Evidence map›Paper›PMID 40276210›Full record

ArticleInternational journal of nursing studies advances2025

Analysis of risk factors and prediction model construction for poor healing of perineal wounds after vaginal delivery: A retrospective case-control study.

Chunyu Cai, Shanshan Shan, Xiaoyan Chen, Xiao Yao, Ying Liu, Hui Jiang

Abstract read
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Article in International journal of nursing studies advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chunyu CaiDelivery Room, Shanghai First Maternity and Infant Hospital, Obstetrics and Gynecology Hospital Affiliated to Tongji University, Shanghai, PR China.
Shanshan ShanDelivery Room, Shanghai First Maternity and Infant Hospital, Obstetrics and Gynecology Hospital Affiliated to Tongji University, Shanghai, PR China.
Xiaoyan ChenDelivery Room, Shanghai First Maternity and Infant Hospital, Obstetrics and Gynecology Hospital Affiliated to Tongji University, Shanghai, PR China.
Xiao YaoDelivery Room, Shanghai First Maternity and Infant Hospital, Obstetrics and Gynecology Hospital Affiliated to Tongji University, Shanghai, PR China.
Ying LiuDelivery Room, Shanghai First Maternity and Infant Hospital, Obstetrics and Gynecology Hospital Affiliated to Tongji University, Shanghai, PR China.
Hui JiangNursing Department, Shanghai First Maternity and Infant Hospital, Obstetrics and Gynecology Hospital Affiliated to Tongji University, Shanghai, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Perineal wounds after vaginal delivery are very common, but the existing evidence for poor healing of perineal wounds is limited. Although some studies have analyzed the risk factors for poor perineal wound healing, there are currently no simple and practical predictive tools available for clinical use. Objective: To retrospectively analyze the independent risk factors for poor perineal wound healing after vaginal delivery and to establish a risk prediction model for poor perineal wound healing. Design: A Retrospective Case-Control Study. Data Source: A total of 167 cases of poor perineal wound healing after vaginal delivery who visited the emergency department from May 2021 to September 2023 in our hospital were selected as the poor perineal wound healing group. The control group was randomly selected by the random number table method at a ratio of 1:2 from those with normal perineal wound healing during the same period. Methods: Clinical indicators of the two groups were analyzed, and the risk factors for poor perineal wound healing were analyzed using univariate and multivariate Logistic regression analysis, and a risk prediction model was constructed. A nomogram was drawn, and the model was evaluated by discrimination and calibration. Results: This study ultimately included four independent risk factors to construct the risk prediction model, including primiparity, perineal laceration, perineal laceration combined with laceration, and vaginal hematoma. The model formula was Conclusions: The risk prediction model for poor perineal wound healing after vaginal delivery can reasonably predict the risk of poor incision healing, providing a basis for obstetric medical staff to take preventive management measures for high-risk groups before the discharge of parturient women, thereby reducing the occurrence of poor perineal wound healing.

Indexed as

NomogramPerineal woundPoor healingRisk prediction

Identifiers

PMID40276210
PMCPMC12019852

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.