Original Article |
1 Childrens National Medical Center, Washington, DC;
2 University of Michigan, Ann Arbor, MI;
3 Howard University, Washington, DC and
4 Pulmonary and Vascular Medicine Branch, National Heart, Lung and Blood Institute, and Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
Correspondence: Victor R. Gordeuk, MD, Howard University, 2041 Georgia Ave. NW, Washington, DC 20060, USA., E-mail:vgordeuk{at}howard.edu
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Design and Methods: A prospective multicenter study of 310 patients aged 3–20 years old with sickle cell disease under basal conditions and 54 matched controls was conducted. A hemolytic index was generated by principal component analysis of the levels of lactate dehydrogenase, aspartate aminotransferase and bilirubin and reticulocyte count.
Results: Elevated jet velocity (defined as
2.60 m/sec based on the mean±2 SD in controls) occurred in 32 patients (11.0%) including one child of 3 years old. After adjustment for hemoglobin concentration, systolic blood pressure and left ventricular diastolic function, a 2 SD increase in the hemolytic index was associated with a 4.5-fold increase in the odds of elevated jet velocity (p=0.009) and oxygen saturation
98% with a 3.2-fold increase (p=0.028). Two or more episodes of acute chest syndrome had occurred in 28% of children with elevated jet velocity compared to in 13% of other children (p=0.012), more than ten units of blood had been transfused in 39% versus 18% (p=0.017) and stroke had occurred in 19% versus 11% (p=0.2). The distance walked in 6-minute walk tests did not differ significantly, but oxygen saturation declined during the tests in 68% of children with elevated jet velocity compared to in 32% of other children (p=0.0002).
Conclusions: According to a pediatric-specific definition the prevalence of elevated jet velocity in this population of young patients with sickle cell disease was 11%. The study provides evidence for independent associations of elevated jet velocity with hemolysis and oxygen desaturation. Further investigations should address whether elevated jet velocity may indicate future complications and whether early intervention is beneficial.
Key words: sickle cell disease, pulmonary hypertension, hemolysis, oxygen saturation, tricuspid regurgitant jet velocity, children.
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Pulmonary hypertension may develop in most forms of hereditary and chronic hemolytic anemia7–10 suggesting that there is a clinical syndrome of hemolysis-associated pulmonary hypertension. Nevertheless, an association between hemolysis and pulmonary hypertension in sickle cell disease has been questioned because, in most studies thus far, not all markers of hemolysis have had significant associations with estimated pulmonary artery pressure. For example, in a recent study of 62 children and adolescents with hemoglobin SS or Sβ° thalassemia,11 reticulocyte count had a significant association with jet velocity but hemoglobin, lactate dehydrogenase and bilirubin concentrations did not. Humans exposed to chronic hypoxia have a tendency to develop pulmonary hypertension.12 Patients with sickle cell disease may experience chronic hypoxia due to anemia, upper airway obstruction, chronic hemoglobin oxygen desaturation and repeated episodes of vasoocclusive pain crisis or acute chest syndrome.13–18 Hypoxia might, therefore, be a factor in the development of pulmonary hypertension in patients with sickle cell disease.
We conducted a multicenter study to determine prospectively the prevalence of elevated tricuspid regurgitant jet velocity in children and adolescents with sickle cell disease at baseline and to test the hypothesis that markers of hemolysis and hypoxia are both independently associated with increased jet velocity in patients with sickle cell disease.
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Enrollment of participants
The study was prospectively designed to enroll 600 patients with sickle cell disease and 100 controls and the present report presents the results of an analysis conducted shortly after the mid-point. Patients (n=310) 3 to 20 years of age with sickle cell disease confirmed by hemoglobin electrophoresis or high performance liquid chromatography were recruited at the Childrens National Medical Center and Howard University Hospital, Washington DC, and University of Michigan, Ann Arbor Michigan. A 10% prevalence of elevated tricuspid regurgitant jet velocity was hypothesized and the analysis of 310 patients provided the power to observe this prevalence with a 95% confidence interval of 6.5% to 14.5%. Controls (n = 54), who were matched by age, sex and ethnicity to every sixth patient recruited at each institution, included relatives and acquaintances of participants, and could not have been hospitalized or have presented to the emergency room with an acute illness in the previous 3 weeks. Children with sickle cell trait (n=12) and hemoglobin C trait (n=5) qualified as controls. Patients were invited to participate on a consecutive basis, as they presented for routine outpatient care; no attempt was made to select them by known or perceived risk factors. At least 3 weeks had to have elapsed since hospitalization, emergency department or clinic visit for acute chest syndrome, a pain crisis, infection or other sickle cell disease-related complication. The study was approved by the Institutional Review Board of each participating institution and written informed consent was obtained for all participants.
Clinical evaluation
The medical history was recorded on a standard form designed for this study and in general did not distinguish between active and past problems. An unencouraged 6-minute walk test was conducted according to the guidelines of the American Thoracic Society.19 Complete blood count and reticulocyte count were measured by a Beckman Coulter LH 750 Analyzer (Fullerton, CA, USA) at Howard University and the University of Michigan, and by a Sysmex 2100QC (Sysmex America, Inc., Mundelein, IL, USA) at the Childrens National Medical Center. Serum biochemistry was evaluated by a Beckman Coulter Unicel DXC800 at Howard University, by a RXL 2 Max, Model 973626 (Dade-Behring, Inc., Dover, DE, USA) at the Childrens National Medical Center and by a Siemens Advia 2400 (Deerfield, IL, USA) at the University of Michigan. Pulse oximetry was measured by a Criticare Model 506 Series (Waukesha, WI, USA) at Howard University, a Welch Allyn instrument (Beaverton, OR, USA) or a SureSigns VS3 No. 3000 (Philips Medical System, Andover, MA, USA) at the Childrens National Medical Center and by a Masimo Rad 8 Signal Extraction Pulse Oximeter at the University of Michigan.
Echocardiography
Transthoracic echocardiography was performed using a Philips Sonos 5500/7500 or iE33 (Philips Medical Systems, Best, Holland), Acuson Sequoa (Siemans Medical Systems, Mountain View, CA, USA), or General Electric VIVID 7 or VIVID I (General Electric, Milwaukee, WI, USA). All images were recorded digitally and subsequently reviewed on an offline digital work station. Cardiac images were obtained, measurements were performed, and the studies were interpreted according to the guidelines of the American Society of Echocardiography.20
Tricuspid regurgitation was assessed in the parasternal long and short-axes, and apical four-chamber views.21 To standardize across the spectrum of ages and body sizes, left ventricular dimensions was expressed as a standard deviation below or above the mean for body surface area (z-score) and left ventricular mass was indexed to body surface area.22 Left ventricular diastolic function was assessed by measuring the peak velocities of the mitral inflow E wave23 and the tissue Doppler E wave at the basilar segments of the left ventricular free wall and interventricular septum. Left atrial (and left ventricular filling) pressures were estimated by calculating the ratio of the mitral inflow E wave to the tissue Doppler E wave.24 Based on the mean ± 2 SD in the controls of this study, peak regurgitant jet velocities of 2.60 m/sec or more and mitral valve E/tissue Doppler E ratios of more than 9.22 were taken to be elevated. The echocardiograms were centrally reviewed. The study was designed to consider right-sided cardiac catheterization for participants found to have a jet velocity of 3.0 m/sec or more. Only one patient had a jet velocity in this range and the parents refused catheterization.
Statistical analysis
Statistical calculations were made by STATA 10.0 (College Station, TX, USA). Continuous variables were assessed for normality and skewed variables were transformed by the method that most closely approximated normality. Students t test and the Kolmogorov-Smirnov non-parametric test were used to compare continuous variables between patients with sickle cell disease and control subjects, and Pearsons
2 test was used to compare dichotomous variables. Bonferroni adjustments were made for multiple comparisons and for interim analysis. A logistic regression model of tricuspid regurgitant jet velocity less than 2.60 m/sec versus 2.60 m/sec or more was employed to assess the independent associations of prospectively chosen variables with elevated jet velocity.
Principle component analysis was performed to compute a new variable – a hemolytic index – that explained the maximum variance among reticulocyte count and age- and site-adjusted values for lactate dehydrogenase, aspartate aminotransferase and total bilirubin concentrations.25 Principal component analysis is useful for studying underlying mechanisms reflected in individual biological measurements.26 The hemolytic index is a normalized factor of the four hemolytic variables with mean of 0 and SD of 1.56. Because of the different reference ranges for the four markers of hemolysis among the three research sites, the computation of the hemolytic index was stratified by research site. The hemolytic index explained 61–64% of total variance of the four factors. It had correlations of r=0.82–0.90 with age-adjusted lactate dehydrogenase concentration, 0.74–0.88 with age-adjusted aspartate aminotransferase concentration, 0.76–0.82 with age-adjusted total bilirubin concentration and 0.57–0.77 with reticulocyte count.
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Table 1. Clinical characteristics of study participants. Results are median and interquartile range unless otherwise indicated.
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Figure 1. (A) Distribution of tricuspid regurgitant jet velocity in sickle disease patients and controls. (B) Distribution of ages in sickle cell disease patients with elevated jet velocity. (C) Correlation of jet velocity and the hemolytic index in sickle cell disease patients (N=290, r=0.35, p<0.0001). (D) Correlation of jet velocity and oxygen saturation in sickle cell disease patients (N=287, r=–0.20, p=0.001)
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Table 2. Clinical characteristics of sickle cell cases according to tricuspid regurgitant jet velocity category. Results are median and interquartile range unless otherwise indicated.
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Table 3. Distribution of markers prospectively hypothesized to be associated with pulmonary hypertension according to tricuspid regurgitant jet velocity category. Results are median and interquartile range; analyses adjusted for age and study site.
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Table 4. Independent associations of prospectively chosen clinical variables with elevated tricuspid regurgitant jet velocity in logistic regression analysis.
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Table 5. Prospectively chosen potential clinical correlates of pulmonary hypertension according to tricuspid regurgitant jet velocity category. Results in n. (%) unless otherwise stated; analyses adjusted for age and study site.
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As prospectively hypothesized, the results of this study support independent associations of markers of hemolysis and hypoxia with elevated tricuspid regurgitant jet velocity in children with sickle cell disease. Each of the clinical measurements that are recognized to reflect degree of hemolysis had associations with elevated jet velocity. A hemolytic index, derived by principal component analysis from lactate dehydrogenase, aspartate aminotransferase and bilirubin concentrations and reticulocyte count but not hemoglobin level, correlated with elevated jet velocity with a high degree of statistical significance. This correlation did not appear to merely reflect the degree of anemia, increased blood volume or cardiac output, because the hemolytic index was independently associated with increased odds of elevated jet velocity even after adjustment for hemoglobin concentration. Furthermore, the hemoglobin concentration did not have a significant independent effect on jet velocity in the logistic regression analyses, suggesting against a strong primary role of anemia in addition to the association with hemolysis. This observation is consistent with the view that a hemolytic vasculopathy contributes to pulmonary hypertension in sickle cell disease.28,29
Low hemoglobin oxygen saturation is associated with markers of hemolysis16,30,31 and increased risk of stroke in sickle cell disease.32 In this study, lower oxygen saturation correlated significantly with increased jet velocity even after adjustment for the hemolytic index. This finding is consistent with our study hypothesis that hypoxia itself, in addition to hemolysis, contributes to sickle cell-related pulmonary hypertension.
Left ventricular diastolic dysfunction is associated with mortality in sickle cell disease and may contribute to elevated pulmonary artery pressures,33 and elevated mitral valve E/tissue Doppler E ratio is a marker of left ventricular diastolic dysfunction.24 Only 5.3% of the patients with sickle cell disease had left ventricular diastolic dysfunction, as defined by a mitral valve E/tissue Doppler E ratio of greater than 9.22, and there was not a significant association of this ratio with elevated jet velocity in multivariate logistic regression analysis. Thus, left ventricular diastolic dysfunction seemed to be a relatively minor factor in the development of elevated jet velocity in this study.
As prospectively hypothesized, we obtained histories of significantly increased numbers of acute chest syndrome episodes and units of blood transfused in the patients with elevated jet velocity in this study.
Although almost twice as many patients with elevated jet velocity had a history of stroke, this difference was not statistically significant. About one-third of the children and adolescents in our data set who received more than ten transfusions were being treated for stroke, and it is conceivable that similar mechanisms are at play in cerebral and pulmonary vasculopathy.34 It is also possible that chronic transfusion therapy for stroke may have prevented the development of elevated jet velocity in some patients.
In contrast to our hypothesis and results of studies in adults, the elevated jet velocity in the children and adolescents in this study was not associated with a shorter distance covered in the 6-minute walk test. The reason for this lack of association is not clear, but it may be that limitation in the 6-minute walk test occurs only after systolic pulmonary artery pressure has been elevated for a certain length of time. Another potentially adverse physiological parameter related to the 6-minute walk test, a decrease in oxygen saturation of hemoglobin during the walk, was significantly more common in the patients with elevated jet velocity. Other studies have shown that oxygen desaturation during the 6-minute walk test is associated with mortality in patients with primary pulmonary hypertension35 and reflects pulmonary disease severity in those with secondary pulmonary hypertension.36
The associations of high jet velocity with a history of acute chest syndrome or blood transfusions and with oxygen desaturation during the 6-minute walk test suggest that children with elevated jet velocity may be at high risk of increased complications in later decades of life. Further investigations are, therefore, needed to clarify the clinical consequences of elevated jet velocity in children and adolescents, and to determine whether early intervention may prevent morbidity and early mortality.
CPM participated in designing the study, data collection and preparing the manuscript; CS participated in data collection and preparing the manuscript; AC participated in data collection and preparing the manuscript; SR participated in data collection and preparing the manuscript; GE participated in data collection and preparing the manuscript; ND participated in data collection; OO participated in data collection and preparing the manuscript; DD participated in data collection and preparing the manuscript; MN participated in data analysis and preparing the manuscript; GJK participated in designing the study and preparing the manuscript; MTG participated in designing the study and preparing the manuscript; OLC participated in designing the study, data collection and preparing the manuscript; VG participated in designing the study, data collection, data analysis and prepared the manuscript.
The authors reported no potential conflicts of interest.
Received for publication August 18, 2008. Revision received October 15, 2008. Accepted for publication October 17, 2008.
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