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Self-reported pain scores as a predictor of preterm birth in symptomatic twin pregnancy: a retrospective study
Cited 1 time in
Web of Science
Cited 1 time in Scopus
- Authors
- Issue Date
- 2021-07-01
- Publisher
- BMC
- Citation
- BMC Pregnancy and Childbirth. 2021 Jul 01;21(1):472
- Keywords
- Preterm labor ; Preterm birth ; Self-reporting pain score ; Numerical rating scale pain score ; Symptomatic twin pregnancy ; Fetal fibronectin ; Cervical length
- Abstract
- Background
To evaluate the self-reported pain scores as a predictor of preterm birth (PTB) in symptomatic twin pregnancy and to develop a nomogram for the prediction model.
Methods
We conducted a retrospective study of 148 cases of symptomatic twin pregnancies before 34 weeks of gestation visited at Seoul national university hospital from 2013 to 2018. With other clinical factors, self-reported pain score was evaluated by the numerical rating scale (NRS) pain scores for pain intensity. By multivariate analyses and logistic regression, we developed a prediction model for PTB within 7 days. Using the Cox proportional hazards model, the curves were plotted to show the predictability of the PTB according to NRS pain score, while adjusting the other covariates.
Results
Twenty-three patients (15.5 %) delivered preterm within 7 days. By a logistic regression analysis, higher NRS pain score (OR 1.558, 95 % CI 1.093–2.221, P < 0.05), shorter cervical length (OR 3.164, 95 % CI 1.262–7.936, P < 0.05) and positive fibronectin results (OR 8.799, 95 % CI 1.101–70.330, P < 0.05) affect PTB within 7 days. Using the variables, the area under the receiver operating characteristic curve (AUROC) of the prediction model was 0.917. In addition, we developed a nomogram for the prediction of PTB within 7 days.
Conclusions
Self-reported pain scores combined with cervical length and fetal fibronectin are useful in predicting impending PTB in symptomatic twin pregnancy.
- ISSN
- 1471-2393
- Language
- English
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