Development and validation of nomogram for the prediction of preterm delivery based on patient characteristics and circulating inflammatory cells in patients with gestational diabetes mellitus

doi:10.21037/atm-22-6223

科研成果详情

题名	Development and validation of nomogram for the prediction of preterm delivery based on patient characteristics and circulating inflammatory cells in patients with gestational diabetes mellitus
作者	Huang, Yanjun1; Cai, Feifei1; Zhang, Weihang1; Shen, Ru1; Jin, Lixu1,2
发表日期	2023-01-31
发表期刊	ANNALS OF TRANSLATIONAL MEDICINE 影响因子和分区
语种	英语
原始文献类型	Article ; Early Access
关键词	Inflammatory cell preterm delivery gestational diabetes mellitus (GDM) nomogram
其他关键词	ADVERSE PREGNANCY OUTCOMES ; ADVANCED MATERNAL AGE ; RISK
摘要	Background: The incidence of preterm delivery (<37 weeks' gestation) is increased due to gestational diabetes mellitus (GDM). The preterm delivery is the leading cause of death in children. If potential preterm delivery can be diagnosed early and then prevented, adverse pregnancy outcomes can be improved. Therefore, effective methods are needed for early prediction of preterm delivery in women with GDM.Methods: Patients with GDM defined as the presence of at least 1 plasma glucose abnormality at 24- 28 weeks of pregnancy [fasting plasma glucose >_5.1 mmol/L, 60-min >_10.0 mmol/L, 120-min >_8.5 mmol/L by 75 g oral glucose tolerance test (OGTT)] from the First Affiliated Hospital of Wenzhou Medical University were enrolled. The data (564 patients) recorded from January 2017 to June 2020 were named the training cohort, and the data (242 patients) obtained from patients with GDM, from July 2020 to January 2022, were named the validation cohort. Mann-Whitney U test and chi-square test were used to compare the skewed distributed and categorical data, respectively. According to the results of univariate logistic regression analysis, the multivariate logistic regression model was developed in the training cohort. Then, the nomogram was established. The validation of the nomogram was conducted on the training and validation cohort. Results: No significant differences in baseline characteristics were detected between the 2 cohorts (all P>0.05). The multivariate analysis suggested that maternal age, insulin use, NLR, and monocyte count were the independent predictors of preterm delivery. A nomogram for predicting the probability of preterm delivery was developed. The model suggested good discrimination [areas under the curve (AUC) =0.885, 95% confidence interval (95% CI): 0.855-0.910, sensitivity =83.0%, specificity =83.1% in the training cohort; AUC =0.919, 95% CI: 0.858-0.980, sensitivity =90.6%, specificity =84.8% in the validation cohort] and good calibration [Hosmer-Lemeshow (HL) test: chi 2=3.618, P=0.306 in the training cohort; chi 2=6.012, P=0.111 in the validation cohort].Conclusions: The visual nomogram model appears to be a reliable approach for the prediction of preterm delivery, allowing clinicians to take timely measures to prevent the occurrence of preterm delivery in women with GDM at the time of GDM diagnosis, and deserves further investigation.
资助项目	Wenzhou Scienceand Technology Bureau, Basic Research Project [Y20210367]
出版者	AME PUBLISHING COMPANY
ISSN	2305-5839
EISSN	2305-5847
卷号	11 期号:2
DOI	10.21037/atm-22-6223
页数	10
WOS类目	Oncology ; Medicine, Research & Experimental
WOS研究方向	Oncology ; Research & Experimental Medicine
WOS记录号	WOS:000918363600001
收录类别	SCIE ; PUBMED
在线发表日期	2023-01
URL	查看原文
PubMed ID	36819579
通讯作者地址	[Jin, Lixu]Wenzhou Med Univ, Affiliated Hosp 1, Dept Obstet, New Dist Affiliated Hosp 1, Wenzhou 325000, Peoples R China.
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/173072
专题	附属第一医院_产科
通讯作者	Jin, Lixu
作者单位	1.Wenzhou Med Univ, Affiliated Hosp 1, Dept Obstet, Wenzhou, Peoples R China; 2.Wenzhou Med Univ, Affiliated Hosp 1, Dept Obstet, New Dist Affiliated Hosp 1, Wenzhou 325000, Peoples R China
第一作者单位	附属第一医院_产科
通讯作者单位	附属第一医院_产科
第一作者的第一单位	附属第一医院_产科
推荐引用方式 GB/T 7714	Huang, Yanjun,Cai, Feifei,Zhang, Weihang,et al. Development and validation of nomogram for the prediction of preterm delivery based on patient characteristics and circulating inflammatory cells in patients with gestational diabetes mellitus[J]. ANNALS OF TRANSLATIONAL MEDICINE,2023,11(2).
APA	Huang, Yanjun, Cai, Feifei, Zhang, Weihang, Shen, Ru, & Jin, Lixu. (2023). Development and validation of nomogram for the prediction of preterm delivery based on patient characteristics and circulating inflammatory cells in patients with gestational diabetes mellitus. ANNALS OF TRANSLATIONAL MEDICINE, 11(2).
MLA	Huang, Yanjun,et al."Development and validation of nomogram for the prediction of preterm delivery based on patient characteristics and circulating inflammatory cells in patients with gestational diabetes mellitus".ANNALS OF TRANSLATIONAL MEDICINE 11.2(2023).