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. Author manuscript; available in PMC: 2017 Nov 10.
Published in final edited form as: Am J Cardiol. 2013 Sep 3;112(11):1703–1708. doi: 10.1016/j.amjcard.2013.07.034

Health Status and Quality of Life in Patients With Stable Coronary Artery Disease and Chronic Kidney Disease Treated With Optimal Medical Therapy or Percutaneous Coronary Intervention (Post Hoc Findings from the COURAGE Trial)

Steven P Sedlis a,*, Claudine T Jurkovitz b, Pamela M Hartigan c, Paul Kolm b, David S Goldfarb a, Jeffrey D Lorin a, Marcin Dada d, David J Maron e, John A Spertus f, GB John Mancini g,h, Koon K Teo i, William E Boden j, William S Weintraub b; for the COURAGE Study Investigators
PMCID: PMC5681221  NIHMSID: NIHMS864656  PMID: 24011740

Abstract

Chronic kidney disease (CKD) is an important clinical co-morbidity that increases the risk of death and myocardial infarction in patients with coronary artery disease (CAD) even when treated with guideline-directed therapies. It is unknown, however, whether CKD influences the effects of CAD treatments on patients’ health status, their symptoms, function, and quality of life. We performed a post hoc analysis of the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) study to compare health status in patients with stable CAD with and without CKD defined as a glomerular filtration rate of <60 ml/min/1.73 m2 randomized to either percutaneous coronary intervention (PCI) and optimal medical therapy (OMT) or OMT alone. Health status was measured at baseline, 1, 3, 6, 12, 24, and 36 months of follow-up with the Seattle Angina Questionnaire in 310 patients with CKD and 1,719 patients without CKD. Linear mixed-effects models were used to analyze Seattle Angina Questionnaire scores longitudinally. Mean scores for angina-related quality of life, angina frequency, and physical limitation domains improved from baseline values in both patients with and without CKD and plateaued. Early improvement (1 to 6 months) was more common in patients treated with PCI plus OMT than with OMT alone in both patients with and without CKD. Treatment satisfaction scores were high at baseline in all groups and did not change significantly over time. In conclusion, although CKD is an important determinant of event-free survival in patients with stable CAD, it neither precludes satisfactory treatment of angina with PCI plus OMT or OMT alone nor is it associated with an unsatisfactory quality of life.


Chronic kidney disease (CKD) is strongly associated with increased incidence of cardiovascular events in patients with stable coronary artery disease (CAD). Previous analyses from the COURAGE trial have shown that percutaneous coronary intervention (PCI) when added to optimal medical therapy (OMT) with a 14% crossover to revascularization does not reduce the risk of death or myocardial infarction in patients with CKD.1 There is little information available, however, on the effects of treatments for CAD on health status in patients with CKD. CKD has been associated with reduced physical functioning scores on the Seattle Angina Questionnaire (SAQ) in patients with CAD enrolled in a large cross-sectional study, but the effects of therapy on longitudinal health status outcomes have not been analyzed in that cohort.2 Coronary artery bypass grafting has been shown to improve physical functioning in patients with moderate (stage 3) CKD,3 but the effects of PCI and OMT on health status in patients with CKD have not been previously reported. Accordingly, we performed a post hoc analysis of clinical outcomes in the COURAGE trial after stratifying patients by their baseline kidney function.4

Methods

As described previously, 287 patients from the United States and Canada were enrolled in a randomized trial designed to determine whether PCI plus OMT, when used as an initial management strategy, reduces the risk of all-cause mortality or nonfatal myocardial infarction in patients with stable CAD compared with OMT alone.4,5 CKD was not an exclusion criterion to enrollment, and there was no upper creatinine cutoff value. Glomerular filtration rate was estimated by the abbreviated 4-variable Modification of Diet in Renal Disease equation.6 CKD was defined as a glomerular filtration rate of <60 ml/min/1.73 m2. Intensive guideline-directed therapy and lifestyle intervention were applied equally to all patients.

Angina-related health status was measured by SAQ,79 which was obtained at baseline, 1, 3, 6, and 12 months, and annually thereafter. The SAQ is a self-administered 19-item questionnaire that can be completed in <5 minutes and quantifies disease-specific health status in 5 domains: (1) physical limitations due to angina (e.g., limiting activities to avoid angina), (2) recent change in the severity of angina, (3) the frequency of angina, (4) satisfaction with treatment for angina, and (5) angina-related quality of life. Scores range from 0 to 100, with higher scores indicating better health status. For responder analyses, clinical significance of changes in each of the SAQ scales was determined by the criteria of Wyrwich et al,10 in which a change of ≥8 points on the physical limitation domain, ≥25 on the angina stability domain, ≥20 on the angina frequency domain, ≥12 on the treatment satisfaction domain, and ≥16 on the quality of life domain were considered clinically significant.

Means of observed scores for each SAQ domain at each time point were analyzed with unpaired t tests, comparing PCI plus OMT versus OMT alone for patients with or without CKD. Linear mixed-effects models were used to analyze SAQ scores longitudinally. These models included the main effects for treatment status, CKD status and time, as well as all 2-way interactions (treatment × time, CKD × time, and treatment × CKD) and the 3-way interaction (treatment × CKD × time). In addition, quadratic terms of time were included to account for nonlinear trends. In these analyses, missing data were considered missing at random. A second set of analyses treated intermittent missing data (e.g., valid values at 3 and 12 months, but a missing value at 6 months) as missing at random and were imputed using the method of multiple partial imputation.5 The time point after the last available score for a given patient was considered the dropout point. Dropout was considered nonignorable, and the data were analyzed with a pattern mixture model l.5 Finally, the aforementioned analyses were repeated including age, gender, race, diabetes, heart failure, and hypertension as covariates.

The proportion of patients with clinically significant increases in SAQ scores as defined previously were analyzed by chi-square tests for 2 by 2 tables comparing PCI plus OMT versus OMT alone with respect to change from baseline for participants with and without CKD. These analyses were performed at each time point. Longitudinal analyses were made by a generalized estimating equation for repeated measurements and were used to calculate adjusted percentage of patients with clinically significant improvement (yes or no) at each time point. These analyses included main effects for treatment status, CKD status and time, as well as all 2 interactions described previously. The same covariates included in the mixed models were also included in the general estimating exchange models.

All analyses were truncated at 36 months because data were not available for an increasingly large proportion of patients at later time points. A level of significance of p <0.01 was used for all subgroup analyses and interactions.

The study was approved by institutional review committees at each participating site, and all patients gave informed consent.

Results

There were 2,029 patients with available glomerular filtration rate data from which CKD status could be calculated. Among patients treated with PCI plus OMT, 143 (14%) had CKD, whereas among patients treated with OMT alone, 167 (17%) had CKD. Table 1 compares demographic and clinical data for PCI plus OMT versus OMT alone, stratified by CKD status. There were no significant differences between PCI plus OMT and OMT alone for patients with and without CKD for any of the observed variables, including average Canadian Cardiovascular Society angina class score (1.8 ± 1.0 vs 1.7 ± 1.1, p = 0.552 respectively for patients with CKD and 1.7 ± 1.0 vs 1.6 ± 0.9, p = 0.246 for patients without CKD). However, patients with CKD, regardless of treatment, were older, more likely to be women and to have diabetes mellitus, hypertension, heart failure, and Canadian Cardiovascular Society angina class ≥3 (p <0.01 for all).

Table 1.

Demographic and clinical characteristics by chronic kidney disease (CKD) status and treatment

Variable CKD Status PCI Plus OMT, n = 1,042 (%) OMT Alone, n = 987 (%) p
Age (yrs) CKD 68 ± 9 68 ± 10 0.983
No CKD 61 ± 10 61 ± 9 0.952
Women CKD 23 (33/143) 22 (37/167) 0.892
No CKD 12 (109/899) 12 (96/820) 0.823
Caucasian CKD 87 (124/143) 82 (137/167) 0.278
No CKD 86 (776/899) 86 (707/820) 1.000
Diabetes mellitus CKD 37 (53/143) 48 (79/165) 0.065
No CKD 33 (287/877) 34 (273/801) 0.569
Canadian CKD 0.795
  Cardiovascular
  Society class
 0 13 (19/143) 17 (29/166)
 1 25 (36/143) 24 (40/166)
 2 32 (46/143) 31 (51/166)
 3–4 29 (42/143) 28 (46/166)
No CKD 0.441
 0 11 (102/898) 12 (97/819)
 1 31 (278/898) 32 (260/819)
 2 36 (323/898) 38 (310/819)
 3–4 22 (195/898) 19 (152/819)
Heart failure CKD 12 (17/142) 13 (22/167) 0.864
No CKD   3 (27/892)   3 (27/813) 0.783
Hypertension CKD 86 (121/141) 78 (131/167) 0.104
No CKD 85 (574/889) 68 (549/811) 0.183

Table 2 lists PCI plus OMT versus OMT comparisons of observed domain means according to the CKD status. Mean scores for all but treatment satisfaction, which began high, increased substantially from baseline to 1 month for both PCI plus OMT and OMT alone, and then plateaued in both patients with and without CKD. The nonadjusted longitudinal analyses taking into account missing data showed similar results. For the physical limitation domain, there was a significant treatment status × CKD status interaction (p = 0.006), but this was due primarily to a difference in baseline scores. For treatment satisfaction, there was a significant effect of treatment status (p = 0.003). Patients treated with PCI plus OMT had better scores than patients treated with OMT alone whether they had CKD or not. The interaction treatment status × CKD status was not significant (p = 0.063) but was for the CKD status × time (p = 0.022), suggesting a different rate of improvement for those with and without CKD. Patients with CKD had lower treatment satisfaction scores at baseline than patients without CKD but increased at a greater rate and were similar to non-CKD scores from 12 months onward (Figure 1). CKD status was no significant factor influencing change in the quality of life or angina frequency domains. There was a significant treatment status × time interaction for the angina frequency (p = 0.003) domain. For angina frequency, scores of patients treated with PCI plus OMT were higher than in patients treated with OMT alone through 12 months of follow-up but were essentially at the same level by 36 months (Figure 1).

Table 2.

Seattle Angina Questionnaire means, SDs, and sample size by chronic kidney disease (CKD) status, treatment, and follow-up

Domain Visit CKD
No CKD
PCI Plus OMT
OMT Alone
p PCI Plus OMT
OMT Alone
p
n Mean ± SD n Mean ± SD n Mean ± SD n Mean ± SD
Physical limitations Baseline 109 54.7 ± 25.6 142 63.6 ± 26.2 0.008 765 67.1 ± 24.5 692 66.4 ± 25.0   0.60
1 month 104 65.5 ± 24.6 120 67.8 ± 23.7 0.47 689 74.1 ± 23.5 635 69.8 ± 24.3   0.003
3 month 108 65.0 ± 24.1 119 68.6 ± 23.8 0.26 685 77.1 ± 23.0 629 72.9 ± 23.3 <0.001
6 month 98 67.9 ± 24.7 117 64.9 ± 27.1 0.39 717 77.8 ± 22.6 606 73.2 ± 23.5 <0.001
1 yr 96 66.0 ± 26.1 114 70.5 ± 27.0 0.22 682 75.6 ± 23.8 599 73.2 ± 23.4   0.07
2 yrs 90 68.0 ± 23.8 97 71.3 ± 24.7 0.36 600 74.1 ± 24.3 551 71.4 ± 24.2   0.06
3 yrs 64 65.1 ± 26.6 72 72.0 ± 26.0 0.13 474 74.8 ± 23.8 448 73.6 ± 23.4   0.43
Quality of life Baseline 116 47.1 ± 23.3 151 51.1 ± 26.2 0.20 787 51.8 ± 24.9 702 51.6 ± 24.8   0.99
1 month 108 67.4 ± 23.2 128 63.2 ± 24.0 0.17 707 67.8 ± 23.6 657 61.3 ± 24.1 <0.001
3 month 110 71.9 ± 21.8 125 68.5 ± 22.7 0.25 701 73.1 ± 22.1 639 68.2 ± 23.1 <0.001
6 month 104 71.6 ± 24.7 118 67.0 ± 24.7 0.14 729 75.1 ± 21.8 622 70.8 ± 22.6 <0.001
1 yr 100 73.9 ± 22.3 121 75.8 ± 21.9 0.52 694 75.6 ± 20.9 608 71.7 ± 22.4   0.001
2 yrs 91 93.1 ± 11.4 97 78.1 ± 20.9 0.53 616 76.5 ± 22.1 557 74.8 ± 22.3   0.20
3 yrs 68 80.8 ± 18.5 75 79.1 ± 18.6 0.60 483 77.8 ± 20.3 454 76.9 ± 20.8   0.52
Treatment satisfaction Baseline 116 88.2 ± 14.9 151 84.8 ± 17.7 0.10 789 87.6 ± 15.0 700 85.9 ± 16.6   0.04
1 month 108 91.1 ± 11.6 129 85.6 ± 17.9 0.004 707 91.6 ± 12.0 656 89.0 ± 14.3 <0.001
3 month 110 92.6 ± 11.8 125 87.2 ± 14.3 0.002 701 92.2 ± 12.2 640 90.1 ± 13.9   0.003
6 month 104 91.3 ± 11.8 119 87.4 ± 14.6 0.03 726 91.6 ± 12.9 622 90.5 ± 13.6   0.15
1 yr 100 91.9 ± 12.2 121 90.1 ± 14.8 0.34 693 92.1 ±11.7 610 89.9 ± 13.8   0.003
2 yrs 91 93.1 ±11.4 97 92.1 ± 12.5 0.55 615 92.2 ± 12.9 558 91.8 ± 12.7   0.53
3 yrs 68 91.3 ± 13.8 75 88.6 ± 14.7 0.29 483 91.6 ± 12.1 455 91.8 ± 11.0   0.79
Angina frequency Baseline 116 65.9 ± 26.8 151 68.9 ± 26.8 0.37 788 69.5 ± 26.3 712 70.0 ± 25.5   0.25
1 month 108 80.6 ± 21.3 129 76.1 ± 25.5 0.15 709 81.7 ± 22.9 657 61.3 ± 24.1 <0.001
3 month 110 83.2 ± 22.7 125 79.8 ± 24.3 0.27 702 85.0 ± 21.9 640 81.0 ± 23.0   0.001
6 month 104 83.9 ± 21.5 120 83.3 ± 22.1 0.83 730 87.0 ± 19.6 622 83.5 ± 21.2   0.002
1 yr 100 83.9 ± 21.6 120 85.7 ± 20.7 0.54 695 87.8 ± 19.1 610 84.4 ± 20.6   0.002
2 yrs 91 89.9 ± 16.2 99 88.6 ± 18.6 0.61 617 88.9 ± 17.9 560 85.9 ± 19.4   0.007
3 yrs 68 91.2 ± 13.2 75 89.1 ± 16.5 0.40 480 88.2 ± 19.3 451 87.7 ± 18.5   0.68
Angina stability Baseline 114 50.7 ± 32.3 148 58.1 ± 32.0 0.58 774 54.6 ± 33.1 694 52.2 ±31.9   0.16
1 month 108 80.3 ± 24.4 128 69.5 ±31.0 0.003 700 80.6 ± 26.8 649 73.2 ± 27.4 <0.001
3 month 108 76.6 ± 27.0 124 72.6 ± 26.4 0.25 694 77.2 ± 27.9 630 73.2 ± 27.4   0.009
6 month 103 76.5 ± 27.1 116 70.4 ± 30.0 0.12 717 75.6 ± 28.0 614 73.7 ± 28.1   0.22
1 yr 97 69.8 ± 28.9 117 71.6 ± 29.3 0.66 679 74.0 ± 26.7 595 69.9 ± 27.9   0.008
2 yrs 91 77.2 ± 24.1 97 70.9 ± 26.9 0.09 600 72.5 ± 27.4 551 69.5 ± 27.1   0.06
3 yrs 67 72.0 ± 27.0 75 69.3 ± 27.4 0.56 474 71.2 ± 27.9 442 70.9 ± 28.2   0.88

Figure 1.

Figure 1

Observed SAQ domain mean scores by CKD status, treatment arm, and follow-up.

Addition of the covariates in the models did not change any of the associations between CKD, treatment status, and SAQ scores, except for the quality of life domain for which the interaction treatment status × time where p = 0.04 versus p = 0.057 in the nonadjusted model. Of the 987 patients treated with OMT alone, 227 (23.0%) had subsequent PCI (crossover) at any time during the study. The inclusion of crossover status as a covariate in the models did not result in any significant effect on the SAQ scores (p >0.15 for all analyses).

Figure 2 shows the percentage of patients with clinically significant increases in SAQ scores from baseline. For physical limitation, the percentage of patients with CKD with a clinically significant increase was greater among those treated with PCI plus OMT versus those treated with OMT alone at 1, 3, and 6 months. There were no significant differences between PCI plus OMT and OMT alone among the patients without CKD at any follow-up time (Figure 2). The results followed a similar pattern for quality of life (Figure 2) as for angina frequency; it is among those without CKD where the percentage of patients with a clinically significant increase was greater in the group treated with PCI plus OMT versus OMT alone (Figure 2). With 2 exceptions, there were no significant differences between PCI plus OMT and OMT for either patients with or without CKD at any follow-up time for treatment satisfaction. For angina stability, which describes acute changes in angina, the 1-month angina stability score in patients with CKD showed a greater percentage of patients treated with PCI plus OMT with clinically significant improvement. At 36 months, for treatment satisfaction in the non-CKD group, there was a greater percentage of OMT patients with clinically significant improvement (Figure 2).

Figure 2.

Figure 2

Percentage of patients with clinically significant increases in SAQ domain scores by CKD status, treatment arm, and follow-up. Chi-square tests are used to compare the percentage of patients with clinically significant improvement between the 2 treatment arms.

The longitudinal analyses of clinically significant improvement indicated that CKD status was not related to change in percentage of clinically significant improvement over follow-up time for patients treated with either PCI plus OMT or OMT alone for any of the SAQ domains (p >0.08 for all interactions treatment status × CKD status).

Discussion

The high-risk cohort of patients with CKD enrolled in the COURAGE trial had relief of angina after initiation of treatment and derived clinically significant benefits from pharmacologic antianginal therapies and PCI to a similar extent as did patients without CKD with respect to quality of life, angina frequency, and angina stability SAQ domains. All patients were highly satisfied with their treatment even at baseline with mean scores >85. For physical limitation, patients with CKD had consistently lower mean scores than patients without CKD throughout follow-up. However, when analyzed as the rate of change in the percentage of patients with clinically significant increase from baseline, there were no statistically significant differences associated with CKD status for any of the domains. The percentage of patients with CKD with significant short-term improvement was greater for the group randomized to PCI plus OMT for physical limitation and quality of life at 1, 3, and 6 months, but the rate of change from 1 to 36 months was greater for patients treated with OMT alone. This is probably related to the fact that a larger percentage of patients treated with PCI plus OMT have immediate clinical improvement as was seen in the overall COURAGE study, which was attenuated over time. Likewise, the rate of change from baseline to 36 months in the percentage of patients with a clinically significant improvement in treatment satisfaction was greater in those treated with OMT. Improvement within the first 6 months was more common in patients treated with PCI and OMT than with OMT alone. Thus, consistent with the overall findings of the COURAGE trial,4,5 patients with and without CKD had early benefit from PCI compared with OMT for symptomatic improvement, but these differences were no longer evident at 3 years.

There are several potential limitations of this study. This is a post hoc subgroup analysis, and as in any subgroup analysis, the lack of adequate sample size may influence both data interpretation and conclusions. Clinicians may have been reluctant to enroll patients with CKD and poor health status in the COURAGE trial, resulting in minimal differences in baseline SAQ scores between patients with and without CKD. We had a very small number of patients with advanced kidney disease, including patients on dialysis, enrolled in the COURAGE trial.1 Nevertheless, our study provides important information on health status in a widely acknowledged high-risk cohort of patients with stable ischemic heart disease in whom treatment bias has been eliminated by random allocation of revascularization therapy.

Our present findings should encourage clinicians to treat angina intensively in patients with CKD using all appropriate guideline-based therapies as their health status benefits from treatment are comparable with those without CKD. In addition, initiation and continuation of therapies with survival benefits including statins and angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, as appropriate, is essential in patients with CKD. Further randomized trials comparing revascularization to OMT are needed in the extremely high-risk population of patients with CAD and severe CKD to determine optimal therapeutic strategies that provide both effective relief of angina and improved survival.

Acknowledgments

The trial was sponsored and oversight was provided by the Cooperative Studies Program of the US Department of Veterans Affairs Office of Research and Development (Washington, DC). Additional funding was provided by the Canadian Institutes of Health Research. Supplemental corporate support consisted of unrestricted research grants payable to the Department of Veterans Affairs.

Footnotes

Disclosures

The authors have no conflicts of interest to disclose.

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