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Canadian Journal of Kidney Health and Disease logoLink to Canadian Journal of Kidney Health and Disease
. 2023 Dec 29;11:20543581231221892. doi: 10.1177/20543581231221892

Periconceptional Serum Creatinine and Risk of Childhood Autism Spectrum Disorder: A Research Letter

Ziv Harel 1,2,, Nivethika Jeyakumar 2,3, Yuguang Kang 2,3, Maria P Velez 2,4, Natalie Dayan 5, Joel G Ray 2,6
PMCID: PMC10757427  PMID: 38161392

Abstract

Background:

Autism spectrum disorder (ASD) is a neurodevelopmental condition that manifests in early childhood, in which the maternal metabolic syndrome may be a risk factor. The kidney is a barometer of maternal metabolic syndrome duration and severity.

Objective:

The main objective of this study is to determine whether periconceptional kidney function is associated with ASD in early childhood.

Design, Setting, and Participants:

This retrospective population-based cohort study was completed in Ontario, Canada. Included were singleton children born in an Ontario hospital between April 2007 and March 2021, who were alive at age 48 months and whose mother had a recorded prepregnancy body mass index (BMI) and a measured serum creatinine (SCr) between 120 days preconception and 28 days postconception.

Measurement:

The main study outcome was a diagnosis of ASD between ages 24 and 48 months.

Methods:

Relative risks (RRs) of ASD in association with periconceptional SCr were generated using modified Poisson regression and adjusted for several confounders.

Results:

The cohort comprised 86 054 women, who had 89 677 liveborn children surviving to at least 48 months of age. There was no significant association between periconceptional SCr and ASD (RR: 0.86; 95 % confidence interval: [0.67, 1.10]).

Limitations:

Selection bias may have arisen had SCr been ordered on clinical grounds.

Conclusions:

Further study is warranted to determine whether prepregnancy glomerular hyperfiltration is a marker of ASD and other behavioral conditions in childhood. To do so, a more accurate measure of hyperfiltration is needed than SCr.

Keywords: autism spectrum disorder, periconceptual kidney function, body mass index

Introduction

Autism spectrum disorder (ASD) is a neurodevelopmental condition that manifests in early childhood, traditionally diagnosed starting at age 24 months. 1 Maternal metabolic syndrome (MetSyn) may be one factor influencing the observed rise in ASD.2,3 The kidney is a barometer of MetSyn duration and severity, 4 manifested by glomerular hyperfiltration and a relative decline in serum creatinine (SCr) in the early phase of MetSyn-related kidney injury. 5 This study determined whether periconceptional kidney function is associated with ASD in early childhood.

Methods

This retrospective population-based cohort study was completed in Ontario, Canada. Hospital birth records are linked to patient-level records across several databases using unique encoded identifiers and analyzed at the Institute for Clinical Evaluative Sciences (ICES). These databases have been previously validated for sociodemographic data, primary diagnoses, laboratory data, and physician billing claims (Supplementary File S1).

Included were singleton children born in an Ontario hospital between April 2007 and March 2021, who were alive at age 48 months (the typical upper age at which ASD is diagnosed), 1 and whose mother had a recorded prepregnancy body mass index (BMI) and a measured SCr between 120 days preconception up to 28 days postconception (the latter preceding any measurable decline in SCr in pregnancy). 6 Exclusion criteria are in Supplementary File S1.

The main study outcome was a diagnosis of ASD between ages 24 and 48 months (the recommended age interval across most of the study period), using a validated algorithm (Supplementary File S1).

Relative risks (RRs) of ASD in association with periconceptional SCr were generated using modified Poisson regression and adjusted for several confounders (Supplementary eTable 1). Three different approaches were taken for handling SCr as an exposure, as outlined in Supplementary eAppendix 1, including the possibility that a relatively low SCr might be present in young women with early glomerular injury due to hyperfiltration related to MetSyn.4,5

Analyses were performed using SAS, version 9.4 (SAS Institute Inc).

Results

The cohort comprised 86 054 women, who had 89 677 liveborn children surviving to at least 48 months of age (Table 1). Mean (SD) maternal age was 30.7 (5.0) years, 54% were multiparous, mean (SD) BMI was 25.7 (6.3) kg/m2, and 3.8% had diabetes or hypertension before pregnancy.

Table 1.

Demographic and Clinical Characteristics of the 89 677 Pregnancies Resulting in Livebirths Among 86 054 Women.

Characteristic
Maternal, at time of conception
Mean (SD) age, years 30.7 (5.0)
Residential income quintile
 1 (lowest) 19 360 (21.6)
 2 17 948 (20.0)
 3 18 753 (20.9)
 4 19 118 (21.3)
 5 (highest) 14 498 (16.2)
Rural residence 6135 (6.8)
Median (IQR) parity 1 (0-1)
Parity ≥ 1 48 339 (53.9)
Mean (SD) prepregnancy body mass index, kg/m2 25.7 (6.3)
Pre-pregnancy body mass index category, kg/m2
 10 to 18.4 4782 (5.3)
 18.5 to 24.9 45 376 (50.6)
 25 to 29.9 21 930 (24.5)
 30 to 49.9 17 054 (19.0)
 50 to ≤60 535 (0.6)
Maternal comorbidities within 1 year prior to conception
Diabetes mellitus 3382 (3.8)
Chronic hypertension 3363 (3.8)
Drug dependence 2439 (2.7)
Systemic lupus erythematosus 1506 (0.7)
Maternal laboratory measures between 120 days prior to conception and up to 28 days after conception
Mean (SD) periconceptional serum creatinine, µmol/L 60.7 (9.7)
Mean (SD) periconceptional eGFR, mL/min 115.1 (12.5)
Newborn measures at birth
Mean (SD) newborn gestational age at birth, weeks 38.8 (1.7)
Mean (SD) newborn weight at birth, grams 335 (544)
Female 43 496 (48.5)

Note. All data are shown as a number (%) unless otherwise indicated. A woman may have contributed more than 1 pregnancy. IQR = interquartile range.

Approach 1 found no significant association between periconceptional SCr and ASD (Table 2). With Approach 2, an SCr < fifth percentile was associated with a higher rate of childhood ASD (2.4%) than SCr between the fifth to 95th percentile (1.8%)—corresponding to an unadjusted RR of 1.31 (95% confidence interval [CI]: [1.06, 1.62]). As expected, within Approach 2, adjusting for prepregnancy diabetes, hypertension and BMI, among other covariates, attenuated that RR (1.23, 95% CI: [1.00, 1.52]) (Table 2). A similar, but nonsignificant trend was seen with Approach 3 (Table 2).

Table 2.

Periconceptional Maternal Serum Creatinine and Associated Risk of Childhood Autism Spectrum Disorder (ASD), Assessed Between Ages 24 and 48 Months.

Serum creatinine measurement a No. (%) with outcome Relative risk (95% CI)
Unadjusted Adjusted b
Approach 1: ≤95th percentile: 78 µmol/L (N = 85 791) 1592 (1.9) 1.00 (referent) 1.00 (referent)
>95th percentile: 78 µmol/L (N = 3886) 63 (1.6) 0.87 (0.68-1.12) 0.86 (0.67-1.10)
Approach 2: <Fifth percentile: 46 µmol/L (N = 3797) 91 (2.4) 1.31 (1.06-1.62) 1.23 (1.00-1.52)
Fifth to 95th percentile: 46-78 µmol/L (N = 81 994) 1501 (1.8) 1.00 (referent) 1.00 (referent)
>95th percentile: 78 µmol/L (N = 3886) 63 (1.6) 0.89 (0.69-1.14) 0.86 (0.67-1.11)
Approach 3: a <65 µmol/L (N = 60 976) 1170 (1.9) 1.12 (1.00-1.25) 1.11 (0.99-1.24)
65-75 µmol/L (N = 22 417) 384 (1.6) 1.00 (referent) 1.00 (referent)
>75 µmol/L (N = 6284) 101 (1.7) 0.94 (0.76-1.17) 0.91 (0.74-1.14)

Note. Shown are 3 different modeling approaches, using different serum creatinine cut points. CI = confidence interval.

a

Cut-points were derived based on inspection of the fractional polynomial curve, as shown in the Supplementary eAppendix.

b

Adjusted for maternal age, residential income quintile, and rural residence—each at the time of conception—as well as pre to pregnancy body mass index, diabetes and chronic hypertension—each within 1 year before the estimated date of conception.

Discussion

Elevated periconceptional maternal SCr was not associated with the development of ASD in childhood, but a low SCr posed a marginally higher risk.

Study strengths included the use of a large, diverse cohort within a universal health care system and the ability to account for some important confounders, such as BMI. The study also has some limitations. First, although often part of the routine annual health exam, selection bias may have arisen had SCr been ordered on clinical grounds. Specifically, of the 193 205 women in the original cohort, 107 151 (55%) were excluded for not having an SCr measurement. Second, the broad window period in which the SCr was measured in relation to the estimated date of conception (EDC), as well as the single SCr measurement necessary to be included in the final cohort may not have been reflective of changes in kidney function that may have occurred at the time of conception. Third, a family or sibling history of ASD was not accounted for herein, nor were other environmental or toxicological factors. Finally, it is plausible that some of the low SCr values may have been associated with malnutrition or low muscle mass, rather than hyperfiltration.

Hyperfiltration and reduced SCr are typical early responses of renal injury in young adults with MetSyn, including women of reproductive age.4,5 Only in later adulthood does SCr begin to rise with ongoing renal injury. 4 It is not surprising that adjusting for prepregnancy diabetes and hypertension attenuated the RR because both are on the causal pathway to glomerular injury. 4

Further study is warranted to determine whether prepregnancy glomerular hyperfiltration is a marker of ASD and other behavioral conditions in childhood. To do so, a more accurate measure of hyperfiltration is needed than SCr.

Supplemental Material

sj-docx-1-cjk-10.1177_20543581231221892 – Supplemental material for Periconceptional Serum Creatinine and Risk of Childhood Autism Spectrum Disorder: A Research Letter

Supplemental material, sj-docx-1-cjk-10.1177_20543581231221892 for Periconceptional Serum Creatinine and Risk of Childhood Autism Spectrum Disorder: A Research Letter by Ziv Harel, Nivethika Jeyakumar, Yuguang Kang, Maria P. Velez, Natalie Dayan and Joel G. Ray in Canadian Journal of Kidney Health and Disease

Footnotes

Acknowledgments/Disclaimer: Parts of this material are based on data and/or information compiled and provided by Ministry of Health (MOH), Canadian Institute for Health Information (CIHI), and BORN Ontario. However, the analyses, conclusions, opinions, and statements expressed in the material are those of the author(s) and not necessarily those of MOH, CIHI, or BORN Ontario. This document used data adapted from the Statistics Canada Postal Code Conversion File, which is based on data licensed from Canada Post Corporation, and/or data adapted from the Ontario Ministry of Health Postal Code Conversion File, which contains data copied under license from ©Canada Post Corporation and Statistics Canada.

Author Contributions: YK had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design and drafting of the manuscript: Z.H. and J.G.R.

Acquisition, analysis, or interpretation of data and critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Kang.

Administrative, technical, or material support: Jeyakumar.

Data Sharing: The data set from this study is held securely in coded form at ICES. While data sharing agreements prohibit ICES from making the dataset publicly available, access may be granted to those who meet prespecified criteria for confidential access, available at www.ices.on.ca/DAS. The full dataset creation plan and underlying analytic code are available from the authors upon request, understanding that the computer programs may rely upon coding templates or macros that are unique to ICES and are therefore either inaccessible or may require modification.

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by ICES, which is funded by an annual grant from the Ontario Ministry of Health (MOH) and Ministry of Long-Term Care (MLTC). Core funding for ICES Western is provided by the Academic Medical Organization of Southwestern Ontario (AMOSO), the Schulich School of Medicine and Dentistry (SSMD), Western University, and the Lawson Health Research Institute (LHRI). The study was also funded by a Biomedical grant from the Kidney Foundation of Canada (KFOC). The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Ethical Considerations: Datasets were linked using unique encoded identifiers and analyzed at ICES. Use of data in this project was authorized under section 45 of Ontario’s Personal Health Information Protection Act, which does not require review by a research ethics board

Supplemental Material: Supplemental material for this article is available online.

References

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

sj-docx-1-cjk-10.1177_20543581231221892 – Supplemental material for Periconceptional Serum Creatinine and Risk of Childhood Autism Spectrum Disorder: A Research Letter

Supplemental material, sj-docx-1-cjk-10.1177_20543581231221892 for Periconceptional Serum Creatinine and Risk of Childhood Autism Spectrum Disorder: A Research Letter by Ziv Harel, Nivethika Jeyakumar, Yuguang Kang, Maria P. Velez, Natalie Dayan and Joel G. Ray in Canadian Journal of Kidney Health and Disease


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