OBJECTIVE

To explore the long-term association of survival benefit from early revascularization with the magnitude of ischemia in patients with diabetes compared with those without diabetes using a large observational cohort of patients undergoing single photon emission computed tomography myocardial perfusion imaging (SPECT-MPI).

RESEARCH DESIGN AND METHODS

Of 41,982 patients who underwent stress and rest SPECT-MPI from 1998 to 2017, 8,328 (19.8%) had diabetes. A propensity score was used to match 8,046 patients with diabetes to 8,046 patients without diabetes. Early revascularization was defined as occurring within 90 days after SPECT-MPI. The percentage of myocardial ischemia was assessed from the magnitude of reversible myocardial perfusion defect on SPECT-MPI.

RESULTS

Over a median 10.3-year follow-up, the annualized mortality rate was higher for the patients with diabetes compared with those without diabetes (4.7 vs. 3.6%; P < 0.001). There were significant interactions between early revascularization and percent myocardial ischemia in patients with and without diabetes (all interaction P values <0.05). After adjusting for confounding variables, survival benefit from early revascularization was observed in patients with diabetes above a threshold of >8.6% ischemia and in patients without diabetes above a threshold of >12.1%. Patients with diabetes receiving insulin had a higher mortality rate (6.2 vs. 4.1%; P < 0.001), but there was no interaction between revascularization and insulin use (interaction P value = 0.405).

CONCLUSIONS

Patients with diabetes, especially those on insulin treatment, had higher mortality rate compared with patients without diabetes. Early revascularization was associated with a mortality benefit at a lower ischemic threshold in patients with diabetes compared with those without diabetes.

Diabetes is one of the major risk factors for coronary artery disease (CAD) and is increasingly prevalent among contemporary populations (1). While optimal medical treatment is the foundation of CAD management in patients with diabetes (2,3), coronary artery revascularization is an additional treatment option, depending on the patient’s clinical characteristics, risk level by noninvasive testing, and CAD burden (4). Current guidelines emphasize individualized consideration for the need and optimal selection of revascularization strategy for patients with diabetes (3,5).

A major goal of CAD management, including medical treatment and revascularization, is to improve survival. Previous observational studies suggested the survival benefit of revascularization might vary depending on patients’ ischemic burden (69). Compared with patients without diabetes, patients with diabetes have a higher prevalence of abnormal results on single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) (10) and a higher risk of adverse outcomes even at a similar degree of myocardial ischemia (11,12). However, whether there is a difference in potential benefit of revascularization according to ischemic burden in patients with diabetes compared with patients without diabetes has not been evaluated previously. The major objective of the current study was to explore the potential differences in the benefit of early revascularization between patients with and without diabetes using a large observational cohort of patients who underwent SPECT-MPI with long-term follow-up for all-cause mortality (ACM).

Patient Population

The current study included 52,853 consecutive patients who underwent stress/rest SPECT-MPI at Cedars-Sinai Medical Center from 1 January 1998 to 31 December 2017. After excluding patients with known valvular heart disease, cardiomyopathy, or history of cardiac transplantation (n = 1,586), missing essential data (diabetes status, early revascularization status, or key prognostic risk factors; n = 8,016), and those lost to follow-up (n = 1,269), 41,982 patients were included. For patients who underwent more than one test during the study period, only the first test was evaluated. All patients were prospectively enrolled in a research database at the time of testing and were followed for the occurrence of mortality. The study was approved by the Cedars-Sinai Medical Center Institutional Review Board and complied with the Declaration of Helsinki.

Data regarding early revascularization were prospectively collected and included patients who underwent revascularization with percutaneous coronary intervention (PCI) or coronary artery bypass graft surgery (CABG) within the first 90 days after the SPECT-MPI. Hereafter, these patients are referred as the “early revascularization” group, and the patients who did not undergo early revascularization are referred to as the “medical treatment” group.

Clinical Data

Demographic information was obtained at the time of the SPECT-MPI, including age, sex, cardiac symptoms, CAD risk factors, BMI, medication use, and prior CAD status. Patient CAD risk factors included hypertension, hyperlipidemia, diabetes, current smoking, family history of premature CAD, peripheral vascular disease, chronic kidney disease, and stroke. Patients with diabetes were categorized as insulin treated diabetes versus non-insulin treated diabetes according to insulin use status at the time of scanning.

Imaging Protocol and Analysis

All patients underwent symptom-limited exercise or pharmacological stress testing using adenosine, regadenoson, or dobutamine. Stress/rest SPECT-MPI was performed according to standard protocols. Patients were imaged using a dual-isotope rest thallium-201/stress technetium-99m (99mTc)-sestamibi protocol until 2007, a rest/stress 99mTc-sestamibi protocol until 2012, and then a stress/rest 99mTc-sestamibi protocol thereafter. Semiquantitative visual interpretation of SPECT-MPI images was performed by experienced observers according to a 5-point score (0 = normal to 4 = absence of tracer uptake) for each myocardial segment, with division of images into 20 myocardial segments before February 2005 and 17 myocardial segments thereafter (13). Summed stress score (SSS), summed rest score (SRS), and summed difference score (SDS) were generated and converted to percent myocardium by dividing summed scores by 80 for studies with 20-segment analysis or by 68 for studies with 17-segment analysis, and then multiplying by 100 (13). We defined SDS <5% as the presence of no ischemia, and SDS 5–9.9% as mild, 9.9–14.9% as moderate, and ≥15% as severe myocardial ischemia (14). Left ventricular ejection fraction (LVEF) was measured with 8- or 16-frame gating using Quantitative Gated SPECT software (Cedars-Sinai Medical Center, Los Angeles, CA).

Study End Point

The primary end point was ACM. Follow-up for ACM was performed by using internal hospital medical records as well as the Social Security Death Index, California Noncomprehensive Death File, and National Death Index. The last date of access for the Social Security Death Index was 9 April 2012, the last date of access for California Noncomprehensive Death File was 22 July 2020, and the last date of access for the National Death Index was 12 February 2018. The median follow-up duration was 11.3 years (interquartile range [IQR], 7.7–14.1).

Statistical Analyses

Categorical variables are shown as n (%). Continuous variables are shown as mean ± SD or median values (IQR). Categorical variables were compared by the χ2 test, and continuous variables were compared by the Student t test or Mann-Whitney U test, as appropriate.

To compare the survival benefit from early revascularization compared with medical treatment between patients with and without diabetes, we adjusted for confounding factors using propensity score matching for reducing the impact of differences in baseline characteristics among patients with and without diabetes (15). Propensity scores were calculated from the predicted probabilities of a multiple logistic regression model predicting diabetes by using the following variables: early revascularization, ischemic category (no [SDS, <5%], mild [SDS, 5–9.9%], moderate [SDS, 10–14.9%], or severe ischemia [SDS, ≥15%]), age, sex, BMI, hypertension, hyperlipidemia, family history of CAD, smoking, prior history of CAD, chronic kidney disease, peripheral vascular disease, a history of stroke, stress test type (pharmacological or exercise stress), LVEF, %SRS, and presence of chest pain or shortness of breath (16). We used a caliper width equal to 0.2 of the SD of the propensity score for 1:1 nearest neighbor propensity score matching. Adequacy of matching was assessed with absolute standardized differences, with residual differences >0.1 considered significant (17).

Kaplan-Meier survival curves, stratified by patients with or without diabetes and early revascularization or medical treatment in each ischemic category, no ischemia (SDS <5%), mild ischemia (SDS, 5–9.9%), or moderate to severe ischemia (SDS ≥10%), were used to assess the primary outcome of ACM and compared using the log-rank test, followed by the Holm post hoc test. A Cox regression model was used to assess associations between early revascularization versus medical treatment and ACM among the propensity-matched cohort with and without diabetes overall and in each ischemic category (no, mild, moderate, and severe ischemia). The following variables were included in all multivariable models for adjustment: age, sex, BMI, diabetes (no diabetes, non–insulin-treated diabetes, and insulin-treated diabetes), hypertension, hyperlipidemia, family history of CAD, smoking, prior history of CAD, chronic kidney disease, peripheral vascular disease, a history of stroke, stress test type (pharmacological or exercise stress), LVEF, %SDS, %SRS, and cardiac symptoms (8). We used a multivariable model to account for nonrandomization early revascularization. Our model included the same components as the analysis performed by Patel et al. (8), where ischemia was only accounted for in the multivariable model. The hazard ratios (HRs) of early revascularization versus medical treatment for ACM at levels of each percent ischemic myocardium (i.e., %SDS) were calculated and plotted to identify the threshold of ischemic myocardium at which the patient may have survival benefit from early revascularization compared with medical treatment, where the upper 95% CI crosses an adjusted HR of 1.00. The interactions between early revascularization versus medical treatment and diabetes and %SDS were assessed in predicting ACM. Among patients with diabetes, we evaluated potential interactions between insulin use (insulin-treated or non–insulin-treated) and type of revascularization (CABG or PCI) with mortality outcomes using the Cox model. We conducted a subanalysis after excluding patients with impaired LVEF (<35%). The interactions between insulin use, type of revascularization, and prognosis were also assessed. To assess whether the association between revascularization and ACM changed over time in relationship to the changing proportion of myocardial ischemia and improvement of medical treatment, we assessed for interaction between revascularization and two time periods (1998–2007 and 2008–2017). A two-sided P < 0.05 was considered statistically significant. All statistical analyses were performed with R 3.5.3 (R Foundation for Statistical Computing, Vienna, Austria) or Stata 16 (StataCorp LLC, College Station, TX) software.

Patient Population

The study included 41,982 patients, and 8,328 (19.8%) patients had diabetes (Table 1). Patients with diabetes were older (63.3 vs. 61.6 years; P < 0.001), more commonly had lower LVEF (60.5% vs. 63.9%; P < 0.001), moderate to severe ischemia (8.5% vs. 4.8%), higher mean percent ischemic myocardium (2.5% vs. 1.4%; P < 0.001), and a higher rate of early revascularization (7.9% vs. 4.6%; P < 0.001) (Table 1). Patients with diabetes more frequently underwent a pharmacological stress test compared with patients without diabetes. After propensity score matching, the number of patients with diabetes decreased to 8,046 matched to 8,046 patients without diabetes. The diabetes and nondiabetes groups were well matched, with no significant differences in baseline characteristics. Standardized differences of all matching covariates between groups were <0.05, indicating excellent covariate balance (Supplementary Table 1) (15,17).

Table 1

Baseline characteristics before and after matching

Before propensity matchingP valueAfter propensity matchingStandardized differenceP value
Nondiabetes n = 33,654Diabetes n = 8,328Nondiabetes n = 8,046Diabetes n = 8,046
Age (years) 61.6 ± 13.7 63.3 ± 12.3 <0.001 63.9 ± 13.4 63.4 ± 12.3 0.039 0.014 
Male sex 18,666 (55.5) 4,717 (56.6) 0.053 4,539 (56.4) 4,543 (56.5) 0.001 0.962 
BMI (kg/m227.6 ± 6.1 30.5 ± 7.4 <0.001 30.3 ± 7.9 30.3 ± 7.1 <0.001 0.983 
Hypertension 17,972 (53.4) 6,549 (78.6) <0.001 6,343 (78.8) 6,272 (78.0) 0.021 0.18 
Hyperlipidemia 16,157 (48.0) 4,970 (59.7) <0.001 4,714 (58.6) 4,760 (59.2) 0.012 0.471 
Insulin use — 2,977 (35.7)  — 2,832 (35.2)   
Family history of CAD 5,727 (17.0) 1,128 (13.5) <0.001 1,104 (13.7) 1,101 (13.7) 0.001 0.963 
Smoking 3,010 (8.9) 586 (7.0) <0.001 547 (6.8) 575 (7.1) 0.014 0.403 
History of prior CAD 5,001 (14.9) 1,981 (23.8) <0.001 1,940 (24.1) 1,869 (23.2) 0.021 0.194 
Peripheral vascular disease 1,264 (3.8) 731 (8.8) <0.001 616 (7.7) 633 (7.9) 0.008 0.637 
Chronic kidney disease 1,379 (4.1) 1,277 (15.3) <0.001 972 (12.1) 1,094 (13.6) 0.045 0.004 
History of cerebral stroke 947 (2.8) 515 (6.2) <0.001 429 (5.3) 456 (5.7) 0.015 0.369 
Pharmacological stress test 16,350 (48.6) 6,048 (72.6) <0.001 5,836 (72.5) 5,773 (71.7) 0.017 0.276 
Chest pain or SOB 22,873 (68.0) 5,436 (65.3) <0.001 5,364 (66.7) 5,272 (65.5) 0.024 0.13 
LVEF (%) 63.9 ± 12.6 60.5 ± 14.1 <0.001 60.7 ± 14.2 60.9 ± 14.0 0.013 0.402 
SSS (%) 2.6 ± 6.8 4.6 ± 8.8 <0.001 4.5 ± 9.0 4.3 ± 8.6 0.019 0.224 
SRS (%) 1.1 ± 4.4 2.0 ± 5.9 <0.001 2.0 ± 6.2 1.9 ± 5.7 0.026 0.096 
SDS (%) 1.4 ± 4.0 2.5 ± 5.0 <0.001 2.4 ± 5.0 2.3 ± 4.9 0.004 0.82 
Ischemic category        
 Normal (SDS <5%) 30,162 (89.6) 6,770 (81.3) <0.001 6,579 (81.8) 6,629 (82.4) 0.021 0.62 
 Mild (SDS 5–9.9%) 1,869 (5.6) 853 (10.2)  785 (9.8) 779 (9.7)   
 Moderate (SDS 10–14.9%) 792 (2.4) 379 (4.6)  364 (4.5) 346 (4.3)   
 Severe (SDS >15%) 831 (2.5) 326 (3.9)  318 (4.0) 292 (3.6)   
Early revascularization 1,559 (4.6) 658 (7.9) <0.001 635 (7.9) 548 (6.8) 0.041 0.009 
Before propensity matchingP valueAfter propensity matchingStandardized differenceP value
Nondiabetes n = 33,654Diabetes n = 8,328Nondiabetes n = 8,046Diabetes n = 8,046
Age (years) 61.6 ± 13.7 63.3 ± 12.3 <0.001 63.9 ± 13.4 63.4 ± 12.3 0.039 0.014 
Male sex 18,666 (55.5) 4,717 (56.6) 0.053 4,539 (56.4) 4,543 (56.5) 0.001 0.962 
BMI (kg/m227.6 ± 6.1 30.5 ± 7.4 <0.001 30.3 ± 7.9 30.3 ± 7.1 <0.001 0.983 
Hypertension 17,972 (53.4) 6,549 (78.6) <0.001 6,343 (78.8) 6,272 (78.0) 0.021 0.18 
Hyperlipidemia 16,157 (48.0) 4,970 (59.7) <0.001 4,714 (58.6) 4,760 (59.2) 0.012 0.471 
Insulin use — 2,977 (35.7)  — 2,832 (35.2)   
Family history of CAD 5,727 (17.0) 1,128 (13.5) <0.001 1,104 (13.7) 1,101 (13.7) 0.001 0.963 
Smoking 3,010 (8.9) 586 (7.0) <0.001 547 (6.8) 575 (7.1) 0.014 0.403 
History of prior CAD 5,001 (14.9) 1,981 (23.8) <0.001 1,940 (24.1) 1,869 (23.2) 0.021 0.194 
Peripheral vascular disease 1,264 (3.8) 731 (8.8) <0.001 616 (7.7) 633 (7.9) 0.008 0.637 
Chronic kidney disease 1,379 (4.1) 1,277 (15.3) <0.001 972 (12.1) 1,094 (13.6) 0.045 0.004 
History of cerebral stroke 947 (2.8) 515 (6.2) <0.001 429 (5.3) 456 (5.7) 0.015 0.369 
Pharmacological stress test 16,350 (48.6) 6,048 (72.6) <0.001 5,836 (72.5) 5,773 (71.7) 0.017 0.276 
Chest pain or SOB 22,873 (68.0) 5,436 (65.3) <0.001 5,364 (66.7) 5,272 (65.5) 0.024 0.13 
LVEF (%) 63.9 ± 12.6 60.5 ± 14.1 <0.001 60.7 ± 14.2 60.9 ± 14.0 0.013 0.402 
SSS (%) 2.6 ± 6.8 4.6 ± 8.8 <0.001 4.5 ± 9.0 4.3 ± 8.6 0.019 0.224 
SRS (%) 1.1 ± 4.4 2.0 ± 5.9 <0.001 2.0 ± 6.2 1.9 ± 5.7 0.026 0.096 
SDS (%) 1.4 ± 4.0 2.5 ± 5.0 <0.001 2.4 ± 5.0 2.3 ± 4.9 0.004 0.82 
Ischemic category        
 Normal (SDS <5%) 30,162 (89.6) 6,770 (81.3) <0.001 6,579 (81.8) 6,629 (82.4) 0.021 0.62 
 Mild (SDS 5–9.9%) 1,869 (5.6) 853 (10.2)  785 (9.8) 779 (9.7)   
 Moderate (SDS 10–14.9%) 792 (2.4) 379 (4.6)  364 (4.5) 346 (4.3)   
 Severe (SDS >15%) 831 (2.5) 326 (3.9)  318 (4.0) 292 (3.6)   
Early revascularization 1,559 (4.6) 658 (7.9) <0.001 635 (7.9) 548 (6.8) 0.041 0.009 

Data are presented as n (%) or mean ± SD. SOB, shortness of breath.

Long-term Mortality and Kaplan-Meier Analyses

In the propensity-matched cohort, 2,983 patients (37.1%) died in the diabetes group and 2,566 patients (31.9%) died in the nondiabetes group during a median follow-up time of 10.3 years (IQR 6.6–13.1). The annualized mortality rate was higher in the diabetes group compared with the nondiabetes group (4.7 vs. 3.6%; P < 0.001). The higher annualized mortality rate was observed in the diabetes group versus nondiabetes group in patients with ischemia (6.8 vs. 5.2%) or without ischemia (4.3 vs. 3.2%; all P < 0.001). Kaplan-Meier curves for mortality according to diabetes and revascularization status in each ischemic category are shown in Fig. 1. In patients with no ischemia (SDS <5%), early revascularization was associated with increased mortality risk in both diabetes and nondiabetes groups. In patients with mild ischemia (SDS, 5–9.9%), early revascularization was associated with lower mortality in the diabetes group. There was no significant difference between early revascularization and medical treatment in the nondiabetes group with mild ischemia. In patients with moderate or severe ischemia (SDS ≥10%), early revascularization was associated with lower mortality in both diabetes and nondiabetes groups.

Figure 1

Kaplan-Meier curves for ACM by revascularization and diabetes in propensity-matched cohort in patients with no ischemia (A), mild ischemia (B), and moderate to severe ischemia (C). Revasc, revascularization; Tx, treatment.

Figure 1

Kaplan-Meier curves for ACM by revascularization and diabetes in propensity-matched cohort in patients with no ischemia (A), mild ischemia (B), and moderate to severe ischemia (C). Revasc, revascularization; Tx, treatment.

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Cox Proportional Hazard Analysis

Table 2 reports the results of the univariable and multivariable analyses for the survival benefit from early revascularization among the propensity-matched cohort. In multivariable analysis, early revascularization was associated with a survival benefit for the patients with severe ischemia (SDS ≥15%) in both diabetes and nondiabetes groups. In the patients with moderate ischemia (SDS, 10–14.9%), early revascularization was associated with survival benefit in the diabetes group but not in the nondiabetes group. In patients with no or mild ischemia (SDS <10%), there was no survival benefit from early revascularization for both diabetes and nondiabetes groups. Figure 2 shows the association between early revascularization and ACM at each level of percent ischemic myocardium. There was a significant association with survival benefit from early revascularization in patients with >8.6% ischemic myocardium for the diabetes group (Fig. 2A) and those with >12.1% ischemic myocardium for the nondiabetes group (Fig. 2B).

Figure 2

Association between ischemia, early revascularization, and ACM after multivariable adjustment in patients with diabetes (A) and without diabetes (B).

Figure 2

Association between ischemia, early revascularization, and ACM after multivariable adjustment in patients with diabetes (A) and without diabetes (B).

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Table 2

Association between early revascularization and ACM in patients with and without diabetes in propensity-matched cohort

ACM in Revasc n/N (%)ACM in medical Tx n/N (%)UnivariableMultivariable
HR (95% CI)P valueHR (95% CI)P value
Overall       
 Nondiabetes 270/635 (42.5) 2,296/7,411 (31.0) 1.38 (1.22–1.57) <0.001 0.94 (0.80–1.09) 0.384 
 Diabetes 250/548 (45.6) 2,733/7,498 (36.4) 1.14 (1.01–1.30) 0.043 0.80 (0.69–0.93) 0.003 
Normal %SDS <5%       
 Nondiabetes 53/118 (44.9) 1,850/6,461 (28.6) 1.80 (1.37–2.37) <0.001 1.17 (0.88–1.55) 0.274 
 Diabetes 50/111 (45.0) 2,195/6,518 (33.7) 1.38 (1.04–1.83) 0.025 0.94 (0.70–1.25) 0.648 
Mild ischemia %SDS 5–9.9%       
 Nondiabetes 77/174 (44.3) 272/611 (44.5) 1.00 (0.78–1.29) 0.994 1.13 (0.87–1.47) 0.352 
 Diabetes 69/168 (41.1) 320/611 (52.4) 0.64 (0.49–0.83) 0.001 0.78 (0.59–1.02) 0.073 
Moderate ischemia %SDS 10–14.9%       
 Nondiabetes 92/165 (44.2) 90/199 (45.2) 1.00 (0.73–1.36) 0.987 1.11 (0.80–1.55) 0.531 
 Diabetes 61/125 (48.8) 126/221 (57.0) 0.72 (0.53–0.98) 0.035 0.69 (0.49–0.98) 0.036 
Severe ischemia %SDS ≥15%       
 Nondiabetes 67/178 (37.6) 84/140 (60.0) 0.46 (0.33–0.63) <0.001 0.48 (0.34–0.68) <0.001 
 Diabetes 70/144 (48.6) 92/148 (62.2) 0.63 (0.46–0.86) 0.003 0.64 (0.46–0.89) 0.008 
ACM in Revasc n/N (%)ACM in medical Tx n/N (%)UnivariableMultivariable
HR (95% CI)P valueHR (95% CI)P value
Overall       
 Nondiabetes 270/635 (42.5) 2,296/7,411 (31.0) 1.38 (1.22–1.57) <0.001 0.94 (0.80–1.09) 0.384 
 Diabetes 250/548 (45.6) 2,733/7,498 (36.4) 1.14 (1.01–1.30) 0.043 0.80 (0.69–0.93) 0.003 
Normal %SDS <5%       
 Nondiabetes 53/118 (44.9) 1,850/6,461 (28.6) 1.80 (1.37–2.37) <0.001 1.17 (0.88–1.55) 0.274 
 Diabetes 50/111 (45.0) 2,195/6,518 (33.7) 1.38 (1.04–1.83) 0.025 0.94 (0.70–1.25) 0.648 
Mild ischemia %SDS 5–9.9%       
 Nondiabetes 77/174 (44.3) 272/611 (44.5) 1.00 (0.78–1.29) 0.994 1.13 (0.87–1.47) 0.352 
 Diabetes 69/168 (41.1) 320/611 (52.4) 0.64 (0.49–0.83) 0.001 0.78 (0.59–1.02) 0.073 
Moderate ischemia %SDS 10–14.9%       
 Nondiabetes 92/165 (44.2) 90/199 (45.2) 1.00 (0.73–1.36) 0.987 1.11 (0.80–1.55) 0.531 
 Diabetes 61/125 (48.8) 126/221 (57.0) 0.72 (0.53–0.98) 0.035 0.69 (0.49–0.98) 0.036 
Severe ischemia %SDS ≥15%       
 Nondiabetes 67/178 (37.6) 84/140 (60.0) 0.46 (0.33–0.63) <0.001 0.48 (0.34–0.68) <0.001 
 Diabetes 70/144 (48.6) 92/148 (62.2) 0.63 (0.46–0.86) 0.003 0.64 (0.46–0.89) 0.008 

Bold values indicate statistically significant results (P < 0.05). Multivariable model included age, sex, BMI, diabetes, hypertension, dyslipidemia, family history of CAD, smoking, prior history of CAD, chronic kidney disease, peripheral vascular disease, a history of stroke, stress test type, left ventricular ejection fraction, %SDS, %SRS, and cardiac symptoms. Medical Tx, medical treatment group; Revasc, revascularization group.

Interactions for Mortality Between Revascularization, Myocardial Ischemia, and Diabetes

Significant interactions were observed in the prediction of mortality between early revascularization and myocardial ischemia (interaction-adjusted HR 0.97, 95% CI 0.96–0.98, P < 0.001) and early revascularization and diabetes (interaction-adjusted HR 0.91, 95% CI 0.82–0.998, P = 0.046) in the overall population before propensity matching (n = 41,982). The three-way interaction of early revascularization, percent myocardial ischemia, and diabetes was not significant (P = 0.252) in the overall population. In patients without diabetes (n = 33,654), there was significant interaction in early revascularization and percent myocardial ischemia (interaction adjusted HR 0.97, 95% CI 0.95–0.98, P < 0.001). In patients with diabetes (n = 8,328), significant interaction was also observed between early revascularization and percent myocardial ischemia (interaction-adjusted HR 0.98, 95% CI 0.97–0.997, P = 0.020) (Supplementary Table 2).

Interaction Between Revascularization and Insulin Use in Patients With Diabetes

In a total of 8,328 patients with diabetes before propensity matching, 2,832 patients (35.2%) were treated with insulin at baseline. Supplementary Fig. 2 shows Kaplan-Meier curves for mortality according to insulin use in patients with diabetes. During a median follow-up time of 9.8 years (IQR 6.2–12.6), patients with insulin treatment had a higher annualized mortality rate than those without insulin treatment (4.1% for non–insulin-treated diabetes vs. 6.2% for insulin-treated diabetes, P < 0.001). There was no interaction in the prediction of mortality between insulin use and percent myocardial ischemia (P = 0.335) and early revascularization (P = 0.405) (Supplementary Table 2).

Interaction Between Revascularization Strategies in Patients With Diabetes

A total of 658 patients (7.9%) underwent early revascularization among 8,328 patients with diabetes. Of those, 484 patients (73.6%) underwent PCI, and 174 patients (26.4%) underwent CABG. Patients who underwent CABG had greater myocardial ischemia and lower LVEF (Supplementary Table 3). By multivariable Cox regression analysis, CABG strategy was not associated with an increased risk of ACM compared with PCI strategy (adjusted HR 0.95, 95% CI 0.73–1.25, P = 0.733). Supplementary Fig. 2 shows Kaplan-Meier curves for mortality according to the type of revascularization in patients with diabetes. During a median follow-up time of 10.7 years (IQR 7.4–13.3), there was no significant difference in the annualized mortality rate between revascularization strategies (5.6% for PCI vs. 5.8% for CABG, P = 0.728). In addition, there was no interaction in the prediction of mortality between revascularization strategies and percent myocardial ischemia (P = 0.781) and insulin use (P = 0.346) (Supplementary Table 2). There was no interaction between early revascularization and the two time periods, 1998–2007 and 2008–2017, in the overall population (interaction HR 1.02, 95% CI 0.82–1.27, interaction P value = 0.878).

Subanalysis for the Patients Without Impaired LVEF

Patients with severely impaired LVEF (<35%, 3.8% of the total population) had higher a prevalence of moderate to severe ischemia (325 of 1,580 [20.6%]) and a higher burden of CAD risk factors compared with those without impaired LVEF (Supplementary Table 4). After excluding these patients, significant interactions remained between revascularization and myocardial ischemia in patients both with and without diabetes (interaction P value = 0.017 for patients with diabetes and interaction P value <0.001 for patients without diabetes). In patients with severe ischemia without impaired LVEF, revascularization was significantly associated with a reduced risk of ACM in patients both with and without diabetes (Supplementary Table 5). The threshold for receiving survival benefit was 10.2% for patients with diabetes and 16.2% for patients without diabetes (Supplementary Fig. 3).

In the current study, we explored the differences in long-term survival benefits from early revascularization between patients with and without diabetes. The principal findings of the current study are as follows: 1) significant interactions existed between early revascularization and percent myocardial ischemia regarding mortality benefit in patients both with and without diabetes; 2) the threshold of ischemic burden to receive survival benefit from early revascularization was lower in patients with diabetes compared with patients without diabetes; 3) while insulin-treated diabetes had higher mortality risk compared with non–insulin-treated diabetes, there was no interaction between early revascularization and insulin use for mortality outcome; 4) in patients with diabetes who underwent early revascularization, there was no significant mortality difference between PCI versus CABG revascularization strategies.

Revascularization Strategy for CAD Management in Patients With Diabetes

Several prior studies have investigated whether early revascularization has a prognostic benefit for the management of CAD across the range of ischemia by SPECT-MPI. Hachamovitch et al. (6,7) showed that patients with >10–12.5% myocardial ischemia might benefit from early revascularization to decrease the risk of death. A recent study reported a similar mortality benefit between PCI and CABG in patients with severe ischemia (18). Similar findings regarding the relationship of revascularization and survival benefit have been found in previous studies, including a large multicenter, multinational registry (8,9).

In the current study, we identified a significant interaction for ACM between diabetes and early revascularization (interaction HR 0.91, interaction P value = 0.046). Consistent with this, the threshold of percent myocardial ischemia related to survival benefit from early revascularization was lower in patients with diabetes compared with patients without diabetes (>8.6% vs. >12.1%, respectively). Multiple studies using MPI have shown that the risk of adverse cardiac events is higher in patients with diabetes than in those without (11,19). A recent study showed that the rate of ACM, myocardial infarction, unstable angina, and late revascularization (>3 months after image acquisition) in patients with >10% ischemic myocardium was more than doubled in patients with diabetes compared with those without diabetes (12). Our findings suggest that the ischemic threshold for a survival benefit from revascularization is lower in patients with diabetes. In terms of categorical ischemic burden, patients with moderate or greater myocardial ischemia (≥10%) and diabetes and those with severe myocardial ischemia (≥15%) and without diabetes may benefit from revascularization.

The findings of this study are discordant with those of the randomized ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) trial, in which there was no benefit from a strategy of early catheterization with planned revascularization in either the overall population or in patients with diabetes who had moderate to severe ischemia (20). The reasons for the discordance between the current study and ISCHEMIA are not clear, but may be partly related to the differences that are inherent in randomized clinical trials versus observational registries (21,22). In ISCHEMIA, a referral bias may have been operative in which the patients with the highest perceived clinical risk may have been less likely to be recruited or may not have participated in the trial. Further, ISCHEMIA excluded patients who had low LVEF (<35%), left main coronary artery stenosis (>50%), or unacceptable angina (23), but who were included in this study. Taking into account the exclusion of patients with low LVEF (<35%) in the ISCHEMIA trial, we repeated the analysis in patients with LVEF ≥35%. Within this cohort, significant interaction between revascularization and myocardial ischemia was observed in patients with and without diabetes who had severe ischemia, similar to our recent findings in patients with normal LVEF (≥45%) (24). In ISCHEMIA, optimal medical management was part of the trial design, was monitored monthly, and was largely achieved by objective measurements (e.g., 100% use of antithrombotic agents and 95% use of statin) (23). It is unlikely that the high level of optimal medical therapy observed in ISCHEMIA was achieved in this observational study. Further, treatments have improved over time, such as sodium–glucose cotransporter 2 inhibitors or glucagon-like peptide 1 receptor agonists, which were not available during the time frame of this study but were available for use in the later parts of the ISCHEMIA trial (3). Additionally, since the current study was based on an observational cohort, all patients in the early revascularization group underwent revascularization. On the other hand, a high cross-over rate was observed in ISCHEMIA with an intention-to-treat analysis (revascularization was performed in 79% of patients in the invasive-strategy group and in 21% of patients in the conservative-strategy group) (14).

Insulin Use and Type of Revascularization for Mortality Risk in Patients With Diabetes

Insulin treatment was suggested to be associated with platelet dysfunction (25) and has a risk of hypoglycemia that induces secretion of adrenaline and increases the risk of adverse cardiovascular events (26,27). In previous studies, insulin-treated diabetes had a higher mortality rate and adverse cardiac events compared with non–insulin-treated diabetes (20,28). In line with the earlier observations, insulin-treated diabetes in the current study was associated with higher mortality risk compared with those without insulin use. However, we found that no significant interaction existed between early revascularization and insulin use (interaction P value = 0.405) for mortality risk.

A pooled analysis of patients with diabetes from three major trials found a significant reduction of the composite rate of death, myocardial infarction, or stroke in patients who underwent CABG compared with those with PCI or medical treatment alone during a median follow-up of 4.5 years (29). The reduction was mainly driven by myocardial infarction, and the mortality rate was comparable between CABG and PCI (29). In another pooled analysis from 11 randomized trials including 11,518 patients, 976 patients died in a mean follow-up of 3.8 years, and CABG had a lower mortality rate than PCI, especially for patients with multivessel disease or diabetes (30). In the current study, there was no significant difference in mortality risk between the PCI versus CABG revascularization strategies in patients with diabetes during a median follow-up time of 10.7 years. In addition, there were no significant interactions between the revascularization strategy and percent myocardial ischemia or insulin use. Although the revascularization strategy was not randomized in the current study, our findings may suggest no significant difference in long-term mortality if the revascularization strategy is appropriately determined.

The current study has several limitations. Since ACM was the end point, it is possible that noncardiovascular causes of death were more prevalent in the medically managed group. However, we are not able to ascertain cardiovascular mortality in this large, retrospective study. In the current study, <10% of patients in this study had moderate or severe ischemia; however, this low prevalence of myocardial ischemia is consistent with recent findings showing a decrease in ischemia over time (31,32). Although all patients in the early revascularization group underwent revascularization, it was unknown how many patients underwent revascularization >90 days of the SPECT study.

The intensity of medical management and lifestyle changes after testing was unknown. Recommended practices for optimal medical therapy for patients with diabetes did not include blood pressure and statin targets as strong as those more recently adopted. Pharmacological therapies for patients with diabetes and cardiovascular disease at the time of testing were not as effective as those more recently used as noted and were not available in the current study (3).

Finally, this is an observational study, and there are unmeasured confounders that could not be taken into account. However, these confounding factors are likely to be distributed evenly between patients with and without diabetes; therefore, our finding of different thresholds for survival benefit from revascularization between patients with and without diabetes would not be explained by the potential unmeasured confounders.

In conclusion, the benefit of early revascularization was more pronounced with an increased burden of myocardial ischemia in patients both with and without diabetes in this large, long-term observational study. The threshold of ischemic burden to receive survival benefit from early revascularization was lower in patients with diabetes compared with patients without diabetes. In patients with diabetes, the survival benefit from early revascularization was independent of insulin use and revascularization strategy.

See accompanying article, p. 2823.

This article contains supplementary material online at https://doi.org/10.2337/figshare.20415606.

K.K. and D.H. equally contributed as co-first authors.

Funding. This work was supported by a grant from the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation. K.K. receives funding support from the Society of Nuclear Medicine and Molecular Imaging Wagner-Torizuka Fellowship Grant and the Nihon University School of Medicine Alumni Association Research Grant.

Duality of Interest. D.B. and P.S. participate in software royalties for QPS software at Cedars-Sinai Medical Center. No other potential conflicts of interest relevant to this article were reported.

Author Contributions. K.K., D.H., and R.J.H.M. drafted the manuscript. K.K., D.H., R.J.H.M., A.R., H.G., D.D., S.W.H., J.D.F., L.T., P.J.S., and D.S.B. contributed to data collection. K.K., D.H., R.J.H.M., A.R., H.G., D.D., S.W.H., J.D.F., L.T., P.J.S., and D.S.B. approved the final article. K.K., D.H., and H.G. analyzed and interpreted the data. R.J.H.M., A.R., H.G., S.W.H., J.D.F., and D.S.B. contributed to critically revising the manuscript. D.S.B. is the guarantor of this work and, as such, has full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

1.
International Diabetes Federation
.
IDF Diabetes Atlas, 10th edition, 2021
.
Accessed 18 August 2022. Available from: https://diabetesatlas.org/atlas/tenth-edition/
2.
American Diabetes Association
.
10. Cardiovascular disease and risk management: Standards of Medical Care in Diabetes—2021
.
Diabetes Care
2021
;
44
(
Suppl. 1
):
S125
S150
3.
Arnold
SV
,
Bhatt
DL
,
Barsness
GW
, et al.;
American Heart Association Council on Lifestyle and Cardiometabolic Health and Council on Clinical Cardiology
.
Clinical management of stable coronary artery disease in patients with type 2 diabetes mellitus: a scientific statement from the American Heart Association
.
Circulation
2020
;
141
:
e779
e806
4.
Patel
MR
,
Calhoon
JH
,
Dehmer
GJ
, et al
.
ACC/AATS/AHA/ASE/ASNC/SCAI/SCCT/STS 2017 Appropriate use criteria for coronary revascularization in patients with stable ischemic heart disease: a report of the American College of Cardiology Appropriate Use Criteria Task Force, American Association for Thoracic Surgery, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, and Society of Thoracic Surgeons
.
J Am Coll Cardiol
2017
;
69
:
2212
2241
5.
Lawton
JS
,
Tamis-Holland
JE
,
Bangalore
S
, et al
.
2021 ACC/AHA/SCAI Guideline for Coronary Artery Revascularization: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines [published correction appears in Circulation. 2022;145:e771]
.
Circulation
.
2022
;
145
:
e4
e17
6.
Hachamovitch
R
,
Hayes
SW
,
Friedman
JD
,
Cohen
I
,
Berman
DS
.
Comparison of the short-term survival benefit associated with revascularization compared with medical therapy in patients with no prior coronary artery disease undergoing stress myocardial perfusion single photon emission computed tomography
.
Circulation
2003
;
107
:
2900
2907
7.
Hachamovitch
R
,
Rozanski
A
,
Shaw
LJ
, et al
.
Impact of ischaemia and scar on the therapeutic benefit derived from myocardial revascularization vs. medical therapy among patients undergoing stress-rest myocardial perfusion scintigraphy
.
Eur Heart J
2011
;
32
:
1012
1024
8.
Patel
KK
,
Spertus
JA
,
Chan
PS
, et al
.
Extent of myocardial ischemia on positron emission tomography and survival benefit with early revascularization
.
J Am Coll Cardiol
2019
;
74
:
1645
1654
9.
Azadani
PN
,
Miller
RJH
,
Sharir
T
, et al
.
Impact of early revascularization on major adverse cardiovascular events in relation to automatically quantified ischemia
.
JACC Cardiovasc Imaging
2021
;
14
:
644
653
10.
Rozanski
A
,
Miller
RJH
,
Han
D
, et al
.
The prevalence and predictors of inducible myocardial ischemia among patients referred for radionuclide stress testing
.
J Nucl Cardiol
.
4 October 2021 [Epub ahead of print]. DOI: 10.1007/s12350-021-02797-2
11.
Skali
H
,
Di Carli
MF
,
Blankstein
R
, et al
.
Stress myocardial perfusion PET provides incremental risk prediction in patients with and patients without diabetes
.
Radiol Cardiothorac Imaging
2019
;
1
:
e180018
12.
Han
D
,
Rozanski
A
,
Gransar
H
, et al
.
Myocardial ischemic burden and differences in prognosis among patients with and without diabetes: results from the multicenter international REFINE SPECT Registry
.
Diabetes Care
2020
;
43
:
453
459
13.
Berman
DS
,
Abidov
A
,
Kang
X
, et al
.
Prognostic validation of a 17-segment score derived from a 20-segment score for myocardial perfusion SPECT interpretation
.
J Nucl Cardiol
2004
;
11
:
414
423
14.
Maron
DJ
,
Hochman
JS
,
Reynolds
HR
, et al.;
ISCHEMIA Research Group
.
Initial invasive or conservative strategy for stable coronary disease
.
N Engl J Med
2020
;
382
:
1395
1407
15.
Elze
MC
,
Gregson
J
,
Baber
U
, et al
.
Comparison of propensity score methods and covariate adjustment: evaluation in 4 cardiovascular studies
.
J Am Coll Cardiol
2017
;
69
:
345
357
16.
Lee
J
,
Little
TD
.
A practical guide to propensity score analysis for applied clinical research
.
Behav Res Ther
2017
;
98
:
76
90
17.
Austin
PC
.
An introduction to propensity score methods for reducing the effects of confounding in observational studies
.
Multivariate Behav Res
2011
;
46
:
399
424
18.
Miller
RJH
,
Bonow
RO
,
Gransar
H
, et al
.
Percutaneous or surgical revascularization is associated with survival benefit in stable coronary artery disease
.
Eur Heart J Cardiovasc Imaging
2020
;
21
:
961
970
19.
Giri
S
,
Shaw
LJ
,
Murthy
DR
, et al
.
Impact of diabetes on the risk stratification using stress single-photon emission computed tomography myocardial perfusion imaging in patients with symptoms suggestive of coronary artery disease
.
Circulation
2002
;
105
:
32
40
20.
Newman
JD
,
Anthopolos
R
,
Mancini
GBJ
, et al
.
Outcomes of participants with diabetes in the ISCHEMIA trials
.
Circulation
2021
;
144
:
1380
1395
21.
Murthy
VL
,
Bateman
TM
,
Chen
W
, et al
.
Impact of the ISCHEMIA trial on stress nuclear myocardial perfusion imaging
.
J Nucl Med
2020
;
61
:
962
964
22.
Hannan
EL
.
Randomized clinical trials and observational studies: guidelines for assessing respective strengths and limitations
.
JACC Cardiovasc Interv
2008
;
1
:
211
217
23.
Maron
DJ
,
Hochman
JS
,
O’Brien
SM
, et al.;
ISCHEMIA Trial Research Group
.
International Study of Comparative Health Effectiveness with Medical and Invasive Approaches (ISCHEMIA) trial: rationale and design
.
Am Heart J
2018
;
201
:
124
135
24.
Rozanski
A
,
Miller
RJH
,
Gransar
H
, et al
.
Benefit of early revascularization based on inducible ischemia and left ventricular ejection fraction
.
J Am Coll Cardiol
2022
;
80
:
202
215
25.
Angiolillo
DJ
,
Bernardo
E
,
Ramírez
C
, et al
.
Insulin therapy is associated with platelet dysfunction in patients with type 2 diabetes mellitus on dual oral antiplatelet treatment
.
J Am Coll Cardiol
2006
;
48
:
298
304
26.
Frier
BM
,
Schernthaner
G
,
Heller
SR
.
Hypoglycemia and cardiovascular risks
.
Diabetes Care
2011
;
34
(
Suppl. 2
):
S132
S137
27.
Lee
AK
,
Warren
B
,
Lee
CJ
, et al
.
The association of severe hypoglycemia with incident cardiovascular events and mortality in adults with type 2 diabetes
.
Diabetes Care
2018
;
41
:
104
111
28.
Bundhun
PK
,
Li
N
,
Chen
MH
.
Adverse cardiovascular outcomes between insulin-treated and non-insulin treated diabetic patients after percutaneous coronary intervention: a systematic review and meta-analysis
.
Cardiovasc Diabetol
2015
;
14
:
135
29.
Mancini
GBJ
,
Farkouh
ME
,
Brooks
MM
, et al
.
Medical treatment and revascularization options in patients with type 2 diabetes and coronary disease
.
J Am Coll Cardiol
2016
;
68
:
985
995
30.
Head
SJ
,
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
:
939
948
31.
Rozanski
A
,
Gransar
H
,
Hayes
SW
, et al
.
Temporal trends in the frequency of inducible myocardial ischemia during cardiac stress testing: 1991 to 2009
.
J Am Coll Cardiol
2013
;
61
:
1054
1065
32.
Duvall
WL
,
Rai
M
,
Ahlberg
AW
,
O’Sullivan
DM
,
Henzlova
MJ
.
A multi-center assessment of the temporal trends in myocardial perfusion imaging
.
J Nucl Cardiol
2015
;
22
:
539
551
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