ISSN: 0970-938X (Print) | 0976-1683 (Electronic)

Biomedical Research

An International Journal of Medical Sciences

Abstract

The clinical value of combined detection of N-terminal pro-brain natriuretic peptide, blood lipid, coagulation and fibrinolytic function in pregnancy induced hypertension

Objective: Our objective is to explore the clinical value of combined detection of N-Terminal pro-Brain Natriuretic Peptide (NT-proBNP), blood lipid, coagulation, and fibrinolytic function in Pregnancy Induced Hypertension (PIH).

Methods: 172 PIH patients admitted in our hospital during February, 2014-Auguest, 2016 were included in the observation group, which were divided into mild (n=81), moderate (n=52) and severe (n=39) groups according to PIH severity. Meanwhile, 140 healthy pregnant women were included in the control group. NT-proBNP, blood lipid, coagulation, and fibrinolytic function in both groups were detected and the differences were compared. The correlation analysis was used to analyze the correlation of the above indexes with Mean Arterial Pressure (MAP).

Results: The MAP, NT-proBNP, TC, HDL-C, LDL-C, FIB, D-D and FDP in the observation group were higher than those in the control group, and the PT, APTT and TT of the observation group were lower than those of the control group, the differences were statistically significant (P<0.05). With the aggravation of PIH, the MAP, NT-proBNP, TG, HDL-C, TC, LDL-C, FIB, D-D and FDP were gradually increased, and the PT, APTT and TT were gradually decreased, the differences were statistically significant (P<0.05). Pearson correlation analysis showed that NT-proBNP, TC, TG, FIBG, D-D and FDP were positively correlated with MAP in PIH and PT, APTT and TT were negatively correlated with MAP in pregnant women with PIH (P<0.05).

Conclusion: The combined detection of NT-proBNP, blood lipid, blood coagulation and fibrinolytic function can reflect the severity of PIH patients, and provide a reference for the early diagnosis, treatment and prognosis evaluation of PIH.

Author(s): Huifen Zang, Qingqing Wu, Lei Shi, Ge Chen
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