Literature DB >> 27733347

Changes in Medical Therapy and Lifestyle After Anatomical or Functional Testing for Coronary Artery Disease.

Joseph A Ladapo1, Udo Hoffmann2, Kerry L Lee3, Adrian Coles3, Megan Huang3, Daniel B Mark3, Rowena J Dolor3, Robert A Pelberg4, Matthew Budoff5, Gardar Sigurdsson6, Harry W Severance7, Pamela S Douglas3.   

Abstract

BACKGROUND: Diagnostic testing in the care of patients newly presenting with symptoms suggestive of coronary artery disease may influence risk factor management, independent of test type or test results. However, little is known about changes in medications and lifestyle after anatomical or functional testing. METHODS AND
RESULTS: We examined what factors influenced preventive medical therapy and lifestyle practices at 60 days among 10 003 symptomatic patients (53% women; mean age 61 years) randomly assigned to anatomical testing with coronary computed tomographic angiography or functional testing (NCT01174550). We also assessed the association of preventive changes with major cardiovascular events. There were no differences in medications/lifestyle at baseline. At 60 days, relative to baseline, the computed tomographic angiography strategy was associated with a higher proportion of patients newly initiating aspirin (11.8% versus 7.8%), statins (12.7% versus 6.2%), and β-blockers (8.1% versus 5.3%), compared to functional testing (P<0.0001 for each). No significant differences between computed tomographic angiography and functional testing strategies were observed for initiation of exercise, quitting smoking, or weight loss in overweight/obese patients, though overall prevalence of healthy eating was higher after computed tomographic angiography (P=0.002) while obese/overweight status was lower (P=0.040). Positive initial test results and revascularization demonstrated stronger associations with preventive medications and lifestyle than test type. Medication initiation was not associated with fewer cardiovascular events.
CONCLUSIONS: Positive initial test results and revascularization are primary drivers of changes in preventive medical and lifestyle practices, with test type making secondary contributions. However, substantial opportunities exist to further reduce cardiovascular risk. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT01174550.
© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Entities:  

Keywords:  angina; coronary disease; diagnosis; prevention

Mesh:

Substances:

Year:  2016        PMID: 27733347      PMCID: PMC5121482          DOI: 10.1161/JAHA.116.003807

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

Diagnostic testing in the care of patients newly presenting with symptoms suggestive of coronary artery disease (CAD) is common, with ≈4 million of these patients referred for further evaluation each year in the United States.1 Because these patients often have cardiovascular risk factors,2 including hypertension, dyslipidemia, smoking, and sedentary lifestyle, an evaluation for suspected CAD may influence patient and physician decision making and induce changes in modifiable risk factors, independent of test results. However, little is known about changes in medical management and lifestyle after diagnostic testing for suspected CAD,3, 4, 5, 6, 7, 8, 9 and few studies have examined how these changes may relate to the initial diagnostic test strategy.4, 5, 6, 9, 10 Furthermore, variation in patterns of preventive care after testing in patients with different demographic or clinical characteristics or physicians of different specialties has not been well examined. Previous studies of the relationship between diagnostic testing for CAD and changes in medical management have reached conflicting conclusions, and no studies, to the best of our knowledge, have reported outcomes related to lifestyle modification, including smoking, dietary choices, and exercise.5, 6, 9, 10 There is also little evidence from randomized trials, with the notable exception of a recent analysis on preventive medications—but not preventive lifestyle choices—from SCOT‐HEART (Scottish COmputed Tomography of the HEART).3 In the current study, we evaluated medical management and lifestyle modification after anatomical (computed tomographic angiography [CTA]) or functional testing for CAD. We hypothesized that test choice and initial test results would independently influence the use of preventive medications and lifestyle practices at 60‐day follow‐up.

Methods

Study Design

The methods used in the PROMISE trial (PROspective Multicenter Imaging Study for Evaluation of chest pain) have been described previously.11, 12 The study protocol was approved by the local or central institutional review board at each coordinating center and at each enrolling site in North America. The study sites (193 total) included those with expertise in the fields of cardiology, primary care, radiology, and anesthesia and represented the community and academia. Sponsorship of the trial was provided by the National Heart, Lung, and Blood Institute. The authors oversaw study coordination and data management. We enrolled symptomatic outpatients without diagnosed CAD whose physicians believed that nonurgent, noninvasive cardiovascular testing was necessary for the evaluation of suspected CAD. After providing written informed consent, 10 003 eligible patients were randomly assigned to either anatomical testing with CTA or functional testing with exercise electrocardiography, nuclear stress, or stress echocardiography. The randomization was stratified by study site and according to the choice of the intended functional test if the patient was assigned to that study group, as indicated before randomization.12 That is, the preferred functional test modality was chosen prior to randomization even though the subject might not be randomized to a functional test. Tests were performed and interpreted by local physicians who made all subsequent clinical decisions. Patients were enrolled between July 27, 2010 and September 19, 2013, and followed for a minimum of 1 year.

Preventive Medications and Lifestyle Practices

Follow‐up of participants was performed in site clinical visits or through a telephone call at 60 (±14) days to assess cardiovascular outcomes, collect test results and images, record complications, and collect information about preventive medication use and lifestyle practices.13, 14 Specifically, we collected medication information about aspirin, statin, β‐blocker, and angiotensin‐converting enzyme inhibitor or angiotensin receptor blocker use (ACEi/ARB), among other medications; lifestyle information included adherence to a heart‐healthy diet, regular exercise, smoking, and overweight/obese status, as determined by a body mass index equal to or exceeding 25, with obesity defined as defined as a body mass index >30. To assess healthy diet, we asked, “Are you following a specific diet to promote heart health?” (yes or no). To assess activity level, we asked, “During the past month, did you participate in any physical activities or exercise regularly (1 or more times per week)? Examples include: running, aerobics, golf, gardening, walking, etc” (yes or no). To assess smoking, we asked, “Have you smoked in the past 2 weeks?” (yes or no). All measures were assessed at baseline and at the 60‐day visit, with the exception of healthy diet, which was measured only at 60 days.

Initial Test Results

Initial test results were considered positive, negative, indeterminate, or incomplete using a classification system that has been previously described and is available elsewhere.11 Briefly, CTA was positive if there was a ≥70% stenosis in the left anterior descending, or left circumflex, or right coronary artery, or a ≥50% stenosis in the left main coronary artery. Stress nuclear imaging was positive if there was a reversible perfusion defect (inducible ischemia) or mixed defect (infarct and ischemia) during stress in at least 1 territory, negative if perfusion was normal or only had fixed defects, and indeterminate if test results were uninterpretable. Stress echocardiography was positive if there was a reversible wall motion abnormality or mixed abnormality during stress in at least 1 territory (ischemia), negative if wall motion was normal or only had fixed defects without evidence of ischemia, and indeterminate if test results were uninterpretable. Exercise electrocardiography was positive if there were significant ST‐segment changes consistent with ischemia.

Clinical Outcomes

The primary clinical outcome was a composite of major cardiovascular events that included death from any cause, myocardial infarction, hospitalization for unstable angina, and major complication of cardiovascular procedures or diagnostic testing (ie, stroke, major bleeding, renal failure, or anaphylaxis) that occurred within 72 hours, over the period from the 60‐day visit to the last follow‐up time point. We separately examined major cardiovascular event rates among patients who were not taking aspirin at baseline, not taking statins at baseline, not taking a β‐blocker at baseline, and not taking an ACEi/ARB at baseline, since these were the only patients who could newly initiate a medication.

Statistical Analysis

Primary analyses were based on patient status at baseline and preventive medical therapy and lifestyle practices at the 60‐day follow‐up. P values <0.05 were considered significant. Comparisons of group characteristics between the testing strategies at baseline were evaluated using a t test for continuous variables or χ2 test for categorical variables. The χ2 test was used to examine comparative changes from baseline to 60 days between anatomical and functional testing strategies, based on the proportions of patients who had no change or had newly initiated or newly discontinued a medication or lifestyle practice. McNemar's test was used to compare within‐group changes from baseline to follow‐up in medication use and lifestyle practices.15, 16 The χ2 test was also used to examine comparative changes from baseline to 60 days between anatomical and functional testing strategies in the proportion of patients who (1) initiated a preventive medication or lifestyle practice by the 60‐day visit, but were not initially using the medication or engaging in the lifestyle practice at baseline; (2) discontinued a preventive medication or lifestyle practice by the 60‐day visit, but were initially using the medication or engaging in the lifestyle practice at baseline; (3) continued a preventive medication or lifestyle practice by the 60‐day visit, and were initially using the medication or engaging in the lifestyle practice at baseline; and (4) never used a preventive medication or lifestyle practice by the 60‐day visit, and were initially not using the medication or engaging in the lifestyle practice at baseline. We estimated 95% CIs for these proportions. We constructed multivariable logistic regression models to assess the association of testing strategy with overall preventive medication and reported lifestyle practices at the 60‐day visit, while controlling for patients’ demographic and clinical characteristics and physician specialty. A full listing of the adjustment variables included in the regression models is available in Tables S1 and S2. These models included the atherosclerotic cardiovascular disease score.17 We did not adjust for multiple testing.18 In additional analyses, including analyses of differences in preventive care, we adjusted for the initial test result along with the presence of early revascularization before the 60‐day visit. Results for each variable are presented as an odds ratio with 95% CIs. Secondary analyses using Cox models examined the association between initiation of a preventive medication by the 60‐day visit and adverse cardiovascular events during follow‐up. Separate models examined patients who were not taking an aspirin, statin, β‐blocker, or ACEi/ARB at baseline. Patients who experienced an adverse cardiovascular event prior to their 60‐day visit, patients who were not tested as randomized, and patients with uninterpretable noninvasive test results were excluded from these analyses. These models also adjusted for noninvasive test type, noninvasive test results, revascularization prior to or on the 60‐day visit, time from randomization to 60‐day visit, baseline use of other medications, and baseline atherosclerotic cardiovascular disease risk score. Statistical analyses were performed using SAS software, version 9.2 or higher (SAS Institute, Cary, NC).

Role of the Funding Source

The PROMISE trial was funded by National Heart, Lung, and Blood Institute grants R01 HL098237, R01 HL098236, R01 HL098305, and R01 HL098235. The funding source had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. The views expressed in this article do not necessarily represent the official views of the National Heart, Lung, and Blood Institute.

Results

Baseline Characteristics and Primary Outcome

Baseline demographics, clinical characteristics, medication use, and lifestyle habits were similar in the 4996 patients assigned to the CTA strategy and the 5007 patients assigned to functional testing, with the exception of the lifetime prevalence of depression (Table S3).11 The mean age of patients was 60.8±8.3 years, 52.7% were women, 21.4% of the patients had diabetes, 65.0% had hypertension, 51.1% were past or current tobacco users, 67.7% had dyslipidemia, and 32.1% had a family history of premature CAD. A CAD risk equivalent (diabetes, peripheral vascular disease, or cerebrovascular disease) was present in 25.3% of patients. In the CTA strategy group, 4686 (93.8%) had CTA as assigned, and in the functional testing group, 4692 (93.7%) had a stress test as assigned. As previously reported,11 at a median follow‐up period of 25 months, we found no significant difference in the composite primary end point of death, myocardial infarction, hospitalization for unstable angina, or major procedural complication (3.3% in the CTA group, 3.0% in the functional testing group; hazard ratio, 1.04; 95% CI, 0.83–1.29; P=0.75). In the CTA group, the distribution of positive, negative, indeterminate, and incomplete initial test results was 11.1%, 82.0%, 3.8%, and 0.1%, respectively. In the functional testing group, the distribution of positive, negative, indeterminate, and incomplete initial test results was 11.6%, 82.6%, 0.8%, and 0.0%, respectively.

Changes in Medical Therapy and Reported Lifestyle Practices From Baseline to 60‐Day Visit

The median time from randomization to the 60‐day visit was 64 days (interquartile range, 58–71). Overall changes in medication and lifestyle practices from baseline to the 60‐day visit are shown in Figure 1. Within the CTA and functional‐testing arms, there were significant improvements in preventive medications and reported lifestyle practices from baseline to follow‐up (P<0.05 for ACEi/ARB use within both arms; P=0.002 for overweight/obese status within the functional arm; P<0.0001 for all other measures). Between the CTA and functional testing arms, the CTA strategy was associated with a higher proportion of patients newly initiating aspirin (11.8% versus 7.8%), statins (12.7% versus 6.2%), and β‐blockers (8.1% versus 5.3%), compared to functional testing (P<0.0001 for each) (Table 1). These proportions were also compared after separately considering patients who did or did not use a medication or adhere to a lifestyle practice at baseline (Tables 2 and 3). No significant differences between CTA and functional testing strategies were observed for initiation of exercise (24.9% versus 24.4%), quitting smoking (3.6% versus 3.2%), or weight loss in overweight/obese patients (2.8% versus 2.3%).
Figure 1

Changes in preventive medical therapy and lifestyle practices from baseline to 60‐day visit (unadjusted). ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography.

Table 1

Changes in Medical Therapy and Lifestyle by Testing Strategy at 60‐Day Visit, Compared to Baseline

FactorStrategyInitiation (%)Discontinuation (%)Continuing (%)Never (%) P‐Valuea P‐Valueb
Medications
AspirinCTA11.82.743.142.4<0.0001<0.0001
Functional7.82.942.147.2<0.0001
StatinCTA12.72.244.640.5<0.0001<0.0001
Functional6.22.143.747.9<0.0001
β‐BlockerCTA8.12.322.966.7<0.0001<0.0001
Functional5.31.923.869.0<0.0001
ACEi or ARBCTA3.62.541.852.00.00310.8552
Functional3.32.541.852.40.0207
Lifestyle
ExerciseCTA24.910.141.923.1<0.00010.6321
Functional24.49.442.323.8<0.0001
SmokingCTA1.33.614.081.2<0.00010.7469
Functional1.43.214.181.4<0.0001
Overweight/obesec CTA1.02.880.715.5<0.00010.0879
Functional1.42.380.116.20.0020

For lifestyle practices, initiation refers to newly exercising, smoking, or becoming overweight/obese; discontinuation refers to stopping exercise, quitting smoking, or no longer being overweight/obese. Diet is not reported because it was not measured at baseline. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography.

Within‐group P‐value from McNemar's test for marginal homogeneity (ie, whether the proportion of patients on a given medication or with a particular lifestyle at follow‐up differed from the proportion at baseline).

Between‐groups P‐value from χ2 test for independence.

Initiation implies that patient's body mass index (BMI) was ≥25. Discontinuation implies that patient's BMI was <25.

Table 2

Changes in Medical Therapy and Lifestyle by Testing Strategy at 60‐Day Visit, Compared to Baseline, Among Patients Who Used/Adhered to the Medication or Lifestyle Practice at Baseline

Factor/ChangeCTA Proportion (95% CI)Functional Proportion (95% CI) P‐Value
Medications
Aspirin0.492
Discontinued5.98 (4.93–7.03)6.51 (5.40–7.62)
Continuing94.02 (92.97–95.07)93.49 (92.38–94.60)
Statin0.980
Discontinued4.65 (3.73–5.57)4.63 (3.69–5.57)
Continuing95.35 (94.43–96.27)95.37 (94.43–96.31)
β‐Blocker0.136
Discontinued9.12 (7.40–10.84)7.35 (5.79–8.91)
Continuing90.88 (89.16–92.60)92.65 (91.09–94.21)
ACEi or ARB0.846
Discontinued5.70 (4.66–6.75)5.56 (4.51–6.60)
Continuing94.30 (93.25–95.34)94.44 (93.40–95.49)
Lifestyle
Exercise0.115
Discontinued19.82 (18.17–21.47)17.97 (16.36–19.58)
Continuing80.18 (78.53–81.83)82.03 (80.42–83.64)
Smoking0.406
Discontinued19.60 (16.75–22.45)17.91 (15.12–20.70)
Continuing80.40 (77.55–83.25)82.09 (79.30–84.88)
Overweight/obese0.169
Discontinued3.41 (2.81–4.01)2.84 (2.29–3.39)
Continuing96.59 (95.99–97.19)97.16 (96.61–97.71)

For lifestyle practices, discontinuation refers to stopping exercise, quitting smoking, or no longer being overweight/obese. Diet is not reported because it was not measured at baseline. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography.

Table 3

Changes in Medical Therapy and Lifestyle by Testing Strategy at 60‐Day Visit, Compared to Baseline, Among Patients Who Did Not Use/Adhere to the Medication or Lifestyle Practice at Baseline

Factor/ChangeCTA Proportion (95% CI)Functional Proportion (95% CI) P‐Value
Medications
Aspirin<0.001
Never78.28 (76.60–79.96)85.88 (84.45–87.30)
Initiated21.72 (20.04–23.40)14.12 (12.70–15.55)
Statin<0.001
Never76.20 (74.45–77.95)88.54 (87.22–89.85)
Initiated23.80 (22.05–25.55)11.46 (10.15–12.78)
β‐Blocker<0.001
Never89.12 (88.04–90.20)92.81 (91.90–93.72)
Initiated10.88 (9.80–11.96)7.19 (6.28–8.10)
ACEi or ARB0.392
Never93.45 (92.45–94.44)94.05 (93.09–95.01)
Initiated6.55 (5.56–7.55)5.95 (4.99–6.91)
Lifestyle
Exercise0.723
Never48.72 (46.57–50.87)49.27 (47.11–51.43)
Initiated51.28 (49.13–53.43)50.73 (48.57–52.89)
Smoking0.637
Never98.53 (98.13–98.92)98.39 (97.97–98.80)
Initiated1.47 (1.08–1.87)1.61 (1.20–2.03)
Overweight/obese0.084
Never93.95 (92.16–95.75)91.54 (89.49–93.59)
Initiated6.05 (4.25–7.84)8.46 (6.41–10.51)

For lifestyle practices, initiation refers to newly exercising, smoking, or becoming overweight/obese. Diet is not reported because it was not measured at baseline. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography.

Changes in preventive medical therapy and lifestyle practices from baseline to 60‐day visit (unadjusted). ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography. Changes in Medical Therapy and Lifestyle by Testing Strategy at 60‐Day Visit, Compared to Baseline For lifestyle practices, initiation refers to newly exercising, smoking, or becoming overweight/obese; discontinuation refers to stopping exercise, quitting smoking, or no longer being overweight/obese. Diet is not reported because it was not measured at baseline. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography. Within‐group P‐value from McNemar's test for marginal homogeneity (ie, whether the proportion of patients on a given medication or with a particular lifestyle at follow‐up differed from the proportion at baseline). Between‐groups P‐value from χ2 test for independence. Initiation implies that patient's body mass index (BMI) was ≥25. Discontinuation implies that patient's BMI was <25. Changes in Medical Therapy and Lifestyle by Testing Strategy at 60‐Day Visit, Compared to Baseline, Among Patients Who Used/Adhered to the Medication or Lifestyle Practice at Baseline For lifestyle practices, discontinuation refers to stopping exercise, quitting smoking, or no longer being overweight/obese. Diet is not reported because it was not measured at baseline. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography. Changes in Medical Therapy and Lifestyle by Testing Strategy at 60‐Day Visit, Compared to Baseline, Among Patients Who Did Not Use/Adhere to the Medication or Lifestyle Practice at Baseline For lifestyle practices, initiation refers to newly exercising, smoking, or becoming overweight/obese. Diet is not reported because it was not measured at baseline. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography. We also estimated the proportion of patients who (1) initiated a preventive medication or lifestyle practice by the 60‐day visit, but were not initially using the medication or engaging in the lifestyle practice at baseline; (2) discontinued a preventive medication or lifestyle practice by the 60‐day visit, but were initially using the medication or engaging in the lifestyle practice at baseline; (3) continued a preventive medication or lifestyle practice by the 60‐day visit, and were initially using the medication or engaging in the lifestyle practice at baseline; and (4) never used a preventive medication or lifestyle practice by the 60‐day visit, and were initially not using the medication or engaging in the lifestyle practice at baseline. The results are shown in Table 2 and 3.

Overall Use of Medication and Reported Lifestyle Practices at 60‐Day Visit

Compared to functional testing, an anatomical testing strategy was associated with greater use of aspirin, statins, and β‐blockers at the 60‐day visit (P<0.001 for all) (Figure 2). Anatomical testing was also associated with a higher overall prevalence of eating a healthy diet (P=0.002), and obese/overweight status was less prevalent (P=0.040). Regular exercise and smoking cessation increased similarly in both arms. Overall, 600 of 4996 patients (12.0%) in the CTA group and 403 of 5007 (8.1%) in the functional‐testing group underwent cardiac catheterization by their 60‐day visit, of whom 304 CTA patients (50.7%) and 154 functional‐testing patients (38.2%) underwent revascularization, respectively.
Figure 2

Adjusted odds ratios of preventive medical therapy and lifestyle practices at 60‐day visit, comparing anatomical testing (computed tomographic angiography) to functional testing (adjusted for patients’ demographic and clinical characteristics and physician specialty). Note: Odds ratios for smoking and overweight/obese status were inverted to represent beneficial outcomes (smoking abstinence and normal weight, respectively) and retain consistency with other beneficial measures in the figure. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker.

Adjusted odds ratios of preventive medical therapy and lifestyle practices at 60‐day visit, comparing anatomical testing (computed tomographic angiography) to functional testing (adjusted for patients’ demographic and clinical characteristics and physician specialty). Note: Odds ratios for smoking and overweight/obese status were inverted to represent beneficial outcomes (smoking abstinence and normal weight, respectively) and retain consistency with other beneficial measures in the figure. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker.

Effects of Test Results and Revascularization on Medications and Reported Lifestyle Practices

Positive initial test results and early revascularization were associated with higher aspirin, statin, and β‐blocker use at 60 days, compared with negative initial test results or no early revascularization (Table 4). Positive initial test results were also associated with a higher prevalence of eating a healthy diet, while early revascularization was associated with a higher prevalence of eating a healthy diet, exercising, and smoking cessation (Table 5). The effect sizes for these changes related to positive test results and early revascularization were generally larger than the effect size of anatomical versus functional testing. After adjusting for initial test strategy, initial test results, and early revascularization, benefits of CTA for aspirin use (P<0.001), statin use (P<0.001), healthy diet (P=0.012), and weight loss persisted (P=0.046) (Figure S1 and Tables S1 and S2). There was no interaction between test results and testing strategy for any changes in preventive therapies or lifestyle practices.
Table 4

Prevalence and Adjusted Odds Ratios of Medication Use at 60‐Day Visit, Accounting for Initial Test Results and Revascularization

FactorAspirinStatinβ‐BlockerACEi or ARB
Prevalence (%)Adjusted OR (95% CI) P‐ValuePrevalence (%)Adjusted OR (95% CI) P‐ValuePrevalence (%)Adjusted OR (95% CI) P‐ValuePrevalence (%)Adjusted OR (95% CI) P‐Value
Testing strategy
CTA54.81.43 (1.24–1.65)<0.00157.12.08 (1.78–2.43)<0.00130.91.17 (0.99–1.38)0.06444.81.01 (0.83–1.22)0.935
Functional49.749.628.944.6
Procedures
Revascularization prior to 60‐day visit89.79.27 (6.27–13.70)<0.00189.011.26 (7.62–16.64)<0.00164.95.66 (4.14–7.74)<0.00154.82.11 (1.33–3.35)0.002
Initial test results
Positive71.22.44 (1.95–3.05)<0.00170.72.28 (1.79–2.91)<0.00148.83.24 (2.56–4.11)<0.00149.31.21 (0.88–1.66)0.253
Negative49.450.626.843.8

The prevalence columns represent the prevalence of medication use at 60 days among patients with a baseline characteristic. For example, 54.8% of patients referred for CTA were prescribed aspirin by 60 days. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography; OR, odds ratio.

Table 5

Prevalence and Adjusted Odds Ratios of Healthy Lifestyle at 60‐Day Visit, Accounting for Initial Test Results and Revascularization

FactorHealthy DietExerciseSmokingOverweight/Obesea
Prevalence (%)Adjusted OR (95% CI) P‐ValuePrevalence (%)Adjusted OR (95% CI) P‐ValuePrevalence (%)Adjusted OR (95% CI) P‐ValuePrevalence (%)Adjusted OR (95% CI) P‐Value
Testing strategy
CTA57.01.12 (1.02–1.22)0.01264.80.96 (0.88–1.06)0.45214.90.94 (0.76–1.17)0.60677.30.79 (0.63–1.00)0.046
Functional53.864.715.077.3
Procedures
Revascularization prior to 60‐day visit76.02.34 (1.80–3.03)<0.00176.51.88 (1.43–2.47)<0.00112.60.26 (0.15–0.45)<0.00179.71.12 (0.61–2.07)0.713
Initial test results
Positive62.61.21 (1.04–1.41)0.01566.20.97 (0.82–1.14)0.68114.51.09 (0.75–1.58)0.65278.50.94 (0.63–1.40)0.749
Negative54.364.714.977.4

The prevalence columns represent the prevalence of lifestyle adoption at 60 days among patients with a baseline characteristic. For example, 57.0% of patients referred for CTA reported adopting a heart‐healthy diet by 60 days. CTA indicates computed tomographic angiography; OR, odds ratio.

Overweight/obese defined as body mass index ≥25.

Prevalence and Adjusted Odds Ratios of Medication Use at 60‐Day Visit, Accounting for Initial Test Results and Revascularization The prevalence columns represent the prevalence of medication use at 60 days among patients with a baseline characteristic. For example, 54.8% of patients referred for CTA were prescribed aspirin by 60 days. ACEi indicates angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CTA, computed tomographic angiography; OR, odds ratio. Prevalence and Adjusted Odds Ratios of Healthy Lifestyle at 60‐Day Visit, Accounting for Initial Test Results and Revascularization The prevalence columns represent the prevalence of lifestyle adoption at 60 days among patients with a baseline characteristic. For example, 57.0% of patients referred for CTA reported adopting a heart‐healthy diet by 60 days. CTA indicates computed tomographic angiography; OR, odds ratio. Overweight/obese defined as body mass index ≥25. While PROMISE's pragmatic design limits our ability to fully assess the appropriateness of preventive medication use, we found that aspirin and statin use at the 60‐day visit were more prevalent among patients with positive initial test results (P<0.001) and early revascularization (P<0.001), independent of initial baseline medication use and the initial testing strategy (Table S1). Similarly, statin use was also more prevalent among patients with a history of dyslipidemia (P<0.001) and those with an atherosclerotic cardiovascular disease >7.5% (P=0.006), while ACEi/ARB use was more prevalent among patients with hypertension (P<0.001) and diabetes (P<0.001).

Effects of Medication Initiation on Adverse Cardiovascular Events

Among patients not initially taking a preventive medication, newly initiating an aspirin, statin, β‐blocker, or ACEi/ARB was not associated with the rate of adverse cardiovascular events over a median follow‐up period of 25 months in adjusted models (Table S4). Because the point estimate of the hazard ratio for medication initiation exceeded unity for each of the medication regression models (except statins), it is possible that we were unable to fully adjust for baseline risk at 60 days. That is, patients at higher risk for adverse cardiovascular events may have been more likely to newly initiate preventive cardiovascular medications, and our models may be unable to fully account for this confounding.

Discussion

In this large randomized trial of diagnostic testing strategies for the evaluation of suspected CAD, we found that patients’ use of preventive medications and adoption of preventive lifestyle practices uniformly improved after testing, particularly in patients evaluated with anatomical testing or with positive initial test results or early revascularization. We did not find an association between initiation of a preventive medication and risk of adverse cardiovascular events within a median follow‐up of 25 months. Our findings highlight important similarities between anatomical and functional testing—both strategies identify substantial opportunities to improve preventive medical care and lifestyle practices among all patients, irrespective of the diagnostic strategy used. As reflected in the PROMISE trial population, patients newly evaluated for suspected heart disease have a high prevalence of risk factors for adverse cardiovascular events,2 including older age, hypertension, dyslipidemia, diabetes, and smoking, among other factors.14 While the overall prevalence of test abnormalities has been low in recent years,19 and was low in PROMISE, our study shows that changes in medical management—particularly aspirin and statin use—and changes in reported lifestyle practices may still occur, independent of test results. To the best of our knowledge, this is the first study to also show effects on healthy eating and weight loss among patients who are overweight or obese, although these effects were modest. Testing therefore may independently represent an opportunity to effectively improve the health of patients. An area for future research is the extent to which diagnostic testing could be augmented to increase appropriate adoption of preventive medications and lifestyle practices. Our findings about the adoption of preventive medications after testing are similar to findings recently reported in the SCOT‐HEART trial.3 These authors attributed changes in preventive medications to changes in patients’ diagnoses after testing, but our adjusted analyses suggest that effects on prevention persist independent of test results and early revascularization. In their population, CTA was associated with a comparative increase in initiation of antiplatelet agents, statins, and ACEi/ARB, whereas we did not detect a difference in ACEi/ARB use; lifestyle changes were not reported. These authors also reported a comparative improvement in health outcomes after 50 days. There are several possible explanations for differences in our findings, including differing designs of our diagnostic testing strategies and methodological differences in our analyses. The reasons that CTA was associated with more preventive changes in medications and reported lifestyle, even after accounting for initial test results and early revascularization, are unclear. However, it is notable that the effect size for positive initial test results and early revascularization generally exceeded the effect size for CTA. Compared to functional testing, CTA provides physicians with different information, and physicians may interpret this information differently or respond differently to abnormalities seen on CTA. Patients’ interpretation of and response to test results may also differ. CTA also provides information about nonobstructive atherosclerosis and coronary artery calcification, which may influence physician behavior. Other studies have also reported similar findings.10 We did not specifically account for nonobstructive atherosclerosis for several reasons: PROMISE, as a pragmatic trial, was not designed to examine detailed predictors of preventive care changes beyond the overall categories of positive/negative test results; inclusion of nonobstructive atherosclerosis in our analyses was not prespecified; and specific predictors of preventive care changes would more appropriately be explored within each testing strategy separately rather than in a comparative analysis between the 2 strategies. In addition, detailed information about how physicians communicated test results to patients and how patients interpreted these results was not collected, nor were ordering physicians instructed on how to integrate test results into the care of their patients. Future research that dissects the anatomy of both physician and patient decision making in the setting of diagnostic testing for CAD could yield important insights—and potentially identify approaches to further improve preventive practices in this high‐risk patient population. While CTA was associated with greater adoption of preventive medications, we did not find that a CTA testing strategy improved cardiovascular outcomes. There are several possible explanations for this, including the short follow‐up period, low overall event rate, and small overall differences in preventive medication adoption between the CTA and functional testing groups. These findings, both individually and collectively, may have contributed to the absence of an overall difference in testing strategy effectiveness. Furthermore, we did not find that greater initiation of preventive medications reduced the risk of adverse cardiovascular events. Cost‐effectiveness of CTA and functional testing is also a concern, particularly given health policy concerns about diagnostic imaging.18 Several cost‐effectiveness analyses of diagnostic testing have been performed and have generally concluded that both tests yield good value.20, 21, 22, 23, 24, 25 However, these studies have not accounted for the potential independent effects of testing on preventive therapy and lifestyle changes. One study that simulated the PROMISE trial compared a CTA testing strategy to a functional testing strategy—including stress electrocardiography, nuclear stress, or stress echocardiography—and found that the cost‐effectiveness of CTA ranged from $26 200 per quality‐adjusted life‐year in men to $35 000 per quality‐adjusted life‐year in women.21 The effects of diagnostic testing on preventive medical care and lifestyle that we observed in PROMISE may further improve the favorability of these cost‐effectiveness ratios. Our study has limitations. We were unable to disaggregate the effects of physician preferences versus patient preferences on decision making about preventive medications and reported lifestyle practices. For the initiation and continuation of medications, our results are based on self‐report and limited to recall bias. We also did not measure adherence, so our inferences are limited to patient or clinician reports rather than confirmed use of medications or engagement in lifestyle modification. Related to this, adoption of and adherence to preventive medications and lifestyle practices may change in long‐term follow‐up, but our work does not inform these patterns. In future work, we will assess patterns of long‐term preventive care and lifestyle, including patterns of medication discontinuation and use of preventive medications in patients with and without CAD. Importantly, we did not characterize which medication changes were appropriate or guideline‐based. We also did not account for coronary angiography referral in the absence of revascularization. In addition, we performed multiple comparisons and our results should be interpreted in light of the risk of a Type I error. In conclusion, among patients with suspected CAD, anatomical testing, positive initial test results, and revascularization are primary drivers of changes in preventive medical and lifestyle practices, with test type making secondary contributions. Despite these changes, substantial opportunities exist to further reduce cardiovascular risk.

Data Access and Responsibility

Dr Coles had full access to all the data in the study and takes responsibility for the integrity of the data and accuracy of the data analysis.

Author Contributions

Study concept and design: Ladapo, Douglas. Acquisition, analysis, or interpretation of data: All authors. Drafting of the manuscript: All authors. Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: Coles, Huang, Lee. We are grateful for the contributions of the study participants and study team.

Sources of Funding

The PROMISE trial was funded by National Heart, Lung, and Blood Institute grants R01 HL098237, R01 HL098236, R01 HL098305, and R01 HL098235.

Disclosures

Dr Ladapo's work is supported by the National Heart, Lung, and Blood Institute (K23 HL116787) and he serves as a consultant to CardioDx, Inc. Dr Douglas reported receiving grant support from HeartFlow and serves on a data and safety monitoring board for General Electric Healthcare; Dr Hoffmann reported receiving grant support from Siemens Healthcare and HeartFlow; Dr Mark reported receiving personal fees from Medtronic, CardioDx, and St. Jude Medical and grant support from Eli Lilly, Bristol‐Myers Squibb, Gilead Sciences, AGA Medical, Merck, Oxygen Biotherapeutics, and AstraZeneca; and Dr Budoff reported receiving consulting fees from General Electric Healthcare. No other potential conflict of interest relevant to this article was reported. Table S1. Prevalence and Adjusted Odds Ratios of Medication Use at 60‐Day Visit, Accounting for Initial Test Results and Revascularization Table S2. Prevalence and Adjusted Odds Ratios of Healthy Lifestyle at 60‐Day Visit, Accounting for Initial Test Results and Revascularization Table S3. Demographics and Baseline Patient Characteristics by Testing Strategy Table S4. Association of Medication Initiation On or Prior to 60‐Day Visit and Clinical Outcomes in Patients Free of Clinical Events at 60‐Day Visit Figure S1. Adjusted odds ratios of preventive medical therapy and lifestyle practices at 60‐day visit, accounting for initial test results (positive vs negative) and revascularization, comparing CTA to functional testing. Click here for additional data file.
  24 in total

1.  Cost-effectiveness of coronary CT angiography versus myocardial perfusion SPECT for evaluation of patients with chest pain and no known coronary artery disease.

Authors:  James K Min; Amanda Gilmore; Matthew J Budoff; Daniel S Berman; Ken O'Day
Journal:  Radiology       Date:  2010-03       Impact factor: 11.105

2.  Treatment with drugs to lower blood pressure and blood cholesterol based on an individual's absolute cardiovascular risk.

Authors:  Rod Jackson; Carlene M M Lawes; Derrick A Bennett; Richard J Milne; Anthony Rodgers
Journal:  Lancet       Date:  2005 Jan 29-Feb 4       Impact factor: 79.321

3.  2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  David C Goff; Donald M Lloyd-Jones; Glen Bennett; Sean Coady; Ralph B D'Agostino; Raymond Gibbons; Philip Greenland; Daniel T Lackland; Daniel Levy; Christopher J O'Donnell; Jennifer G Robinson; J Sanford Schwartz; Susan T Shero; Sidney C Smith; Paul Sorlie; Neil J Stone; Peter W F Wilson; Harmon S Jordan; Lev Nevo; Janusz Wnek; Jeffrey L Anderson; Jonathan L Halperin; Nancy M Albert; Biykem Bozkurt; Ralph G Brindis; Lesley H Curtis; David DeMets; Judith S Hochman; Richard J Kovacs; E Magnus Ohman; Susan J Pressler; Frank W Sellke; Win-Kuang Shen; Sidney C Smith; Gordon F Tomaselli
Journal:  Circulation       Date:  2013-11-12       Impact factor: 29.690

4.  Coronary CT angiography versus myocardial perfusion imaging for near-term quality of life, cost and radiation exposure: a prospective multicenter randomized pilot trial.

Authors:  James K Min; Sunaina Koduru; Allison M Dunning; Jason H Cole; Jerome L Hines; Dawn Greenwell; Cathie Biga; Gayle Fanning; Troy M LaBounty; Millie Gomez; James M Horowitz; Martin Hadimitzsky; Jorg Hausleiter; Tracy Q Callister; Alan R Rosanski; Leslee J Shaw; Daniel S Berman; Fay Y Lin
Journal:  J Cardiovasc Comput Tomogr       Date:  2012-06-11

5.  CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicentre trial.

Authors: 
Journal:  Lancet       Date:  2015-03-15       Impact factor: 79.321

6.  Effect of screening for coronary artery disease using CT angiography on mortality and cardiac events in high-risk patients with diabetes: the FACTOR-64 randomized clinical trial.

Authors:  Joseph B Muhlestein; Donald L Lappé; Joao A C Lima; Boaz D Rosen; Heidi T May; Stacey Knight; David A Bluemke; Steven R Towner; Viet Le; Tami L Bair; Andrea L Vavere; Jeffrey L Anderson
Journal:  JAMA       Date:  2014-12-03       Impact factor: 56.272

7.  Coronary artery disease detected by coronary computed tomographic angiography is associated with intensification of preventive medical therapy and lower low-density lipoprotein cholesterol.

Authors:  Edward Hulten; Marcio Sommer Bittencourt; Avinainder Singh; Daniel O'Leary; Mitalee P Christman; Wafa Osmani; Suhny Abbara; Michael L Steigner; Quynh A Truong; Khurram Nasir; Frank F Rybicki; Josh Klein; Jon Hainer; Thomas J Brady; Udo Hoffmann; Brian B Ghoshhajra; Rory Hachamovitch; Marcelo F Di Carli; Ron Blankstein
Journal:  Circ Cardiovasc Imaging       Date:  2014-06-06       Impact factor: 7.792

8.  Cardiac outcomes after screening for asymptomatic coronary artery disease in patients with type 2 diabetes: the DIAD study: a randomized controlled trial.

Authors:  Lawrence H Young; Frans J Th Wackers; Deborah A Chyun; Janice A Davey; Eugene J Barrett; Raymond Taillefer; Gary V Heller; Ami E Iskandrian; Steven D Wittlin; Neil Filipchuk; Robert E Ratner; Silvio E Inzucchi
Journal:  JAMA       Date:  2009-04-15       Impact factor: 56.272

9.  Physician decision making and trends in the use of cardiac stress testing in the United States: an analysis of repeated cross-sectional data.

Authors:  Joseph A Ladapo; Saul Blecker; Pamela S Douglas
Journal:  Ann Intern Med       Date:  2014-10-07       Impact factor: 25.391

10.  Costs and clinical outcomes in individuals without known coronary artery disease undergoing coronary computed tomographic angiography from an analysis of Medicare category III transaction codes.

Authors:  James K Min; Leslee J Shaw; Daniel S Berman; Amanda Gilmore; Ning Kang
Journal:  Am J Cardiol       Date:  2008-06-17       Impact factor: 2.778

View more
  10 in total

Review 1.  Comparison of mid- to long-term clinical outcomes between anatomical testing and usual care in patients with suspected coronary artery disease: A meta-analysis of randomized trials.

Authors:  In-Chang Hwang; Sol Ji Choi; Ji Eun Choi; Eun-Bi Ko; Jae Kyung Suh; Insun Choi; Hyun-Jae Kang; Yong-Jin Kim; Joo Youn Kim
Journal:  Clin Cardiol       Date:  2017-09-15       Impact factor: 2.882

2.  Prognostic Value of Coronary Artery Calcium in the PROMISE Study (Prospective Multicenter Imaging Study for Evaluation of Chest Pain).

Authors:  Matthew J Budoff; Thomas Mayrhofer; Maros Ferencik; Daniel Bittner; Kerry L Lee; Michael T Lu; Adrian Coles; James Jang; Mayil Krishnam; Pamela S Douglas; Udo Hoffmann
Journal:  Circulation       Date:  2017-08-28       Impact factor: 29.690

3.  Preventive Management of Nonobstructive CAD After Coronary CT Angiography in the Emergency Department.

Authors:  Michael C Honigberg; Bradley S Lander; Vinit Baliyan; Maeve Jones-O'Connor; Emma W Healy; Jan-Erik Scholtz; John T Nagurney; Udo Hoffmann; Brian B Ghoshhajra; Pradeep Natarajan
Journal:  JACC Cardiovasc Imaging       Date:  2019-07-17

4.  Quantifying Sex Differences in Cardiovascular Care Among Patients Evaluated for Suspected Ischemic Heart Disease.

Authors:  Joseph A Ladapo; John M Pfeifer; James M Pitcavage; Brent A Williams; Alana A Choy-Shan
Journal:  J Womens Health (Larchmt)       Date:  2018-12-13       Impact factor: 2.681

5.  Plant-based diet index and erectile dysfunction in the Health Professionals Follow-Up Study.

Authors:  Heiko Yang; Benjamin N Breyer; Eric B Rimm; Edward Giovannucci; Stacy Loeb; Stacey A Kenfield; Scott R Bauer
Journal:  BJU Int       Date:  2022-06-09       Impact factor: 5.969

6.  Prognostic Value of Coronary CTA in Stable Chest Pain: CAD-RADS, CAC, and Cardiovascular Events in PROMISE.

Authors:  Daniel O Bittner; Thomas Mayrhofer; Matt Budoff; Balint Szilveszter; Borek Foldyna; Travis R Hallett; Alexander Ivanov; Sumbal Janjua; Nandini M Meyersohn; Pedro V Staziaki; Stephan Achenbach; Maros Ferencik; Pamela S Douglas; Udo Hoffmann; Michael T Lu
Journal:  JACC Cardiovasc Imaging       Date:  2019-11-13

7.  The prospective randomized trial of the optimal evaluation of cardiac symptoms and revascularization: Rationale and design of the PRECISE trial.

Authors:  Michael G Nanna; Sreekanth Vemulapalli; Christopher B Fordyce; Daniel B Mark; Manesh R Patel; Hussein R Al-Khalidi; Michelle Kelsey; Beth Martinez; Eric Yow; Sarah Mullen; Gregg W Stone; Ori Ben-Yehuda; James E Udelson; Campbell Rogers; Pamela S Douglas
Journal:  Am Heart J       Date:  2021-12-23       Impact factor: 4.749

8.  Ten-year association of coronary artery calcium with atherosclerotic cardiovascular disease (ASCVD) events: the multi-ethnic study of atherosclerosis (MESA).

Authors:  Matthew J Budoff; Rebekah Young; Gregory Burke; J Jeffrey Carr; Robert C Detrano; Aaron R Folsom; Richard Kronmal; Joao A C Lima; Kiang J Liu; Robyn L McClelland; Erin Michos; Wendy S Post; Steven Shea; Karol E Watson; Nathan D Wong
Journal:  Eur Heart J       Date:  2018-07-01       Impact factor: 35.855

9.  Association of Diet With Erectile Dysfunction Among Men in the Health Professionals Follow-up Study.

Authors:  Scott R Bauer; Benjamin N Breyer; Meir J Stampfer; Eric B Rimm; Edward L Giovannucci; Stacey A Kenfield
Journal:  JAMA Netw Open       Date:  2020-11-02

10.  Quantifying sociodemographic and income disparities in medical therapy and lifestyle among symptomatic patients with suspected coronary artery disease: a cross-sectional study in North America.

Authors:  Joseph A Ladapo; Adrian Coles; Rowena J Dolor; Daniel B Mark; Lawton Cooper; Kerry L Lee; Jonathan Goldberg; Michael D Shapiro; Udo Hoffmann; Pamela S Douglas
Journal:  BMJ Open       Date:  2017-09-29       Impact factor: 2.692

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.