Evidence map›Paper›PMID 41442039›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026

Unraveling risk factors for multiple debridements in postoperative spinal infections: insights from a retrospective cohort study.

Yuzhe Zeng, Xiaoyang Hu, Lingling Zhu, Taoyi Cai, Bin Lin

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Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

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5 authors.

Yuzhe ZengDepartment of Orthopedics, The 909th Hospital, School of Medicine, Xiamen University, Xiamen University, Zhangzhou, China. yuzhezeng@foxmail.com.
Xiaoyang HuDepartment of Orthopedics, The 909th Hospital, School of Medicine, Xiamen University, Xiamen University, Zhangzhou, China.
Lingling ZhuDepartment of Orthopedics, The 909th Hospital, School of Medicine, Xiamen University, Xiamen University, Zhangzhou, China.
Taoyi CaiDepartment of Orthopedics, The 909th Hospital, School of Medicine, Xiamen University, Xiamen University, Zhangzhou, China. ctyi175@163.com.
Bin LinDepartment of Orthopedics, The 909th Hospital, School of Medicine, Xiamen University, Xiamen University, Zhangzhou, China. linbin813@163.com.

Funding

Natural Science Foundation of Fujian Province of China 2021J01546Natural Science Foundation of Fujian Province of China 2024J011576Natural Science Foundation of Fujian Province of China 2025J01315Natural Science Foundation of Zhangzhou of China ZZ2020J16
6 · The paper itself

Abstract

purposeThis study aimed to identify independent risk factors for requiring multiple debridements in patients with postoperative spinal infections and to assess their clinical implications for management.

methodsWe conducted a retrospective cohort study of 135 patients who developed postoperative spinal infections at a single institution between 2014 and 2024. Data on demographic variables, comorbidities, surgical factors, infection characteristics, and laboratory markers were collected. Predictors for multiple debridements were identified using univariate and multivariable logistic regression, followed by nomogram construction. Kaplan-Meier survival analysis was employed to evaluate the relationship between the timing of debridement and clinical outcomes.

results37 patients (27.4%) required multiple debridements. Independent predictors included incision fat thickness (OR = 1.29; 95% CI:1.16–1.44, p < 0.001), MRSA positivity (OR = 3.48; 95% CI:1.01–12.02, p = 0.048), and postoperative albumin (OR = 0.86; 95% CI:0.75–0.98, p = 0.035). The nomogram integrating these parameters achieved high discrimination (AUC = 0.886; 81.5% accuracy). Patients requiring multiple debridements had prolonged hospitalization (52.75 vs. 20.27 days, p < 0.001), higher fixation failure (48.6% vs. 6.1%, p < 0.001), and reduced infection resolution (8.1% vs. 100%, p < 0.001). Debridement timing (≤ 3/7 days) showed no association with outcomes (p = 0.096).

conclusionIncision fat thickness and MRSA positivity were independent risk factors for multiple debridements in postoperative spinal infections, while higher postoperative albumin conferred protection. The nomogram provides a practical framework for clinicians to identify high-risk patients. This identification could potentially guide more vigilant monitoring and aggressive preventative strategies.

Indexed as

DebridementSurgical Wound InfectionAgedFemaleHumansMaleMiddle AgedNomogramsRetrospective StudiesRisk FactorsMultiple debridementsNomogramPostoperative spinal infectionRisk factorsSurgical site infection

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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.