Literature DB >> 35106128

Spinal health in 40 patients in the initial stage of laboural life. Morfogeometric, biological and environmental study.

José Vicente Martínez Quiñones1, José Aso Escario1, Cristina Sebastián Sebastián2, Ignacio Bares Fernández2, Fabián Consolini Rossi1, Ricardo Arregui Calvo1.   

Abstract

INTRODUCTION: Assuming that spinal shape is a genetic expression, its analysis and acquired factors could assess their respective contribution to early spine deterioration.
MATERIAL AND METHODS: A geometric morphometric analysis was retrospectively performed on sagittal lumbar MRI of young patients with back pain to identify lumbar spine shape changes. Using Geometric Morphometrics, findings were analyzed with anthropometric, radiological, and clinical variables.
RESULTS: 80 cases under 26 years of age were collected, 55 men (mean age 22.81) and 25 women (mean age 23.24). MRI abnormalities were reported in 57.5%: single altered disc (N=17), root compromises (N=8), and transition anomalies (35%).In the non-normal MRI subgroup, shape variation included: increased lordosis, enlarged vertebral body, canal stenosis, and lumbarization of S1. In non-Spanish origin patients, lumbar straightening and segmental deformities were prevalent. Morphometrics findings showed that lumbosacral transition anomalies are frequently underreported.
CONCLUSIONS: Genetic factors could be the main determinants of abnormality in MRIs under 26 years. The primary markers are transitional abnormalities, segmental deformities, and canal stenosis. In foreign populations, shape changes could suggest spine overload at an early age.

Entities:  

Keywords:  Genetics; Morphometrics; lumbar spine shape changes; spine

Year:  2021        PMID: 35106128      PMCID: PMC8801549          DOI: 10.52965/001c.30169

Source DB:  PubMed          Journal:  Orthop Rev (Pavia)        ISSN: 2035-8164


  26 in total

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Journal:  Radiology       Date:  1990-11       Impact factor: 11.105

Review 2.  Inferring the effect of genomic variation in the new era of genomics.

Authors:  Samya Chakravorty; Madhuri Hegde
Journal:  Hum Mutat       Date:  2018-04-22       Impact factor: 4.878

Review 3.  Scientific approach to the assessment and management of activity-related spinal disorders. A monograph for clinicians. Report of the Quebec Task Force on Spinal Disorders.

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Journal:  Spine (Phila Pa 1976)       Date:  1987-09       Impact factor: 3.468

Review 4.  A Systematic Review and Meta-Analysis of the Global Burden of Chronic Pain Without Clear Etiology in Low- and Middle-Income Countries: Trends in Heterogeneous Data and a Proposal for New Assessment Methods.

Authors:  Tracy Jackson; Sarah Thomas; Victoria Stabile; Matthew Shotwell; Xue Han; Kelly McQueen
Journal:  Anesth Analg       Date:  2016-09       Impact factor: 5.108

5.  Magnetic resonance classification of lumbar intervertebral disc degeneration.

Authors:  C W Pfirrmann; A Metzdorf; M Zanetti; J Hodler; N Boos
Journal:  Spine (Phila Pa 1976)       Date:  2001-09-01       Impact factor: 3.468

Review 6.  Understanding the molecular biology of intervertebral disc degeneration and potential gene therapy strategies for regeneration: a review.

Authors:  Prasanthi Sampara; Rajkiran Reddy Banala; Satish Kumar Vemuri; Gurava Reddy Av; Subbaiah Gpv
Journal:  Gene Ther       Date:  2018-03-22       Impact factor: 5.250

7.  Cumulative incidence of lumbar disc diseases leading to hospitalization up to the age of 28 years.

Authors:  P Zitting; P Rantakallio; H Vanharanta
Journal:  Spine (Phila Pa 1976)       Date:  1998-11-01       Impact factor: 3.468

8.  Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.

Authors: 
Journal:  Lancet       Date:  2016-10-08       Impact factor: 79.321

Review 9.  The prevalence of low back pain in Africa: a systematic review.

Authors:  Quinette A Louw; Linzette D Morris; Karen Grimmer-Somers
Journal:  BMC Musculoskelet Disord       Date:  2007-11-01       Impact factor: 2.362

10.  A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape.

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Journal:  Nat Commun       Date:  2016-11-23       Impact factor: 14.919

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