Dengue in pregnancy and maternal mortality: a cohort analysis using routine data.
Enny Santos da PaixãoKatie HarronOona CampbellMaria Glória TeixeiraMaria da Conceição N CostaMauricio L BarretoLaura C RodriguesPublished in: Scientific reports (2018)
Dengue is a mosquito-borne disease with major public health importance due to its growing incidence and geographical spread. There is a lack of knowledge on its contribution to maternal death. We conducted a population-based cohort study to investigate the association between symptomatic dengue during pregnancy and deaths in Brazil from 2007 to 2012. We did this by linking routine records of confirmed dengue cases to records of deaths of women who had a live birth. Using the Firth method, we estimated odds ratios for maternal deaths associated with dengue during pregnancy. Dengue increased the risk of maternal death by 3 times (95%CI,1.5-5.8) and dengue haemorrhagic fever increased the risk of maternal death by 450 times (95%CI,186.9-1088.4) when compared to mortality of pregnant women without dengue. The increase in risk occurred mostly during acute dengue 71.5 (95%CI,32.8-155.8), compared with no dengue cases. This study showed an increased risk of adverse outcomes in pregnant women with dengue. Therefore in areas where dengue is circulating, the health of pregnant women should be not only a public health priority, but health professionals attending pregnant women with dengue should more closely observe these patients to be able to intervene in a timely way and avoid deaths.
Keyphrases
- aedes aegypti
- zika virus
- dengue virus
- public health
- pregnant women
- pregnancy outcomes
- healthcare
- cardiovascular disease
- risk factors
- coronary artery disease
- machine learning
- end stage renal disease
- skeletal muscle
- climate change
- newly diagnosed
- body mass index
- risk assessment
- artificial intelligence
- peritoneal dialysis
- deep learning
- intensive care unit
- clinical practice
- health information
- weight loss
- social media
- global health
- aortic dissection
- weight gain
- data analysis