Construction of a Predictive Model for Postoperative Residual Pain in OVCF Patients Following PKP Based on Hematological Indicators
杨森 1何雨欣 2姜为民 1刘义杰1
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作者信息
1. 苏州大学附属第四医院,苏州市独墅湖医院,江苏 苏州 215123
2. 苏州大学附属第一医院,江苏 苏州 215006
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摘要
目的 基于血液学指标建立骨质疏松性椎体压缩性骨折(osteoporotic vertebral compression fracture,OVCF)患者经皮椎体后凸成形术(percutaneous kyphoplasty,PKP)术后残余痛的预测模型.方法 回顾性研究2023年6月—2024年6月接受PKP手术治疗的OVCF患者,记录并分析患者性别、年龄、骨密度(bone mineral density,BMD)、术前及术后疼痛视觉模拟评分(visual analogue scale,VAS)及16项血液学指标,进行多因素Logistic回归构建OVCF患者PKP术后残余痛的预测模型.结果 高龄、低BMD和高血小板/淋巴细胞比值(platelet to lymphocyte ratio,PLR)是OVCF患者PKP术后残余痛的独立危险因素.基于以上结果建立的预测模型具有较高的评估效能.结论 高龄、低BMD和高PLR的OVCF患者PKP术后更易出现残余痛,基于以上结果建立预测模型可以更好地预测OVCF患者PKP术后残余痛的发生,及时进行干预和治疗.
Abstract
Objective To establish a predictive model for postoperative residual pain in patients with osteoporotic vertebral compression fractures(OVCF)following percutaneous kyphoplasty(PKP)based on hematological parameters.Methods A retrospective study was conducted on OVCF patients who underwent PKP from June 2023 to June 2024.Data on patient demographics,including gender,age,bone mineral density(BMD),preoperative and postoperative visual analogue scale(VAS)scores for pain,and 16 hematological indicators were recorded and analyzed.A multifactorial logistic regression was employed to construct the predictive model for postoperative residual pain in OVCF patients.Results Advanced age,low BMD,and a high platelet to lymphocyte ratio(PLR)were identified as independent risk factors for postoperative residual pain in OVCF patients.The predictive model developed from these findings demonstrated a high evaluative efficacy.Conclusion OVCF patients who are older,exhibit low BMD,and have a high PLR are more susceptible to residual pain following PKP.The predictive model established from these results can effectively forecast the occurrence of postoperative residual pain in OVCF patients,facilitating timely intervention and treatment.
关键词
血液学指标/骨质疏松性椎体压缩性骨折/残余痛/预测模型
Key words
hematological indicators/osteoporotic vertebral compression fractures/residual pain/predictive model
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