Literature DB >> 31891729

Measles in pregnant women: A systematic review of clinical outcomes and a meta-analysis of antibodies seroprevalence.

Paola Congera1, Alberto Enrico Maraolo2, Serena Parente2, Nicola Schiano Moriello2, Vincenzo Bianco2, Grazia Tosone2.   

Abstract

OBJECTIVES: Pregnant women represent a category at high risk of severe measles infection, that negatively affects the fetus as well. A systematic review of clinical outcomes of measles infection in gravid subjects and a meta-analysis of antibodies prevalence among pregnant women was conducted.
METHODS: MEDLINE and EMBASE databases were searched up to 18 June 2018. The screening focused on: (i) articles describing the outcome of measles in pregnancy, synthesized in a descriptive fashion; (ii) articles addressing the measles seroprevalence in cohorts of gravid women, analysed quantitatively.
RESULTS: Twenty-nine articles met inclusion criteria. A total of 420 cases of measles in gravid subjects were described, from 1941 to 2012. Among women, 18 deaths (4.3%) occurred, and the most frequent complication was pneumonia (75/420, 17.9%). Prematurity was the most important complication concerning fetal outcomes (55 out of 410 cases with available data, 13.4%). The random-effects pooled seroprevalence of measles in 20,546 gravid women worldwide was 89.3% (95% CI: 87.3-91.1%), that decreased, although not in a statistically significant way, over time (p = 0.54).
CONCLUSIONS: Measles infection in pregnancy is dangerous both for the mother and the foetus. Antibody seroprevalence among gravid women on a global scale is lower than the herd immunity threshold.
Copyright © 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Delivery; Maternal outcome; Measles; Meta-analysis; Pregnancy; Systematic review; Women

Year:  2019        PMID: 31891729     DOI: 10.1016/j.jinf.2019.12.012

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


  2 in total

1.  Evaluating Measles Incidence Rates Using Machine Learning and Time Series Methods in the Center of Iran, 1997-2020.

Authors:  Javad Nazari; Parnia-Sadat Fathi; Nahid Sharahi; Majid Taheri; Payam Amini; Amir Almasi-Hashiani
Journal:  Iran J Public Health       Date:  2022-04       Impact factor: 1.479

2.  Measles immunity gap among reproductive-age women participating in a simulated HIV vaccine efficacy trial in Zambia.

Authors:  Kalonde Malama; Amanda Tichacek; Hilary Kelly; Rachel Parker; Mubiana Inambao; Tyronza Sharkey; Kristin M Wall; William Kilembe; Matt A Price; Pat Fast; Fran Priddy; Susan Allen
Journal:  Hum Vaccin Immunother       Date:  2022-04-21       Impact factor: 4.526

  2 in total

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