Self-reported Pain Scores As a Predictor of Preterm Birth in Symptomatic Twin Pregnancy: a Retrospective Study

Overview

Journal BMC Pregnancy Childbirth

Publisher Biomed Central

Specialty Gynecology & Obstetrics

Date 2021 Jul 2

PMID 34210286

Citations 2

Authors

Ji Hoi Kim

Seung Mi Lee

Sungyoung Lee

So Yeon Kim

Hye Jeong Hue

Chan-Wook Park

Joong Shin Park

Jong Kwan Jun

Affiliations

Soon will be listed here.

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.

Citing Articles

Development and validation of a prediction model on spontaneous preterm birth in twin pregnancy: a retrospective cohort study.

Yang X, Zhong Q, Li L, Chen Y, Tang C, Liu T Reprod Health. 2023; 20(1):187.

PMID: 38129929 PMC: 10740254. DOI: 10.1186/s12978-023-01728-3.

Clinical analysis on the influencing factors related to preterm twin pregnancy.

Du L, Du X, Wang W, Hu L, Qiao C, Shi R Rev Assoc Med Bras (1992). 2022; 68(12):1651-1656.

PMID: 36449788 PMC: 9779963. DOI: 10.1590/1806-9282.20220447.

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