About the Authors:
Jonathan R. Lindner
Roles Formal analysis, Investigation, Writing – review & editing
Affiliation: Knight Cardiovascular Institute, Oregon Health Sciences University, Portland, OR, United States of America
Todd Belcik
Roles Conceptualization, Formal analysis, Methodology
Affiliation: Knight Cardiovascular Institute, Oregon Health Sciences University, Portland, OR, United States of America
Michael Widlansky
Roles Conceptualization, Investigation, Writing – review & editing
Affiliation: Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States of America
Leanne M. Harmann
Roles Investigation, Writing – review & editing
Affiliation: Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States of America
Matthew S. Karafin
Roles Data curation, Writing – review & editing
Affiliation: Medical Sciences Institute, Versiti Wisconsin, Milwaukee, WI, United States of America
Nancy J. Wandersee
Roles Investigation, Writing – review & editing
Affiliation: Medical Sciences Institute, Versiti Wisconsin, Milwaukee, WI, United States of America
Maneka Puligandla
Roles Formal analysis
Affiliation: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, United States of America
Donna Neuberg
Roles Formal analysis
Affiliation: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, United States of America
Joel Linden
Roles Conceptualization, Investigation, Methodology, Resources, Writing – review & editing
Affiliations Division of Developmental Immunology, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States of America, Department of Pharmacology, University of California San Diego, La Jolla, CA, United States of America
Joshua J. Field
Roles Conceptualization, Investigation, Methodology, Writing – original draft
* E-mail: [email protected]
Affiliations Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States of America, Medical Sciences Institute, Versiti Wisconsin, Milwaukee, WI, United States of America
ORCID logo http://orcid.org/0000-0001-8148-055X
Introduction
Sickle cell disease (SCD) is a group of inherited hemoglobinopathies that are characterized by red cell sickling. The result of mutations in the β-globin gene, the abnormal hemoglobin polymerizes in the deoxyhemoglobin state to create long fibers that cause red cells to change from bi-concave disks to sickle-shaped. Rigid, adhesive, and poorly able to traverse the microvasculature, sickle cells interact with white blood cells, platelets, and endothelial cells to obstruct capillaries and post-capillary venules, causing ischemia and tissue injury [1]. Vaso-occlusion in the bone marrow and lungs, the most commonly affected sites, produce episodes of pain and acute chest syndrome, which are leading causes of death [2–4]. These acute complications, as well as chronic end-organ damage, reduce the lifespan of patients with SCD to about 50 years [2]. Despite numerous insights into the underlying pathogenesis of SCD, this statistic has remained relatively constant for many years, likely because it has been challenging to identify new therapies [5–9]. Until L-glutamine became available in 2017, hydroxyurea was the only FDA-approved therapy for SCD [10,11]. Although the complex pathophysiology of the disease itself is the most significant barrier to the development of new therapies, another critical impediment is reliable outcome measures. Clinical outcome measures, such as frequency or duration of pain crises, or amount of opioids used, are subjective and vary from patient to patient [4,9,12]. Given that the underlying pathogenesis of SCD is microvascular occlusion, the measurement of microvascular blood flow (MBF), which should decrease in affected vessels, represents the most direct approach to assessing tissue status. Imaging MBF in the bone marrow, however, the main site of vaso-occlusion, is challenging and there is no blood flow measure that is commonly used in SCD clinical trials.
Contrast-enhanced ultrasound (CEUS) is a technique that uses standard ultrasound equipment to detect changes in MBF using microbubbles that are infused through a peripheral intravenous catheter. These commercially-available microbubbles are pure intravascular tracers that have a similar rheology as erythrocytes and oscillate in an ultrasound field thereby generating strong acoustic signals [13]. After a destructive pulse is delivered, the intravascular replenishment of the microbubbles provides data about MBF and its components, microvascular blood volume and flux velocity [14,15]. In this study, we extend findings by members of our research team that previously demonstrated the ability of CEUS to detect an increase in MBF between SCD patients treated with hydroxyurea compared to those without hydroxyurea [16]. We evaluated the ability of CEUS to detect changes in MBF in forearm skeletal muscle: 1) in SCD patients during vaso-occlusive crisis and after recovery, as a proof-of-concept to demonstrate the ability to detect dynamic perfusion abnormalities; and 2) sequentially in subjects undergoing an infusion of regadenoson, an adenosine A2A agonist that has been investigated as a therapy for SCD. We hypothesized that CEUS-measured MBF would decrease during vaso-occlusive crisis and increase with regadenoson infusion.
Methods
This study was approved by the Institutional Review Board at the Medical College of Wisconsin. Written consent was obtained from all subjects prior to participation and all study activities were performed according to the principles expressed in the Declaration of Helsinki. This study was registered at ClinicalTrials.gov (NCT01566890).
Eligibility
Eligible subjects were adults with HbSS/HbSβ0-thalassemia and age 18 to 70 years, without known hypertension, left-right cardiac shunts, or previous sensitivities to ultrasound contrast agents. Subjects in the regadenoson and sickle cell control groups needed to be at least 2 weeks from their most recent hospital or emergency department visit, and at their baseline pain level. Subjects in the regadenoson group could not have a diagnosis of asthma.
Study design
To examine the ability of CEUS to detect changes in MBF, we performed CEU studies in adult SCD patients: 1) during vaso-occlusive crisis as compared to steady-state, and 2) during an infusion of regadenoson (0, 6, and 24 hours) as compared to baseline, and also compared to SCD controls who did not receive regadenoson, but were similarly imaged at 0, 6, and 24 hours. For the crisis group, a vaso-occlusive crisis was defined as a hospitalization for pain for which no other explanation for the pain could be found4. Repeat CEUS examinations after hospitalization were performed at least one month after discharge, 2 weeks from an emergency department or hospital admission for any reason, and when the patient was at steady-state and reporting either no pain or baseline pain. For the regadenoson group, the study drug was administered at 1.44 mcg/kg/hr as a continuous infusion for 24 hours [9]. Prior to starting the infusion, a limited functional 2D echocardiogram was performed to exclude severe pulmonary hypertension, which was a previously documented safety concern for CEU that has since been refuted [17].
CEU imaging
Images were obtained as previously described [18] from the deep forearm flexor muscles (short-axis) after establishing a continuous infusion of microbubbles. The subject arm was scanned to locate the proximal forearm flexor muscles (flexor digitorum superficialis and flexor digitorum profundus) in the transverse plane. For the regadenoson group, the ultrasound transducer location was then marked with indelible ink to ensure identical anatomic location for each subsequent scan. These marks were not removed until all studies were complete. For the crisis group, upon location of the flexor muscles, a measurement was taken from the cubital fossa to the ultrasound transducer and recorded in centimeters on the ultrasound study sheet. This measurement was replicated at each subsequent exam. CEUS was performed for the first 3 crisis patients and the first 14 subjects undergoing regadenoson using lipid-shelled perfluorocarbon microbubbles (Definity, Lantheus Medical) within FDA-approved dosing guidelines.[19] However, because of pain episodes during infusion of Definity, which have been previously reported but occurred at a higher-than-expected rate [20], an alternative contrast agent composed of albumin-shelled perfluorocarbon microbubbles (Optison, GE Healthcare) was used for all studies thereafter [20]. Definity was administered by diluting 1 vial into 30 mL of saline and infusing at 1.5 ml/min. Optison was administered by diluting 1 vial into 30 ml saline and infusing at 1.5 ml/min. Imaging was started after allowing the microbubble concentration to reach a steady state (~2 min). We averaged the data from 3 separate perfusion runs. When examining the first, second, and third run; if there was no significant change in A-value, then the blood pool concentration was deemed stable since A-value simply reflected microvascular blood volume and blood contrast concentration. A programmable intravenous pump, Medfusion 3500 by Smith Medical, was used. All exams, whether the subjects were part of the regadenoson group, the control group, or the crisis group, and regardless of how many measurements were performed within an exam, were performed with a single contrast agent. Subjects in the regadenoson group each had two intravenous lines maintained, one for drug infusion and one for contrast infusion. Each subject ambulated only to and from the bathroom for the entire study duration (modified bed rest). Crisis subjects were also on modified bed rest at the time of the initial study due to pain and intravenous infusion pumps. For repeat exams, each subject was allowed to rest for about 15 minutes prior to study start. Across regadenoson subjects, the baseline, +6 hour, and +24-hour CEUS were performed at approximately the same time of day (± 2 hours). Contrast-specific power-modulation imaging (IE33, Philips Ultrasound) was performed at a transmission frequency of 1.7 MHz with a phased-array transducer at a mechanical index (MI) of 0.15. [14,21] Images were acquired for 15 seconds after a destructive (MI 1.0) 5-frame pulse sequence. Image analysis was performed by investigators who were not involved with image acquisition and were blinded to patient identity. Post-destructive time-intensity data were fit to the function y = A(1-eβt), where y is intensity at time t, A is the plateau intensity representing relative MBV, the rate constant β represents microvascular RBC flux rate, and the product of A and β represent MBF [22,23]. The 1-exp model was used as it is the only one that has been validated by microspheres and quantitative PET [22,24]. Further details on CEUS imaging is found in the supplemental methods. A sample CEUS with corresponding time intensity data from a subject at baseline are shown in Fig 1.
[Figure omitted. See PDF.]
Fig 1. Contrast-enhanced ultrasound perfusion images and corresponding time intensity data from a subject at baseline.
(A) Examples of raw images (top) and background-subtracted color coded images (bottom, scale at far right) within the quantitative region-of-interest demonstrating background images (BG) and contrast-enhancement at various time intervals after the destructive pulse sequence in forearm skeletal muscle. (B) Time intensity data derived from same subject.
https://doi.org/10.1371/journal.pone.0218783.g001
Statistical analysis
Statistical analysis was performed using R version 3.5 and SAS version 9.4. Because skeletal muscle microvascular perfusion is influenced by factors that affect oxygen delivery [25,26], all values were normalized to hemoglobin which is known to vary in subjects with SCD. For comparison of crisis versus steady state condition CEUS values, a Wilcoxon signed-rank test was used. For the regadenoson subjects, a Wilcoxon signed-rank test on the ratios to baseline was used for each on-therapy value. There was significant variation at baseline in MBF, volume, and flow velocity in SCD subjects which was why we chose to analyze the change in ratios within a subject (Table A in S1 File). A power analysis demonstrates that for 20 regadenoson subjects, we have 90% power to detect a difference of ≥20%.
A mixed model was used to model the change in normalized A, β, and Axβ values over the 24-hour infusion, with measurements at baseline, 6 hours, and 24 hours. The model allowed for different slopes before and after the 6-hour mark. For the between-group comparison (regadenoson versus control), the 24-hour values were then modeled using ANCOVA with group (regadenoson or control) and baseline value as covariates. This approach assessed the effect of regadenoson on 24-hour values while controlling for the initial values. The primary hypothesis concerned MBF, and nominal p-values < 0.05 were considered statistically significant. Components of MBF were also tested, and nominal p-values were presented without adjustment for multiple comparisons.
Results
Demographics
Serial CEUS measurements were obtained in 32 subjects with SCD, 6 in the crisis group, 20 in the regadenoson group, and 6 in the SCD control group (Fig 2, Table 1). Of note, the median age of all SCD subjects was 26 years and 97% were treated with hydroxyurea.
[Figure omitted. See PDF.]
Fig 2. CONSORT flow diagram for the regadenoson.
CONSORT flow diagram for the regadenoson (A), sickle cell control (B) and sickle cell CEUS (C) groups. Subjects were excluded if their data was incomplete.
https://doi.org/10.1371/journal.pone.0218783.g002
[Figure omitted. See PDF.]
Table 1. Patient demographics.
https://doi.org/10.1371/journal.pone.0218783.t001
Skeletal muscle perfusion abnormalities during crisis
MBF, volume, and flow velocity was examined during a pain crisis and compared to steady-state values (Fig 3). During crisis, MBF was lower than steady-state, which was attributable primarily to a reduction in muscle microvascular flux rate (p = 0.031 for both). Microvascular blood volume was not significantly altered during crisis.
[Figure omitted. See PDF.]
Fig 3. CEUS measurements normalized to hemoglobin in adults with SCD during vaso-occlusive crisis versus steady-state.
Top left: Microvascular blood flow volume (A); top right: blood flow velocity normalized to hemoglobin (Normalized beta); bottom left, microvascular blood flow normalized to hemoglobin (Normalized AxB). Dots represent individual subjects. Dotted line indicates no change between baseline and crisis measurements. Dots above the line represent increases and dots below the line represent decreases between baseline and crisis measurements.
https://doi.org/10.1371/journal.pone.0218783.g003
The effects of regadenoson on MBF
After a 24-hour infusion of regadenoson, there was no significant effect of regadenoson on MBF in SCD subjects (Table 2, Fig 4). There were few differences in microvascular blood volume (A), suggesting the lack of recruitment of additional microvascular units. When CEU measurements at 24 hours were compared to baseline, 11/20 (55%) subjects showed an increase in MBF, with a median increase of 9% (p = 0.13). Thirteen of 20 (65%) of subjects demonstrated an increase in flux rate, with a median increase of 25% (p = 0.058). Despite these increases, neither MBF values nor flux rate achieved statistical significance; it is possible that increases in some subjects were offset by decreases in other subjects. There were no phenotypic differences noted in terms of responders (defined by an increase in MBF, as judged by AxB, in response to regadenoson, comparing 24 hours to baseline) vs. non-responders (Table B in S1 File).
[Figure omitted. See PDF.]
Fig 4. CEUS measurements normalized to hemoglobin in adults with SCD after 24-hour infusion of regadenoson versus baseline.
Top left: Microvascular blood flow volume (A); top right: blood flow velocity normalized to hemoglobin (Normalized beta); bottom left, microvascular blood flow normalized to hemoglobin (Normalized AxB). Dotted line indicates no change between 24 hr and baseline measurements. Dots above the line represent increases and dots below the line represent decreases between 24 hr and baseline measurements.
https://doi.org/10.1371/journal.pone.0218783.g004
[Figure omitted. See PDF.]
Table 2. 24 hours/baseline in SCD subjects who were administered a 24-hour regadenoson infusion or control infusion.
https://doi.org/10.1371/journal.pone.0218783.t002
To determine a change in normalized microvascular blood volume, flow velocity, and MBF over the 24-hour infusion with SCD patients, as well as between SCD patients treated with regadenoson and SCD controls who did not receive regadenoson, two models that accounted for repeat measures were explored: an ANCOVA and a mixed model (see Methods). The mixed model is a commonly used statistical technique that allows for the analysis of repeated measures. It is important to use this method because it accounts for the non-random nature of repeat measurements within an individual. Neither model yielded statistically significant results (Tables 3 and 4).
[Figure omitted. See PDF.]
Table 3. ANCOVA model of changes in microvascular blood volume (A), flow velocity (β), and microvascular blood flow (Axβ) in SCD subjects administered a 24-hour regadenoson infusion or control infusion.
https://doi.org/10.1371/journal.pone.0218783.t003
[Figure omitted. See PDF.]
Table 4. Mixed model of changes in microvascular blood volume (A), flow velocity (β), and microvascular blood flow (Axβ) in SCD subjects administered a 24-hour regadenoson infusion or control infusion.
https://doi.org/10.1371/journal.pone.0218783.t004
Discussion
The primary aim of this study was to evaluate how CEUS can be applied to evaluate either pathogenic or therapeutic changes in tissue perfusion in patients with SCD. Using CEUS, we captured the expected decrease in MBF that should occur during a crisis as compared to steady state. In those patients who were administered a 24-hour infusion of regadenoson, there was an increase in MBF of 9%, an improvement that was due to flow velocity. Due to small sample size and high variability, these data did not achieve statistical significance, and therefore we cannot determine whether regadenoson is helpful for patients with SCD. However, our findings do show the potential applications of CEUS in SCD research.
There are no methods to measure blood flow that are routinely used in SCD. Ideally, a technique for assessing blood flow in SCD would: 1) be non-invasive, 2) measure MBF, as opposed to large vessel blood flow, 3) access a convenient and clinically-relevant site, and 4) be relatively inexpensive and use equipment that is widely available. To date, modalities that have been used to measure blood flow in SCD have not met these criteria. Notable examples include laser Doppler velocimetry, a technique that measures cutaneous blood flow, and slit-lamp microscopy, a technique that measures conjunctival blood flow [27–29]. In addition to the fact that both techniques require equipment that few institutions have, both examine vascular beds that may not be relevant to the bone marrow and have other drawbacks as well: skin vessels are sensitive to environmental changes and thus may not be an accurate reflection of the abnormalities of blood flow that are inherent to SCD and deep within organs; conjunctival vessels are branches off the cerebral vessels and may be affected by vasculopathy. Another technique that has been used in SCD is peripheral arterial tonometry, which non-invasively measures pressure changes in the fingertip. But, like laser Doppler velocimetry and slit-lamp microscopy, it requires specialized equipment and, additionally, it is measuring arterial tone, as opposed to MBF [30].
A key step to validate CEUS for use in SCD was to determine if it could identify changes in MBF that are an expected part of SCD pathogenesis. To accomplish this, we performed CEUS measures during a vaso-occlusive crisis as compared to steady-state. Indeed, we saw a significant reduction of MBF during crisis. Although expected, this result is an important proof-of-concept that helps to validate CEUS as a technique to measure MBF in patients with SCD. Additionally, it is important because the skeletal muscle is only a proxy for the vascular bed in which we are interested, the bone marrow, and, during crisis, there are likely many competing influences on microvascular perfusion. An imbalance between vasoconstrictor and vasodilator compounds, impaired rheology, microvascular thrombosis, and even anemia itself could all affect perfusion. To this last point, a recent study performed in patients with SCD under steady state conditions found that the true extent of their perfusion abnormality was only apparent after correcting for hemoglobin [16], which was why we corrected for anemia in this study as well.
Since measures of MBF would be an ideal outcome measure for clinical trials, we also wanted to evaluate the use of CEUS in the context of an investigational agent, in this case, regadenoson. We did not find evidence that regadenoson improved MBF, volume, or flow velocity in SCD subjects. Regadenoson is an adenosine A2A agonist that is known as a vasodilator [31]. The basis for regadenoson’s FDA approval is its ability to dilate cardiac vessels and induce hyperemia during cardiac stress tests [32]. Our group has demonstrated that regadenoson also decreases activation of invariant NKT cells, which could decrease inflammation and reduce vaso-occlusion [33]. The fact that regadenoson did not improve MBF, volume, or flow velocity in SCD subjects is consistent with a recently-completed, multi-center trial of regadenoson for the treatment of pain crises in SCD, which was negative [9].
Although in this study no changes were found in MBF, volume, or flow velocity, the reason we chose to investigate CEUS was because it has been shown in other disease states to provide insights into the determinants of tissue perfusion [14,15]. Changes in the A-value reflect MBV. Alternatively, changes in microvascular flux rate (β) can occur from either changes in rheology at the capillary level or changes in the tone of resistance arterioles that govern pre-capillary pressure [13]. When testing new therapies that are designed to improve microvascular tone or erythrocyte rheology, CEUS could provide important proof-of-mechanism information.
As with any study, ours had limitations. The most significant limitation was our small sample size. There is a high degree of inter-individual variability in MBF that is part of normal physiology. Regardless of what technique is used to measure MBF, this will be a limitation that will be affected by small sample sizes. Potentially, CEUS could miss small differences that may be clinically meaningful in a therapeutic trial. The performance of repeat studies and analyzing fold changes within an individual is likely the best approach to overcome this limitation.
In this study, we evaluated CEUS, a technique that measures MBF in the skeletal forearm muscle. Although skeletal muscle is a good proxy for the vascular bed of interest, it is still a proxy. Nevertheless, there are several attributes of this technique that make it appealing for SCD trials. CEUS is non-invasive, uses common ultrasound equipment, and requires minimal training. Although we did not find differences in MBF associated with regadenoson, this study provides preliminary evidence that CEUS could be used as an outcome measure for other therapeutic trials.
Supporting information
[Figure omitted. See PDF.]
S1 File.
CEUS imaging methods and Table A and B.
https://doi.org/10.1371/journal.pone.0218783.s001
(DOC)
Acknowledgments
The authors thank Steven Frymark, Jillian Dargatz, Darshita Sheth, and Zachary Williams for study coordinating activities.
Citation: Lindner JR, Belcik T, Widlansky M, Harmann LM, Karafin MS, Wandersee NJ, et al. (2019) Contrast-enhanced ultrasound detects changes in microvascular blood flow in adults with sickle cell disease. PLoS ONE 14(7): e0218783. https://doi.org/10.1371/journal.pone.0218783
1. Zhang D, Xu C, Manwani D, Frenette PS. Neutrophils, platelets, and inflammatory pathways at the nexus of sickle cell disease pathophysiology. Blood. 2016;127(7):801–809. pmid:26758915
2. Platt OS, Brambilla DJ, Rosse WF, Milner PF, Castro O, Steinberg MH, et al. Mortality in sickle cell disease. Life expectancy and risk factors for early death. N Engl J Med. 1994;330(23):1639–1644. pmid:7993409
3. Platt OS. The acute chest syndrome of sickle cell disease. N Engl J Med. 2000;342(25):1904–1907. pmid:10861328
4. Platt OS, Thorington BD, Brambilla DJ, Milner PF, Rosse WF, Vichinsky E, et al. Pain in sickle cell disease. Rates and risk factors. N Engl J Med. 1991;325(1):11–16. pmid:1710777
5. Orringer EP, Casella JF, Ataga KI, Koshy M, Adams-Graves P, Luchtman-Jones L, et al. Purified poloxamer 188 for treatment of acute vaso-occlusive crisis of sickle cell disease: A randomized controlled trial. Jama. 2001;286(17):2099–2106. pmid:11694150
6. Kutlar A, Ataga KI, McMahon L, Howard J, Galacteros F, Hagar W, et al. A potent oral P-selectin blocking agent improves microcirculatory blood flow and a marker of endothelial cell injury in patients with sickle cell disease. Am J Hematol. 2012;87(5):536–539. pmid:22488107
7. Ataga KI, Smith WR, De Castro LM, Swerdlow P, Saunthararajah Y, Castro O, et al. Efficacy and safety of the Gardos channel blocker, senicapoc (ICA-17043), in patients with sickle cell anemia. Blood. 2008;111(8):3991–3997. pmid:18192510
8. Field JJ, Majerus E, Ataga KI, Vichinsky EP, Schaub R, Mashal R, et al. NNKTT120, an anti-iNKT cell monoclonal antibody, produces rapid and sustained iNKT cell depletion in adults with sickle cell disease. PLoS One. 2017;12(2):e0171067. pmid:28152086
9. Field JJ, Majerus E, Gordeuk VR, Gowhari M, Hoppe C, Heeney MM, et al. Randomized phase 2 trial of regadenoson for treatment of acute vaso-occlusive crises in sickle cell disease. Blood Adv. 2017;1(20):1645–1649. pmid:29296811
10. Charache S, Terrin ML, Moore RD, Dover GJ, Barton FB, Eckert SV, et al. Effect of hydroxyurea on the frequency of painful crises in sickle cell anemia. The New England Journal of Medicine. 1995;332(20):1317–1322. pmid:7715639
11. L-glutamine (Endari) for sickle cell disease. Med Lett Drugs Ther. 2018;60(1539):21–22. pmid:29364198
12. Telen MJ, Wun T, McCavit TL, De Castro LM, Krishnamurti L, Lanzkron S, et al. Randomized phase 2 study of GMI-1070 in SCD: reduction in time to resolution of vaso-occlusive events and decreased opioid use. Blood. 2015;125(17):2656–2664. pmid:25733584
13. Kaufmann BA, Wei K, Lindner JR. Contrast echocardiography. Curr Probl Cardiol. 2007;32(2):51–96. pmid:17208647
14. Womack L, Peters D, Barrett EJ, Kaul S, Price W, Lindner JR. Abnormal skeletal muscle capillary recruitment during exercise in patients with type 2 diabetes mellitus and microvascular complications. J Am Coll Cardiol. 2009;53(23):2175–2183. pmid:19497445
15. Wei K, Le E, Bin JP, Coggins M, Thorpe J, Kaul S. Quantification of renal blood flow with contrast-enhanced ultrasound. J Am Coll Cardiol. 2001;37(4):1135–1140. pmid:11263620
16. Sachdev V, Sidenko S, Wu MD, Minniti CP, Hannoush H, Brenneman CL, et al. Skeletal and myocardial microvascular blood flow in hydroxycarbamide-treated patients with sickle cell disease. Br J Haematol. 2017;179(4):648–656. pmid:28880374
17. Wei K, Main ML, Lang RM, Klein A, Angeli S, Panetta C, et al. The effect of Definity on systemic and pulmonary hemodynamics in patients. J. Am. Soc. Echocardiogr. 2012;25(5):585–588.
18. Belcik JT, Davidson BP, Xie A, Wu MD, Yadava M, Qi Y, et al. Augmentation of muscle blood flow by ultrasound cavitation is mediated by ATP purinergic signaling. Circulation. 2017;135(13):1240–1252. pmid:28174191
19. Imaging LM. Definity. In: Insert P ed. N. Billerica, MA; 2013.
20. Wei K, Mulvagh SL, Carson L, Davidoff R, Gabriel R, Grimm RA, et al. The safety of deFinity and Optison for ultrasound image enhancement: a retrospective analysis of 78,383 administered contrast doses. J Am Soc Echocardiogr. 2008;21(11):1202–1206. pmid:18848430
21. Lindner J R, Womack L, Barrett EJ, Weltman J, Price W, Harthun NL, et al. 2008. Limb stress-rest perfusion imaging with contrast ultrasound for the assessment of peripheral arterial disease severity. JACC Cardiovasc Imaging 1:343–350. pmid:19356447
22. Wei K, Jayaweera AR, Firoozan S, Linka A, Skyba DM, Kaul S. 1998. Quantification of myocardial blood flow with ultrasound-induced destruction of microbubbles administered as a constant venous infusion. Circulation 97:473–483. pmid:9490243
23. Dawson D, Vincent MA, Barrett EJ, Kaul S, Clark A, Leong-Poi H, et al. 2002. Vascular recruitment in skeletal muscle during exercise and hyperinsulinemia assessed by contrast ultrasound. Am J Physiol Endocrinol Metab 282:E714–720. pmid:11832377
24. Vogel R, Indermuhle A, Reinhardt J, Meier P, Siegrist PT, Namdar M, et al. The quantification of absolute myocardial prefusion in humans by contrast echocardiography: algorithm and validation. J Am Coll Cardiol. 2005;45(5):754–762. pmid:15734622
25. Gonzalez-Alonso J, Olsen DB, Saltin B. Erythrocyte and the regulation of human skeletal muscle blood flow and oxygen delivery: role of circulating ATP. Circ Res. 2002;91(11):1046–1055. pmid:12456491
26. Joyner MJ, Casey DP. Regulation of increased blood flow (hyperemia) to muscles during exercise: a hierarchy of competing physiological needs. Physiol Rev. 2015;95(2):549–601. pmid:25834232
27. Rodgers GP, Schechter AN, Noguchi CT, Klein HG, Nienhuis AW, Bonner RF. Periodic microcirculatory flow in patients with sickle-cell disease. N Engl J Med. 1984;311(24):1534–1538. pmid:6504081
28. Rodgers GP, Schechter AN, Noguchi CT, Klein HG, Nienhuis AW, Bonner RF. Microcirculatory adaptations in sickle cell anemia: reactive hyperemia response. Am J Physiol. 1990;258(1 Pt 2):H113–120.
29. Cheung AT, Chen PC, Larkin EC, Duong PL, Ramanujam S, Tablin F, et al. Microvascular abnormalities in sickle cell disease: a computer-assisted intravital microscopy study. Blood. 2002;99(11):3999–4005. pmid:12010800
30. Sivamurthy KM, Dampier C, MacDermott M, Maureen M, Cahill M, Hsu LL. Peripheral arterial tonometry in assessing endothelial dysfunction in pediatric sickle cell disease. Pediatr Hematol Oncol. 2009;26(8):589–596. pmid:19954369
31. Lieu HD, Shryock JC, von Mering GO, Gordi T, Blackburn B, Olmsted AW, et al. Regadenoson, a selective A2A adenosine receptor agonist, causes dose-dependent increases in coronary blood flow velocity in humans. J Nucl Cardiol. 2007;14(4):514–520. pmid:17679059
32. Pharma A. Lexiscan [package insert]. Northbrook (IL). 2009.
33. Field JJ, Lin G, Okam MM, Majerus E, Keefer J, Onyekwere O, et al. Sickle cell vaso-occlusion causes activation of iNKT cells that is decreased by the adenosine A2A receptor agonist regadenoson. Blood. 2013;121(17):3329–3334. pmid:23377438
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2019 Lindner et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
In patients with sickle cell disease (SCD), poor outcome measures compromise the potential success of clinical trials. Contrast-enhanced ultrasound (CEUS) is a technique that can non-invasively quantify deep tissue microvascular blood flow. We tested the hypothesis that CEUS of forearm skeletal muscle could be used to: 1) assess microvascular abnormalities that occur during vaso-occlusive crisis; and 2) test new therapies for SCD that are targeted to improving the status of the microcirculation. We performed a prospective study, CEUS perfusion imaging of resting forearm muscle was performed in adults with SCD: 1) during and after a pain episode, and 2) before, during, and after a 24-hour infusion of the investigative agent, regadenoson, an adenosine A2A agonist. CEUS destruction-replenishment time-intensity data were analyzed to measure microvascular blood flow, as well as its components, microvascular blood volume and flux rate. Serial CEUS measurements were obtained in 32 adults with SCD. For the studies during crisis, there was a 30% reduction in microvascular blood flow compared to steady-state (p = 0.031), a reduction that was largely due to microvascular flux rate. For the regadenoson group, a non-significant 25% increase in flux rate and 9% increase in microvascular blood flow compared to baseline were detected during infusion. In a study of adults with SCD, CEUS detected changes in microvascular blood flow associated with vaso-occlusive crises. No changes were found during an infusion of the adenosine A2A agonist, regadenoson. This study provides preliminary evidence that CEUS could detect blood flow changes consistent with SCD physiology.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer