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Introduction
Chronic kidney disease (CKD) is a significant healthcare burden and hurts public health due to its increasing prevalence and high costs. CKD refers to the chronic and irreversible deterioration of renal function, characterized by a glomerular filtration rate of less than 60 mL/min/1.73 m2 for over three months, irrespective of the underlying cause. It is categorized into five stages, ranging from asymptomatic stage one to end-stage renal disease (ESRD) in stage five. If left untreated, ESRD often leads to fatal outcomes [1]. Unfortunately, no prominent sign or symptom is found in CKD patients until reaching ESRD [2]. The most common cause of mortality in patients with ESRD is cardiovascular disease (CAD). The prevalence of CAD-related mortal events in ESRD patients receiving dialysis or undergoing transplantation is 20-40 times higher than the population [3, 4]. Thus, cardiac evaluation is vital for these patients, and all transplantation candidates should undergo it. Unfortunately, the use of angiography is limited in these patients, not only due to its invasiveness but also due to the prevalent nephrotoxic adverse effects of the contrast agents in this population [5]. Thus, in these patients, less invasive assessment via, for example, computed tomography angiography is not even widely applicable [6-8]. Myocardial perfusion imaging (MPI) has been in the spotlight since 1970, providing high sensitivity and specificity with a minimally invasive procedure [9-11]. In ESRD patients, De Lima et al. reported MPI sensitivity, specificity, positive predictive value, and negative predictive value of 35%, 76%, 49%, and 68%, respectively [12]. Although the reported diagnostic performance is not ideal, MPI is still the cornerstone in the cardiovascular evaluation of these patients [13]. Especially since ESRD patients cannot usually undergo or properly finish exercise-based tests, MPI with pharmacologic stress is of significant value [14]. In England, 66% of patients undergo MPI pharmacologic stress; of them, 23% and 43% receive adenosine and dipyridamole, respectively [15]. In the US, adenosine is the most commonly used drug for this purpose [16, 17]. Both these drugs are classified as vasodilators, which relax the smooth muscles and increase blood flow in the coronary arteries. However, since the diseased vessel cannot be dilated as much as the normal vessels, perfusion is relatively decreased, which can be visualized using MPI [18]. Several parameters can be evaluated using MPI, including the heart response rate (HRR). Blunted HRR in the dipyridamole stress test, which is correlated with MPI findings, is defined as a rest heart rate (HR)/peak HR ratio equal to or <1/20, or defined as Equation 1:
1. (peak HR–rest HR)/rest HR
ratio equal to or <28%. However, previous studies on HRR were mostly conducted in diabetic patients. This study was conducted to evaluate HRR in ESRD patients and its correlation with MPI findings and patients’ prognosis.
Materials and Methods
This cross-sectional study included ESRD patients who underwent MPI from September 2011 to September 2019 in our referral clinic. Patients were undergoing dialysis or had received renal transplantation. The exclusion criteria included patients diagnosed with second or third-degree cardiac block, diabetes, asthma, chronic obstructive pulmonary disease, or sick sinus syndrome, and patients with a documented ejection fraction (EF) of less than 25% or CAD in their history. All included patients signed informed consent.
A detailed clinical history was obtained from each patient. Their blood pressure and HR were documented at the rest phase. Dipyridamole (approximately 0.56 mg/kg) in 20 mL 0.9% saline solution was intravenously injected slowly for four minutes and under electrocardiogram (ECG) monitoring. After initiating the Dipyridamole injection, the patient’s HR was documented every two minutes for 30 minutes. Three minutes after the termination of the dipyridamole injection, radiotracer (99mTc-MIBI) was injected. In case of any side effect after dipyridamole injection, aminophylline (approximately 100 mg) was injected at least one minute after 99mTc-MIBI intravenously.
Image acquisition
Interpretation
Both ECG findings and MPI images were considered in the patients’ assessment.
A positive ECG was defined as: 1) Incidence of cardiac arrhythmia; 2) New presentation of ischemic T-wave; 3) ST segment changes: Horizontal ST depression; downward ST depression; ST elevation; MPI results were defined as: 1) Normal: No reversible stress-induced visualized defect in the myocardium; 2) Ischemia: Decreased perfusion in the stress phase, which showed improvement in the rest phase; 3) Fixed defect: Severely decreased or absence of perfusion in the stress phase with a more or less similar appearance on the rest phase images; 4) Fixed defect+ischemia: Finding both 2 and 3 criteria in a scan.
Peak stress HR was defined as the highest HR documented 4-8 minutes after the initiation of the dipyridamole injection. HRR was defined as Equation 2:
2.
For the left myocardium’s perfusion evaluation, each myocardial segment was scored using a previously denoted 5-scale scoring [19]. For each scan, the summed stress score (SSS) and the summed rest score (SRS) were calculated by adding the numbers derived from each segment in the stress and rest phases, respectively. Abnormal perfusion was defined as SSS>3 [20]. SSS>3, >8 and >13 were defined as mild, moderate, and severe, respectively [19]. The summed difference score (SDS) was calculated as (SSS-SRS), and a reversible defect was defined as SDS>1 [19]. EF was calculated using QGS software, version 3.36.2 [19]. EF<45% was considered abnormal global function impairment. SSS ≤3, SDS≤1, and EF ³45% were defined as being at risk [19]. All interpretations were made by two nuclear medicine specialists in consensus.
The data from the present study were used for qualitative analysis, utilizing the chi-square test to compare both within and between groups. Data were analyzed using SPSS software, version 22. The significance level for this study was set at 0.05.
Results
A total of 169 patients, including 107 men (63%) and 62 women (37%) were considered eligible to enter the study. From them, 70 men (59%) and 49 women (41%) showed blunted HRR (Figure 1).
Among the studied factors, gender was not associated with the blunted HRR (P=0.06). In the male gender-specific analyses, a significant relationship was observed between EF and blunted HRR (P=0.02). No significant relationship was found between blunted HRR and SSS (P=0.88), SDS (P=0.53) and SRS (P=0.28). In female patients, a relationship was observed between SSS and blunted HRR (P=0.02). However, SDS (P=0.51), SRS (P=0.23), and EF (P=0.43) were not associated. Table 1 presents the details.
We categorized patients based on their age into less and more than 50 years old. In our included population, 67 patients (40%) and 102 patients (60%) aged less and more than 50, respectively. In the young population (<50 y), 41 patients (61%) were diagnosed with blunted HRR, while in the old population (>50 y), 78 patients (76%) showed blunted HRR (P=0.03). No significant relationship was observed between blunted HRR and SSS, SRS, SDS and EF in both populations (P>0.05). Table 2 presents the details.
In the next step, we classified ESRD patients based on their disease duration, <3< years. Among the studied patients, 72 patients (40%) were diagnosed with ESRD within 3 years, while 97 patients (60%) were diagnosed for more than 3 years. No significant difference was found between these two groups in terms of blunted HRR incidence (P=0.56). Also, no significant relationship was observed among other studied parameters (P>0.05). Table 3 presents the details.
In the male population, no significant correlation was observed between blunted HRR and ischemia (P=0.87) or infarction (P=0.34). In the female population, similar results (P of 0.09 and 0.45, respectively) were observed. In the old/young and long-term/short-term ESRD subgroups, no significant relationship was observed (P>0.05). Table 4 presents the details.
Discussion
Most ESRD mortal events are related to CAD. The prevalence of cardiac-related deaths in this population is significantly higher than in the normal population, reported to be up to 40 times higher [3]. Our study reported the epidemiology of blunted HRR and its associated factors in MPI for the first time in Iran. Due to the confounding effect of diabetes, we excluded these patients from our study. However, some with pre-diabetic status remained eligible. We found no significant correlation between blunted HRR and gender. Also, the duration of ESRD status was not correlated with blunted HRR. However, when age groups (>50 y vs <50 y) were compared, blunted HRR was significantly associated with an age over 50 years. Al Jaroudi et al. [20] studied the prognostic value of HRR in MPI with vasodilator stress in ESRD patients after renal transplantation [21]. They reported that blunted HRR is significantly correlated with increased major cardiovascular events in the first month after transplantation. This was contrary to our results. Regarding our other result in the male population, Lima et al. also reported a correlation between blunted HRR and decreased EF post-dipyridamole injection [21]. Like us, they also reported that major cardiovascular events and the duration of the renal disease were not correlated with blunted HRR. In another study, De Lorenzo et al. classified 303 patients with CKD into two groups with and without blunted HRR [21]. They found no significant difference in the mortality rate and MPI results (SSS, SRS, and SDS) between the two groups. Lastly, Gorur et al. reported that blunted HRR in the Dipyridamole stress test was correlated with cardiac autonomic neuropathy and ventricular dysfunction, which can be a good justification [22]. This study had some limitations, the most prominent one was its retrospective nature. Thus, further studies with cohort design and long-term follow-up may validate the results. Also, we could not perform survival analyses, which is a crucial issue in CAD. Lastly, the COVID-19 epidemic affected our study adversely and limited our study population.
Conclusion
The results of our study indicate no significant relationship between blunted HRR and major cardiovascular events, disease duration, gender, or MPI parameters in patients with ESRD. However, we found no correlation between blunted HRR and low EF (<45%) and older age (over 50 years). Additionally, in female patients, a significant difference was observed between blunted HRR and SSS. Our study provides the first epidemiological evaluation of blunted HRR in ESRD patients, which can potentially enhance local decision-making guidelines.
Ethical Considerations
Compliance with ethical guidelines
This study has been approved by the Ethics Committee of the Iran University of Medical Sciences (Code: IR.IUMS.FMD.REC.1400.006).
Funding
This research did not receive any grant from funding agencies in the public, commercial, or non-profit sectors.
Authors' contributions
All authors participated equally in the design, execution, and writing of all parts of this research.
Conflict of interest
The authors declared no conflict of interest.
Acknowledgments
The authors are grateful to the Vice-Chancellor for Research and Technology of Iran University of Medical Sciences, the Vice Chancellor for Research, School of Medicine, and the Clinical Research Development Unit of Heart Research Center.
References
1. Ix JH, Sharma K. Mechanisms linking obesity, chronic kidney disease, and fatty liver disease: The roles of fetuin-A, adiponectin, and AMPK. J Am Soc Nephrol. 2010; 21(3):406-12. [DOI:10.1681/ASN.2009080820] [PMID] [PMCID] [
DOI:10.1681/ASN.2009080820]
2. Meguid El Nahas A, Bello AK. Chronic kidney disease: The global challenge. Lancet. 2005; 365(9456):331-40. [DOI:10.1016/S0140-6736(05)17789-7] [PMID] [
DOI:10.1016/S0140-6736(05)17789-7]
3. Targher G, Mantovani A, Pichiri I, Mingolla L, Cavalieri V, Mantovani W, et al. Nonalcoholic fatty liver disease is independently associated with an increased incidence of chronic kidney disease in patients with type 1 diabetes. Diabetes Care. 2014; 37(6):1729-36. [DOI:10.2337/dc13-2704] [PMID] [
DOI:10.2337/dc13-2704]
4. Bonora E, Targher G. Increased risk of cardiovascular disease and chronic kidney disease in NAFLD. Nat Rev Gastroenterol Hepatol. 2012; 9(7):372-81. [DOI:10.1038/nrgastro.2012.79] [PMID] [
DOI:10.1038/nrgastro.2012.79]
5. Kroneberger C, Enzweiler CN, Schmidt-Lucke A, Rückert RI, Teichgräber U, Franiel T. Contrast-induced nephropathy in patients with chronic kidney disease and peripheral arterial disease. Acta Radiol Open. 2015; 4(6):2058460115583034.[DOI:10.1177/2058460115583034] [PMID] [PMCID] [
DOI:10.1177/2058460115583034]
6. Ell PJ, Gambhir SS. Nuclear medicine in clinical diagnosis and treatment. J Nucl Med. 2005; 46(8):1402-3. [Link]
7. Ziessman HA, O'Malley JP, Thrall JH. Nuclear medicine: The requisites e-book. Edinburgh: Elsevier Health Sciences; 2013. [Link]
8. Hannoush H, Shaar K, Alam S, Nasrallah A, Sawaya J, Dakik HA. Analysis of referral patterns, predictive accuracy, and impact on patient management of myocardial perfusion imaging in a new nuclear cardiology laboratory. J Nucl Cardiol. 2003; 10(2):148-53. [DOI:10.1067/mnc.2003.397] [PMID] [
DOI:10.1067/mnc.2003.397]
9. Kumar R, Patel CD, Marwah A, Gupta R, Sharma S, Malhotra A. Detection of coronary artery disease by stress thallium scintigraphy in diabetic patients. Nucl Med Commun. 2001; 22(3):287-9. [DOI:10.1097/00006231-200103000-00005] [PMID] [
DOI:10.1097/00006231-200103000-00005]
10. Kamínek M, Myslivecek M, Skvarilová M, Weinbergová O, Metelka R, Husák V, et al. [Prognostic significance of stress tomographic scintigraphy of myocardial perfusion in diabetic patients (Czech)]. Vnitr Lek. 2001 Nov;47(11):739-43. [PMID]
11. Giri S, Shaw LJ, Murthy DR, Travin MI, Miller DD, Hachamovitch R, et al. Impact of diabetes on the risk stratification using stress single-photon emission computed tomography myocardial perfusion imaging in patients with symptoms suggestive of coronary artery disease. Circulation. 2002; 105(1):32-40. [DOI:10.1161/hc5001.100528] [PMID] [
DOI:10.1161/hc5001.100528]
12. De Lima JJ, Sabbaga E, Vieira ML, de Paula FJ, Ianhez LE, Krieger EM, et al. Coronary angiography is the best predictor of events in renal transplant candidates compared with noninvasive testing. Hypertension. 2003; 42(3):263-8. [DOI:10.1161/01.HYP.0000087889.60760.87] [PMID] [
DOI:10.1161/01.HYP.0000087889.60760.87]
13. Kamal A, Hassan E, Azab S, Abdelaaty A. Reduced Heart Rate Response during Drug-Induced Stress Is Related to the Severity of Perfusion Defect. World J Cardiovasc Dis. 2021; 11(11):539-51. [DOI:10.4236/wjcd.2021.1111051] [
DOI:10.4236/wjcd.2021.1111051]
14. Hendel RC, Berman DS, Di Carli MF, Heidenreich PA, Henkin RE, Pellikka PA, et al. ACCF/ASNC/ACR/AHA/ASE/SCCT/SCMR/SNM 2009 appropriate use criteria for cardiac radionuclide imaging: A report of the american college of cardiology foundation appropriate use criteria task force, the American society of nuclear cardiology, the American college of radiology, the American heart association, the American society of echocardiography, the society of cardiovascular computed tomography, the society for cardiovascular magnetic resonance, and the society of nuclear medicine. J Am Coll Cardiol. 2009; 53(23):2201-29. [DOI:10.1016/j.jacc.2009.02.013] [PMID] [
DOI:10.1016/j.jacc.2009.02.013]
15. Prvulovich E, Metcalfe MJ. Nuclear cardiology in the UK: Activity and practice 1997. Eur J Nucl Med Mol Imaging. 2002; 29(4):553-8. [DOI:10.1007/s00259-001-0729-6] [PMID] [
DOI:10.1007/s00259-001-0729-6]
16. Andrus BW, Welch HG. Medicare services provided by cardiologists in the United States: 1999-2008. Circ Cardiovasc Qual Outcomes. 2012; 5(1):31-6. [DOI:10.1161/CIRCOUTCOMES.111.961813] [PMID] [
DOI:10.1161/CIRCOUTCOMES.111.961813]
17. Zakavi SR. [Nuclear cardiology in Iran in 2002 (Persian)]. Iran J Nucl Med. 2004; 12(1):73-7. [Link]
18. Bonow RO, Mann DL, Zipes DP, Libby P. Braunwald's heart disease e-book: A textbook of cardiovascular medicine. Edinburgh: Elsevier Health Sciences; 2011. [Link]
19. Mathur S, Shah AR, Ahlberg AW, Katten DM, Heller GV. Blunted heart rate response as a predictor of cardiac death in patients undergoing vasodilator stress technetium-99m sestamibi gated SPECT myocardial perfusion imaging. J Nucl Cardiol. 2010; 17(4):617-24. [DOI:10.1007/s12350-010-9242-2] [PMID] [
DOI:10.1007/s12350-010-9242-2]
20. AlJaroudi W, Anokwute C, Fughhi I, Campagnoli T, Wassouf M, Vij A, et al. The prognostic value of heart rate response during vasodilator stress myocardial perfusion imaging in patients with end-stage renal disease undergoing renal transplantation. J Nucl Cardiol. 2019; 26(3):814-22. [PMID] [
DOI:10.1007/s12350-017-1061-2]
21. Aaty A, El-DeenZaky A, Lotfy M, Fathy A. Heart rate response to dypiridamole stress in relation to perfusion and function during gated technecium Tc99 M sestamibi spect study. J Cardiol Curr Res. 2015; 2(3):00063. [DOI:10.15406/jccr.2015.02.00063] [
DOI:10.15406/jccr.2015.02.00063]
22. De Lorenzo A, Lima RS. Influence of chronic renal failure on the heart rate response to dipyridamole in patients undergoing myocardial perfusion SPECT. J Nucl Cardiol. 2008; 15(2):193-200. [DOI:10.1016/j.nuclcard.2007.10.006] [PMID] [
DOI:10.1016/j.nuclcard.2007.10.006]
23. Gorur GD, Ciftci EA, Kozdag G, Isgoren S, Oc MA, Haksal C, et al. Reduced heart rate response to dipyridamole in patients undergoing myocardial perfusion SPECT. Ann Nucl Med. 2012; 26(8):609-15. [DOI:10.1007/s12149-012-0618-z] [PMID] [
DOI:10.1007/s12149-012-0618-z]