Analysis of risk factors associated with different degrees of postpartum hemorrhage in patients with pregnancy-induced hypertension and construction of a prediction model using line graph

Abstract

Objective

This study aims to analyze the risk factors associated with different degrees of postpartum hemorrhage in patients with pregnancy-induced hypertension and construct a prediction model using line graph.

Methods

The patients who were treated in our hospital for pregnancy-induced hypertension from January 2021 to December 2022 were enrolled as the study subjects. Their clinical data were collected, and the risk factors associated with postpartum hemorrhage in patients with pregnancy-induced hypertension were analyzed by single-factor and multi-factor logistic regression. The nomogram prediction model was constructed and validated internally, and the discrimination and consistency of the model were verified by the ROC curve and calibration graph.

Results

In this experiment, 125 out of the 482 patients with hypertensive disorder complicating pregnancy experienced different degrees of postpartum hemorrhage, with an incidence of 25.93%. Multivariate Logistic regression analysis showed that patients with severe disease (OR = 2.454), the degree of proteinuria +++ or ++++ (OR = 6.754, 7.206), fetal body mass ≥4000 g (OR = 5.972), uterine atony (OR = 11.789), abnormal HDL-C (OR = 3.174), abnormal LDL-C (OR = 8.812), and abnormal VEGF (OR = 7.702) had a higher risk of postpartum hemorrhage (p < .05). The risk of postpartum hemorrhage was lower in patients with onset gestational week ≥28 weeks (OR = 0.158, 0.025) and delivery gestational week ≥28 weeks (OR = 0.085, 0.152) (p < .05). Columnar line graph models for postpartum hemorrhage in patients with gestational hypertension were constructed based on nine independent risk factors, and the model differentiation (AUC 0.912 and 0.919, respectively) and precision (goodness of fit HL χ² = 8.441, p = .392, χ² = 7.741, p = .459) were better in the modeling and validation groups.

Conclusion

The severity of disease, the gestational week upon onset, the gestational week upon delivery, the degree of proteinuria, systolic blood pressure, diastolic blood pressure, uterine atony, HDL-C, LDL-C, VEGF are factors affecting the incidence of postpartum hemorrhage in patients with hypertensive disorder complicating pregnancy. The prediction model based on the above factors can accurately evaluate the risk of different degrees of postpartum hemorrhage in patients with hypertensive disorder complicating pregnancy.

Keywords:

• Hypertensive disorder complicating pregnancy
• postpartum hemorrhage
• influencing factors
• nomogram

Author contributions

Xiwen Zhong: Data Collection, Manuscript writing. Pingping Zhang: Project development, Data analysis, Manuscript editing.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The [DATA TYPE] data used to support the findings of this study are included within the article.

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.