INTRODUCTIONGestational hypertension (GH) is a common disorder during pregnancy that can progress to preeclampsia and cause various subsequent fatal complications. A cluster of enzymes, called matrix metalloproteinases (MMPs), and its specific inhibitors, tissue inhibitors of metalloproteinases (TIMPs), have been reported to be involved in the pathophysiology of GH. The purpose of this study was to examine circulating levels of MMP-9, TIMP-1 and TIMP-2 in pregnant women who had GH and those who were normotensive.

METHODSIn a case-control study, the total levels of MMP-9, TIMP-1 and TIMP-2 in the sera of 108 pregnant patients were evaluated using enzyme-linked immunosorbent assays. 54 patients with GH (test group) and 64 normotensive pregnant women (control group) were included in the study.

RESULTSWhile MMP-9 levels showed a high level of expression in the GH group (p = 0.085), TIMP-1 and TIMP-2 levels showed low levels of expression for the same. Weak positive correlations were found on correlation analysis between maternal age and TIMP-1 in the GH group (r = 0.278, p < 0.05), and between gestational age and TIMP-2 in the control group (r = 0.318, p < 0.05).

CONCLUSIONOur findings suggest that MMP-9 may be involved in the pathophysiology of GH. It may be of value to further evaluate MMP-9 as a potential biomarker for predicting preeclampsia in pregnant women.

Adolescent ; Adult ; Biomarkers ; blood ; Case-Control Studies ; Enzyme-Linked Immunosorbent Assay ; Female ; Gestational Age ; Humans ; Hypertension, Pregnancy-Induced ; blood ; diagnosis ; Matrix Metalloproteinase 9 ; blood ; Pregnancy ; Tissue Inhibitor of Metalloproteinase-1 ; blood ; Tissue Inhibitor of Metalloproteinase-2 ; blood ; Young Adult

Background: Equity is one of the important aspects of universal health coverage. Variation in socioeconomic status (SES) has been proved to contribute discrepancies in the use of healthcare services. This study aimed to assess equity for inpatient, outpatient and dental care utilisation by household SES over time. Methods: This study used five series of National Health and Morbidity Survey data from 1986 to 2015. Healthcare utilisation for inpatient, outpatient and dental care were analysed. SES was grouped based on household expenditure variables accounting for total number of adults and children in the household using consumption per adult equivalents approach. The determination of healthcare utilisation across the SES segments was measured using concentration index. Results: The overall distribution of inpatient utilisation tended towards the pro-poor, although only data from 1996 (P-value = 0.017) and 2006 (P-value = 0.021) were statistically significant (P < 0.05). Out-patient care showed changing trends from initially being pro-rich in 1986 (P < 0.05), then gradually switching to pro-poor in 2015 (P < 0.05). Dental care utilisation was significantly pro-rich throughout the survey period (P < 0.05). Public providers mostly showed significantly pro-poor trends for both in- and out-patient care (P < 0.05). Private providers, meanwhile, constantly showed a significantly pro-rich (P < 0.05) trend of utilisation. Conclusion: Total health utilisation was close to being equal across SES throughout the years. However, this overall effect exhibited inequities as the effect of pro-rich utilisation in the private sector negated the pro-poor utilisation in the public sector. Strategies to improve equity should be consistent by increasing accessibility to the private sectors, which has been primarily dominated by the richest population.