Abstract
Summary
Background and objectives
Sickle cell nephropathy begins in childhood and may progress to renal failure. Albuminuria is a sensitive marker of glomerular damage that may indicate early chronic kidney disease (CKD).
Design, setting, participants, & measurements
The aims of this study were to determine the cross-sectional prevalence and clinical correlates of albuminuria and CKD among children with sickle cell disease (SCD). Over a 10-year period (1995 to 2005) 410 pediatric SCD patients ages 2 to 21 years were enrolled: 261 with hemoglobin SS (HbSS) or HbSβ0 thalassemia (HbSβ0) and 149 with HbSC or HbSβ+ thalassemia (HbSβ+). The albumin/creatinine ratio (ACR) of spot-urine specimens and serum creatinine were measured; abnormal albuminuria was defined as urinary ACR ≥ 30 mg/g.
Results
The prevalence of abnormal albuminuria was 20.7% (23.0% in HbSS/HbSβ0, 16.8% in HbSC/HbSβ+). Among HbSS/HbSβ0, abnormal albuminuria was associated with increasing age and lower baseline hemoglobin. GFR, estimated in 189 patients using the updated Schwartz formula, correlated negatively with age (r = −0.27, P = 0.0002). CKD defined according to the Kidney Disease: Improving Global Outcomes study was present in 26.5% (50 of 189) of patients: stage 1 in 27 (14.8%) and stage 2 in 22 (11.6%). In multivariate analysis, age and HbSC/HbSβ+ genotype were associated with CKD.
Conclusions
This is the first study to stage CKD in children with SCD and highlights a high prevalence of albuminuria and glomerular injury early in life. Detecting CKD in childhood could allow for earlier intervention and prevention of renal failure in adulthood.
Introduction
Sickle cell disease (SCD) is an autosomal recessive disorder due to a mutation in the β-globin gene of hemoglobin that causes red blood cell sickling, vaso-occlusion, and hemolysis. SCD may occur as homozygous inheritance of hemoglobin S (HbS), compound heterozygous inheritance of HbS with other β-globin mutations such as hemoglobin C, or quantitative mutations that result in decreased or absent β-globin synthesis (hemoglobin β+ and β0 thalassemia, respectively). Hemoglobin SS (HbSS) and HbSβ0 are clinically identical disorders that are associated with severe anemia and disease complications, whereas HbSC and HbSβ+ thalassemia tend to have fewer and less severe acute complications. Chronic organ damage, including renal damage, is a feature of all forms of SCD.
Nephropathy is a serious complication of SCD that begins in childhood and may progress to overt renal failure (1). Sickle cell nephropathy involves damage to multiple structures within the kidney, including the glomeruli within the renal cortex and the renal tubules and vasa recta within the hypoxic, hyperosmolar renal medulla. ESRD develops in 4.2 to 11.6% of adults with HbSS and is an independent predictor of premature mortality in young adults (1,2). Common clinical markers of renal function such as serum creatinine are not reliable indicators of early stage glomerulopathy in SCD because of the increased GFR, lower muscle mass, and increased tubular secretion of creatinine in individuals with SCD (3–5).
Glomerular changes begin as early as the first decade of life in otherwise asymptomatic SCD patients (6). Early glomerular changes in SCD are characterized by high renal blood flow, glomerular hyperfiltration and hypertrophy (6–9), and a gradual loss of glomerular filtration permselectivity such that larger molecules such as albumin abnormally permeate the restrictive pores of the glomerular capillary wall. Thus, albuminuria is a sensitive and early clinical marker of glomerulopathy (10,11). We previously demonstrated a significant loss of glomerular permselectivity and ultrafiltration coefficient in albuminuric adults with SCD and normal GFR, with the greatest reductions in permselectivity observed in patients with renal insufficiency, suggesting that progressive glomerular injury is a major determinant in the development of renal failure in SCD (11,12). Additionally we demonstrated that the ultrafiltration coefficient correlates inversely with the fractional clearance of albumin, providing evidence that albuminuria is a reliable indicator of sickle glomerulopathy (12). Moreover, abnormal albuminuria becomes increasingly prevalent with age and occurs in most adults with SCD (13). In our study of SCD patients at the Georgia Comprehensive Sickle Cell Center, we found that 68% of adults with HbSS and 42% of adults with non-HbSS SCD had abnormal albuminuria. In adults 40 years of age and older, these frequencies increased to 79% for HbSS and 59% for non-HbSS SCD (13). Other cohort studies of younger populations have shown abnormal albuminuria in 16% to 28% of children and young adults with HbSS and HbSβ0 (14–18).
The aims of this study were to define the cross-sectional prevalence of chronic kidney disease (CKD) and albuminuria among a large population of children and adolescents with SCD of all hemoglobin genotypes and to determine if clinical variables including baseline hematologic parameters are associated with increased prevalence of albuminuria and CKD in a subset of this cohort.
Materials and Methods
Patient Population
A cross-sectional observational study of albuminuria in pediatric SCD patients was undertaken at the Georgia Comprehensive Sickle Cell Clinic of Grady Memorial Hospital from 1995 to 2005. The institutional review board of Emory University granted approval of this study, in accordance with the Declaration of Helsinki, and written informed consent was obtained from the patients or guardians. During the study period, approximately 450 active pediatric patients (at least one visit per year) were followed at this center. Patients aged 2 to 21 years with HbSS or a compound heterozygous SCD genotype were eligible for enrollment. Patients were enrolled at the time of a routine outpatient clinic visit. Samples were not collected when patients had pain crisis, acute illness, symptoms suggestive of urinary tract infection, or gross hematuria. All testing was performed on single random-spot, clean-catch specimens. Baseline hematologic parameters (white blood cell, hemoglobin, platelet count, reticulocyte counts), serum creatinine, and other clinical parameters were collected by retrospective review of medical records and reflect measurements done either on the same date or on the most recent well-visit encounter.
Laboratory Studies
Urinary albumin was measured by RIA (DPC Laboratories, Los Angeles, CA). Urinary creatinine was measured by kinetic modification of the Jaffé reaction using a Beckmann II creatinine analyzer (Beckman Instruments, Fullerton, CA). Albumin/creatinine ratio (ACR) was expressed as milligrams of albumin per gram of urinary creatinine. Albuminuria was categorized as follows: normoalbuminuria was defined as ACR < 30 mg/g, microalbuminuria as ACR 30 to 299 mg/g, and macroalbuminuria as ACR ≥ 300 mg/g. The estimated GFR (eGFR) was calculated using the updated pediatric Schwartz formula: eGFR = 0.413 × (height in cm)/(serum creatinine in mg/dl) (19). One calculated eGFR value >400 ml/min per 1.73 m2 corresponded to a serum creatinine of 0.1 mg/dl and was excluded from analysis because of presumed inaccuracy. CKD was classified according to international consensus guidelines as follows: stage 1, kidney damage (including albuminuria) and GFR ≥ 90 ml/min per 1.73 m2; stage 2, kidney damage with GFR 60 to 89 ml/min per 1.73 m2; stage 3, GFR 30 to 59 ml/min per 1.73 m2; stage 4, GFR 15 to 29 ml/min per 1.73 m2; stage 5, kidney failure with GFR <15 ml/min per 1.73 m2 (20).
Statistical Analyses
The primary outcome variable was detection of abnormal albuminuria, defined as ACR ≥ 30 mg/g. Patients were stratified by hemoglobin genotype into two groups: HbSS/HbSβ0 and HbSC/HbSβ+. For statistical comparisons, one patient with HbSD was categorized in the HbSS/HbSβ0 group, and one patient with HbS-Lepore was categorized in the HbSC/HbSβ+ group. The chi-squared test comparison was used to compare the prevalence of albuminuria by hemoglobin genotype, age group, and chronic transfusion status. Associations of albuminuria with age and hematologic parameters (white blood cell, hemoglobin, platelet, and reticulocyte counts) were assessed by the t test or Wilcoxon rank sum test, as appropriate. ANOVA was used to compare eGFR values in patients with HbSS/HbSβ0 versus HbSC/HbSβ+. The Breslow–Day test was used to examine the interactions of gender and age. Pearson correlation coefficient (r) was calculated to assess the linear relationships of eGFR with ACR and age. A multivariable logistic regression analysis model of CKD was constructed using a stepwise selection process; introducing the variables hemoglobin genotype, age, gender, baseline hemoglobin, and chronic transfusion therapy; and eliminating variables NS at α = 0.15. Odds ratios for categorical variables were calculated by maximal likelihood estimates analysis. Statistical analysis was performed using the SAS version 9.2 (SAS Institute, Cary, NC) statistical software package.
Results
Patient Characteristics
The study cohort consisted of 410 patients (214 male, 196 female) ranging in age from 2 to 21 years (mean 11.3 years). Patient clinical characteristics are shown in Table 1. Enrollment consisted of 101 patients from 1995 to 2000 and 309 patients from 2001 to 2005. There were 256 (62.4%) with HbSS, 117 (28.5%) with HbSC, 31 (7.6%) with HbSβ+, 4 (1.0%) with HbSβ0, 1 with (0.2%) HbSD, and 1 with (0.2%) HbS-Lepore. Forty patients (39 HbSS and 1 HbSβ+) were receiving chronic transfusion therapy at the time of study enrollment. Only 17 patients (6.5% of the HbSS/HbSβ0 group) were receiving hydroxyurea therapy. Three patients with macroalbuminuria previously had kidney biopsies for evaluation of proteinuria revealing glomerulosclerosis and mesangial hypercellularity, consistent with sickle nephropathy. No patients were receiving angiotensin-converting enzyme inhibitor or angiotensin receptor blockade medications during the study.
Table 1.
Patient characteristics of 410 children ages 2 to 21 years with sickle cell disease
| HbSS, Sβ0 Thalassemia | HbSC, Sβ+ Thalassemia | Total | |
|---|---|---|---|
| n | 261 | 149 | 410 |
| Age (years) | 11.3 ± 4.6 | 11.5 ± 4.4 | 11.4 ± 4.5 (2.0 to 21.7) |
| Gender (male/female) | 134/127 | 81/68 | 215/195 |
| Body mass index (kg/m2) | 17.8 ± 4.1 | 19.7 ± 6.3 | 18.6 ± 5.2 (10.6 to 59.4) |
| Chronic transfusion therapy | 39 | 1 | 40 |
| Hydroxyurea therapy | 17 | 0 | 17 |
| Serum creatinine (mg/dl) | 0.46 ± 0.35 | 0.57 ± 0.17 | 0.50 ± 0.30 (0.2 to 1.2) |
Continuous variables are expressed as the mean ± 1 SD (range).
Albuminuria
In the entire SCD cohort (HbSS/HbSβ0 and HbSC/HbSβ+ groups), the prevalence of abnormal albuminuria (≥30 mg/g) was 20.7% (85 of 410 patients). Mean ACR was 25.3 mg/g, and median ACR was 10.1 mg/g (range 0.2 to 429.6 mg/g). Three patients had macroalbuminuria (≥300 mg/g), all with the HbSS genotype. The mean age of patients with abnormal albuminuria was older than in those with normal-range albuminuria (13.0 versus 11.0 years, P = 0.0001), and ACR correlated positively with age (r = 0.19, P < 0.0001).
Characteristics of patients with and without abnormal albuminuria, stratified by SCD genotype, are given in Table 2. In the HbSS/HbSβ0 group, 60 of 261 (23.0%) had abnormal albuminuria ≥30 mg/g, and in the HbSC/HbSβ+ group, 25 of 149 (16.8%) had abnormal albuminuria (P = 0.14). Abnormal albuminuria was associated with age in the HbSS/HbSβ0 group (P < 0.0001) but not in the HbSC/HbSβ+ group (P = 0.53). In the HbSS/HbSβ0 group, abnormal albuminuria occurred in 4 of 58 (6.9%) patients ages 2 to 6 years, 21 of 105 (20.0%) patients ages 7 to 12 years, and 35 of 98 (35.7%) patients ages 13 to 19 years (P = 0.0001).
Table 2.
Comparison of age and baseline hematologic parameters in 410 sickle cell patients with and without abnormal albuminuria
| Hematologic Parameters | HbSS, Sβ0 Thalassemia (n = 261) |
HbSC, Sβ+ Thalassemia (n = 149) |
||||
|---|---|---|---|---|---|---|
| Abnormal Albuminuria (≥30 mg/g) | Normal Albuminuria (<30 mg/g) | P | Abnormal Albuminuria (≥30 mg/g) | Normal Albuminuria (<30 mg/g) | P | |
| n (%) | 60 (23.0) | 201 (77.0) | 25 (16.8) | 124 (83.2) | ||
| Age (years) | 13.5 ± 4.4 | 10.7 ± 4.5 | <0.01 | 12.0 ± 4.3 | 11.4 ± 4.4 | 0.53 |
| Gender (male/female) | 27/33 | 107/94 | 0.26 | 10/15 | 71/53 | 0.11 |
| Chronic transfusions (%) | 11 (18.3) | 28 (13.9) | 0.40 | 0 | 1 (0.7) | 1.00 |
| Hydroxyurea (%) | 4 (6.7) | 13 (6.5) | 1.00 | 0 | 0 | NA |
| In patients not on chronic transfusions | ||||||
| WBC (103/mm3) | 11.3 ± 2.6 | 11.7 ± 3.8 | 0.31 | 8.6 ± 3.7 | 8.1 ± 3.3 | 0.52 |
| Hb (g/dl) | 8.17 ± 1.47 | 8.66 ± 1.40 | 0.04 | 11.51 ± 1.18 | 11.30 ± 1.26 | 0.45 |
| ARC (103/mm3) | 277 ± 114 | 292 ± 121 | 0.43 | 123 ± 41 | 129 ± 56 | 0.48 |
| platelets (106/mm3) | 427 ± 148 | 406 ± 127 | 0.38 | 288 ± 119 | 277 ± 117 | 0.69 |
Continuous variables are expressed as the mean ± 1 SD. NA, not applicable; WBC, white blood cell count; Hb, hemoglobin; ARC, absolute reticulocyte count.
The median ACR was higher in females than in males (median 12.0 mg/g versus 9.4 mg/g, P = 0.03). Abnormal albuminuria occurred more often in female patients (24.5% of females versus 17.3% of males); however, this did not reach statistical significance (relative risk 1.57, 95% confidence interval [CI] 0.97 to 2.54, P = 0.07). In females, urinary albumin was higher (median 8.6 mg in females versus 6.2 mg in males, P = 0.02), whereas urinary creatinine was not significantly different (median 78.0 mg in females versus 72.0 mg in males, P = 0.30), indicating that the higher prevalence of abnormal ACR in females was not due to lower creatinine. Because population studies have suggested that albumin excretion is greater in younger girls, possible interactions of gender and age were examined (21,22). In the 7- to 12-year age range, females had a higher frequency of abnormal albuminuria than males (26.3% versus 13.3%, P = 0.04); however, in age-stratified analysis, the effect of gender on abnormal albuminuria was NS (odds ratio 1.51, 95% CI 0.92 to 2.47), and there was no interaction between gender and age (Breslow–Day test, P = 0.39).
Hematologic values were obtained retrospectively in 360 patients, excluding 40 patients on chronic transfusion therapy and 10 patients with missing data. Complete blood count (CBC) values were measured on the same date as albuminuria testing in most patients and within 6 months of albuminuria testing in 90% of patients. In the HbSS/HbSβ0 group, patients with abnormal albuminuria had significantly lower baseline hemoglobin levels (8.17 versus 8.66 g/dl, P = 0.04). In the HbSC/HbSβ+ group, no differences in hematologic values were observed between patients with and without abnormal albuminuria. Among chronically transfused HbSS patients, 11 of 39 (28.1%) had abnormal albuminuria, compared with 49 of 222 (22.1%) HbSS/HbSβ0 patients not on chronic transfusions (P = 0.40).
Renal Insufficiency
Serum creatinine and height values were available to estimate GFR using the updated Schwartz formula in 190 patients (114 with HbSS/HbSβ0 and 76 with HbSC/HbSβ+); one patient with serum creatinine 0.1 mg/dl was excluded from eGFR estimation. Mean eGFR was 134 ± 39 ml/min per 1.73 m2 (range 62 to 273 ml/min per 1.73 m2). Mean eGFR was higher in the HbSS/HbSβ0 group as compared with the HbSC/HbSβ+ group (148 ± 39 ml/min per 1.73 m2 versus 115 ± 29 ml/min per 1.73 m2, P < 0.0001). eGFR correlated negatively with age (all patients: r = −0.23, P = 0.002; HbSS/HbSβ0 patients: r = −0.17, P = 0.08; HbSC/HbSβ+ patients: r = −0.29, P = 0.01, Figure 1).
Figure 1.
Inverse correlation of estimated GFR with age in (A) HbSS/Sβ0 patients (r = −0.19, P = 0.048) and (B) HbSC/HbSβ+patients (r = −0.29, P = 0.01).
Among HbSS patients, GFR correlated positively with ACR (r = 0.25, P = 0.007), whereas no significant correlation of ACR and GFR was seen in HbSC/HbSβ+ patients (data not shown). In age-stratified analysis, the correlation of GFR with ACR was significant only among HbSS/HbSβ0 children over 6 years old (HbSS/HbSβ0 patients ages 7 to 12 years: r = 0.41, P = 0.005; ages 13 to 21 years: r = 0.30, P = 0.06).
CKD was present in 50 of 189 (26.5%) patients: 28 (14.8%) with stage 1 and 22 (11.6%) with stage 2. Characteristics of patients with and without CKD are shown in Table 3. CKD was more prevalent in the HbSC/HbSβ+ group (35.5% versus 20.3% in the HbSS/HbSβ0 group). Stage 1 CKD had a similar prevalence in HbSS/HbSβ0 and HbSC/HbSβ+ (15.0% and 14.5%, respectively), whereas stage 2 CKD was more prevalent in HbSC/HbSβ+ (21.1% versus 5.3% in HbSS/HbSβ0). In both groups, CKD was more prevalent in adolescents (Figure 2). In multivariable logistic regression analysis, CKD was associated with age (P = 0.003) and HbSC/HbSβ+ genotype (odds ratio 2.03 [95% CI 1.04 to 3.97]). Baseline hemoglobin, gender, and chronic transfusions were not significant determinants of CKD.
Table 3.
Characteristics of 189 sickle cell patients with and without CKD
| All Patients | No CKD | Stage 1 | Stage 2 | P | |
|---|---|---|---|---|---|
| n (%) | 189 | 139 (73.5) | 28 (14.8) | 22 (11.6) | |
| Age (years) | 11.7 ± 4.6 (2.5 to 21.7) | 11.1 ± 4.4 | 13.1 ± 4.5 | 13.3 ± 5.3 | 0.01 |
| Gender (male/female) | 97/92 | 72/67 | 10/18 | 15/7 | 0.07 |
| Body mass index (kg/m2) | 19.1 ± 5.5 (11.5 to 59.4) | 18.4 ± 4.2 | 22.1 ± 9.7 | 19.7 ± 4.5 | 0.005 |
| HbSS/Sβ0 genotype (%) | 113 | 90 (79.7) | 17 (15.0) | 6 (5.3) | 0.004 |
| HbSC/Sβ+ genotype (%) | 76 | 49 (64.5) | 11 (14.5) | 16 (21.1) | |
| Hb (g/dl) in HbSS/Sβ0 | 8.9 ± 1.5 | 8.9 ± 1.4 | 8.4 ± 1.4 | 9.9 ± 1.9 | 0.08 |
| Hb (g/dl) in HbSC/Sβ+ | 11.5 ± 1.2 | 11.4 ± 1.0 | 11.3 ± 1.0 | 12.2 ± 1.7 | 0.04 |
| Chronic transfusion therapy (%) | 12 | 10 (83.3) | 1 (8.3) | 1 (8.3) | 0.89 |
| Hydroxyurea therapy | 9 | 8 (88.9) | 0 | 1 (11.1) | 0.54 |
| Serum creatinine (mg/dl) | 0.48 ± 0.17 (0.2 to 1.2) | 0.45 ± 0.13 | 0.44 ± 0.14 | 0.77 ± 0.15 | <0.001 |
Continuous variables are expressed as mean ± 1 SD (range). CKD, chronic kidney disease.
Figure 2.
Prevalence and stages of chronic kidney disease (CKD) in HbSS/Sβ0 and HbSC/Sβ+. (A) In HbSS/Sβ0, CKD occurred in 11 of 73 (15.1%) children ages 2 to 12 years versus 12 of 40 (30%) children ages 13 to 21 years (P = 0.06). (B) In HbSC/Sβ+, CKD occurred in 11 of 41 (26.8%) children ages 2 to 12 years versus 16 of 35 (45.7%) children ages 13 to 21 years (P = 0.09).
Discussion
This cohort is the largest study of albuminuria in pediatric SCD patients and is the first study to stage CKD in children with SCD. The significant decrease in GFR and increase in albuminuria with age support the hypothesis that sickle nephropathy is a progressive condition that begins during childhood. In HbSS/Sβ0 and HbSC/HbSβ+, GFR was found to decline during the first 2 decades of life. Abnormal albuminuria was more prevalent with older age in the HbSS/Sβ0 group but not in those with HbSC or HbSβ+ genotypes; however, stage 2 CKD was more prevalent in the HbSC/HbSβ+ patients. For HbSS/Sβ0 children who have higher GFR in early childhood, as GFR declines, a longer period of time is needed to reach GFR < 90 ml/min per 1.73 m2 compared with HbSC/HbSβ+ patients, and fewer HbSS/Sβ0 patients will reach GFR <90 ml/min per 1.73 m2 during childhood and adolescence despite possibly earlier glomerular damage in HbSS/Sβ0. Thus, although stage 2 CKD may appear to be less prevalent in the HbSS/HbSβ0 group, if CKD were defined by the rate of decrease in GFR, the prevalence would likely be greater.
In the pediatric population, the best noninvasive estimation of GFR is the recently modified Schwartz formula. In previous studies of infants and children with SCD, the modified Schwartz formula has been compared with diethylenetriaminepentaacetic acid clearance, showing a positive correlation although wide variation (9,18). Although the Schwartz GFR correlates with measured GFR, it was derived for use in children with CKD and is known to overestimate GFR when compared with gold standard techniques (23). This positive bias likely is greater in children with SCD because of an above-normal proximal tubular secretion of creatinine and decreased muscle mass (3). Thus, our finding that the Schwartz eGFR was <90 ml/min per 1.73 m2 in 12% of patients may underestimate the number of children with renal insufficiency, and it may be more prudent to examine change in GFR over time to define stages of CKD in sickle cell nephropathy.
The prevalence of abnormal albuminuria that we report is consistent with previous studies of albuminuria in smaller pediatric SCD cohorts. McKie et al. found abnormal albuminuria in 19.4% of 191 children with HbSS and observed a significant association of albuminuria with age and lower baseline hemoglobin (15). Alvarez et al. demonstrated abnormal albuminuria in 16.8% of HbSS children and 18% of HbSC children (24). In a smaller pediatric cohort, Becton et al. found abnormal albuminuria in 19.7% of children with HbSS but in 0 of 15 children with HbSC (17). The similar prevalence of albuminuria in these studies compared with our finding of abnormal albuminuria in 23.0% of HbSS/HbSβ0 and 16.8% of HbSC/HbSβ+ children suggests that there is no significant regional variability in albuminuria in the United States.
The findings of this study are limited by the cross-sectional design. Although our findings suggest that albuminuria (stage 1 CKD) and decreased GFR (stage 2 CKD or higher) develop and progress with age, without longitudinal follow-up of individuals, this does not distinguish transient versus persistent, progressive albuminuria. Among healthy children, transient albuminuria occurs at a prevalence as high as 7% (25). Alvarez et al. found that 13 of 38 (34%) children with SCD and ACR > 30 mg/g had only intermittent albuminuria (16). McKie et al. found that 14 of 154 (9%) normoalbuminuric HbSS children developed abnormal albuminuria over a mean of 2.1 years (15). Thus, serial albuminuria testing is necessary to increase the specificity of detecting progressive glomerulopathy as opposed to transient changes.
In other clinical settings, elevated albuminuria is a marker of vascular damage and glomerulopathy. Modest elevations of ACR, even when <30 mg/g, are associated with cardiovascular disease and death in adults (26–28). The appropriate cutoff value for defining abnormal albuminuria is not known for pediatric SCD. Our study found that SCD children classified as normoalbuminuric have a mean ACR above the values reported for healthy children (29–31). In addition to the 85 patients (20.7%) with ACR > 30 mg/g, another 26 (6.3%) had ACR between 20 and 30 mg/g, which may represent early glomerular injury in this population. Although many children with SCD who have ACR < 30 mg/g are classified as normal, a mildly elevated ACR may indicate renal and glomerular endothelial dysfunction, a precursor to CKD.
CKD and albuminuria occur in children with all genotypes of SCD, with an increasing prevalence with age. Although abnormal albuminuria was greater in HbSS/HbSβ0, stage 2 CKD was more prevalent in HbSC/HbSβ+. A similar rate of decline in GFR with age was seen in HbSS/HbSβ0 and HbSC/HbSβ+. Because of hyperfiltration and a higher GFR in early childhood in HbSS/HbSβ0, we speculate that a longer period of time is needed to reach the low GFR level that defines stage 2 CKD. Future longitudinal studies are necessary to characterize the progression of CKD and albuminuria during childhood and to allow for earlier therapeutic intervention to decrease the morbidity and mortality of CKD in adulthood.
Disclosures
None.
Footnotes
Published online ahead of print. Publication date available at www.cjasn.org.
References
- 1. Powars DR, Chan LS, Hiti A, Ramicone E, Johnson C: Outcome of sickle cell anemia: A 4-decade observational study of 1056 patients. Medicine (Baltimore) 84: 363–376, 2005 [DOI] [PubMed] [Google Scholar]
- 2. Powars DR, Elliott-Mills DD, Chan L, Niland J, Hiti AL, Opas LM, Johnson C: Chronic renal failure in sickle cell disease: Risk factors, clinical course, and mortality. Ann Intern Med 115: 614–620, 1991 [DOI] [PubMed] [Google Scholar]
- 3. Allon M: Renal abnormalities in sickle cell disease. Arch Intern Med 150: 501–504, 1990 [PubMed] [Google Scholar]
- 4. Allon M, Lawson L, Eckman JR, Delaney V, Bourke E: Effects of nonsteroidal antiinflammatory drugs on renal function in sickle cell anemia. Kidney Int 34: 500–506, 1988 [DOI] [PubMed] [Google Scholar]
- 5. Schmitt F, Martinez F, Brillet G, Giatras I, Choukroun G, Girot R, Bachir D, Galacteros F, Lacour B, Grunfeld JP: Early glomerular dysfunction in patients with sickle cell anemia. Am J Kidney Dis 32: 208–214, 1998 [DOI] [PubMed] [Google Scholar]
- 6. Etteldorf JN, Tuttle AW, Clayton GW: Renal function studies in pediatrics. 1. Renal hemodynamics in children with sickle cell anemia. AMA Am J Dis Child 83: 185–191, 1952 [DOI] [PubMed] [Google Scholar]
- 7. Bhathena DB, Sondheimer JH: The glomerulopathy of homozygous sickle hemoglobin (SS) disease: Morphology and pathogenesis. J Am Soc Nephrol 1: 1241–1252, 1991 [DOI] [PubMed] [Google Scholar]
- 8. Etteldorf JN, Smith JD, Tuttle AH, Diggs LW: Renal hemodynamic studies in adults with sickle cell anemia. Am J Med 18: 243–248, 1955 [DOI] [PubMed] [Google Scholar]
- 9. Ware RE, Rees RC, Sarnaik SA, Iyer RV, Alvarez OA, Casella JF, Shulkin BL, Shalaby-Rana E, Strife CF, Miller JH, Lane PA, Wang WC, Miller ST: Renal function in infants with sickle cell anemia: Baseline data from the BABY HUG trial. J Pediatr 156: 66–70.e1, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Garg AX, Kiberd BA, Clark WF, Haynes RB, Clase CM: Albuminuria and renal insufficiency prevalence guides population screening: Results from the NHANES III. Kidney Int 61: 2165–2175, 2002 [DOI] [PubMed] [Google Scholar]
- 11. Guasch A, Cua M, You W, Mitch WE: Sickle cell anemia causes a distinct pattern of glomerular dysfunction. Kidney Int 51: 826–833, 1997 [DOI] [PubMed] [Google Scholar]
- 12. Guasch A, Cua M, Mitch WE: Early detection and the course of glomerular injury in patients with sickle cell anemia. Kidney Int 49: 786–791, 1996 [DOI] [PubMed] [Google Scholar]
- 13. Guasch A, Navarrete J, Nass K, Zayas CF: Glomerular involvement in adults with sickle cell hemoglobinopathies: Prevalence and clinical correlates of progressive renal failure. J Am Soc Nephrol 17: 2228–2235, 2006 [DOI] [PubMed] [Google Scholar]
- 14. Thompson J, Reid M, Hambleton I, Serjeant GR: Albuminuria and renal function in homozygous sickle cell disease: Observations from a cohort study. Arch Intern Med 167: 701–708, 2007 [DOI] [PubMed] [Google Scholar]
- 15. McKie KT, Hanevold CD, Hernandez C, Waller JL, Ortiz L, McKie KM: Prevalence, prevention, and treatment of microalbuminuria and proteinuria in children with sickle cell disease. J Pediatr Hematol Oncol 29: 140–144, 2007 [DOI] [PubMed] [Google Scholar]
- 16. Alvarez O, Lopez-Mitnik G, Zilleruelo G: Short-term follow-up of patients with sickle cell disease and albuminuria. Pediatr Blood Cancer 50: 1236–1239, 2008 [DOI] [PubMed] [Google Scholar]
- 17. Becton L, Kalpatthi R, Rackoff E, Disco D, Orak J, Jackson S, Shatat I: Prevalence and clinical correlates of microalbuminuria in children with sickle cell disease. Pediatric Nephrol 25: 1505–1511, 2010 [DOI] [PubMed] [Google Scholar]
- 18. Aygun B, Mortier N, Smeltzer M, Hankins J, Ware R: Glomerular hyperfiltration and albuminuria in children with sickle cell anemia. Pediatric Nephrol 1–6, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Schwartz GJ, Munoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, Furth SL: New equations to estimate GFR in children with CKD. J Am Soc Nephrol 20: 629–637, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Levey AS, Eckardt KU, Tsukamoto Y, Levin A, Coresh J, Rossert J, De Zeeuw D, Hostetter TH, Lameire N, Eknoyan G: Definition and classification of chronic kidney disease: A position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int 67: 2089–2100, 2005 [DOI] [PubMed] [Google Scholar]
- 21. Sanchez-Bayle M, Rodriguez-Cimadevilla C, Asensio C, Ruiz-Jarabo C, Baena J, Arnaiz P, Villa S, Cocho P: Urinary albumin excretion in Spanish children. Nino Jesus Group. Pediatr Nephrol 9: 428–430, 1995 [DOI] [PubMed] [Google Scholar]
- 22. Bangstad HJ, Dahl-Jorgensen K, Kjaersgaard P, Mevold K, Hanssen KF: Urinary albumin excretion rate and puberty in non-diabetic children and adolescents. Acta Paediatr 82: 857–862, 1993 [DOI] [PubMed] [Google Scholar]
- 23. Schwartz GJ, Furth S, Cole SR, Warady B, Munoz A: Glomerular filtration rate via plasma iohexol disappearance: Pilot study for chronic kidney disease in children. Kidney Int 69: 2070–2077, 2006 [DOI] [PubMed] [Google Scholar]
- 24. Alvarez O, Montane B, Lopez G, Wilkinson J, Miller T: Early blood transfusions protect against microalbuminuria in children with sickle cell disease. Pediatr Blood Cancer 47: 71–76, 2006 [DOI] [PubMed] [Google Scholar]
- 25. Kim NH, Pavkov ME, Knowler WC, Hanson RL, Weil EJ, Curtis JM, Bennett PH, Nelson RG: Predictive value of albuminuria in American Indian youth with or without type 2 diabetes. Pediatrics 125: e844–e851, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Dell'Omo G, Penno G, Giorgi D, Di Bello V, Mariani M, Pedrinelli R: Association between high-normal albuminuria and risk factors for cardiovascular and renal disease in essential hypertensive men. Am J Kidney Dis 40: 1–8, 2002 [DOI] [PubMed] [Google Scholar]
- 27. Arnlov J, Evans JC, Meigs JB, Wang TJ, Fox CS, Levy D, Benjamin EJ, D'Agostino RB, Vasan RS: Low-grade albuminuria and incidence of cardiovascular disease events in nonhypertensive and nondiabetic individuals: The Framingham Heart Study. Circulation 112: 969–975, 2005 [DOI] [PubMed] [Google Scholar]
- 28. Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, Coresh J, Gansevoort RT: Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: A collaborative meta-analysis. Lancet 375: 2073–2081, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Rademacher ER, Sinaiko AR: Albuminuria in children. Curr Opin Nephrol Hypertens 18: 246–251, 2009 [DOI] [PubMed] [Google Scholar]
- 30. Trachtenberg F, Barregard L: The effect of age, sex, and race on urinary markers of kidney damage in children. Am J Kidney Dis 50: 938–945, 2007 [DOI] [PubMed] [Google Scholar]
- 31. Hanevold CD, Pollock JS, Harshfield GA: Racial differences in microalbumin excretion in healthy adolescents. Hypertension 51: 334–338, 2008 [DOI] [PubMed] [Google Scholar]


