Journal of Clinical Images and Medical Case Reports

ISSN 2766-7820
Case Report - Open Access, Volume 2

Patients’ perception of health status and ischaemic burden in stable coronary artery disease

Chrysovalantou Nikolaidou1,2*; Maria Raikou3; Dimitris Niakas4; George Gerasimou5; Efstratios Moralidis5; Theodoros D Karamitsos1

1 1st Cardiology Department, AHEPA University Hospital, Thessaloniki, Greece

2 Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.

3 Department of Economics, University of Piraeus, Athens, Greece.

4 Hellenic Open University, Patras, Greece,

5 Department of Nuclear Medicine, AHEPA University Hospital, Thessaloniki, Greece

*Corresponding Author: Chrysovalantou Nikolaidou
Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Headley Way, Headington, Oxford, OX3 9DU, UK.
Email: [email protected]

Received : Oct 27, 2021

Accepted : Jan 12, 2022

Published : Jan 19, 2022

Archived : www.jcimcr.org

Copyright : © Nikolaidou C (2022).

Abstract

Background: Angina pectoris, the main manifestation of coronary artery disease has an unfavorable impact on quality of life. The aim of this study was to assess Health-Related Quality Of Life (HRQoL) in patients with Stable Coronary Artery Disease (SCAD) and to explore possible relationships between HRQoL and the risk factors for ischaemic heart disease, the Canadian Cardiovascular Society (CCS) angina severity class, and the extent of myocardial ischaemia on Single Photon Emission Computed Tomography Myocardial Perfusion Imaging (SPECT-MPI).

Methods: HRQoL was assessed with the use of two generic questionnaires, EQ-5D-3L and SF-36v2 in one hundred consecutive patients with SCAD.

Results: Most of the patients presented problems on the dimensions of mobility, pain/discomfort, and anxiety/depression of the EQ5D questionnaire. The EQ-VAS score was 61.96 ± 20.99, and the mean EQ-5D index value was 0.54 ± 0.31. The mean scores of the Physical Component Summary and the Mental Component Summary of the SF-36 questionnaire were 43.49 and 41.01 respectively. Higher CCS angina class, female gender and poor physical activity were significantly correlated with worse HRQoL. No statistically significant association was detected between HRQoL and the extent of ischaemia on myocardial perfusion imaging.

Conclusions: Patients with SCAD have an impaired HRQoL, which can be reliably assessed by generic HRQoL questionnaires. Angina severity could be used as a surrogate of HRQoL, but individual perception of health status should be measured independently of the amount of ischaemiaon cardiac perfusion scintigraphy

Keywords: health related quality of life; myocardial perfusion imaging; coronary artery disease.

Citation: Nikolaidou C, Raikou M, Niakas D, Gerasimou G, Moralidis E, et al. Patients’ perception of health status and ischaemic burden in stable coronary artery disease. J Clin Images Med Case Rep. 2022; 3(1): 1585.

Introduction

Coronary Artery Disease (CAD) is a major cause of mortality, morbidity and disability, and imposes a significant economic burden on global health systems [1,2]. The majority of patients with CAD suffer from chronic stable angina, which has a significant impact on quality of life. The need to assess the effect of treatment and interventions on quality of life is increasingly being recognized by clinicians [3], however only few of them are familiar with quality of life assessment tools or formally use them in their daily practice [4]. Health-related quality of life (HRQoL) refers to the impact that health conditions and their manifestations have on an individual’s quality of life. HRQoL can be assessed by “generic”questionnaires, which address general issues of health and multiple features of quality of life, or “disease-specific”, which focus on specific aspects of a particular disease [5]. The quality of life of Greek patients suffering from CAD has recently been acknowledged as an important determinant of long-term outcome [6-8], but has not been thoroughly studied. In addition, little is known about the association between HRQoL of patients with Stable Coronary Artery Disease (SCAD) and the extent of ischaemia on Single Photon Emission Computed Tomographymyocardial Perfusion Imaging (SPECTMPI), a widely used non-invasive diagnostic tool [9]. Only one study has previously examined the association between two scales of the SF-36 questionnaire, namely physical functioning and general health, and the results obtained by SPECT-MPI. The study showed that myocardial perfusion imaging results predicted only a small percentage of the variation in scores of the two SF-36 scales [10].

The purpose of our study was to assess HRQoL in patients with SCAD and its relationship to known risk factors for ischaemic heart disease, the Canadian Cardiovascular Society (CCS) angina severity class, and the extent of ischaemia on SPECTMPI. We hypothesized that the extent of ischaemia on perfusion imaging could be a surrogate marker for HRQoL.

Materials and methods

Study design and patient population

Prospective single-centre study including one hundred consecutive patients (76% male; mean age 65 years) with CAD referred for a SPECT-MPI study at the Department of Nuclear Medicine of AHEPA University Hospital, Greece. Inclusion criteria were known history of SCAD according to the 2013 European Society of Cardiology (ESC) criteria [11]; age ≥18 years; ability to understand and complete the questionnaires. Exclusion criteria were recent acute coronary event (within previous month); recent history of life-threatening arrhythmias (within three months); severe arterial hypertension (systolic blood pressure ≥ 200 mmHg and/or diastolic blood pressure ≥110 mmHg); physical disability; history of mental disorder; dementia; pregnancy. Patients with absolute and relative contraindications to exercise testing underwent vasodilator stress testing and vice versa [12]. Ethical approval for the study was granted by the Scien Ethical approval for the study was granted by the Scientific Council and the Administrative Council of AHEPA University Hospital and all patients provided written consent.

SPECT-MPI studies

The patients underwent treadmill exercise or pharmacological stress testing with intravenous infusion of adenosine 140 μgr/kg/min for 5 min or dipyridamole 140 μgr/kg/min for 4 min. 250 MBq 99mTechnetium-Sestamibi, 250 MBq 99mTechnetiumTetrofosmin (MYOVIEW), or 201Thallium were administered at maximum level of exercise on the treadmill, on the third minute of adenosine infusion, or three minutes after the end of dipyridamole infusion. When technetium was used, a second dose of 750 MBq was administered at rest. Images were obtained after the stress test and 2 hours later, at rest. Patients were divided into 4 groups according to the amount of ischaemia on their SPECT-MPI studies: i) no ischaemia; ii) small amount of ischaemia (<5%); iii) moderate ischaemia (5-15%); iv) severe ischaemia (>15%).

HRQoL assessment

HRQoL was assessed using the Greek version of two generic questionnaires EQ-5D-3L and SF-36v2 which are reliable and sensitive tools for the assessment of quality of life of patients with ischaemic heart disease [13-15] and have been validated for the Greek population [16,17]. The EQ-5D-3L questionnaire consists of a descriptive system and a Visual Analogue Scale (EQ VAS). The descriptive system has five quality of life dimensions that define health: mobility; self-care; usual activities; pain or discomfort; anxiety or depression. Each dimension has three levels, indicating no problems, some or moderate problems or extreme problems. The EQ VAS asks responders to self-rate their health on a “thermometer” visual analogue scale, with “best imaginable health state” set at 100 and “worst imaginable health state” set at 0. The responses from the descriptive part of the questionnaire can be converted into a single health index utility score, the EQ-5D index [18,19]. The mean EQ-5D index value was calculated using the York A1 Tariff algorithm. SF-36v2 is a brief, short-form health survey with 36 questions which yield 8 health domain scales: Physical Functioning (PF); Role-Physical (RP); Bodily Pain (BP); General Health (GH); Vitality (VT); Social Functioning (SF); Role-Emotional (RE); Mental Health (MH). The eight scales form two summary measures, the Physical and Mental Component Summary (PCS and MCS) Measures [20]. SF-36 scores were calculated using the Quality Metric Health Outcomes(tm) Scoring Software 4.5. Patients filled in the HRQoL questionnaires and a questionnaire about demographic data, medical history, CCS angina class and treatment for CAD immediately before their SPECT-MPI study

Statistical analysis

The analysis was undertaken using the Statistical Package for the Social Sciences (SPSS) version 21 for Windows. The association of patient demographic characteristics, past medical history, smoking, alcohol consumption, aerobic exercise duration, CSS angina class and of SPECT-MPI results with HRQoL was tested using the bivariate analysis. The continuous dependent variables, the EQ-5D index and the EQ VAS were compared with the above categoric independent variables by Student’s t-test. Associations between the results of SPECT-MPI studies and the parameters of the two questionnaires were performed with the Fisher’s exact test, one way ANOVA for the four categories of ischaemia, and Pearson chi-square test when the results were merged into two groups of ischaemia. A P value of <0.05 was considered statistically significant. The Pearson correlation coefficient was used to evaluate the strength of the linear relation between CCS class, myocardial perfusion imaging results and SF-36 scores, EQ-5D answers on dimensions, EQ VAS (visual analogue scale) scores and EQ-5D index results.

Results

Patient characteristics

Patient characteristics are shown in Table 1. Most patients were male (76%), older than 60 years (63%) and non-smokers (69%). Sixty-three percent of the patients suffered from previous myocardial infarction. Percutaneous Coronary Intervention (PCI) was performed in 60% of the patients, Coronary Artery Bypass Grafting (CABG) in 17%, while 23% of patients were on pharmacological treatment alone. Most of the patients had hypertension and dyslipidemia (82% and 87% respectively), 36% suffered from diabetes mellitus and 26% from heart failure.

Table 1: Demographic patient characteristics and history of CAD.

Males, (n = %)

76.0

Average age, (years)
Age range, (years)

65.0
37.0-84.0

BMI, (kg/m2)

29.2± 5.2

Current smokers, (n = %)

31.0

Exercise level
Less than 1.5 hours per week, (n = %)
More than 1.5 hours per week, (n = %)

 

64.0
36.0

Time of CAD diagnosis
During the previous year, (n = %)
More than 1 year ago, (n = %)

 

24.0
76.0

History of acute myocardial infarction, (n = %)

63.0

Treatment for CAD
PCI, (n = %)
CABG, (n = %)
Medical management, (n = %)

 

60.0
17.0
23.0

CCS angina class and SPECT-MPI findings

The majority of the patients were in CCS angina class II (42%) or III (21%). Only 12% of the patients were in class IV, while 13% were in class I and 12% reported having no angina or equivalent symptoms. A sizeable proportion of the patients (44%) had a small extent of ischaemiaon SPECT-MPI, and 30% showed no inducible ischaemia. Moderate and extensive ischaemia was detected in 24% and 2% of the patients, respectively. Approximately one third of the patients (33%) had a myocardial scar and 14% had evidence of myocardial dysfunction.

HRQoL findings

Patients’ responses are shown in Table 2. The EQ-VAS mean score was 61.96 ± 20.99, and the mean EQ-5D index value was 0.54 ± 0.31. The mean scores of the SF-36 PCS and MCS measures were 43.49 and 41.01 respectively. Patients reported the lowest scores on the GH and VT scales. Most patients had problems with mobility and suffered from moderate pain/discomfort. Anxiety/depression of moderate or high intensity was also a common problem. Furthermore, patients reported limited social functioning.

 

Table 2: SF-36 and EQ-5D-3L questionnaire results.

SF-36
scale

Mean value

Standard
deviation

Minimum

Maximum

PF   

54.21

27.99

0.00

100.00

RP

55.38

30.27

0.00

100.00

BP   

58.76

29.79

0.00

100.00

GH 

47.20

25.45

0.00

100.00

VT 

49.00

28.05

0.00

100.00

SF

63.00

31.13

0.00

100.00

RE 

65.50

27.17

0.00

100.00

MH 

52.15

25.86

0.00

100.00

PCS

43.49

9.48

19.90

64.31

MCS

41.01

13.58

12.46

65.38

EQ-5D-3LDimension

N = %

Mobility
No problems
Some/moderate problems
Confined to bed

 

30.0
70.0
0

Self-care
No problems
Some/moderate problems
Unable to wash or dress

 

86.0
14.0
0

Usual activities
No problems
Some/moderate problems
Unable to perform usual activities

 

53.0
43.0
4.0

Pain/discomfort
No pain/discomfort
Moderate
Extreme

 

33.0
58.0
9.0

Anxiety/depression
Not anxious/depressed
Moderately anxious/depressed
Extremely anxious/depressed

 

17.0
53.0
30.0

EQ-VAS index

61.96 (± 20.99)

EQ-5D Index (York A1 Tariff)

0.54 (±0.31)

Correlation between HRQoL and patient characteristics

Men were found to have statistically significantly better results than women on the dimension of pain/discomfort (p=0.030) of the EQ-5D questionnaire and on the scales of PF (p=0.002), RP (p=0,004), BP (p=0.002), GH (p=0.04), SF (p=0.008) and PCS (p=0.001) of the SF-36 questionnaire. Patients over 60 years-old scored better on the MSC (p=0.004).

Patients who used to exercise for more than 1.5 hours per week had higher scores on the scales of PF (p=0.000), RP (p=0.013), BP (p=0.001), GH (p=0.039), VT (p=0.001), SF (p=0.032) and the PCS (p=0.000) of the SF-36 questionnaire. They also reported higher scores on the dimensions of mobility (p=0.001), usual activities (p=0.003), and pain/discomfort (p=0.012) of the EQ-5D questionnaire, and had higher EQ-5DVAS score (67.67 vs. 58.75, p=0.041) and EQ-5Dindex (0.962 vs. 0.905, p=0.032). No significant correlation was found between HRQoL and smoking status, BMI, or history of previous myocardial infarction. Patients with a previous CABG had lower EQ-5DVAS scores (48.35).

Correlation between HRQoL, angina severity class and SPECT-MPI results

There was a negative correlation between CCS class and all scales of SF-36 questionnaire, the EQ-5DVAS score (r=-0.367, p=0.000) and the EQ-5D index (r=-0.558, p=0.000), and a highly statistically significant positive correlation with all the dimensions of the EQ-5D questionnaire. Patients with more severe angina reported lower scores on all scales of the SF-36 and all dimensions of the EQ-5D questionnaire.

The extent of ischaemia on SPECT MPI showed a mild but statistically significant inverse association with the SF scale (r=- 0.203, p=0.043) and the MCS (r=-0.201, p=0.045) of the SF-36 questionnaire. No significant correlation was detected with any of the dimensions of EQ-5D questionnaire, EQ-5D index or EQ5D VAS. Patients were subsequently classified into two groups according to the severity of ischaemia, namely those with negative SPECT MPI results or a small amount of ischaemia, and those with moderate or severe ischaemia. Similarly, no significant correlation was observed between the severity of ischaemia and the scales of the SF-36 questionnaire, the dimensions of the EQ5D questionnaire, the EQ-5D index or the EQ-5D VAS.

Furthermore, the extent of ischaemia on myocardial perfusion imaging was not found to be a significant determinant of HRQoL on multiple regression analysis. More specifically, this showed that only the CCS angina class was associated with all the dimensions of the EQ-5D and the scales of the SF-36 questionnaire, while some dimensions and scales were associated with gender, age, exercise duration and type of treatment for CΑD (Table 3) (Figure 1).

Table 3: Multivariate linear regression models on HRQoL using the EQ-5D and the SF-36 instruments.

Variable

Outcomes

 

EQ-5D VAS

EQ-5D Index

SF-36 PCS

SF-36 MCS

 

Coef

St.er

p

Coef

St.er

p

Coef

St.er

p

Coef

St.er

p

CCS class

-15.17

4.905

0.003

-0.332

0.066

0.000

-7.171

1.896

0.000

-12.674

2.882

0.000

SPECT-MPI

-2.218

4.717

0.639

-0.076

0.063

0.232

-0.756

1.824

0.680

-4.759

2.772

0.089

Age

3.708

4.854

0.447

0.073

0.065

0.263

3.068

1.877

0.106

7.675

2.851

0.009

Gender

1.620

5.495

0.769

-0.127

0.074

0.088

-6.330

2.124

0.004

-3.280

3.228

0.312

Exercise duration

 

3.641

 

4.652

 

0.436

 

0.027

 

0.062

 

0.667

 

4.370

 

1.799

 

0.017

 

-0.470

 

2.733

 

0.864

Type of treatment

 

-5.545

 

5.582

 

0.323

 

-0.159

 

0.075

 

0.036

 

-4.577

 

2.158

 

0.037

 

-3.481

 

3.280

 

0.291

BMI

-0.584

5.796

0.920

0.023

0.078

0.765

1.037

2.241

0.645

3.687

3.405

0.282

Smoking

-4.132

4.999

0.411

-0.073

0.067

0.281

-1.842

1.933

0.343

-1.715

2.937

0.561

Family status

 

-4.856

 

5.640

 

0.392

 

0.001

 

0.075

 

0.985

 

-0.684

 

2.181

 

0.755

 

-4.738

 

3.314

 

0.156

Education

-0.081

4.391

0.985

-0.064

0.059

0.278

0.780

1.698

0.647

-1.341

2.580

0.605

Previous acute MI

 

-4.107

 

4.663

 

0.381

 

0.047

 

0.066

 

0.475

 

0.043

 

1.893

 

0.982

 

0.452

 

2.877

 

0.876


Figure 1: Myocardial ischaemia causes angina in patients with stable coronary artery disease, which is significantly associated with impaired health-related quality of life assessed with the two generic questionnaires, EQ-5D-3L and SF-36. However, the extent of myocardial ischaemia on myocardial perfusion study is not correlated to the health-related quality of life of the patients.

Discussion

Assessment of HRQoL has become an integral part of the management of patients with CAD, as it is not only considered as important as life expectancy by the patients but can also predict adverse health outcomes [21]. Patients with CAD have worse cognitive, physical and psychological states compared to age-matched controls [22]. The estimated EQ-5D index and the mean values of the SF-36 PCS and MCS measures in the present study are similar to those reported in previous studies of patients with CAD [23,24] and lower than those measured in representative samples of the Greek general population [16,17]. Compared to patients with SCAD in the United States of America, patients in the present study had similar EQ-5D VAS mean score (61.96 compared to 63.4) and comparable PCS and MCS mean scores (43.49 compared to 48.9 and 41.01 compared to 36.9, respectively) but had lower mean EQ-5D index (0.54 compared to 0.73) [25]. On the contrary, EQ-5D VAS mean score was lower than the one reported in patients with ischaemic heart disease from 22 European countries (61.96 versus 66.42) [26] and compared to patients with SCAD and moderate or severe ischemia included in the ISCHEMIA trial (68.8 and 69.2 in the two patient groups) [27]. Compared to Greek patients evaluated a month post-hospitalisation for CAD, patients in the present study had lower mean EQ-5D VAS score and EQ-5D index but scored higher on most of the scales of the SF-36 questionnaire [8].

Patients with chronic stable angina report lower HRQoL in multiple domains [28]. Our findings are consistent with previous studies showing significant inverse association of angina severity to HRQoL [29,30]. Furthermore, similar to previous studies female gender and lack of exercise were associated with lower HRQoL indices [26,31,32]. The impaired HRQoL in women may be explained by a greater frequency of angina attacks, less aggressive treatment for CAD, physical inactivity, and difficulties in the management of risk factors for CAD [30].

Most of the patients had no or mild ischaemia on SPECTMPI, while the proportion of patients with moderate or severe myocardial ischaemia was low, in keeping with previous studies in patients with SCAD [33]. Overall, there was no significant correlation between HRQoL as assessed with the two generic questionnaires and myocardial ischaemia on cardiac scintigraphy. Although the extent of ischaemia on SPECT MPI showed a mild statistically significant inverse association with the SF scale and the MCS component of the SF-36 questionnaire, this significance was lost on multiple regression analysis. A previous study in 195 patients with known or suspected CAD also showed no statistically significant correlation of the SF-36 PF and GH scales to the extent of ischaemia on SPECT-MPI [10]. Moreover, in a recent study in 3003 patients with angina (23% with known CAD) HRQoL as assessed with the Seattle Angina Questionnaire had no association with the perfusion defect on SPECTMPI or Positron Emission Tomography (PET) scans [34]. In the ORBITA study, although patients with myocardial ischaemia on stress echocardiography reported less angina after percutaneous coronary intervention, there was no statistically significant interaction with HRQoL [35]. On the contrary, in the ISCHEMIA trial patients with moderate or severe ischaemia and baseline angina had improvements in HRQoL when treated with revascularisation, suggesting an association of the extent of ischaemia with HRQoL [27].

The results of the present and previous studies may be explained by the mysterious nature of angina. Angina is the tran Angina is the transient chest discomfort caused by oxygen supply and demand mismatch in the myocardium [11]. It is an unpleasant sensory and emotional experience with not entirely clear pathophysiological mechanisms. It has long been recognised that there are wide variations in the perception of angina among individuals but also in the same individual. Subsequently, there is no strong connection between stimulus intensity (extent of myocardial ischaemia) and the subjective intensity of anginal pain [36].

The present study has several limitations. First, it included patients only from one centre and there was a small representation of females, thus the results may not entirely represent the population of patients with SCAD. Furthermore, HRQoL was measured using two generic questionnaires which have been proven reliable and sensitive for the assessment of quality of life of patients with ischaemic heart disease and have been widely used in large populations of patients with CAD [26]. Although disease-specific questionnaires like the Seattle Angina Questionnaire also assess some general aspects of health, they are designed primarily to assess the functional status of patients and its association with symptoms [5]. However, diseasespecific instruments may have been more sensitive in detecting differences in quality of life of patients with CAD and possible associations with the extent of ischaemia on SPECT-MPI studies. Finally, the study may have been underpowered to detect small differences in HRQoL as the proportion of patients with severe myocardial ischaemia was low. The strengths of the study are that it included patients which represented all the spectrum of SCAD according to the recently published ESC criteria, and patients undergoing either exercise or pharmacological stress SPECT MPI. Moreover, HRQoL questionnaires were filled in immediately before testing to avoid any bias from the test results or the patients' perception of how well they performed. Finally, all the individual questionnaire scales, dimensions, as well as the summary measures were included in the statistical analysis.

Conclusion

Patients' perception of health status is associated with the subjective pain they experience in daily life as stable angina, but it is not correlated to the extent of myocardial ischaemia (Figure 1). The results of the study underscore the need for comprehensive assessment of physical and emotional health and functionality in all patients with CAD irrespective of the objectively measured amount of ischaemia on imaging studies.

Declarations

Author Contributions: Conceptualization and methodology, C.N.; formal analysis, C.N.; investigation, C.N., G.G., and E.M.; visualization, C.N., and M.R; writing—original draft preparation, C.N.; writing—review and editing, M.R., D.N., E.M., and T.D.K.

Conflict of interest: The authors declare no conflicts of interest.

Funding: This research received no external funding.

Institutional Review Board Statement: The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Scientific and Administrative Councils of AHEPA Hospital, Aristotle University of Thessaloniki, Greece (Protocol number 402/11.7.2013, 29th Administrative meeting /9.10.2013).

Informed Consent Statement: Written informed consent was obtained from all subjects involved in the study

References

  1. De Smedt D, Kotseva K, De Bacquer D, Wood D, De Backer G, et al. Cost effectiveness of optimizing prevention in patients with coronary heart disease: The EUROASPIRE III health economics project. European heart journal. 2012; 33: 2865-2872.
  2. Townsend N, Nichols M, Scarborough P, Rayner M. Cardiovascular disease in Europe epidemiological update 2015. European Heart Journal. 2015; 36: 2696-2705.
  3. Chassany O, Sagnier P, Marquis P, Fullerton S, Aaronson N, et al. For the European Regulatory Issues on Quality of Life Assessment G. Patient-Reported Outcomes: The Example of HealthRelated Quality of Life—a European Guidance Document for the Improved Integration of Health-Related Quality of Life Assessment in the Drug Regulatory Process. Drug information journal : DIJ / Drug Information Association. 2002; 36: 209-238.
  4. Bossola M, Murri R, Onder G, Turriziani A, Fantoni M, et al. Physicians’ knowledge of health-related quality of life and perception of its importance in daily clinical practice. Health and Quality of Life Outcomes. 2010; 8: 43.
  5. Thompson DR, Yu CM. Quality of life in patients with coronary heart disease-I: assessment tools. Health and quality of life outcomes. 2003; 1: 42.
  6. Antonakoudis H, Kifnidis K, Andreadis A, Fluda E, Konti Z, et al. Cardiac rehabilitation effects on quality of life in patients after acute myocardial infarction. Hippokratia. 2006; 10: 176-281.
  7. Panagopoulou E, Montgomery A, Benos A. Quality of life after coronary artery bypass grafting: Evaluating the influence of preoperative physical and psychosocial functioning. J Psychosom Res. 2006; 60: 639-644.
  8. Spiraki C, Kaitelidou D, Papakonstantinou V, Prezerakos P, Maniadakis N, et al. Health-related quality of life measurement in patients admitted with coronary heart disease and heart failure to a cardiology department of a secondary urban hospital in Greece. Hellenic Journal Of Cardiology : HJC = Hellenike kardiologike epitheorese. 2008; 49: 241-247.
  9. Ora M, Gambhir S. Myocardial Perfusion Imaging: A Brief Review of Nuclear and Nonnuclear Techniques and Comparative Evaluation of Recent Advances. Indian J Nucl Med. 2019; 34: 263-270.
  10. Mattera JA, De Leon CM, Wackers FJ, Williams CS, Wang Y, et al. Association of patients’ perception of health status and exercise electrocardiogram, myocardial perfusion imaging, and ventricular function measures. American heart journal. 2000; 140: 409- 418.
  11. Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C, Budaj A, et al. 2013 ESC guidelines on the management of stable coronary artery disease: The Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J. 2013; 34: 2949-3003.
  12. Henzlova MJ, Duvall WL, Einstein AJ, Travin MI, Verberne HJ. ASNC imaging guidelines for SPECT nuclear cardiology procedures: Stress, protocols, and tracers. J Nucl Cardiol. 2016; 23: 606-639.
  13. Dempster M, Donnelly M. Measuring the health related quality of life of people with ischaemic heart disease. Heart (British Cardiac Society). 2000; 83: 641-644.
  14. Townsend N, Nichols M, Scarborough P, Rayner M. Cardiovascular disease in Europe--epidemiological update 2015. European heart journal. 2015; 36: 2696-2705.
  15. Wu J, Han Y, Zhao FL, Zhou J, Chen Z, et al. Validation and comparison of EuroQoL-5 Dimension (EQ-5D) and Short Form-6 Dimension (SF-6D) among stable angina patients. Health and quality of life outcomes. 2014; 12: 156.
  16. Kontodimopoulos N, Pappa E, Niakas D, Yfantopoulos J, Dimitrakaki C, et al. Validity of the EuroQoL (EQ-5D) instrument in a Greek general population. Value in health: The journal of the International Society for Pharmacoeconomics and Outcomes Research. 2008; 11: 1162-1169.
  17. Pappa E, Kontodimopoulos N, Niakas D. Validating and norming of the Greek SF-36 Health Survey. Quality of life research : An international journal of quality of life aspects of treatment, care and rehabilitation. 2005; 14: 1433-1438.
  18. Greiner W, Weijnen T, Nieuwenhuizen M, Oppe S, Badia X, et al. A single European currency for EQ-5D health states. Results from a six-country study. The European journal of health economics : HEPAC : Health economics in prevention and care. 2003; 4: 222-231.
  19. Y fantopoulos J. Quality of life and QALYs in the measurement of health. Achives of Hellenic Medicine. 2001; 18: 114-130.
  20. Ware. JE. K, M., Bjorner, JB., et al. SF-36v2® Health Survey: Administration guide for clinical trial investigators. : Linkoln RI: Quality Metric Incorporated.
  21. De Smedt D, Clays E, De Bacquer D. Measuring health-related quality of life in cardiac patients. European Heart Journal - Quality of Care and Clinical Outcomes. 2016; 2: 149-150.
  22. Le J, Dorstyn DS, Mpfou E, Prior E, Tully PJ. Health-related quality of life in coronary heart disease: a systematic review and metaanalysis mapped against the International Classification of Functioning, Disability and Health. Quality of Life Research. 2018; 27: 2491-2503.
  23. Kimble LP, Dunbar SB, Weintraub WS, McGuire DB, Manzo SF, et al. Symptom Clusters and Health-related Quality of Life in Patients with Chronic Stable Angina. Journal of advanced nursing. 2011; 67: 1000-1011.
  24. Longworth L, Buxton MJ, Sculpher M, Smith DH. Estimating utility data from clinical indicators for patients with stable angina. The European journal of health economics : HEPAC : Health Economics in Prevention and Care. 2005; 6: 347-353.
  25. Xie J, Wu EQ, Zheng ZJ, Sullivan PW, Zhan L, et al. Patient-reported health status in coronary heart disease in the United States: age, sex, racial, and ethnic differences. Circulation. 2008; 118: 491-497.
  26. De Smedt D, Clays E, Annemans L, Doyle F, Kotseva K, et al. Health related quality of life in coronary patients and its association with their cardiovascular risk profile: Results from the EUROASPIRE III survey. International journal of cardiology. 2013; 168: 898-903.
  27. Spertus JA, Jones PG, Maron DJ, O’Brien SM, Reynolds HR, et al. Health-Status Outcomes with Invasive or Conservative Care in Coronary Disease. New England Journal of Medicine. 2020; 382: 1408-1419.
  28. Young JW, Jr., Melander S. Evaluating symptoms to improve quality of life in patients with chronic stable angina. Nurs Res Pract. 2013; 2013: 504915.
  29. Goldsmith KA, Dyer MT, Schofield PM, Buxton MJ, Sharples LD, et al. Relationship between the EQ-5D index and measures of clinical outcomes in selected studies of cardiovascular interventions. Health and quality of life outcomes. 2009; 7: 96.
  30. Manolis AJ, Ambrosio G, Collins P, Dechend R, Lopez-Sendon J, Pegoraro V, et al. Impact of stable angina on health status and quality of life perception of currently treated patients. The BRIDGE 2 survey. European Journal of Internal Medicine. 2019; 70: 60-67.
  31. Gijsberts CM, Agostoni P, Hoefer IE, Asselbergs FW, Pasterkamp G, Nathoe H, et al. Gender differences in health-related quality of life in patients undergoing coronary angiography. Open Heart. 2015; 2: e000231.
  32. Oreel TH, Nieuwkerk PT, Hartog ID, Netjes JE, Vonk ABA, Lemkes J, et al. Gender differences in quality of life in coronary artery disease patients with comorbidities undergoing coronary revascularization. PLoS One. 2020; 15: e0234543.
  33. Steg PG, Greenlaw N, Tendera M, Tardif J-C, Ferrari R, et al. Prevalence of Anginal Symptoms and Myocardial Ischemia and Their Effect on Clinical Outcomes in Outpatients With Stable Coronary Artery Disease: Data From the International Observational CLARIFY Registry. JAMA Internal Medicine. 2014; 174: 1651-1659.
  34. Patel K, Patel FS, Peri-Okonny P, Kennedy K, Sperry B, et al. Relationship Between Measures Of Ischemia On Myocardial Perfusion Imaging (MPI) and anginal symptoms, functional status and quality of life. Journal of the American College of Cardiology 2020; 75: 1677-.
  35. Al Lamee RK, Shun Shin MJ, Howard JP, Nowbar AN, Rajkumar C, et al. Dobutamine Stress Echocardiography Ischemia as a Predictor of the Placebo-Controlled Efficacy of Percutaneous Coronary Intervention in Stable Coronary Artery Disease: The Stress Echocardiography-Stratified Analysis of ORBITA. Circulation. 2019; 140: 1971-1980.
  36. Leach A, Fisher M. Myocardial ischaemia and cardiac pain - a mysterious relationship. Br J Pain. 2013; 7: 23-30.