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剖宫产术后产妇疼痛灾难化预测模型的构建与验证

石国琴 洪婷 周朗 潘燕娟

中国当代医药2025,Vol.32Issue(22):24-28,5.
中国当代医药2025,Vol.32Issue(22):24-28,5.DOI:10.3969/j.issn.1674-4721.2025.22.05

剖宫产术后产妇疼痛灾难化预测模型的构建与验证

Construction and verification of the prediction model of pain catastro-phization in puerpera after cesarean section

石国琴 1洪婷 1周朗 1潘燕娟2

作者信息

  • 1. 江西省九江市第一人民医院妇产科,江西九江 332000
  • 2. 江西省九江市第一人民医院内镜室,江西九江 332000
  • 折叠

摘要

Abstract

Objective To analyze the influencing factors of pain catastrophization in puerpera after cesarean section and build a nomogram prediction model.Methods A total of 210 puerpera who underwent cesarean section in Jiujiang NO.1 People's Hospital from June 2022 to October 2024 were selected as the study objects.A simple random sampling method was used to divide the modeling group(150 cases)and the verification group(60 cases)according to the ratio of 7∶3.The modeling group was divided into occurrence group(n=65)and non-occurrence group(n=85),and the verification group was divided into occurrence group(n=25)and non-occurrence group(n=35).Multivariate logistic regression analysis was used to screen the influencing factors,and R software"rms"package was used to construct the nomogram prediction model.Results The results of univariate analysis showed that there were statistically significant differences in the first pregnancy,preoperative anxiety,preoperative depression,family function,sleep quality and operation time between the occurrence group and the non-occurrence group(P<0.05).The results of multivariate analysis indicated that family function(β=1.688,OR=5.409,95%CI:1.607-18.206),sleep quality(β=1.156,OR=3.177,95%CI:1.303-7.748),operation time(β=1.068,OR=2.910,95%CI:1.327-6.379),preoperative anxiety(β=1.350,OR=3.859,95%CI:1.472-10.114),preoperative depression(β=1.194,OR=3.302,95%CI:1.055-10.333)were independent risk factors for the pain catastrophization in puerpera after cesarean section(P<0.05).The calibration curve showed that the C index of the Nomogram prediction model was 0.832(0.769-0.892),and the calibration curve was close to the ideal curve.Conclusion The nomogram prediction model constructed in this study can provide important strategic guidance for predicting and evaluating the pain catastrophization in puerpera after cesarean section.

关键词

剖宫产/产妇/疼痛灾难化/列线图

Key words

Cesarean section/Puerpera/Pain catastro-phization/Nomogram

分类

医药卫生

引用本文复制引用

石国琴,洪婷,周朗,潘燕娟..剖宫产术后产妇疼痛灾难化预测模型的构建与验证[J].中国当代医药,2025,32(22):24-28,5.

基金项目

江西省卫生健康委科技计划项目(202311495). (202311495)

中国当代医药

1674-4721

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