- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07310459
Perinatal Risk Factors in Motor Development
Evaluation of Perinatal Risk Factors in Future Gross Motor Development of Preterm Infants: a Cross-sectional Study
The aim of this study is to analyze the effect of preterm gestational age, birth weight and perinatal risks factors on gross motor development of preterm infants.
We will compare the data of infants evaluated by the Alberta Infant Motor Scale (AIMS) and the Perinatal Risk Inventory (PERI) in an Infant Development and Early Intervention Center (IDEIC).
Study Overview
Status
Detailed Description
An assessment of the infants' gross motor development will be carried out at admission, of IDEIC following the AIMS scale and bearing in mind their corrected age. Importantly, the trimester according to their corrected age was also recorded.
The gestational age of each infant will be recorded and used to group participants according to the following classification: late preterm newborn infant (LPNI; born between 34+1 and 36+6 weeks of gestation); moderate preterm newborn infant (MPNI; born between 32+1 to 34 weeks of gestation); very preterm newborn infant (VPNI; born between 28 to 32 weeks of gestation); and extreme preterm newborn infant (EPNI; born before 28 weeks of gestation).
The birth weight will be recorded and the infants will be grouped according to the following classification: newborns with adequate birth (birth weight of >2500 g), low birth weight (LBW; <2500 g and >1500 g); very low birth weight (VLBW; <2500 g and >1000 g), and extreme low birth weight (ELBW; <1000 g).
The infants will be assessed by the PERI test accounting for their discharge medical records. The infants will be then classified according to the biological risk level, in low, moderate and high risk.
Both the PERI and the AIMS test were assessed by three physiotherapists from the IDEIC with 10 to 20 years of experience.
Afterwards data will be analyzed using the Statistical Package for the Social Sciences Statistics (IBM SPSS) software for Windows version 22.0.
From all data collected as described in the brief summary, descriptive analysis and correlations between variables will be performed.
Samples will be classified using descriptive and frequency analysis. One-factor ANOVA, bivariate correlations will be carried out. Correlations between variables will be evaluated using Pearson's coefficient (bivariate correlation) or Spearman's coefficient (rank correlation). Frequencies analysis, square Chi test and backwards regression analysis will be used when appropriate.
AIMS direct scores will be standardized by converting them into Z scores. AIMS standard mean and deviation by age and gender will be used.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Francisco Javier Fernandez Rego, PhD
- Phone Number: +34 666557827
- Email: fjfernan@um.es
Study Contact Backup
- Name: Galaad Torro Ferrero, PhD
- Phone Number: +34 685306937
- Email: galaad.torro@um.es
Study Locations
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Murcia
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Lorca, Murcia, Spain, 30800
- CDIAT Fina Navarro Lopez
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Contact:
- Francisco Javier Fernandez Rego, PhD
- Phone Number: +34968467499
- Email: cdiatlorca@lorca.es
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Contact:
- +34
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- preterm infants showing biological risk factors
- parents or tutors signe an informed consent.
Exclusion Criteria:
- Diagnosis of encephalopathy
- genetic syndromes
- congenital malformations
- neuromuscular disorders
- myopathies
- metabolic and oncologic diseases
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Group of Preterm infants
Preterm infants cared at the "Fina Navarro Lopez" Childhood Development and Early Intervention Center (Lorca) between 2023 and 2025 who have been assessed using the Alberta Infant Motor Scale and the Perinatal Risk Inventory
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Perinatal Risk Inventory (PERI)
Time Frame: Day 1
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The PERI is a test designed to assess neonatal situation, prior to infants' discharge from the hospital at birth that determines the possibility of abnormalities or pathologies in the infant' development at very early stages. Its predictive value is greater when it reaches a score equal or superior to 10. The infants will be assessed by the PERI test accounting using their discharge medical records. |
Day 1
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Alberta Infant Motor Scale (AIMS)
Time Frame: Baseline
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The Alberta Infant Motor Scale (AIMS) is an observational scale to assess infants' gross motor development from birth to independent walking. The test consists of 58 items based on descriptions of the postural control in supine (9 items), prone (21 items), sitting (12 items) and standing (16 items) position. Each item scores one point, therefore the maximum puntuation possible is 58 points and the minimum 0 points. The greater the puntuation, the better is their motor development. It is conceived for infants from 0 to 18 months old. The test provides information about the infant's motor activities and allows the measurement of motor activity development over time or before and after therapy. The infants' assessment needs to take place in a quiet environment with minimal handling and without stimuli or random help. An assessment of the infants' gross motor development will be carried out at admission, following the AIMS scale and bearing in mind their corrected age. |
Baseline
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Gestational age
Time Frame: Day 1
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Gestational age at birth.
This information will be extracted from their discharge medical records
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Day 1
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Birth weight
Time Frame: Day 1
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Weight that preterm infant had at birth.
This information will be extracted from their discharge medical records
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Day 1
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Francisco Javier Fernandez Rego, PhD, Universidad de Murcia
Publications and helpful links
General Publications
- Thomaidis L, Zantopoulos GZ, Fouzas S, Mantagou L, Bakoula C, Konstantopoulos A. Predictors of severity and outcome of global developmental delay without definitive etiologic yield: a prospective observational study. BMC Pediatr. 2014 Feb 12;14:40. doi: 10.1186/1471-2431-14-40.
- Pritchard MA, Colditz PB, Cartwright D, Gray PH, Tudehope D, Beller E. Risk determinants in early intervention use during the first postnatal year in children born very preterm. BMC Pediatr. 2013 Dec 5;13:201. doi: 10.1186/1471-2431-13-201.
- Zaramella P, Freato F, Milan A, Grisafi D, Vianello A, Chiandetti L. Comparison between the perinatal risk inventory and the nursery neurobiological risk score for predicting development in high-risk newborn infants. Early Hum Dev. 2008 May;84(5):311-7. doi: 10.1016/j.earlhumdev.2007.08.003. Epub 2007 Sep 27.
- Christian P, Murray-Kolb LE, Tielsch JM, Katz J, LeClerq SC, Khatry SK. Associations between preterm birth, small-for-gestational age, and neonatal morbidity and cognitive function among school-age children in Nepal. BMC Pediatr. 2014 Feb 27;14:58. doi: 10.1186/1471-2431-14-58.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- CDIAT Lorca 1/2025
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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