NEUROLOGICAL CHARACTERISTICS AND DIAGNOSTIC ALGORITHM FOR PERINATAL PATHOLOGIES IN        FULL-TERM NEWBORNS WITH  LOW BIRTH WEIGHT

Karimova G. L.,  Qodirov J. Sh.

Authors

Karimova G. L., Qodirov J. Sh. Assistant Department of Neurology of ASMI.

Keywords:

Low Birth Weight (LBW), full-term Newborns, neurological characteristics, perinatal pathologies, diagnostic algorithm, neurodevelopmental disorders, early intervention, neonatal neurology, pediatric diagnostics, motor and sensory impairments.

Abstract

This research explores the neurological characteristics and establishes a diagnostic algorithm specifically tailored for identifying perinatal pathologies in full-term newborns with low birth weight. Infants born with low birth weight, despite being full-term, face increased risks of neurodevelopmental challenges, including cognitive delays, motor impairments, and sensory processing issues. Our study highlights key neurological indicators, such as reflex and tone abnormalities, cranial nerve responses, and atypical sleep-wake cycles, as significant early markers for potential neurodevelopmental complications. The proposed diagnostic algorithm combines clinical observations with neurophysiological evaluations, including brain imaging and electroencephalography (EEG), to create a precise, multifaceted diagnostic framework. By facilitating timely identification and intervention, this algorithm aims to mitigate developmental risks, providing a structured approach to improve long-term neurological outcomes for infants with perinatal pathology. These findings hold important implications for pediatric care strategies, emphasizing the need for routine neurological screenings and targeted therapeutic approaches for newborns with low birth weight.

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