Objectives To investigate the relationship between hypoalbuminemia and pregnancy-induced hypertension syndrome (PIH).
Methods The research objects were selected in November 2011 to October 2012 from the first affiliated hospital of Harbin medical university, which consisted of 54 patients with PIH, 54 cases with the normal pregnancy patients (Con) and 30 cases with essential hypertension (EH). The demographic data, medical history, body mass index, systolic and diastolic blood pressures (BP) of the patients were recorded. The cholesterol, triglycerin, blood sugar, and urine routine were examined within 24 hours before administration.
The change of clinical data among the three groups
It shows that there was no statistical significance in age and height (p = NS). Compared with the Con and EH groups, body mass index (BMI) was significantly increased in the PIH group (t = 12.810, p < 0.001; t = 6.270, p < 0.001; t = 5.410, p < 0.001), and the change of ΔBMI was increased significantly in the PIH group (t = 7.35, p < 0.001) compared with the Con group.
The change of blood pressure among the three groups
The blood pressure in the PIH group rose from 115.93 ± 6.87/75.96 ± 6.43 mmHg to 163.33 ± 16.55/104.89 ± 13.75 mmHg and the change of blood pressure was more striking than that in the Con group (t = 16.18, p < 0.001) which was significant parallels with the change of BMI. However, it found no change in the last 9 months in the EH group.
Urine protein detection and stratified subgroups
Based on the urine protein level, each group was divided into three layers. By Kruskal-Wallis H test on the above parameters, the results showed that the urinary protein in the PIH group was higher than the Con and EH groups (p < 0.001).
The change of laboratory data among three groups
Compared with the others, the TC, TG, LDH levels were significantly increased in the PIH group (t = 2.67, p = 0.009; t = 4.83, p < 0.001; t = 4.44, p < 0.001; t = 4.93, p < 0.001; t = 8.08, p < 0.001; t = 4.36, p < 0.001), but the TP and ALB levels were decreased (t = -9.68, p < 0.001; t = -12.09, p < 0.001; t = -14.13, p < 0.001; t = -4.67, p < 0.001).
The screening of the risk factors
The risk factors associated with PIH (p < 0.05), such as the decrease data of TP and ALB and the increased data of UP, TC, TG, LDH and BMI were analysed by Logistic regression to screen out the most important risk factor associated with PIH. Via logistic regression analysis, the ALB and UP level are the most important factors during the PIH development.
Conclusions Hypoalbuminemia has a close relation with the formation of PIH, following by increased urinary protein. It is recommended to increase reasonable protein diet and prevent the loss of albumin from kidney so as to delay the formation and development of PIH.