Trends and disparities of disease burden in infections among pregnant women in 131 low-income and middle-income countries, 1990-2019.

Abstract

Background: In low- and middle-income countries (LMICs) and territories, maternal infections impose a non-negligible disease burden. We aimed to analyse the secular trends, age distribution, and associated factors of maternal sepsis and other maternal infections (MSMI) across 131 LMICs from 1990 to 2019.

Methods: We collected yearly data of incidences, deaths, and disability adjusted life years (DALYs) on MSMI in 131 LMICs from 1990 to 2019 from the Global Burden of Disease 2019 (GBD 2019). The sociodemographic index (SDI) and universal health coverage effective coverage index (UHCI) were also acquired. Relative percent change and estimated annual percentage change (EAPC) were used to assess the secular trends. Correlation analyses were also employed to explore the associations between the burden of MSMI with SDI and UHCI.

Results: Between 1990 and 2019, the age-standardised incident rates (ASIRs), age-standardised maternal mortality ratios (ASMMRs) and age-standardised DALYs rates of low-income countries (LICs) were much higher than that of lower-middle-income countries (LMCs) and upper-middle income countries (UMCs), although they all continued to decline. At least six of 131 LMICs had ASMMR greater than 70.00 per 100 000 live births in 2019. The incidences of MSMI increased first till 20-24 years and then decreased with age both in 1990 and 2019, while the ASMMRs were higher in the youngest and the oldest age group. With the growth of SDI and UHCI in 2109, the decreasing trend of ASIR, ASMMR, and age-standardised DALYs rates slowed down.

Conclusions: Although the progress has been made in reducing the burden of MSMI in 131 LMICs, the disease burden in LICs far exceeded that of LMCs and UMCs. Socio-economic status and universal health coverage were both associated with the MSMI burden, and further research is needed to explore the underlying factors contributing to these disparities and to identify effective strategies for reducing the burden of MSMI.