The association between maternal infection and intellectual disability in children: A systematic review and meta-analysis

• Published in: PloS one Vol. 18; no. 10; p. e0292226
• Main Authors: Rezaeinejad, Mahroo, Riahi, Seyed Mohammad, Moghadam, Kimia Behzad, Tadi, Mehrdad Jafari, Geraili, Zahra, Parsa, Hamid, Marhoommirzabak, Elika, Nourollahpour Shiadeh, Malihe, Khatir, Ali Alizadeh
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 05.10.2023; Public Library of Science (PLoS)
• Subjects: Analysis; Chi-square test; Children; Citation management software; Criteria; Diagnosis; Diagnostic systems; Diseases; Epidemiology; Health care; Heterogeneity; Infection; Infections; Intellectual disabilities; Longitudinal studies; Medical diagnosis; Medical ethics; Medical libraries; Medical research; Medicine and Health Sciences; Medicine, Experimental; Mental retardation; Meta-analysis; Observational studies; Physical Sciences; Pregnancy; Pregnancy, Complications of; Prevalence studies (Epidemiology); Quality assessment; Research and Analysis Methods; Risk; Risk factors; Science Policy; Sensitivity analysis; Statistical analysis; Subgroups; Systematic review; Iran
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0292226

There is arguing evidence regarding the association between maternal infections during pregnancy and the risk of intellectual disability (ID) in children. This systematic review and meta-analysis are essential to determine and address inconsistent findings between maternal infections during pregnancy and the risk of ID in children. The MOOSE and PRISMA guidelines were followed to perform and report on this study. The Medline/PubMed, Web of Science, Embase, and Scopus databases were searched from inception up to March 15, 2023, to identify potentially eligible studies. Inclusion and exclusion criteria were applied, as well as the Newcastle-Ottawa Scale was used to assess the methodological quality of studies included. The included studies were divided into two types based on the participants: (1) ID-based studies, which involved children with ID as cases and healthy children as controls and evaluated maternal infection in these participants; (2) infection-based studies, which assessed the prevalence or incidence of ID in the follow-up of children with or without exposure to maternal infection. We used Random-effects models (REM) to estimate the overall pooled odds ratio (OR) and 95% confidence intervals (CIs). The between-studies heterogeneity was assessed with the X.sup.2 -based Q-test and I.sup.2 statistic. Subgroup and sensitivity analyses were applied to explore the source of heterogeneity and results consistency. A total of eight studies including 1,375,662 participants (60,479 cases and 1,315,183 controls) met the eligibility criteria. The REM found that maternal infection significantly increased the risk of ID in children (OR, 1.33; 95% CI, 1.21-1.46; I.sup.2 = 64.6). Subgroup analysis showed a significant association for both infection-based (OR, 1.27; 95%CI, 1.15-1.40; I.sup.2 = 51.2) and ID-based (OR, 1.44; 95%CI, 1.19-1.74; I.sup.2 = 77.1) studies. Furthermore, subgroup analysis based on diagnostic criteria revealed a significant association when maternal infection or ID were diagnosed using ICD codes (OR, 1.33; 95% CI, 1.20-1.48; I.sup.2 = 75.8). Our study suggests that maternal infection during pregnancy could be associated with an increased risk of ID in children. This finding is consistent across different types of studies and diagnostic criteria. However, due to the heterogeneity and limitations of the included studies, we recommend further longitudinal studies to confirm the causal relationship and the underlying mechanisms.