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. 2018 May;15(5):4361-4369.
doi: 10.3892/etm.2018.5972. Epub 2018 Mar 20.

Low-dose aspirin at ≤16 weeks of gestation for preventing preeclampsia and its maternal and neonatal adverse outcomes: A systematic review and meta-analysis

Affiliations

Low-dose aspirin at ≤16 weeks of gestation for preventing preeclampsia and its maternal and neonatal adverse outcomes: A systematic review and meta-analysis

Yuechong Cui et al. Exp Ther Med. 2018 May.

Abstract

The aim of the present meta-analysis study was to evaluate the efficacy of low-dose aspirin, commenced at ≤16 weeks of gestation, in preventing preterm and term preeclampsia, as well as associated maternal and neonatal adverse events in women at risk of preeclampsia. The Embase, PubMed, Cochrane Central Register of Controlled Trials and the Web of Science databases were searched for relevant random controlled trials (RCTs) published between January 1979 and October 2017. After quality assessment and data extraction, a meta-analysis was performed using RevMan 5.3 software. Outcomes of interest were preeclampsia with subgroups of preterm preeclampsia (delivery at <37 weeks) and term preeclampsia, as well as maternal adverse outcomes, including gestational hypertension, postpartum hemorrhage and preterm birth, and neonatal adverse outcomes, including intrauterine growth retardation (IUGR) or small for gestation age infant (SGA), stillbirth or death, and newborn weight. A total of 10 RCTs involving 3,168 participants were included. The meta-analysis demonstrated that, compared with placebo or no treatment, low-dose aspirin was associated with a significant reduction in the overall risk ratio (RR) of preeclampsia regardless of the time to delivery [RR=0.67; 95% confidence interval (CI)=0.57-0.80]. This was apparent for preterm preeclampsia (RR=0.35; 95% CI=0.13-0.94) but not for term preeclampsia (RR=1.01; 95% CI=0.60-1.70). Except for postpartum hemorrhage, low-dose aspirin also significantly reduced the risk of maternal and neonatal adverse outcomes. In conclusion, low-dose aspirin in women at risk of preeclampsia, commenced at ≤16 weeks of gestation, was associated with a reduced risk of preterm preeclampsia, and of adverse maternal and neonatal outcomes.

Keywords: low-dose aspirin; meta-analysis; preeclampsia.

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Figures

Figure 1.
Figure 1.
Flowchart depicting the method of study selection. ASA, acetylsalicylic acid.
Figure 2.
Figure 2.
Funnel plot of publication bias. RR, risk ratio. SE, standard error.
Figure 3.
Figure 3.
Summary risk of bias assessment according to the Cochrane handbook.
Figure 4.
Figure 4.
Forest plot of the effect of low-dose aspirin on the risk of preeclampsia. df, degrees of freedom; M-H, Mantel-Haenszel; CI, confidence interval; ASA, acetylsalicylic acid. Black diamonds indicate the weight of each study; blue squares indicate the overall result; horizontal lines indicate the sample size of the studies.
Figure 5.
Figure 5.
Forest plots of the effect of low-dose aspirin on the risk of preterm preeclampsia and term preeclampsia. df, degrees of freedom; M-H, Mantel-Haenszel; CI, confidence interval; ASA, acetylsalicylic acid. Black diamonds indicate the weight of each study; blue squares indicate the overall result; horizontal lines indicate the sample size of the studies.
Figure 6.
Figure 6.
Forest plots of the effect of low-dose aspirin on the risk of maternal adverse outcomes. df, degrees of freedom; M-H, Mantel-Haenszel; CI, confidence interval; ASA, acetylsalicylic acid. Black diamonds indicate the weight of each study; blue squares indicate the overall result; horizontal lines indicate the sample size of the studies.
Figure 7.
Figure 7.
Forest plots of the effect of low-dose aspirin initiated on the risk of neonatal adverse outcomes. df, degrees of freedom; M-H, Mantel-Haenszel; CI, confidence interval; ASA, acetylsalicylic acid; IUGR, intrauterine growth retardation; SGA, small for gestation age infant; IV, inverse variance. Black diamonds indicate the weight of each study; blue squares indicate the overall result; horizontal lines indicate the sample size of the studies.

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