Background
The early identification of pregnant women at risk of developing complications at birth is fundamental to antenatal care and an important strategy in preventing maternal death. This study aimed to determine the prevalence of high-risk pregnancies and explore the association between risk stratification and severe maternal morbidity.
Methods
This hospital-based prospective cohort study included 346 pregnant women between 28–32 gestational weeks who were followed up after childbirth at Koshi Hospital in Nepal. The Malaysian antenatal risk stratification approach, which applies four color codes, was used: red and yellow denote high-risk women, while green and white indicate low-risk women based on maternal past and present medical and obstetric risk factors. The World Health Organization criteria were used to identify women with severe maternal morbidity. Multivariate confirmatory logistic regression analysis was performed to adjust for possible confounders (age and mode of birth) and explore the association between risk stratification and severe maternal morbidity.
Results
The prevalence of high-risk pregnancies was 14.4%. Based on the color-coded risk stratification, 7.5% of the women were categorized red, 6.9% yellow, 72.0% green, and 13.6% white. The women with high-risk pregnancies were 4.2 times more likely to develop severe maternal morbidity conditions during childbirth.
Conclusions
Although smaller in percentage, the chances of severe maternal morbidity among high-risk pregnancies were higher than those of low-risk pregnancies. This risk scoring approach shows the potential to predict severe maternal morbidity if routine screening is implemented at antenatal care services. Notwithstanding, unpredictable severe maternal morbidity events also occur among low-risk pregnant women, thus all pregnant women require vigilance and quality obstetrics care but high-risk pregnant women require specialized care and referral.
Functional status of women with and without severe maternal morbidity: A prospective cohort study
