Literature DB >> 21415918

Exercise electrocardiographic responses and serum cystatin C levels among metabolic syndrome patients without overt diabetes mellitus.

Asli Tanindi1, Hilal Olgun, Ayse Tuncel, Bulent Celik, Hatice Pasaoglu, Bulent Boyaci.   

Abstract

OBJECTIVES: An impaired heart rate response during exercise (chronotropic incompetence) and an impaired heart rate recovery (HRR) after exercise are predictors of cardiovascular risk and mortality. Cystatin C is a novel marker for cardiovascular disease. We aimed to investigate exercise electrocardiographic responses in patients with metabolic syndrome who were without overt diabetes mellitus, in addition to the association of serum cystatin C levels with the exercise electrocardiographic test results.
METHOD: Forty-three consecutive patients admitted to a cardiology outpatient clinic without angina pectoris were recruited if they met criteria for metabolic syndrome but did not have overt diabetes mellitus. Serum cystatin C levels were measured, and all participants underwent exercise electrocardiographic testing. Patients who were found to have ischemia had a coronary angiography procedure.
RESULTS: The mean cystatin C level of patients was higher in metabolic syndrome group than healthy controls (610.1 ± 334.02 vs 337.3 ± 111.01 μg/L; P < 0.001). The percentage of patients with ischemia confirmed by coronary angiography was 13.9% in the metabolic syndrome group. Cystatin C levels in the ischemic patients of the metabolic syndrome group were higher than that in nonischemic patients (957.00 ± 375.6 vs 553.8 ± 295.3 μg/L; P = 0.005). Chronotropic incompetence was observed in 30.2% of the patients with metabolic syndrome compared with 16.7% in the control group (P = 0.186). Chronotropic response indices were 0.8 ± 0.18 versus 0.9 ± 0.10 for the two groups, respectively (P = 0.259). HRR was significantly lower in the metabolic syndrome patients compared with the controls (20.1 ± 8.01 vs 25.2 ± 4.5 per min; P < 0.001), and the ST-segment adjustment relative to heart rate(ST/HR index ratio) was 1.4 ± 1.34 versus 0.4 ± 0.31 μV/beat (P < 0.001), respectively. Cystatin C was negatively correlated with the chronotropic response index (CRI) and HRR and was positively correlated with ST/HR index in the entire study population (R = -0.658, -0.346, 0.388, respectively; P < 0.05).
CONCLUSIONS: A substantial proportion of metabolic syndrome patients without overt diabetes mellitus had silent coronary ischemia in addition to impairment of objective exercise electrocardiographic parameters. In the metabolic syndrome patients without overt diabetes mellitus, cystatin C levels were found to be elevated and the elevation was more pronounced in the subgroup with silent ischemia. Cystatin C was also correlated with HRR and CRI.

Entities:  

Keywords:  cystatin C; exercise electrocardiography; metabolic syndrome; silent ischemia

Mesh:

Substances:

Year:  2011        PMID: 21415918      PMCID: PMC3049540          DOI: 10.2147/VHRM.S16638

Source DB:  PubMed          Journal:  Vasc Health Risk Manag        ISSN: 1176-6344


Introduction

Metabolic syndrome, which consists of abdominal obesity, low levels of high-density lipoprotein, high blood pressure, high blood glucose, and high triglyceride levels, has become an increasingly important risk factor for cardiovascular morbidity and mortality.1 Recently, it was reported that exercise electrocardiographic responses are strong predictors of cardiovascular risk and mortality in the presence of metabolic syndrome components and this relationship increased with the number of present metabolic syndrome components.2 Chronotropic incompetence, (CI) defined as ‘the inability to achieve 85% of the age-predicted maximum heart rate’, has been shown to be associated with cardiovascular risk and cardiac mortality.3 It has also been reported that autonomic nervous system–related chronotropic incompetence during exercise is influenced by endothelial dysfunction as represented by flow-mediated dilation.4 Heart rate recovery (HRR), another parameter evaluated during exercise testing, is a marker of impaired parasympathetic reactivity and has been studied in patients with metabolic syndrome or metabolic risk factors.5,6 Cystatin C, which is a novel indicator of renal glomerular filtration rate, has recently been shown to be associated with metabolic syndrome, diabetes, and prediabetes.7–9 Cystatin C levels have been found to be superior to creatinine or creatinine-based formulas for the prediction of cardiovascular events and all-cause mortality.10 The association of cystatin C with insulin resistance, metabolic syndrome, and endothelial dysfunction,11 in addition to a number of inflammatory biomarkers,12,13 is the likely link between cardiovascular disease and cystatin C. We chose to study metabolic syndrome patients without known coronary artery disease or overt diabetes mellitus because diabetes is considered to be a coronary artery disease risk equivalent. We sought to investigate the impact of metabolic syndrome on exercise electrocardiographic stress test parameters, especially regarding chronotropic incompetence, chronotropic response index (CRI), and HRR. In addition, we examined the association of cystatin C in metabolic syndrome without overt diabetes and the prementioned exercise test parameters regarding the early detection of cardiovascular disease and risk prediction.

Patients and methods

Forty-three consecutive patients admitted to the outpatient clinic of the Cardiology Department of Gazi University Faculty of Medicine Hospital between September 2009 and February 2010 were recruited only if they did not have angina pectoris or any angina equivalent and if they met the criteria for metabolic syndrome but did not exhibit overt diabetes mellitus. Patients were enrolled if they had impaired glucose tolerance. Metabolic syndrome was defined according to the American Heart Association and the National Heart, Lung, and Blood Institute criteria.14 Patients with three or more of the following risk factors were considered to have metabolic syndrome: 1) abdominal obesity (>102 cm in men and >88cm in women), 2) low high-density lipoprotein levels (<40 mg/dL for men and <50 mg/dL for women), 3) high triglyceride levels (>150 mg/dL), 4) high fasting plasma glucose levels (>100 mg/dL), and 5) high blood pressure (≥130/85 mm Hg). Baseline biochemical examinations were performed after 12 h of fasting. Blood pressures were recorded in the outpatient clinic after 10 min of rest. Waist circumference was measured at the level of the umbilicus using a standard anthropometric tape measure. Patients with known diabetes mellitus, previous coronary artery disease, cerebrovascular disease, moderate to severe valvular pathology, heart failure, hyperthyroidism, hypothyroidism, left bundle branch block, Wolff–Parkinson–White syndrome, any rhythm other than sinus rhythm on baseline electrocardiography (atrial fibrillation, atrial flutter, etc.), impaired renal function (serum creatinine >1.4 mg/dL), or impaired liver function (aspartate aminotransferase/alanine aminotransferase elevation >3 times the upper limit) were excluded. The control group comprised healthy individuals admitted to the institutional blood transfusion center of the hospital as voluntary blood donors. The study was conducted according to the guidelines of the Declaration of Helsinki, and it was approved by the Institutional Ethics Committee. All of the participants provided written informed consent. Blood samples for cystatin C measurements were centrifuged and kept at −80°C until they were measured using the Human Cystatin C ELISA assay (BioVendor, Modrice, Czech Republic) according to the manufacturer’s protocols. Both intra-assay and inter-assay coefficient of variations were <5%. Exercise testing was performed according to the Bruce protocol with an AT-10 Exercise Testing System (Schiller, Baar, Switzerland). A 12-lead electrocardiography study was obtained throughout the procedure, and heart rate was monitored from the beginning of testing to the end of the recovery period. Blood pressure measurements were made at the beginning of testing, at every stage, and during the recovery period. The target heart rate for each participant was calculated before the procedure according to the following formula for age-predicted maximum heart rate: 220 − age. Exercise capacity was represented as the maximal metabolic equivalent (MET) achieved during exercise. The Duke score, which has been validated as an important predictor of mortality,15 was calculated for each participant according to the following formula: Duke treadmill score (DTS) = the duration of exercise (in minutes) − (5 × maximal ST segment deviation) −(4 × angina score). (Angina score: 0 = no angina, 1 = nontest-limiting angina, 2 = exercise-limiting angina.) Chronotropic incompetence was defined as a ‘failure to achieve 85% of age predicted maximum heart rate’. The CRI, which is a measure of maximal heart rate in relation to chronotropic reserve, was calculated using the formula: (peak heart rate − resting heart rate)/(age − age predicted maximum heart rate − resting heart rate).16 HRR was defined as a decrease in the heart rate from peak exercise rate to 1 min after cessation of exercise.17 Exercise test results regarding ischemia were interpreted as either ischemic, equivocally ischemic, or normal. The criteria for classifying an exercise stress test as ‘ischemic’ have been provided elsewhere.18 We categorized an exercise stress test result as ‘equivocal’ if ST segment depressions of 0.5–1 mm were observed to persist for more than 0.08 sec. Participants with ischemic or equivocal test results underwent coronary angiography by Judkins technique, which was performed using a Toshiba Infinix CSI device (Toshiba, Tokyo, Japan) using 6F catheters via femoral route. Coronary angiographic evaluation was performed by two blinded cardiologists offline; in the case of any disagreement, a third cardiologist was consulted. The presence of >70% coronary stenosis was defined as definite ischemia.

Statistical analysis

SPSS for Windows (version 15; SPSS, Chicago, IL) was used for statistical analyses. Continuous variables, such as cystatin C levels, CRI, HRR, and the ST/HR index, were expressed as means±standard deviation, whereas percentages and frequencies were used to express categorical variables, such as the presence of ischemia or metabolic syndrome. A χ2 test and Fischer’s exact test were used for the analysis of categorical variables. For continuous variables, parametric test conditions were first tested. The Shapiro–Wilk test was used to examine whether continuous variables were normally distributed. For the analysis of the difference between two groups, Student’s t-test and Mann–Whitney U test were employed according to the parametric test conditions. The degree of association between continuous variables was calculated by a Spearman’s ‘rho’ correlation coefficient. The area under curve (AUC) and 95% confidence intervals for cystatin C were evaluated by receiver operating characteristic (ROC) analysis. The best cut-off point for cystatin C was also calculated. A P value < 0.05 was considered to be statistically significant.

Results

Baseline characteristics of the study population are provided in Table 1. The mean age of metabolic syndrome patients (52.4 ± 10.5) was higher than the control group (38.0 ± 6.5), whereas the ratio of males to females were comparable (23.3% vs 36.7%, P=0.213). The mean cystatin C levels were higher in metabolic syndrome patients than in healthy controls (610.1 ± 334.02 vs 337.3 ± 111.01 μg/L; P < 0.001). When a ROC curve analysis was performed, the cut-off value for cystatin C was 374.5μg/L (Figure 1). The AUC was 0.824 (95% CI 0.728–0.921, P < 0.001). According to this cut-off point, 81.4% of the patients with metabolic syndrome had ‘high’ cystatin C levels, whereas only 23.3% of the patients without metabolic syndrome had levels >374.5 μg/L. When cystatin C levels were grouped according to the number of metabolic syndrome components present, it was found that cystatin C levels increased with the number of components (Table 2). However, the difference in cystatin C levels of patients who met at least three criteria for metabolic syndrome was nonsignificant.
Table 1

Baseline characteristics of the study population

MS (+) (n = 43)MS (−) (n = 30)P
Age52.4 ± 10.5838.0 ± 6.4890.000
Gender (M/F) (%)10/33 (23.3/76.7)11/19 (36.7/63.3)0.213
Smoker (%)34.940.00.656
Family history (%)23.326.70.739
Drugs used
  β-blocker (%)10.66.70.114
  ACE I (%)58.116.70.000
  ASA (%)14.010.00.613
  Statin (%)9.313.30.588
ECG ischemia (%)16.3
BMI32.6 (5.17)25.7 (1.94)0.000
Waist circumference108.0 (11.80)85.0 (6.72)0.000
Hb13.6 (1.59)13.2 (1.14)0.300
WBC7308.1 (1737.20)7294.0 (1102.72)0.969
Plt273,069.8 (65,653.27)297,333.3 (60,149.43)0.112
Fasting glucose102.9 (9.12)88.5 (10.45)0.000
BUN14.5 (3.86)27.9 (3.03)0.000
Creatinine0.8 (0.16)0.8 (0.15)0.207
Uric acid4.9 (1.42)4.3 (0.35)0.029
HDL41.5 (7.74)50.2 (7.88)0.000
LDL129.9 (37.43)130.4 (8.93)0.937
TG181.8 (63.36)149.0 (13.83)0.007

Abbreviations: MS, metabolic syndrome; ACE, angiotensin-converting enzyme; ASA, acetylsalicylic acid; ECG, electrocardiogram; BMI, body mass index; Hb, hemoglobin; WBC, white blood cells; Plt, platelets; BUN, blood urea nitrogen; HDL, high-density lipoprotein; LDL, low-density lipoprotein; TG, triglycerides.

Figure 1

Receiver operating characteristic (ROC) curve analysis for cystatin C levels. The cut-off point for cystatin C was 374.5 μg/L.

Table 2

Mean cystatin C levels with respect to the number of metabolic syndrome components present

No. of metabolic syndrome componentsNCystatin C μg/L (mean)SDMinMax
None8358.5084.490223488
1/516305.4483.034126456
2/56393.83181.645283754
3/516613.63379.0262611335
4/519627.16318.6952241348
5/58562.50311.4462741137
Total73497.97297.1781261348

Note: The difference between 1 criterion and 3 criteria and the difference between 1 criterion and 4 criteria are statistically significant (P < 0.05).

Abbreviation: SD, standard deviation.

Of the patients with metabolic syndrome, 55.8% completed the exercise test at stage III, and 63.4% of healthy controls achieved the same level. In contrast, 14% of metabolic syndrome patients and 33% of healthy controls reached stage IV. Table 3 shows the exercise electrocardiographic results of the study and control groups. Chronotropic incompetence was observed in 30.2% of patients with metabolic syndrome compared with 16.7% in the control group (P = 0.186). Chronotropic response indices were 0.8 ± 0.18 versus 0.9 ± 0.10, respectively (P = 0.259). HRR was significantly lower in the metabolic syndrome patients compared with the controls (20.1 ± 8.01 vs 25.2 ± 4.5 per min, P < 0.001). The ST/HR index ratio was 1.4 ± 1.34 versus 0.4 ± 0.31 μV/beat, respectively (P < 0.001). Table 4 shows the results from the exercise test regarding ischemia (ischemic, normal, or equivocal). The percentage of patients with an equivocal or ischemic exercise test was 30.2% in the metabolic syndrome population, but only 13.9% of metabolic syndrome patients had definite ischemia detected by coronary angiography. None of the participants in the control group had definite ischemia. Table 5 shows the exercise test parameters of metabolic syndrome patients and the entire population with or without ischemia. We were unable to show significant differences in the mean CRI and the HRR time between ischemic and nonischemic patients within the metabolic syndrome group; however, these parameters were significantly different in the entire study population.
Table 3

Exercise electrocardiographic test results of participants with and without metabolic syndrome

MS (+) (n = 43)MS (−) (n = 30)P
Duke score2.3 ± 4.278.8 ± 3.090.000
MET8.3 ± 1.699.6 ± 1.590.001
Exercise duration (min)6.5 ± 1.7110.5 ± 1.500.000
Initial HR90.0 ± 13.2078.0 ± 7.340.000
Max HR154.4 ± 20.99170.3 ± 13.930.001
APMHR167.1 ± 10.99181.9 ± 6.500.000
CRI0.8 ± 0.180.9 ± 0.100.259
HRR20.1 ± 8.0125.2 ± 4.500.000
ST/HR1.4 ± 1.340.4 ± 0.310.000

Abbreviations: MET, metabolic equivalent; HR, heart rate; APMHR, age-predicted maximum heart rate; CRI, chronotropic response index; ST/HR, ST-HR index; MS, metabolic syndrome.

Table 4

Exercise test results of the study population with and without metabolic syndrome

Exercise test resultsMetabolic syndrome
Present (n = 43)Absent (n = 30)
Ischemia (N/%)6 (13.9)
Normal (N/%)30 (69.7)25 (83.3)
Equivalent (N/%)7 (16.4)5 (16.7)
Table 5

Exercise electrocardiographic test results according to the presence or absence of ischemia in metabolic syndrome patients and the entire study population

IschemiaNMeanSDUP
MET S(+) only
  CRI(−)370.840.16661.000.083
(+)60.660.233
  HRR (beats/min)(−)3720.708.29975.000.220
(+)616.334.885
  ST/HR (μV/beat)(−)371.141.12732.000.004
(+)62.951.612
Entire population
  CRI(−)670.860.140103.000.046
(+)60.660.242
  HRR (beats/min)(−)6722.707.17383.500.018
(+)616.334.885
  ST/HR (μV/beat)(−)670.790.94038.000.001
(+)62.951.612

Abbreviations: MET, metabolic equivalent; CRI, chronotropic response index; HRR, heart rate recovery.

Cystatin C levels in the ischemic patients of the metabolic syndrome group were higher than levels in the nonischemic patients (957.00 ± 375.6 vs 553.8 ± 295.3 μg/L; P = 0.005). Cystatin C was negatively correlated with the CRI and HRR and was positively correlated with the ST/HR index in entire study population (R = −0.658, R = −0.346, and R = 0.388, respectively; P < 0.05). When patients with metabolic syndrome were separately evaluated, cystatin C levels were negatively correlated with the CRI (R = −0.737, P < 0.05) (Figure 2), but the correlation with HRR and the ST/HR index did not reach statistical significance.
Figure 2

Scatter plot showing the correlation between cystatin C and the chronotropic response index (CRI).

Discussion

The major finding of this study was the presence of silent ischemia in 13.9% of patients with metabolic syndrome but without overt diabetes mellitus. The mean cystatin C level was higher in metabolic syndrome patients than in healthy controls. Moreover, cystatin C levels in ischemic patients within the metabolic syndrome group were higher than in nonischemic patients. The 13.9% prevalence of silent ischemia in our study is lower than percentages reported for diabetic patients.19,20 To our knowledge, this study is the first to report the frequency of silent ischemia in metabolic syndrome patients without overt diabetes mellitus. Although our report highlights the presence of coronary ischemia in a substantial proportion of the target population, this issue should be a topic for future research in larger study populations to confirm these results. When objective parameters for the interpretation of exercise stress testing were analyzed, we observed that HRR was significantly impaired when compared with healthy controls. However, the difference between the percentage of participants with and without chronotropic incompetence and the chronotropic response indices of participants with or without metabolic syndrome did not reach statistical significance. Cystatin C was negatively correlated with the CRI and HRR and was positively correlated with ST/HR index. Cystatin C, a low molecular weight plasma protein that functions as an inhibitor of cysteine proteases, is produced by all nucleated cells, freely filtered by renal glomeruli and metabolized in the proximal tubules.21 Cystatin C has been shown to be a strong independent risk factor for cardiovascular mortality and a powerful prognostic factor among patients with known coronary artery disease.22,23 High cystatin C concentrations also predict cardiovascular risks in patients without microalbuminuria and with normal glomerular filtration rates, in addition to patients with renal damage.10 We have demonstrated an association between cystatin C and the presence of metabolic syndrome without overt diabetes mellitus. In addition, we report a positive correlation between this molecule and silent ischemia as well as some of the above-mentioned exercise electrocardiographic parameters. Recently cystatin C has been reported to be associated with endothelial dysfunction as represented by flow-mediated dilatation,24 in addition to its correlation with insulin resistance and inflammatory biomarkers.12,13,25 Although we cannot definitely suggest a causal relationship between cystatin C and silent ischemia or any of the exercise electrocardiographic findings due to the cross-sectional design of the study, endothelial dysfunction probably constitutes an important role in this process due to the fact that endothelium is the chief regulator of vascular homeostasis26 and plays a role in all stages of atherosclerosis.27 In a recent study, 899 patients with known coronary artery disease and stable angina pectoris had underwent an exercise treadmill test with stress echocardiography, and elevated levels of cystatin C were associated with inducible ischemia.28 HRR after maximal exercise testing is a predictor of mortality and cardiovascular disease independent of the angiographic severity of coronary artery disease.29,30 Studies investigating HRR have expanded to include diabetic patients, patients with insulin resistance, and patients with metabolic risk factors.31–34 It has been suggested that short-term HRR (1-min HRR) reflects cardiac parasympathetic outflow, whereas a subsequent slow heart rate decay is associated with the withdrawal of sympathetic activity.35 There have been studies suggesting that autonomic dysfunction is associated with hyperinsulinemia, insulin resistance, and obesity36,37 and that the central nervous system contributes to the development of metabolic syndrome. However, the CARDIA study has revealed that a slower HRR does not precede the development of the metabolic syndrome, but, rather appears after components of the syndrome are present.5 In a recent study by Giallauria et al, in a population consisting of young women with polycystic ovary syndrome, abnormal HRR was associated with elevated white blood cell counts and C-reactive protein, a well-known inflammatory marker.38 Another report demonstrated that in patients with established coronary artery disease, Cystatin C concentrations were associated with decreased exercise capacity and lower HRR;39 however, the participants in that study were largely elderly men. Our results support previous studies that suggest an impairment of HRR in the presence of metabolic disturbances or inflammation, but this relationship has now been demonstrated for the first time in an asymptomatic patient group with metabolic syndrome, without overt diabetes. Chronotropic incompetence is defined by an attenuated heart rate response to exercise that has been shown to predict cardiovascular risk and mortality in healthy populations; even after adjusting for age, standard risk factors, and ST segment changes during exercise.40 Chronotropic incompetence has been believed to reflect a modulation of autonomic tone. It has been suggested that frequent activation of sympathetic nerves alters β-adrenergic sensitivity and causes postsynaptic β desensitization, which subsequently leads to chronotropic incompetence during exercise.41,42 Another proposed mechanism is compensatory vagal hyperactivity during exercise.43 Huang et al reported that among patients who had undergone a treadmill exercise test for typical and atypical angina pectoris, the subgroup with chronotropic incompetence had endothelial dysfunction and enhanced systemic inflammation.4 We observed that cystatin C was correlated with chronotropic incompetence and the CRI, although the cross-sectional design of this study prevents a causal interpretation of this relationship. In conclusion, in metabolic syndrome patients without overt diabetes mellitus, we have demonstrated the presence of silent ischemia in a substantial percentage of the study population as well as impairment in most of the exercise electrocardiographic parameters and an association between them and elevated serum cystatin C levels. Cystatin C, an emerging biomarker for cardiovascular morbidity and mortality, may be used to identify higher risk subgroups within asymptomatic metabolic syndrome patients. These patients require aggressive risk factor modification and antiatherosclerotic treatment. Our findings are, therefore, significant, especially for clinicians and practitioners who often treat these patients in their clinical practice.
  43 in total

1.  Association of smoking with abnormal exercise heart rate responses and long-term prognosis in a healthy, population-based cohort.

Authors:  R Srivastava; E H Blackstone; M S Lauer
Journal:  Am J Med       Date:  2000-07       Impact factor: 4.965

2.  Exercise testing for assessment of autonomic function.

Authors:  Michael S Lauer
Journal:  Am Heart J       Date:  2002-10       Impact factor: 4.749

Review 3.  Identification of myocardial ischemia in the diabetic patient. Joint ALFEDIAM and SFC recommendations.

Authors:  J Puel; P Valensi; G Vanzetto; V Lassmann-Vague; J-L Monin; Ph Moulin; Ch Ziccarelli; H Mayaudon; M Ovize; S Bernard; E Van Belle; S Halimi
Journal:  Diabetes Metab       Date:  2004-06       Impact factor: 6.041

4.  The temporal relationship between heart rate recovery immediately after exercise and the metabolic syndrome: the CARDIA study.

Authors:  Mohammad Ali Kizilbash; Mercedes R Carnethon; Cheeling Chan; David R Jacobs; Stephen Sidney; Kiang Liu
Journal:  Eur Heart J       Date:  2006-05-25       Impact factor: 29.983

5.  Mild renal dysfunction as a non-traditional cardiovascular risk factor?-Association of cystatin C-based glomerular filtration rate with flow-mediated vasodilation.

Authors:  Thorsten Reffelmann; Alexander Krebs; Till Ittermann; Klaus Empen; Astrid Hummel; Marcus Dörr; Henry Völzke; Stephan B Felix
Journal:  Atherosclerosis       Date:  2010-03-27       Impact factor: 5.162

6.  Plasma concentrations of cystatin C in patients with coronary heart disease and risk for secondary cardiovascular events: more than simply a marker of glomerular filtration rate.

Authors:  Wolfgang Koenig; Dorothee Twardella; Hermann Brenner; Dietrich Rothenbacher
Journal:  Clin Chem       Date:  2004-11-24       Impact factor: 8.327

7.  Heart rate recovery is more strongly associated with the metabolic syndrome, waist circumference, and insulin sensitivity in women than in men among the elderly in the general population.

Authors:  Göran Nilsson; Pär Hedberg; Tommy Jonason; Ingemar Lönnberg; John Ohrvik
Journal:  Am Heart J       Date:  2007-09       Impact factor: 4.749

8.  Heart rate recovery following maximal exercise testing as a predictor of cardiovascular disease and all-cause mortality in men with diabetes.

Authors:  Yiling J Cheng; Michael S Lauer; Conrad P Earnest; Timothy S Church; James B Kampert; Larry W Gibbons; Steven N Blair
Journal:  Diabetes Care       Date:  2003-07       Impact factor: 19.112

9.  Prognostic value of a treadmill exercise score in outpatients with suspected coronary artery disease.

Authors:  D B Mark; L Shaw; F E Harrell; M A Hlatky; K L Lee; J R Bengtson; C B McCants; R M Califf; D B Pryor
Journal:  N Engl J Med       Date:  1991-09-19       Impact factor: 91.245

10.  Relationship between heart rate recovery and inflammatory markers in patients with polycystic ovary syndrome: a cross-sectional study.

Authors:  Francesco Giallauria; Francesco Orio; Gaetano Lombardi; Annamaria Colao; Carlo Vigorito; Maria Giovanna Tafuri; Stefano Palomba
Journal:  J Ovarian Res       Date:  2009-02-02       Impact factor: 4.234

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