ArticleAmerican journal of translational research2025
Serum creatinine, uric acid, and D-dimer levels as predictors of disease severity in hypertensive disorders of pregnancy.
Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveThis study aims to explore the association between serum creatinine (Scr), uric acid (UA), D-dimer (D-D) levels and disease severity in patients with hypertensive disorders of pregnancy (HDP), and to establish a nomogram model for risk stratification and prediction of adverse pregnancy outcomes (APO).
methodsWe retrospectively analyzed 230 HDP patients, categorizing them into two groups based on the occurrence of APO: the APO group (n=75) and the non-APO group (n=155). The predictive value of biomarkers for disease severity was evaluated, and a composite risk model incorporating both severity and biomarkers was constructed to assess APO risk. Then we checked different clinical indicators between the two groups to find which ones might be linked to APO. We used this information to make a nomogram model that showed the risk of APO in HDP patients. We tested how well the model worked.
resultsOut of 230 HDP patients, 75 had bad pregnancy results (32.61%). The univariate logistic regression analysis showed several factors linked to APO: maternal age, disease severity, D-D levels, Scr, and UA (all
conclusionWe developed a nomogram model to help predict APO in women with HDP. The results showed that the model performed well in terms of accuracy and consistency.
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