Evidence map›Paper›PMID 27207244›Full record

ArticleBMC infectious diseases2016

Severe maternal morbidity due to respiratory disease and impact of 2009 H1N1 influenza A pandemic in Brazil: results from a national multicenter cross-sectional study.

L C Pfitscher, J G Cecatti, R C Pacagnella, S M Haddad, M A Parpinelli, J P Souza, S M Quintana, F G Surita, M H Sousa, M L Costa and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. The impact of the COVID-19 pandemic on the diagnosis and management of pre-eclampsia: Identifying healthcare delays.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Maternal Deaths from COVID-19 in Brazil: Increase during the Second Wave of the Pandemic.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022
    Article
  9. Article
  10. Article
  11. Mortality in pregnancy and the postpartum period in women with severe acute respiratory distress syndrome related to COVID-19 in Brazil, 2020.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2021
    Article
  12. Call to action for a South American network to fight COVID-19 in pregnancy.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2020
    Article
  13. Article
  14. The fetal origins of mental illness.American journal of obstetrics and gynecology · 2019
    Review
  15. Article
  16. The impact of hypertension, hemorrhage, and other maternal morbidities on functioning in the postpartum period as assessed by the WHODAS 2.0 36-item tool.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2018
    Article
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 at 2 institutions in 1 country.

L C PfitscherDepartment of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medicine, Alexander Fleming, 101, 13083-881, Campinas, São Paulo, Brazil.
J G CecattiDepartment of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medicine, Alexander Fleming, 101, 13083-881, Campinas, São Paulo, Brazil.
R C PacagnellaDepartment of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medicine, Alexander Fleming, 101, 13083-881, Campinas, São Paulo, Brazil.
S M HaddadDepartment of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medicine, Alexander Fleming, 101, 13083-881, Campinas, São Paulo, Brazil.
M A ParpinelliDepartment of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medicine, Alexander Fleming, 101, 13083-881, Campinas, São Paulo, Brazil.
J P SouzaDepartment of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medicine, Alexander Fleming, 101, 13083-881, Campinas, São Paulo, Brazil.
S M QuintanaDepartment of Obstetrics and Gynecology, University of São Paulo School of Medicine in Ribeirão Preto (USPRP), São Paulo, Brazil.
F G SuritaDepartment of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medicine, Alexander Fleming, 101, 13083-881, Campinas, São Paulo, Brazil.
M H SousaDepartment of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medicine, Alexander Fleming, 101, 13083-881, Campinas, São Paulo, Brazil.
M L CostaDepartment of Obstetrics and Gynecology, University of Campinas (UNICAMP), School of Medicine, Alexander Fleming, 101, 13083-881, Campinas, São Paulo, Brazil. mlaura@unicamp.br.
Brazilian Network for Surveillance of Severe Maternal Morbidity Group
Universidade Estadual de Campinas (UNICAMP) · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to assess the burden of respiratory disease, considering the influenza A pandemic season (H1N1pdm09), within the Brazilian Network for Surveillance of Severe Maternal Morbidity, and factors associated with worse maternal outcome.

methodsA multicenter cross-sectional study, involving 27 referral maternity hospitals in five Brazilian regions. Cases were identified in a prospective surveillance by using the WHO standardized criteria for potentially life-threatening conditions (PLTC) and maternal near miss (MNM). Women with severe complications from respiratory disease identified as suspected or confirmed cases of H1N1 influenza or respiratory failure were compared to those with other causes of severe morbidity. A review of suspected H1N1 influenza cases classified women as non-tested, tested positive and tested negative, comparing their outcomes. Factors associated with severe maternal outcome (SMO = MNM + MD) were assessed in both groups, in comparison to PLTC, using PR and 95 % CI adjusted for design effect of cluster sampling.

resultsAmong 9555 cases of severe maternal morbidity, 485 (5 %) had respiratory disease. Respiratory disease occurred in one-quarter of MNM cases and two-thirds of MD. H1N1 virus was suspected in 206 cases with respiratory illness. Around 60 % of these women were tested, yielding 49 confirmed cases. Confirmed H1N1 influenza cases had worse adverse outcomes (MNM:MD ratio < 1 (0.9:1), compared to 12:1 in cases due to other causes), and a mortality index > 50 %, in comparison to 7.4 % in other causes of severe maternal morbidity. Delay in medical care was associated with SMO in all cases considered, with a two-fold increased risk among respiratory disease patients. Perinatal outcome was worse in cases complicated by respiratory disease, with increased prematurity, stillbirth, low birth weight and Apgar score < 7.

conclusionsRespiratory disease, especially considering the influenza season, is a very severe cause of maternal near miss and death. Increased awareness about this condition, preventive vaccination during pregnancy, early diagnosis and treatment are required to improve maternal health.

Indexed as

AdultBrazilCross-Sectional StudiesFemaleHospitals, MaternityHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMaternal MortalityPregnancyPregnancy ComplicationsProspective StudiesReferral and ConsultationRespiratory Tract DiseasesYoung AdultH1N1Maternal morbidityMaternal mortalityMaternal near missRespiratory disease

Identifiers

PMID27207244
PMCPMC4894555
OpenAlexW2398395123

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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.