Related Experiment Video
Updated: Jan 9, 2026
06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
628
Risk factor analysis and development of a nomogram prediction model for Plasma Cell Mastitis
Yiming Sun1, Feng Zhang2, Xiaowen Ma2
1Department of Neurosurgery, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China.
Plos One
|December 9, 2025
Summary
Plasma cell mastitis (PCM) risk factors like nipple retraction and recent trauma are identified. A predictive model aids early prevention, especially for women within 3 years postpartum/post-abortion.
Area of Science:
- Breast health research
- Clinical diagnostics
- Women's health
Background:
- Plasma cell mastitis (PCM) risk factors are not well understood.
- Preventing PCM onset is a significant clinical concern.
- This study aims to identify PCM risk factors and develop a predictive model.
Purpose of the Study:
- Identify independent risk factors for plasma cell mastitis (PCM).
- Develop a nomogram for predicting PCM risk.
- Provide insights for targeted prevention strategies in high-risk populations.
Main Methods:
- Retrospective analysis of 82 PCM patients and 82 controls.
- Univariate and multivariate logistic regression analyses were performed.
- A nomogram prediction model was established using R software.
Main Results:
- Nipple retraction, recent trauma history, and number of pregnancies identified as independent PCM risk factors.
- Nipple retraction (OR=20.128) and recent trauma (OR=11.154) increased PCM risk.
- Increased number of pregnancies (OR=0.343) showed a protective effect.
Conclusions:
- Nipple retraction, recent trauma, and pregnancy history are key PCM risk factors.
- A nomogram model demonstrated strong predictive accuracy (C-index=0.809).
- Targeted education for high-risk groups, especially postpartum/post-abortion women, can improve prevention.
