Development and validation of a coagulation factor-based risk prediction model for hypertensive disorders of pregnancy

WU Huanyu; WANG Yanyan; ZHANG Xiaodong; CHEN Junhu; WEI Yanxing; WANG Caihong; ZHENG Suijin

doi:10.16766/j.cnki.issn.1674-4152.004478

Volume 24 Issue 5

May 2026

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Article Navigation > Chinese Journal of General Practice > 2026 > 24(5): 730-734

WU Huanyu, WANG Yanyan, ZHANG Xiaodong, CHEN Junhu, WEI Yanxing, WANG Caihong, ZHENG Suijin. Development and validation of a coagulation factor-based risk prediction model for hypertensive disorders of pregnancy[J]. Chinese Journal of General Practice, 2026, 24(5): 730-734. doi: 10.16766/j.cnki.issn.1674-4152.004478

Citation:

WU Huanyu, WANG Yanyan, ZHANG Xiaodong, CHEN Junhu, WEI Yanxing, WANG Caihong, ZHENG Suijin. Development and validation of a coagulation factor-based risk prediction model for hypertensive disorders of pregnancy[J]. Chinese Journal of General Practice, 2026, 24(5): 730-734. doi: 10.16766/j.cnki.issn.1674-4152.004478

Citation:

WU Huanyu, WANG Yanyan, ZHANG Xiaodong, CHEN Junhu, WEI Yanxing, WANG Caihong, ZHENG Suijin. Development and validation of a coagulation factor-based risk prediction model for hypertensive disorders of pregnancy[J]. Chinese Journal of General Practice, 2026, 24(5): 730-734. doi: 10.16766/j.cnki.issn.1674-4152.004478

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Development and validation of a coagulation factor-based risk prediction model for hypertensive disorders of pregnancy

doi: 10.16766/j.cnki.issn.1674-4152.004478

1.
Department of Obstetrics, the Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan Key Laboratory of Major Diseases in Obstetrics and Gynecology, Dongguan, Guangdong 523059, China

Funds:

81801457

82471718

20221800905872

20231800939842

20231800902862

东卫函〔2024〕176号

Received Date: 2025-11-12
Available Online: 2026-10-23

Abstract

Abstract

Objective To improve the early identification of hypertensive disorders of pregnancy (HDP), this study focused on coagulation function as a potential predictive dimension. We aimed to systematically evaluate the predictive value of coagulation indicators for HDP and to develop a clinically applicable risk assessment model based on these findings. Methods A retrospective study included 533 pregnant women admitted to Houjie Hospital, Dongguan from January 2020 to December 2023 (426 in the HDP group and 107 in the non-HDP group). Indicators including coagulation function, renal function, BMI, and age were collected. Predictive factors were screened through univariate and multivariate logistic regression to develop a nomogram model. Model performance was evaluated using receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and precision-recall curves (PR). Results Multivariate analysis identified advanced maternal age (≥35 years), BMI ≥25, and proteinuria as independent risk factors for HDP, while elevated activated partial thromboplastin time (APTT) and creatinine were protective factors. The model achieved an area under the ROC curve (AUC) of 0.847 (95% CI: 0.810-0.884), with calibration curves close to the ideal diagonal and DCA demonstrating significant clinical net benefit within the threshold probability range of 0.25-0.75. Conclusion The nomogram model incorporating APTT, advanced maternal age, BMI, proteinuria, and creatinine demonstrated good predictive performance for HDP, providing a convenient and economical quantitative tool for early identification of high-risk populations in clinical practice.
- Hypertensive disorders of pregnancy,
- Coagulation function,
- Predictive model

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References

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Development and validation of a coagulation factor-based risk prediction model for hypertensive disorders of pregnancy

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