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Background: The pathogenesis of paraspinal degeneration and sarcopenia, which is characterized by the decrease in generalized muscle quality and quantity, may be different in patients with lumbar degenerative diseases (LDD). In addition, the impact of them on the clinical features of LDD and their interaction are still unclear.
Purpose: To investigate the impact of generalized and spine-specific sarcopenia on the clinical features of patients with LDD and further examine the mediating role of paraspinal muscles STUDY DESIGN: A retrospective analysis of a prospective, nonrandomized cohort dataset.
Patient Sample: A total of 285 patients with LDD aged over 50 years were enrolled.
Outcome Measures: Sarcopenia was defined when low appendicular muscle mass was present in combination with low muscle strength or low physical performance, and spine-specific sarcopenia was designated below the gender median value of the total rfCSA of the MF at the L3/4-L5/S1 levels. Demographic variables and clinical features including reported outcome measures, spine sagittal parameters, paraspinal muscle parameters and imaging grading system.
Methods: Difference analysis was used to compare the differences between groups in demographic variables and clinical features. Linear regression models were used to evaluate the association between spine-specific and generalized sarcopenia and clinical features. Additionally, mediation analysis was employed to explore the role of paraspinal muscles in the pathway through which generalized sarcopenia affects clinical features.
Results: The generalized-sarcopenia patients exhibited significantly higher scores for VAS-back (p=.03), VAS-leg (p=.038), ODI (p<.001), SVA (p=.011) and tPfirrmann (p<.001), while significantly lower scores were observed for JOA (p=.001), TK (p<.001), LL (p=.005), and tDHI (p=.002). In the subsequent analysis, 36 of subjects were in the SSGS (spine-specific and generalized sarcopenia) group, 123 were in the NSSNGS (non-spine-specific and nongeneralized sarcopenia) group, 19 were in the NSSGS group and 107 were in the SSNGS group. Compared to the NSSNGS group, the SSGS group exhibited significantly lower JOA scores (p<.001), higher ODI scores (p=.003), reduced TK (p=.005), reduced LL (p=.005), increased SVA (p<.001), and a significantly higher tPfirrmann grading (p=.002). In Multiple linear regression analysis, the NSSNGS group exhibited significantly higher JOA, TK, LL, and tDHI values, with increases of 4.15 (p<.001), 8.87 (p<.001), 14.14 (p<.001), and 0.11 (p=.012) times than SSGS group, respectively, along with significantly lower ODI (B=-11.44, p=.006), SVA (B =-44.96, p<.001), and tPfirrmann grading (B=-2.29, p=.001). The mediation analysis indicated that paraspinal muscles play an important role in the association between generalized sarcopenia and LL (effect size=-1.330, 95% CI: -2.748, -0.304), as well as tPfirrmann grading (effect size=0.246, 95% CI: 0.458, 0.524).
Conclusions: Sarcopenia has an adverse impact on the clinical characteristics of LDD patients, particularly when both generalized and paraspinal degeneration coexist. It's important to highlight the significant role of paraspinal muscles, as well as the various mechanisms involved, in the relationship between sarcopenia and clinical features.
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http://dx.doi.org/10.1016/j.spinee.2025.04.013 | DOI Listing |
Eur J Radiol
September 2025
Department of Radiology, Affiliated Hospital of Hebei University, Baoding 071000, China. Electronic address:
Purpose: The present study aimed to develop a noninvasive predictive framework that integrates clinical data, conventional radiomics, habitat imaging, and deep learning for the preoperative stratification of MGMT gene promoter methylation in glioma.
Materials And Methods: This retrospective study included 410 patients from the University of California, San Francisco, USA, and 102 patients from our hospital. Seven models were constructed using preoperative contrast-enhanced T1-weighted MRI with gadobenate dimeglumine as the contrast agent.
Pathol Res Pract
September 2025
Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China. Electronic address:
Background: Dermal clear cell sarcoma (DCCS) is a rare malignant mesenchymal neoplasm. Owing to the overlaps in its morphological and immunophenotypic profiles with a broad spectrum of tumors exhibiting melanocytic differentiation, it is frequently misdiagnosed as other tumor entities in clinical practice. By systematically analyzing the clinicopathological characteristics, immunophenotypic features, and molecular biological properties of DCCS, this study intends to further enhance pathologists' understanding of this disease and provide a valuable reference for its accurate diagnosis.
View Article and Find Full Text PDFEur J Gastroenterol Hepatol
September 2025
Department of Gastroenterology, First Affiliated Hospital of Shantou University Medical College, Shantou.
Background: Crohn's disease (CD) and rheumatoid arthritis (RA) are autoimmune diseases. CD is known to be closely associated with RA. However, the mechanisms underlying these relationships remain unclear.
View Article and Find Full Text PDFN Engl J Med
September 2025
Rwanda Biomedical Center, Kigali.
Background: On September 27, 2024, Rwanda reported an outbreak of Marburg virus disease (MVD), after a cluster of cases of viral hemorrhagic fever was detected at two urban hospitals.
Methods: We report key aspects of the epidemiology, clinical manifestations, and treatment of MVD during this outbreak, as well as the overall response to the outbreak. We performed a retrospective epidemiologic and clinical analysis of data compiled across all pillars of the outbreak response and a case-series analysis to characterize clinical features, disease progression, and outcomes among patients who received supportive care and investigational therapeutic agents.
J Cataract Refract Surg
July 2025
Department of Ophthalmology, West China Hospital of Sichuan University, Chengdu City, Sichuan Province, China.
Purpose: To develop and validate a multimodal deep-learning model for predicting postoperative vault height and selecting implantable collamer lens (ICL) sizes using Anterior Segment Optical Coherence Tomography (AS-OCT) and Ultrasound Biomicroscope (UBM) images combined with clinical features.
Setting: West China Hospital of Sichuan University, China.
Design: Deep-learning study.