Literature DB >> 26339167

Prognostic Value of Renal Function for Cardiac Events in Patients Without Significant Stenosis on Coronary Computed Tomography Angiography.

Hack-Lyoung Kim1, Yong-Jin Kim2, Yeonyee E Yoon3, Seung-Pyo Lee2, Hyung-Kwan Kim2, Goo-Yeong Cho3, Joo-Hee Zo1, Dong-Ju Choi3, Dae-Won Sohn2.   

Abstract

This study was conducted to determine clinical parameters predicting future major adverse cardiovascular events (MACEs) in patients without significant stenosis on coronary computed tomographic angiography (CCTA). A total of 625 patients with suspected coronary artery disease (CAD) who underwent CCTA that revealed insignificant (< 50%) CAD was reviewed in three cardiac centers. The MACEs including cardiac death, non-fatal myocardial infarction (MI), unstable angina and late (> 90 days after CCTA) revascularization were assessed. During the mean follow-up period of 819 ± 529 days (median 837 days), there were 28 cases of MACEs (4.5%). In multivariable Cox regression analysis, independent predictors for MACEs were male sex (hazard ratio [HR], 2.40; 95% confidence interval [CI], 1.01-5.69; P = 0.046) and low estimated creatinine clearance (eCCr) (< 60 mL/min/1.73 m(2)) (HR, 3.07; 95% CI, 1.22-7.74; P = 0.017). Low eCCr was the only independent predictor for hard events including cardiac death and MI (HR, 17.6, 95% CI, 1.44-215.7; P = 0.025). In conclusion, renal function is an independent predictor for cardiovascular events among patients without significant CAD by CCTA. Careful monitoring and preventive strategy are warranted in patients with impaired renal function even without significant CAD.

Entities:  

Keywords:  Coronary Artery Disease; Creatinine Clearance; Multidetector Computed Tomography; Prognosis

Mesh:

Year:  2015        PMID: 26339167      PMCID: PMC4553674          DOI: 10.3346/jkms.2015.30.9.1273

Source DB:  PubMed          Journal:  J Korean Med Sci        ISSN: 1011-8934            Impact factor:   2.153


INTRODUCTION

Coronary computed tomography angiography (CCTA) is an emerging technique that allows high diagnostic accuracy for the detection of coronary artery disease (CAD) and high negative predictive value for the exclusion of CAD (123). In addition, negative result in CCTA provides reassuring prognostic information. No obstructive lesion in CCTA has been shown to be associated with very low adverse event rates (456). Recent study with a large cohort of 23,854 patients demonstrated that annualized mortality was 0.22% in subjects without evident CAD by CCTA (4). However, there have been limited studies focusing on clinical outcomes of subjects without obstructive CAD by CCTA. Accordingly, prognostic factors determining future events in this population remain unclear. This study was conducted to assess the clinical outcomes and parameters determining the cardiovascular events in subjects without obstructive CAD on CCTA.

MATERIALS AND METHODS

Study subjects

Retrospective analysis was performed with data from three different CCTA registries that have been launched to assess clinical utility of CCTA involving three cardiac centers in Korea (Seoul National University Hospital, Seoul; Seoul National University Bundang Hospital, Seongnam; and Boramae Medical Center, Seoul). Between November 2004 and November 2010, all study patients underwent CCTA because they were suspected of having CAD. Patients who had at least one of following criteria were excluded: 1) previous myocardial infarction (MI) and/or coronary revascularization, 2) inadequate image quality, and 3) insufficient clinical information for the study analysis. After exclusion, a total of 1,857 patients remained. Among them, 454 (24.4%), 171 (9.2%), and 1,232 (66.3%) had no (0% stenosis), non-obstructive (1%-49% stenosis) and obstructive (≥ 50% stenosis) CAD, respectively. In this study, a total of 625 with no or nonobstructive CAD by CCTA was analyzed. Information on baseline clinical characteristics, including cardiovascular risk factors and type of symptoms, was obtained by reviewing patients' medical records. Hypertension was defined as documented history of high blood pressure or use of anti-hypertensive medications. Diabetes mellitus was defined by diagnosis of Diabetes mellitus made previously by a physician or use oral hypoglycemic agents or insulin. Dyslipidemia was defined as known but untreated dyslipidemia or current treatment with lipid lowering agents (4). The pretest probability of CAD was determined by age, sex and the nature of chest pain during initial presentation (7). The pretest probabilities were classified as low (<10%), intermediate (10%-90%) and high (>90%). Chest pain was classified as typical, atypical and non-cardiac. Typical chest pain was defined as chest pain that was 1) substernal, 2) provoked by exertion or emotional stress, and 3) relieved by rest and/or nitroglycerin. Chest pain was classified as atypical if two of these features were present, and non-cardiac if one or none of these features were present (8). Renal function was estimated by estimated creatinine clearance (eCCr), which was calculated using the Cockcroft-Gault equation: eCCr (mL/min/1.73 m2)=(140-age)×weight (kg)/serum creatinine (mg/dL)/72×(0.85 for females)×1.73 m2/body surface area (BSA), and BSA calculated as follows: BSA = weight (kg)0.425 ×height (cm)0.725×0.007184 (9).

CCTA protocols

All CCTAs were obtained using 16-slice (18.4%) or 64-slice (81.6%) CT scanners (Somatom Definition; Siemens Medical Solutions, Forchheim, Germany and Brilliance 64; Philips, Best, the Netherlands). Details of CT scan protocol have been described in previous studies (1011). Before CCTA, all patients with an average heart rate of >65 beats/min received oral metoprolol 50-100 mg in the absence of contraindications, and were given sublingual nitroglycerin 0.2-0.6 mg immediately before scanning. During image acquisition, 60-80 mL of contrast was injected, followed by a saline flush. Helical scan data was obtained using the retrospective ECG-gating protocol. Image acquisition was prescribed to include the coronary arteries, left ventricle and proximal ascending aorta. All CCTA results were transferred to an external three dimensional workstation, and analyzed independently by two experienced radiologists. Coronary atherosclerotic lesions were classified by severity of luminal stenosis, graded as no CAD (0% luminal stenosis) and non-obstructive CAD (1%-49% stenosis) and obstructive CAD (≥50% stenosis). Patient-based analysis was performed.

Clinical events

The primary clinical endpoint was time to composite events consisting of cardiac death, non-fatal MI, unstable angina and late (≥90 days after CCTA) revascularization. Secondary clinical endpoint was time to composite of hard cardiac events consisting of cardiac death and non-fatal MI. Patients with stable clinical features undergoing an early elective revascularization within 90 days after CCTA were excluded from survival analysis (1213). Patient follow-up data were gathered by two observers blinded to the results of CCTA using hospital records or standardized telephone interviews for patients with a follow-up loss of more than recent six months. If a patient could not be reached even by a phone, information on death was obtained from the Korean Ministry of Public Administration and Security. Cause of death was identified. Cardiac death was defined as death in the setting of MI, ventricular arrhythmia, decompensated heart failure or cardiogenic shock. Sudden unexplained death was also considered as cardiac death. Noncardiac death was death not related to cardiac disease. MI was defined based on the following criteria: typical chest pain, elevated cardiac enzyme levels, and typical changes in electrocardiogram (ECG) (14). Unstable angina was defined as acute chest pain regardless of the presence of ECG abnormalities, and negative cardiac enzyme levels (14). The first event was considered as the event of the patient. When two or more events were recorded at the same day, the most serious event was considered as the event of the patient in the following order: cardiac death, non-fatal MI, unstable angina and revascularization.

Statistical analysis

Categorical variables are presented as frequencies with percentages and continuous variables are presented as mean±standard deviation. Categorical variables are evaluated using the chi-square test and continuous variables are evaluated using a Student's t-test. Cox proportional hazards analysis was used to assess predictors of clinical events. Age, sex, body mass index (BMI), smoking status, diabetes mellitus and hypertension considered as confounders should be adjusted. The event rates according to the eCCr, categorized as ≥90 mL/min/1.73 m2, 60-89 mL/min/1.73 m2 and <60 mL/min/1.73 m2, was estimated by the chi-square test of linear by linear association. To assess the cut-off value of eCCr as a predictor of events, receiver operating characteristic (ROC) curve analysis was used. Cumulative event free survival was assessed using the Kaplan-Meier method and compared using the log-rank test. A two tailed P value of <0.05 was considered statistically significant. All data were analyzed using SPSS for Windows 18.0 (IBM Co., Armonk, NY, USA).

Ethics statement

The study protocol was approved by the institutional review board (IRB) of each hospital (IRB No. at Boramae Medical Center: 06-2011-222). Informed consent was exempted by the IRB due to anonymous information collection and retrospective study design.

RESULTS

Baseline characteristics of study subjects

Baseline clinical characteristics of study subjects are shown in Table 1. Their mean age was 62.5±10.3 yr (range, 25 to 85 yr) and 52.5% of the patients were male. About a half of patients had hypertension (53.1%) and diabetes mellitus (47.5%). Most of patients (84.6%) had intermediate pretest probability of CAD. Mean eCCr was 64.7±18.5 mL/min/1.73 m2.
Table 1

Baseline characteristics of study patients

CharacteristicValue (n=625)
Age (yr)62.5±10.3
Male sex, No. (%)328 (52.5)
Body mass index (kg/m2)24.8±3.3
Current smoking, No. (%)120 (19.2)
Hypertension, No. (%)332 (53.1)
Diabetes mellitus, No. (%)297 (47.5)
Pretest probability, No. (%)
 Low (<10%)72 (11.5)
 Intermediate (10%-90%)529 (84.6)
 High (>90%)24 (3.8)
Total cholesterol (mg/dL)184±39
LDL-cholesterol (mg/dL)108±32
HDL-cholesterol (mg/dL)48±13
Triglyceride (mg/dL)149±87
eCCr (mL/min/1.73 m2)64.7±18.5

LDL, low-density lipoprotein; HDL, high-density lipoprotein; eCCr, estimated creatinine clearance.

Clinical parameters predicting events

Cardiovascular events were evaluated during follow-up period of 819±529 days (median 837 days). There were four cases of cardiac death (0.6%), three cases of non-fatal MI (0.5%), 11 cases of unstable angina (1.8%) and 11 cases of late revascularization (1.8%). Primary composite events including cardiac death, non-fatal MI, unstable angina and late revascularization occurred in 28 patients (4.5%), and composite hard events including cardiac death and non-fatal MI occurred in seven patients (1.1%). Annualized all- and hard-event rates were 2.00% and 0.49%, respectively. Fifteen patients (2.4%) were died, and mean annualized death rate was 1.06% (Table 2). Clinical parameters predicting cardiovascular events were assessed using multivariable Cox regression analyses (Table 3). Independent predictors for primary composite cardiac events were male sex (hazard ratio [HR], 2.40; 95% confidence interval [CI], 1.01-5.69; P=0.046) and low eCCr (<60 mL/min/1.73 m2) (HR, 3.07; 95% CI, 1.22-7.74; P=0.017). Diabetes mellitus had a marginal significance in this model (P=0.060). eCCr was the only independent predictor for secondary composite hard events (HR, 17.6; 95% CI, 1.44-215.7; P=0.025). Primary composite event rates proportionally increased with decrease of eCCr: event rates were 1.3%, 3.2≥, and 7.6% in subjects with eCCr ≥90 mL/min/1.73 m2, 60-89 mL/min/1.73 m2 and <60 mL/min/1.73 m2, respectively (P=0.006) (Fig. 1). In ROC curve analysis, the sensitivity and specificity for detection of primary composite cardiac events were 53.5% and 77.3%, respectively with eCCr 60 mL/min/1.73 m2 as the best cut-off value (Fig. 2). In Kaplan-Meier survival curve, cumulative primary and secondary composite event free survival rates were significantly lower in patients with low eCCr (<60 mL/min/1.73 m2) compared to those with high eCCr (≥60 mL/min/1.73 m2) (log-rank P<0.05 for each) (Fig. 3).
Table 2

Major adverse cardiovascular events

EventNo. (%)
Total death15 (2.4)
Cardiac death4 (0.6)
Non-fatal MI3 (0.5)
UA11 (1.8)
Late revascularization11 (1.8)
CD, non-fatal MI, UA and late revascularization28 (4.5)
CD and non-fatal MI7 (1.1)

MI, myocardial infarction; UA, unstable angina; CD, cardiac death.

Table 3

Independent predictors for events

VariableHR (95% CI)P
CD, non-fatal MI, UA and revascularization
 Age ≥ 65 yr0.98 (0.94-1.02)0.501
 Male sex2.40 (1.01-5.69)0.046
 Current smoking0.75 (0.21-2.70)0.667
 Diabetes mellitus2.36 (0.96-5.78)0.060
 Hypertension1.52 (0.64-3.57)0.336
 eCCr < 60 mL/min/1.73 m23.07 (1.22-7.74)0.017
CD and non-fatal MI
 Age ≥ 65 yr0.96 (0.88-1.08)0.472
 Male sex5.46 (0.60-49.1)0.130
 Current smoking1.40 (0.14-13.9)0.770
 Diabetes mellitus1.87 (0.31-11.18)0.491
 Hypertension1.45 (0.25-8.20)0.674
 eCCr < 60 mL/min/1.73 m217.6 (1.44-215.7)0.025

HR, hazard ratio; CI, confidence interval; CD, cardiac death; MI, myocardial infarction; UA, unstable angina; eCCr, estimated creatinine clearance.

Fig. 1

Clinical outcome according to renal function.

Fig. 2

ROC curve analysis showing cut-off value of eCCr predicting cardiovascular events. ROC, receiver operating characteristic; eCCr, estimated creatinine clearance; AUC, area under curve; CI, confidence interval.

Fig. 3

Kaplan-Meier curve showing event free survival rates of clinical outcomes according to renal function. (A) Primary composite event rates and (B) hard event rates. CD, cardiac death; MI, myocardial infarction; UA, unstable angina; Revasc., revascularization; eCCr, estimated creatinine clearance.

DISCUSSION

The present study demonstrated that rate of cardiovascular events including cardiac death, non-fatal MI, unstable angina and late revascularization was 4.5%, and cardiac death and non-fatal MI was 1.1% during follow-up period of 819±529 days (median 837 days) in patients without significant CAD on CCTA. The renal function assessed by eCCr was an independent predictor of adverse cardiovascular events in this population. To the best of our knowledge, this is the first report showing the prognostic significance of renal function among patients without significant CAD. The results of the present study suggest that careful monitoring and preventive strategy is necessary for individuals with renal impairment even without significant CAD. It has been reported that annualized cardiovascular event rate is much lower in individuals without obstructive CAD than those with by CCTA. Min et al. (4) demonstrated favorable outcomes with a 0.22% annualized death rate in patients without CAD. Chow and colleagues showed that annual cardiovascular rates were 0.26% for patients with no CAD, 0.87% for those with non-obstructive CAD, and 4.61% for those with obstructive CAD on CCTA (15). Russo et al. (16) reported excellent prognosis in patients with normal coronary artery with an annualized incidence rate of 0.88% and in patients with mild CAD with 3.89%. Lin et al. (17) demonstrated that individuals with no CAD on CCTA had a favorable intermediate-term prognosis with annualized mortality rate 0.34%. In a meta-analysis, the annualized event rate was 11.9% among patients with insignificant CAD and 0.4% for those without CAD on CCTA (18). Our study results are in line with these previous results showing that annualized all- and hard-event rates were 2.00% and 0.49%, respectively. Compared to obstructive CAD, the prognostic factors in patients with insignificant CAD evaluated by CCTA has not been well studied. Recently, there was a report investigating 2,583 patients with non-obstructive CAD on CCTA (17). In that study, traditional risk factors including old age, male sex, hypertension, diabetes mellitus, dyslipidemia and smoking status were independent predictors for cardiovascular events. However, they did not evaluate the prognostic impact of renal function in that study. The present study showed that male sex and impaired renal function were independent predictors in subjects without significant CAD. Chronic kidney disease (CKD) is an independent risk factor of cardiovascular disease (1920). Greater prevalence of traditional cardiovascular risk factors and uremia associated consequencies such as volume overload, anemia, and oxidative stress have been known to contribute to the poor cardiovascular outcomes (19). However, high rates of sudden cardiac death and coronary events in CKD patients without known CAD or after complete revascularization could not be fully understood by these factors (16182122). In this regard, the important role of non-obstructive vulnerable plaque has been suggested as another mechanism how CKD increases the risk (232425). Wada et al. (26) reported that CKD accelerates the formation of vulnerable plaque and increases the frequency of plaque disruption. Baber et al. (22) characterized coronary atherosclerotic plaque morphology in CKD patients using intravascular ultrasound and demonstrated that CKD patients have plaque composed of greater necrotic core and less fibrous tissue prone to rupture. Similarly, Hayano et al. (27) demonstrated that impaired renal function was related to higher percentage of lipid volume within the neointima after stent implantation leading to an increased risk of late stent failure. In addition, it has been reported that impaired renal function causes decreased number of smooth muscle cells within the plaque that may cause loss of fibrous cap of plaque (28). Other studies showed that CKD enhanced carotid artery calcification and reduced collagenous plaque that may lead to plaque instability and rupture (2930). Besides retrospective design, this study has several limitations. First, we could not provide information on plaque composition or nature that might suggest the clue explaining the high event rates in patients with renal impairment. Second, information regarding management following CCTA was not available. Medications such as aspirin or statin and life style changes might affect clinical outcomes. Also, information on type of medical treatment in patients with diabetes was missing in our study. The present study shows that renal function is an independent predictor for cardiovascular events among patients without significant CAD by CCTA, and suggests that careful monitoring and preventive strategy are warranted in patients with impaired renal function even without significant CAD.
  30 in total

1.  Age- and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the International Multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) of 23,854 patients without known coronary artery disease.

Authors:  James K Min; Allison Dunning; Fay Y Lin; Stephan Achenbach; Mouaz Al-Mallah; Matthew J Budoff; Filippo Cademartiri; Tracy Q Callister; Hyuk-Jae Chang; Victor Cheng; Kavitha Chinnaiyan; Benjamin J W Chow; Augustin Delago; Martin Hadamitzky; Joerg Hausleiter; Philipp Kaufmann; Erica Maffei; Gilbert Raff; Leslee J Shaw; Todd Villines; Daniel S Berman
Journal:  J Am Coll Cardiol       Date:  2011-08-16       Impact factor: 24.094

2.  ACC/AHA 2007 guidelines for the management of patients with unstable angina/non ST-elevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the 2002 Guidelines for the Management of Patients With Unstable Angina/Non ST-Elevation Myocardial Infarction): developed in collaboration with the American College of Emergency Physicians, the Society for Cardiovascular Angiography and Interventions, and the Society of Thoracic Surgeons: endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation and the Society for Academic Emergency Medicine.

Authors:  Jeffrey L Anderson; Cynthia D Adams; Elliott M Antman; Charles R Bridges; Robert M Califf; Donald E Casey; William E Chavey; Francis M Fesmire; Judith S Hochman; Thomas N Levin; A Michael Lincoff; Eric D Peterson; Pierre Theroux; Nanette Kass Wenger; R Scott Wright; Sidney C Smith; Alice K Jacobs; Jonathan L Halperin; Sharon A Hunt; Harlan M Krumholz; Frederick G Kushner; Bruce W Lytle; Rick Nishimura; Joseph P Ornato; Richard L Page; Barbara Riegel
Journal:  Circulation       Date:  2007-08-06       Impact factor: 29.690

3.  Mortality risk in symptomatic patients with nonobstructive coronary artery disease: a prospective 2-center study of 2,583 patients undergoing 64-detector row coronary computed tomographic angiography.

Authors:  Fay Y Lin; Leslee J Shaw; Allison M Dunning; Troy M Labounty; Jin-Ho Choi; Jonathan W Weinsaft; Sunaina Koduru; Millie J Gomez; Augustin J Delago; Tracy Q Callister; Daniel S Berman; James K Min
Journal:  J Am Coll Cardiol       Date:  2011-07-26       Impact factor: 24.094

Review 4.  Meta-analysis and systematic review of the long-term predictive value of assessment of coronary atherosclerosis by contrast-enhanced coronary computed tomography angiography.

Authors:  Fabian Bamberg; Wieland H Sommer; Verena Hoffmann; Stephan Achenbach; Konstantin Nikolaou; David Conen; Maximilian F Reiser; Udo Hoffmann; Christoph R Becker
Journal:  J Am Coll Cardiol       Date:  2011-06-14       Impact factor: 24.094

5.  Prognostic significance of dyspnea in patients referred for cardiac stress testing.

Authors:  Aiden Abidov; Alan Rozanski; Rory Hachamovitch; Sean W Hayes; Fatma Aboul-Enein; Ishac Cohen; John D Friedman; Guido Germano; Daniel S Berman
Journal:  N Engl J Med       Date:  2005-11-03       Impact factor: 91.245

6.  Diagnostic performance of coronary angiography by 64-row CT.

Authors:  Julie M Miller; Carlos E Rochitte; Marc Dewey; Armin Arbab-Zadeh; Hiroyuki Niinuma; Ilan Gottlieb; Narinder Paul; Melvin E Clouse; Edward P Shapiro; John Hoe; Albert C Lardo; David E Bush; Albert de Roos; Christopher Cox; Jeffery Brinker; João A C Lima
Journal:  N Engl J Med       Date:  2008-11-27       Impact factor: 91.245

7.  Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality.

Authors:  James K Min; Leslee J Shaw; Richard B Devereux; Peter M Okin; Jonathan W Weinsaft; Donald J Russo; Nicholas J Lippolis; Daniel S Berman; Tracy Q Callister
Journal:  J Am Coll Cardiol       Date:  2007-09-04       Impact factor: 24.094

8.  Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial.

Authors:  Matthew J Budoff; David Dowe; James G Jollis; Michael Gitter; John Sutherland; Edward Halamert; Markus Scherer; Raye Bellinger; Arthur Martin; Robert Benton; Augustin Delago; James K Min
Journal:  J Am Coll Cardiol       Date:  2008-11-18       Impact factor: 24.094

9.  A decline in renal function is associated with loss of bone mass in Korean postmenopausal women with mild renal dysfunction.

Authors:  Hack-Lyoung Kim; In Young Park; Jin Man Choi; Se-Min Hwang; Hyo Sang Kim; Jae-Sung Lim; Min Kim; Min-Jeong Son
Journal:  J Korean Med Sci       Date:  2011-02-25       Impact factor: 2.153

10.  The diagnostic accuracy, image quality and radiation dose of 64-slice dual-source CT in daily practice: a single institution's experience.

Authors:  Joon Ho Moon; Eun-Ah Park; Whal Lee; Yong Hu Yin; Jin Wook Chung; Jae Hyung Park; Hae-Young Lee; Hyun-Jae Kang; Hyo-Soo Kim
Journal:  Korean J Radiol       Date:  2011-04-25       Impact factor: 3.500

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