Evidence map›Paper›PMID 41029368›Full record

ArticleBMC musculoskeletal disorders2025

Risk factors for increased postoperative drainage in patients undergoing spinal fusion surgery: a retrospective study.

Yongxing Li, Xia Liang, Haoquan Huang, Wenqi Wu, Meihua Lin, Chenxi Liu, Yanni Fu

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Article in BMC musculoskeletal disorders, 2025. 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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5 · Who and what money

Authors and funding

7 authors.

Yongxing Li *Department of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, NO.107 Yanjiang West Road, Yuexiu District, Guangzhou, China.
Xia Liang *Department of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, NO.107 Yanjiang West Road, Yuexiu District, Guangzhou, China.
Haoquan HuangDepartment of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, NO.107 Yanjiang West Road, Yuexiu District, Guangzhou, China.
Wenqi WuDepartment of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, NO.107 Yanjiang West Road, Yuexiu District, Guangzhou, China.
Meihua LinDepartment of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, NO.107 Yanjiang West Road, Yuexiu District, Guangzhou, China.
Chenxi LiuDepartment of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, NO.107 Yanjiang West Road, Yuexiu District, Guangzhou, China.
Yanni FuDepartment of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, NO.107 Yanjiang West Road, Yuexiu District, Guangzhou, China. fuyanni@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adverse events and complications caused by blood loss after spinal surgery have attracted increasing amounts of attention. This retrospective study aimed to identify risk factors for postoperative bleeding and develop predictive models.

methodsThis was a retrospective analysis of patients who underwent spinal fusion surgery between November 2018 and December 2019. Preoperative data were collected, and LASSO regression and multifactor regression analyses were performed to identify risk factors for increased postoperative blood loss. Using the obtained risk factors, a nomogram model was established. The nomogram was evaluated based on the concordance index (C-index), receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and calibration curve analysis.

resultsA total of 434 patients who underwent spinal surgery were included in the study. LASSO regression analysis and multivariate logistic regression analysis revealed that age, cardiovascular disease status, fusion level, use of neuromuscular blockers, peak pressure of mechanical ventilation, and intraoperative blood loss were related to the amount of postoperative drainage. Based on these six risk factors, we developed a nomogram with a C-index of 0.807. The areas under the curve (AUCs) in the training group and the verification group were 0.8155 and 0.7529, respectively, indicating that the established model had good predictive performance. There was good agreement in the calibration curve, and the clinical decision curve showed a significant net benefit after the intervention.

conclusionsWe developed a nomogram model through retrospective analysis, enabling clinicians to predict the likelihood of postoperative blood loss based on risk factors. The risk factors for increased drainage volume after spinal fusion surgery include age, cardiovascular disease status, fusion level, use of neuromuscular blockers, peak pressure of mechanical ventilation, and intraoperative blood loss.

Indexed as

DrainagePostoperative HemorrhageSpinal FusionAdultAgedFemaleHumansMaleMiddle AgedNomogramsRetrospective StudiesRisk FactorsNomogramPostoperative blood lossPredictive modelRisk factorsSpinal surgery

Identifiers

PMID41029368
PMCPMC12481851

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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.