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    Incidence and causes of perinatal death in prenataly diagnosed Vasa Previa: A systematic review and meta-analysis

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    To estimate the perinatal mortality associated with prenatally diagnosed vasa previa, and to determine what proportion of those perinatal deaths are directly attributable to vasa previa. PubMed, Scopus, Web of Science, and Embase databases from January 1, 1987 to January 1, 2023. We included all studies (cohort studies and case reports/series) that had patients in which a prenatal diagnosis of vasa previa was made. Case series/reports were excluded from the meta-analysis. All cases in which prenatal diagnosis was not made were excluded from the study. The programming language software R (version 4.2.2) was used to conduct the meta-analysis. The data was logit-transformed and pooled using the fixed-effects model. The between-study heterogeneity was reported by I . The publication bias was evaluated by funnel plot and Peters' regression test. The Newcastle-Ottawa scale was used to assess the risk of bias. Overall, 113 studies with a cumulative sample size of 1297 pregnant individuals were included. There included 25 cohort studies with 1167 pregnancies and 88 case series/reports with 130 pregnancies. Thirteen perinatal deaths occurred among these pregnancies, consisting of two stillbirths and 11 neonatal deaths. Among the cohort studies, the overall perinatal mortality was 0.94% (95% CI: 0.52-1.70, I = 0.0%). The pooled perinatal mortality attributed to vasa previa was 0.51% (95% CI: 0.23-1.14, I = 0.0%). Stillbirth and neonatal death were reported in 0.20% (95% CI: 0.05-0.80, I = 0.0%) and 0.77% (95% CI: 0.40-1.48, I = 0.0%) of pregnancies, respectively. Perinatal death is uncommon after a prenatal diagnosis of vasa previa. About half of the cases of perinatal mortality are not directly attributable to vasa previa. This information will help in guiding physicians in counseling and will provide reassurance to pregnant individuals with a prenatal diagnosis of vasa previa. [Abstract copyright: Copyright © 2023 Elsevier Inc. All rights reserved.
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