR, and any coronary revascularization (Figure 2).

Figure 2.

Figure 2

Kaplan-Meier Curves for the Clinical Outcome Measures: Diabetes Versus Nondiabetes

Kaplan-Meier curves for (A) major adverse cardiovascular and cerebral endpoints, (B) all-cause death, (C) cardiovascular death, (D) noncardiovascular death, (E) myocardial infarction, (F) stroke, (G) target vessel revascularization, (H) any coronary revascularization, and (I) heart failure hospitalization. The Kaplan-Meier curves were truncated at 5 years.

Subgroup analyses stratified by the modifiers for the risk of diabetes

With regard to primary outcome measure of MACCE, there was a significant interaction between adjusted risk of diabetes relative to nondiabetes and age tertiles, while no significant interaction was observed between diabetes status and other subgroups such as sex, mode of revascularization, and clinical presentation of AMI. The magnitude of the excess risk of diabetes relative to nondiabetes increased in younger patients for MACCE (Figure 3, Supplemental Figure 1).

Figure 3.

Figure 3

Figure 3

Figure 3

Figure 3

Forest Plots for the Adjusted HRs of Diabetes

Forest plots for (A) age tertiles, (B) sex, (C) mode of revascularization, and (D) clinical presentation. Cumulative incidence was represented by the values at 5 years. Number of patients with event and the HRs were estimated through the entire follow-up period. To calculate HRs and interactions, we incorporated the risk-adjusting variables listed in Table 1. Abbreviations as in Figure 1.

As for respective outcome measures, there was a significant interaction between age tertiles and the adjusted risk of diabetes relative to nondiabetes for all-cause death, cardiovascular death, and heart failure hospitalization. In terms of TVR and any coronary revascularization, there was a significant diabetes-by-subgroup interaction in the sex and mode of revascularization subgroups (Figure 3, Supplemental Figures 2 and 3). The magnitude of the excess risk of diabetes relative to nondiabetes for these outcome measures was greater in women and in those who underwent PCI. Regarding clinical presentation, there was no significant diabetes-by-subgroup interaction in the AMI/non-AMI subgroups for MACCE and respective outcome measures. There was a consistent trend toward higher risk of diabetes relative to nondiabetes for all the outcome measures regardless of clinical presentation of AMI except for noncardiovascular death in patients who presented with AMI (Figure 3, Supplemental Figure 4).

In the sensitivity analysis in patients who had a complex coronary artery disease, the results in the subgroup analysis stratified by mode of revascularization were consistent with those in the main results (Supplemental Figure 5). The results of the sensitivity analysis in cohorts 1, 2, and 3, separately, were largely in line with those observed in the entire study population (Supplemental Figures 6 to 8).

Discussion

Diabetes compared with nondiabetes was independently associated with worse cardiovascular outcomes up to 5 years after coronary revascularization in our large-scale pooled registry including 15,561 patients with diabetes and 23,866 patients without diabetes. We found a few modifiers of the excess risk of diabetes relative to nondiabetes for clinical outcome measures. In terms of primary endpoint of MACCE, there was a significant interaction between diabetes status and age tertiles, while no significant interaction was observed between diabetes status and sex, mode of revascularization, or clinical presentation of AMI (Central Illustration). The excess adjusted risk of diabetes relative to nondiabetes for all-cause death varied widely from a 41% increase in younger patients to a 15% increase in older patients. Our findings of the greater excess mortality risk in younger patients with diabetes were largely consistent with those observed in the general population.2, 3, 4,14,15 However, the absolute mortality risk in the younger patients with diabetes were extremely low in the general population, whereas in the present study, the observed absolute difference in all-cause death between diabetes and nondiabetes in the younger tertile was substantial (9.9% vs 5.5% at 5 years after coronary revascularization). The observed interaction between age tertiles and the effect of diabetes status on all-cause death was driven mainly by the higher excess risk of cardiovascular death in younger patients with diabetes. Moreover, we might assume the higher excess mortality risk of diabetes relative to nondiabetes among younger patients might be related to the higher excess risk for heart failure hospitalization. More aggressive interventions for secondary prevention in patients with diabetes might be particularly relevant in a patient population with greater excess mortality risk of diabetes relative to nondiabetes. Our results might suggest that more aggressive interventions for secondary prevention including liberal use of sodium-glucose cotransporter-2 inhibitors with a specific effect for heart failure16, 17, 18 might reduce the mortality risk in younger patients who underwent coronary revascularization. Alternatively, therapeutic interventions for secondary prevention in patients with diabetes might be attenuated in older patients with smaller excess mortality risk of diabetes relative to nondiabetes.

Central Illustration.

Central Illustration

Study Flowchart and Forest Plots for the Adjusted HRs of Diabetes

From the pooled CREDO-Kyoto PCI/CABG (Coronary Revascularization Demonstrating Outcome Study in Kyoto Percutaneous Coronary Intervention/Coronary Artery Bypass Graft) registry, we found the excess risk of diabetes relative to nondiabetes for major adverse cardiovascular and cerebral endpoints MACCE was profound in the younger population, whereas no significant interaction was observed between adjusted risk of diabetes relative to nondiabetes for MACCE and other subgroups such as sex, mode of revascularization, and clinical presentation of acute myocardial infarction.

The higher risk of diabetes relative to nondiabetes in women has been underscored in the patient-level pooled analysis including 10,448 women who underwent PCI with drug-eluting stents in 26 randomized controlled trials (RCTs), in which 3-year adjusted risks for all-cause death, MI, target lesion revascularization, and definite or probable stent thrombosis in women with diabetes were significantly higher compared with in women without diabetes.19 Despite the lower absolute risks of cardiovascular events in women, the excess risks of diabetes relative to nondiabetes for cardiovascular events were greater in women than in men in the general population.20 In line with these studies, women, compared with men, were associated with greater excess risks of diabetes relative to nondiabetes for TVR and any coronary revascularization in our study. In contrast, in the prespecified subgroup analysis of patient-level pooled analysis including 32,877 patients undergoing PCI in 23 RCTs, no significant interaction between sex and clinical outcomes based on diabetes status was observed for 5-year risk of ischemia-driven target lesion revascularization (men vs women; diabetes: 12.6% vs 13.5%; nondiabetes: 9.5% vs 9.7%; Pinteraction = 0.70).21 This discrepancy could at least in part be explained by the difference in the lesion complexity between our all-comers registry and RCTs (eg, mean number of treated lesions: 1.7 vs 1.3 lesions); however, further studies are needed to clarify the sex difference in the effect of diabetes on clinical outcomes after coronary revascularization.

Dedicated RCTs have shown that CABG is more beneficial than PCI in patients with diabetes.22,23 However, no clear interactions between diabetes status and effects of mode of revascularization on long-term clinical outcomes were reported in the recent RCTs.24, 25, 26, 27 According to the collaborative analysis of 11 RCTs, the rate of 5-year mortality among patients with diabetes was significantly higher in the PCI arm than in the CABG arm (HR: 1.44; 95% CI: 1.20-1.74; P < 0.001), whereas no significant difference was observed between PCI and CABG among patients without diabetes (HR: 1.02; 95% CI: 0.86-1.21; P = 0.81, Pinteraction = 0.008).28 The intention of the collaborative analysis was not to explore difference in the magnitude of excess risk of diabetes relative to nondiabetes by mode of revascularization; nevertheless, we could infer that the magnitude of excess mortality risk of diabetes relative to nondiabetes was greater among patients who underwent PCI than in those who underwent CABG. However, in the present study, there was no significant interaction between mode of revascularization (PCI/CABG) and mortality risk of diabetes relative to nondiabetes. This discrepancy might be explained, at least in part, by the older population in our registry (mean patient’s age: 68.4 years) compared with the collaborative analysis of RCTs (mean patient’s age: 63.6 years), because survival benefit with CABG over PCI in patients with diabetes was profound in younger patients.29 Meanwhile, there was significant interaction between mode of revascularization and risks of diabetes relative to nondiabetes for coronary events such as MI, TVR, and any coronary revascularization. In patients who underwent CABG, there was virtually no excess risk of diabetes relative to nondiabetes for coronary events. Our results not only support the benefit of CABG in relation to PCI in patients with diabetes, but also highlight the need for more aggressive secondary prevention measures to reduce the risk of cardiovascular events in patients with diabetes who underwent PCI.

In the stratified analysis for clinical presentation, there was no previous study comparing the risks of diabetes relative to nondiabetes for cardiovascular events between patients with AMI and non-AMI.30,31 In the present study, there were no significant interactions between clinical presentation and the risks of diabetes relative to nondiabetes for cardiovascular events. More aggressive interventions for patients with diabetes might be relevant not only in patients with AMI, but also in patients with non-AMI.

Study limitations

First, selection of potential modifiers of the risk of diabetes for adverse events was arbitrary. We could not deny the presence of other important risk modifiers. Second, there might be residual confounders affecting the risk of diabetes relative to nondiabetes for adverse events, although we conducted extensive multivariable adjustment. Third, diabetes therapy might have been changed during the inclusion period, which began with the use of bare-metal stents and ended with the use of new-generation drug-eluting stents. Moreover, recently developed glucose-lowering drugs, such as glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors, might further reduce the risk of cardiovascular events in patients with diabetes. Fourth, while we sought to assess the impact of baseline diabetes status on clinical outcomes, we did not take into account changes in diabetes status during the follow-up period. Fifth, because of the long inclusion period, MI was adjudicated according to the classical definition of Q-wave MI, not the current universal definition of MI. Sixth, whereas 69.5% of patients with diabetes had multivessel disease, more than four-fifths of patients underwent PCI. Moreover, the proportion of PCI significantly increased from 2000 to 2013 in Japan, particularly in patients with multivessel disease.32 The observed interaction between diabetes status and mode of revascularization might not be applicable in patients outside Japan. Finally, follow-up rates were far from complete to enable us to evaluate the effect of diabetes on long-term outcomes for up to 5 years; however, median follow-up duration for survivors were comparable between patients with diabetes (5.9; IQR: 4.9-7.0) and those without diabetes (5.9; IQR: 4.9-7.1).

Conclusions

The excess risk of diabetes relative to nondiabetes for MACCE was profound in the younger population. Our observation suggests more aggressive interventions for secondary prevention in patients with diabetes might be particularly relevant in younger patients.

Perspectives.

COMPETENCY IN MEDICAL KNOWLEDGE: The excess adjusted risks of diabetes relative to nondiabetes for MACCE increased with younger age, mainly driven by greater excess adjusted mortality risk of diabetes relative to nondiabetes in younger tertile. No significant interaction was observed between adjusted risk of diabetes relative to nondiabetes for MACCE and other subgroups such as sex, mode of revascularization, and clinical presentation of acute myocardial infarction.

TRANSLATIONAL OUTLOOK: More aggressive interventions for secondary prevention in patients with diabetes might be particularly relevant in younger patients.

Funding Support and Author Disclosures

This study was supported by an educational grant from the Research Institute for Production Development (Kyoto, Japan). Dr Yamaji has received a research grant from Abbott Vascular. Dr Shiomi has received honoraria from Abbott Vascular and Boston Scientific. Dr Morimoto has received lecturer's fees from Bristol-Myers Squibb, Daiichi Sankyo, Japan Lifeline, Kowa, Kyocera, Novartis, and Toray; manuscript fees from Bristol-Myers Squibb and Kowa; and has served on the Advisory Board of Sanofi. Dr Ehara has received honoraria from Abbott Vascular, Bayer, Boston Scientific, Medtronic, and Terumo. Dr Furukawa has received honoraria from Bayer, Kowa, and Sanofi. Dr Nakagawa has received research grants from Abbott Vascular and Boston Scientific; and honoraria from Abbott Vascular, Bayer, and Boston Scientific. Dr Kimura has received a research grant from Abbott Vascular; and honoraria from Astellas, AstraZeneca, Bayer, Boston Scientific, Kowa, and Sanofi. All the other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Acknowledgments

The authors thank the clinical research coordinators in the Research Institute for Production Development.

Footnotes

The authors attest they are in compliance with human studies committees and animal welfare regulations of the authors’ institutions and Food and Drug Administration guidelines, including patient consent where appropriate. For more information, visit the Author Center.

Appendix

For supplemental figures and tables and lists of participants, please see the online version of this paper.

Contributor Information

Takeshi Kimura, Email: taketaka@kuhp.kyoto-u.ac.jp.

CREDO-Kyoto PCI/CABG Registry Investigators:

Takeshi Kimura, Hiroki Shiomi, Mitsuo Matsuda, Yuzo Takeuchi, Hirokazu Mitsuoka, Takashi Uegaito, Yoshihisa Nakagawa, Toshihiro Tamura, Takashi Konishi, Seiji Ootani, Hisayoshi Fujiwara, Yoshiki Takatsu, Yukihito Sato, Ryoji Taniguchi, Kazuaki Kataoka, Moriaki Inoko, Ryuji Nohara, Kimisato Nakano, Syoichi Miyamoto, Nagai Kunihiko, Tomoyuki Murakami, Teruki Takeda, Katsuya Ishida, Masakiyo Nobuyoshi, Kyohei Yamaji, Hitoshi Yasumoto, Masashi Iwabuchi, Kenji Ando, Takenori Domei, Masayuki Kato, Ryozo Tatami, Manabu Shirotani, Ryuichi Hattori, Toru Kita, Yutaka Furukawa, Natsuhiko Ehara, Yasuki Kihara, Hiroshi Eizawa, Hiroshi Kato, Katsuhisa Ishii, Takeshi Aoyama, Takahiro Sakurai, Masaki Kawanami, Tamaki Suyama, Eiji Tada, Masaru Tanaka, Tsukasa Inada, Hiroyasu Uzui, Akira Nakano, Jong-Dae Lee, Tomoya Onodera, Akinori Takizawa, Nawada Ryuzo, Eiji Shinoda, Masaaki Takahashi, Miho Yamada, Minoru Horie, Takashi Yamamoto, Hiroyuki Takashima, Hiroshi Sakai, Takashi Tamura, Mamoru Toyofuku, Hajime Kotoura, Akira Miura, Mamoru Takahashi, Yoshiki Matoba, Takuro Takumi, Chuwa Tei, Shuichi Hamasaki, Osamu Doi, Hirofumi Kambara, Satoshi Kaburagi, Hiroki Sakamoto, Tomohisa Tada, Kazuaki Mitsudo, Kazushige Kadota, Takeshi Tada, Shinji Miki, Tetsu Mizoguchi, Yoshida Akira, Kazuhisa Kaneda, Hisao Ogawa, Koichi Sugamura, Seigo Sugiyama, Takeshi Aoyama, Kiyoshi Doyama, Makoto Araki, Ryuichi Hattori, Satoru Suwa, Ryuzo Sakata, Tadashi Ikeda, Akira Marui, Kenji Minatoya, Kazuhiro Yamazaki, Masahiko Onoe, Tatsuya Ogawa, Kazuo Yamanaka, Atsushi Iwakura, Nobuhisa Ohno, Keiichi Fujiwara, Michiya Hanyu, Michiya Hanyu, Kinji Soga, Akira Marui, Tsutomu Matsushita, Noboru Nishiwaki, Yuichi Yoshida, Nobushige Tamura, Yukikatsu Okada, Michihiro Nasu, Tadaaki Koyama, Shogo Nakayama, Kuniyoshi Tanaka, Takaaki Koshiji, Koichi Morioka, Mitsuomi Shimamoto, Fumio Yamazaki, Yasuhiko Terai, Junichiro Nishizawa, Masaki Aota, Naoki Kanemitsu, Hiroyuki Hara, Takafumi Tabata, Yutaka Imoto, Hiroyuki Yamamoto, Katsuhiko Matsuda, Masafumi Nara, Hiroshi Tsuneyoshi, Tatsuhiko Komiya, Hiroyuki Nakajima, Jiro Esaki, Michio Kawasuji, Syuji Moriyama, Keiichi Tambara, Sakiko Arimura, Yumika Fujino, Miya Hanazawa, Chikako Hibi, Risa Kato, Yui Kinoshita, Kumiko Kitagawa, Masayo Kitamura, Takahiro Kuwahara, Maeda Sachiko, Izumi Miki, Saeko Minematsu, Satoko Nishida, Naoko Okamoto, Asuka Saeki, Hitomi Sasae, Yuki Sato, Asuka Takahashi, Emi Takinami, Saori Tezuka, Marina Tsuda, Miyuki Tsumori, Yuriko Uchida, Yuko Yamamoto, Misato Yamauchi, Itsuki Yamazaki, Mai Yoshimoto, Mitsuru Abe, Masayuki Fuki, Mamoru Hayano, Eri Kato, Yoshihiro Kato, Yukiko Matsumura-Nakano, Tetsu Nakajima, Kenji Nakatsuma, Masahiro Natsuaki, Hiroki Shiomi, Tomohisa Tada, Yasuaki Takeji, Junichi Tazaki, Akihiro Tokushige, Hiroki Watanabe, Hidenori Yaku, Kyohei Yamaji, Erika Yamamoto, Ko Yamamoto, Yugo Yamashita, and Yusuke Yoshikawa

Appendix

Supplemental Data
mmc1.docx (3MB, docx)

References

  • 1.Stratton I.M., Adler A.I., Neil H.A., et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321(7258):405–412. doi: 10.1136/bmj.321.7258.405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.The Emerging Risk Factors Collaboration. Sarwar N., Gao P., et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet. 2010;375(9733):2215–2222. doi: 10.1016/S0140-6736(10)60484-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Tancredi M., Rosengren A., Svensson A.M., et al. Excess mortality among persons with type 2 diabetes. N Engl J Med. 2015;373(18):1720–1732. doi: 10.1056/NEJMoa1504347. [DOI] [PubMed] [Google Scholar]
  • 4.Rawshani A., Rawshani A., Franzen S., et al. Risk factors, mortality, and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2018;379(7):633–644. doi: 10.1056/NEJMoa1800256. [DOI] [PubMed] [Google Scholar]
  • 5.Wright A.K., Suarez-Ortegon M.F., Read S.H., et al. Risk factor control and cardiovascular event risk in people with type 2 diabetes in primary and secondary prevention settings. Circulation. 2020;142(20):1925–1936. doi: 10.1161/CIRCULATIONAHA.120.046783. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Cavender M.A., Steg P.G., Smith S.C., Jr., et al. Impact of diabetes mellitus on hospitalization for heart failure, cardiovascular events, and death: outcomes at 4 years from the Reduction of Atherothrombosis for Continued Health (REACH) registry. Circulation. 2015;132(10):923–931. doi: 10.1161/CIRCULATIONAHA.114.014796. [DOI] [PubMed] [Google Scholar]
  • 7.Ritsinger V., Saleh N., Lagerqvist B., Norhammar A. High event rate after a first percutaneous coronary intervention in patients with diabetes mellitus: results from the Swedish coronary angiography and angioplasty registry. Circ Cardiovasc Interv. 2015;8(6) doi: 10.1161/CIRCINTERVENTIONS.114.002328. [DOI] [PubMed] [Google Scholar]
  • 8.Takeji Y., Shiomi H., Morimoto T., et al. CREDO-Kyoto PCI/CABG Registry Cohort Investigators Diabetes mellitus and long-term risk for heart failure after coronary revascularization. Circ J. 2020;84(3):471–478. doi: 10.1253/circj.CJ-19-0980. [DOI] [PubMed] [Google Scholar]
  • 9.Ehara N., Morimoto T., Furukawa Y., et al. Effect of baseline glycemic level on long-term cardiovascular outcomes after coronary revascularization therapy in patients with type 2 diabetes mellitus treated with hypoglycemic agents. Am J Cardiol. 2010;105(7):960–966. doi: 10.1016/j.amjcard.2009.11.024. [DOI] [PubMed] [Google Scholar]
  • 10.Kimura T., Morimoto T., Furukawa Y., et al. Long-term outcomes of coronary-artery bypass graft surgery versus percutaneous coronary intervention for multivessel coronary artery disease in the bare-metal stent era. Circulation. 2008;118(suppl 14):S199–S209. doi: 10.1161/CIRCULATIONAHA.107.735902. [DOI] [PubMed] [Google Scholar]
  • 11.Kimura T., Morimoto T., Furukawa Y., et al. Long-term safety and efficacy of sirolimus-eluting stents versus bare-metal stents in real world clinical practice in Japan. Cardiovasc Interv Ther. 2011;26(3):234–245. doi: 10.1007/s12928-011-0065-0. [DOI] [PubMed] [Google Scholar]
  • 12.Imai E., Horio M., Nitta K., et al. Modification of the Modification of Diet in Renal Disease (MDRD) study equation for Japan. Am J Kidney Dis. 2007;50(6):927–937. doi: 10.1053/j.ajkd.2007.09.004. [DOI] [PubMed] [Google Scholar]
  • 13.Serruys P.W., Unger F., Sousa J.E., et al. Arterial Revascularization Therapies Study Group Comparison of coronary-artery bypass surgery and stenting for the treatment of multivessel disease. N Engl J Med. 2001;344(15):1117–1124. doi: 10.1056/NEJM200104123441502. [DOI] [PubMed] [Google Scholar]
  • 14.Booth G.L., Kapral M.K., Fung K., Tu J.V. Relation between age and cardiovascular disease in men and women with diabetes compared with non-diabetic people: a population-based retrospective cohort study. Lancet. 2006;368(9529):29–36. doi: 10.1016/S0140-6736(06)68967-8. [DOI] [PubMed] [Google Scholar]
  • 15.Sattar N., Rawshani A., Franzen S., et al. Age at diagnosis of type 2 diabetes mellitus and associations with cardiovascular and mortality risks. Circulation. 2019;139(19):2228–2237. doi: 10.1161/CIRCULATIONAHA.118.037885. [DOI] [PubMed] [Google Scholar]
  • 16.Zinman B., Wanner C., Lachin J.M., et al. EMPA-REG OUTCOME Investigators Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373(22):2117–2128. doi: 10.1056/NEJMoa1504720. [DOI] [PubMed] [Google Scholar]
  • 17.Neal B., Perkovic V., Mahaffey K.W., et al. CANVAS Program Collaborative Group Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017;377(7):644–657. doi: 10.1056/NEJMoa1611925. [DOI] [PubMed] [Google Scholar]
  • 18.Wiviott S.D., Raz I., Bonaca M.P., et al. DECLARE–TIMI 58 Investigators Dapagliflozin and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2019;380(4):347–357. doi: 10.1056/NEJMoa1812389. [DOI] [PubMed] [Google Scholar]
  • 19.Baber U., Stefanini G.G., Giustino G., et al. Impact of diabetes mellitus in women undergoing percutaneous coronary intervention with drug-eluting stents. Circ Cardiovasc Interv. 2019;12(7) doi: 10.1161/CIRCINTERVENTIONS.118.007734. [DOI] [PubMed] [Google Scholar]
  • 20.Malmborg M., Schmiegelow M.D.S., Norgaard C.H., et al. Does type 2 diabetes confer higher relative rates of cardiovascular events in women compared with men? Eur Heart J. 2020;41(13):1346–1353. doi: 10.1093/eurheartj/ehz913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Kosmidou I., Leon M.B., Zhang Y., et al. Long-term outcomes in women and men following percutaneous coronary intervention. J Am Coll Cardiol. 2020;75(14):1631–1640. doi: 10.1016/j.jacc.2020.01.056. [DOI] [PubMed] [Google Scholar]
  • 22.Bypass Angioplasty Revascularization Investigation (BARI) Investigators Comparison of coronary bypass surgery with angioplasty in patients with multivessel disease. N Engl J Med. 1996;335(4):217–225. doi: 10.1056/NEJM199607253350401. [DOI] [PubMed] [Google Scholar]
  • 23.Farkouh M.E., Domanski M., Sleeper L.A., et al. FREEDOM Trial Investigators Strategies for multivessel revascularization in patients with diabetes. N Engl J Med. 2012;367(25):2375–2384. doi: 10.1056/NEJMoa1211585. [DOI] [PubMed] [Google Scholar]
  • 24.Mohr F.W., Morice M.C., Kappetein A.P., et al. Coronary artery bypass graft surgery versus percutaneous coronary intervention in patients with three-vessel disease and left main coronary disease: 5-year follow-up of the randomised, clinical SYNTAX trial. Lancet. 2013;381(9867):629–638. doi: 10.1016/S0140-6736(13)60141-5. [DOI] [PubMed] [Google Scholar]
  • 25.Thuijs D., Kappetein A.P., Serruys P.W., et al. SYNTAX Extended Survival Investigators Percutaneous coronary intervention versus coronary artery bypass grafting in patients with three-vessel or left main coronary artery disease: 10-year follow-up of the multicentre randomised controlled SYNTAX trial. Lancet. 2019;394(10206):1325–1334. doi: 10.1016/S0140-6736(19)31997-X. [DOI] [PubMed] [Google Scholar]
  • 26.Milojevic M., Serruys P.W., Sabik J.F., 3rd, et al. Bypass surgery or stenting for left main coronary artery disease in patients with diabetes. J Am Coll Cardiol. 2019;73(13):1616–1628. doi: 10.1016/j.jacc.2019.01.037. [DOI] [PubMed] [Google Scholar]
  • 27.Wang R., Serruys P.W., Gao C., et al. Ten-year all-cause death after percutaneous or surgical revascularization in diabetic patients with complex coronary artery disease. Eur Heart J. 2021;43(1):56–67. doi: 10.1093/eurheartj/ehab441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Head S.J., Milojevic M., Daemen J., et al. Mortality after coronary artery bypass grafting versus percutaneous coronary intervention with stenting for coronary artery disease: a pooled analysis of individual patient data. Lancet. 2018;391(10124):939–948. doi: 10.1016/S0140-6736(18)30423-9. [DOI] [PubMed] [Google Scholar]
  • 29.Farkouh M.E., Domanski M., Dangas G.D., et al. FREEDOM Follow-on Study Investigators Long-term survival following multivessel revascularization in patients with diabetes: the FREEDOM Follow-on study. J Am Coll Cardiol. 2019;73(6):629–638. doi: 10.1016/j.jacc.2018.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Malmberg K., Yusuf S., Gerstein H.C., et al. Impact of diabetes on long-term prognosis in patients with unstable angina and non-Q-wave myocardial infarction: results of the OASIS (Organization to Assess Strategies for Ischemic Syndromes) registry. Circulation. 2000;102(9):1014–1019. doi: 10.1161/01.cir.102.9.1014. [DOI] [PubMed] [Google Scholar]
  • 31.Guan S., Xu X., Li Y., et al. Impact of diabetes mellitus on antithrombotic management patterns and long-term clinical outcomes in patients with acute coronary syndrome: insights from the EPICOR Asia study. J Am Heart Assoc. 2020;9(22) doi: 10.1161/JAHA.119.013476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Shiomi H., Morimoto T., Furukawa Y., et al. Coronary revascularization in the past two decades in Japan (from the CREDO-Kyoto PCI/CABG Registries Cohort-1, -2, and -3) Am J Cardiol. 2021;153:20–29. doi: 10.1016/j.amjcard.2021.05.015. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Data
mmc1.docx (3MB, docx)

Articles from JACC Asia are provided here courtesy of Elsevier

RESOURCES