Multimodal characterization of pediatric patients with neuromuscular diseases in southwestern Colombia.

Open Access
Tatiana Marcela Jiménez Martínez1 ,
Mónica Alexandra Gil Artunduaga2,3,4 ,
Lina Johanna Moreno Giraldo2,3,4

Authors

DOI:

https://doi.org/10.37980/im.journal.ggcl.20242348

Keywords:

Spinal Muscular Atrophy, Duchenne muscular dystrophy, big data, early diagnosis, precision medicine

Abstract

Introduction: Duchenne Muscular Dystrophy (DMD) and Spinal Muscular Atrophy (SMA) are rare but severe genetic neuromuscular diseases in the pediatric population with high burden of morbidity and mortality. Despite advances in their understanding and search for targeted therapeutic options, there are still gaps in timely detection, characterization, patient follow-up, active search for carriers and in some Latin American countries no neonatal screening. Objective: To characterize clinically, paraclinically, imaging and molecularly patients with presumptive and confirmed diagnosis of Duchenne muscular dystrophy (DMD) and Spinal Muscular Atrophy (SMA) attended in a pediatric center of reference and excellence in Southwestern Colombia. Materials and Methods: Observational cross-sectional study in patients under 18 years of age with ICD-10 diagnoses related to DMD and SMA. Data were exported to an Excel matrix in Office 365 version 2403, and then to IBM SPSS version 29 to perform a univariate analysis, measures of central tendency and dispersion were used for numerical variables, considering their distribution, and absolute frequencies and percentages for qualitative variables. Results: After reviewing 954 medical records belonging to a pediatric care center in Southwestern Colombia between 2015 - 2021, 422 cases related to Duchenne Muscular Dystrophy (DMD) and Spinal Muscular Atrophy (SMA) were identified; excluding duplicates and unrelated records, from these, 99 cases were randomly selected for a comprehensive analysis using OpenEpi version 3.01, distributed in two groups: SMA (n=23) and DMD (n=76). Patients confirmed with Duchenne Muscular Dystrophy (DMD) showed symptom onset at 54.5 ± 29.0 months and diagnosis at 98.8 ± 34.9 months, being more common in males with hypotonia and elevated creatin kinase (CK) levels, 54.5% had cognitive impairment and 88. 2% had family history, in Spinal Muscular Atrophy (SMA), the onset of symptoms was at 28.9 ± 37.7 months and diagnosis at 37.9 ± 38.2 months, being predominant in females with areflexia and fasciculations, there were no records of cognitive function in confirmed patients, and 21.7% had family history of SMA, in addition to slight elevations of CK. In the SMA group, 9 cases were molecularly confirmed and 3 were supported by medical records; in contrast, in the DMD group, 22 cases had molecular confirmation, but 9 had annotations in medical records, although these reports were incomplete. Conclusions: Early suspicion and diagnosis of these progressive neurodegenerative diseases characterized by high morbidity and mortality rates is critical to impact the holistic approach patients should receive. Given the continuous advance in diagnostic methods and innovative and targeted therapeutic options (hyperpersonalization medicine), it is necessary to create complete medical-clinical registries and "big data", which have all the current tools available (multimodal diagnostic options) to facilitate patient re-contact, follow-up and to be able to offer personalized, precision care that improves the quality of life of patients and their families, contributing to the generation of integrated and targeted public policies.

×