Evidence map›Paper›PMID 30770729›Full record

ArticleBMC pregnancy and childbirth2019

Epidemiology of influenza in pregnant women hospitalized with respiratory illness in Moscow, 2012/2013-2015/2016: a hospital-based active surveillance study.

Svetlana Trushakova, Lidiya Kisteneva, Beatriz Guglieri-López, Evgenia Mukasheva, Irina Kruzhkova, Ainara Mira-Iglesias, Kirill Krasnoslobodtsev, Ekaterina Morozova, Ludmila Kolobukhina, Joan Puig-Barberà and 1 more

Abstract read
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Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Svetlana TrushakovaMinistry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation. s.trushakova@gmail.com.
Lidiya KistenevaMinistry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation.
Beatriz Guglieri-LópezFundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain.
Evgenia MukashevaMinistry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation.
Irina KruzhkovaMinistry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation.
Ainara Mira-IglesiasFundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain.
Kirill KrasnoslobodtsevFundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain.
Ekaterina MorozovaFundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain.
Ludmila KolobukhinaMinistry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation.
Joan Puig-BarberàFundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain.
Elena BurtsevaMinistry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo better understand the impact of seasonal influenza in pregnant women we analyzed data collected during four seasons at a hospital for acute respiratory infection that specializes in treating pregnant women.

methodsThis was a single-center active surveillance study of women 15-44 years of age hospitalized for acute respiratory diseases between 2012/2013 and 2015/2016 in Moscow, Russian Federation. Women had to have been hospitalized within 7 days of the onset of symptoms. Swabs were taken within 48 h of admission, and influenza was detected by reverse transcription-polymerase chain reaction.

resultsDuring the four seasons, of the 1992 hospitalized women 1748 were pregnant. Laboratory-confirmed influenza was detected more frequently in pregnant women (825/1748; 47.2%) than non-pregnant women (58/244; 23.8%) (OR for influenza = 2.87 [95% CI, 2.10-3.92]; p <  0.001). This pattern was homogenous across seasons (p = 0.112 by test of homogeneity of equal odds). Influenza A(H1N1)pdm09 was the dominant strain in 2012/2013, A(H3N2) in 2013/2014, B/Yamagata lineage and A(H3N2) in 2014/2015, and A(H1N1)pdm09 in 2015/2016. Influenza-positive pregnant admissions went to the hospital sooner than influenza-negative pregnant admissions (p <  0.001). The risk of influenza increased by 2% with each year of age and was higher in women with underlying conditions (OR = 1.52 [95% CI, 1.16 to 1.99]). Pregnant women positive for influenza were homogeneously distributed by trimester (p = 0.37 for homogeneity; p = 0.49 for trend). Frequencies of stillbirth, delivery, preterm delivery, and caesarean delivery did not significantly differ between influenza-positive and influenza-negative hospitalized pregnant women or between subtypes/lineages.

conclusionsPregnant women are at increased risk for hospitalization due to influenza irrespective of season, circulating viruses, or trimester.

Indexed as

Population SurveillanceAcute DiseaseAdolescentAdultFemaleHospitalizationHospitalsHumansInfluenza, HumanMoscowPregnancyPregnancy Complications, InfectiousRespiratory Tract InfectionsSeasonsYoung AdultHospitalizationInfluenzaPregnancySurveillance

Identifiers

PMID30770729
PMCPMC6377748

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.