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General movement assessment (GMA) at 9-20 weeks post-term, can effectively predict cerebral palsy. Our aim was to evaluate intra-individual variability of the temporal organization of fidgety movements (FMs) in high risk infants.104 High risk infants (66 males) with at least two video recordings from the FMs period participated. 45 of the infants had GA28 weeks and/or BW ≤800 g. Mean post-term age at first and second assessments was 11.0 (8-16) and 14.0 (11-17) weeks, respectively, and median time-difference between the assessments was 2.0 (range: three days to six weeks) weeks. Video recordings were analyzed according to Prechtl's GMA.33 (32%) Infants were classified differently at first and second assessments. Six infants (6%) changed from normal to abnormal, and 10 (10%) changed from abnormal to normal FMs. Seven of the ten who changed classification from abnormal to normal were born before GA 26 weeks. A change between intermittent and continual, which are both considered normal, was observed in 17 (16%) infants.A change in temporal organization of FMs is common in high risk infants. Especially in extremely preterm infants with abnormal FMs, more than one assessment should be performed before long-term prognosis is considered.

Extreme prematurity carries a high risk of neurosensory disability.Examine which information obtained pre-, peri- and postnatally may be predictive of neurosensory disabilities at 2 years of age.Prospective observational study of all infants born in Norway in 1999 and 2000 with gestational age (GA) 22-27 completed weeks or birth weight (BW) of 500-999 g.Incidence of neurosensory disabilities.Of 373 surviving children, 30 (8%) had major neurosensory disabilities (26 CP, 6 blind, 3 deaf), and a further 46 (12%) had minor visual or hearing disabilities. The rate of major neurosensory disabilities was 19 of 99 (19%) for children with GA 23-25 vs. 8 of 189 (4%) for GA 26-27 weeks (p0.001). In a multivariable model, only morbidities detected in the neonatal intensive care unit (NICU) were associated with major neurosensory disabilities; adjusted odds ratios (95% confidence intervals) were 68.6 (18.7, 252.2) for major abnormalities on cerebral ultrasound, 6.8 (1.7, 27.4) for retinopathy of prematurity (ROP) grade2, 3.2 (1.0, 9.7) for ROP grade 1-2, 6.5 (1.9, 22.3) for prolonged use (or = 21 days) of steroid treatment for lung disease and 3.1 (1.0, 9.4) for clinical chorioamnionitis. The visual outcome was strongly related to the degree of ROP (p0.001), and all who had a normal hearing screen in the NICU had normal hearing at 2 years.NICU morbidities, rather than GA or intrauterine growth are the significant predictors of major neurosensory disabilities among extreme prematurity surviving to discharge from the NICU.

Objective Absence of fidgety movements (FM) in high-risk infants is a strong marker for later cerebral palsy (CP). FMs can be classified by the General Movement Assessment (GMA), based on Gestalt perception of the infant's movement pattern. More objective movement analysis may be provided by computer-based technology. The aim of this study was to explore the feasibility of a computer-based video analysis of infants' spontaneous movements in classifying non-fidgety versus fidgety movements. Method GMA was performed from video material of the fidgety period in 82 term and preterm infants at low and high risks of developing CP. The same videos were analysed using the developed software called General Movement Toolbox (GMT) with visualisation of the infant's movements for qualitative analyses. Variables derived from the calculation of displacement of pixels from one video frame to the next were used for quantitative analyses. Results Visual representations from GMT showed easily recognisable patterns of FMs. Of the eight quantitative variables derived, the variability in displacement of a spatial centre of active pixels in the image had the highest sensitivity (81.5) and specificity (70.0) in classifying FMs. By setting triage thresholds at 90% sensitivity and specificity for FM, the need for further referral was reduced by 70%. Conclusion Video recordings can be used for qualitative and quantitative analyses of FMs provided by GMT. GMT is easy to implement in clinical practice, and may provide assistance in detecting infants without FMs.

The general movement assessment (GMA) method is used to predict cerebral palsy (CP) in infants with high risk of developing neurological dysfunctions. Most of the work on GMA has been performed from the same group of researchers. The aim of this study was to demonstrate to what extent GMA predicted CP in our hands.A prospective study was performed using the Prechtl classification system for GMA in the fidgety period to predict later cerebral palsy. The study population consisted of 74 term and preterm infants at low and high risk of developing neurological dysfunction. The absence or presence of CP was reported at 23 months median-corrected age by the child's physician and the parents.The GMA identified all 10 infants that later were classified as having CP. GMA also identified all the infants that did not develop CP except for one infant with abnormal GMA and no CP. Three infants had uncertain CP status at follow-up. The sensitivity of GMA with regard to later CP was 100% with 95% CI (0.73, 1.00) and the specificity was 98% with 95% CI (0.91, 0.99) when the three uncertain cases were excluded.Our study indicates that the GMA used in a clinical setting strongly predicts the development of CP. The work supports the results of previous studies and contributes to the validation of GMA. The qualitative nature of this method may be a problem for inexperienced observers. Larger clinical studies are needed.