Chen Huijun, Lin Yanhong, Cai Yueyun, Liao Jianmei
Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou 363000, China (H.C., Y.L., J.L.).
Department of Reproductive Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou 363000, China (Y.C.).
Acad Radiol. 2025 Feb;32(2):899-906. doi: 10.1016/j.acra.2024.10.041. Epub 2024 Nov 8.
This study aimed to develop a risk prediction model for low back pain (LBP) using high-frequency ultrasound to measure rectus abdominis muscle activity in postpartum women.
This study included 197 pregnant women who delivered at our hospital and underwent routine postpartum follow-up. High-frequency ultrasound was used to assess the inter-rectus distance, thickness, and elasticity of the rectus abdominis muscle. Follow-up data were collected until six months after delivery, including information on LBP and exercise. Statistical analysis was performed to identify independent risk factors for postpartum LBP and build a risk prediction model.
Univariate and multivariate logistic regression analyses revealed that rectus abdominis thickness and exercise were significant independent factors associated with postpartum LBP. There was no significant correlation between rectus abdominis diastasis, body mass index (BMI), or LBP. The risk prediction model corresponding to the minimum AIC value (205.19) was Y= 8.16-1.13 ×thickness of the rectus abdominis-3.09 ×exercise. The ROC curve indicated that the optimal diagnostic cut-off value of the prediction model was 0.314, with an area under the curve (AUC) of 0.813. The sensitivity, specificity, positive and negative predictive values, and accuracy were 62.0%, 78.0%, 65.3%, 75.4%, and 71.6%, respectively.
A risk prediction model for postpartum LBP built using high-frequency ultrasound measurements of the rectus abdominis muscle may accurately predict postpartum LBP during the early postpartum period.
本研究旨在利用高频超声测量产后女性腹直肌活动，开发一种用于预测下背痛（LBP）的风险预测模型。
本研究纳入了197名在我院分娩并接受常规产后随访的孕妇。使用高频超声评估腹直肌的肌间隙距离、厚度和弹性。收集产后六个月的随访数据，包括有关下背痛和运动的信息。进行统计分析以确定产后下背痛的独立危险因素，并建立风险预测模型。
单因素和多因素逻辑回归分析显示，腹直肌厚度和运动是与产后下背痛相关的显著独立因素。腹直肌分离、体重指数（BMI）与下背痛之间无显著相关性。对应最小AIC值（205.19）的风险预测模型为Y = 8.16 - 1.13×腹直肌厚度 - 3.09×运动。ROC曲线表明，预测模型的最佳诊断临界值为0.314，曲线下面积（AUC）为0.813。敏感性、特异性、阳性和阴性预测值以及准确性分别为62.0%、78.0%、65.3%、75.4%和71.6%。
利用高频超声测量腹直肌建立的产后下背痛风险预测模型，可能在产后早期准确预测产后下背痛。
