Investigation of the Relationship Between Shoulder Alpha Angle and Humeral Head Displacement Percentage Measured by Ultrasonography in Neonatal Brachial Plexus Palsy Infants With Clinical Parameters
Investigation of the Relationship Between Shoulder Alpha Angle and Humeral Head Displacement Percentage Measured by Ultrasonography in Neonatal Brachial Plexus Palsy Infants With Clinical Parameters
This study will examine infants with a birth-related nerve injury called neonatal brachial plexus palsy, which can affect movement in the arm and sometimes cause the shoulder joint to shift out of its normal position (subluxation). Researchers will use ultrasound imaging to measure the shoulder joint and will compare these measurements with findings from a physical examination, to determine which clinical signs can help predict whether a baby's shoulder will develop this problem. The goal is to help doctors detect shoulder problems earlier, so that treatment can start sooner.
Infants aged 3 months to 1 year with neonatal brachial plexus injury (Narakas Group I-III) will be evaluated at a single pediatric rehabilitation clinic. At each visit, the same physiatrist will perform a standardized clinical examination, including assessment of demographic and obstetric history, subluxation-specific clinical signs (axillary skin fold asymmetry, palpable posterior fullness), passive range of motion, upper extremity length discrepancy, the Active Movement Scale, and the Toronto Test Score. A second physiatrist, blinded to clinical findings, will perform shoulder ultrasonographic evaluation using a posterior approach to measure the alpha angle and the percentage of humeral head displacement (PHHD). Glenohumeral subluxation will be defined as an alpha angle greater than 30 degrees; dislocation will be defined as an alpha angle greater than 30 degrees combined with PHHD greater than 50%. Associations between clinical findings and ultrasonographic subluxation will be analyzed using Generalized Linear Mixed Models to account for repeated measurements per patient, followed by ROC curve analysis to identify optimal predictive thresholds.
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melibalat@gmail.com+90 553 770 28 43
girayesra@hotmail.com+90 555 813 43 94
melibalat@gmail.com+90 553 770 28 43
girayesra@hotmail.com+90 555 813 43 94