Risk factors associated with congenital hypothyroidism: a case-control study in southeast Iran

Neuropsychological and physical development of patients diagnosed with congenital hypothyroidism at the San Ignacio University Hospital between 2001 and 2017

Introduction: Congenital hypothyroidism is the leading cause of preventable cognitive disability in the world. Therefore, screening programs have been developed in order to reduce the neurological sequelae associated with this pathology. Objective: To describe the demographic characteristics, the treatment, and the follow-up of patients diagnosed with congenital hypothyroidism in the screening program at the San Ignacio University Hospital in Bogotá, Colombia. Materials and methods: We conducted an observational cross-sectional study. The study population was patients diagnosed with congenital hypothyroidism at the Hospital between 2001 and 2017. Results: Fourteen of the 19 patients diagnosed with congenital hypothyroidism in the hospital screening program were contacted. All of the patients had schooling, most of them had adequate weight and height, and two had short stature. In most of them, the etiological diagnosis was thyroid hypoplasia, and all began the treatment and follow-up in an adequate way. The most frequent alteration in the neuropsychological tests was in the memory domain and the level of maternal education could be related to an abnormal result in the domain of language. Conclusion: In our study, alterations in the memory tests were the most prevalent; however, due to the design and type of study, more research is required to establish associations. A low frequency of abnormal growth and puberty was found.

Physical and mental growth and development in children with congenital hypothyroidism: a case-control study

Introduction

The clinical complications of congenital hypothyroidism such as brain disorders are very subtle and are not recognizable in infancy period. They are recognizable when it is too late for treatment or prevention. General screening of newborns is effective in diagnosing congenital hypothyroidism and initiating initial treatment. The aim of this study is to compare the physical and mental growth pattern of children with congenital hypothyroidism with healthy ones.

Methods

This case–control study was performed on 34 patients and 68 healthy children who were matched in terms of inclusion and exclusion criteria. Children development screening test (ASQ), children development assessment test (Bayley), preschool Wechsler intelligence scale (WPPSI) and age and steps questionnaire of emotional social development (ASQ-SE) were completed by trained questioners. Data were analyzed using STATA software.

Results

The results indicated that there was no significant difference between the mean of verbal (P = 0.77), non-verbal (P = 0.81) and general (P = 0.66) IQ in permanent and transient patients and healthy individuals. Also, there was no significant difference between the mean of different ranges of ASQ test (including communication, delicate and large movements, problem solving and social) at 12 months and 42 months (P < 0.05). According to Bayley test, there was no significant difference between the cases (permanent and transient) and controls in the cognitive (P = 0.42) and expressive (P = 0.38) categories. The difference was significant in the perceptual (P = 0.011), large (P = 0.03) and delicate (P = 0.04) movements categories.

Conclusion

This study emphasized on the high effectiveness of neonate hypothyroidism screening program, so that the difference between 3.5 years old children with and without this disease has decreased significantly. Early diagnosis of the patients, while creating beneficial effects for patients and increasing quality of life, cause reduction in the long-term costs of the health system.

Mapping the Relative Risk of Congenital Hypothyroidism Incidence via Spatial Zero-Inflated Poisson Model in Guilan Province, Iran

Background:

Congenital hypothyroidism (CH) is one of the most prevalent preventable causes of mental retardation. Studies show that the incidence rate of CH is very high in Iran. Disease mapping is a tool for visually expressing the frequency, incidence, or relative risk of illness. The present study aimed to model CH counts considering the effects of the neighborhood in towns and perform mapping based on the relative risk.

Methods:

In this historical cohort study, data of all neonates diagnosed with CH with TSH level ≥5 mIU/L between March 21, 2017, and March 20, 2018, in health centers in Guilan, Iran were used. The number of neonates with CH was zero in most towns of Guilan Province. The Bayesian spatial zero-inflated Poisson (ZIP) regression model was employed to investigate the effect of the town's neighborhood on the relative risk of CH incidence. Then, the map of the posterior mean of the relative risk for CH incidence was provided. The analysis was performed using OpenBUGS and Arc GIS software programs.

Results:

The relative risk of CH incidence was high in the West of Guilan. Moreover, the goodness-of-fit criterion indicated that it is more appropriate to fit the Bayesian spatial ZIP model to these data than the common model.

Conclusions:

Considering the high relative risk of CH in the Western towns of Guilan Province, it is better to check important risk factors in this region.

Risk factors for transient and permanent congenital hypothyroidism: a population-based case-control study

Background

Congenital hypothyroidism (CH) is the most important cause of mental and physical retardation in newborns. The prevalence of CH has been reported high in East Azerbaijan province of Iran. However, the risk factors for CH are poorly understood. This study aimed to determine and compare risk factors for permanent and transient CH in East Azerbaijan, Iran.

Methods

A case-control study was conducted in the Iranian national screening program for CH. This study included 680 neonates: 340 neonates with confirmed CH and 340 matched healthy controls born at the same period and from the same residential area as the cases. Multiple logistic regression analyses were used to estimate the crude and adjusted odds ratios and 95% confidence intervals for the association between different risk factors and transient and permanent CH.

Results

Out of the 680 participants, 364 (53.53%) were male. Family history of CH (OR = 5.09, 95% CI: 1.66–15.63), neonatal jaundice (OR = 3.89, 95% CI: 2.36–6.43) and parental consanguineous relation (OR = 2.19, 95% CI: 1.51–3.17) were associated with an increased risk of permanent CH. Likewise, the use of Betadine in pregnancy (OR = 4.87, 95% CI: 1.45–16.28), family history of CH (OR = 5.98, 95% CI: 2.04–17.48), neonatal jaundice (OR = 2.81, 95% CI: 1.75–4.52), parental consanguineous relation (OR = 3.86, 95% CI: 1.92–5.74), and gestational age at birth (OR = 3.2, 95% CI: 1.90–5.41) were identified as risk factors for transient CH.

Conclusion

Family history, neonatal jaundice, gestational age at birth, and Betadine usage in pregnancy are associated with CH.

[Risk factors for neonatal congenital hypothyroidism: a Meta analysis]

OBJECTIVE

To investigate the risk factors for congenital hypothyroidism (CH) in neonates, and to provide a reference for the prevention of CH.

METHODS

The databases including China Biomedical Literature Service System, China National Knowledge Infrastructure, Wanfang Data, and Weipu Periodical Database, PubMed, Web of Science, Embase, SpringerLink, and Elsevier/ScienceDirect were searched for studies on the risk factors for CH in neonates published up to August 1, 2020. R 3.6.2 and RevMan 5.3 software were used to perform a Meta analysis.

RESULTS

A total of 20 studies were included, with 13 case-control studies and 7 cross-sectional studies. There were 11 564 neonates in total, with 3 579 neonates in the case group and 7 985 neonates in the control group. The Meta analysis showed that advanced maternal age (OR=2.111, 95%CI: 1.275-3.493), thyroid disease during pregnancy (OR=3.365, 95%CI: 1.743-6.500), gestational diabetes mellitus (OR=2.158, 95%CI: 1.545-3.015), anxiety (OR=3.375, 95%CI: 2.133-5.340), medication during pregnancy (OR=2.774, 95%CI: 1.344-5.725), radiation exposure during pregnancy (OR=3.262, 95%CI: 1.950-5.455), family history of thyroid disease (OR=8.706, 95%CI: 5.991-12.653), low birth weight (OR=2.674, 95%CI: 1.895-3.772), fetal macrosomia (OR=1.657, 95%CI: 1.187-2.315), preterm birth (OR=2.567, 95%CI: 2.070-3.183), post-term birth (OR=2.083, 95%CI: 1.404-3.091), twin pregnancy or multiple birth (OR=3.455, 95%CI: 1.958-6.096), and birth defects (OR=6.038, 95%CI: 3.827-9.525) were risk factors for CH in neonates.

CONCLUSIONS

Advanced maternal age, gestational thyroid disease, gestational diabetes mellitus, anxiety, medication during pregnancy, radiation exposure during pregnancy, family history of thyroid disease, low birth weight, fetal macrosomia, preterm birth, post-term birth, twin pregnancy or multiple pregnancy, and birth defects may increase the risk of CH in neonates.

[Risk factors for neonatal congenital hypothyroidism: a Meta analysis]

OBJECTIVE

To investigate the risk factors for congenital hypothyroidism (CH) in neonates, and to provide a reference for the prevention of CH.

METHODS

The databases including China Biomedical Literature Service System, China National Knowledge Infrastructure, Wanfang Data, and Weipu Periodical Database, PubMed, Web of Science, Embase, SpringerLink, and Elsevier/ScienceDirect were searched for studies on the risk factors for CH in neonates published up to August 1, 2020. R 3.6.2 and RevMan 5.3 software were used to perform a Meta analysis.

RESULTS

A total of 20 studies were included, with 13 case-control studies and 7 cross-sectional studies. There were 11 564 neonates in total, with 3 579 neonates in the case group and 7 985 neonates in the control group. The Meta analysis showed that advanced maternal age (OR=2.111, 95%CI: 1.275-3.493), thyroid disease during pregnancy (OR=3.365, 95%CI: 1.743-6.500), gestational diabetes mellitus (OR=2.158, 95%CI: 1.545-3.015), anxiety (OR=3.375, 95%CI: 2.133-5.340), medication during pregnancy (OR=2.774, 95%CI: 1.344-5.725), radiation exposure during pregnancy (OR=3.262, 95%CI: 1.950-5.455), family history of thyroid disease (OR=8.706, 95%CI: 5.991-12.653), low birth weight (OR=2.674, 95%CI: 1.895-3.772), fetal macrosomia (OR=1.657, 95%CI: 1.187-2.315), preterm birth (OR=2.567, 95%CI: 2.070-3.183), post-term birth (OR=2.083, 95%CI: 1.404-3.091), twin pregnancy or multiple birth (OR=3.455, 95%CI: 1.958-6.096), and birth defects (OR=6.038, 95%CI: 3.827-9.525) were risk factors for CH in neonates.

CONCLUSIONS

Advanced maternal age, gestational thyroid disease, gestational diabetes mellitus, anxiety, medication during pregnancy, radiation exposure during pregnancy, family history of thyroid disease, low birth weight, fetal macrosomia, preterm birth, post-term birth, twin pregnancy or multiple pregnancy, and birth defects may increase the risk of CH in neonates.

Maternal exposure to PM2.5 may increase the risk of congenital hypothyroidism in the offspring: a national database based study in China

Background

Maternal exposure to air pollution is related to fetal dysplasia. However, the association between maternal exposure to air pollution and the risk of congenital hypothyroidism (CH) in the offspring is largely unknown.

Methods

We conducted a national database based study in China to explore the association between these two parameters. The incidence of CH was collected from October 1, 2014 to October 1, 2015 from the Chinese Maternal and Child Health Surveillance Network. Considering that total period of pregnancy and consequently the total period of particle exposure is approximately 10 months, average exposure levels of PM_2.5, PM₁₀ and Air Quality Index (AQI) were collected from January 1, 2014 to January 1, 2015. Generalized additive model was used to evaluate the association between air pollution and the incidence of CH, and constructing receiver operating characteristic (ROC) curve was used to calculate the cut-off value.

Results

The overall incidence of CH was 4.31 per 10,000 screened newborns in China from October 1, 2014 to October 1, 2015. For every increase of 1 μg/m³ in the PM_2.5 exposure during gestation could increase the risk of CH (adjusted OR = 1.016 per 1 μg/m³ change, 95% CI, 1.001–1.031). But no significant associations were found with regard to PM₁₀ (adjusted OR = 1.009, 95% CI, 0.996–1.018) or AQI (adjusted OR = 1.012, 95% CI,0.998–1.026) and the risk of CH in the offspring. The cut-off value of prenatal PM_2.5 exposure for predicting the risk of CH in the offspring was 61.165 μg/m³.

Conclusions

The present study suggested that maternal exposure to PM_2.5 may exhibit a positive association with increased risk of CH in the offspring. We also proposed a cut-off value of PM_2.5 exposure that might determine reduction in the risk of CH in the offspring in highly polluted areas.