ArticleBMC pregnancy and childbirth2022
Development and evaluation of a nomogram for adverse outcomes of preeclampsia in Chinese pregnant women.
Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 12 citations in OpenAlex.
- Incremental Value of Immediate Postpartum POCUS for Risk Stratification of Adverse Maternal Outcomes in Hypertensive Disorders of Pregnancy.Journal of clinical medicine · 2026Article
- Analysis of peripheral blood variables in evaluation and prediction of adverse outcomes with hypertensive disorders of pregnancy.BMC pregnancy and childbirth · 2025Article
- FSP1 and CoQ10 have the potential to serve as biomarkers for severe preeclampsia.BMC pregnancy and childbirth · 2025Article
- Prevalence, risk factors, and adverse perinatal outcomes in Chinese women with preeclampsia: a large retrospective cohort study.Journal of health, population, and nutrition · 2025Article
- Predictive Factors for Fetal Growth Restriction in Patients with Preeclampsia: A Clinical Prediction Study.International journal of general medicine · 2025Article
- Expression and Clinical Significance of Irisin in Serum and Placenta Tissues of Pregnant Women with Severe Preeclampsia.International journal of women's health · 2025Article
- Thyroid-stimulating hormone and total bile acids can predict adverse pregnancy outcome among patients with gestational hypertension.American journal of translational research · 2024Article
- Chromosome 1p36 candidate gene ZNF436 predicts the prognosis of neuroblastoma: a bioinformatic analysis.Italian journal of pediatrics · 2023Article
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6 authors at 1 institution in 1 country.
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Abstract
objectivePreeclampsia, the main cause of maternal and perinatal deaths, is associated with several maternal complications and adverse perinatal outcomes. Some prediction models are uesd to evaluate adverse pregnancy outcomes. However, some of the current prediction models are mainly carried out in developed countries, and many problems are still exist. We, thus, developed and validated a nomogram to predict the risk of adverse pregnancy outcomes of preeclampsia in Chinese pregnant women.
methodsThe clinical data of 720 pregnant women with preeclampsia in seven medical institutions in Chongqing from January 1, 2010, to December 31, 2020, were analyzed retrospectively. The patients were divided into two groups: 180 cases (25%) with adverse outcomes and 540 cases (75%) without adverse outcomes. The indicators were identified via univariate analysis. Logistic regression analysis was used to establish the prediction model, which was displayed by a nomogram. The performance of the nomogram was evaluated in terms of the area under the receiver operating characteristic (ROC) curve, calibration, and clinical utility.
resultsUnivariate analysis showed that 24 indicators were significantly different (P < 0.05). Logistic regression analysis showed that gestational age, 24 h urine protein qualitative, and TT were significantly different (P < 0.05). The area under the ROC curve was 0.781 (95% CI 0.737-0.825) in training set and 0.777 (95% CI 0.689-0.865) in test set. The calibration curve of the nomogram showed good agreement between prediction and observation. The analysis of the clinical decision curve showed that the nomogram is of practical significance.
conclusionOur study identified gestational age, 24 h urine protein qualitative, and TT as risk factors for adverse outcomes of preeclampsia in pregnant women, and constructed a nomogram that can easily predict and evaluate the risk of adverse pregnancy outcomes in women with preeclampsia.
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