Pediatric Hypertension and the Renin-Angiotensin SystEm (PHRASE)
PHRASE
2 other identifiers
observational
125
1 country
1
Brief Summary
Studying the causal roles of components of the renin-angiotensin-aldosterone system (including angiotensin-(1-7) (Ang-(1-7)), angiotensin-converting enzyme 2 (ACE2), Ang II, and ACE), uric acid, and klotho in pediatric hypertension and related target organ injury, including in the heart, kidneys, vasculature, and brain. Recruiting children with a new hypertension diagnosis over a 2-year period from the Hypertension and Pediatric Nephrology Clinics affiliated with Brenner Children's Hospital at Atrium Health Wake Forest Baptist and Atrium Health Levine Children's Hospital. Healthy control participants will be recruited from local general primary care practices. Collecting blood and urine samples to analyze components of the renin-angiotensin-aldosterone system (Ang-(1-7), ACE2, Ang II, ACE), uric acid, and klotho, and measuring blood pressure, heart structure and function, autonomic function, vascular function, and kidney function at baseline, year 1, and year 2. Objectives are to investigate phenotypic and treatment response variability and to causally infer if Ang-(1-7), ACE2, Ang II, ACE, uric acid, and klotho contribute to target organ injury due to hypertension.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started May 2021
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 21, 2021
CompletedFirst Posted
Study publicly available on registry
February 12, 2021
CompletedStudy Start
First participant enrolled
May 19, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2026
December 11, 2025
December 1, 2025
5.5 years
January 21, 2021
December 4, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (48)
Baseline Urine Angiotensin-(1-7)/Creatinine Ratio
Urine angiotensin-(1-7) quantified by a highly developed radioimmunoassay well validated against mass spectrometry and standardized to urine creatinine, quantified by a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Urine Angiotensin-(1-7)/Creatinine Ratio
Urine angiotensin-(1-7) quantified by a highly developed radioimmunoassay well validated against mass spectrometry and standardized to urine creatinine, quantified by a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Urine Angiotensin II/Angiotensin-(1-7) Ratio
Urine angiotensin II and angiotensin-(1-7) quantified by highly developed radioimmunoassays well validated against mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Urine Angiotensin II/Angiotensin-(1-7) Ratio
Urine angiotensin II and angiotensin-(1-7) quantified by highly developed radioimmunoassays well validated against mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Plasma Angiotensin-(1-7) Level
Plasma angiotensin-(1-7) quantified by a highly developed radioimmunoassay well validated against mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Plasma Angiotensin-(1-7) Level
Plasma angiotensin-(1-7) quantified by a highly developed radioimmunoassay well validated against mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Plasma Angiotensin II/Angiotensin-(1-7) Ratio
Plasma angiotensin II and angiotensin-(1-7) quantified by highly developed radioimmunoassays well validated against mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Plasma Angiotensin II/Angiotensin-(1-7) Ratio
Plasma angiotensin II and angiotensin-(1-7) quantified by highly developed radioimmunoassays well validated against mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Serum Uric Acid Level
Serum uric acid quantified by a validated uricase assay. Report as a continuous variable with measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline
Change in Serum Uric Acid Level
Serum uric acid quantified by a validated uricase assay. Report as a continuous variable with measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline through 2 years
Baseline Plasma Klotho Level
Plasma α-klotho quantified by a well-validated ELISA. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Plasma Klotho Level
Plasma α-klotho quantified by a well-validated ELISA. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Urine Klotho/Creatinine Ratio
Urine α-klotho quantified by a well-validated ELISA and standardized to urine creatinine, quantified by a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Urine Klotho/Creatinine Ratio
Urine α-klotho quantified by a well-validated ELISA and standardized to urine creatinine, quantified by a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Manual Systolic Blood Pressure
Average of 3 manual measurements per national guidelines. Report measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline
Change in Manual Systolic Blood Pressure
Average of 3 manual measurements per national guidelines. Report measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline through 2 years
Baseline Manual Diastolic Blood Pressure
Average of 3 manual measurements per national guidelines. Report measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline
Change in Manual Diastolic Blood Pressure
Average of 3 manual measurements per national guidelines. Report measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline through 2 years
Baseline Manual Systolic Blood Pressure Z-score
Average of 3 manual measurements per national guidelines with calculated z-score referenced to normative values by age, sex, and height. Report measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline
Change in Manual Systolic Blood Pressure Z-score
Average of 3 manual measurements per national guidelines with calculated z-score referenced to normative values by age, sex, and height. Report measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline through 2 years
Baseline Manual Diastolic Blood Pressure Z-score
Average of 3 manual measurements per national guidelines with calculated z-score referenced to normative values by age, sex, and height. Report measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline
Change in Manual Diastolic Blood Pressure Z-score
Average of 3 manual measurements per national guidelines with calculated z-score referenced to normative values by age, sex, and height. Report measures of central tendency (e.g., mean) and dispersion (e.g., standard deviation, 95 percent confidence interval).
Baseline through 2 years
Baseline Ambulatory Systolic Blood Pressure 24-Hour Mean
Measured via ambulatory blood pressure (BP) monitoring. Average systolic BP over a 24-hour period. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Ambulatory Systolic Blood Pressure 24-Hour Mean
Measured via ambulatory blood pressure (BP) monitoring. Average systolic BP over a 24-hour period. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Ambulatory Diastolic Blood Pressure 24-Hour Mean
Measured via ambulatory blood pressure (BP) monitoring. Average diastolic BP over a 24-hour period. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Ambulatory Diastolic Blood Pressure 24-Hour Mean
Measured via ambulatory blood pressure (BP) monitoring. Average diastolic BP over a 24-hour period. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Left Ventricular Mass Height Index
Left ventricular mass measured via echocardiogram and indexed to height as g/m\^2.7. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Left Ventricular Mass Height Index
Left ventricular mass measured via echocardiogram and indexed to height as g/m\^2.7. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Left Ventricular Mass Body Surface Area Index
Left ventricular mass measured via echocardiogram and indexed to body surface area (BSA) as g/BSA. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Left Ventricular Mass Body Surface Area Index
Left ventricular mass measured via echocardiogram and indexed to body surface area (BSA) as g/BSA. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Left Ventricular Hypertrophy
Measured via echocardiogram. Binary variable defined as left ventricular mass index (LVMI) \>51 g/m\^2.7 (all participants), \>115 g/body surface area (BSA) (males), or \>95 g/BSA (females), per national guidelines. Report relative measures (e.g., risk ratio) and measures of dispersion (e.g., 95 percent confidence interval).
Baseline
Change in Left Ventricular Hypertrophy
Measured via echocardiogram. Binary variable defined as left ventricular mass index (LVMI) \>51 g/m\^2.7 (all participants), \>115 g/body surface area (BSA) (males), or \>95 g/BSA (females), per national guidelines. Report relative measures (e.g., risk ratio) and measures of dispersion (e.g., 95 percent confidence interval).
Baseline through 2 years
Baseline Urine Albumin/Creatinine Ratio
Measured in fasting first-morning urine samples. Albumin analyzed in the Clinical Laboratory and creatinine analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Urine Albumin/Creatinine Ratio
Measured in fasting first-morning urine samples. Albumin analyzed in the Clinical Laboratory and creatinine analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Albuminuria
Measured in fasting first-morning urine samples. Albumin analyzed in the Clinical Laboratory and creatinine analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry. Binary variable defined as an albumin/creatinine ratio \>30 mg/g. Report relative measures (e.g., risk ratio) and measures of dispersion (e.g., 95 percent confidence interval).
Baseline
Change in Albuminuria
Measured in fasting first-morning urine samples. Albumin analyzed in the Clinical Laboratory and creatinine analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry. Binary variable defined as an albumin/creatinine ratio \>30 mg/g. Report relative measures (e.g., risk ratio) and measures of dispersion (e.g., 95 percent confidence interval).
Baseline through 2 years
Baseline Serum Creatinine Level
Measured in the serum and analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Serum Creatinine Level
Measured in the serum and analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Estimated Glomerular Filtration Rate
Estimated using validated, non-race-based, age-appropriate equations (modified Schwartz equation and height- and age-based full-age-spectrum equations with serum creatinine (analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry) and serum cystatin C (analyzed via the Clinical Laboratory). Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Estimated Glomerular Filtration Rate
Estimated using validated, non-race-based, age-appropriate equations (modified Schwartz equation and height- and age-based full-age-spectrum equations with serum creatinine (analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry) and serum cystatin C (analyzed via the Clinical Laboratory). Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Urine Sodium Concentration
Measured sodium and creatinine in fasting, first-morning urine samples. Sodium analyzed in the Clinical Laboratory, and creatinine analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Urine Sodium Concentration
Measured sodium and creatinine in fasting, first-morning urine samples. Sodium analyzed in the Clinical Laboratory, and creatinine analyzed via a modified Jaffe assay traceable to isotope dilution mass spectrometry. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Urine Sodium/Potassium Ratio
Measured sodium and potassium in fasting, first-morning urine samples and analyzed in the Clinical Laboratory. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Urine Sodium/Potassium Ratio
Measured sodium and potassium in fasting, first-morning urine samples and analyzed in the Clinical Laboratory. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Plasma Renin Activity
Measured in the plasma with a well-validated assay. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Plasma Renin Activity
Measured in the plasma with a well-validated assay. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Baseline Serum Aldosterone Level
Measured in the serum with a well-validated assay. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline
Change in Serum Aldosterone Level
Measured in the serum with a well-validated assay. Report measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range, 95 percent confidence interval).
Baseline through 2 years
Secondary Outcomes (105)
Baseline Urine Angiotensin II/Creatinine Ratio
Baseline
Change in Urine Angiotensin II/Creatinine Ratio
Baseline through 2 years
Baseline Urine Angiotensin-Converting Enzyme 2 Level
Baseline
Change in Urine Angiotensin-Converting Enzyme 2 Level
Baseline through 2 years
Baseline Urine Angiotensin-Converting Enzyme Level
Baseline
- +100 more secondary outcomes
Study Arms (2)
Hypertension Cohort
Participants with newly diagnosed primary hypertension
Control Cohort
Healthy participants with normal blood pressure
Eligibility Criteria
Hypertension Cohort: Participants will be recruited from among new patients referred to the Hypertension Clinic at Brenner Children's Hospital. Patient population at this clinic, which sees over 300 new patients/year, is 55% White, 25% Black, 16% Hispanic, and 62% male. Goal is to enroll 100 participants over a 2-year period. Control Cohort: Participants for this cohort will be recruited from among healthy patients seen at local pediatrics practices. Goal is to enroll 25 participants over a 2-year period, frequency-matched to the Hypertension Cohort on age, self-identified race, and sex.
You may qualify if:
- years of age at time of enrollment
- Confirmed new diagnosis of primary hypertension: no identifiable secondary cause, referred to hypertension or nephrology clinic
- Age \<13 years: BP ≥95th %ile or ≥130/80 mmHg (whichever is lower)
- Age ≥13 years: BP ≥130/80 mmHg
- Participants and their caregivers must be willing and able to commit to completing the study assessments
You may not qualify if:
- \<7 years or \>18 years of age at time of enrollment
- BP confirmed as normal or in the elevated BP category based on ≥3 prior office BP measurements on separate days;
- Age \<13 years: BP \<95th %ile or \<130/80 mmHg (whichever is lower)
- Age ≥13 years: BP \<130/80 mmHg
- A confirmed secondary cause of hypertension
- Confounding medical condition (heart or kidney disease \[except hypertension-associated heart changes on echocardiogram or albuminuria\], vascular/inflammatory disease, or diabetes)
- Inability to complete study assessments
- Non-English/Spanish speakers
- Current pregnancy
- Ward of the State
- years of age at time of enrollment
- Normal BP based on ≥3 prior office BP measurements on separate days;
- Age \<13 years: BP \<90th %ile or \<120/80 mmHg (whichever is lower)
- Age ≥13 years: BP \<120/80 mmHg
- Participants and their caregivers must be willing and able to commit to completing the study assessments
- +11 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Wake Forest Health Sciences
Winston-Salem, North Carolina, 27157, United States
Related Publications (92)
Benjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, de Ferranti SD, Ferguson JF, Fornage M, Gillespie C, Isasi CR, Jimenez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Lutsey PL, Mackey JS, Matchar DB, Matsushita K, Mussolino ME, Nasir K, O'Flaherty M, Palaniappan LP, Pandey A, Pandey DK, Reeves MJ, Ritchey MD, Rodriguez CJ, Roth GA, Rosamond WD, Sampson UKA, Satou GM, Shah SH, Spartano NL, Tirschwell DL, Tsao CW, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association. Circulation. 2018 Mar 20;137(12):e67-e492. doi: 10.1161/CIR.0000000000000558. Epub 2018 Jan 31. No abstract available.
PMID: 29386200BACKGROUNDLaslett LJ, Alagona P Jr, Clark BA 3rd, Drozda JP Jr, Saldivar F, Wilson SR, Poe C, Hart M. The worldwide environment of cardiovascular disease: prevalence, diagnosis, therapy, and policy issues: a report from the American College of Cardiology. J Am Coll Cardiol. 2012 Dec 25;60(25 Suppl):S1-49. doi: 10.1016/j.jacc.2012.11.002.
PMID: 23257320BACKGROUNDDanaei G, Ding EL, Mozaffarian D, Taylor B, Rehm J, Murray CJ, Ezzati M. The preventable causes of death in the United States: comparative risk assessment of dietary, lifestyle, and metabolic risk factors. PLoS Med. 2009 Apr 28;6(4):e1000058. doi: 10.1371/journal.pmed.1000058. Epub 2009 Apr 28.
PMID: 19399161BACKGROUNDLim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, Bryan-Hancock C, Bucello C, Buchbinder R, Bull F, Burnett RT, Byers TE, Calabria B, Carapetis J, Carnahan E, Chafe Z, Charlson F, Chen H, Chen JS, Cheng AT, Child JC, Cohen A, Colson KE, Cowie BC, Darby S, Darling S, Davis A, Degenhardt L, Dentener F, Des Jarlais DC, Devries K, Dherani M, Ding EL, Dorsey ER, Driscoll T, Edmond K, Ali SE, Engell RE, Erwin PJ, Fahimi S, Falder G, Farzadfar F, Ferrari A, Finucane MM, Flaxman S, Fowkes FG, Freedman G, Freeman MK, Gakidou E, Ghosh S, Giovannucci E, Gmel G, Graham K, Grainger R, Grant B, Gunnell D, Gutierrez HR, Hall W, Hoek HW, Hogan A, Hosgood HD 3rd, Hoy D, Hu H, Hubbell BJ, Hutchings SJ, Ibeanusi SE, Jacklyn GL, Jasrasaria R, Jonas JB, Kan H, Kanis JA, Kassebaum N, Kawakami N, Khang YH, Khatibzadeh S, Khoo JP, Kok C, Laden F, Lalloo R, Lan Q, Lathlean T, Leasher JL, Leigh J, Li Y, Lin JK, Lipshultz SE, London S, Lozano R, Lu Y, Mak J, Malekzadeh R, Mallinger L, Marcenes W, March L, Marks R, Martin R, McGale P, McGrath J, Mehta S, Mensah GA, Merriman TR, Micha R, Michaud C, Mishra V, Mohd Hanafiah K, Mokdad AA, Morawska L, Mozaffarian D, Murphy T, Naghavi M, Neal B, Nelson PK, Nolla JM, Norman R, Olives C, Omer SB, Orchard J, Osborne R, Ostro B, Page A, Pandey KD, Parry CD, Passmore E, Patra J, Pearce N, Pelizzari PM, Petzold M, Phillips MR, Pope D, Pope CA 3rd, Powles J, Rao M, Razavi H, Rehfuess EA, Rehm JT, Ritz B, Rivara FP, Roberts T, Robinson C, Rodriguez-Portales JA, Romieu I, Room R, Rosenfeld LC, Roy A, Rushton L, Salomon JA, Sampson U, Sanchez-Riera L, Sanman E, Sapkota A, Seedat S, Shi P, Shield K, Shivakoti R, Singh GM, Sleet DA, Smith E, Smith KR, Stapelberg NJ, Steenland K, Stockl H, Stovner LJ, Straif K, Straney L, Thurston GD, Tran JH, Van Dingenen R, van Donkelaar A, Veerman JL, Vijayakumar L, Weintraub R, Weissman MM, White RA, Whiteford H, Wiersma ST, Wilkinson JD, Williams HC, Williams W, Wilson N, Woolf AD, Yip P, Zielinski JM, Lopez AD, Murray CJ, Ezzati M, AlMazroa MA, Memish ZA. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012 Dec 15;380(9859):2224-60. doi: 10.1016/S0140-6736(12)61766-8.
PMID: 23245609BACKGROUNDSaran R, Li Y, Robinson B, Ayanian J, Balkrishnan R, Bragg-Gresham J, Chen JT, Cope E, Gipson D, He K, Herman W, Heung M, Hirth RA, Jacobsen SS, Kalantar-Zadeh K, Kovesdy CP, Leichtman AB, Lu Y, Molnar MZ, Morgenstern H, Nallamothu B, O'Hare AM, Pisoni R, Plattner B, Port FK, Rao P, Rhee CM, Schaubel DE, Selewski DT, Shahinian V, Sim JJ, Song P, Streja E, Kurella Tamura M, Tentori F, Eggers PW, Agodoa LY, Abbott KC. US Renal Data System 2014 Annual Data Report: Epidemiology of Kidney Disease in the United States. Am J Kidney Dis. 2015 Jul;66(1 Suppl 1):Svii, S1-305. doi: 10.1053/j.ajkd.2015.05.001. No abstract available.
PMID: 26111994BACKGROUNDChen X, Wang Y. Tracking of blood pressure from childhood to adulthood: a systematic review and meta-regression analysis. Circulation. 2008 Jun 24;117(25):3171-80. doi: 10.1161/CIRCULATIONAHA.107.730366. Epub 2008 Jun 16.
PMID: 18559702BACKGROUNDHao G, Wang X, Treiber FA, Harshfield G, Kapuku G, Su S. Blood Pressure Trajectories From Childhood to Young Adulthood Associated With Cardiovascular Risk: Results From the 23-Year Longitudinal Georgia Stress and Heart Study. Hypertension. 2017 Mar;69(3):435-442. doi: 10.1161/HYPERTENSIONAHA.116.08312. Epub 2017 Jan 16.
PMID: 28093467BACKGROUNDFlynn JT, Kaelber DC, Baker-Smith CM, et al; SUBCOMMITTEE ON SCREENING AND MANAGEMENT OF HIGH BLOOD PRESSURE IN CHILDREN. Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents. Pediatrics. 2017; 140(3):e20171904. Pediatrics. 2017 Dec;140(6):e20173035. doi: 10.1542/peds.2017-3035. No abstract available.
PMID: 29192011BACKGROUNDDin-Dzietham R, Liu Y, Bielo MV, Shamsa F. High blood pressure trends in children and adolescents in national surveys, 1963 to 2002. Circulation. 2007 Sep 25;116(13):1488-96. doi: 10.1161/CIRCULATIONAHA.106.683243. Epub 2007 Sep 10.
PMID: 17846287BACKGROUNDAssadi F. Effect of microalbuminuria lowering on regression of left ventricular hypertrophy in children and adolescents with essential hypertension. Pediatr Cardiol. 2007 Jan-Feb;28(1):27-33. doi: 10.1007/s00246-006-1390-4. Epub 2007 Feb 16.
PMID: 17308944BACKGROUNDLitwin M, Niemirska A, Sladowska-Kozlowska J, Wierzbicka A, Janas R, Wawer ZT, Wisniewski A, Feber J. Regression of target organ damage in children and adolescents with primary hypertension. Pediatr Nephrol. 2010 Dec;25(12):2489-99. doi: 10.1007/s00467-010-1626-7. Epub 2010 Aug 21.
PMID: 20730452BACKGROUNDSeeman T, Dostalek L, Gilik J. Control of hypertension in treated children and its association with target organ damage. Am J Hypertens. 2012 Mar;25(3):389-95. doi: 10.1038/ajh.2011.218. Epub 2011 Nov 17.
PMID: 22089110BACKGROUNDSamuel JP, Samuels JA, Brooks LE, Bell CS, Pedroza C, Molony DA, Tyson JE. Comparative effectiveness of antihypertensive treatment for older children with primary hypertension: study protocol for a series of n-of-1 randomized trials. Trials. 2016 Jan 8;17:16. doi: 10.1186/s13063-015-1142-y.
PMID: 26746195BACKGROUNDBenjamin DK Jr, Smith PB, Jadhav P, Gobburu JV, Murphy MD, Hasselblad V, Baker-Smith C, Califf RM, Li JS. Pediatric antihypertensive trial failures: analysis of end points and dose range. Hypertension. 2008 Apr;51(4):834-40. doi: 10.1161/HYPERTENSIONAHA.107.108886. Epub 2008 Mar 10.
PMID: 18332283BACKGROUNDFeber J, Ahmed M. Hypertension in children: new trends and challenges. Clin Sci (Lond). 2010 May 14;119(4):151-61. doi: 10.1042/CS20090544.
PMID: 20477751BACKGROUNDHall JE, Granger JP, do Carmo JM, da Silva AA, Dubinion J, George E, Hamza S, Speed J, Hall ME. Hypertension: physiology and pathophysiology. Compr Physiol. 2012 Oct;2(4):2393-442. doi: 10.1002/cphy.c110058.
PMID: 23720252BACKGROUNDChappell MC, Marshall AC, Alzayadneh EM, Shaltout HA, Diz DI. Update on the Angiotensin converting enzyme 2-Angiotensin (1-7)-MAS receptor axis: fetal programing, sex differences, and intracellular pathways. Front Endocrinol (Lausanne). 2014 Jan 9;4:201. doi: 10.3389/fendo.2013.00201.
PMID: 24409169BACKGROUNDSouth AM, Shaltout HA, Washburn LK, Hendricks AS, Diz DI, Chappell MC. Fetal programming and the angiotensin-(1-7) axis: a review of the experimental and clinical data. Clin Sci (Lond). 2019 Jan 8;133(1):55-74. doi: 10.1042/CS20171550. Print 2019 Jan 15.
PMID: 30622158BACKGROUNDShatat IF, Flynn JT. Relationships between renin, aldosterone, and 24-hour ambulatory blood pressure in obese adolescents. Pediatr Res. 2011 Apr;69(4):336-40. doi: 10.1203/PDR.0b013e31820bd148.
PMID: 21178817BACKGROUNDGarin EH, Araya CE. Treatment of systemic hypertension in children and adolescents. Curr Opin Pediatr. 2009 Oct;21(5):600-4. doi: 10.1097/MOP.0b013e32832ff3a7.
PMID: 19606039BACKGROUNDChappell MC. Biochemical evaluation of the renin-angiotensin system: the good, bad, and absolute? Am J Physiol Heart Circ Physiol. 2016 Jan 15;310(2):H137-52. doi: 10.1152/ajpheart.00618.2015. Epub 2015 Oct 16.
PMID: 26475588BACKGROUNDWolkow PP, Bujak-Gizycka B, Jawien J, Olszanecki R, Madej J, Rutowski J, Korbut R. Exogenous Angiotensin I Metabolism in Aorta Isolated from Streptozotocin Treated Diabetic Rats. J Diabetes Res. 2016;2016:4846819. doi: 10.1155/2016/4846819. Epub 2016 Oct 10.
PMID: 27803936BACKGROUNDPendergrass KD, Gwathmey TM, Michalek RD, Grayson JM, Chappell MC. The angiotensin II-AT1 receptor stimulates reactive oxygen species within the cell nucleus. Biochem Biophys Res Commun. 2009 Jun 26;384(2):149-54. doi: 10.1016/j.bbrc.2009.04.126. Epub 2009 May 3.
PMID: 19409874BACKGROUNDDilauro M, Zimpelmann J, Robertson SJ, Genest D, Burns KD. Effect of ACE2 and angiotensin-(1-7) in a mouse model of early chronic kidney disease. Am J Physiol Renal Physiol. 2010 Jun;298(6):F1523-32. doi: 10.1152/ajprenal.00426.2009. Epub 2010 Mar 31.
PMID: 20357030BACKGROUNDBenter IF, Yousif MH, Anim JT, Cojocel C, Diz DI. Angiotensin-(1-7) prevents development of severe hypertension and end-organ damage in spontaneously hypertensive rats treated with L-NAME. Am J Physiol Heart Circ Physiol. 2006 Feb;290(2):H684-91. doi: 10.1152/ajpheart.00632.2005.
PMID: 16403946BACKGROUNDESCAPE Trial Group; Wuhl E, Trivelli A, Picca S, Litwin M, Peco-Antic A, Zurowska A, Testa S, Jankauskiene A, Emre S, Caldas-Afonso A, Anarat A, Niaudet P, Mir S, Bakkaloglu A, Enke B, Montini G, Wingen AM, Sallay P, Jeck N, Berg U, Caliskan S, Wygoda S, Hohbach-Hohenfellner K, Dusek J, Urasinski T, Arbeiter K, Neuhaus T, Gellermann J, Drozdz D, Fischbach M, Moller K, Wigger M, Peruzzi L, Mehls O, Schaefer F. Strict blood-pressure control and progression of renal failure in children. N Engl J Med. 2009 Oct 22;361(17):1639-50. doi: 10.1056/NEJMoa0902066.
PMID: 19846849BACKGROUNDSimoes E Silva AC, Diniz JS, Regueira Filho A, Santos RA. The renin angiotensin system in childhood hypertension: selective increase of angiotensin-(1-7) in essential hypertension. J Pediatr. 2004 Jul;145(1):93-8. doi: 10.1016/j.jpeds.2004.03.055.
PMID: 15238914BACKGROUNDFerrario CM, Martell N, Yunis C, Flack JM, Chappell MC, Brosnihan KB, Dean RH, Fernandez A, Novikov SV, Pinillas C, Luque M. Characterization of angiotensin-(1-7) in the urine of normal and essential hypertensive subjects. Am J Hypertens. 1998 Feb;11(2):137-46. doi: 10.1016/s0895-7061(97)00400-7.
PMID: 9524041BACKGROUNDSouth AM, Nixon PA, Chappell MC, Diz DI, Russell GB, Snively BM, Shaltout HA, Rose JC, O'Shea TM, Washburn LK. Antenatal corticosteroids and the renin-angiotensin-aldosterone system in adolescents born preterm. Pediatr Res. 2017 Jan;81(1-1):88-93. doi: 10.1038/pr.2016.179. Epub 2016 Sep 16.
PMID: 27636897BACKGROUNDSouth AM, Nixon PA, Chappell MC, Diz DI, Russell GB, Jensen ET, Shaltout HA, O'Shea TM, Washburn LK. Association between preterm birth and the renin-angiotensin system in adolescence: influence of sex and obesity. J Hypertens. 2018 Oct;36(10):2092-2101. doi: 10.1097/HJH.0000000000001801.
PMID: 29846325BACKGROUNDSouth AM, Pao AC, Grimm PC. Subclinical injury in pediatric renal transplant patients: ACE2 and Ang-(1-7) as novel biomarkers [abstract]. Clin Transl Sci 2014; 7:232-3.
BACKGROUNDSouth AM, Nixon PA, Chappell MC, et al. Preterm adolescents exhibit higher blood pressure and sodium retention with higher uric acid and differential circulating renin-angiotensin system expression [abstract]. FASEB J 2018; 32:883.6
BACKGROUNDSouth AM, Nixon PN, Chappell MC, et al. Elevated blood pressure and sodium retention in young adults born preterm may reflect uric acid-related suppression of renal angiotensin-(1-7) [abstract]. Pediatric Academic Societies 2018; E-PAS2018:3150.3
BACKGROUNDShaltout HA, Rose JC, Chappell MC, Diz DI. Angiotensin-(1-7) deficiency and baroreflex impairment precede the antenatal Betamethasone exposure-induced elevation in blood pressure. Hypertension. 2012 Feb;59(2):453-8. doi: 10.1161/HYPERTENSIONAHA.111.185876. Epub 2012 Jan 3.
PMID: 22215705BACKGROUNDWashburn LK, Nixon PA, Russell GB, Snively BM, O'Shea TM. Preterm Birth Is Associated with Higher Uric Acid Levels in Adolescents. J Pediatr. 2015 Jul;167(1):76-80. doi: 10.1016/j.jpeds.2015.03.043. Epub 2015 Apr 11.
PMID: 25868431BACKGROUNDShaltout HA, Nixon PA, Chappell MC, et al. Impaired autonomic function in young adults born preterm with very low birth weight is associated with elevated serum uric acid levels [abstract]. Hypertension 2018; ePub; doi:
BACKGROUNDSouth AM, Nixon PN, Chappell MC, et al. Urinary α-klotho is associated with higher blood pressure and reduced urinary angiotensin-(1-7) in young adults born preterm [abstract]. Pediatric Academic Societies 2018; E-PAS2018:1502.841
BACKGROUNDSouth AM, Arguelles L, Finer G, Langman CB. Race, obesity, and the renin-angiotensin-aldosterone system: treatment response in children with primary hypertension. Pediatr Nephrol. 2017 Sep;32(9):1585-1594. doi: 10.1007/s00467-017-3665-9. Epub 2017 Apr 14.
PMID: 28411317BACKGROUNDKhosla UM, Zharikov S, Finch JL, Nakagawa T, Roncal C, Mu W, Krotova K, Block ER, Prabhakar S, Johnson RJ. Hyperuricemia induces endothelial dysfunction. Kidney Int. 2005 May;67(5):1739-42. doi: 10.1111/j.1523-1755.2005.00273.x.
PMID: 15840020BACKGROUNDViazzi F, Antolini L, Giussani M, Brambilla P, Galbiati S, Mastriani S, Stella A, Pontremoli R, Valsecchi MG, Genovesi S. Serum uric acid and blood pressure in children at cardiovascular risk. Pediatrics. 2013 Jul;132(1):e93-9. doi: 10.1542/peds.2013-0047. Epub 2013 Jun 17.
PMID: 23776119BACKGROUNDFeig DI, Soletsky B, Johnson RJ. Effect of allopurinol on blood pressure of adolescents with newly diagnosed essential hypertension: a randomized trial. JAMA. 2008 Aug 27;300(8):924-32. doi: 10.1001/jama.300.8.924.
PMID: 18728266BACKGROUNDZhang JX, Zhang YP, Wu QN, Chen B. Uric acid induces oxidative stress via an activation of the renin-angiotensin system in 3T3-L1 adipocytes. Endocrine. 2015 Feb;48(1):135-42. doi: 10.1007/s12020-014-0239-5. Epub 2014 Mar 28.
PMID: 24671741BACKGROUNDMule G, Castiglia A, Morreale M, Geraci G, Cusumano C, Guarino L, Altieri D, Panzica M, Vaccaro F, Cottone S. Serum uric acid is not independently associated with plasma renin activity and plasma aldosterone in hypertensive adults. Nutr Metab Cardiovasc Dis. 2017 Apr;27(4):350-359. doi: 10.1016/j.numecd.2016.12.008. Epub 2016 Dec 27.
PMID: 28274727BACKGROUNDMcMullan CJ, Borgi L, Fisher N, Curhan G, Forman J. Effect of Uric Acid Lowering on Renin-Angiotensin-System Activation and Ambulatory BP: A Randomized Controlled Trial. Clin J Am Soc Nephrol. 2017 May 8;12(5):807-816. doi: 10.2215/CJN.10771016. Epub 2017 Mar 20.
PMID: 28320765BACKGROUNDSouth AM, Shaltout HA, Nixon PA, Diz DI, Jensen ET, O'Shea TM, Chappell MC, Washburn LK. Association of circulating uric acid and angiotensin-(1-7) in relation to higher blood pressure in adolescents and the influence of preterm birth. J Hum Hypertens. 2020 Dec;34(12):818-825. doi: 10.1038/s41371-020-0335-3. Epub 2020 Apr 28.
PMID: 32346123BACKGROUNDSu XM, Yang W. Klotho protein lowered in elderly hypertension. Int J Clin Exp Med. 2014 Aug 15;7(8):2347-50. eCollection 2014.
PMID: 25232434BACKGROUNDNagai R, Saito Y, Ohyama Y, Aizawa H, Suga T, Nakamura T, Kurabayashi M, Kuroo M. Endothelial dysfunction in the klotho mouse and downregulation of klotho gene expression in various animal models of vascular and metabolic diseases. Cell Mol Life Sci. 2000 May;57(5):738-46. doi: 10.1007/s000180050038.
PMID: 10892340BACKGROUNDKaralliedde J, Maltese G, Hill B, Viberti G, Gnudi L. Effect of renin-angiotensin system blockade on soluble Klotho in patients with type 2 diabetes, systolic hypertension, and albuminuria. Clin J Am Soc Nephrol. 2013 Nov;8(11):1899-905. doi: 10.2215/CJN.02700313. Epub 2013 Aug 8.
PMID: 23929932BACKGROUNDMitani H, Ishizaka N, Aizawa T, Ohno M, Usui S, Suzuki T, Amaki T, Mori I, Nakamura Y, Sato M, Nangaku M, Hirata Y, Nagai R. In vivo klotho gene transfer ameliorates angiotensin II-induced renal damage. Hypertension. 2002 Apr;39(4):838-43. doi: 10.1161/01.hyp.0000013734.33441.ea.
PMID: 11967236BACKGROUNDYoon HE, Ghee JY, Piao S, Song JH, Han DH, Kim S, Ohashi N, Kobori H, Kuro-o M, Yang CW. Angiotensin II blockade upregulates the expression of Klotho, the anti-ageing gene, in an experimental model of chronic cyclosporine nephropathy. Nephrol Dial Transplant. 2011 Mar;26(3):800-13. doi: 10.1093/ndt/gfq537. Epub 2010 Sep 2.
PMID: 20813770BACKGROUNDZhou L, Mo H, Miao J, Zhou D, Tan RJ, Hou FF, Liu Y. Klotho Ameliorates Kidney Injury and Fibrosis and Normalizes Blood Pressure by Targeting the Renin-Angiotensin System. Am J Pathol. 2015 Dec;185(12):3211-23. doi: 10.1016/j.ajpath.2015.08.004. Epub 2015 Oct 24.
PMID: 26475416BACKGROUNDSouth AM, Shaltout HA, Gwathmey TM, Jensen ET, Nixon PA, Diz DI, Chappell MC, Washburn LK. Lower urinary alpha-Klotho is associated with lower angiotensin-(1-7) and higher blood pressure in young adults born preterm with very low birthweight. J Clin Hypertens (Greenwich). 2020 Jun;22(6):1033-1040. doi: 10.1111/jch.13897. Epub 2020 May 31.
PMID: 32475043BACKGROUNDClinicalTrials.gov [Internet]. Bethesda (MD): National Library of Medicine (US). 2017/10/10. Identifier NCT03305562: Pediatric Hypertension Registry (PHREG); 2017/10/16. Available from: https://ClinicalTrials.gov/show/NCT03305562
BACKGROUNDClinicalTrials.gov [Internet]. Bethesday (MD): National Library of Medicine (US). 2017 Oct 16. Identifier NCT03310684: Pediatric Primary Hypertension and the Renin-Angiotensin System (PHRAS); 2017 Oct 16. Available from: https://ClinicalTrials.gov/show/NCT03310684
BACKGROUNDLytle LA, Nichaman MZ, Obarzanek E, Glovsky E, Montgomery D, Nicklas T, Zive M, Feldman H. Validation of 24-hour recalls assisted by food records in third-grade children. The CATCH Collaborative Group. J Am Diet Assoc. 1993 Dec;93(12):1431-6. doi: 10.1016/0002-8223(93)92247-u.
PMID: 8245378BACKGROUNDMorisky DE, Ang A, Krousel-Wood M, Ward HJ. Predictive validity of a medication adherence measure in an outpatient setting. J Clin Hypertens (Greenwich). 2008 May;10(5):348-54. doi: 10.1111/j.1751-7176.2008.07572.x.
PMID: 18453793BACKGROUNDEakin MN, Brady T, Kandasamy V, Fivush B, Riekert KA. Disparities in antihypertensive medication adherence in adolescents. Pediatr Nephrol. 2013 Aug;28(8):1267-73. doi: 10.1007/s00467-013-2455-2. Epub 2013 Mar 20.
PMID: 23512259BACKGROUNDTang KL, Quan H, Rabi DM. Measuring medication adherence in patients with incident hypertension: a retrospective cohort study. BMC Health Serv Res. 2017 Feb 13;17(1):135. doi: 10.1186/s12913-017-2073-y.
PMID: 28193217BACKGROUNDPruette CS, Coburn SS, Eaton CK, Brady TM, Tuchman S, Mendley S, Fivush BA, Eakin MN, Riekert KA. Does a multimethod approach improve identification of medication nonadherence in adolescents with chronic kidney disease? Pediatr Nephrol. 2019 Jan;34(1):97-105. doi: 10.1007/s00467-018-4044-x. Epub 2018 Aug 16.
PMID: 30116892BACKGROUNDLoichinger MH, Towner D, Thompson KS, Ahn HJ, Bryant-Greenwood GD. Systemic and placental alpha-klotho: Effects of preeclampsia in the last trimester of gestation. Placenta. 2016 May;41:53-61. doi: 10.1016/j.placenta.2016.03.004. Epub 2016 Mar 8.
PMID: 27208408BACKGROUNDDrew DA, Katz R, Kritchevsky S, Ix J, Shlipak M, Gutierrez OM, Newman A, Hoofnagle A, Fried L, Semba RD, Sarnak M. Association between Soluble Klotho and Change in Kidney Function: The Health Aging and Body Composition Study. J Am Soc Nephrol. 2017 Jun;28(6):1859-1866. doi: 10.1681/ASN.2016080828. Epub 2017 Jan 19.
PMID: 28104822BACKGROUNDRosner B, Cook N, Portman R, Daniels S, Falkner B. Determination of blood pressure percentiles in normal-weight children: some methodological issues. Am J Epidemiol. 2008 Mar 15;167(6):653-66. doi: 10.1093/aje/kwm348. Epub 2008 Jan 29.
PMID: 18230679BACKGROUNDFlynn JT, Daniels SR, Hayman LL, Maahs DM, McCrindle BW, Mitsnefes M, Zachariah JP, Urbina EM; American Heart Association Atherosclerosis, Hypertension and Obesity in Youth Committee of the Council on Cardiovascular Disease in the Young. Update: ambulatory blood pressure monitoring in children and adolescents: a scientific statement from the American Heart Association. Hypertension. 2014 May;63(5):1116-35. doi: 10.1161/HYP.0000000000000007. Epub 2014 Mar 3. No abstract available.
PMID: 24591341BACKGROUNDSorof JM, Cardwell G, Franco K, Portman RJ. Ambulatory blood pressure and left ventricular mass index in hypertensive children. Hypertension. 2002 Apr;39(4):903-8. doi: 10.1161/01.hyp.0000013266.40320.3b.
PMID: 11967247BACKGROUNDWuhl E, Witte K, Soergel M, Mehls O, Schaefer F; German Working Group on Pediatric Hypertension. Distribution of 24-h ambulatory blood pressure in children: normalized reference values and role of body dimensions. J Hypertens. 2002 Oct;20(10):1995-2007. doi: 10.1097/00004872-200210000-00019.
PMID: 12359978BACKGROUNDKhoury PR, Mitsnefes M, Daniels SR, Kimball TR. Age-specific reference intervals for indexed left ventricular mass in children. J Am Soc Echocardiogr. 2009 Jun;22(6):709-14. doi: 10.1016/j.echo.2009.03.003. Epub 2009 May 7.
PMID: 19423289BACKGROUNDKhoury M, Khoury PR, Dolan LM, Kimball TR, Urbina EM. Clinical Implications of the Revised AAP Pediatric Hypertension Guidelines. Pediatrics. 2018 Aug;142(2):e20180245. doi: 10.1542/peds.2018-0245. Epub 2018 Jul 5.
PMID: 29976572BACKGROUNDBaker-Smith CM, Flinn SK, Flynn JT, Kaelber DC, Blowey D, Carroll AE, Daniels SR, de Ferranti SD, Dionne JM, Falkner B, Gidding SS, Goodwin C, Leu MG, Powers ME, Rea C, Samuels J, Simasek M, Thaker VV, Urbina EM; SUBCOMMITTEE ON SCREENING AND MANAGEMENT OF HIGH BP IN CHILDREN. Diagnosis, Evaluation, and Management of High Blood Pressure in Children and Adolescents. Pediatrics. 2018 Sep;142(3):e20182096. doi: 10.1542/peds.2018-2096. Epub 2018 Aug 20.
PMID: 30126937BACKGROUNDFortunato JE, Tegeler CL, Gerdes L, Lee SW, Pajewski NM, Franco ME, Cook JF, Shaltout HA, Tegeler CH. Use of an allostatic neurotechnology by adolescents with postural orthostatic tachycardia syndrome (POTS) is associated with improvements in heart rate variability and changes in temporal lobe electrical activity. Exp Brain Res. 2016 Mar;234(3):791-8. doi: 10.1007/s00221-015-4499-y. Epub 2015 Dec 8.
PMID: 26645307BACKGROUNDParati G, Saul JP, Di Rienzo M, Mancia G. Spectral analysis of blood pressure and heart rate variability in evaluating cardiovascular regulation. A critical appraisal. Hypertension. 1995 Jun;25(6):1276-86. doi: 10.1161/01.hyp.25.6.1276.
PMID: 7768574BACKGROUNDButlin M, Qasem A. Large Artery Stiffness Assessment Using SphygmoCor Technology. Pulse (Basel). 2017 Jan;4(4):180-192. doi: 10.1159/000452448. Epub 2016 Dec 1.
PMID: 28229053BACKGROUNDRademacher ER, Sinaiko AR. Albuminuria in children. Curr Opin Nephrol Hypertens. 2009 May;18(3):246-51. doi: 10.1097/MNH.0b013e3283294b98.
PMID: 19276802BACKGROUNDSchwartz GJ, Schneider MF, Maier PS, Moxey-Mims M, Dharnidharka VR, Warady BA, Furth SL, Munoz A. Improved equations estimating GFR in children with chronic kidney disease using an immunonephelometric determination of cystatin C. Kidney Int. 2012 Aug;82(4):445-53. doi: 10.1038/ki.2012.169.
PMID: 22622496BACKGROUNDSchwartz 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. 2009 Mar;20(3):629-37. doi: 10.1681/ASN.2008030287. Epub 2009 Jan 21.
PMID: 19158356BACKGROUNDPottel H, Bjork J, Bokenkamp A, Berg U, Asling-Monemi K, Selistre L, Dubourg L, Hansson M, Littmann K, Jones I, Sjostrom P, Nyman U, Delanaye P. Estimating glomerular filtration rate at the transition from pediatric to adult care. Kidney Int. 2019 May;95(5):1234-1243. doi: 10.1016/j.kint.2018.12.020. Epub 2019 Feb 28.
PMID: 30922665BACKGROUNDKuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, Wei R, Curtin LR, Roche AF, Johnson CL. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat 11. 2002 May;(246):1-190.
PMID: 12043359BACKGROUNDCroghan C, Egeghy PP. Methods of dealing with values below the limit of detection using SAS. Southeastern SAS User Group. 2003;N/A
BACKGROUNDShrier I, Platt RW. Reducing bias through directed acyclic graphs. BMC Med Res Methodol. 2008 Oct 30;8:70. doi: 10.1186/1471-2288-8-70.
PMID: 18973665BACKGROUNDKnol MJ, VanderWeele TJ. Recommendations for presenting analyses of effect modification and interaction. Int J Epidemiol. 2012 Apr;41(2):514-20. doi: 10.1093/ije/dyr218. Epub 2012 Jan 9.
PMID: 22253321BACKGROUNDHansen BB, Klopfer SO. Optimal full matching and related designs via network flows. J Comput Graph Stat 2006; 15:609-27.
BACKGROUNDHansen BB, Fredrickson M, Buckner J, et al. Using Optmatch on data in SAS, Stata, etc. 2019;2019
BACKGROUNDZhang Z, Zheng C, Kim C, Van Poucke S, Lin S, Lan P. Causal mediation analysis in the context of clinical research. Ann Transl Med. 2016 Nov;4(21):425. doi: 10.21037/atm.2016.11.11.
PMID: 27942516BACKGROUNDLin S-H. 2016. Causal mediation analysis with time-varying and multiple mediators. Doctoral Dissertation, Harvard T.H. Chan School of Public Health.
BACKGROUNDVanderWeele TJ. A unification of mediation and interaction: a 4-way decomposition. Epidemiology. 2014 Sep;25(5):749-61. doi: 10.1097/EDE.0000000000000121.
PMID: 25000145BACKGROUNDWashburn LK, Nixon PA, Snively BM, et al. Increased blood pressure and the circulating renin-angiotensin system in adolescents born preterm [abstract]. Pediatric Academic Societies. 2013; ePub; doi:
BACKGROUNDKim YM, Cologne JB, Cullings HM. Simple power analysis in causal mediation models for a dichotomous outcome based on the mediation proportion. J Korean Data Inf Sci Soc 2017; 28:669-84
BACKGROUNDJimenez A, Chen A, Lin JJ, South AM. Does MEST-C score predict outcomes in pediatric Henoch-Schonlein purpura nephritis? Pediatr Nephrol. 2019 Dec;34(12):2583-2589. doi: 10.1007/s00467-019-04327-2. Epub 2019 Aug 11.
PMID: 31402405BACKGROUNDPun BT, Balas MC, Barnes-Daly MA, Thompson JL, Aldrich JM, Barr J, Byrum D, Carson SS, Devlin JW, Engel HJ, Esbrook CL, Hargett KD, Harmon L, Hielsberg C, Jackson JC, Kelly TL, Kumar V, Millner L, Morse A, Perme CS, Posa PJ, Puntillo KA, Schweickert WD, Stollings JL, Tan A, D'Agostino McGowan L, Ely EW. Caring for Critically Ill Patients with the ABCDEF Bundle: Results of the ICU Liberation Collaborative in Over 15,000 Adults. Crit Care Med. 2019 Jan;47(1):3-14. doi: 10.1097/CCM.0000000000003482.
PMID: 30339549BACKGROUNDLin DY, Psaty BM, Kronmal RA. Assessing the sensitivity of regression results to unmeasured confounders in observational studies. Biometrics. 1998 Sep;54(3):948-63.
PMID: 9750244BACKGROUNDVanderWeele TJ, Ding P. Sensitivity Analysis in Observational Research: Introducing the E-Value. Ann Intern Med. 2017 Aug 15;167(4):268-274. doi: 10.7326/M16-2607. Epub 2017 Jul 11.
PMID: 28693043BACKGROUNDShatat IF, Abdallah RT, Sas DJ, Hailpern SM. Serum uric acid in U.S. adolescents: distribution and relationship to demographic characteristics and cardiovascular risk factors. Pediatr Res. 2012 Jul;72(1):95-100. doi: 10.1038/pr.2012.47.
PMID: 22465909BACKGROUNDWriting Group for the Division of Cardiovascular Sciences' Strategic Vision Implementation Plan; Goff DC Jr, Buxton DB, Pearson GD, Wei GS, Gosselin TE, Addou EA, Stoney CM, Desvigne-Nickens P, Srinivas PR, Galis ZS, Pratt C, Kit KBK, Maric-Bilkan C, Nicastro HL, Wong RP, Sachdev V, Chen J, Fine L. Implementing the National Heart, Lung, and Blood Institute's Strategic Vision in the Division of Cardiovascular Sciences. Circ Res. 2019 Feb 15;124(4):491-497. doi: 10.1161/CIRCRESAHA.118.314338.
PMID: 31031412BACKGROUND
Biospecimen
Collecting blood, urine, and saliva samples from participants in the Hypertension Cohort and the Control Cohort. Banking sub-samples of blood, urine, and saliva for future analysis, including for omics-based research (genomics, proteomics, etc.)
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Andrew M South, MD, MS
Wake Forest Health Sciences
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 21, 2021
First Posted
February 12, 2021
Study Start
May 19, 2021
Primary Completion (Estimated)
December 1, 2026
Study Completion (Estimated)
December 1, 2026
Last Updated
December 11, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- Beginning 12 months and ending six years following article publication.
- Access Criteria
- Data will be shared with investigators whose proposed use of the data has been approved by an independent review committee identified for this purpose and who provide a methodologically sound proposal. Data will be shared for meta-analysis of individual participant data and/or to achieve aims in the approved proposal.
Individual participant data that underlie the results reported in this article, after de-identification, will be shared with other researchers.