Evidence map›Paper›PMID 40226020›Full record

ArticleAmerican journal of translational research2025

Correlation analysis of spine-pelvis parameters and age with lumbar paravertebral muscle degeneration in middle age and older adults.

Wei Xu, Ning Zhang, Jia Li, Xianzhong Meng

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Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Wei XuDepartment of Emergency Surgery, The Second Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, P. R. China.
Ning ZhangDepartment of Ultrasound, The First Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, P. R. China.
Jia LiDepartment of Spine Surgery, The Third Hospital of Hebei Medical University Shijiazhuang 050051, Hebei, P. R. China.
Xianzhong MengDepartment of Spine Surgery, The Third Hospital of Hebei Medical University Shijiazhuang 050051, Hebei, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the correlation between spine-pelvis parameters, age and lumbar paravertebral muscle degeneration in middle-aged and older adults.

methodThis retrospective study involved 143 middle-aged and elderly patients with suspected lumbar paravertebral muscle degeneration treated at The Third Hospital of Hebei Medical University between January 2021 and June 2023. Based on confirmed diagnoses, patients were divided into a degenerative group (57 cases) and a non-degenerative group (86 cases). Clinical data were analyzed to explore the relationship between pelvic parameters, age, and lumbar paravertebral muscle degeneration. Univariate and multivariate logistic regression were used to identify risk factors, and Receiver Operating Characteristic (ROC) analysis was performed to evaluate the predictive value of these factors. Differences in areas under the curve (AUC) for clinical factors were assessed using the DeLong test.

resultNo significant differences were found between the two groups in clinical data, except for age (P<0.05). Comparison of spine-pelvis parameters revealed that the pelvic tilt (PT) and pelvic incidence (PI) were significantly higher in the degenerative group than those in the non-degenerative group, while the sacral slope (SS) and lumbar lordosis (LL) were lower (all P<0.05). Additionally, the CSA ratios between the third and fourth lumbar vertebrae (L3/4) and between the fourth and fifth lumbar vertebrae (L4/5) were found to be significantly lower in the degenerative group as opposed to those in the non-degenerative group (all P<0.05). Kendall's analysis showed that age and spine-pelvis parameters (PT, PI) were positively correlated with lumbar paravertebral muscle degeneration (OR=0.733, 0.639, 0.695; P<0.0001). In contrast, spine-pelvic parameters (SS, LL) were negatively correlated with degeneration (OR=-0.695, -0.698; P<0.0001). Pearson's correlation analysis also revealed a positive correlation between age and spine-pelvic parameters (PT, PI) (r=0.826, 0.985, P<0.001), and a negative correlation between age and spine-pelvic parameters (SS, LL) (r=-0.861, -0.942, P<0.001). Additionally, spine-pelvic parameter PT was negatively correlated with CAS ratio of L3/4 disc levels (r=-0.412, P<0.000). Logistic multivariate regression analysis identified age (OR=0.616,

conclusionLumbar paravertebral muscle degeneration in middle-aged and elderly individuals is significantly associated with both age and spine-pelvic parameters. These findings suggest that degeneration is not only age-related but also influenced by spine-pelvic configuration, providing a clinical basis for preventing lumbar paravertebral muscle degeneration.

Indexed as

correlation analysislumbar paravertebral muscle degenerationOlder adultspelvic parametersspine

Identifiers

PMID40226020
PMCPMC11982840

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