Abstract
Purpose
Heart failure (HF) is a primary cause of morbidity and mortality worldwide, with significant impact on life quality and extensive healthcare costs. Assessment of myocardial sympathetic innervation function plays a central role in prognosis assessment in HF patients. The aim of this review is to summarize the most recent evidence regarding the clinical applications of iodine-123 metaiodobenzylguanidine (123I-MIBG) imaging in patients with HF and related comorbidities.
Methods
A comprehensive literature search was conducted on PubMed and Web of Science databases. Articles describing the impact of 123I-MIBG imaging on HF and related comorbidities were considered eligible for the review.
Results
We collected several data reporting that 123I-MIBG imaging is a safe and non-invasive tool to evaluate dysfunction of cardiac sympathetic neuronal function and to assess risk stratification in HF patients. HF is frequently associated with comorbidities that may affect cardiac adrenergic innervation. Furthermore, HF is frequently associated with comorbidities and chronic conditions, such as diabetes, obesity, kidney disease and others, that may affect cardiac adrenergic innervation.
Conclusion
Comorbidities and chronic conditions lead to more severe impairment of sympathetic nervous system in patients with HF, with a negative impact on disease progression and outcome. Cardiac imaging with 123I-MIBG can be a useful tool to reduce morbidity and prevent adverse events in HF patients.
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Introduction
Heart failure (HF) is a clinical syndrome, characterized by structural and/or functional alterations of the heart resulting in not adequate cardiac output at rest and/or during exercise. To date, the incidence of HF in Europe is about 5/1000 person per year in adults, with a prevalence of 1–2% that increases with age [1]. HF is a primary cause of mortality worldwide, with significant impact on life quality, and extensive healthcare costs. Despite the advances in HF therapies in the past 20 years, long-term prognosis in HF remains poor [2]. In HF patients, the most widely recognized compensatory mechanism is the activation of neurohormonal systems, such as the sympathetic nervous system (SNS) and the renin–angiotensin–aldosterone system (RAAS). Although initially activation of neurohormonal systems improves impaired myocardial function, long-term sympathetic hyperactivity generates additional damage to the heart, thus leading to harmful myocardial remodeling, decline in left ventricular function, and further progression of the disease [3]. Patients with HF display increased levels of norepinephrine (NE), due to altered neuronal release and reuptake [4]. Figure 1 provides a graphical representation of sympathetic innervation in HF.
Imaging with iodine-123 metaiodobenzylguanidine (123I-MIBG), a radiolabeled analog of NE, is currently used as a safe and non-invasive tool to evaluate dysfunction of cardiac sympathetic neuronal function and to assess risk stratification and prognosis in HF patients [5]. After injection, 123I-MIBG uptake provides, over several hours, a measure of the integrity and function of myocardial sympathetic innervation [2]. Moreover, a strong interplay between cardiac sympathetic dysfunction investigated by 123I-MIBG imaging and hemodynamic changes during stress test has been demonstrated in patients with suspected or known coronary artery disease (CAD) undergoing myocardial perfusion imaging [6]. Semiquantitative parameters of 123I-MIBG uptake, such as the heart-to-mediastinum (H/M) ratio and washout rate (WR), indicators of autonomic dysfunction, demonstrated prognostic value in patients with HF [7]. As showed by the AdreView Myocardial Imaging for Risk Evaluation in Heart Failure (ADMIRE-HF) study, reduced late H/M ratio and/or increased 123I-MIBG washout rate is associated with HF progression, increased incidence of lethal cardiac events, and implantable cardiac device (ICD) discharges [8].
HF is frequently associated with comorbidities and chronic conditions, such as diabetes, obesity, kidney dysfunction, and sleep-disordered breathing (SDB), that may affect cardiac adrenergic innervation, with a negative impact on disease progression and outcome [9]. In addition, cardiac 123I-MIBG single photon emission tomography (SPECT) imaging may also provide prognostic data in non-ischemic acute decompensated HF patients and preserved ejection fraction (HFpEF) [10, 11].
The aim of this review is to summarize the most recent evidence regarding the clinical applications of 123I-MIBG imaging in patients with HF and related comorbidities.
Methods
This narrative review involved keyword searches of PubMed and Web of Science. Review search terms included [“MIBG” OR “Sympathetic”] AND [“Heart Failure” OR “HF”] in all fields.
The databases were searched without any restrictions from inception to 01 May 2022. Two authors separately examined the titles and abstracts of all obtained publications to exclude clearly unrelated research. No language restrictions were applied. References of the provided articles were also examined to find out any additional relevant studies. Studies included in the review met the following criteria: (A) published on a peer-reviewed journal; (B) described the impact of 123I-MIBG on HF and its comorbidities; and (C) were opinion papers, guidelines, case studies, descriptive studies, randomized control trial, prospective studies, retrospective studies, narrative reviews, and systematic reviews. Search process is shown in Supplementary Fig. 1.
123I-MIBG imaging in HF associated to insulin resistance and diabetes
Insulin resistance (IR) is a condition characterized by an impaired biologic response of target tissues, such as the liver, muscle, and adipocytes, to insulin stimulation, leading to the compensatory increase in insulin production by beta-cell and impairment of homeostasis systems (hyperinsulinemia, hyperglycemia, hypertension etc.) [12]. Hyperinsulinemia, which is associated to IR, promotes sympathetic neural activity in normal humans [13], and insulin-resistant patients with essential hypertension and normal left ventricular (LV) function have been shown to have impaired cardiac sympathetic innervation [14]. IR progression can lead to the development of type 2 diabetes mellitus (T2DM) that is a well-established risk factor for the incidence of HF [15] and represents a common comorbidity with an estimated prevalence of 30–40% [16]. T2DM is involved in the progression and worsening of symptomatic and asymptomatic HF patients, and it is associated with higher risk of hospitalization and mortality [16]. T2DM is the most common cause of autonomic neuropathy, interesting all types of nerve fibers in the organism. If the parasympathetic system is involved, diabetic patients develop cardiovascular (CV) autonomic neuropathy that is characterized by reduced heart rate variability and/or orthostatic hypotension [17].
The coexistence of HF and IR or diabetes is a poor prognostic factor, and it is associated with a more severe and aggressive HF with reduced ejection fraction (HFrEF), characterized by higher morbidity and mortality [18]. The damaging effects of IR and T2DM in patients with HF are multiple, and they include the direct effects on microvascular circulation, the impairment of regional myocardial blood flow and coronary flow reserve, cellular injuries, dysfunctions in the contraction, and release of muscle cells, and the activation of neurohormonal systems. All these functional, metabolic, and structural alterations contribute to the progression and worsening of HF [19].
Several studies have demonstrated the presence of alteration of cardiac autonomic stimulation in subjects with HF and comorbidities, such as IR and T2DM, with evaluation of the cumulative effect of these comorbidities on cardiac autonomic dysfunction and the possible effect on the stage of the disease and on the prognosis.
Patients with T2DM and without HF have been shown to have a significant reduction in 123I-MIBG uptake, most likely based on diabetic neuropathy, which is correlated with worse prognosis [20]. One of the first study reporting the impact of T2DM on cardiac sympathetic activity was conducted in diabetic patients with HF enrolled in the ADMIRE-HF trial. In this population, a reduced 123I-MIBG H/M ratio (< 1.6), indicating cardiac sympathetic denervation, was associated with greater HF progression [21]. These evidences emphasize that alterations studied with 123I-MIBG imaging are not only descriptive, but they also represent independent prognostic factors. Accordingly, Paolillo et al. reported a significantly increased impairment in cardiac sympathetic innervation in diabetic patients with chronic, severe systolic HF compared to both non-diabetic HF subjects and diabetic patients without HF [22]. An interesting finding from this study was that, among diabetic HF patients, the reduction in cardiac sympathetic activity was correlated to glycemic control, assessed by hemoglobin A1c.
Similar results have been found in a population of non-diabetic HF patients with IR. Compared to matched non-IR subjects, patients with IR showed a significantly reduced early and late H/M ratio, thus suggesting impaired cardiac sympathetic innervation and a more advanced stage of the disease [23]. Although these findings demonstrated a strong interaction between IR, HF, and cardiac SNS, further studies are needed to elucidate the underlying pathophysiological processes. Figure 2a and b show representative examples of 123I-MIBG innervation images in a diabetic and non-diabetic patient with HF.
123I-MIBG imaging in HF associated to metabolic syndrome and obesity
Metabolic syndrome (MS) is a clinical condition with a prevalence of approximately 34% in the general population [24]. It is characterized by a cluster of interrelated metabolic risk factors that are associated with the development of CV diseases, including HF.
In particular, the most widely recognized risk factors that negatively affect disease progression are elevated blood pressure, IR, lipid abnormalities, and obesity [25]. According to the NCEP ATP III criteria, MS occurs if three or more of the following conditions coexist in the same patient: increased waist circumference; elevated triglycerides levels (> 150 mg/dL); reduced high-density lipoprotein (< 40 mg/dL in men or < 50 mg/dL in women); elevated fasting glucose (> 110 mg/dL); blood pressure values over 130/85 mmHg [26].
MS is frequently present in patients with HF, and it is associated with the activation of several molecular, cellular, and neurohormonal pathways that may affect prognosis [19]. IR and obesity represent predominant risk factors associated to the development of MS and are characterized by a marked sympathetic overactivity related to increase HF through several different mechanisms [27].
Several evidences have clearly shown that sympathetic activity is increased in human obesity.
A study conducted by Pellegrino and coworkers investigated the impact of obesity and the influence of the acquisition protocol on 123I-MIBG imaging indexes of cardiac sympathetic innervation, in patients with HF. They found a significant reduction of early and late H/M ratios in obese HF patients, compared to non-obese subjects, both in supine and prone positions [28]. A significant reduction in cardiac adrenergic innervation has been also reported by Komici et al. in obese patients with HF. Results of this study revealed that BMI, together with age and LVEF, was significantly correlated with reduced early and late H/M ratios in HF [29]. Recent studies have also indicated a close interdependence between epicardial adipose tissue (EAT), which represents the visceral fat depot of the heart, and myocardial autonomic function. In this context, a recent study by Parisi et al. explored the relationship between EAT thickness and sympathetic activity, assessed by cardiac 123I-MIBG imaging. In particular, the authors demonstrated that, in patients with systolic HF, increased EAT thickness represents a source catecholamines production and is correlated to cardiac sympathetic denervation and disease progression [30]. Furthermore, abdominal obesity but not general obesity has been associated with low early and late H/M ratio in HF patients with preserved ejection fraction. These results suggest that abdominal obesity is involved in sympathetic nerve abnormalities related to HF and loss of visceral fat should be considered part of a multifactorial and multidisciplinary strategy in the treatment of HF patients [31]. Figure 3a and b show representative examples of 123I-MIBG images in HF patients with (BMI = 44.1) and without obesity (BMI = 22).
123I-MIBG imaging in HF associated to chronic kidney disease
Cardiac and renal diseases are common conditions that frequently coexist in the same patient, thus significantly increasing morbidity, mortality, and the healthcare cost [32]. Chronic kidney diseases are widely recognized risk factors for the incidence and progression of CV diseases and HF [33]. Impairment in kidney function, defined by reduced creatinine clearance and glomerular filtration rate (GFR), has been associated with heightened risk of hospitalization and death in patients with chronic HF with both preserved and reduced ejection fraction [34]. The term cardio-renal syndrome is usually referred to a pathophysiological condition characterized by combined cardiac and renal dysfunction. The excessive activation of neurohormonal compensatory mechanisms, such as the SNS and the RAAS, has been implicated in many ways in the progression of cardio-renal syndrome, thus contributing to adverse outcomes in these patients [35]. As previously mentioned, HF is characterized by reduced cardiac autonomic innervation, which can be visualized by 123I-MIBG myocardial scintigraphy. Notably, in patients with renal dysfunction, sympathetic hyperactivity has been also reported and it has associated with tubular damage, reactive oxygen species formation, and renal fibrosis [32].
In this context, several studies have been conducted to evaluate the relationship between renal diseases and cardiac adrenergic impairment, assessed by 123I-MIBG imaging. In chronic HF patients, impaired cardiac sympathetic innervation assessed by 123I-MIBG activity has been associated with reduced kidney function and increased risk of cardiac death [36]. Accordingly, Verschure and colleagues investigated the different predictive potentials of 123I-MIBG imaging and GFR on outcomes in patients with chronic HF and found that 123I-MIBG scintigraphy was a better predictor of cardiac death, compared to the evaluation of renal function [37]. In a subsequent study, Malhotra et al. found a prevalence of cardiac sympathetic dysfunction in patients with both HF and renal dysfunction. However, among HF patients in the same NYHA class, no difference was observed in terms of H/M ratio between patients with and without renal dysfunction. Of note, patients with highly impaired renal function were not included in that study [38]. More recently, Marsico et al. showed that, in a population of 263 patient with mild-to-severe HF, 123I-MIBG uptake was significantly reduced in HF patients with severely impaired renal function compared to HF subjects with preserved renal function [39]. Furthermore, the combination of chronic kidney dysfunction and impaired cardiac sympathetic nervous activity, assessed by 123I-MIBG scintigraphy, has been shown to have a high prognostic value in the prediction of lethal arrhythmic events in HF patients [40]. In conclusion, these results suggest that impaired cardiac sympathetic innervation might contribute to worsen prognosis in patients with HF and concomitant renal dysfunction.
123I-MIBG imaging in HF and aging
Cardiac dysfunction and HF are very common in the elderly population, thus drastically affecting survival rate and quality of life. A salient characteristic of the failing heart, as well as the aged heart, is the deregulation of the SNS that is associated to disease progression and poor prognosis [41].
123I-MIBG imaging has been widely used to assess cardiac sympathetic innervation and to predict the prognosis, in both HF and aging. Physiological aging is characterized by impaired CV function and SNS hyperactivity, which results in increased circulating levels of catecholamines and decreased cardiac β-adrenergic receptor responsiveness in the elderly population [42]. Several studies have investigated the effect of age on cardiac innervation by assessing myocardial 123I-MIBG uptake, and they have reported conflicting results. It has been demonstrated that 123I-MIBG uptake is inversely related to age in subjects without CV disease [43, 44], suggesting that age should be considered when assessing cardiac innervation with 123I-MIBG imaging. Conversely, a more recent study by Jacobson and colleagues has failed to find significant correlation between age and cardiac 123I-MIBG uptake in old healthy individuals [45]. In 2016, Rengo et al. investigated for the first time the impact of age on cardiac sympathetic innervation in patients with systolic HF. In a population of 180 HF patients, the authors found a significant reduction in 123I-MIBG uptake in elderly compared to younger patients [46]. These findings suggest that the age-related effects on cardiac sympathetic innervation should be considered in patients with HF.
123I-MIBG imaging in HF associated to SDB
Previous studies have demonstrated that SDB is a common comorbidity in patients with HF, both in form of obstructive sleep apnea (OSA) and central sleep apnea (CSA), with a significant impact on disease progression and prognosis. Adverse effects of SDB in HF are mostly mediated by increased sympathetic stimulation that contributes to high morbidity and mortality rates [47]. In patients with OSA, disordered breathing events, including recurrent apneas, hypoxia, and arousal, are associated to increased chemoreflex-mediated adrenergic outflow that persists also into the daytime [48]. Similarly, in patients with HF and CSA, a further increase in resting sympathetic activity has been reported during apnea episodes that is associated to reflex hyperventilation [49].
In addition, it has been demonstrated that ventilatory therapy is able to reduce SNS activity and improve prognosis in patients with HF and SDB [50]. Scala et al. demonstrated that patients with chronic systolic HF showed high prevalence (77%) of SDB, and this condition was associated with significant lower values of H/M ratios, thus suggesting a chronic increase in cardiac sympathetic stimulation [51]. Furthermore, in this study SDB and cardiac sympathetic innervation parameters contributed to predict CV outcome and HF hospitalization; indeed, a worse prognosis was observed in patients with altered H/M ratio and moderate–severe SDB [51]. Accordingly, adaptive servo-ventilation, a novel therapy for sleep disorders, has been shown to improve cardiac function in HF patients. Indeed, in 123I-MIBG imaging early H/M ratio was increased after 6 months of treatment with adaptive servo-ventilation, without changing the washout rate [52]. Thus, the present findings underline an important contribution of SDB to adrenergic impairment in HF. Therefore, assessment of SDB should be included in the evaluation of patients with HF, in order to better predict clinical outcome.
123I-MIBG imaging in HF and Parkinson’s disease
Parkinson’s disease (PD) is the second most common neurodegenerative disease, affecting approximately 1% of the elderly population, with a prevalence increasing with age [53].
At a molecular level, PD is characterized by the degeneration of dopaminergic nerve cells in the substantia nigra and by the accumulation of α-synuclein in Lewy bodies [53].
HF has been found to be a common comorbidity and the third leading cause of death in PD patients. Nevertheless, the causes of increased prevalence of HF in patients suffering from PD are currently unknown [54]. In this context, several studies have been conducted to evaluate the prognostic and diagnostic role of cardiac 123I-MIBG imaging in the diagnosis of PD, especially in the early stages [55]. Indeed, cardiac 123I-MIBG uptake has been shown to be reduced in patients with Lewy body diseases, including PD, thus representing a useful tool to differentiate PD from other parkinsonisms [56].
The standardized technique for 123I-MIBG scintigraphy includes the evaluation of an early and delayed acquisition (15 min and 4 h after injection). Recently, Frantellizzi et al. demonstrated a potential role of an immediate (5 min) or early (15 min) planar 123I-MIBG imaging in patients with PD. This result was not found in patients with HF, in which late acquisition was confirmed to be the best timing for image interpretation, thus underlying the different pathophysiology of these diseases [57].
Clinical manifestations of PD comprise a wide spectrum of non-motor symptoms, including CV autonomic dysfunctions [58]. Cardiac sympathetic denervation, assessed by 123I-MIBG imaging, has been found in patients with PD since the early stages of the disease and might have a negative impact on long-term CV outcome [59, 60]. These results suggest that assessment of myocardial sympathetic innervation through 123I-MIBG imaging can have a prodromal role in the identification of early PD.
Multiple comorbidities and cardiac innervation
Aging and several comorbidities, including T2DM, obesity, CKD, and SDB, are known to be independently associated with reduced cardiac sympathetic innervation. However, a meta-analysis by Steinberg and colleagues has analyzed the efficacy of ICD therapy in patients with systolic HF and related comorbidities, demonstrating that, in the presence of significant comorbid illness, the benefit of this therapeutic approach on survival is considerably attenuated [61]. In accordance, it has been shown that in patients with systolic HF, benefit of primary therapy with ICD, in terms of survival, was limited in the high-risk groups [62]. A recent study of Bencivenga et al. documented that the number of concomitant pathologies does not influence 123I-MIBG parameters of cardiac innervation, including late H/M ratio, as it is evident from the results of the regression analysis, which also included age, gender, BMI, and LVEF as independent variables [63]. However, a further study by Kayama et al. has shown that cardiac 123I-MIBG imaging could provide additional prognostic information over the comorbid burden, in patients with acute decompensated HF [64].
Since cardiac 123I-MIBG uptake has been demonstrated to improve the cost-effectiveness screening of ICD guideline–eligible HF patients and risk stratification of high-risk patients, aging and comorbidities are variables that may potentially identify those HF patients at highest risk. It should be considered that low-dose assessment of simultaneous perfusion and innervation imaging [65] could provide the possibility to evaluate the mismatch perfusion/innervation area as an important variable in the identification of high-risk patients. A representative example of 99mTc-sestamibi/123I-MIBG dual isotope acquisition in a patient with HF and mild reduction of LVEF is shown in Fig. 4. In this patient, a mismatch area involving 10% of the left ventricle was observed, as index of impaired sympathetic innervation and preserved perfusion. The measurement of perfusion/innervation mismatch represents a key step in the prognosis assessment, as it has been demonstrated that these mismatch areas are triggers of ventricular arrhythmias and may be used as potential therapeutic targets. However, several evidences indicate that HF patients with multiple comorbidities are at high risk of all-cause mortality but are less likely to die for sudden cardiac death (SCD) and/or to receive benefits form ICD therapy. Therefore, since myocardial denervation is known to increase the arrhythmic risk in HF patients, these results may be consistent with the observation that an elevated number of comorbidities attenuates the benefit of ICD therapy in HF patients.
Discussion
123I-MIBG imaging has been proven to be a useful and non-invasive tool to evaluate cardiac innervation impairment, to assess disease progression, and to stratify prognosis in patients with HF and related comorbidities. In recent years, research has been focused on the use of this tool to diagnose, evaluate the stage, and understand the pathophysiological processes underlying HF. The current guidelines recommend ICD implantation for the prevention of SCD in patients with HF and significantly reduced LVEF (< 35%) [1]. However, implantation of these devices does not improve cardiac function or symptoms and creates an additional burden for recipient patients, including a series of device-related complications and adverse events. On the other hand, current indication to ICD implantation does not adequately identify some patients with a moderate reduction of LVEF (> 35%) at risk for SCD [66]. In this context, cardiac 123I-MIBG imaging has emerged as a helpful tool in the screening of HF patients eligible for ICD implantation and in the prediction of subjects who might not benefit from device implantation [67]. Recently, Nakajima and coworkers proposed a model based on patients with documented 2-year outcomes of HF incorporating 123I-MIBG imaging results to differentially predict risk of life-threatening arrhythmic events and HF death providing a more successful selection of therapeutic strategies tailored to individual patient risk status [68]. A recent systematic review by Pontico et al. evaluated the prognostic value of 123I-MIBG scintigraphy in assessing risk stratification concerning arrhythmic event and SCD in patients with HF. Data from this study suggest that patients with increased washout rate and reduced 123I-MIBG myocardial uptake have a worse prognosis, with increased risk of developing arrhythmic event and SCD [5]. These evidences indicate that 123I-MIBG could be a useful tool to evaluate the prognosis and stratify the risk of cardiac events in HF patients, especially in those with multiple comorbidities that could worsen cardiac sympathetic innervation. Although cardiac 123I-MIBG is the most studied adrenergic radiotracer, other positron-emitting radiotracers have been investigated to characterize cardiac SNS and to improve image quality in positron emission tomography (PET) [69, 70]. Therefore, cardiac imaging with 123I-MIBG and analogous PET tracers can play an important role in reducing morbidity and preventing adverse events in HF patients. However, additional studies are needed to better assess the role of SNS imaging in clinical management of patients with HF.
Conclusions
In clinical practice, HF is frequently associated with comorbidities such as diabetes, MS, obesity, kidney dysfunction, and SDB that unfavorably impact on prognosis.
As summarized in this review, the coexistence of these chronic conditions is associated with more severe impairment of SNS that may, at least in part, mechanistically explain this association. These observations pave the way to future studies aiming at assessing the clinical value of neuroadrenergic imaging in patients with HF.
References
McDonagh TA, Metra M, Adamo M, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42(36):3599–726. https://doi.org/10.1093/eurheartj/ehab368.
Currie GM, Iqbal B, Wheat JM, et al. Risk stratification in heart failure using 123I-MIBG. J Nucl Med Technol. 2011;39(4):295–301. https://doi.org/10.2967/jnmt.111.088369.
Hartupee J, Mann DL. Neurohormonal activation in heart failure with reduced ejection fraction. Nat Rev Cardiol. 2017;14(1):30–8. https://doi.org/10.1038/nrcardio.2016.163.
Carrió I, Cowie MR, Yamazaki J, Udelson J, Camici PG. Cardiac sympathetic imaging with mIBG in heart failure. JACC Cardiovasc Imaging. 2010;3(1):92–100. https://doi.org/10.1016/j.jcmg.2009.07.014.
Pontico M, Brunotti G, Conte M, et al. The prognostic value of 123I-mIBG SPECT cardiac imaging in heart failure patients: a systematic review. J Nucl Cardiol. 2022;29(4):1799–809. https://doi.org/10.1007/s12350-020-02501-w.
Nappi C, Assante R, Zampella E, et al. Relationship between heart rate response and cardiac innervation in patients with suspected or known coronary artery disease. J Nucl Cardiol. 2021;28:2676–83. https://doi.org/10.1007/s12350-020-02091-7.
Perrone-Filardi P, Paolillo S, Dellegrottaglie S, et al. Assessment of cardiac sympathetic activity by MIBG imaging in patients with heart failure: a clinical appraisal. Heart. 2011;97(22):1828–33. https://doi.org/10.1136/heartjnl-2011-300343.
Jacobson AF, Senior R, Cerqueira MD, et al. Myocardial iodine-123 meta-iodobenzylguanidine imaging and cardiac events in heart failure. Results of the prospective ADMIRE-HF (AdreView Myocardial Imaging for Risk Evaluation in Heart Failure) study. J Am Coll Cardiol. 2010;55(20):2212–21. https://doi.org/10.1016/j.jacc.2010.01.014.
Rushton CA, Satchithananda DK, Jones PW, Kadam UT. Non-cardiovascular comorbidity, severity and prognosis in non-selected heart failure populations: a systematic review and meta-analysis. Int J Cardiol. 2015;196:98–106. https://doi.org/10.1016/j.ijcard.2015.05.180.
Seo M, Yamada T, Tamaki S, et al. Prognostic significance of cardiac 123I-MIBG SPECT imaging in heart failure patients with preserved ejection fraction. JACC Cardiovasc Imaging. 2022;15:655–68. https://doi.org/10.1016/j.jcmg.2021.08.003.
Tamaki S, Yamada T, Watanabe T, et al. Usefulness of the 2-year iodine-123 metaiodobenzylguanidine-based risk model for post-discharge risk stratification of patients with acute decompensated heart failure. Eur J Nucl Med Mol Imaging. 2022;49:1906–17. https://doi.org/10.1007/s00259-021-05663-y.
Freeman AM, Pennings N. Insulin resistance. In: StatPearls. Treasure Island: StatPearls Publishing; 2022. https://www.ncbi.nlm.nih.gov/books/NBK507839/.
Anderson EA, Hoffman RP, Balon TW, Sinkey CA, Mark AL. Hyperinsulinemia produces both sympathetic neural activation and vasodilation in normal humans. J Clin Invest. 1991;87(6):2246–52. https://doi.org/10.1172/JCI115260.
Watanabe K, Sekiya M, Tsuruoka T, et al. Relationship between insulin resistance and cardiac sympathetic nervous function in essential hypertension. J Hypertens. 1999;17(8):1161–8. https://doi.org/10.1097/00004872-199917080-00016.
Kannel WB, Hjortland M, Castelli WP. Role of diabetes in congestive heart failure: the Framingham study. Am J Cardiol. 1974;34(1):29–34. https://doi.org/10.1016/0002-9149(74)90089-7.
Seferović PM, Petrie MC, Filippatos GS, et al. Type 2 diabetes mellitus and heart failure: a position statement from the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail. 2018;20(5):853–72. https://doi.org/10.1002/ejhf.1170.
Rafanelli M, Walsh K, Hamdan MH, Buyan-Dent L. Autonomic dysfunction: diagnosis and management. Handb Clin Neurol. 2019;167:123–37. https://doi.org/10.1016/B978-0-12-804766-8.00008-X.
MacDonald MR, Petrie MC, Hawkins NM, et al. Diabetes, left ventricular systolic dysfunction, and chronic heart failure. Eur Heart J. 2008;29(10):1224–40. https://doi.org/10.1093/eurheartj/ehn156.
Perrone-Filardi P, Paolillo S, Costanzo P, Savarese G, Trimarco B, Bonow RO. The role of metabolic syndrome in heart failure. Eur Heart J. 2015;36(39):2630–4. https://doi.org/10.1093/eurheartj/ehv350.
Langer A, Freeman MR, Josse RG, Armstrong PW. Metaiodobenzylguanidine imaging in diabetes mellitus: assessment of cardiac sympathetic denervation and its relation to autonomic dysfunction and silent myocardial ischemia. J Am Coll Cardiol. 1995;25(3):610–8. https://doi.org/10.1016/0735-1097(94)00459-4.
Gerson MC, Caldwell JH, Ananthasubramaniam K, et al. Influence of diabetes mellitus on prognostic utility of imaging of myocardial sympathetic innervation in heart failure patients. Circ Cardiovasc Imaging. 2011;4(2):87–93. https://doi.org/10.1161/CIRCIMAGING.110.954784.
Paolillo S, Rengo G, Pagano G, et al. Impact of diabetes on cardiac sympathetic innervation in patients with heart failure: a 123I meta-iodobenzylguanidine (123I MIBG) scintigraphic study. Diabetes Care. 2013;36(8):2395–401. https://doi.org/10.2337/dc12-2147.
Paolillo S, Rengo G, Pellegrino T, et al. Insulin resistance is associated with impaired cardiac sympathetic innervation in patients with heart failure. Eur Heart J Cardiovasc Imaging. 2015;16(10):1148–53. https://doi.org/10.1093/ehjci/jev061.
Hirode G, Wong RJ. Trends in the prevalence of metabolic syndrome in the United States, 2011–2016. JAMA. 2020;323(24):2526–8. https://doi.org/10.1001/jama.2020.4501.
Wang J, Sarnola K, Ruotsalainen S, et al. The metabolic syndrome predicts incident congestive heart failure: a 20-year follow-up study of elderly Finns. Atherosclerosis. 2010;210(1):237–42. https://doi.org/10.1016/j.atherosclerosis.2009.10.042.
Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735–52. https://doi.org/10.1161/CIRCULATIONAHA.105.169404.
Canale MP, Manca di Villahermosa S, Martino G, et al. Obesity-related metabolic syndrome: mechanisms of sympathetic overactivity. Int J Endocrinol. 2013. https://doi.org/10.1155/2013/865965.
Pellegrino T, Piscopo V, Boemio A, et al. Impact of obesity and acquisition protocol on (123)I-metaiodobenzylguanidine indexes of cardiac sympathetic innervation. Quant Imaging Med Surg. 2015;5(6):822–8. https://doi.org/10.3978/j.issn.2223-4292.2015.11.03.
Komici K, Bencivenga L, Paolillo S, et al. Impact of body mass index on cardiac adrenergic derangement in heart failure patients: a (123)I-mIBG imaging study. Eur J Nucl Med Mol Imaging. 2020;47(7):1713–21. https://doi.org/10.1007/s00259-019-04658-0.
Parisi V, Rengo G, Perrone-Filardi P, et al. Increased epicardial adipose tissue volume correlates with cardiac sympathetic denervation in patients with heart failure. Circ Res. 2016;118(8):1244–53. https://doi.org/10.1161/CIRCRESAHA.115.307765.
Sunaga A, Hikoso S, Yamada T, et al. Abdominal obesity, and not general obesity, is associated with a lower 123I MIBG heart-to-mediastinum ratio in heart failure patients with preserved ejection fraction. Eur J Nucl Med Mol Imaging. 2022;49(2):609–18. https://doi.org/10.1007/s00259-021-05280-9.
Ronco C, McCullough P, Anker SD, et al. Cardio-renal syndromes: report from the consensus conference of the acute dialysis quality initiative. Eur Heart J. 2010;31(6):703–11. https://doi.org/10.1093/eurheartj/ehp507.
Vallianou NG, Mitesh S, Gkogkou A, Geladari E. Chronic kidney disease and cardiovascular disease: is there any relationship? Curr Cardiol Rev. 2019;15(1):55–63. https://doi.org/10.2174/1573403X14666180711124825.
Hillege HL, Nitsch D, Pfeffer MA, et al. Renal function as a predictor of outcome in a broad spectrum of patients with heart failure. Circulation. 2006;113(5):671–8. https://doi.org/10.1161/CIRCULATIONAHA.105.580506.
Bongartz LG, Cramer MJ, Doevendans PA, Joles JA, Braam B. The severe cardiorenal syndrome: “Guyton revisited.” Eur Heart J. 2005;26(1):11–7. https://doi.org/10.1093/eurheartj/ehi020.
Doi T, Nakata T, Hashimoto A, et al. Cardiac mortality assessment improved by evaluation of cardiac sympathetic nerve activity in combination with hemoglobin and kidney function in chronic heart failure patients. J Nucl Med. 2012;53(5):731–40. https://doi.org/10.2967/jnumed.111.095786.
Verschure DO, Somsen GA, van Eck-Smit BLF, Verberne HJ. Renal function in relation to cardiac (123)I-MIBG scintigraphy in patients with chronic heart failure. Int J Mol Imaging. 2012;2012:434790. https://doi.org/10.1155/2012/434790.
Malhotra S, Wang L, Bunker CH, Winger D, Soman P. Renal dysfunction does not affect the prognostic value of myocardial iodine-123 meta-iodobenzylguanidine imaging in heart failure. Nucl Med Commun. 2014;35(1):58–63. https://doi.org/10.1097/MNM.0000000000000017.
Marsico F, Paolillo S, Gargiulo P, et al. Renal function and cardiac adrenergic impairment in patients affected by heart failure. J Nucl Cardiol. 2021;28(5):2112–22. https://doi.org/10.1007/s12350-019-01975-7.
Amami K, Yamada S, Yoshihisa A, et al. Predictive impacts of chronic kidney disease and cardiac sympathetic nervous activity on lethal arrhythmic events in chronic heart failure. Ann Noninvasive Electrocardiol. 2022;27:e12900. https://doi.org/10.1111/anec.12900.
de Lucia C, Piedepalumbo M, Paolisso G, Koch WJ. Sympathetic nervous system in age-related cardiovascular dysfunction: pathophysiology and therapeutic perspective. Int J Biochem Cell Biol. 2019;108:29–33. https://doi.org/10.1016/j.biocel.2019.01.004.
Ferrara N, Komici K, Corbi G, et al. β-adrenergic receptor responsiveness in aging heart and clinical implications. Front Physiol. 2014;4:396. https://doi.org/10.3389/fphys.2013.00396.
Estorch M, Carrió I, Berná L, López-Pousa J, Torres G. Myocardial iodine-labeled metaiodobenzylguanidine 123 uptake relates to age. J Nucl Cardiol. 1995;2(2 Pt 1):126–32. https://doi.org/10.1016/s1071-3581(95)80023-9.
Tsuchimochi S, Tamaki N, Tadamura E, et al. Age and gender differences in normal myocardial adrenergic neuronal function evaluated by iodine-123-MIBG imaging. J Nucl Med. 1995;36(6):969–74.
Jacobson AF, Chen J, Verdes L, Folks RD, Manatunga DN, Garcia EV. Impact of age on myocardial uptake of 123I-mIBG in older adult subjects without coronary heart disease. J Nucl Cardiol. 2013;20(3):406–14. https://doi.org/10.1007/s12350-013-9701-7.
Rengo G, Pagano G, Vitale DF, et al. Impact of aging on cardiac sympathetic innervation measured by (123)I-mIBG imaging in patients with systolic heart failure. Eur J Nucl Med Mol Imaging. 2016;43(13):2392–400. https://doi.org/10.1007/s00259-016-3432-3.
Javaheri S, Caref EB, Chen E, Tong KB, Abraham WT. Sleep apnea testing and outcomes in a large cohort of Medicare beneficiaries with newly diagnosed heart failure. Am J Respir Crit Care Med. 2011;183(4):539–46. https://doi.org/10.1164/rccm.201003-0406OC.
Mansukhani MP, Kara T, Caples SM, Somers VK. Chemoreflexes, sleep apnea, and sympathetic dysregulation. Curr Hypertens Rep. 2014;16(9):476. https://doi.org/10.1007/s11906-014-0476-2.
Bradley TD, Floras JS. Sleep apnea and heart failure: Part II: central sleep apnea. Circulation. 2003;107(13):1822–6. https://doi.org/10.1161/01.CIR.0000061758.05044.64.
Hall AB, Ziadi MC, Leech JA, et al. Effects of short-term continuous positive airway pressure on myocardial sympathetic nerve function and energetics in patients with heart failure and obstructive sleep apnea: a randomized study. Circulation. 2014;130(11):892–901. https://doi.org/10.1161/CIRCULATIONAHA.113.005893.
Scala O, Paolillo S, Formisano R, et al. Sleep-disordered breathing, impaired cardiac adrenergic innervation and prognosis in heart failure. Heart. 2016;102(22):1813–9. https://doi.org/10.1136/heartjnl-2015-309215.
Tokuda Y, Sakakibara M, Yoshinaga K, et al. Early therapeutic effects of adaptive servo-ventilation on cardiac sympathetic nervous function in patients with heart failure evaluated using a combination of (11)C-HED PET and (123)I-MIBG SPECT. J Nucl Cardiol. 2019;26:1079–89. https://doi.org/10.1007/s12350-017-1132-4.
Hayes MT. Parkinson’s disease and parkinsonism. Am J Med. 2019;132:802–7. https://doi.org/10.1016/j.amjmed.2019.03.001.
Gonçalves VC, Cuenca-Bermejo L, Fernandez-Villalba E, et al. Heart matters: cardiac dysfunction and other autonomic changes in Parkinson’s disease. Neuroscientist. 2021. https://doi.org/10.1177/1073858421990000.
Kawazoe M, Arima H, Maeda T, et al. Sensitivity and specificity of cardiac (123)I-MIBG scintigraphy for diagnosis of early-phase Parkinson’s disease. J Neurol Sci. 2019;407:116409. https://doi.org/10.1016/j.jns.2019.07.027.
Sakakibara R, Tateno F, Kishi M, Tsuyusaki Y, Terada H, Inaoka T. MIBG myocardial scintigraphy in pre-motor Parkinson’s disease: a review. Parkinsonism Relat Disord. 2014;20:267–73. https://doi.org/10.1016/j.parkreldis.2013.11.001.
Frantellizzi V, Ricci M, Farcomeni A, Pontico M, Pani A, Vincentis GD. Usefulness of 5 minutes 123I-mIBG scan in Parkinson’s disease and heart failure. Curr Radiopharm. 2020;13:120–9. https://doi.org/10.2174/1874471013666200127122033.
Pfeiffer RF. Autonomic dysfunction in Parkinson’s disease. Neurotherapeutics. 2020;17:1464–79. https://doi.org/10.1007/s13311-020-00897-4.
Oka H, Toyoda C, Yogo M, Mochio S. Cardiovascular dysautonomia in de novo Parkinson’s disease without orthostatic hypotension. Eur J Neurol. 2011;18:286–92. https://doi.org/10.1111/j.1468-1331.2010.03135.x.
Strano S, Fanciulli A, Rizzo M, et al. Cardiovascular dysfunction in untreated Parkinson’s disease: a multi-modality assessment. J Neurol Sci. 2016;370:251–5. https://doi.org/10.1016/j.jns.2016.09.036.
Steinberg BA, Al-Khatib SM, Edwards R, et al. Outcomes of implantable cardioverter-defibrillator use in patients with comorbidities: results from a combined analysis of 4 randomized clinical trials. JACC Heart Fail. 2014;2(6):623–9. https://doi.org/10.1016/j.jchf.2014.06.007.
Goldenberg I, Vyas AK, Hall WJ, et al. Risk stratification for primary implantation of a cardioverter-defibrillator in patients with ischemic left ventricular dysfunction. J Am Coll Cardiol. 2008;51(3):288–96. https://doi.org/10.1016/j.jacc.2007.08.058.
Bencivenga L, Komici K, Femminella GD, et al. Impact of the number of comorbidities on cardiac sympathetic derangement in patients with reduced ejection fraction heart failure. Eur J Intern Med. 2021;86:86–90. https://doi.org/10.1016/j.ejim.2021.01.010.
Kayama K, Yamada T, Tamaki S, et al. Incremental prognostic value of cardiac metaiodobenzylguanidine imaging over the co-morbid burden in acute decompensated heart failure. ESC Heart Fail. 2021;8:1167–77. https://doi.org/10.1002/ehf2.13173.
Assante R, D’Antonio A, Mannarino T, et al. Simultaneous assessment of myocardial perfusion and adrenergic innervation in patients with heart failure by low-dose dual-isotope CZT SPECT imaging. J Nucl Cardiol. 2022. https://doi.org/10.1007/s12350-022-02951-4.
van der Heijden AC, Borleffs CJW, Buiten MS, et al. The clinical course of patients with implantable cardioverter-defibrillators: extended experience on clinical outcome, device replacements, and device-related complications. Heart Rhythm. 2015;12(6):1169–76. https://doi.org/10.1016/j.hrthm.2015.02.035.
Verschure DO, de Groot JR, Mirzaei S, et al. Cardiac (123)I-mIBG scintigraphy is associated with freedom of appropriate ICD therapy in stable chronic heart failure patients. Int J Cardiol. 2017;248:403–8. https://doi.org/10.1016/j.ijcard.2017.08.003.
Nakajima K, Nakata T, Doi T, Tada H, Maruyama K. Machine learning-based risk model using 123I-metaiodobenzylguanidine to differentially predict modes of cardiac death in heart failure. J Nucl Cardiol. 2022;29:190–201. https://doi.org/10.1007/s12350-020-02173-6.
Wan N, Travin MI. Cardiac imaging with (123)I-meta-iodobenzylguanidine and analogous PET tracers: current status and future perspectives. Semin Nucl Med. 2020;50:331–48. https://doi.org/10.1053/j.semnuclmed.2020.03.001.
Zelt JGE, deKemp RA, Rotstein BH, et al. Nuclear imaging of the cardiac sympathetic nervous system: a disease-specific interpretation in heart failure. JACC Cardiovasc Imaging. 2020;13:1036–54. https://doi.org/10.1016/j.jcmg.2019.01.042.
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Gargiulo, P., Acampa, W., Asile, G. et al. 123I-MIBG imaging in heart failure: impact of comorbidities on cardiac sympathetic innervation. Eur J Nucl Med Mol Imaging 50, 813–824 (2023). https://doi.org/10.1007/s00259-022-05941-3
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DOI: https://doi.org/10.1007/s00259-022-05941-3