脊柱骨折伴脊髓损伤患者术中压力性损伤列线图预测模型构建与验证OA
Development and validation of a nomogram for predicting intraoperative pressure injury in patients with spinal fracture and spinal cord injury
目的 探讨脊柱骨折伴脊髓损伤(SCI)患者术中压力性损伤(PI)的影响因素,构建可视化列线图风险预测模型并验证其效能,为临床精准筛查高危个体、制定早期干预策略提供科学工具.方法 选取2022年1月至2024年5月在医院接受治疗的210例脊柱骨折伴SCI患者作为训练集,根据有无发生术中PI分为PI组和无PI组.通过单因素分析和多因素logistic回归分析得出独立影响因素,构建列线图预测模型.另选取2024年6月至2025年6月医院收治的脊柱骨折伴SCI患者90例,将其作为验证集对模型进行验证.结果 训练集中有44例(20.95%)发生术中PI.多因素logistic回归分析显示,手术时间、术中出血量、年龄、合并糖尿病、Braden评分、术前血清白蛋白均为脊柱骨折伴SCI患者术中PI的独立影响因素(均P<0.05).基于以上独立因素构建的预测模型ROC曲线下面积(AUC)为0.862,敏感度为0.705,特异度为0.886,且模型校准曲线一致性较好,校准曲线贴近于标准曲线.Hosmer-Lemeshow拟合优度检验结果显示(x2=7.893,P=0.444.验证集的AUC为0.855,敏感度为0.714,特异度为0.870.结论 脊柱骨折伴SCI患者术中PI列线图风险预测模型展现出较高的预测效能,可帮助医护者有效甄别术中PI的高危个体,为早期干预提供决策参考.
Objective To identify risk factors for intraoperative pressure injury(PI)in patients with spinal frac-ture complicated by spinal cord injury(SCI),and to develop and validate a nomogram-based prediction model for early risk stratification and targeted intervention.Methods A total of 210 patients with spinal fracture and SCI treated be-tween January 2022 and May 2024 were included as the training cohort.Patients were categorized into PI and non-PI groups based on the occurrence of intraoperative PI.Univariate analysis and multivariable logistic regression were per-formed to identify independent risk factors,which were subsequently used to construct a nomogram.An independent vali-dation cohort of 90 patients(June 2024 to June 2025)was used for external validation.Model performance was evaluated using the area under the receiver operating characteristic curve(AUC),sensitivity,specificity,calibration curves,and the Hosmer-Lemeshow goodness-of-fit test.Results In the training cohort,44 patients(20.95%)developed intra-operative PI.Multivariable logistic regression identified operative duration,intraoperative blood loss,age,diabetes melli-tus,Braden score,and preoperative serum albumin as independent predictors of intraoperative PI(all P<0.05).The no-mogram demonstrated good discrimination,with an AUC of 0.862,sensitivity of 0.705,and specificity of 0.886 in the training cohort.Calibration analysis showed good agreement between predicted and observed outcomes.The Hosmer-Lemeshow test indicated adequate model fit(x=7.893,P=0.444).In the validation cohort,the model achieved an AUC of 0.855,sensitivity of 0.714,and specificity of 0.870.Conclusion The nomogram model for predicting intraop-erative pressure injury in patients with spinal fracture and SCI demonstrates good predictive performance and reliability.It may serve as a practical tool for identifying high-risk patients and guiding early preventive strategies in perioperative care.
王梦真;徐凡;姜春平;邵杰
海军军医大学附属长海医院麻醉科(上海 201201)海军军医大学附属长海医院麻醉科(上海 201201)海军军医大学附属长海医院麻醉科(上海 201201)海军军医大学附属长海医院脊柱外科(上海 201201)
医药卫生
脊柱骨折脊髓损伤压力性损伤影响因素列线图
spinal fracturespinal cord injurypressure induced injuryinfluencing factorsnomogram
《广东医学》 2026 (5)
703-711,9
海军军医大学校级课题(2021QN23)
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