Abstract
Background:
Preterm birth increases the risk of hypertension and kidney disease. However, it is unclear when changes in blood pressure (BP) and renal function become apparent and what role obesity and sex play. We hypothesized adolescents born preterm have higher BP and worse kidney function compared to term in an obesity- and sex-dependent manner.
Methods:
Cross-sectional analysis of 14-year-olds born preterm with very low birth weight (n=96) compared to term (n=43). We used generalized linear models to estimate the associations among preterm birth and BP, estimated glomerular filtration rate (eGFR), and ln(x) urinary albumin-to-creatinine ratio (ACR), stratified by overweight/obesity (OWO, body mass index (BMI) ≥85th percentile) and sex.
Results:
Compared to term, preterm-born adolescents had higher systolic blood pressure (SBP) and diastolic blood pressure (DBP) (adjusted β (aβ): 3.5 mmHg, 95% CI -0.1 to 7.2 and 3.6 mmHg, 95% CI 0.1 to 7.0), lower eGFR (β: -8.2 mL/min/1.73 m2, 95% CI -15.9 to -0.4), and higher ACR (aβ: 0.34, 95% CI -0.04 to 0.72). OWO modified the preterm-term difference in DBP (BMI <85th percentile aβ: 5.0 mmHg, 95% CI 0.7 to 9.2 vs. OWO 0.2 mmHg, 95% CI -5.3 to 5.6) and ACR (OWO aβ: 0.72, 95% CI 0.15 to 1.29 vs. BMI <85th percentile 0.17, 95% CI -0.31 to 0.65). Sex modified the preterm-term ACR difference (female aβ: 0.52, 95% CI 0.001 to 1.04 vs. male 0.18, 95% CI -0.36 to 0.72).
Conclusions:
Prematurity was associated with higher BP and reduced renal function that were detectable in adolescence. OWO and sex may modify the strength of these relationships.
Keywords: Chronic Kidney Disease, Hypertension, Obesity, Programming, Sex Differences, Very Low Birth Weight
Introduction
Improved clinical care has resulted in a significant increase in childhood survival of infants born prematurely. However, individuals born preterm exhibit an increased risk of adverse health outcomes including hypertension and renal disease, though when these abnormalities are detectable is incompletely known [1–4]. Reduced nephron endowment and neonatal acute kidney injury contribute to the development of hypertension and kidney disease [5, 6]. Antecedents of preterm birth including preeclampsia and low socioeconomic status have also been implicated [7, 8]. Obesity and male sex generally have a negative influence on renal function and the development of hypertension, but their role in preterm birth-related disease is unclear [6, 9–11]. Therefore the objective of this study was to compare blood pressure (BP) and renal function in 14-year-olds born preterm with very low birth weight (VLBW, <1500 g) to their term-born peers and evaluate whether obesity and sex modify these relationships. We hypothesized that adolescents born preterm have higher BP, lower glomerular filtration rate (GFR), and higher albumin-to-creatinine ratio (ACR) as compared to their term-born adolescent peers in an obesity- and sex-dependent manner.
Methods
Study Design
Study participants were recruited from a larger birth cohort of 479 patients born preterm with VLBW between January 1st, 1992 and June 30th, 1996 at a regional perinatal center (Forsyth Medical Center, Winston Salem, NC). Inclusion criteria included singleton birth, follow-up data through at least 1 year corrected age, and successful contact at 14 years of age. Term peers were recruited via newspaper advertisement and word of mouth at age 14 years from those born at the same medical center via singleton birth, if birth weight was >2500 g, gestational age ≥37 weeks, and no antenatal steroid exposure (N = 52). Exclusion criteria for both groups included being a ward of the state or having a major congenital anomaly or genetic syndrome. Subjects were compensated for completing all study visits, and parents/guardians were compensated to cover travel expenses.
Data collection
We collected perinatal clinical information from subjects’ medical records and research databases, including birth via cesarean section, antenatal corticosteroid exposure, maternal smoking during pregnancy, and maternal hypertension during pregnancy. Birth characteristics were recorded and included sex, gestational age, and birth weight. We calculated birth weight z-scores and categorized subjects as small-for-gestational age if birth weight was <10th percentile for gestational age [12, 13]. We collected demographic information at age 14 years, including parental-reported race (black vs. non-black), patient smoking status, and current Medicaid use. We measured height, weight, and waist circumference and calculated BMI and waist-to-height ratio. We categorized subjects as having overweight/obesity (OWO) if BMI ≥85th percentile for age and sex according to established pediatric guidelines [14]. Subjects privately reported their sexual maturity rating via questionnaire (scale of 1 to 5), and we reported the percent of subjects with a score of 5 in either of the two secondary sexual characteristics (pubic hair plus breast development in females and external genitalia development in males) [15].
We measured BP according to established guidelines [16]. Subjects were quietly seated and at rest for a minimum of five minutes with the arm fully supported. Trained personnel measured BP with a mercury manometer and an appropriately sized BP cuff. We recorded the average of three measurements (taken 1 minute apart) and calculated BP z-scores according to age-, sex-, and height-specific normative values [17]. We defined high BP as systolic BP (SBP) or diastolic BP (DBP) ≥120/80 and further classified stages of hypertension as i) elevated BP if SBP ≥120 to 129 mmHg but DBP <80 mmHg; ii) stage 1 hypertension if SBP ≥130 to 139 mmHg or DBP ≥80 to 89 mmHg; and iii) stage 2 hypertension if SBP ≥140 mmHg or DBP ≥90 mmHg, according to established pediatric guidelines [18].
Blood was collected with subjects in the seated position. We measured serum creatinine and calculated the estimated GFR (eGFR, mL/min/1.73 m2) by the Schwartz equation (k × height (cm) / serum creatinine (mg/dL), with k = 0.55 for females and k = 0.7 for males) [19]. We measured urinary albumin and creatinine on first-morning urine samples, calculated the ACR (mg/g), and defined albuminuria as ACR >30 mg/g [20]. A modified Jaffe assay was used to analyze creatinine; the assay was updated during the study period so a correction factor of 1.06 was applied to initial values (n = 20, all preterm).
Statistical analysis
We assessed frequencies and measures of central tendency and dispersion for descriptive statistics, including mean with standard deviation or median with interquartile range for continuous variables, and employed Chi-square test, Fisher’s exact test, t-test, and Wilcoxon Rank-Sum test for between-group comparisons. Correlations were analyzed by bivariate generalized linear models. A two-sided alpha level of less than 0.05 was considered statistically significant.
We employed generalized linear models to estimate the associations between preterm birth and BP, eGFR, and ln (x) ACR. We assessed for potential modification of the associations by OWO and sex via inclusion of an interaction term and generated stratified models if the interaction term suggested an interactive effect (p <0.2), in order to minimize type II errors. We applied directed acyclic graphs to determine potentially confounding factors a priori and identified maternal hypertensive pregnancy and Medicaid use at age 14 years (a marker of socioeconomic status) in our minimally sufficient set of confounders for inclusion in the models [7, 8, 21]. We used SAS Enterprise Guide software for Windows for all analyses (Version 7.11, SAS Institute Inc., Cary, NC).
Results
Perinatal and adolescent characteristics
We enrolled 62% (N = 193) of subjects successfully contacted (Figure 1). Within the preterm cohort, 188 subjects were evaluated at age 14 years (five subjects were excluded: two subjects were twins, one had polycystic kidney disease, one had a chromosomal abnormality, and one had severe cerebral palsy). We report the data collected at the third study visit; 11 were further excluded (missing study visit). Of the remaining subjects, we included those who provided blood samples and first-morning urine samples (N = 96). Within the term cohort, we included in the current analysis those subjects who provided blood samples and first-morning urine samples (N = 43).
Fig. 1. Cohort Subject Recruitment Flow Diagram.
There were no significant preterm-term birth differences in sex or race (Table 1). Within the perinatal period, the preterm birth cohort had significantly higher rates of maternal hypertensive pregnancy, maternal smoking during pregnancy, and Cesarean section. Subjects born preterm had a mean gestational age of 27.8 weeks and a mean birth weight of 1048 g compared to 39.7 weeks and 3458 g in those born term. The two groups did not differ in the proportions that were small for gestational age. At 14 years of age, the preterm birth group was shorter but there were no differences in weight, BMI, or rates of OWO. Adolescents born preterm had a greater rate of current Medicaid use.
Table 1.
Clinical Characteristics of Adolescents Born Preterm Compared to Those Born Term
Preterm n=96 | Term n=43 | |
---|---|---|
Perinatal | ||
Male | 40 (42%) | 21 (49%) |
Black | 35 (36%) | 17 (40%) |
Maternal HTN | 40 (42%)* | 2 (5%) |
Maternal Smoking | 17 (18%)* | 1 (2%) |
Cesarean Section | 48 (50%)* | 8 (19%) |
GA, weeks | 27.8 (2.6)* | 39.7 (1.1) |
Birth Weight, g | 1048 (276)* | 3458 (451) |
Small for GA | 9 (9%) | 3 (7%) |
Adolescent | ||
Height, cm | 162.2 (9.2)* | 168.2 (7.2) |
Weight, kg | 58.7 [48.5, 69.0] | 59.8 [55.1, 69.7] |
Body Mass Index, kg/m2 | 21.4 [19.0, 25.9] | 21.2 [19.3, 24.0] |
Overweight/Obesity | 33 (34%) | 13 (30%) |
Waist-to-Height Ratio | 0.46 [0.42, 0.54] | 0.44 [0.42, 0.47] |
Sexual Maturity Rating of 5 | 57 (60%) | 26 (60%) |
Medicaid | 34 (36%)* | 7 (16%) |
Current Smoker | 2 (2%) | 1 (2%) |
N (%), mean (SD), or median [IQR].
p <0.05 for preterm vs term comparison by chi-square test or t-test. GA gestational age, Maternal HTN maternal hypertensive pregnancy.
Blood pressure
As compared to those born term, adolescents born preterm had significantly higher mean SBP, DBP, SBP z-score and DBP z-score (Table 2). The preterm birth cohort also had a significantly greater rate of high BP. The preterm-term birth difference in BP persisted after adjusting for maternal hypertensive pregnancy and current Medicaid use (Table 3): SBP (adjusted β: 3.5 mmHg, 95% CI -0.1 to 7.2), DBP (adjusted β: 3.6 mmHg, 95% CI 0.1 to 7.0), SBP z-score (adjusted β: 0.48, 95% CI 0.15 to 0.81), and DBP z-score (adjusted β: 0.45, 95% CI 0.13 to 0.78) were all higher in adolescents born preterm as compared to those born term.
Table 2.
Blood Pressure and Renal Function in Adolescents Born Preterm Compared to Those Born Term
Preterm n=96 | Term n=43 | |
---|---|---|
SBP, mmHg | 108.4 (10.0)* | 103.8 (6.8) |
DBP, mmHg | 62.0 (8.9)* | 58.6 (7.9) |
SBP z-score | -0.09 (0.91)* | -0.67 (0.64) |
DBP z-score | -0.2 (0.83)* | -0.62 (0.72) |
High BP | 14 (15%)* | 1 (2%) |
Elevated BP | 10 (10%) | 1 (2%) |
Stage 1 Hypertension | 3 (3%) | 0 (0%) |
Stage 2 Hypertension | 1 (1%) | 0 (0%) |
Blood Urea Nitrogen, mg/dL | 11.7 (3.2) | 11.9 (3.1) |
Creatinine, mg/dL | 0.8 (0.13) | 0.79 (0.11) |
eGFR, mL/min/1.73 m2 | 126.2 (21.9)* | 134.3 (21.4) |
ACR, mg/g | 4.9 [3.0, 11.0] | 4.0 [2.5, 10.9] |
Albuminuria (ACR >30 mg/g) | 7 (7%) | 3 (7%) |
N (%), mean (SD), or median [IQR].
p<0.05 for preterm vs term comparison by t-test and Fisher’s Exact test. ACR albumin-to-creatinine ratio, eGFR estimated glomerular filtration rate, BP blood pressure, SBP systolic blood pressure, DBP diastolic blood pressure
Table 3.
Differences in Adolescent Blood Pressure and Renal Function by Preterm Birth
Crude |
Adjusted* |
|
---|---|---|
Estimate 95% CI | Estimate 95% CI | |
SBP, mmHg | 4.6 (1.3, 7.9) | 3.5 (-0.1, 7.2) |
DBP, mmHg | 3.4 (0.4, 6.5) | 3.6 (0.1, 7.0) |
SBP z-score | 0.58 (0.28, 0.88) | 0.48 (0.15, 0.81) |
DBP z-score | 0.42 (0.14, 0.71) | 0.45 (0.13, 0.78) |
Blood Urea Nitrogen, mg/dL | -0.21 (-1.35, 0.93) | -0.25 (-1.53, 1.03) |
Creatinine, mg/dL | 0.01 (-0.03, 0.06) | -0.004 (-0.06, 0.05) |
eGFR, mL/min/1.73 m2 | -8.2 (-15.9, -0.4) | -6.3 (-15.0, 2.4) |
ACRa | 0.21 (-0.13, 0.55) | 0.34 (-0.04, 0.72) |
Generalized linear models
adjusted for maternal hypertensive pregnancy and Medicaid use at age 14 years
natural-log transformed. ACR albumin-to-creatinine ratio, eGFR estimated glomerular filtration rate, DBP diastolic blood pressure, SBP systolic blood pressure
Evaluation for an interaction between OWO and preterm birth indicated potential modification of the preterm birth relationship with both DBP and DBP z-score, though these relationships approached statistical significance (interaction terms p = 0.1 and p = 0.13, respectively) (Figure 2). The preterm-term birth difference in DBP was slightly greater in subjects with BMI <85th percentile (adjusted β: 5.0 mmHg, 95% CI 0.7 to 9.2) as compared to those with OWO (adjusted β: 0.2 mmHg, 95% CI -5.3 to 5.6) (Table 4). The preterm-term birth difference in DBP z-score was slightly greater in subjects with BMI <85th percentile (adjusted β: 0.57, 95% CI 0.18 to 0.97) as compared to those with OWO (adjusted β: 0.15, 95% CI -0.37 to 0.66). Sex did not modify the preterm birth-BP relationships.
Fig. 2.
Diastolic Blood Pressure and Preterm Birth by Overweight/Obesity Preterm in red, term in blue. Body mass index (BMI) < 85th %ile: preterm n = 63, term n = 30; overweight/obesity: preterm n = 33, term n = 13. Filled circles indicate means, boxes include 25% to 75%, whiskers include 5% to 95%, and open circles indicate outliers. *Preterm-term difference p = 0.01 by t-test; overweight/obesity (OWO) * preterm birth interaction term p = 0.1.
Table 4.
Differences in Adolescent Blood Pressure and Renal Function by Preterm Birth According to Overweight/Obesity and Sex
Adjusted Models* |
Stratified Models* |
||
---|---|---|---|
Estimate (95% CI) | Estimate (95% CI) | ||
DBP, mmHg | 3.6 (0.1, 7.0) | BMI <85th percentile | 5.0 (0.7, 9.2) |
Overweight/Obesity | 0.2 (-5.3, 5.6) | ||
DBP z-score | 0.45 (0.13, 0.78) | BMI <85th percentile | 0.57 (0.18, 0.97) |
Overweight/Obesity | 0.15 (-0.37, 0.66) | ||
ACRa | 0.34 (-0.04, 0.72) | Overweight/Obesity | 0.72 (0.15, 1.29) |
BMI <85th percentile | 0.17 (-0.31, 0.65) | ||
Female | 0.52 (0.001, 1.04) | ||
Male | 0.18 (-0.36, 0.72) |
Generalized linear models
adjusted for maternal hypertensive pregnancy and Medicaid use at age 14 years
natural-log transformed. ACR albumin-to-creatinine ratio, DBP diastolic blood pressure, BMI body mass index
Renal function
While there were no differences in blood urea nitrogen or creatinine, adolescents born preterm had a significantly lower mean eGFR as compared to those born term (Table 2). The preterm birth group had a higher ACR but this did not achieve statistical significance (p = 0.08); there was no difference in rates of albuminuria. In crude analyses, preterm birth was associated with lower eGFR (Table 3). Adjusting for maternal hypertensive pregnancy and current Medicaid use attenuated this relationship (adjusted β: -6.3 mL/min/1.73 m2, 95% CI -15.0 to 2.4). After adjustment, preterm birth demonstrated a trend towards higher ACR (adjusted β: 0.34, 95% CI -0.04 to 0.72).
There was potential modification of the preterm birth-ACR relationship according to OWO, though this approached statistical significance (interaction term p = 0.17) (Figure 3a). The preterm-term birth difference in ACR was slightly greater in subjects with OWO (adjusted β: 0.72, 95% CI 0.15 to 1.29) as compared to those with BMI <85th percentile (adjusted β: 0.17, 95% CI -0.31 to 0.65) (Table 4). Sex also potentially modified the preterm birth-ACR relationship, though this approached statistical significance (interaction term p = 0.18, Figure 3b): the preterm-term difference in ACR was slightly greater in females (β: 0.52, 95% CI 0.001 to 1.04) as compared to males (β: 0.18, 95% CI -0.36 to 0.72) (Table 4).
Fig. 3. Urinary Albumin-to-Creatinine Ratio and Preterm Birth by Overweight/Obesity and Sex.
Preterm in red, term in blue. Diamonds indicate means, bars indicate medians, boxes include 25% to 75%, and open circles indicate data points; outliers not shown. a. Overweight/obesity (OWO): preterm n = 33, term n = 13; body mass index (BMI) < 85th %ile: preterm n = 63, term n = 30. *Preterm-term difference p = 0.03 by Wilcoxon Rank-Sum test; OWO * preterm birth interaction term p = 0.17. b. Female: preterm n = 56, term n = 22; Male: preterm n = 40, term n = 21. *Preterm-term difference p = 0.06 by Wilcoxon Rank-Sum test; sex * preterm birth interaction term p = 0.18.
Discussion
We found that increased BP, a greater rate of high BP, and reduced renal function are detectable during adolescence in healthy individuals born preterm with VLBW as compared to their term-born peers. Moreover, these relationships tended to be greater according to OWO status and sex. Amongst adolescents with BMI <85th percentile, the preterm-term difference in BP was modestly increased and amongst adolescents with OWO as well as in female adolescents, the preterm-term difference in ACR was modestly increased, though these interactions approached statistical significance. The preterm-term BP difference persisted after controlling for height by analyzing BP z-scores, which is notable given that our preterm birth cohort was shorter than their term-born peers, and shorter height in children and adolescents is associated with lower BP [18].
The age at which preterm-term differences in BP are apparent is variable. Differences in BP have been described by 6 years of age [22]. While BP differences have been described in individuals into their 30’s, most studies do not consistently demonstrate when hypertension itself develops [23]. Several explanations for the increased risk of hypertension have been proposed, including alterations in renal structure and function, vascular changes, and salt sensitivity of BP [24]. Additional factors include elevated uric acid, alterations in the renin-angiotensin system, suppressed klotho, blunted pressure natriuresis, and aberrant autonomic function, all of which we have previously described in our preterm birth cohort [25–29]. Our study revealed a novel effect of obesity on BP: the preterm-term difference in DBP was modestly greater among individuals with a BMI <85th percentile compared to those with OWO, though this interaction approached statistical significance. Obesity generally increases the risk of hypertension in children and adolescents as well as adults, but there is a dearth of evidence about obesity’s role in the development of hypertension in preterm-born individuals [22, 30, 31]. A possible interpretation of our analysis is that prematurity may induce adverse cardiovascular changes akin to those ascribed to obesity alone. Larger prospective studies are needed to better evaluate the influence of obesity on BP in individuals born preterm.
The reduced renal function observed in the preterm birth group may contribute to their higher BP. As these individuals reach young adulthood, it is likely the differences in renal function will become more apparent. The timing of when changes in renal function are apparent is unclear, with some studies detecting differences during childhood and others showing no differences even into early adulthood [2, 22, 32, 33]. Our study provides evidence of a divergence in renal function that was detected at 14 years of age, though it should be noted that the original Schwartz equation we used may overestimate GFR when in the normal range. The exact mechanisms underlying these alterations in renal function are incompletely described but may be due in part to reductions in nephron number and maturity, poor growth, and alterations in uric acid and the renin-angiotensin system [27, 28, 34, 35].
We found that OWO and sex may influence the relationship between preterm birth and higher ACR, as the preterm-term difference in ACR was modestly greater in subjects with OWO and in adolescent females, though these interactions approached statistical significance. Low birth weight is associated with the development of obesity as well as kidney disease, and obesity-induced renal pathology mirrors that of prematurity [36, 37]. The reasons for this are not fully understood but may be due to a predisposition to obesity and increased sensitivity to the renal and cardiovascular effects of obesity. This suggests that the development of obesity during adolescence may compound the risk of developing renal disease in preterm-born individuals. Our results suggest that females born preterm could be at higher risk than males in developing kidney disease, which is a novel finding because in general males born preterm are thought to be at increased risk [10]. However, females born preterm have been shown to have a higher rate of diastolic hypertension compared to males, and females with a reduced number of glomeruli have been shown to lack compensatory glomerular hypertrophy compared to males [22, 38]. The reasons for this are unclear but may be due to hormonal effects on renal size and the renin-angiotensin system [28, 38]. Larger prospective studies are needed to fully evaluate the influence of obesity and sex on renal outcomes in individuals born preterm.
Strengths of our study include a large preterm birth cohort with a term-born control cohort for comparison with comprehensive renal, cardiac, and metabolic assessments. The study had several limitations. The cross-sectional design limited our ability to directly determine when changes in BP are first apparent. Although our study included a large-sized preterm birth cohort, the smaller sample size in the term birth group likely limited our power to detect significant differences upon stratified analyses by OWO and sex. We did not have information available about which preterm birth participants had neonatal acute kidney injury, which influences future renal function [6]. We measured eGFR by the Schwartz equation, which is the standard clinical pediatric eGFR equation in children and adolescents with normal renal function [39, 40]. Not all of our subjects’ creatinine measurements were analyzed via an assay traceable to isotope dilution mass spectrometry nor did any subject have documented chronic kidney disease, which precluded the use of the updated Schwartz (CKiD) eGFR equation according to established guidelines [41]. We did not measure GFR directly or measure cystatin C, which are more sensitive methods to assess GFR. Our study did not assess renal length or volume, both of which have been shown to be decreased in individuals born preterm [2]. Larger prospective studies with more comprehensive measures of renal function are warranted to more accurately assess renal function in individuals born preterm.
In summary, adolescents born preterm with VLBW had increased BP, a greater rate of high BP, and reduced renal function as compared to their term-born peers that were detectable at 14 years of age. Preterm-term birth differences in BP tended to be greater in individuals with BMI <85th percentile; however, differences in urinary albumin excretion tended to be greater in individuals with OWO and in females. Our results suggest that preterm birth-related alterations in the kidney are detectable during adolescence and provide further evidence that prematurity is associated with an increased risk of developing hypertension and chronic kidney disease.
Acknowledgements
We would like to thank the participants and their families, Patricia Brown, RN, research nurse, and Alice Scott, RN, research study coordinator. Patricia Brown and Alice Scott have no conflicts of interest.
Statement of Financial Support: This study is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (P01 HD047584; HD084227), the American Heart Association (AHA 14GRNT20480131), the Clinical Research Unit of Wake Forest Baptist Medical Center (MCRR/NIH M01-RR07122), the Wake Forest Clinical and Translational Science Award (NIH UL1 TR001420), and Forsyth Medical Center and Wake Forest School of Medicine Department of Pediatrics research funds.
Footnotes
Compliance with ethical standards
The Wake Forest School of Medicine and Forsyth Medical Center Institutional Review Boards approved the study. Parents or legal guardians provided written informed consent, and participants provided assent.
Conflict of Interest: The authors declare that they have no conflict of interest.
Data Availability:
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
- 1.Kaiser JR, Tilford JM, Simpson PM, Salhab WA, Rosenfeld CR (2004) Hospital survival of very-low-birth-weight neonates from 1977 to 2000. J Perinatol 24:343–350 [DOI] [PubMed] [Google Scholar]
- 2.Keijzer-Veen MG, Kleinveld HA, Lequin MH, Dekker FW, Nauta J, de Rijke YB, van der Heijden BJ (2007) Renal function and size at young adult age after intrauterine growth restriction and very premature birth. Am J Kidney Dis 50:542–551 [DOI] [PubMed] [Google Scholar]
- 3.White SL, Perkovic V, Cass A, Chang CL, Poulter NR, Spector T, Haysom L, Craig JC, Salmi IA, Chadban SJ, Huxley RR (2009) Is low birth weight an antecedent of CKD in later life? A systematic review of observational studies. Am J Kidney Dis 54:248–261 [DOI] [PubMed] [Google Scholar]
- 4.de Jong F, Monuteaux MC, van Elburg RM, Gillman MW, Belfort MB (2012) Systematic review and meta-analysis of preterm birth and later systolic blood pressure. Hypertension 59:226–234 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Brenner BM, Chertow GM (1994) Congenital oligonephropathy and the etiology of adult hypertension and progressive renal injury. Am J Kidney Dis 23:171–175 [PubMed] [Google Scholar]
- 6.Abitbol CL, Bauer CR, Montané B, Chandar J, Duara S, Zilleruelo G (2003) Long-term follow-up of extremely low birth weight infants with neonatal renal failure. Pediatr Nephrol 18:887–893 [DOI] [PubMed] [Google Scholar]
- 7.Davis EF, Lazdam M, Lewandowski AJ, Worton SA, Kelly B, Kenworthy Y, Adwani S, Wilkinson AR, McCormick K, Sargent I, Redman C, Leeson P (2012) Cardiovascular risk factors in children and young adults born to preeclamptic pregnancies: A systematic review. Pediatrics 129:e1552–e1561 [DOI] [PubMed] [Google Scholar]
- 8.Hidalgo G, Ng DK, Moxey-Mims M, Minnick ML, Blydt-Hansen T, Warady BA, Furth SL (2013) Association of income level with kidney disease severity and progression among children and adolescents with CKD: A report from the Chronic Kidney Disease in Children (CKiD) Study. Am J Kidney Dis 62:1087–1094 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ejerblad E, Fored CM, Lindblad P, Fryzek J, McLaughlin JK, Nyrén O (2006) Obesity and risk for chronic renal failure. J Am Soc Nephrol 17:1695–1702 [DOI] [PubMed] [Google Scholar]
- 10.Li S, Chen SC, Shlipak M, Bakris G, McCullough PA, Sowers J, Stevens L, Jurkovitz C, McFarlane S, Norris K, Vassalotti J, Klag MJ, Brown WW, Narva A, Calhoun D, Johnson B, Obialo C, Whaley-Connell A, Becker B, Collins AJ (2008) Low birth weight is associated with chronic kidney disease only in men. Kidney Int 73:637–642 [DOI] [PubMed] [Google Scholar]
- 11.Lo JC, Sinaiko A, Chandra M, Daley MF, Greenspan LC, Parker ED, Kharbanda EO, Margolis KL, Adams K, Prineas R, Magid D, O’Connor PJ (2013) Prehypertension and hypertension in community-based pediatric practice. Pediatrics 131:e415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Oken E, Kleinman KP, Rich-Edwards J, Gillman MW (2003) A nearly continuous measure of birth weight for gestational age using a United States national reference. BMC Pediatr 3:6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Battaglia FC, Lubchenco LO (1967) A practical classification of newborn infants by weight and gestational age. J Pediatr 71:159–163 [DOI] [PubMed] [Google Scholar]
- 14.Barlow SE (2007) Expert Committee Recommendations Regarding the Prevention, Assessment, and Treatment of Child and Adolescent Overweight and Obesity: Summary Report. Pediatrics 120 Suppl 4:S164–192 [DOI] [PubMed] [Google Scholar]
- 15.Taylor SJ, Whincup PH, Hindmarsh PC, Lampe F, Odoki K, Cook DG (2001) Performance of a new pubertal self-assessment questionnaire: A preliminary study. Paediatr Perinat Epidemiol 15:88–94 [DOI] [PubMed] [Google Scholar]
- 16.(1996) Update on the 1987 Task Force Report on High Blood Pressure in Children and Adolescents: A working group report from the National High Blood Pressure Education Program. National High Blood Pressure Education Program Working Group on Hypertension Control in Children and Adolescents. Pediatrics 98:649–658 [PubMed] [Google Scholar]
- 17.Rosner B, Cook N, Portman R, Daniels S, Falkner B (2008) Determination of blood pressure percentiles in normal-weight children: Some methodological issues. Am J Epidemiol 167:653–666 [DOI] [PubMed] [Google Scholar]
- 18.Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D, Carroll AE, Daniels SR, de Ferranti SD, Dionne JM, Falkner B, Flinn SK, Gidding SS, Goodwin C, Leu MG, Powers ME, Rea C, Samuels J, Simasek M, Thaker VV, Urbina EM (2017) Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents. Pediatrics 140:e20171904. [DOI] [PubMed] [Google Scholar]
- 19.Schwartz GJ, Brion LP, Spitzer A (1987) The use of plasma creatinine concentration for estimating glomerular filtration rate in infants, children, and adolescents. Pediatr Clin North Am 34:571–590 [DOI] [PubMed] [Google Scholar]
- 20.Rademacher ER, Sinaiko AR (2009) Albuminuria in children. Curr Opin Nephrol Hypertens 18:246–251 [DOI] [PubMed] [Google Scholar]
- 21.Shrier I, Platt RW (2008) Reducing bias through directed acyclic graphs. BMC Med Res Methodol 8:70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Vashishta N, Surapaneni V, Chawla S, Kapur G, Natarajan G (2017) Association among prematurity (<30 weeks’ gestational age), blood pressure, urinary albumin, calcium, and phosphate in early childhood. Pediatr Nephrol 32:1243–1250 [DOI] [PubMed] [Google Scholar]
- 23.Parkinson JRC, Hyde MJ, Gale C, Santhakumaran S, Modi N (2013) Preterm birth and the metabolic syndrome in adult life: A systematic review and meta-analysis. Pediatrics 131:e1240–e1263 [DOI] [PubMed] [Google Scholar]
- 24.Simonetti GD, Raio L, Surbek D, Nelle M, Frey FJ, Mohaupt MG (2008) Salt sensitivity of children with low birth weight. Hypertension 52:625–630 [DOI] [PubMed] [Google Scholar]
- 25.Nixon PA, Washburn LK, O'Shea TM, Shaltout HA, Russell GB, Snively BM, Rose JC (2017) Antenatal steroid exposure and heart rate variability in adolescents born with very low birth weight. Pediatr Res 81:57–62 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Washburn LK, Chappell MC, Beavers D, Diz DI, Jensen ET, Nixon PA, Shaltout HA, South AM, Taylor RN, Rose JC (2017) Adult males of very low birth weight with antenatal corticosteroid exposure exhibit an enhanced blood pressure response to acute stress [abstract]. FASEB J 31 Suppl 1:852.828148782 [Google Scholar]
- 27.Washburn LK, Nixon PA, Russell GB, Snively BM, O'Shea TM (2015) Preterm birth is associated with higher uric acid levels in adolescents. J Pediatr 167:76–80 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.South AM, Nixon PA, Chappell MC, Diz DI, Russell GB, Jensen ET, Shaltout HA, O'Shea TM, Washburn LK (2018) Association between preterm birth and the renin−angiotensin system in adolescence: influence of sex and obesity. J Hypertens. DOI:10.1097/hjh.0000000000001801 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.South AM, Nixon PN, Chappell MC, Diz DI, Jensen ET, Shaltout HA, Washburn LK (2018) Urinary α-klotho is associated with higher blood pressure and reduced urinary angiotensin-(1–7) in young adults born preterm [abstract]. Pediatr Acad Soc E-PAS2018:15021841 [Google Scholar]
- 30.Skilton MR, Viikari JSA, Juonala M, Laitinen T, Lehtimäki T, Taittonen L, Kähönen M, Celermajer DS, Raitakari OT (2011) Fetal growth and preterm birth influence cardiovascular risk factors and arterial health in young adults: The Cardiovascular Risk in Young Finns Study. Arterioscler Thromb Vasc Biol 31:2975–2981 [DOI] [PubMed] [Google Scholar]
- 31.Juonala M, Magnussen CG, Berenson GS, Venn A, Burns TL, Sabin MA, Srinivasan SR, Daniels SR, Davis PH, Chen W, Sun C, Cheung M, Viikari JSA, Dwyer T, Raitakari OT (2011) Childhood adiposity, adult adiposity, and cardiovascular risk factors. N Engl J Med 365:1876–1885 [DOI] [PubMed] [Google Scholar]
- 32.Kwinta P, Klimek M, Drozdz D, Grudzień A, Jagła M, Zasada M, Pietrzyk JJ (2011) Assessment of long-term renal complications in extremely low birth weight children. Pediatr Nephrol 26:1095–1103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Starzec K, Klimek M, Grudzień A, Jagła M, Kwinta P (2016) Longitudinal assessment of renal size and function in extremely low birth weight children at 7 and 11 years of age. Pediatr Nephrol 31:2119–2126 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Hodgin JB, Rasoulpour M, Markowitz GS, D'Agati VD (2009) Very low birth weight is a risk factor for secondary focal segmental glomerulosclerosis. Clin J Am Soc Nephrol 4:71–76 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Sutherland MR, Gubhaju L, Moore L, Kent AL, Dahlstrom JE, Horne RSC, Hoy WE, Bertram JF, Black MJ (2011) Accelerated maturation and abnormal morphology in the preterm neonatal kidney. J Am Soc Nephrol 22:1365–1374 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Curhan GC, Chertow GM, Willett WC, Spiegelman D, Colditz GA, Manson JE, Speizer FE, Stampfer MJ (1996) Birth weight and adult hypertension and obesity in women. Circulation 94:1310–1315 [DOI] [PubMed] [Google Scholar]
- 37.Tsuboi N, Okabayashi Y, Shimizu A, Yokoo T (2017) The renal pathology of obesity. Kidney Int Rep 2:251–260 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Puelles VG, Douglas-Denton RN, Zimanyi MA, Armitage JA, Hughson MD, Kerr PG, Bertram JF (2014) Glomerular hypertrophy in subjects with low nephron number: Contributions of sex, body size and race. Nephrol Dial Transplant 29:1686–1695 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Mian AN, Schwartz GJ (2017) Measurement and estimation of glomerular filtration rate in children. Adv Chronic Kidney Dis 24:348–356 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Pottel H (2017) Measuring and estimating glomerular filtration rate in children. Pediatr Nephrol 32:249–263 [DOI] [PubMed] [Google Scholar]
- 41.Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, Furth SL (2009) New equations to estimate GFR in children with CKD. J Am Soc Nephrol 20:629–637 [DOI] [PMC free article] [PubMed] [Google Scholar]