Literature DB >> 31191034

Extent of coronary artery disease is associated with myocardial infarction and mortality in patients with diabetes mellitus.

Christine Gyldenkerne1, Kevin Kris Warnakula Olesen1,2, Morten Madsen2, Troels Thim1, Lisette Okkels Jensen3, Bent Raungaard4, Henrik Toft Sørensen2, Hans Erik Bøtker1, Michael Maeng1.   

Abstract

Purpose: We examined risk of myocardial infarction and all-cause death associated with the extent of coronary artery disease ascertained by coronary angiography in patients with diabetes mellitus. We hypothesized that risks of myocardial infarction and death were associated with extent of coronary artery disease in diabetes patients. Patients and methods: We conducted a cohort study of patients with type 1 and type 2 diabetes, who underwent coronary angiography from 2004 to 2012. Patients were stratified according to extent of coronary artery disease: 0-, 1-, 2- or 3-vessel disease or diffuse vessel disease. Endpoints were myocardial infarction, all-cause death, and major adverse cardiovascular events (MACE), defined as the composite of myocardial infarction, cardiac death, or ischemic stroke. Adjusted incidence and mortality rate ratios (IRRsadj) were calculated using patients with 0-vessel disease as the reference group. Median follow-up was 3 years for a total of 45,164 person-years.
Results: The study included 12,594 diabetes patients. Of these, 3,147 (25.0%) had 0-vessel disease, 1,195 (9.5%) had diffuse vessel disease, 3,001 (23.8%) had 1-vessel disease, 2,220 (17.6%) had 2-vessel disease, and 3,031 (24.1%) had 3-vessel disease. The myocardial infarction rate was 0.4 per 100 person-years (95% CI: 0.3-0.5) in patients with 0-vessel disease. Using patients with 0-vessel disease as reference, the risk of myocardial infarction increased according to the number of diseased vessels (diffuse vessel disease: 1.4 per 100 person-years, IRRadj 3.87, 95% CI: 2.41-6.23; 1-vessel disease: 1.9 per 100 person-years, IRRadj 4.99, 95% CI: 3.33-7.46; 2-vessel disease: 2.7 per 100 person-years, IRRadj 7.14, 95% CI: 4.78-10.65; and 3-vessel disease: 4.3 per 100 person-years, IRRadj 11.42, 95% CI: 7.76-16.82; ptrend<0.001). Similar associations were observed for all-cause death and MACE.
Conclusion: The extent of coronary artery disease is a major risk factor for myocardial infarction and death in patients with diabetes mellitus.

Entities:  

Keywords:  Western Denmark Heart Registry; coronary angiography; death; epidemiology

Year:  2019        PMID: 31191034      PMCID: PMC6536131          DOI: 10.2147/CLEP.S200173

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

Only a few studies with either short-term follow-up after coronary angiography (CAG) or long-term follow-up after coronary computed tomography have examined the association between extent of coronary artery disease (CAD) and clinical outcomes in patients with diabetes mellitus.1–3 We hypothesized that the risk of myocardial infarction (MI) and death is associated with the extent of CAD in diabetes patients. If so, a differentiated characterization of the extent of CAD may have a perspective for more individualized preventive treatment strategies for diabetes patients than currently used. Assessment of CAD by CAG has been described as a valid prognostic tool in risk stratification of diabetes patients.4 In the current study, we conducted a median follow-up of 3 years in diabetes patients undergoing CAG to evaluate whether increasing extent of obstructive CAD is associated with incremental MI and death rates.

Material and methods

Data sources

Each Danish resident is assigned a unique and permanent 10-digit personal identifier at birth or upon immigration. This identifier is included in every Danish health registry and enables accurate long-term follow-up data with minimal risk of loss to follow-up. The Western Denmark Heart Registry (WDHR) is a clinical database containing information on all patients referred for diagnostic, invasive, and surgical procedures since 1999 in Western Denmark (population: 3.3 million people).5,6 The WDHR has collected data on >240,000 CAGs, including a detailed description of the presence and extent of CAD. In addition to the WDHR, we used the following databases in the current study: the Civil Registration System, which collects data on all Danish residents’ vital status (dead, alive, or emigrated); the Danish National Patient Registry, which includes all inpatient and outpatient hospital diagnoses in Denmark; and the Danish National Health Service Prescription Database, which registers data on all reimbursed prescriptions redeemed at Danish pharmacies.7–9 According to Danish law, observational registry-based studies require no approval from local or national ethics committees.

Diabetes

Diabetes patients, with type 1 or type 2 diabetes patients, were identified through the WDHR and the Danish National Health Service Prescription Database.5,6,9 In the WDHR, diabetes patients are classified according to their diabetes treatment (insulin ± oral glucose-lowering treatment, oral glucose-lowering treatment, or nonpharmacological dietary treatment) at the time of CAG intervention. To confirm this information and to include newly diagnosed diabetes patients, we also used the Danish National Health Service Prescription Database to identify patients who had redeemed of ≥1 prescription for anti-diabetes treatment (insulin or non-insulin diabetes medication) within 6 months before and 1 month after CAG. Relevant Anatomical Therapeutic Chemical codes are provided in the supplementary material, Table S1.
Table S1

Anatomical therapeutic chemical codes used in the Danish National Health Service prescription database

MedicationAnatomical therapeutic chemical (ATC) code
InsulinA10A
Non-insulin diabetes medicationA10B
StatinsC10AA
AspirinB01AC22, N02BA01
Adenosine diphosphate receptor inhibitorsB01AC04, B01AC22, B01AC24
Angiotensin-converting enzyme inhibitorsC09A, C09B
Angiotensin II receptor blockersC09C, C09D
Beta-blockersC07
Calcium channel blockersC08C, C08D

Coronary artery disease

Patients were stratified according to extent of CAD, ie the number of coronary arteries with obstructive CAD (defined as ≥50% angiographic stenosis): 0-, 1-, 2- or 3-vessel disease (VD), or diffuse VD (ie nonobstructive CAD, defined as <50% stenosis in >1 coronary vessel).

Patient selection

All diabetes patients with a CAG procedure registered in the WDHR from July 1, 2004 to July 30, 2012 were included in the study (Figure 1). Patients without diabetes were excluded (N=82,980). For patients who underwent multiple CAG examinations during the study period the first CAG was regarded as the index procedure. Patients classified as having no CAD despite previous MI, percutaneous coronary intervention, and/or coronary artery bypass grafting were excluded due to risk of misclassification (N=396). Patients who died or emigrated <30 days after CAG (N=416) also were excluded. All patients were ≥18 years old.
Figure 1

Flowchart of selection of diabetes patients who underwent coronary angiography in Western Denmark between July 1, 2004 and July 30, 2012.

Abbreviations: CAG, coronary angiography; CAD, coronary artery disease; MI, myocardial infarction; PCI, percutaneous coronary intervention; CABG, coronary artery bypass graft; VD, vessel disease.

Flowchart of selection of diabetes patients who underwent coronary angiography in Western Denmark between July 1, 2004 and July 30, 2012. Abbreviations: CAG, coronary angiography; CAD, coronary artery disease; MI, myocardial infarction; PCI, percutaneous coronary intervention; CABG, coronary artery bypass graft; VD, vessel disease.

Comorbidity

Comorbidities were evaluated using the Charlson Comorbidity Index score based on ICD-10 codes (supplementary material, Table S2) registered in the Danish National Patient Registry. We used a 5-year look-back period of patient history before the study inclusion date.10 A modified Charlson Comorbidity Index score (excluding “diabetes” and “diabetes with end-organ damage”) was estimated for each patient on the date of the index CAG.
Table S2

ICD-10 codes used in the Charlson Comorbidity Index (CCI) score based on data in the Danish National Patient Registry, including weights of each item included in the CCI

DiseaseWeightICD-10 codes
Myocardial infarctiona1I21, I22, I23
Congestive heart failure1I50, I11.0, I13.0, I13.2
Peripheral vascular disease1I70-I74, I77
Cerebrovascular disease1I60-I69, G45, G46
Dementia1F00-F03, F05.1, G30
Chronic pulmonary disease1J40-J47, J60-J67, J68.4, J70.1, J70.3, J84.1, J92.0, J96.1, J98.2, J98.3
Connective tissue disease1M05, M06, M08, M09, M30-M36, D86
Ulcer disease1K22.1, K25-K28
Mild liver disease1B18, K70.0-K70.3, K70.9, K71, K73, K74, K76.0
Diabetes I and II1E10.0, E10.1, E10.9, E11.0, E11.1, E11.9
Hemiplegia2G81, G82
Moderate to severe kidney disease2I12, I13, N00-N05, N07, N11, N14, N17-N19, Q61
Diabetes with end-organ damage2E10.2-E10.8, E11.2-E11.8
Any tumor2C00-C75
Leukemia2C91-C95
Lymphoma2C81-C85, C88, C90, C96
Moderate to severe liver disease3B15.0, B16.0, B16.2, B19.0, K70.4, K72, K76.6, I85
Metastatic solid tumor6C76-C80
AIDS6B21-B24

Notes: aICD-10 code I21 was used as a primary or secondary discharge diagnosis during an acute hospitalization for myocardial infarction events 30 days or more after coronary angiography.

Medication

Records of treatment with statins, aspirin, adenosine diphosphate (ADP) receptor inhibitors, angiotensin-converting-enzyme (ACE) inhibitors/angiotensin II receptor blockers, β-blockers, and calcium channel blockers were ascertained from the Danish National Health Service Prescription Database (anatomical therapeutic chemical codes are provided in the supplementary material, Table S1).9 Treatment was defined as reimbursement for a redeemed prescription between 6 months before and 1 month after the index CAG date.

Myocardial infarction

MI diagnoses were obtained from the Danish National Patient Registry (Supplementary Material, Table S2). Follow-up began 30 days after CAG, as an MI diagnosis has shown less validity during the first 30 days after CAG (due to interhospital patient transfers and initial double registration of MI).11

All-cause death

Information on all-cause death was obtained from the Civil Registration System. The Civil Registration System is virtually complete, with approximately 0.3% persons lost to follow-up.12

Major adverse cardiovascular events

Major adverse cardiovascular events (MACE) were defined as the composite of MI, ischemic stroke, and cardiac death. Ischemic stroke was ascertained from the Danish National Patient Registry (ICD-10 codes: DI-63-64). Cardiac death was obtained from death certificates (ICD-10 codes: DI-20-25, DI-46, DI-47.2, DI-50, R-96) from the Danish Register of Causes of Death.13

Statistical analyses

Follow-up began 30 days after the index CAG. For MI, follow-up continued until first MI, death, emigration, or end of follow-up (December 31, 2012), whichever occurred first. For death, follow-up continued until death, emigration, or end of follow-up. For MACE, follow-up continued until MI, ischemic stroke, death, emigration, or end of follow-up. Due to lack of access to death certificates in 2012, patient inclusion was restricted to June 30, 2011 and end of follow-up was December 31, 2011 for MACE. We estimated event rates for MI, death, and MACE per 100 person-years and constructed cumulative incidence proportion curves corresponding to the seventy-fifth percentile of follow-up. As the data did not meet criteria for proportional hazards, we subsequently estimated incidence rate ratios (IRRs) and adjusted IRRs (IRRsadj) for the clinical endpoints using modified Poisson regression with the event as the outcome and the natural log of person-years as the offset.14 Patients with 0-VD were used as reference. IRRs were adjusted for age, sex, smoking status, hypertension, modified Charlson Comorbidity Index score, and also for treatment with aspirin, statins, ADP receptor inhibitors, β-blockers, ACE inhibitors, angiotensin II receptor blockers, and calcium channel blockers. Since we were using a modified Poisson regression, adjusting for death as a competing risk was not relevant. We conducted a log-rank test for trend for each endpoint, stratified by CAD extent. We performed complete case analyses in the multivariable regression analyses. In these analyses, we only had missing values for smoking (11%). We also conducted a subgroup analysis for elective patients (N=7,664). Statistical analyses were conducted using Stata/IC software version 13.1 (Statacorp LP, College Station, Texas, USA).

Results

A total of 12,594 diabetes patients underwent CAG during the study period. Among these patients, 3,147 (25.0%) had 0-VD, 1,195 (9.5%) had diffuse VD, 3,001 (23.8%) had 1-VD, 2,220 (17.6%) had 2-VD, and 3,031 (24.1%) had 3-VD (Figure 1). Median follow-up-time was 3.0 years (Q1-Q3: 1.1–5.0 years), for a total of 45,164 person-years. None were lost to follow-up.

Baseline characteristics

Diabetes patients with obstructive CAD (1-3 VD) were more often male, older, active smokers, and with reimbursed prescriptions for aspirin, statins, β-blockers, calcium channel blockers, ACE-inhibitors, and ADP receptor inhibitors than patients without obstructive CAD (Table 1). Furthermore, patients with obstructive CAD were more likely to undergo acute or subacute CAG.
Table 1

Baseline characteristics of diabetes patients at the time of coronary angiography, Denmark, 2004–2012

0-VD(N=3,147)Diffuse VD (N=1,195)1-VD(N=3,001)2-VD(N=2,220)3-VD(N=3,031)Total(N=12,594)
Follow-up, years3.0 (1.1–5.0)2.1 (1.0–4.0)3.0 (1.1–5.1)3.0 (1.1–5.1)3.0 (1.1–4.0)3.0 (1.1–5.0)
Age, years61 (53–69)65 (59–73)65 (59–73)67 (61–75)68 (62–75)65 (59–73)
Male sex, %51.064.168.172.175.166.0
Current smoking, %23.024.130.028.025.126.1
Hypertension, %79.086.080.081.183.181.1
MI <30 days after CAG, %1.13.023.020.118.114.0
Medical treatment
 Aspirin, %65.076.083.185.187.179.1
 Statins, %73.185.088.089.189.084.1
 ADP-inhibitors, %4.07.144.141.131.127.0
 blockers, %56.164.074.178.180.071.0
 ACE-inhibitors, %47.153.054.157.160.054.1
 Calcium channel blockers, %35.142.137.042.046.040.0
 ARBs, %30.034.028.126.128.029.0
Modified Charlson Comorbidity Index score
 0, %59.051.058.154.151.155.1
 1, %24.125.122.024.126.124.1
 2, %10.114.111.112.113.012.0
 ≥3, %5.18.07.17.08.17.0
Procedural indication
 STEMI, %2.11.017.114.111.010.0
 NSTEMI, %7.010.119.024.028.118.1
 Unstable AP, %2.02.01.12.01.01.1
 Stable AP, %50.155.142.144.043.046.0
 Arrhythmia, %2.12.02.01.12.02.0
 Valve disease, %9.17.17.05.13.16.1
 Cardiomyopathy, %9.17.14.14.06.16.1
 Unspecified chest pain, %5.15.11.10.10.12.1
 Other, %9.06.13.13.02.04.1
Procedural priority
 Acute/subacute, %23.024.045.147.148.139.0
 Elective, %76.175.154.052.051.060.1

Notes: Data are presented as median (Q1–Q3), mean (Q1–Q3), or %.

Abbreviations: VD, vessel disease; MI, myocardial infarction; CAG, coronary angiography; ADP, adenosine diphosphate; ACE, angiotensin-converting enzyme; ARB, angiotensin-II receptor blocker; STEMI, ST-elevation myocardial infarction; NSTEMI, non-ST-elevation myocardial infarction; AP, angina pectoris.

Baseline characteristics of diabetes patients at the time of coronary angiography, Denmark, 2004–2012 Notes: Data are presented as median (Q1–Q3), mean (Q1–Q3), or %. Abbreviations: VD, vessel disease; MI, myocardial infarction; CAG, coronary angiography; ADP, adenosine diphosphate; ACE, angiotensin-converting enzyme; ARB, angiotensin-II receptor blocker; STEMI, ST-elevation myocardial infarction; NSTEMI, non-ST-elevation myocardial infarction; AP, angina pectoris.

Clinical endpoints

During the follow-up period, 949 patients had an MI and 2,443 patients died. Numbers of events stratified by extent of CAD are summarized in Table 2. Cumulative 5-year incidence proportion curves for MI, death, and MACE are displayed in Figure 2.
Table 2

Number of events and rates of myocardial infarction, death and major adverse cardiovascular events in patients with diabetes, by extent of coronary artery disease

Events(N)Rate per 100 person-years(95%CI)Unadjusted IRR(95%CI)Adjusted IRRa(95%CI)
Myocardial infarction
 0-VD410.4 (0.3–0.5)11
 Diffuse VD461.4 (1.0–1.8)3.80 (2.50–5.79)3.87 (2.41–6.23)
 1-VD2031.9 (1.7–2.2)5.36 (3.83–7.49)4.99 (3.33–7.46)
 2-VD2132.7 (2.4–3.1)7.56 (5.41–10.57)7.14 (4.78–10.65)
 3-VD4464.3 (4.0–4.8)12.07 (8.76–16.63)11.42 (7.76–16.82)
All-cause death
 0-VD3593.1 (2.8–3.5)11
 Diffuse VD1725.0 (4.3–5.8)1.61 (1.34–1.93)1.35 (1.11–1.66)
 1-VD5074.6 (4.3–5.1)1.48 (1.29–1.70)1.31 (1.12–1.54)
 2-VD5066.1 (5.6–6.7)1.96 (1.71–2.25)1.69 (1.45–1.98)
 3-VD8998.1 (7.6–8.6)2.58 (2.29–2.92)2.01 (1.73–2.33)
MACE
 0-VD1411.7 (1.4–2.0)11
 Diffuse VD793.5 (2.8–4.3)2.06 (1.56–2.71)1.62 (1.20–2.17)
 1-VD3164.0 (3.6–4.4)2.37 (1.94–2.90)1.98 (1.58–2.47)
 2-VD3445.7 (5.2–6.4)3.43 (2.81–4.18)2.87 (2.31–3.58)
 3-VD6978.7 (8.1–9.4)5.21 (4.34–6.25)3.96 (3.21–4.87)

Notes: aAdjusted for age, sex, modified Charlson Comorbidity Index score, hypertension, smoking status, and for treatment with aspirin, statins, adenosine diphosphate receptor inhibitors, β-blockers, ACE-inhibitors, angiotensin-II receptor blockers, and calcium channel blockers, using patients with 0-VD as reference.

Abbreviations: VD, vessel disease; IRR; incidence rate ratio; MACE, major adverse cardiovascular events.

Figure 2

Cumulative incidences of myocardial infarction (A), all-cause death (B), and MACE (C) in diabetes patients with 0-vessel disease, diffuse VD, 1-VD, 2-VD, and 3-VD. The follow-up period represents the seventy-fifth percentile.

Abbreviations: VD, vessel disease; MACE, major adverse cardiovascular events.

Number of events and rates of myocardial infarction, death and major adverse cardiovascular events in patients with diabetes, by extent of coronary artery disease Notes: aAdjusted for age, sex, modified Charlson Comorbidity Index score, hypertension, smoking status, and for treatment with aspirin, statins, adenosine diphosphate receptor inhibitors, β-blockers, ACE-inhibitors, angiotensin-II receptor blockers, and calcium channel blockers, using patients with 0-VD as reference. Abbreviations: VD, vessel disease; IRR; incidence rate ratio; MACE, major adverse cardiovascular events. Cumulative incidences of myocardial infarction (A), all-cause death (B), and MACE (C) in diabetes patients with 0-vessel disease, diffuse VD, 1-VD, 2-VD, and 3-VD. The follow-up period represents the seventy-fifth percentile. Abbreviations: VD, vessel disease; MACE, major adverse cardiovascular events. We observed an incremental increase in the MI event rate per 100 person-years by extent of CAD (Table 2). Patients with 0-VD (0.4 MI per 100 person-years) had the lowest risk and patients with 3-VD (4.3 MI per 100 person-years) had the highest risk. Using patients with 0-VD as reference, the risk of MI increased by number of diseased vessels (Table 2; ptrend<0.001). For all-cause death, event rates also increased according to the number of diseased vessels (Table 2). Patients with 0-VD had the lowest risk (3.1 deaths per 100 person-years) and patients with 3-VD the highest risk (8.1 deaths per 100 person-years). Using patients with 0-VD as reference, the risk of death increased by number of diseased vessels (Table 2; ptrend<0.001). For MACE, we similarly observed increasing event rates by extent of CAD (Table 2). Patients with 0-VD had the lowest risk (1.7 deaths per 100 person-years) and patients with 3-VD the highest risk (8.7 deaths per 100 person-years). Using patients with 0-VD as reference, the risk of MACE increased by number of diseased vessels (Table 2; ptrend<0.001). For both MI, death, and MACE, the curves, and thus the risk, for different extents of CAD continued to diverge, rather than stabilize, over at least a 5-year period (Figure 2). Subgroup analysis of patients undergoing elective CAG, yielded similar results of both MI and death (Table 3).
Table 3

Number of events and rates of myocardial infarction and death in elective patients with diabetes, by extent of coronary artery disease

Events(N)Rate per 100 person-years(95%CI)Unadjusted IRR(95%CI)Adjusted IRRa(95%CI)
Myocardial infarction
 0-VD270.3 (0.2–0.5)11
 Diffuse VD220.9 (0.6–1.3)2.79 (1.59–4.89)2.58 (1.41–4.73)
 1-VD791.4 (1.1–1.7)4.56 (2.95–7.06)4.11 (2.51–6.72)
 2-VD872.1 (1.7–2.5)6.72 (4.37–10.35)6.53 (4.04–10.56)
 3-VD1853.3 (2.9–3.8)10.77 (7.19–16.12)10.04 (6.35–15.88)
All-cause death
 0-VD2502.8 (2.5–3.2)11
 Diffuse VD993.8 (3.1–4.6)1.35 (1.07–1.70)1.20 (0.94–1.55)
 1-VD2484.3 (3.8–4.8)1.51 (1.27–1.80)1.32 (1.08–1.62)
 2-VD2164.9 (4.3–5.6)1.74 (1.45–2.08)1.56 (1.27–1.92)
 3-VD3796.4 (5.8–7.1)2.26 (1.93–2.65)1.87 (1.54–2.27)
MACE
 0-VD971.5 (1.2–1.8)11
 Diffuse VD442.5 (1.8–3.3)1.72 (1.20–2.46)1.44 (1.00–2.08)
 1-VD1443.3 (2.8–3.9)2.29 (1.77–2.97)1.88 (1.41–2.52)
 2-VD1504.5 (3.9–5.4)3.18 (2.46–4.11)2.74 (2.07–3.64)
 3-VD2986.7 (6.0–7.5)4.64 (3.68–5.85)3.69 (2.83–4.80)

Notes: aAdjusted for age, sex, modified Charlson Comorbidity Index score, hypertension, smoking status, and for treatment with aspirin, statins, adenosine diphosphate receptor inhibitors, β-blockers, ACE-inhibitors, angiotensin-II receptor blockers, and calcium channel blockers, using patients with 0-VD as reference.

Abbreviations: VD, vessel disease; IRR, incidence rate ratio; MACE, major adverse cardiovascular events.

Number of events and rates of myocardial infarction and death in elective patients with diabetes, by extent of coronary artery disease Notes: aAdjusted for age, sex, modified Charlson Comorbidity Index score, hypertension, smoking status, and for treatment with aspirin, statins, adenosine diphosphate receptor inhibitors, β-blockers, ACE-inhibitors, angiotensin-II receptor blockers, and calcium channel blockers, using patients with 0-VD as reference. Abbreviations: VD, vessel disease; IRR, incidence rate ratio; MACE, major adverse cardiovascular events.

Discussion

The present study’s primary finding is that the extent of CAD ascertained by CAG in diabetes patients was associated with an increased rate of MI, all-cause death, and MACE in our cohort with a median of 3.0 years and a seventy-fifth percentile of 5.0 years follow-up. The current study expands a previous report based on the same patient cohort.4 The earlier report showed that (i) diabetes patients without CAD have a similar risk of MI as non-diabetes patients without CAD, and (ii) diabetes patients with CAD have a higher risk of MI than non-diabetes patients with CAD. In the current analysis, we extend these results by showing that it is not only the presence but also the extent of CAD that defines the risk of MI and death among diabetes patients. Furthermore, we show that the differences in risk continue to increase, rather than stabilize, over at least a 5-year period. It is important to note that our study included diabetes patients undergoing CAG for a clinical indication. Therefore, our conclusions are not necessarily applicable for asymptomatic patients with diabetes. A cohort study of US veterans undergoing elective coronary angiography for CAD, also found that increasing extent of CAD was associated with a progressively greater risk of MI and all-cause mortality, both in a mixed cohort (N=37,674) and in a diabetes subgroup (N=15,699).1 The study differed from ours in several important aspects. First, US veterans are not representative of a general CAG cohort, being 90% male, 39% obese, and 26% having posttraumatic stress disorder. At the same time, our study population does not represent ethnic subgroups, since the Danish population is primarily Caucasian. Second, follow-up was limited to 1 year in the US veteran cohort, compared to a median of 3 years and a seventy-fifth percentile of 5 years in our study. Third, the US veterans study included only elective patients, while our cohort consisted of consecutive patients, among whom a high proportion had an acute coronary syndrome. Fourth, it should be noted that the two studies used different definitions of vascular disease. In the study of US veterans, nonobstructive VD was defined as ≥1 stenosis ≥20% but <70% and obstructive VD was defined as any stenosis ≥70% or left main stenosis ≥50%.1 Despite these differences, our study—including our subgroup analysis for elective patients only—and the US veterans study had consistent results, with both finding an incremental risk of adverse cardiac events with increasing extent of CAD. The CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter) registry followed 1,823 diabetes patients for 5 years, using coronary computed tomography angiography (CCTA).2 Similar to the current study, mortality increased with the extent of CAD in the CONFIRM diabetes cohort. However, the CONFIRM diabetes analysis did not examine MI as an individual endpoint. Instead, MACE (defined as death, MI, unstable angina, or late coronary revascularization) was examined in a subgroup of diabetes patients (N=973) and showed a similar incremental association between CAD extent and MACE occurrence. The CONFIRM diabetes cohort enrolled elective patients, unlike our study, which enrolled all-comers including a high proportion of patients with acute coronary syndromes. Out study extends previous 1-year CAG data out to 5 years and also represents consecutively enrolled patients, many exhibiting acute coronary syndromes, rather than elective patients. Further, we find comparable results in comparison to an elective CCTA cohort. The fact that these studies, despite being performed in different countries, in elective and all-comer cohorts, and using different imaging modalities, strengthen the conclusions and the external validity. The CAG and CCTA studies described above provide a rationale for performing prospective randomized studies to test individualized primary prophylactic strategies. Only a single randomized clinical trial has examined targeted patient care guided by CCTA vs optimal patient care in asymptomatic diabetes patients.15 The trial did not find screening of CAD beneficial as screening did not reduce the composite rate of all-cause mortality, nonfatal MI, or unstable angina requiring hospitalization at 4 years. However, the trial predominantly included low-risk diabetes patients with normal or nonobstructive CAD, which nearly eliminated the probability of detecting differences in outcomes. Rather than randomizing asymptomatic patients to CCTA or not, we suggest that CCTA should be used for risk stratification before randomization. Based on the current results, it seems likely that asymptomatic patients with diabetes and obstructive 2-VD and 3-VD will benefit from intensive prophylactic medical treatments, eg with novel strategies such as sodium-glucose cotransporter-2 (SGLT-2) inhibitors,16 glucagon-like peptide-1 (GLP-1) analogues,17,18 PCSK9 inhibitors,19 and the monoclonal antibody canakinumab targeting interleukin-1β.20 However, this has to be tested in prospective randomized clinical trials. The ASCEND (A Study of Cardiovascular Events in Diabetes) study21 recently examined whether aspirin should be used as primary prophylactic treatment in diabetes patients. It showed that the benefits of aspirin with prevention of serious vascular events (12% reduced relative risk) were largely counterbalanced by a high occurrence of major bleeding events (29% higher relative risk), when used for primary prevention in diabetes patients. This questions the use of aspirin as primary prophylaxis in patients with asymptomatic CAD.21 In our study, diabetes patients with 0-VD exhibited a low cardiovascular risk and it may be considered to discontinue treatment with aspirin in these patients. As our results confirm, the 0-VD patients have a very low risk of MI, so they will only have the risk of bleeding complications with aspirin treatment. As our study relied on registry data, we cannot exclude the possibility of the impact of unmeasured confounding. Another limitation is that we could not differentiate between type of diabetes. As well, we could not establish the duration of diabetes, which is associated with higher extent of CAD and higher risk of major adverse cardiovascular and cerebrovascular events.22–24 The inclusion period lasted from 2004 to 2012. In this period, acute care of acute coronary syndromes was substantially improved by pre-hospital triage based on in-ambulance ECG leading to bypassing of referral hospitals and direct transfer to tertiary hospitals with invasive facilities, and by the introduction of drug-eluting stents. CAG has some important limitations to address. First, CAG does not describe lesion morphology and plaque vulnerability in the vessel wall. Second, it is an invasive procedure, which limits its use as a screening modality. Third, as classification of CAD is based on visual angiographic assessment by the treating physician during CAG, we cannot exclude a minor degree of interobserver variation. Fourth, we stratified CAD according to the number of coronary arteries with obstructive CAD. This is a simplification of a spectrum of CAD and the results must be interpreted in this context. With the current classification we were nevertheless able to identify diabetes patients at low, intermediate, and high risk. We were unable to further stratify patients according to the number of coronary segments/arteries with nonobstructive CAD since only significant lesions are registered in the WDHR. Moreover, we cannot determine which patients received revascularization therapy, which can affect their prognosis. Finally, our study was limited to a seventy-fifth percentile of 5.0 years follow-up and interpretation of our data should be restricted to this period.

Conclusion

Increasing extent of obstructive CAD in diabetes patients was associated with an incremental rate of MI, death, and MACE for at least 5 years. Thus, assessment of CAD extent can assist in identifying diabetes patients at high risk of cardiovascular events, who may benefit the most from primary prophylactic measures.
  24 in total

1.  Nonobstructive coronary artery disease and risk of myocardial infarction.

Authors:  Thomas M Maddox; Maggie A Stanislawski; Gary K Grunwald; Steven M Bradley; P Michael Ho; Thomas T Tsai; Manesh R Patel; Amneet Sandhu; Javier Valle; David J Magid; Benjamin Leon; Deepak L Bhatt; Stephan D Fihn; John S Rumsfeld
Journal:  JAMA       Date:  2014-11-05       Impact factor: 56.272

2.  Cardiovascular complications in Type 2 diabetes mellitus depend on the coronary angiographic state rather than on the diabetic state.

Authors:  C H Saely; S Aczel; T Marte; P Langer; H Drexel
Journal:  Diabetologia       Date:  2003-12-16       Impact factor: 10.122

3.  A modified poisson regression approach to prospective studies with binary data.

Authors:  Guangyong Zou
Journal:  Am J Epidemiol       Date:  2004-04-01       Impact factor: 4.897

4.  The Danish Register of Causes of Death.

Authors:  Karin Helweg-Larsen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

5.  The Danish National Patient Register.

Authors:  Elsebeth Lynge; Jakob Lynge Sandegaard; Matejka Rebolj
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

6.  Existing data sources for clinical epidemiology: The Western Denmark Heart Registry.

Authors:  Morten Schmidt; Michael Maeng; Carl-Johan Jakobsen; Morten Madsen; Leif Thuesen; Per Hostrup Nielsen; Hans Erik Bøtker; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2010-08-09       Impact factor: 4.790

Review 7.  The Danish Civil Registration System as a tool in epidemiology.

Authors:  Morten Schmidt; Lars Pedersen; Henrik Toft Sørensen
Journal:  Eur J Epidemiol       Date:  2014-06-26       Impact factor: 8.082

8.  Cardiovascular disease incidence and mortality in older men with diabetes and in men with coronary heart disease.

Authors:  S G Wannamethee; A G Shaper; L Lennon
Journal:  Heart       Date:  2004-12       Impact factor: 5.994

9.  The significant effect of diabetes duration on coronary heart disease mortality: the Framingham Heart Study.

Authors:  Caroline S Fox; Lisa Sullivan; Ralph B D'Agostino; Peter W F Wilson
Journal:  Diabetes Care       Date:  2004-03       Impact factor: 19.112

10.  Existing data sources for clinical epidemiology: The Danish National Database of Reimbursed Prescriptions.

Authors:  Sigrun Alba Johannesdottir; Erzsébet Horváth-Puhó; Vera Ehrenstein; Morten Schmidt; Lars Pedersen; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2012-11-12       Impact factor: 4.790

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  6 in total

1.  Myocardial salvage by succinate dehydrogenase inhibition in ischemia-reperfusion injury depends on diabetes stage in rats.

Authors:  Pernille Tilma Tonnesen; Marie Vognstoft Hjortbak; Nichlas Riise Jespersen; Thomas Ravn Lassen; Jacob Marthinsen Seefeldt; Hans Erik Bøtker
Journal:  Mol Cell Biochem       Date:  2021-03-05       Impact factor: 3.396

2.  The C allele of the reactive oxygen species modulator 1 (ROMO1) polymorphism rs6060566 is a biomarker predicting coronary artery stenosis in Slovenian subjects with type 2 diabetes mellitus.

Authors:  Miha Tibaut; Sara Mankoč Ramuš; Daniel Petrovič
Journal:  BMC Med Genomics       Date:  2020-12-10       Impact factor: 3.063

3.  Exacerbated post-infarct pathological myocardial remodelling in diabetes is associated with impaired autophagy and aggravated NLRP3 inflammasome activation.

Authors:  Shuai Mao; Peipei Chen; Wenjun Pan; Lei Gao; Minzhou Zhang
Journal:  ESC Heart Fail       Date:  2021-12-28

4.  Type 2 diabetes and the risk of cardiovascular events in peripheral artery disease versus coronary artery disease.

Authors:  Lukas Sprenger; Arthur Mader; Barbara Larcher; Maximilian Mächler; Alexander Vonbank; Daniela Zanolin-Purin; Andreas Leiherer; Axel Muendlein; Heinz Drexel; Christoph H Saely
Journal:  BMJ Open Diabetes Res Care       Date:  2021-11

5.  Association between the extent of coronary artery disease and prognosis in patients with diabetes mellitus [Letter].

Authors:  Huan Xu; Hui-Ju Bu; Jing-Zhao He
Journal:  Clin Epidemiol       Date:  2019-08-13       Impact factor: 4.790

6.  Extent of coronary artery disease is associated with myocardial infarction and mortality in patients with diabetes mellitus [Response to Letter].

Authors:  Kevin Kris Warnakula Olesen; Christine Gyldenkerne; Morten Madsen; Troels Thim; Lisette Okkels Jensen; Bent Raungaard; Henrik Toft Sørensen; Hans Erik Bøtker; Michael Maeng
Journal:  Clin Epidemiol       Date:  2019-08-13       Impact factor: 4.790

  6 in total

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