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Clinical and Experimental Obstetrics & Gynecology  2019, Vol. 46 Issue (5): 743-747    DOI: 10.12891/ceog4737.2019
Original Research Previous articles | Next articles
Predicting adverse outcomes of hypertensive disorders in pregnancy: validation of fullPIERS model in Chinese population
H.H. Wang1, 2, †, L.P. Zhu2, †, J.J. Zhang1, B. Han1, *(), Y. Wang2
1Department of Obstetrics and Gynecology, First Affiliated Hospital of Soochow University, Suzhou, China
2Department of Obstetrics and Gynecology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
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Purpose of Investigation: The fullPIERS model is an effective tool to predict the adverse outcomes of pre-eclampsia. This study aimed to validate the effectiveness of fullPIERS model, and discover the variables that may be useful to predict the adverse outcomes of hypertensive disorders in pregnancy (HDPs) in Chinese population. Materials and Methods: The authors retrospectively collected the data of 1,430 HDPs patients within 48 hours of adverse outcomes in two tertiary hospitals in China. Calculated the risk probability value of every patient using fullPIERS model and validated the predictive efficiency by area under curve of operating characteristic curve (AUC ROC). To assess the factors particularly useful to predict adverse outcomes of HDPs for Chinese population, the authors conducted the independent sample t-test and multivariate regression analysis to the following factors: age, platelet count, gestational age, creatinine, AST, total bilirubin, direct bilirubin, indirect bilirubin, hemoglobin, albumin, globulin, ALT, alkaline phosphatase, lactic dehydrogenase, urea, and uric acid. Results: The AUC ROC was 0.768 calculated by fullPIERS model within 48 hours of adverse outcomes, and the cut-off probability value was 0.045. In patients with a probability value ≥ 0.045, 53.53% experienced adverse outcomes, and the false positive rate was 10.70%. Lactic dehydrogenase was a promising variable for predicting the risk of adverse outcome of HDPs. The AUC ROC calculated based on lactic dehydrogenase alone was 0.615 with a cut-off value of 243.5 U/L. Conclusions: The fullPIERS model was effective for Chinese population to predict adverse outcomes in pregnant women complicating HDPs. Lactic dehydrogenase was a promising variable to predict the adverse outcomes of HDPs.

Key words:  Hypertensive disorders in pregnancy      FullPIERS model      Adverse outcome      Risk prediction     
Published:  10 October 2019     
*Corresponding Author(s):  B. HAN     E-mail:
About author:  Contributed equally.

Cite this article: 

H.H. Wang, L.P. Zhu, J.J. Zhang, B. Han, Y. Wang. Predicting adverse outcomes of hypertensive disorders in pregnancy: validation of fullPIERS model in Chinese population. Clinical and Experimental Obstetrics & Gynecology, 2019, 46(5): 743-747.

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[1] Y. E. Purut, E. E. Buyukbayrak, F. Ercan, A. Orcun, M. Menke, A. Y. Karageyim Karsidag. Do first trimester maternal serum follistatin like 3 levels predict preeclampsia and/or related adverse pregnancy outcomes?[J]. Clinical and Experimental Obstetrics & Gynecology, 2019, 46(2): 195-200.
[1] Eli M. Roth, Michael H. Davidson. PCSK9 Inhibitors: Mechanism of Action, Efficacy, and Safety[J]. Reviews in Cardiovascular Medicine, 2018, 19(S1): 31 -46 .
[2] Sandeep K. Krishnan, Norman E. Lepor. Acute and Chronic Cardiovascular Effects of Hyperkalemia: New Insights Into Prevention and Clinical Management[J]. Reviews in Cardiovascular Medicine, 2016, 17(S1): 9 -21 .
[3] Ibrahim Sidiqi, Patrick Alexander. Current Advances in Endovascular Therapy for Infrapopliteal Artery Disease[J]. Reviews in Cardiovascular Medicine, 2015, 16(1): 36 -50 .
[4] Peter Shalit. Management of Dyslipidemia in Patients With Human Immunodeficiency Virus[J]. Reviews in Cardiovascular Medicine, 2014, 15(S1): 38 -46 .
[5] Sophie Mavrogeni, Fabrizio Cantini, Gerald M. Pohost. Systemic Vasculitis: An Underestimated Cause of Heart Failure—Assessment by Cardiovascular Magnetic Resonance[J]. Reviews in Cardiovascular Medicine, 2013, 14(1): 49 -55 .
[6] George L. Smith. Appropriate Use Criteria: The Gold Standard, or a Mechanism for the Derogation of Clinical Judgment?[J]. Reviews in Cardiovascular Medicine, 2011, 12(2): 105 .
[7] Prabhjot Singh Nijjar, Anoop Parameswaran, Aman M. Amanullah. Evaluation of Anomalous Aortic Origins of the Coronaries by 64-Slice Cardiac Computed Tomography[J]. Reviews in Cardiovascular Medicine, 2007, 8(3): 175 -181 .
[8] . SELF-ASSESSMENT POST-TEST[J]. Reviews in Cardiovascular Medicine, 2006, 7(S2): 51 -52 .
[9] Alice K. Jacobs. Gender Differences in Coronary Revascularization: Does Age Make a Difference?[J]. Reviews in Cardiovascular Medicine, 2004, 5(1): 68 -70 .
[10] Jeffrey W. Moses, Stephane Carlier, Issam Moussa. Lesion Preparation Prior to Stenting[J]. Reviews in Cardiovascular Medicine, 2004, 5(S2): 16 -21 .