scholarly journals Prediction of twin pregnancy preeclampsia based on clinical risk factors, early pregnancy serum markers, and uterine artery pulsatility index

2021 ◽  
Vol 37 (7) ◽  
Author(s):  
Yan Lu ◽  
Zhongying Ding ◽  
Wenwen Li ◽  
Lina Mei ◽  
Linglong Shen ◽  
...  

Objectives: To investigate whether a combination of clinical risk factors, early pregnancy serum markers, and uterine artery pulsatility index (UTPI) can be used to predict twin preeclampsia (PE). Methods: This case control study included women with twin pregnancies who had undergone obstetrics treatments and gave birth at the Huzhou Maternity and Child Health Care Hospital from October 2018 to November 2020. Patients with PE comprised study group, and patients without PE comprised control group based on selection criteria and a 1:1 ratio. Statistical analysis was performed using clinical risk factors, early pregnancy serum markers, and UTPIs, and the area under the receiver operating curve (AUC. Sensitivity, and the specificity of different combinations of these variables were calculated to predict PE in women with twin pregnancy. Results: Logistic regression analysis revealed four independent predictors for the onset of PE during twin pregnancies: first delivery (OR, 7.51; P=0.045), conception method (OR, 7.11; P=0.036), β-HCG level (per SD OR, 2.73; P=0.026), and UTPI (OR, 0.17; P=0.043). First-delivery and IVF pregnancy methods both lead to a 7-fold increase in the PE risk during twin pregnancies. Every one sigma (standard deviation) increase in the β-HCG level led to a 2.73-fold increase in the PE risk. Every UTPI increment by 1.0 reduces the risk of PE by 83%. The prediction efficiencies were based on an AUC of 0.837, a sensitivity of 69%, and a specificity of 92% for the clinical risk factors; an AUC of 0.800, a sensitivity of 81%, and specificity of 78% for the β-HCG level, and an AUC of 0.814, a sensitivity of 88%, and a specificity of 65% for the UTPI. AUC was 0.928, sensitivity 85%, and a specificity 88% after applying the three types of indicators together for prediction. Conclusions: By combining early pregnancy serum markers (β-HCG), and UTPI, the predictive value for PE during twin pregnancy is improved together with its sensitivity and specificity. doi: https://doi.org/10.12669/pjms.37.7.5041 How to cite this:Lu Y, Ding Z, Li W, Mei L, Shen L, Shan H. Prediction of twin pregnancy preeclampsia based on clinical risk factors, early pregnancy serum markers, and uterine artery pulsatility index. Pak J Med Sci. 2021;37(7):---------.  doi: https://doi.org/10.12669/pjms.37.7.5041 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

2013 ◽  
Vol 34 (2) ◽  
pp. 172-179 ◽  
Author(s):  
Amy Metcalfe ◽  
Sylvie Langlois ◽  
Julie MacFarlane ◽  
Hilary Vallance ◽  
K. S. Joseph

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249555
Author(s):  
Nipp Chantanahom ◽  
Vorapong Phupong

Background Preeclampsia is a common obstetric complication. The rate of preeclampsia is increased in twin pregnancies. The aim of this study was to assess the clinical risk factors for developing preeclampsia in twin pregnancies. Methods A case-control study was carried out among women with twin pregnancies who delivered at gestational age more than 23 weeks at King Chulalongkorn Memorial Hospital, Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand, from 2003 to 2019. The data were retrieved from electronic medical records. Multivariate logistic regression analysis was used to find the risk factors. Results A total of 1,568 twin pregnancies were delivered during the study period and 182 cases (11.6%) developed preeclampsia. 172 cases with preeclampsia and 516 controls were selected for analysis. After certain variables were adjusted in the multivariate logistic regression analysis, the clinical factors associated with preeclampsia in twin pregnancies were nulliparity (adjusted odds ratio (OR) 1.57, 95% confidence interval (CI) 1.02–2.41) and chronic hypertension (adjusted OR 6.22, 95%CI 1.98–19.57). Low gestational weight gain was a significant protective factor against the development of preeclampsia (adjusted OR 0.50; 95%CI 0.32–0.77). Conclusion The clinical risk factors for developing preeclampsia in twin pregnancies were nulliparity and chronic hypertension. These risk factors are of value to identify twin pregnant women at risk for preeclampsia and in implementing primary prevention.


2017 ◽  
Vol 37 (1) ◽  
pp. 7-8
Author(s):  
Emily Bartsch ◽  
Karyn E. Medcalf ◽  
Alison L. Park ◽  
Joel G. Ray

Angiology ◽  
2021 ◽  
pp. 000331972110280
Author(s):  
Sukru Arslan ◽  
Ahmet Yildiz ◽  
Okay Abaci ◽  
Urfan Jafarov ◽  
Servet Batit ◽  
...  

The data with respect to stable coronary artery disease (SCAD) are mainly confined to main vessel disease. However, there is a lack of information and long-term outcomes regarding isolated side branch disease. This study aimed to evaluate long-term major adverse cardiac and cerebrovascular events (MACCEs) in patients with isolated side branch coronary artery disease (CAD). A total of 437 patients with isolated side branch SCAD were included. After a median follow-up of 38 months, the overall MACCE and all-cause mortality rates were 14.6% and 5.9%, respectively. Among angiographic features, 68.2% of patients had diagonal artery and 82.2% had ostial lesions. In 28.8% of patients, the vessel diameter was ≥2.75 mm. According to the American College of Cardiology lesion classification, 84.2% of patients had either class B or C lesions. Age, ostial lesions, glycated hemoglobin A1c, and neutrophil levels were independent predictors of MACCE. On the other hand, side branch location, vessel diameter, and lesion complexity did not affect outcomes. Clinical risk factors seem to have a greater impact on MACCE rather than lesion morphology. Therefore, the treatment of clinical risk factors is of paramount importance in these patients.


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