Predictive value of general movements' quality in low-risk infants for minor neurological dysfunction and behavioural problems at preschool age

[Differences in the Distribution of the General Movements Classification Between Neonatal Risk Groups in the Children's Hospital Zurich: An Observational Study]

INTRODUCTION

Neonatal infants are at increased risk for motor development disorders.

OBJECTIVE

To compare General Movements (GMs) classification between three neonatal risk groups, correlate the GMs Assessment (GMA) with a standardized developmental neurological examination (SDNE) and determine risk factors for abnormal GMs.

METHODS

Monocentric observational study with three risk groups (children with operated congenital heart disease (CHD) n=26, with operated congenital gastrointestinal malformations (CGM) n=17 and with fetal operated myelomeningocele (MMC) n=12 who underwent inpatient video-based examination. GMA was evaluated according to Hadders-Algra classification and divided into 4 categories: normal optimal (NO), normal suboptimal (NS), mildly abnormal (MA), definitely abnormal (DA).

RESULTS

The distribution was as follows: CHD 80.8% NS, 19.2% MA, CGM 5.9% NO, 64.7% NS, 29.4% MA, MMC upper extremities 100% NS, lower extremities 33.3% NS, 33.3% MA and 33.3% DA (group comparison Kruskal-Wallis 10.729, p=0.003). GMA correlated significantly with SDNE (Spearman r _s=0.869, p<0.001). Binary logistic regression analysis showed that only gestational age (Chi²=11.93, p<0.001) correlated with abnormal GMs.

CONCLUSION

The majority of children showed normal GMs. Children with MMC and those with lower gestational age showed an increased risk of abnormal GMs. The GMA and SDNE represent complementary "bedside tools" to detect early motor abnormalities.

Assessing parasympathetic measures of heart rate variability shortly after birth to predict motor repertoire at four months in low risk preterm infants born between 28 and 32 weeks of gestation

In low risk preterm infants, the risk for mild to moderate neuro-motor impairment is extremely high. Additionally, the autonomic nervous system (ANS) function was also found to be impaired. ANS activity may predict neuro-motor development at four months corrected age. This study examines the predictive value of the ANS function in detecting neuro-motor impairments during the first 4 months of life among low risk preterm infants born between 28 and 32 weeks of gestation. 46 infants were recruited. For each infant, heart rate variability (HRV) measures were obtained at week born, 32- and 35-weeks postmenstrual age (PMA). The General Movement Assessment (GMA) and the Motor Optimality Score for 3- to 5- Month- Old Infants (MOS) were performed at 35 weeks PMA and at 4 months corrected age respectively. A significant correlation was found between the parasympathetic nervous system (PSNS) components of HRV and the MOS evaluation. Preterm infants with suboptimal MOS scores showed significantly lower HRV values in the components of the PSNS (0.01 < p-value <0.04). A weak correlation was found between the HRV and the GMA. A Receiver Operating Characteristic was designed and revealed the predictive validity of the PSNS in preterm infants with a suboptimal MOS score. The current study shows that among very preterm infants with no additional risk factors, the PSNS component of HRV can predict neuro-motor outcome at 4 months corrected age and may be used as an early sign for mild neuro-motor impairments in order to initiate an early intervention program.

[Interpretation of the international expert recommendations of clinical features to prompt referral for diagnostic assessment of cerebral palsy]

Under the guidance and support of national policies in recent years, the community medical system has been developed rapidly, among which primary child healthcare is carried out routinely in community hospitals, greatly alleviating the pressure of specialized pediatric hospitals and departments of pediatrics in secondary and tertiary general hospitals. However, due to the lack of professional training for primary child healthcare personnel in community medical institutions, early symptoms of children with cerebral palsy cannot be identified and so children with cerebral palsy are often unable to receive early diagnosis and intervention, which may affect their prognosis. An article about international expert consensus and recommendations on early identification and referral of cerebral palsy in community medical institutions was published in Development Medicine and Child Neurology in 2020. It proposed six clinical features that should prompt referral and two warning signs that warrant enhanced monitoring, as well as five recommendations for referral to medical experts and other healthcare professionals for the diagnosis of cerebral palsy. The recommendations may help primary child healthcare personnel in community medical institutions to early identify the children at high risk of cerebral palsy, thus reducing the delay of referral and intervention. This article gives an interpretation of the recommendations based on the actual situation in China, in order to improve the ability of primary child healthcare personnel in community medical institutions to early identify high-risk signals of cerebral palsy and conduct reasonable referral. This will help to achieve the early identification, early diagnosis, and early intervention to improve the prognosis of children with cerebral palsy.

Advances in cerebral palsy biomarkers

Cerebral palsy (CP), defined as a group of nonprogressive disorders of movement and posture, is the most common cause of severe neurodisability in children. The prevalence of CP is the same across the globe, affecting approximately 17 million people worldwide. Cerebral Palsy is an umbrella term used to describe the disease due to its inherent heterogeneity. For instance, CP has multiple (1) causes; (2) clinical types; (3) patterns of neuropathology on brain imaging and (4) it's associated with several developmental pathologies such as intellectual disability, autism, epilepsy, and visual impairment. Understanding its physiopathology is crucial to developing protective strategies. Despite its importance, there is still insufficient progress in the areas of CP prediction, early diagnosis, treatment, and prevention. Herein we describe the current risk factors and biomarkers used for the diagnosis and prediction of CP. With the advancement in biomarker discovery, we predict that our understanding of the etiopathophysiology of CP will also increase, lending to more opportunities for developing novel treatments and prognosis.

The acute effects of physiotherapy on general movement patterns in preterm infants: A single-blind study

BACKGROUND

The General Movement Assessment (GMA) is a video analysis method developed by Heinz Prechtl that examines the infant's spontaneous movements. In recent years, although many studies have been performed in preterm infants by applying GMA, few studies have shown the effects of early intervention on GMA.

AIMS

Current study was planned to determine the acute effects of a single-session early physiotherapy approach on preterm infants' general spontaneous movements, and to reveal the change in Motor Optimality Scale (MOS) score including FMs.

STUDY DESIGN

Prospective, single-blind study.

SUBJECTS

Current study was carried out with 32 preterm infants at postterm 12-16 weeks.

OUTCOME MEASURES

The infants included in the study were videotaped by a physiotherapist during 10-15 min before the physiotherapy session at postterm 12-16 weeks for GMA. After a single physiotherapy session, the same physiotherapist performed the same video footage second time. A blind evaluator assessed the videos taken before and after session and scored Motor Optimality Scale (MOS).

RESULTS AND CONCLUSIONS

There was no statistically significant difference between MOS sub-category and total score of the infants before and after the session (p > 0.05). According to the results of present study, a single-session early physiotherapy intervention did not have an acute effect on the spontaneous movements of preterm infants at postterm 12-16 weeks. Future studies are needed to demonstrate the short and long-term effects of early physiotherapy approaches to risky infants.

Neuroimaging perspectives on fetal motor behavior

We are entering a new era of understanding human development with the ability to perform studies at the earliest time points possible. There is a substantial body of evidence to support the concept that early motor behaviour originates from supraspinal motor centres, reflects neurological integrity, and that altered patterns of behaviour precede clinical manifestation of disease. Cine Magnetic Resonance Imaging (cineMRI) has established its value as a novel method to visualise motor behaviour in the human fetus, building on the wealth of knowledge gleaned from ultrasound based studies. This paper presents a state of the art review incorporating findings from human and preclinical models, the insights from which, we propose, can proceed a reconceptualisation of fetal motor behaviour using advanced imaging techniques. Foremost is the need to better understand the role of the intrauterine environment, and its inherent unique set of stimuli that activate sensorimotor pathways and shape early brain development. Finally, an improved model of early motor development, combined with multimodal imaging, will provide a novel source of in utero biomarkers predictive of neurodevelopmental disorders.

[Developmental neurology - networked medicine and new perspectives]

Developmental neurology is one of the major areas of neuropediatrics and is among other things (legally) responsible for monitoring the motor, cognitive and psychosocial development of all infants using standardized monitoring investigations. The special focus is on infants born at risk and/or due to premature birth before 32 weeks of gestation or a birth weight less than 1500 g. Early diagnosis of deviations from normal, age-related development is a prerequisite for early interventions, which may positively influence development and the long-term biopsychosocial prognosis of the patients. This article illustrates the available methods in developmental neurology with a focus on recent developments. Particular attention is paid to the predictive value of general movements (GM). The current development of markerless automated detection of spontaneous movements using conventional depth imaging cameras is demonstrated. Differences in spontaneous movements in infants at the age of 12 weeks are illustrated and discussed exemplified by three patients (healthy versus genetic syndrome versus cerebral palsy).

Does general movements quality in term infants predict cerebral palsy and milder forms of limited mobility at 6 years?

AIM

To evaluate in term infants associations between quality of general movements and developmental outcome in term infants at 6 years with either cerebral palsy (CP) or limited mobility without CP.

METHOD

Participants of this prospective study were 145 term infants (86 male, 59 female). Their general movements quality was assessed at 'writhing' and 'fidgety' general movements age (3wks and 13wks post term). The assessment at 6 years consisted of a neurological examination, including assessment of minor neurological dysfunction (MND), evaluation of mobility with the Movement Assessment Battery for Children, and of behaviour and learning problems with questionnaires.

RESULTS

Definitely abnormal general movements at writhing age were not associated with CP, whereas definitely abnormal general movements at fidgety age were (sensitivity 60%; specificity 91%; positive predictive value 19%, negative predictive value 98%). In children without CP, general movements quality was not associated with limited mobility, but it was associated to a minor extent with MND.

INTERPRETATION

In term infants, definitely abnormal general movements at fidgety age do predict CP, but with lower accuracy than in preterm infants. General movements quality does not predict limited mobility in children without CP. The study supports suggestions that predictive value of general movements assessment in term infants is lower than that in preterm infants.