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Comprehensive evaluation of the risk of lactational mastitis in Chinese women: combined logistic regression analysis with receiver operating characteristic curve

Objective: To identify the potential risk factors for acute mastitis during lactation comprehensively. Subsequently, to evaluate logistic regression model in predicting the risk of lactational mastitis in Chinese women by applying receiver operating characteristic (ROC) curve. Methods: A case–contro...

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Autores principales: Yin, Yongshuo, Yu, Zhiyong, Zhao, Min, Wang, Yuemei, Guan, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087359/
https://www.ncbi.nlm.nih.gov/pubmed/32100818
http://dx.doi.org/10.1042/BSR20190919
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author Yin, Yongshuo
Yu, Zhiyong
Zhao, Min
Wang, Yuemei
Guan, Xiao
author_facet Yin, Yongshuo
Yu, Zhiyong
Zhao, Min
Wang, Yuemei
Guan, Xiao
author_sort Yin, Yongshuo
collection PubMed
description Objective: To identify the potential risk factors for acute mastitis during lactation comprehensively. Subsequently, to evaluate logistic regression model in predicting the risk of lactational mastitis in Chinese women by applying receiver operating characteristic (ROC) curve. Methods: A case–control study among Chinese women enrolled 652 patients with mastitis and 581 healthy women with breastfeeding experience as control. The retrospective information was obtained by questionnaires that included medical history of pregnancy, delivery, puerperium and breastfeeding behaviors. Univariate analysis and multivariate logistic regression model were performed to investigate the relationship between these factors and the occurrence of lactational mastitis. Using ROC curve to evaluate the prognostic value of these selected indicators in the risk of acute mastitis. Results: The multivariate logistic regression analysis showed that the primiparity (P < 0.001), mastitis in previous breastfeeding (P < 0.001), nipple’s heteroplasia (P < 0.001), cracked nipple (P < 0.001), breast trauma by external force (P = 0.002), lateral position (P = 0.007), breast pump (P = 0.039), nipple sucking (P = 0.007), sleep with sucking (P = 0.007), and tongue-tie (P = 0.013) were risk variables independently and significantly related with mastitis. While vaginal delivery (P = 0.015), clean nipple before breastfeeding (P = 0.015), first contact with child within 1 h (P = 0.027) were protective factors. The ROC analysis demonstrated that the area under the curve of model 2 was 0.8122 (95%CI = 0.7885–0.8360), which stated that the model presented a high sensitivity and specificity. Conclusion: By means of collecting and summarizing the risk factors associated with the occurrence of breast mastitis in Chinese women, we established risk discriminant model to identify and warn the individuals susceptible to acute mastitis early, which will allow practitioners to provide appropriate management advice and effective individual care.
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spelling pubmed-70873592020-04-21 Comprehensive evaluation of the risk of lactational mastitis in Chinese women: combined logistic regression analysis with receiver operating characteristic curve Yin, Yongshuo Yu, Zhiyong Zhao, Min Wang, Yuemei Guan, Xiao Biosci Rep Diagnostics & Biomarkers Objective: To identify the potential risk factors for acute mastitis during lactation comprehensively. Subsequently, to evaluate logistic regression model in predicting the risk of lactational mastitis in Chinese women by applying receiver operating characteristic (ROC) curve. Methods: A case–control study among Chinese women enrolled 652 patients with mastitis and 581 healthy women with breastfeeding experience as control. The retrospective information was obtained by questionnaires that included medical history of pregnancy, delivery, puerperium and breastfeeding behaviors. Univariate analysis and multivariate logistic regression model were performed to investigate the relationship between these factors and the occurrence of lactational mastitis. Using ROC curve to evaluate the prognostic value of these selected indicators in the risk of acute mastitis. Results: The multivariate logistic regression analysis showed that the primiparity (P < 0.001), mastitis in previous breastfeeding (P < 0.001), nipple’s heteroplasia (P < 0.001), cracked nipple (P < 0.001), breast trauma by external force (P = 0.002), lateral position (P = 0.007), breast pump (P = 0.039), nipple sucking (P = 0.007), sleep with sucking (P = 0.007), and tongue-tie (P = 0.013) were risk variables independently and significantly related with mastitis. While vaginal delivery (P = 0.015), clean nipple before breastfeeding (P = 0.015), first contact with child within 1 h (P = 0.027) were protective factors. The ROC analysis demonstrated that the area under the curve of model 2 was 0.8122 (95%CI = 0.7885–0.8360), which stated that the model presented a high sensitivity and specificity. Conclusion: By means of collecting and summarizing the risk factors associated with the occurrence of breast mastitis in Chinese women, we established risk discriminant model to identify and warn the individuals susceptible to acute mastitis early, which will allow practitioners to provide appropriate management advice and effective individual care. Portland Press Ltd. 2020-03-20 /pmc/articles/PMC7087359/ /pubmed/32100818 http://dx.doi.org/10.1042/BSR20190919 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).
spellingShingle Diagnostics & Biomarkers
Yin, Yongshuo
Yu, Zhiyong
Zhao, Min
Wang, Yuemei
Guan, Xiao
Comprehensive evaluation of the risk of lactational mastitis in Chinese women: combined logistic regression analysis with receiver operating characteristic curve
title Comprehensive evaluation of the risk of lactational mastitis in Chinese women: combined logistic regression analysis with receiver operating characteristic curve
title_full Comprehensive evaluation of the risk of lactational mastitis in Chinese women: combined logistic regression analysis with receiver operating characteristic curve
title_fullStr Comprehensive evaluation of the risk of lactational mastitis in Chinese women: combined logistic regression analysis with receiver operating characteristic curve
title_full_unstemmed Comprehensive evaluation of the risk of lactational mastitis in Chinese women: combined logistic regression analysis with receiver operating characteristic curve
title_short Comprehensive evaluation of the risk of lactational mastitis in Chinese women: combined logistic regression analysis with receiver operating characteristic curve
title_sort comprehensive evaluation of the risk of lactational mastitis in chinese women: combined logistic regression analysis with receiver operating characteristic curve
topic Diagnostics & Biomarkers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087359/
https://www.ncbi.nlm.nih.gov/pubmed/32100818
http://dx.doi.org/10.1042/BSR20190919
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