Literature DB >> 29288189

The renal parenchyma-evaluation of a novel ultrasound measurement to assess fetal renal development: protocol for an observational longitudinal study.

Sonja Brennan1,2, Michal Schneider3, David Watson2,4, Yogavijayan Kandasamy2,5,6, Donna Rudd2.   

Abstract

INTRODUCTION: Disorders of fetal growth, such as intrauterine growth restriction (IUGR) and large for gestational age (LGA), have been found to have a profound effect on the development of the fetal kidney. Abnormal kidney development is associated with hypertension and chronic kidney disease later in life. This study will use a novel ultrasound measurement to assess the renal parenchymal growth and kidney arterial blood flow in the fetus to evaluate the development of the fetal kidneys and provide an indirect estimate of nephron number. Measurements in normally grown, IUGR and LGA fetuses will be compared to determine if changes in renal parenchymal growth can be detected in utero. METHODS AND ANALYSIS: This longitudinal, prospective, observational study will be conducted over 12 months in the Ultrasound Department of the Townsville Hospital, Australia. The study will compare fetal renal parenchymal thickness (RPT) and renal artery Doppler flow between IUGR fetuses and appropriately grown fetuses, and LGA fetuses and appropriately grown fetuses between 16 and 40 weeks. The fetal RPT to renal volume ratio will also be compared, and correlations between RPT, renal parenchymal echogenicity, fetal Doppler indices and amniotic fluid levels will be analysed. ETHICS AND DISSEMINATION: This study was approved by the Townsville Health District Human Research Ethics Committee. The study results will form part of a thesis and will be published in peer-reviewed journals and disseminated at international conferences. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  fetal kidney; obstetric ultrasonography; renal; renal artery doppler; renal parenchyma; ultrasound

Mesh:

Year:  2017        PMID: 29288189      PMCID: PMC5770966          DOI: 10.1136/bmjopen-2017-019369

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This will be the first study to use a novel ultrasound measurement of the fetal renal parenchyma and measurements of renal blood flow to assess fetal kidney growth. Fetal kidney growth will be assessed not only in normally grown but also in growth-restricted and large-for-gestational-age fetuses. This is a prospective, longitudinal, rather than cross-sectional, ultrasound study and should enhance our understanding of how fetal kidneys grow. This study is the first of a series of studies investigating kidney growth, and although renal function and renal parenchymal thickness of the infants are not included in this study, follow-up of the infants will be included in future studies. Due to fetal position and/or maternal habitus, not all kidney measurements may be obtainable at every scan.

Introduction

Chronic kidney disease is an increasing contributor to the global burden of disease, with hypertension now the leading risk factor.1 Recognition of the risk factors and implementation of preventive strategies is crucial to reducing hypertension and kidney disease. Abnormalities in fetal growth, such as intrauterine growth restriction (IUGR), have a profound effect on the kidney development.2 3 The association between an adverse intrauterine environment and chronic kidney disease later in life is now compelling.4–6 During early fetal life, there is transient development and regression of the primary (pronephros) and secondary (mesonephros) fetal kidneys between day 23 and day 112 of embryonic life.7 The permanent functional tertiary fetal kidney is the metanephros which begins developing on day 30.7 Nephrogenesis involves the formation of the functional units of the kidney called nephrons and continues up to 36 weeks’ gestational age.8 9 It is essential that appropriate nephrogenesis is achieved in utero as the number and quality of nephrons directly influences lifetime kidney function.10 IUGR can result in a significant reduction in nephron number; however, large for gestational age (LGA), particularly related to maternal hyperglycaemia, is also associated with abnormal fetal kidney development and an increased risk of hypertension and chronic kidney disease.11 A better understanding of the relationship between abnormal fetal growth and nephrogenesis is needed. Presently, the only accurate method of calculating human nephron number is during an autopsy.12 A non-invasive measure of nephron endowment is needed. Ultrasound is the primary imaging modality for evaluating fetal kidneys. We conducted a systematic review on the evaluation of fetal kidney growth using ultrasound which revealed that there are few good-quality, longitudinal studies.13 The most commonly reported ultrasound measurement was renal length; however, renal length alone was not found to be very sensitive to evaluate disruptions in fetal kidney growth in the presence of fetal growth restriction.13 Few studies analysed the effects of IUGR on fetal kidney growth, and no studies have, to date, analysed if LGA has an effect on fetal kidney growth. Results from two-dimensional (2D) and three-dimensional (3D) renal volume (RV) calculations were disappointing. Volumes calculated from 2D measurements underestimate RVs by as much as 24%.14 Substantial variations were reported for ‘normal’ 3D kidney volumes, and good reliability and reproducibility has not yet been demonstrated. Currently, there is no easily repeatable, sensitive method of measuring changes in fetal kidney growth.13 Measuring the renal parenchyma with ultrasound is a novel method to assess fetal kidney development and predict future renal function. Measuring just the renal parenchyma will measure only the important functional part of the kidney which contains the nephrons (figure 1). One small cross-sectional study measured fetal renal parenchyma in normally grown fetuses15; however, no studies have evaluated the fetal renal parenchyma in abnormally grown fetuses. Preliminary data from term neonates16 and children17 indicate that the parenchymal thickness may be a more reliable investigative method to define normal and abnormal kidney development. Methods such as measuring the parenchymal thickness, RV to parenchymal thickness ratio, renal artery Dopplers and echogenicity of the renal parenchyma are potential non-invasive methods to evaluate nephron endowment and future renal function.
Figure 1

Measurement of kidney length (1) and the anterior (2) and posterior (3) fetal renal parenchymal thickness from the inner aspect of the renal capsule to the sinus–pyramidal apex interface.

Measurement of kidney length (1) and the anterior (2) and posterior (3) fetal renal parenchymal thickness from the inner aspect of the renal capsule to the sinus–pyramidal apex interface. The aim of this study is to use ultrasound to assess the fetal renal parenchymal growth in a pregnant population demonstrating either normal or abnormal growth and determine if abnormal fetal growth influences fetal renal parenchymal thickness (RPT). Non-invasive ultrasound techniques are used. The results could help identify factors that adversely affect kidney development so that they could be modified by public health interventions and education programmes. This may promote improved fetal nephron number and quality at birth and reduce susceptibility to chronic disease in later life.

Methods and analysis

Objectives

Primary objectives Determine normal RPT of fetuses from 16 to 40 weeks’ gestation from a group of normally grown fetuses. Determine the effects of IUGR and LGA on RPT in a group of abnormally grown fetuses. Secondary objectives Assess the relationship between RPT and renal artery, umbilical artery and middle cerebral artery Doppler indices, and amniotic fluid levels. Assess the relationship between renal parenchymal echogenicity, renal artery Doppler flow and IUGR or LGA.

Study design and setting

This is a prospective, longitudinal, observational study being conducted over 12 months, commencing in May 2017, in the Ultrasound Department of the Townsville Hospital, Australia.

Participants

Patients who are referred for a diagnostic second trimester ultrasound scan will be recruited for this study. Pregnant women of 18 years or older, with an accurately dated singleton pregnancy of 16 weeks’ gestation or more, will be included. Pregnant women with uncertain dates, multiple pregnancy or any known major congenital fetal abnormality or chromosomal fetal abnormality will be excluded.

Recruitment and consent of participants

Pregnant patients 18 years of age or older, who present to the Medical Imaging Department at the Townsville Hospital for an obstetric ultrasound, will be invited to participate. In addition, mixed risk patients may also be informed about the study by their treating obstetrician, midwife or sonographer. Detailed written information will be given to the patient and written consent obtained.

Study process

Figure 2 outlines the flow schedule of the participants. The first ultrasound scan will be performed from 16 weeks and then follow-up ultrasounds will be performed at least every 4 weeks from the first ultrasound scan. Some women, particularly with high-risk pregnancies, will require more than one clinically indicated ultrasound. For example, women with a growth-restricted fetus may need to be monitored by ultrasound monthly or more frequently. However, the control group of healthy women, with appropriately grown fetuses, may only require one to two clinically indicated scans between 16 and 40 weeks’ gestation. To obtain good longitudinal data, particularly for the control group, the women will be asked to attend for additional research scans every 4 weeks until delivery.
Figure 2

Flow chart of study participants.

Flow chart of study participants.

Ultrasound examinations

Australian Accredited Medical Sonographers with at least 2 years’ postultrasound qualification experience will perform all ultrasound examinations. A high-level ultrasound machine with pulse wave and colour Doppler flow will be used, and the highest frequency transducer possible, matching the mother’s body habitus, will be selected. When a woman attends for a clinically indicated scan, this will be the priority, and then the additional fetal renal measurements required for the research study will be performed thereafter. Where possible, the fetal kidneys should be measured with the fetal spine up (anterior) or as close as possible to this position. The image is magnified so that the kidney occupies most of the image and both kidneys can be identified. A midsagittal scan of both kidneys along their longest length will be recorded and the longest length (L) of both kidneys measured. The parenchymal thickness will be measured in two directions: from the posterior aspect of the kidney to the pelvis (posterior parenchyma) and from the anterior border of the kidney to the pelvis (anterior parenchyma) (figure 1). A transverse section of the fetal abdomen at the level of each renal pelvis will be imaged. The maximum anteroposterior diameter (H) and transverse diameter (W) will be measured for both kidneys. Bilateral fetal renal artery Dopplers will be performed in the coronal view of the kidneys. Colour flow should be used to identify the renal artery entering the kidney. A low wall filter of between 30 and 60 Hz will be used, and a sample gate of size 2–3 mm will be placed in the mid trunk of the renal artery. Using an angle as close to 0° as possible, a pulse wave signal will be obtained. The average of three consecutive waveforms will be used to calculate the resistivity index (RI) and pulsatility index (PI). The following routinely performed obstetric measurements will also be recorded for the study: Single deepest pool amniotic fluid measurement; Umbilical artery Doppler; Middle cerebral artery Doppler (where clinically indicated or 30 weeks’ gestation and over); Ductus venous, where clinically indicated; Biometries—head circumference (HC), biparietal diameter (BPD), abdominal circumference (AC), femur length (FL).

Birth data

Outcome measures

Perinatal data will be collected from the mother and baby’s electronic medical record (table 1).
Table 1

After baby’s birth, perinatal data to be collected from the mother and baby’s electronic medical record

Birth data to be collected
Onset of labourGestational age at birthAntenatal steroids
Mode of deliveryBirth weightOther antenatal medications
Placental histopathologyGenderMaternal medical history:
Apgar scores at 1 and 5 min

Diabetes

Umbilical artery cord potential hydrogen (pH)

Renal disease

Base excess

Hypertension

LactateDemographic, medical and obstetric history from participant questionnaire
After baby’s birth, perinatal data to be collected from the mother and baby’s electronic medical record Diabetes Renal disease Hypertension Primary outcome measure RPT: anterior and posterior thickness in longitudinal plane. Secondary outcome measures RV: calculated using the formula RV=length×width×height×0.523; Fetal growth biometries: HC, BPD, AC and FL; Amniotic fluid: single deepest pool; Umbilical artery Doppler flow: RI and PI calculated from the average of at least three consecutive waveforms; Middle cerebral artery Doppler flow: RI and PI calculated from the average of at least three consecutive waveforms; Renal parenchymal echogenicity: subjectively assessed by the sonographer as either normal echogenicity, more hyperechoic than normal or more hypoechoic than normal; Renal artery Doppler flow: RI and PI calculated from the average of at least three consecutive waveforms.

Sample size

Optimal sample size has been calculated based on a statistical power of 80% and a significance level of 0.05 (two-tailed). Data from a previously published study16 have demonstrated that the RPT was 9.4 mm (±1.1 mm) for normal birth weight neonates and 8.3 mm (±1.0 mm) for low birth weight neonates at term. Therefore, it is estimated that a sample size of 45 will be needed (15 intrauterine growth-restricted fetuses, 15 LGA fetuses and 15 appropriate for gestational age (AGA)). Allowing for the possibility of loss to follow-up, 20 participants will be recruited for each group resulting in a total of 60 participants, each having an ultrasound scan every 4 weeks.

Data analysis

After the ultrasound examination is complete, and the baby is born, all data will be collated and divided into three groups: AGA, IUGR and LGA. Comparisons of RPT and renal artery Dopplers between IUGR and AGA fetuses, and LGA and AGA fetuses between 16 and 40 weeks will be analysed. RV will be compared with RPT in each fetal group to obtain an RPT to RV ratio. Correlation between RPT, renal parenchymal echogenicity, fetal Doppler indices and amniotic fluid levels will be carried out, and intraobserver and interobserver variability will be assessed. Statistical analysis will be performed using IBM SPSS Statistics, V.24.0. The normality of the variables will be determined by the Kolmogorov-Smirnov test. Renal measurements will be expressed as means±SDs for continuous, normally distributed data and as a median (IQR) for continuous, non-normally distributed data. Paired/unpaired t-tests will be used to compare means of normally distributed data and Mann-Whitney or Kruskal-Wallis tests for non-normally distributed data. A value of P<0.05 will be considered statistically significant. Univariate and multivariate analysis will be carried out to determine the association between RPT and other variables. Intraobserver variability will be determined by calculating the differences between the two measurements made by the same sonographer. Interobserver variability will be assessed by calculating the differences between two measurements carried out on the same patient by different sonographers.

Data management

Data collection commenced in May 2017 and is planned to finish in December 2018 once the birth data of all participants are obtained. Participant data will be deidentified and assigned a number code to ensure confidentiality for each woman and baby. Electronic data will be stored and saved on a password-protected computer. Hard (paper) copies of the consent form, questionnaire and data sheets from the ultrasound examination will be stored in a locked filing cabinet in the principal researcher’s office. This office is a secure room within the ultrasound department of the Townsville Hospital. Only the principal researcher and members of the research team will have access to the data.
  15 in total

1.  Sonographic evaluation of kidney parenchymal growth in the fetus.

Authors:  Eran Hadar; Miriam Davidovits; Reuven Mashiach; David Vardimon; Ron Bardin; Zeev Efrat; David Danon; Sharon Roth; Israel Meizner
Journal:  Arch Gynecol Obstet       Date:  2012-05-24       Impact factor: 2.344

2.  Developmental origins of renal disease: should nephron protection begin at birth?

Authors:  Susan P Bagby
Journal:  Clin J Am Soc Nephrol       Date:  2009-01-07       Impact factor: 8.237

3.  The effect of intrauterine growth retardation on the development of renal nephrons.

Authors:  S A Hinchliffe; M R Lynch; P H Sargent; C V Howard; D Van Velzen
Journal:  Br J Obstet Gynaecol       Date:  1992-04

Review 4.  Early organogenesis of the kidney.

Authors:  L Saxén; H Sariola
Journal:  Pediatr Nephrol       Date:  1987-07       Impact factor: 3.714

Review 5.  Evaluation of fetal kidney growth using ultrasound: A systematic review.

Authors:  Sonja Brennan; David Watson; Donna Rudd; Michal Schneider; Yogavijayan Kandasamy
Journal:  Eur J Radiol       Date:  2017-09-23       Impact factor: 3.528

Review 6.  Nutrition and kidney in preterm infant.

Authors:  Mario De Curtis; Jacques Rigo
Journal:  J Matern Fetal Neonatal Med       Date:  2012-03-06

7.  Human intrauterine renal growth expressed in absolute number of glomeruli assessed by the disector method and Cavalieri principle.

Authors:  S A Hinchliffe; P H Sargent; C V Howard; Y F Chan; D van Velzen
Journal:  Lab Invest       Date:  1991-06       Impact factor: 5.662

8.  Relationship between weight at birth and the number and size of renal glomeruli in humans: a histomorphometric study.

Authors:  R Mañalich; L Reyes; M Herrera; C Melendi; I Fundora
Journal:  Kidney Int       Date:  2000-08       Impact factor: 10.612

9.  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.

Authors:  Stephen S Lim; Theo Vos; Abraham D Flaxman; Goodarz Danaei; Kenji Shibuya; Heather Adair-Rohani; Markus Amann; H Ross Anderson; Kathryn G Andrews; Martin Aryee; Charles Atkinson; Loraine J Bacchus; Adil N Bahalim; Kalpana Balakrishnan; John Balmes; Suzanne Barker-Collo; Amanda Baxter; Michelle L Bell; Jed D Blore; Fiona Blyth; Carissa Bonner; Guilherme Borges; Rupert Bourne; Michel Boussinesq; Michael Brauer; Peter Brooks; Nigel G Bruce; Bert Brunekreef; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Fiona Bull; Richard T Burnett; Tim E Byers; Bianca Calabria; Jonathan Carapetis; Emily Carnahan; Zoe Chafe; Fiona Charlson; Honglei Chen; Jian Shen Chen; Andrew Tai-Ann Cheng; Jennifer Christine Child; Aaron Cohen; K Ellicott Colson; Benjamin C Cowie; Sarah Darby; Susan Darling; Adrian Davis; Louisa Degenhardt; Frank Dentener; Don C Des Jarlais; Karen Devries; Mukesh Dherani; Eric L Ding; E Ray Dorsey; Tim Driscoll; Karen Edmond; Suad Eltahir Ali; Rebecca E Engell; Patricia J Erwin; Saman Fahimi; Gail Falder; Farshad Farzadfar; Alize Ferrari; Mariel M Finucane; Seth Flaxman; Francis Gerry R Fowkes; Greg Freedman; Michael K Freeman; Emmanuela Gakidou; Santu Ghosh; Edward Giovannucci; Gerhard Gmel; Kathryn Graham; Rebecca Grainger; Bridget Grant; David Gunnell; Hialy R Gutierrez; Wayne Hall; Hans W Hoek; Anthony Hogan; H Dean Hosgood; Damian Hoy; Howard Hu; Bryan J Hubbell; Sally J Hutchings; Sydney E Ibeanusi; Gemma L Jacklyn; Rashmi Jasrasaria; Jost B Jonas; Haidong Kan; John A Kanis; Nicholas Kassebaum; Norito Kawakami; Young-Ho Khang; Shahab Khatibzadeh; Jon-Paul Khoo; Cindy Kok; Francine Laden; Ratilal Lalloo; Qing Lan; Tim Lathlean; Janet L Leasher; James Leigh; Yang Li; John Kent Lin; Steven E Lipshultz; Stephanie London; Rafael Lozano; Yuan Lu; Joelle Mak; Reza Malekzadeh; Leslie Mallinger; Wagner Marcenes; Lyn March; Robin Marks; Randall Martin; Paul McGale; John McGrath; Sumi Mehta; George A Mensah; Tony R Merriman; Renata Micha; Catherine Michaud; Vinod Mishra; Khayriyyah Mohd Hanafiah; Ali A Mokdad; Lidia Morawska; Dariush Mozaffarian; Tasha Murphy; Mohsen Naghavi; Bruce Neal; Paul K Nelson; Joan Miquel Nolla; Rosana Norman; Casey Olives; Saad B Omer; Jessica Orchard; Richard Osborne; Bart Ostro; Andrew Page; Kiran D Pandey; Charles D H Parry; Erin Passmore; Jayadeep Patra; Neil Pearce; Pamela M Pelizzari; Max Petzold; Michael R Phillips; Dan Pope; C Arden Pope; John Powles; Mayuree Rao; Homie Razavi; Eva A Rehfuess; Jürgen T Rehm; Beate Ritz; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Jose A Rodriguez-Portales; Isabelle Romieu; Robin Room; Lisa C Rosenfeld; Ananya Roy; Lesley Rushton; Joshua A Salomon; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; Amir Sapkota; Soraya Seedat; Peilin Shi; Kevin Shield; Rupak Shivakoti; Gitanjali M Singh; David A Sleet; Emma Smith; Kirk R Smith; Nicolas J C Stapelberg; Kyle Steenland; Heidi Stöckl; Lars Jacob Stovner; Kurt Straif; Lahn Straney; George D Thurston; Jimmy H Tran; Rita Van Dingenen; Aaron van Donkelaar; J Lennert Veerman; Lakshmi Vijayakumar; Robert Weintraub; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Warwick Williams; Nicholas Wilson; Anthony D Woolf; Paul Yip; Jan M Zielinski; Alan D Lopez; Christopher J L Murray; Majid Ezzati; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

Review 10.  Effect of fetal and child health on kidney development and long-term risk of hypertension and kidney disease.

Authors:  Valerie A Luyckx; John F Bertram; Barry M Brenner; Caroline Fall; Wendy E Hoy; Susan E Ozanne; Bjorn E Vikse
Journal:  Lancet       Date:  2013-05-31       Impact factor: 79.321

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