The benefits of higher LMR for early threatened abortion: A retrospective cohort study.
Ontology highlight
ABSTRACT: Problem
To investigate the relation of inflammation-related parameters and pregnancy outcome in women with the early threatened abortion.Method of study
630 women with early threatened abortion were divided into two groups based on the pregnancy outcome. All of them had the blood routine examination before treating. The differences between two groups were analyzed by the Chi-squared test, Student T test, Mann-Whitney U test, Binary Logistic Regression, Marginal Structural Model and Threshold effect analysis.Results
We found that there is no significant difference in the pregnancy outcome for NLR (OR:0.92, CI95%:0.72, 1.17) and PLR (OR:1.00, CI%:0.99, 1.01). However, a difference had a statistical significance in the pregnancy outcome when LMR less than 2.19 (OR:0.39, CI95%:0.19,0.82).Conclusions
This study suggested that higher LMR was related to the lower risk of miscarriage in the women with early threatened abortion in a way.
SUBMITTER: Feng QT
PROVIDER: S-EPMC7170252 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
The benefits of higher LMR for early threatened abortion: A retrospective cohort study.
Feng Qiu-Ting QT Chen Chi C Yu Qing-Ying QY Chen Si-Yun SY Huang Xian X Zhong Yan-Lan YL Luo Song-Ping SP Gao Jie J
PloS one 20200420 4
<h4>Problem</h4>To investigate the relation of inflammation-related parameters and pregnancy outcome in women with the early threatened abortion.<h4>Method of study</h4>630 women with early threatened abortion were divided into two groups based on the pregnancy outcome. All of them had the blood routine examination before treating. The differences between two groups were analyzed by the Chi-squared test, Student T test, Mann-Whitney U test, Binary Logistic Regression, Marginal Structural Model a ...[more]
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