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骨质疏松性胸腰椎骨折患者经皮椎体后凸成形术后便秘风险预测模型的构建及验证

Construction and Validation of a Risk Prediction Model for Postoperative Constipation in Patients With Osteoporotic Thoracolumbar Fracture Undergoing Percutaneous Kyphoplasty

  • 摘要:
    目的 构建骨质疏松性胸腰椎骨折(osteoporotic thoracolumbar fracture, OTLF)患者经皮椎体后凸成形(percutaneous kyphoplasty, PKP)术后便秘的风险预测工具。
    方法 选取2020年1月–2024年12月858例PKP术后的OTLF患者,随后将患者依照7∶3的比例分为训练集(n=600)和验证集(n=258)。根据患者术后是否便秘,将训练集分为便秘组(n=205)与无便秘组(n=395),将验证集分为便秘组(n=90)与无便秘组(n=168)。logistic回归分析OTLF患者PKP术后便秘的影响因素,并构建列线图模型,绘制该模型受试者工作特征(recciver operating characteristic, ROC)曲线和校准曲线,行Hosmer-Lemeshow拟合优度检验。
    结果 训练集有205例(34.17%)、验证集有90例(34.88%)OTLF患者PKP术后出现便秘。单因素分析显示,便秘组与无便秘组患者手术时间、术后饮水量、术后首次进食时间、术后卧床时间、双歧杆菌、乳酸菌、肠球菌、肠杆菌、NRS2002、钠、钾以及HbA1c水平差异存在统计学意义(P<0.05);LASSO回归进一步筛选出手术时间、术后首次进食时间、双歧杆菌、乳酸菌、肠球菌、肠杆菌、NRS2002、钠、钾、HbA1c作为候选预测因素;多因素logistic分析显示:术后首次进食时间、双歧杆菌、乳酸菌、NRS2002、钠、HbA1c是OTLF患者PKP术后便秘的影响因素(P<0.05);ROC曲线分析显示,训练集曲线下面积(area under the curve, AUC)为0.842〔95%置信区间(confidence interval, CI):0.793~0.892〕,验证集AUC为0.860(95%CI:0.830~0.889);校准曲线提示训练集与验证集的预测曲线与标准曲线基本拟合。
    结论 术后首次进食时间、双歧杆菌、乳酸菌、NRS2002、钠、HbA1c水平是OTLF患者PKP术后便秘的影响因素,基于上述因素构建的列线图模型具有一定效能。

     

    Abstract:
    Objective To develop an instrument for predicting postoperative constipation risks in patients with osteoporotic thoracolumbar fracture (OTLF) who have undergone percutaneous kyphoplasty (PKP).
    Methods A total of 858 OTLF patients who underwent PKP surgery between January 2020 and December 2024 were enrolled. The patients were randomly assigned to a training set (n = 600) and a validation set (n = 258) in a 7∶3 ratio. According to whether the patients had postoperative constipation, the training set was divided into a constipation group (n = 205) and a non-constipation group (n = 395), and the validation set was divided into a constipation group (n = 90) and a non-constipation group (n = 168). Logistic regression analysis was conducted to analyze the factors influencing postoperative constipation in OTLF patients after PKP, and a nomogram model was constructed accordingly. The receiver operating characteristic (ROC) curve and the calibration curve of the model were plotted, and the Hosmer-Lemeshow test for goodness of fit was performed.
    Results A total of 205 OTLF patients (34.17%) in the training set and 90 OTLF patients (34.88%) in the validation set experienced constipation after PKP. Univariate analysis revealed significant differences between the constipation and non-constipation groups in terms of operative time, postoperative water intake, time to first postoperative meal, postoperative bed rest time, the levels of Bifidobacterium, Lactobacillus, Enterococcus, and Enterobacter, the Nutrition Risk Screening 2002 (NRS-2002) score, and the levels of sodium, potassium, and HbA1c (P < 0.05). Least absolute shrinkage and selection operator (LASSO) regression was performed and operative time, time to first postoperative meal, the levels of Bifidobacterium, Lactobacillus, Enterococcus, and Enterobacter, the NRS-2002 score, and the levels of sodium, potassium, and HbA1c were identified as candidate predictors. Multivariate logistic analysis showed that the time to first postoperative meal, the levels of Bifidobacterium and Lactobacillus, the NRS-2002 score, and the levels of sodium and HbA1c were influencing factors of postoperative constipation in OTLF patients (P < 0.05). The ROC curves showed that the area under the curve (AUC) of the training set was 0.842 (95% CI: 0.793-0.892), while that of the validation set was 0.860 (95% CI: 0.830-0.889). The calibration curves demonstrated good agreement between the prediction curve and the standard curve in both the training set and the validation set.
    Conclusion The time to the first postoperative meal, the NRS2002 score, and the levels of Bifidobacterium, Lactobacillus, sodium, and HbA1c are influencing factors of post-PKP constipation in OTLF patients. The nomogram model built based on these factors exhibited good predictive performance.

     

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