Identifying premature infant at high and low risk for motor delays using motor performance testing and MRS Patricia Coker-Bolt, PhD OTR/L, FAOTA1; Kathryn Hope2, MPH; Viswanathan Ramakrishnan, PhD3; Truman Brown, PhD4; Denise Mulvihill, MD1, and Dorothea Jenkins, MD2 1Division of Occupational Therapy, 2Department of Pediatrics, 3Public Health Sciences, 4Radiology, Medical University of South Carolina, Charleston, SC ABSTRACT Background: • Premature infants with normal cranial ultrasounds remain at risk for later motor delays, which go undetected in early infancy.2 • Of the 12-16% of children with developmental delay, only half will be identified by the time they enter kindergarten.1 • The Test of Infant Motor Performance (TIMP) is the current gold standard infant motor assessment, but rarely used by pediatricians during well-child visits due to lack of time and special training required. • A short, standardized screening test administered to infants in the first months of life would target early intervention to those most at risk.3 • In our previous work, Rasch partial credit model was used to analyze and select 10 TIMP items with strongest correlation to motor ability at 12 months. New scales were then developed for more sensitive scoring of these 10 items, comprising a novel screening tool, the Specific Test of Early Infant Motor performance (STEP) (Figure 1). Specific aims: Evaluate the robustness of a new, shortened, screening assessment (STEP) through factor analysis of 10 motor items, and test the STEP against current validated infant motor skills assessments and outcome measures of development. DESIGN/ METHODS Design: A secondary analysis of an existing cohort of 22 preterm infants (24-35 weeks gestation), with video recorded motor tests at 12 weeks and 12 months corrected gestational age (CGA). (Table 1) Figure 1. Representative schematic of STEP scale for “Prone Extension” Funded by MUSC’s SCTR Discovery & Early Career Grant FY13 UL1 TR000062 • The STEP is quick and easy to administer and score and requires minimal training of health care professionals. CONCURRENT AND EXTERNAL VALIDITY OF THE STEP Figure 2. Correlations between the STEP and TIMP • STEP correlated with TIMP scores at term (r=0.062, p=0.003), 12 weeks CGA (r=0.79, p<0.001), as well as the change in TIMP scores from term to 12 weeks (r=0.46, p=0.035), indicating it might be a short, specific surrogate measure of a much longer motor test. (Fig. 2) Table 3 & Figure 3. Correlations of STEP and TIMP scales at 12-weeks CGA to Bayley scores at 12-months Gross Motor Bayley: Fine Motor Total Motor Score EVALUATION OF ROBUSTNESS OF THE STEP Table 1. Patient Demographics Total Infants (N=22) Sex 10 Females, 12 Males Race 11 Caucasians, 11 African Americans GA at Birth (mean ± SD) 29.6 ± 2.9 weeks Birth weight (mean ± SD) 1259 ± 634 grams Intracranial lesions 4 IVH (3 grade I, 1 grade II), 0 infarcts/PVL Risk (TIMP at 12-weeks CGA) 9 High; 13 Low Bayley Motor Outcome (N=19) 8 Average; 11 Low/Below Average Pull to sit Prone extension Supine with no vision Supine with vision Standing Supine sitting Grasp Kicking Rolling with leg % variance explained Head Control Upper Extremity Lower Extremity 0.89540 0.89496 0.84610 0.76003 0.69165 0.76553 0.24003 0.38154 0.65745 68% -0.23615 -0.15936 0.20399 -0.30853 -0.43411 0.36989 0.72577 0.48327 0.11327 20% -0.06632 -0.21346 -0.16812 0.16172 0.23230 0.00095 -0.29594 0.76373 -0.17037 12% • 1 item (rolling with arm) was unable to accurately be scored by viewing existing video tapes, therefore the STEP score was constructed from 9 items for the EFA analysis. • A pattern of relationships exists between STEP items that evaluate head, arm, and leg movements (Table 2). • STEP items related to head movements are likely influencing the overall score (Table 2). R value 0.68519 0.47682 p-value 0.0012 0.039 TIMP Scale: R value 0.474 n/s p-value 0.04 0.68634 0.0012 • Early motor skills should reflect biochemical evidence of subtle brain injury. Preliminary analysis of the STEP scales showed correlations to key brain metabolites. • The STEP demonstrated good psychometric properties and predictive abilities for infant developmental outcomes on the Bayley at 12 months. • The motor items of STEP were grouped into three meaningful latent constructs which show a pattern of relationships between motor movements which evaluate head, arm, and leg movements. • Quality of movement is a marker of the integrity of an infant’s nervous system and could be a predictor of developmental disability and provide valuable information on how at-risk infants interact with people and objects in their environment.3,7 0.437 0.061 • STEP correlated better with Bayley outcomes than the TIMP (Table 3, Figure 3) Table 4. Motor test associations with common MRS metabolites in WM • MRS metabolite ratios mI/Cr, Metabolites mI/NAA, and NAA/Cho WM mI/Cr showed the most significant associations with the 12 week WM mI/NAA TIMP and STEP scores WM NAA/Cho (Table 4) • The 10-item STEP at 12-weeks showed a much stronger correlation than the concurrent full 42-item TIMP with the Bayley at 12-months. • Early head movements, patterns of standing, kicking, and visual responses may be sensitive to discriminate differences between typical and at-risk infants. STEP Scale: Table 2. Latent constructs of STEP using Exploratory Factor Analysis (EFA) Measures of Outcome: • STEP scored from existing video recordings of TIMP at 12 weeks CGA. • Test of Infant Motor Performance (TIMP) at term and 12 weeks CGA. • Bayley III Scales of Infant and Toddler Development (Bayley III) at 12 months CGA. Bayley subscale scores ≤8 = low/below average 4,5. • MRS: Siemens 3T: Single voxel [15 x 15 x 15 mm] in basal ganglia (BG) and frontal lobe white matter (WM) [echo PRESS sequence128 avg, TR=2000ms, TE 30ms, 270ms]. • Data Analysis: Pearson’s correlational coefficient was used to relate TIMP, Bayley and STEP scores. Exploratory factor analysis (EFA) was used to identify latent constructs of STEP. Logistic regression, using EFA scores, was performed to predict dichotomized Bayley outcome. Sensitivity and specificity of EFA STEP scores were evaluated using predictive outcomes versus actual outcomes. A drop-one-predict evaluation was used to assess external validity. DISCUSSION RESULTS STEP (p=) 0.008 0.016 0.006 TIMP (p=) 0.007 0.026 0.0197 Table 5. Comparison of common infant tests and STEP: Sensitivity and Specificity6 Assessment Sensitivity Specificity STEP TIMP Cranial ultrasound Neurologic Exam 0.75 0.86 0.70 0.88 0.82 0.68 0.69 0.87 • Ability of the STEP to predict Bayley Motor outcomes , using EFA scores, in the current cohort: Sensitivity =1.0 and Specificity= 0.91 • Ability to prospectively identify at risk infants (External Validity): Sensitivity=0.75 and Specificity=0.82 (Table 5). CONCLUSIONS • Though our numbers are small, the strength of the associations are encouraging and provide strong pilot data and proof of concept for potential validity of the STEP assessment. • This is a preliminary analysis of the psychometric properties of the STEP. Validation of the STEP as a clinically useful infant motor assessment requires further analysis. • Future work: currently enrolling and testing infants using a revised STEP for adequate subject to variable ratio needed to complete a more through factor analysis of the psychometric properties of the STEP. REFERENCES 1.Mackrides PS & Ryherd SJ. Screen for developmental delay. American Family Physician 2011; 84:544-560. 2.Donahue, P.K., Graham, E.M. Earlier markers for cerebral palsy and clinical research in premature infants. Journal of Perinatology. 2007; 27: 259-261 3.Coker-Bolt, P., Woodbury, M., Perkel, J., Moreau, N., Hope, K., Brown, R., Ramakrishnan, R. Mulvihill, D., & Jenkins, D. (2012). Identifying premature infant at high and low risk for motor delays using motor performance testing and MRS. Journal of Pediatric Rehabilitation Medicine, 2014 (in press). 4.Spittle AJ, et al. Does the Bayley II Motor scale at 2 years predict motor outcome at 4 years in very preterm children? Developmental Medicine and Child Neurology. 2013; 55:448-452. 5.Vohr BR, et al. Are outcomes of extremely preterm infants improving? Impact of Bayley assessment on outcomes J Peds. 2012; 161:222-8. 6.Bosanquet, M., Copeland, L., Ware, R., & Boyd, R. (2013). A systematic review of tests to predict cerebral palsy in young children. Developmental Medicine & Child Neurology, 55,418426. 7.Barbosa, V. M., Campbell, S. K., Smith, E., &Berbaum, M. (2005).Comparison of test of infant motor performance (TIMP) item responses among children with cerebral palsy, developmental delay, and typical development. American Journal of Occupational Therapy, 59, 446-456.
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