Literature DB >> 21405944

Platelets, inflammation, and prediction of the hypertension disorders of pregnancy.

Hongling Yang1, Wen Tang, Chunyan Zhu, Caijiao Guo.   

Abstract

OBJECTIVE: To assess the features of the platelets (PLTs) of hypertensive disorders of pregnancy (HDP) and to determine whether they have a predictive value for the disorders during the preclinical stage.
METHODS: This study included 461 HDPs and 827 normal pregnancies. Platelet counts were compared between the two groups by an independent samples t test; a Fisher's linear discriminant analysis and receiver operator characteristic curve were performed to analyze the diagnostic effects of the variables in developing HDP.
RESULTS: Women with HDP had significantly higher PLT before the second trimester. When exceeding the cut-off, it had a specificity (SPE) of 81.67% (95% CI: 81.63%-81.72%) for predicting a HDP. The discriminant function had a sensitivity of 69.1 (95% CI: 69.04-69.16), a SPE of 73.60% (95% CI: 73.569-73.64), a positive prediction value of 61.32% (95% CI: 61.25-61.39), a negative prediction value of 79.93% (95% CI: 79.88-79.98), and 71.50% of gravidas were correctly classified.
CONCLUSION: These results show that HDP is associated with increased systemic inflammation as depicted by the PLT and white blood cells in gravidas. The discriminant function of blood cells in a mathematical model may be helpful for predicting a HDP in presymptomatic patients, however, which is not sufficiently to use in clinical practice; a prospective study about the predicting is still needed.

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Year:  2011        PMID: 21405944     DOI: 10.3109/14767058.2011.560985

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  1 in total

1.  Serum complement proteomics reveal biomarkers for hypertension disorder of pregnancy and the potential role of Clusterin.

Authors:  Shanshui Zeng; Mengru Han; Min Jiang; Fei Liu; Yanwei Hu; Yan Long; Chunyan Zhu; Fangling Zeng; Qiangsheng Gan; Weitao Ye; Wenjin Fu; Hongling Yang
Journal:  Reprod Biol Endocrinol       Date:  2021-04-19       Impact factor: 5.211

  1 in total

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