Evidence map›Paper›PMID 39169374›Full record

ArticleBMC musculoskeletal disorders2024

Psoas attenuation is associated with early postoperative complications in geriatric patients undergoing multilevel lumbar fusion surgery for degenerative lumbar spinal stenosis.

Xiaofei Hou, Hailiang Hu, Chao Kong, Sitao Zhang, Wei Wang, Shibao Lu

Abstract read
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Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaofei HouDepartment of Orthopaedics, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Xicheng District, 100053, Beijing, China.
Hailiang HuDepartment of Orthopaedics, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Xicheng District, 100053, Beijing, China.
Chao KongDepartment of Orthopaedics, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Xicheng District, 100053, Beijing, China.
Sitao ZhangDepartment of Orthopaedics, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Xicheng District, 100053, Beijing, China.
Wei WangDepartment of Orthopaedics, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Xicheng District, 100053, Beijing, China.
Shibao LuDepartment of Orthopaedics, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Xicheng District, 100053, Beijing, China. spinelsb@sina.com.

Funding

Chinese Institutes for Medical Research, Beijing CX24PY10R&D Program of Beijing Municipal Education Commission KZ20231002537
6 · The paper itself

Abstract

backgroundMorphometric analysis of the psoas major muscle has shown utility in predicting postoperative morbidity in various surgical fields, but its usefulness in predicting complications in elderly patients undergoing multilevel lumbar fusion surgery has not been studied. The study aimed to investigate if psoas major parameters are independent risk factors of early postoperative complication among elderly patients.

methodsPatients who underwent multilevel lumbar fusion for degenerative lumbar spinal stenosis (DLSS) were included. The psoas major was measured at the lumbar 3/4 intervertebral disc level in three ways on computed tomography image: psoas muscle mass index, mean muscle attenuation, and morphologic change of the psoas major. Early complications were graded using the Clavien-Dindo classification system and the Comprehensive complication index (CCI). A CCI ≥ 26.2 indicated severe complications. Logistic regression was performed to identify independent risk factors.

resultsThis retrospective study reviewed 108 patients (mean age 70.9 years, female to male ratio 1.8:1). Complications were observed in 72.2% of patients, with allogeneic blood transfusion being the most frequent (66.7%), followed by wound infection, acute heart failure (2.8% each). Severe complications occurred in 13.9% of patients. After multivariable regression analysis, those in the lowest psoas muscle attenuation tertile had higher odds of experiencing early postoperative complications (OR: 3.327, 95% CI 1.134-9.763, p = 0.029) and severe complications (OR: 6.964, 95% CI 1.928-25.160, p = 0.003).

conclusionThe psoas muscle attenuation can be used as a predictor of early postoperative complications in elderly patients undergoing multilevel lumbar fusion surgery for DLSS.

Indexed as

Lumbar VertebraePostoperative ComplicationsPsoas MusclesSpinal FusionSpinal StenosisAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTomography, X-Ray ComputedDegenerative lumbar spinal stenosisPostoperative complicationsPsoas major muscleRisk factors

Identifiers

PMID39169374
PMCPMC11340144

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.