• Eur Spine J · Jul 2021

    Prevalence of congenital scoliosis in infants based on chest-abdomen X-ray films detected in the emergency department.

    • Fei Wang, Xin Wang, Omar Medina, Ming Yong, Gang Lin, Xiangshui Sun, Zhiqun Zhang, Kai Tang, and Yue Lou.
    • Department of Orthopedic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China.
    • Eur Spine J. 2021 Jul 1; 30 (7): 1848-1857.

    PurposeTo investigate the prevalence of congenital scoliosis (CS) in infants based on chest-abdomen radiographs.MethodsA retrospective review was conducted on infants in the emergency department (ED) of a tertiary children's hospital between February 2008 and September 2019. Patients who had undergone chest-abdomen X-rays were included. All films from the enrolled patients were screened for CS. Their demographic characteristics, type, and location of the vertebral and rib anomalies, and concomitant defects of other systems were analyzed.ResultsIn total, 50,426 infants were enrolled; 89 (1.8‰) were diagnosed with CS, including 56 males and 33 females. There was no gender difference in CS prevalence. The visiting age of the CS patients (70 ± 98days) was significantly younger than that of the non-CS group (P < 0.05), with CS patients mainly visiting for digestive (53.9%) and respiratory symptoms (41.6%). Sixty-eight (76.4%) CS patients had main thoracic (T6-T11) vertebral malformations. Rib anomalies were documented in 27 (30.3%) patients, of which 14 had complex rib anomalies. Forty (44.9%) patients had concomitant defects of other organs, of which eight patients had two systemic abnormalities mixed. The most common extraspinal defects were imperforate anus (21, 23.6%) and congenital cardiac defects (17, 19.1%).ConclusionThe prevalence of CS in infants based on chest-abdomen X-rays in the ED was 1.8‰. Both the vertebral and rib anomalies mainly affected the main thoracic region. The spine deformities in infants with concomitant defects of other organs could be identified earlier because of early-onset symptoms, which also bring out a selection bias in our analysis.© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.

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