Abstract
Epidemiological studies support a hypothesis that pulmonary hypertension (PH) is a common complication of sickle cell disease (SCD) that is associated with a high risk of death and evolves as a complication of haemolytic anaemia. This fundamental hypothesis has been recently challenged and remains controversial. In order to further test this hypothesis in a large and independent cohort of SCD patients we obtained plasma samples from the Cooperative Study of Sickle Cell Disease (CSSCD) for analysis of a biomarker, N-terminal-pro brain natriuretic peptide (NT-proBNP), which is elevated in the setting of pulmonary arterial and venous hypertension. A NT-pro-BNP value previously identified to predict PH in adults with SCD was used to determine the association between the risk of mortality in 758 CSSCD participants (428 children and 330 adults). An abnormally high NT-proBNP level ≥160 ng/l was present in 27.6 % of adult SCD patients. High levels were associated with markers of haemolytic anaemia, such as low haemoglobin level (P<0.001), high lactate dehydrogenase (P<0.001), and high total bilirubin levels (P<0.007). A NT-proBNP level ≥160 ng/l was an independent predictor of mortality (RR 6.24, 95% CI 2.9–13.3, P<0.0001). These findings provide further support for an association between haemolytic anaemia and cardiovascular complications in this patient population.
Keywords: Sickle cell disease, pulmonary hypertension, brain natriuretic peptide, biomarkers, survival
INTRODUCTION
Sickle cell disease (SCD) is amongst the most common monogenetic diseases worldwide. (Weatherall and Clegg 2001) Cardiovascular complications, such as pulmonary hypertension (PH), are common in adults with SCD and proposed as a major cause of morbidity and mortality in these patients. (Ataga, et al 2006, De Castro, et al 2008, Gladwin, et al 2004) In population studies, PH has been evaluated by non-invasive transthoracic Doppler echocardiography, measuring the tricuspid regurgitant jet velocity (TRV) to estimate the pulmonary artery systolic pressure. While the TRV is a useful non-invasive screening tool for PH, definitive diagnosis requires right heart catheterization. In all epidemiological studies conducted to date, Doppler-estimated right ventricular systolic pressure >2 SD above the mean was common in adults with SCD (approximate 30% prevalence) and was associated with a 9.24–15.9 risk ratio for early death.(Ataga, et al 2006, De Castro, et al 2008, Gladwin, et al 2004) Similarly, the levels of N-terminal-pro brain natriuretic peptide (NT-proBNP), a biomarker released from the right or left ventricle under pressure stress, are elevated in 30% of adult SCD patients and a value above 160 ng/l in the National Institutes of Health (NIH) and multi-centre study of hydroxycarbamide (MSH) cohorts prospectively identifies a subgroup with more severe haemolytic anaemia and an increased prospective mortality risk (relative risk [RR] 5.1; 95% confidence interval [CI], 2.1–12.5; P<0.001; 19.5% absolute increase in risk of death).(Machado, et al 2006)
A major risk factor for the development of PH is chronic haemolytic anaemia. Despite the robust basic and epidemiological data suggesting that an increased TRV is common and associated with high mortality in patients with SCD (Ataga, et al 2006, Dasgupta, et al 2010, De Castro, et al 2008, Frei, et al 2008, Gladwin, et al 2004, Hill, et al 2010, Hsu, et al 2007, Kato, et al 2006, Kaul, et al 2004, Machado, et al 2006, Meyer, et al 2010, Minniti, et al 2009, Naoman, et al 2009, Nolan, et al 2006, Nolan, et al 2005, Onyekwere, et al 2008, Reiter, et al 2002, Voskaridou, et al 2007, Yeo, et al 2007, Yeo, et al 2009), the importance of this complication and the mechanistic link to haemolytic anaemia has been recently challenged.(Bunn, et al, 2010) In order to further test our data-driven hypothesis we obtained frozen plasma samples from the Cooperative Study of Sickle Cell Disease (CSSCD), for analysis of a biomarker, NT-proBNP, which is elevated in the setting of pulmonary arterial and venous hypertension or left-sided heart disease. The CSSCD was a prospective multi-centre registry study of 3764 patients with SCD.(Platt, et al 1994) This is the largest cohort of patients with SCD ever assembled with the longest median follow-up. While in the CSSCD population clinical events, such as acute chest syndrome, seizures and renal failure, and laboratory parameters, such as high white blood cell count and low fetal haemoglobin level, predicted early mortality, at the time of the study the presence and associated risk of PH was not appreciated.
Because NT-proBNP is stable in frozen plasma, the measurement of this biomarker enables an indirect but prospective assessment of the prevalence of and associated risk factors for developing PH 30 years ago in the SCD population and allowed us to test the hypothesis that patients with high levels of NT-pro BNP would be at a high risk of death.
METHODS
Study Patients
The design of the CSSCD is described elsewhere.(Gaston and Rosse 1982, Platt, et al 1994) The CSSCD was a prospective study of the clinical course of SCD in which more than 3764 patients were enrolled from birth to 66 years of age, at 23 clinical centres throughout the continental United States. Patients were enrolled at these centres between September 1978 and 1988 and were seen at regular intervals for laboratory evaluation and physical examination. Consent was obtained from all patients, their parents, or their legal guardians. The laboratory results analysed in this report were obtained at routine visits, not during acute illness. All acute and chronic complications were documented at the centres. Deaths were reported on a form that was completed by the centre investigator, regardless of whether deaths occurred at the study centre or elsewhere. The patient population was selected from CSSCD study subjects enrolled between September 1978 and 1988 who participated in Phase 2 (paediatric cohort, n=467) or Phase 2a (adult cohort, n=395), and was based on the availability of one or more serum samples stored at the study repository. A total of 758 patients with SCD (428 or 91.6% of patients in the paediatric cohort and 330 or 83.5% of patients in the adult cohort) who had at least one NT-proBNP level measured between 1989 and 1998 were selected for our analysis. A total of 1,269 samples were available for the analysis (Figure 1).
Figure 1. Plasma NT-proBNP Assessment in the Cooperative Study of Sickle Cell Disease.
The patient population was selected from CSSCD study subjects enrolled between September 1978 and 1988 who participated in Phase 2 (paediatric cohort, n=467) or Phase 2a (adult cohort, n=395), and was based on the availability of one or more serum samples stored at the study repository. A total of 758 patients with sickle cell disease (428 or 91.6% of patients in the paediatric cohort and 330 or 83.5% of patients in the adult cohort) who had at least one NT-proBNP level measured between 1989 and 1998 were selected for our analysis (w/ BNP). A total of 1,269 samples were available for the analysis.
1Age at entry: < 6 months (infants), 6 months-9 years (children), 10–19 (adolescents), = 20 years (adults)
2Includes samples with unknown sampling dates: n=114 (15%) for infant cohort, n=73 (14%) for adult cohort
N- terminal pro Brain Natriuretic Peptide (NT-pro-BNP) Measurement
Plasma NT–proBNP was measured by a sandwich immunoassay using polyclonal antibodies that recognize epitopes located in the N-terminal segment (1 to 76) of pro-BNP (1 to 108) (Elecsys analyser, Roche Diagnostics, Manheim, Germany). These samples were originally frozen and immediately stored at −−80 °C. The intra-assay and inter-assay coefficients of variation were 1.3%and 4.8%, respectively, and measurements have been previously performed in samples stored at −80°C for as long as15 years. (Kragelund, et al 2005)
Statistical Analysis
Results are presented as median and interquartile range (25th to 75th percentiles), 95% confidence interval (CI), or as a percentage of participants with characteristic, as appropriate. Two-sample Wilcoxon rank-sum tests were used to compare the medians of continuous variables in 2 groups.
An abnormal NT-proBNP level was prospectively defined as ≥ 160 ng/l in the adult cohort as this value has been associated with an increased risk of death in adults with SCD. Given that normal NT-proBNP levels are higher in the paediatric population than in adults, we used a more conservative threshold to define a high NT-proBNP level to be greater than or equal to the age-specific 75th percentile for the paediatric cohort.(Albers, et al 2006, Koch and Singer 2003, Koch, et al 2006, Mir, et al 2006, Mir, et al 2002, Nir, et al 2009) The primary analysis of the relationship between NT-proBNP level and mortality was performed in patients with a first sample with known draw date (n=691) taken before the event of interest (death). Follow-up time for this primary analysis was measured from that sample draw date to the event of interest or the end of follow-up.
Proportional hazards (Cox) regression was used to study relationships between mortality and NT-proBNP levels. Patients were censored at the point of their last contact with study staff if they did not have an event. The regression coefficients were tested for significant difference from zero by a likelihood ratio test. The risk ratio (hazard ratio) and 95% confidence interval (CI) for each predictor are shown. For dichotomous variables, the risk ratio is the ratio of the hazard rates from the proportional hazards model for the two levels of the predictor. For continuous variables, the risk ratio is the ratio of the estimated hazard rate for the 75th percentile compared to the rate for the 25th percentile, calculated as e coefficient x (75th percentile – 25th percentile). This estimate was chosen to provide a comparison among risk ratios for different continuous variables. Kaplan-Meier survival curves were calculated where indicated. Since this was a registry study, prospective power analysis was not performed.
Logistic models were used to investigate associations of a variety of factors with NT-proBNP. Predictors could be either dichotomous or continuous. Goodness of fit of the model was assessed using the Hosmer-Lemeshow statistic (Hosmer and Lemeshow 1989) and using a generalized coefficient of determination (R2). (Cox and Snell 1989, Magge 1990, Nagelkerke 1991) The overall significance of the model (i.e., that at least one predictor was significantly different from zero) was tested with a likelihood ratio test. The significance of a single predictor was tested as a Wald Chi-Square statistic (computed as the square of the ratio of the estimated coefficient to the standard error of the coefficient) compared to a chi-square distribution with one degree of freedom. All analyses were performed using SAS (Version 9.1, SAS Institute, Inc., Cary, NC), Stata (Version 9.0) or GraphPad Prism (Version 4.0, GraphPad Software, San Diego, CA). P-values < 0.05 were considered statistically significant.
RESULTS
The clinical characteristics of the patients evaluated in the study are shown in Table 1. Patients in the paediatric cohort had higher white blood cell counts and higher lactate dehydrogenase (LDH) and aspartate aminotransferase levels than patients in the adult cohort. Further, consistent with a higher burden of chronic organ dysfunction and iron overload, patients in the adult cohort had higher creatinine, total bilirubin, ferritin and uric acid levels than patients in the paediatric cohort.
Table 1.
Characteristics of Study Participants
| Paediatric Cohort | Adult Cohort | Overall | |||||
|---|---|---|---|---|---|---|---|
| Characteristic | N | Median (IQR) | N | Median (IQR) | P* | N | Median (IQR) |
| Age, years | 428 | 4 (2–6) | 330 | 36 (33–42) | <0.001 | 758 | 8 (4–35) |
| Female, N (%) | 428 | 198 (46.3) | 330 | 210 (63.6) | <0.001 | 758 | 408 (53.8) |
| Haemoglobin, g/l | 427 | 91 (77–104) | 330 | 91 (79–108) | 0.2 | 757 | 91 (78–105) |
| White blood cell count, × 109/l | 427 | 11.4 (8.3–14.8) | 330 | 9.9 (7.7–12.8) | <0.001 | 757 | 10.6 (8.0–13.8) |
| Reticulocyte count, × 109/l | 419 | 218.4 (115.2–380.4) | 330 | 236.4 (134–362.7) | 0.4 | 749 | 225.4 (127.4–369.8) |
| Fetal haemoglobin, % | 417 | 5.7 (2.6–10.2) | 264 | 2.8 (1.5–5.9) | <0.001 | 681 | 4.5 (2.0–8.8) |
| Creatinine, μmol/l | 411 | 35.4 (27–44) | 330 | 70.7 (62–88) | <0.001 | 741 | 53 (35–71) |
| Blood urea nitrogen, μmol/l | 307 | 2.5 (1.7–3.6) | 330 | 3.2 (2.1–4.2) | <0.001 | 637 | 2.9 (2.1–3.9) |
| Lactate dehydrogenase, u/l | 126 | 402 (290–522) | 328 | 331.5 (220–484) | 0.001 | 454 | 352 (239–494) |
| Alanine aminotransferase, u/l | 305 | 22 (14–29) | 329 | 21 (14–43) | 0.09 | 634 | 22 (14–33) |
| Aspartate aminotransferase, u/l | 406 | 47 (34–64) | 330 | 43 (27–65) | 0.01 | 736 | 45.5 (31–64) |
| Alkaline phosphatase, u/l | 401 | 193 (153–233) | 330 | 84.5 (62–118) | <0.001 | 731 | 148 (85–207) |
| Total bilirubin, μmol/l | 405 | 27 (15–44) | 330 | 32 (21–51) | <0.001 | 735 | 29 (17–46) |
| Ferritin, μg/l | 428 | 159 (89–286) | 330 | 431 (143–1012) | <0.001 | 758 | 210 (102–514) |
| Uric acid, μmol/l | 271 | 262 (208–309) | 330 | 363 (274–440) | <0.001 | 601 | 297 (238–375) |
From Wilcoxon or z-test between paediatric and adult cohorts.
Prevalence and Incidence of High NT-proBNP Levels
The prevalence of an abnormal NT-proBNP level ≥ 160 ng/l was 27.6 % in patients in the adult CSSCD cohort, which is consistent with previous reports.(Machado, et al 2006) Similarly, the prevalence of a NT-proBNP level ≥ 160 ng/l was 27.4 % in the paediatric cohort, which is at least partly explained by known higher normal NT-proBNP levels in children, especially during the first year of life (Figure 2).(Albers, et al 2006, Koch and Singer 2003, Koch, et al 2006, Mir, et al 2006, Mir, et al 2002, Nir, et al 2009) The incidence of the development of a high NT-proBNP level in subjects with a normal baseline level was 6 % over a mean follow-up time of 5.9 years (incidence rate per 100-person years of 1.03) in the paediatric cohort and 16.5 % over a mean follow-up time of 1.9 years in the adult cohort (incidence rate per 100-person years of 8.59).
Figure 2. Distribution of Patients with a High NT-proBNP Level ≥ 160 ng/l According to Age.
The prevalence of a high NT-proBNP level increases with age in adults. In the paediatric cohort this trend does not occur given the physiologically higher normal NT-proBNP levels in children, especially during the first year of life.
Association Between NT-proBNP Levels and Clinical and Biochemical Markers Provide Insight into the Mechanisms for Elevated NT-proBNP in Patients with SCD
In the paediatric cohort, univariate associations with a high NT-proBNP level included (Table 2) a low haemoglobin level (P <0.001), high reticulocyte count (P <0.001), high LDH (P = 0.001), high aspartate aminotransferase (P = 0.04), and high total bilirubin levels (P < 0.001) suggesting an association between NT-proBNP and the intensity of haemolytic anaemia. High NT-proBNP levels in the paediatric group were also associated with a high white blood cell count (P = 0.005), high ferritin level (P = 0.001) and a history of acute chest syndrome (P = 0.001). Similarly, in the adult cohort high NT-proBNP levels were also associated with markers of haemolytic anaemia, such as low haemoglobin level (P <0.001), high LDH (P < 0.001), and high total bilirubin levels (P < 0.007). The lack of correlation between NT-proBNP and reticulocyte count in adults might reflect dysregulated erythropoietin secretion due to renal dysfunction and suppressive effects of transfusions in the most severely affected adult patients that confounds the relationship between haemoglobin and reticulocyte count. Other variables associated with a high NT-proBNP level in the adult cohort included a high white blood cell count (P = 0.004), a higher fetal haemoglobin level (P = 0.02), high blood urea nitrogen (P = 0.007), high alkaline phosphatase (P = 0.006), high ferritin (P = 0.001) and high uric acid levels (P = 0.003). Interestingly, a history of stroke (P < 0.001), sepsis (P = 0.002) or leg ulcers (P = 0.01) were also associated with a high NT-proBNP level in the adult cohort. It is notable that elevations in NT-proBNP show correlations with many of the classically defined mortality risk factors in SCD.
Table 2.
Univariate Associations with NT-proBNP* by Cohort
| Paediatric Cohort | Adult Cohort | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Low BNP | High BNP | Low BNP | High BNP | |||||||
| Characteristic | N | Median | N | Median | P† | N | Median | N | Median | P† |
| Age, years | 302 | 4.0 | 126 | 4.0 | 0.8 | 221 | 35 | 109 | 37 | 0.2 |
| Haemoglobin, g/l | 302 | 94 | 125 | 83 | <0.001 | 221 | 97 | 109 | 82 | <0.001 |
| White blood cell count, × 109/l | 302 | 10.8 | 125 | 12.4 | .005 | 221 | 9.4 | 109 | 10.5 | 0.004 |
| Reticulocyte count, × 109/l | 298 | 187.6 | 121 | 279.8 | <0.001 | 221 | 221.8 | 109 | 265.9 | 0.07 |
| Fetal haemoglobin, % | 295 | 5.9 | 122 | 5.5 | 0.5 | 174 | 2.5 | 90 | 3.7 | 0.02 |
| Creatinine, μmol/l | 291 | 35.3 | 120 | 35.3 | 0.1 | 221 | 70.7 | 109 | 70.7 | 0.2 |
| Blood urea nitrogen, μmol/l | 220 | 2.9 | 87 | 2.5 | 0.1 | 221 | 2.9 | 109 | 3.2 | 0.007 |
| Lactate dehydrogenase, u/l | 86 | 362 | 40 | 457.5 | 0.001 | 219 | 300 | 109 | 412 | <0.001 |
| Alanine aminotransferase, u/l | 214 | 21 | 91 | 22 | 0.4 | 220 | 22 | 109 | 21 | 0.2 |
| Aspartate aminotransferase, u/l | 288 | 45.5 | 118 | 52 | 0.04 | 221 | 41 | 109 | 46 | 0.3 |
| Alkaline phosphatase, u/l | 284 | 194.5 | 117 | 180 | 0.1 | 221 | 81 | 109 | 93 | 0.006 |
| Total bilirubin, μmol/l | 288 | 24 | 117 | 36 | <0.001 | 221 | 29 | 109 | 39 | 0.007 |
| Ferritin, μg/l | 302 | 145 | 126 | 199 | 0.001 | 221 | 337 | 109 | 665 | 0.001 |
| Uric acid, μmol/l | 193 | 256 | 78 | 274 | 0.2 | 221 | 345 | 109 | 375 | 0.003 |
| Event History | N | % | N | % | P§ | N | % | N | % | P§ |
| Pain crisis | 240 | 79.5 | 107 | 84.9 | 0.2 | 160 | 72.4 | 88 | 80.7 | 0.1 |
| Acute chest syndrome | 177 | 58.6 | 95 | 75.4 | 0.001 | 73 | 33.0 | 43 | 39.5 | 0.3 |
| Seizures | 10 | 3.3 | 6 | 4.8 | 0.5 | 6 | 2.7 | 8 | 7.3 | 0.05 |
| Sepsis | 63 | 20.9 | 31 | 24.6 | 0.4 | 13 | 5.9 | 18 | 16.5 | 0.002 |
| Leg ulcer | 0 | 0 | 0 | 0 | -- | 28 | 12.7 | 26 | 23.9 | 0.01 |
| Priapism (males only) | 13 | 7.9 | 7 | 10.8 | 0.5 | 2 | 2.3 | 2 | 6.3 | 0.3 |
Dichotomized using 160 ng/l (adults) or age-specific 75th percentile (paediatric)
From Wilcoxon test comparing medians between low and high BNP groups.
From Chi-squared test of independence between event history and BNP.
Table 3 illustrates the results of a multivariate logistic regression analysis of independent clinical and laboratory factors associated with a high NT-proBNP level. In the paediatric cohort these factors included low haemoglobin, high reticulocyte count and total bilirubin levels, while in the adult cohort these factors included increasing age, low haemoglobin level, high blood urea nitrogen level and high LDH level. When data from both cohorts were combined a low haemoglobin level and a high blood urea nitrogen level were independently associated with a high NT-proBNP level.
Table 3.
Logistic Regression Analysis of NT-proBNP* by Cohort
| Independent Variable | OR† (95% CI) | P‡ | P§ |
|---|---|---|---|
| Paediatric | |||
| Haemoglobin, g/l | 0.60 (0.4–0.9) | 0.03 | 0.003 |
| Reticulocyte count, × 109/l | 1.37 (0.9–1.9) | 0.08 | 0.006 |
| Total bilirubin, μmol/l | 1.35 (1.0–1.7) | 0.03 | 0.002 |
|
| |||
| Adult | |||
| Age, years | 1.37 (1.0–1.9) | 0.05 | 0.0007 |
| Haemoglobin, g/l | 0.35 (0.2–0.6) | <0.0001 | <0.0001 |
| Blood urea nitrogen, μmol/l | 1.53 (1.1–2.1) | 0.006 | <0.0001 |
| Lactate dehydrogenase (u/l) | 1.52 (1.0–2.2) | 0.03 | 0.02 |
|
| |||
| Overall | |||
| Haemoglobin, g/l | 0.38 (0.3–0.5) | <0.0001 | <0.0001 |
| Blood urea nitrogen, μmol/l | 1.31 (1.1–1.6) | 0.006 | <0.0001 |
Dichotomized using 160 ng/l (adults) or age-specific 75th percentile (paediatric)
Expressed as 75th percentile relative to 25th percentile. OR is adjusted for the other variables listed in the model
From Wald χ2 test on (estimated coefficient/estimated standard error) from logistic regression model of dichotomized NT-proBNP
From Student’s t-test of Ho (estimated coefficient equals zero) from linear regression model of continuous NT-proBNP
Relationship Between NT-proBNP and Mortality
During a median follow up time of 41 months in the overall cohort, 14 deaths (3.3 % of patients) occurred in the paediatric cohort and 27 deaths (8.2 % of patients) occurred in the adult cohort. Table 4 illustrates a proportional hazards regression analysis of the risk of death according to NT-proBNP level in the study cohorts. A high NT-proBNP level ≥ 160 ng/l was a univariate predictor of mortality by proportional hazards regression analysis (RR 6.24, 95% CI 2.9–13.3, P < 0.001) in the whole cohort (Figure 3A). The relationship was also significant when age of death was used in the proportional hazards regression analysis (RR 4.58, 95% CI 2.1–9.8, P < 0.001; Figure 3B). Similarly, in a multivariate model including the cohort-specific risk factors for death (Table 4), the risk ratio for death of patients with a NT-proBNP level ≥ 160 ng/l when compared with those with levels < 160 ng/l was 6.94 (95% CI 3.0–16.2, P < 0.001) when time to death was used in the analysis, and 5.38 (95% CI 2.3–12.7, P < 0.001) when age of death was used in the analysis.
Table 4.
Cox Proportional Hazards Regression Analysis of Mortality Associated with High NT-proBNP
| High NT-proBNP Level* | ||||
|---|---|---|---|---|
| Unadjusted | Adjusted† | |||
| RR (95% CI) | P‡ | RR (95% CI) | P‡ | |
| Paediatric Cohort | ||||
| Time to event§ | 2.34 (0.8–7.0) | 0.1 | 2.24 (0.8–6.7) | 0.1 |
| Age at event | 2.34 (0.8–7.0) | 0.1 | 2.20 (0.7–6.6) | 0.2 |
|
| ||||
| Adult Cohort | ||||
| Time to event§ | 9.64 (3.7–24.8) | <0.001 | 7.72 (2.9–20.4) | <0.001 |
| Age at event | 5.77 (2.2–14.8) | <0.001 | 6.69 (2.4–18.5) | <0.001 |
|
| ||||
| Overall Cohort | ||||
| Time to event§ | 6.24 (2.9–13.3) | <0.001 | 6.87 (3.0–16.0) | <0.001 |
| Age at event | 4.58 (2.1–9.8) | <0.001 | 5.42 (2.3–12.9) | <0.001 |
≥ 75th percentile (age specific) for paediatric cohort; ≥ 160 ng/l for adult cohort
Adjusted for risk factors of death: sepsis (paediatric cohort); age, creatinine, white cell count, acute chest syndrome, seizures, stroke (adult cohort)
From Wald χ2 test on estimated coefficient/estimated standard error
Months from first sample date for analysis of first sample; months from end of Phase I for analysis of any sample
Figure 3. Kaplan–Meier Survival Curves According to NT-proBNP Level.
The survival rate (A) and age of death (B) were significantly higher among patients with a low plasma NT-proBNP level than among those with a high plasma NT-proBNP level (P< 0.001).
As shown in Table 4, the association between a high NT-proBNP level ≥ 160 ng/l and mortality was stronger in the adult than in the paediatric cohort. This association was strengthened across all cohorts when any available NT-proBNP level was used in the analysis, this was probably related to a larger sample size and a greater number of deaths in this larger patient sample.
DISCUSSION
Vascular complications have clearly emerged as a major threat to the well being of individuals with SCD. Here we show that the cardiovascular marker NT-proBNP identifies patients with SCD at high risk of death. Further, our results confirm that NT-proBNP elevation is common in patients with SCD, and is strongly associated with increased the intensity of haemolytic anaemia, age, renal insufficiency and iron overload. These associations are the same as those we have reported associated with high estimated pulmonary artery systolic pressures in adult patients with SCD.(Gladwin, et al 2004) Remarkably, our data suggest that NT-proBNP levels provide additional prognostic information that is independent of that of the traditional risk factors established previously in the CSSCD.
Brain natriuretic peptide (BNP) is a hormone released from the cardiac ventricles in response to cardiomyocyte stretch, and high levels reflect cardiac chamber volume and pressure overload. Synthesized as a prohormone that is split into an active component and an inactive N-terminal fragment (NT-proBNP), BNP produces systemic vasodilation and natriuresis, inhibits the sympathetic nervous system and the renin-angiotensin-aldosterone system and promotes natriuresis.(Hall 2004, Levin, et al 1998) The prognostic importance of this hormone has been demonstrated in several cardiovascular disorders.(Di Angelantonio, et al 2009) Further, we have previously shown in two different well-characterized groups of patients with SCD that a high NT-proBNP level is a major predictor of risk of death in these patients.(Machado, et al 2006) In our study, NT-proBNP levels correlated with markers of pulmonary arterial hypertension and right ventricular dysfunction to a greater extent than markers of left ventricular dysfunction. Taken together with other reports,(Anthi, et al 2007) these data suggest that although the aetiology of PH is likely to be multifactorial, pulmonary vascular disease is the predominant pathophysiological process responsible for the PH observed in patients with SCD. Furthermore, in the absence of left ventricular dysfunction and renal insufficiency (Wang and Lai 2008), elevations in NT-proBNP levels are likely to reflect pulmonary vascular disease.
The associations between NT-proBNP levels and certain laboratory and clinical parameters provide insight into the mechanisms associated with the development of cardiovascular complications and an increased risk of death in patients with SCD. Our data suggest that in the adult cohort the number of episodes of vaso-occlusive crisis and the acute chest syndrome are not independently associated with NT-proBNP elevations. This is consistent with previous observations suggesting that PH, a major NT-proBNP-linked risk factor for death in adults with SCD, is not associated with the rate of vaso-occlusive events. (Gladwin, et al 2004, Machado, et al 2006) Overall, the strongest laboratory associations with NT-proBNP elevations included markers of the severity of haemolytic anaemia, such as low haemoglobin level and high levels of serum LDH and bilirubin, and in the paediatric cohort, a high reticulocyte count. Further, analysis of variables associated with the development of a high NT-proBNP identified markers of severity of haemolysis together with increasing age and markers of renal and hepatic dysfunction as risk factors for the development of an abnormal NT-proBNP level. Our current analysis of CSSCD data is consistent with our previous mechanistic data and models suggesting that the presence of high-grade haemolysis is a major risk factor for death in patients with SCD. These observations are also consistent with the results of a study of 84 patients with sickle cell/β-thalassemia demonstrating that high a NT-proBNP level was associated with increased reticulocyte count and ferritin level. (Voskaridou, et al 2007)
The importance of PH in the sickle cell population, in terms of prevalence and associated morbidity/mortality, and the mechanistic link to haemolytic anaemia has been recently severely challenged by Bunn et al. (2010) Despite the fact that more than 18 cohort studies have consistently associated the severity of haemolytic anaemia with increasing TRV or risk of death, including the NIH-PH cohort,(Gladwin, et al 2004) the Duke cohort,(De Castro, et al 2008) the University of North Carolina cohort,(Ataga, et al 2006) the MSH cohort,(Machado, et al 2006) the PUSH cohort,(Minniti, et al 2009, Naoman, et al 2009, Onyekwere, et al 2008) and a recently published Greek study (Voskaridou, et al. 2010), Bunn et al. (2010) have challenged the results of these larger studies by citing selected underpowered studies. For example, they suggest that De Castro et al. (2008) examined 125 adults and saw no association between LDH and TRV, however this finding was actually in a smaller subgroup of 75 HbSS patients and the haemoglobin levels were significantly lower (7.4 vs. 8.5; P=0.002) in the high TRV group.(De Castro, et al 2008) They cite a study of Pashankar et al. (2008) who examined 62 children and showed significantly higher reticulocytosis suggestive of higher haemolytic rate; follow-up with added patients also showed a strong correlation with low haemoglobin as well (p=0.003).(Pashankar, et al 2009)
While haemolytic anaemia is an independent and contributing risk factor for vasculopathic complications of SCD, such as PH, sudden death, leg ulcers, and priapism, we recognize that this does not occur in isolation. We have duly noted that priapism and leg ulcers occur more frequently in patients with SCD than in patients with other haemolytic diseases such as paroxysmal nocturnal haemoglobinuria, spherocytosis, and pyruvate kinase deficiency, representing the contribution of sickle vaso-occlusion and inflammatory injury to haemolytic injury. This is particularly evident in priapism, where an association with indices of haemolysis and inflammation is present.(Nolan, et al 2005) While not the only mechanism for vascular disease, haemolytic anaemia represents a major independent attributable risk factor.
The performance of NT-proBNP as a marker of increased risk of death was different between the paediatric and the adult cohorts as the association between a high NT-proBNP level and the risk of death was only significant in the adult cohort. These dissimilarities probably reflect the differences between the major causes of death between children and adults with SCD. Multiple paediatric cohort studies suggest that death in children in SCD has been most commonly related to bacterial infection or severe vaso-occlusive events, such as acute chest syndrome and multiorgan failure syndrome.(Gill, et al 1995, Lee, et al 1995, Quinn, et al 2004) In contrast, the risk of death in adulthood appears to be more commonly linked to cardiovascular complications such as PH,(Ataga, et al 2004, Gladwin, et al 2004, Machado, et al 2006, Steinberg, et al 2003) which are more likely to be reflected by changes in NT-proBNP levels. Our study could also be underpowered to detect significant differences in mortality given the small number of deaths in the infant/paediatric cohort. Finally, relatively few children in CSSCD were followed until death, and blood samples were not available from the adolescent cohort, limiting the power of our study to establish childhood risk markers of future mortality.
In conclusion, our results suggest that a high NT-proBNP level is a major risk factor for death in patients with SCD. Our findings also provide further support for a mechanistic link between haemolytic anaemia and the development of cardiovascular complications in this patient population. This adverse prognostic marker might be considered as a potential eligibility criterion for investigational or high-risk interventions, such as haematopoietic stem cell transplantation or gene therapy.
Acknowledgments
This study was supported by National Institutesof Health Intramural Research Funds. Roberto Machado receives grant support from the NHLBI (K23HL098454). Mark T. Gladwin has received research support in the form of a Collaborative Research and Development Agreement between the US Government and Ikaria INO Therapeutics and is listed as a co-inventor on a US Government Patent for the use of nitrite salts for cardiovascular indications. Dr. Gladwin receives grant support from the Institute of Transfusion Medicine, the Hemophilia Center of Western Pennsylvania and Federal funding by the NHLBI, NIDDK and NIAMS of the National Institutes of health (NIH grants R01HL098032, RO1HL096973, RC1DK085852, P30AR058910).
Footnotes
Author Contributions
Study concept and design: Machado, Kato, Gladwin.
Acquisition of data: Machado, Mendelsohn, Gladwin.
Analysis and interpretation of data: Machado, Mendelsohn, Hildesheim, Remaley, Kato, Gladwin.
Drafting of the manuscript: Machado, Hildesheim, Gladwin.
Critical revision of the manuscript for important intellectual content: Machado, Hildesheim, Mendelshon, Kato, Reamley, Gladwin.
Statistical analysis: Hildesheim.
Conflict of Interest
The authors have no conflicts of interest to disclose.
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