Associations between antenatal and perinatal risk factors and cerebral palsy: a Swedish cohort study

Risk factors for cerebral palsy in children in Taiwan

AIM

To determine the significant risk factors of cerebral palsy (CP) in Taiwanese children and the associations between infant-related and parent-related factors.

METHOD

Data from 1 459 093 infants and their parents in Taiwan's national databases collected between 2009 and 2016 were used. The cohort with CP included children diagnosed with CP between birth and age 3 years; a total of 3254 children with CP were included in the final analysis. Hierarchical logistic regression models were used to estimate the odds ratio for the risk factors of CP.

RESULTS

The hierarchical logistic regression models indicated that significant risk factors associated with CP are suburban location, low income, maternal and paternal diabetes mellitus, paternal substance abuse, paternal seizure disorder, male sex, birth by Cesarean section, singleton birth, low birthweight, being born extremely and very preterm, intraventricular hemorrhage, and periventricular leukomalacia, as well as tube feeding, ventilator use, and dopamine administration within 6 months of age.

INTERPRETATION

In addition to common maternal and infant risk factors, we identified significant paternal risk factors associated with CP, including diabetes mellitus, seizure disorder, and substance abuse. The combination of maternal, paternal, and infant risk factors in CP holds great promise for early identification and intervention.

Maternal body mass index and cerebral palsy in children: A systematic review and dose-response meta-analysis

BACKGROUND

Accumulating studies indicate that maternal obesity is associated with the risk of cerebral palsy (CP); however, their conclusions have been inconsistent.

OBJECTIVES

To quantitatively estimate the association between maternal body mass index (BMI) and CP in offspring.

DATA SOURCES

PubMed, Embase and Web of Science.

STUDY SELECTION AND DATA EXTRACTION

Articles published up to 18 September 2022 were searched that reported the correlation between maternal BMI and CP in children. Two reviewers independently extracted data and critically assessed articles.

SYNTHESIS

Pooled relative risks (RR) and 95% confidence intervals (CI) were estimated by the random-effects model. Subgroup analysis and meta-regression were performed to explore sources of heterogeneity.

RESULTS

In total, 11 articles (8,407,668 participants) were identified for inclusion in our meta-analysis. For maternal underweight, no significant association was found with CP risk (RR 1.11, 95% CI 0.90, 1.38). The risk of CP was increased by 25% (RR 1.25, 95% CI 1.06, 1.47), 38% (RR 1.38, 95% CI 1.18, 1.61) and 127% (RR 2.27, 95% CI 1.82, 2.83) for maternal overweight, obesity and obesity grade 3, respectively. In addition, we observed a positive linear dose-response relationship, with the pooled risk of cerebral palsy in offspring increasing by 3% with each unit increase in maternal BMI.

CONCLUSION

This meta-analysis indicates that the risk of CP in offspring grew with maternal overweight or obesity grades increasing, and was positively correlated with maternal BMI.

Exposure to per- and polyfluoroalkyl substances in early pregnancy and risk of cerebral palsy in children

BACKGROUND

Most cerebral palsy (CP) cases have an unexplained etiology, but a role for environmental exposures has been suggested. One purported environmental risk factor is exposure to endocrine-disrupting pollutants specifically per- and polyfluoroalkyl substances (PFAS).

OBJECTIVES

We investigated the association between prenatal PFAS exposures and CP in Swedish children.

METHODS

In this case-control study, 322 CP cases, 343 population controls, and 258 preterm controls were identified from a birth registry in combination with a CP follow-up program from 1995 to 2014 and linked to a biobank which contains serum samples from week 10-14 of pregnancy. Maternal serum concentrations of four PFAS compounds: perfluorohexane sulfonate (PFHxS), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), and perfluorooctane sulfonate (PFOS) were analyzed using liquid chromatography-tandem-mass-spectrometry. We estimated odds ratios (ORs) and 95 % confidence intervals (CIs) for CP and each PFAS in quartiles and as continuous variables controlling for various sociodemographic and lifestyle factors.

RESULTS

In crude and adjusted analyses, we did not find consistent evidence of associations between serum PFHxS, PFOA, PFNA, PFOS and concentrations in early pregnancy and CP, except in preterm infants. The ORs comparing the highest PFAS quartiles to the lowest were 1.05 (95 % CI: 0.63-1.76), 0.96 (95 % CI: 0.55-1.68), 0.71 (95 % CI: 0.41-1.25), and 1.17 (95 % CI: 0.61-2.26), for PFHxS, PFOA, PFNA, and PFOS, respectively. Some positive associations were observed for preterm infants, but the results were imprecise. Similar patterns were observed in analyses treating PFAS as continuous variables.

CONCLUSIONS

In this study, we found little evidence that early pregnancy prenatal exposure to PFHxS, PFOA, PFNA, or PFOS increases the risk of CP. However, some positive associations were observed for preterm cases and warrant further investigation.

Prevalence of cerebral palsy and factors associated with cerebral palsy subtype: A population-based study in Belgium

AIM

To report on the prevalence, neuroimaging patterns, and function of children with cerebral palsy (CP) in Belgium for birth years 2007-2012, and identify distinctive risk indicators and differences in outcome between CP subtypes.

METHODS

Antenatal and perinatal/neonatal factors, motor and speech function, associated impairments, and neuroimaging patterns were extracted from the Belgian Cerebral Palsy Register. Prevalence was estimated per 1000 (overall, ante/perinatal, spastic, dyskinetic CP) or 10,000 (post-neonatal, ataxic CP) live births. Multinomial logistic regression analyses were performed to ascertain the effects of antenatal/perinatal/neonatal factors and neuroimaging patterns on the likelihood of dyskinetic or ataxic CP relative to spastic CP, and test the likelihood of the occurrence of impaired motor and speech function and associated impairments in dyskinetic or ataxic CP relative to spastic CP.

RESULTS

In total, 1127 children with CP were identified in Belgium. The birth prevalence of overall CP was 1.48 per 1000 live births. The likelihood of dyskinetic CP increases if the child was born to a mother aged ≥35 years, mechanically ventilated, and had predominant grey matter injury, while an increased likelihood of ataxic CP is associated with ≥2 previous deliveries. Children with dyskinetic and ataxic CP are more likely to function with impairments in motor, speech, and intellectual abilities.

CONCLUSION

Distinctive risk indicators and differences in outcome between CP subtypes were identified. These factors can be incorporated into clinical practice to facilitate early, accurate, and reliable classification of CP subtype, and may lead to individually tailored neonatal care and other (early) intervention options.

Cerebral Palsy among Children Visiting the Outpatient Department of Pediatric Orthopaedics in a Tertiary Care Centre

Introduction

Cerebral palsy is a group of neurological disorders that appear in infancy or early childhood and occur as a result of anomalies in the developing brain that impair the brain's capacity to regulate movement, maintain posture, and maintain balance. Healthcare professionals can better predict the need for the medical, rehabilitative, and support services needed by people with cerebral palsy by using accurate prevalence statistics. The aim of the study was to find out the prevalence of cerebral palsy among children visiting the Outpatient Department of Pediatric Orthopaedics in a tertiary care centre.

Methods

A descriptive cross-sectional study was conducted among patients visiting the Outpatient Department of Pediatric Orthopaedics in a tertiary care centre. Data from 1 January 2018 to 31 December 2019 was collected between 25 April 2023 to 5 May 2023 from medical records after obtaining ethical approval from the Institutional Review Committee. Convenience sampling method was used. The point estimate was calculated at a 95% Confidence Interval.

Results

Among 6984 children, the prevalence of cerebral palsy was 545 (7.80%) (7.17-8.43, 95% Confidence Interval). The most common type of cerebral palsy was found to be spastic diplegia 219 (40.18%).

Conclusions

The prevalence of cerebral palsy among children visiting the Outpatient Department of Pediatric Orthopaedic was found to be higher than in other studies done in similar settings.

Keywords

cerebral palsy; prevalence; spastic diplegia.

Determinants of cerebral palsy in children: systematic review

Cerebral palsy (CP) is a group of disorders of movement and postural control caused by a nonprogressive defect or lesion of the developing brain. Several prepregnancy risk factors have been described including maternal age, parity and maternal diseases including epilepsy, diabetes and thyroid disease. There are few in-depth studies on the causes of CP. In the present systematic review, databases searched were Google Scholar and PubMed to identify data on determinants of CP in the world. Studies were included if they specifically mentioned CP as an outcome, the study objective is to identify factors associated with CP in children and all quantitative observational studies. JBI Critical Appraisal Tools were used to assess the methodological quality of a study. Papers that meet the inclusion criteria were rigorously appraised by two critical appraisers. 40 consistent determinants of CP in children from 95 research articles that meet inclusion criteria are included in the review. The majority of studies (24 articles) showed that premature babies and low weight were determinants of CP in children, whereas 15 studies showed that low Apgar scores were determinants of CP in children. The commonest determinants of CP in children are premature babies and low weight, low Apgar scores, intrauterine infection, congenital brain malformations, thyroid disease, premature rupture of membrane (PROM) and placental abruption. Preventing preterm delivery, low birth weight and intrauterine infection as well as immediate neonatal resuscitation for newborns with low Apgar scores may help to prevent CP in children.

Treatment on patients with spastic cerebral palsy in the past 30 years: A systematic review and bibliometric analysis

BACKGROUND

Over the past 30 years, treatments from different disciplines have been applied to spastic cerebral palsy (SCP). However, few bibliometric studies have been conducted to date. This study explored the knowledge base, emerging hotspots, and future trends related to SCP treatment research using bibliometric analysis.

METHODS

Publications on SCP treatment included in the Web of Science Core Collection database between 1990 and 2020 were retrieved, and Medical Subject Headings terms were extracted from PubMed. Online bibliometric analysis website (http://bibliometric.com/), 2 pieces of software called "CiteSpace" and "VOSViewer" were used for quantitative analysis and knowledge map establishment.

RESULTS

A total of 1668 papers were retrieved from 1990 to 2020. The number of publications has increased annually. Developmental Medicine and Child Neurology is the most productive and the highest co-cited journal. The United States has been the largest contributor. Vrije Universiteit Amsterdam ranked first in the number of papers published among institutions that have conducted correlational research. Becher JG and Graham HK should be considered scholars who have made outstanding contributions. The knowledge base of the SCP treatment research field is thoughtfully constructed to promote understanding of the field.

CONCLUSION

This bibliometric study identified global achievements, research hotspots, and trends of SCP treatment. They provide insights into the research field and valuable information for future scientific research and clinical treatment.

Perinatal Risks of Neonatal and Infant Mortalities in a Sub-provincial Region of China: A Livebirth Population-based Cohort Study

Background

Current vital statistics of birth population and neonatal outcome in China lacked information and definition of deaths at delivery and during hospitalization, especially for extreme preterm (EPT) birth. This study aims to delineate the prevalence of neonatal hospitalization, neonatal and infant mortality rates (NMR, IMR) and associated perinatal risks based on all livebirths in Huai’an, an evolving sub-provincial region in eastern China.

Methods

This retrospective cohort study established a comprehensive database linking information of whole regional livebirths and neonatal hospitalization in 2015, including deaths at delivery and EPT livebirths. The primary outcomes were NMR and IMR stratified by gestational age (GA) and birthweight (BW) with 95% confidence intervals. Causes of the neonatal and infant deaths were categorized according to the International Statistical Classification of Diseases 10th version, and population attributable fractions of GA and BW strata were analyzed. Perinatal risks of infant mortalities in continuum periods were estimated by Cox regression models.

Results

Among the whole livebirth population (59056), 7960 were hospitalized (prevalence 13.5%), with 168 (2.8‰) in-hospital deaths. The NMR was 3.6 (3.2, 4.1)‰ and IMR 4.9 (1.4, 4.5)‰, with additionally 35 (0.6‰) deaths at delivery. The major causes of infant deaths were perinatal conditions (2.6‰, mainly preterm-related), congenital anomalies (1.5‰), sudden unexpected death in infancy (0.6‰) and other causes (0.2‰). The deaths caused by preterm and low BW (LBW) accounted for 50% and 40% of NMR and IMR, with 20-30% contributed by EPT or extremely LBW, respectively. Multivariable Cox regression analysis revealed that peripartum factors and LBW strata had strong association with early- and late-neonatal deaths, whereas those of GA < 28 weeks were highly associated with postneonatal deaths. Congenital anomalies and neonatal hospitalization remained high death risks over the entire infancy, whereas maternal co-morbidities/complications were modestly associated with neonatal but not postneonatal infant mortality.

Conclusions

The NMR, IMR, major causes of deaths and associated perinatal risks in continuum periods of infancy, denote the status and quality improvement of the regional perinatal-neonatal care associated with socioeconomic development. The study concept, applicability and representativeness may be validated in other evolving regions or countries for genuine comparison and better maternal-infant healthcare.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04653-8.

High occurrence of perinatal risk factors and more severe impairments in children with postneonatal cerebral palsy in Norway

AIM

To describe causal events, perinatal risk factors and clinical characteristics in children with postneonatal cerebral palsy (PNCP).

METHODS

Population-based registry study of Norwegian children born 1999-2013. Prevalence, causal events and clinical characteristics of PNCP were described. The occurrence of perinatal risk factors for CP was compared with the general population.

RESULTS

Among 1710 children with CP, 67 had PNCP (3.9%; 0.75 per 10,000 livebirths [95%CI: 0.59-0.96]). The prevalence of PNCP decreased during the study period. Leading causal events were cerebrovascular events (32.8%), head injuries/other accidents (22.4%), infections (19.4%) and hypoxic events (14.9%). Spastic hemiplegic (53.7%) or spastic quadriplegic/dyskinetic CP (31.3%) was more common in children with PNCP than non-PNCP (42.3% and 20.1%, respectively; p < 0.001). Children with PNCP had more severe motor and associated impairments. Perinatal risk factors for CP were more common in children with PNCP than in the general population.

CONCLUSION

The prevalence of PNCP among Norwegian children was low and decreasing. The main causes were cerebrovascular events and head injuries/other accidents. Although spastic hemiplegic CP was the dominating subtype, children with PNCP had more severe motor and associated impairments than children with non-PNCP, as well as a higher occurrence of perinatal risk factors than in the general population.

Neonatal Neuroimaging in Neonatal Intensive Care Graduates Who Subsequently Develop Cerebral Palsy

Cerebral palsy is a common cause of physical disability. The New Zealand Cerebral Palsy Register (NZCPR) was established in 2015 and reports national data. Internationally, an early CP diagnosis has been a focus, with imaging and clinical tools used to enable early accurate detection. Accordingly, guidelines are being developed for New Zealand, including a specific pathway for high-risk neonatal intensive care (NICU) graduates, reflecting the high rate of CP in this group. To inform this work, we reviewed imaging data from a retrospective NICU cohort identified from the NZCPR. In these 140 individuals with CP and a confirmed NICU admission during 2000–2019 inclusive, imaging frequency, modality, and rate of abnormality was determined. Overall, 114 (81.4%) had imaging performed in the NICU, but the frequency and modality used varied by gestational subgroup. For infants born at less than 32 weeks gestation, 53/55 had routine imaging with ultrasound, and IVH was graded as none or mild (grade 1–2) in 35 or severe (grade 3–4) in 18 infants. For the 34 infants born between 32–36 weeks gestation, only 13/19 imaged in the NICU were reported as abnormal. For 51 term-born infants, 41/42 imaged in the NICU with MRI had abnormal results.

Computer-Aided Diagnosis of Children with Cerebral Palsy under Deep Learning Convolutional Neural Network Image Segmentation Model Combined with Three-Dimensional Cranial Magnetic Resonance Imaging

In this paper, we analyzed the application value and effect of deep learn-based image segmentation model of convolutional neural network (CNN) algorithm combined with 3D brain magnetic resonance imaging (MRI) in diagnosis of cerebral palsy in children. 3D brain model was segmented based on CNN algorithm to obtain the segmented MRI images of brain tissue, and the validity was verified. Then, 70 children with cerebral palsy were rolled into the observation group (n = 35), which received MRI for diagnosis after segmentation of brain tissue, and control group (n = 35), which were diagnosed by computed tomography (CT). The diagnosis results of the two groups were compared. The validity experiment verified that the image segmentation method based on CNN algorithm can obtain effective style graphics. In clinical trials, the diagnostic accuracy of 88.6% in the observation group was evidently superior to that of 80% in the control group (P < 0.05). In the observation group, one patient was diagnosed as normal, four patients had white matter lesions, 17 patients had corpus callosum lesions, and five patients had basal ganglia softening foci. In the control group, two patients were diagnosed as normal, two patients had white matter lesions, 19 patients had corpus callosum lesions, and four patients had basal ganglia softening foci. No notable difference was found between the two groups (P > 0.05). According to the research results, in the diagnosis of cerebral palsy in children, the image segmentation of brain 3D model based on CNN to obtain the MRI image of segmented brain tissue can effectively improve the detection accuracy. Moreover, the specific symptoms can be diagnosed clearly. It can provide the corresponding diagnostic basis for clinical diagnosis and treatment and was worthy of clinical promotion.

Analysis of Selected Risk Factors Depending on the Type of Cerebral Palsy

Background: Cerebral palsy (CP) is not a defined, separate disease classification, but a set of etiologically diverse symptoms that change with the child's age. According to the up-to-date definition, CP is a group of permanent but not unchanging disorders of movement and/or posture and motor function, which are due to a nonprogressive interference, lesion, or abnormality of the developing/immature brain. CP is one of the most frequent causes of motor disability in children. The aim of the present study was to analyze whether selected risk factors may vary depending on particular types of CP. Methods: 181 children with CP (aged 4-17 years), hospitalized at the Department of Pediatrics and Developmental Age Neurology in Katowice in the years 2008-2016 were retrospectively analyzed in the present study. The assumed risk factors of CP were divided into two groups: 1-pre-conception and prenatal (mother's age, family history of epilepsy, burdened obstetric history, mother's systemic diseases, pregnancy order, multiple pregnancy, duration of pregnancy, bleedings from the genital tract during gestation, arterial hypertension during pregnancy, infections during pregnancy, preterm contractions, maintained pregnancy, premature rupture of membranes, abruptio placentae, and others), 2-perinatal and postnatal (mode of delivery, birth weight, Apgar score at the first and fifth minute, neonatal convulsions, respiratory failure, infections in neonatal and infant period, and intraventricular bleeding). The division into particular CP types was based on Ingram's classification. Results: The following risk factors were the most frequent in the total group: respiratory failure, infections, intraventricular bleeding, and prematurity. Among the analyzed preconception and prenatal factors, the duration of pregnancy and preterm contractions during pregnancy significantly differentiated the subgroups of patients depending on the type of CP. The prevalence of almost all analyzed perinatal, neonatal, and infant-related risk factors (i.e., birth weight, Apgar score at the first and fifth minute, neonatal convulsions, respiratory failure, infections in neonatal and infant period, and intraventricular bleeding) significantly differed between CP types, apart from the mode of delivery. However, in multivariate regression, only intraventricular bleeding was an independent predictor for tetraplegic CP type when compared to joined extrapyramidal and ataxic types (OR = 2.801, p = 0.028). Conclusions: As CP is a syndrome of multifactorial etiology, the identification of CP risk factors entails the need for careful observation and comprehensive care of children in the risk group. The presence of certain risk factors may be a prognostic indicator for particular types of CP. The knowledge about the association between the risk factor(s) and the CP type could be a very useful tool for pediatricians looking after the child at risk of developmental disorders.

Automating Quantitative Measures of an Established Conventional MRI Scoring System for Preterm-Born Infants Scanned between 29 and 47 Weeks' Postmenstrual Age

BACKGROUND AND PURPOSE

Conventional MR imaging scoring is a valuable tool for risk stratification and prognostication of outcomes, but manual scoring is time-consuming, operator-dependent, and requires high-level expertise. This study aimed to automate the regional measurements of an established brain MR imaging scoring system for preterm neonates scanned between 29 and 47 weeks' postmenstrual age.

MATERIALS AND METHODS

This study used T2WI from the longitudinal Prediction of PREterm Motor Outcomes cohort study and the developing Human Connectome Project. Measures of biparietal width, interhemispheric distance, callosal thickness, transcerebellar diameter, lateral ventricular diameter, and deep gray matter area were extracted manually (Prediction of PREterm Motor Outcomes study only) and automatically. Scans with poor quality, failure of automated analysis, or severe pathology were excluded. Agreement, reliability, and associations between manual and automated measures were assessed and compared against statistics for manual measures. Associations between measures with postmenstrual age, gestational age at birth, and birth weight were examined (Pearson correlation) in both cohorts.

RESULTS

A total of 652 MRIs (86%) were suitable for analysis. Automated measures showed good-to-excellent agreement and good reliability with manual measures, except for interhemispheric distance at early MR imaging (scanned between 29 and 35 weeks, postmenstrual age; in line with poor manual reliability) and callosal thickness measures. All measures were positively associated with postmenstrual age (r = 0.11-0.94; R² = 0.01-0.89). Negative and positive associations were found with gestational age at birth (r = -0.26-0.71; R² = 0.05-0.52) and birth weight (r = -0.25-0.75; R² = 0.06-0.56). Automated measures were successfully extracted for 80%-99% of suitable scans.

CONCLUSIONS

Measures of brain injury and impaired brain growth can be automatically extracted from neonatal MR imaging, which could assist with clinical reporting.