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Incidence and Predictive Factors of New Onset Postoperative Sacroiliac Joint Pain After Posterior Lumbar Fusion Surgery for Degenerative Lumbar Disease – Lumbar Fusion

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The article presents a study that aimed to explore the incidence and predictive factors of new onset postoperative sacroiliac joint pain (PSJP) after posterior lumbar fusion surgery for degenerative lumbar disease. The researchers analyzed 367 patient medical records and divided the patients into two groups: PSJP group and N-PSJP (non-postoperative sacroiliac joint pain group). They assessed HU value on CT scans and used ImageJ software to assess the fat and muscle of the lumbar multifidus muscle (LMM) in the axial MRI image. Surgical variables and radiographic parameters were also analyzed. The results showed that 5.4% of patients experienced PSJP, and predictive factors included preoperative severe infiltration of LMM, distal fusion level at sacrum, and higher HU value

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Published article

: PSJP for degenerative lumbar disease was 5.4%, the predictive factors included preoperative severe infiltration of LMM, distal fusion level at sacrum and higher HU value.

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J Pain Res. 2023 Dec 14;16:4291-4299. doi: 10.2147/JPR.S431197. eCollection 2023.ABSTRACTINTRODUCTION: To explore the incidence and predictive factors of new onset postoperative sacroiliac joint pain (PSJP) after posterior lumbar fusion surgery for degenerative lumbar disease.METHODS: Three hundred and sixty-seven patient medical records from January 2020 to December 2021 were retrieved. The patients were divided into two,

J Pain Res. 2023 Dec 14;16:4291-4299. doi: 10.2147/JPR.S431197. eCollection 2023.

ABSTRACT

INTRODUCTION: To explore the incidence and predictive factors of new onset postoperative sacroiliac joint pain (PSJP) after posterior lumbar fusion surgery for degenerative lumbar disease.

METHODS: Three hundred and sixty-seven patient medical records from January 2020 to December 2021 were retrieved. The patients were divided into two groups: PSJP group and N-PSJP (non-postoperative sacroiliac joint pain group). To investigate potential risk factors for PSJP, HU value (Hounsfield unit value) was assessed on CT scans. ImageJ software was used to assess the fat and muscle of the lumbar multifidus muscle (LMM) in the axial MRI image, the red area was marked as fat and the rest were muscles to calculate the ratio of fatty infiltration. Patient characteristics, surgical variables and radiographic parameters were analyzed statistically.

RESULTS: Twenty of 367 patients were diagnosed with PJSP at postoperative follow-up. Patients with PSJP presented with significantly higher HU value. For surgical variables, PSJP patients received more operations including distal fusion level at sacrum than the N-PSJP group. For radiographic parameters, most of the patients in the PSJP group had more severe fatty atrophic muscle in the LMM compared to the N-PSJP group. There was no statistically significant difference between the two groups in preoperative and postoperative lumbar lordosis (LL), angle of lumbar lordosis of fixed lumbar vertebrae (FV-LL), pelvic incidence (PI), sacrum slope (SS). The bivariate logistic regression model revealed preoperative fat infiltration rate of the LMM, and higher HU value were independently associated with PSJP.

: PSJP for degenerative lumbar disease was 5.4%, the predictive factors included preoperative severe infiltration of LMM, distal fusion level at sacrum and higher HU value.

PMID:38111748 | PMC:PMC10726953 | DOI:10.2147/JPR.S431197

The London Spine Unit : most established spine centre in the world

Read the original publication:

Incidence and Predictive Factors of New Onset Postoperative Sacroiliac Joint Pain After Posterior Lumbar Fusion Surgery for Degenerative Lumbar Disease

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J Pain Res. 2023 Dec 14;16:4291-4299. doi: 10.2147/JPR.S431197. eCollection 2023.ABSTRACTINTRODUCTION: To explore the incidence and predictive factors of new onset postoperative sacroiliac joint pain (PSJP) after posterior lumbar fusion surgery for degenerative lumbar disease.METHODS: Three hundred and sixty-seven patient medical records from January 2020 to December 2021 were retrieved. The patients were divided into two

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