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Kohn R, Ashana DC, Vranas KC, Viglianti EM, Hauschildt K, Chen C, Vail EA, Moroz L, Gershengorn HB. The Association of Pregnancy With Outcomes Among Critically Ill Reproductive-Aged Women: A Propensity Score-Matched Retrospective Cohort Analysis. Chest 2024:S0012-3692(24)00400-8. [PMID: 38513965 DOI: 10.1016/j.chest.2024.03.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 03/04/2024] [Accepted: 03/16/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND The maternal mortality rate in the United States is unacceptably high. However, the relative contribution of pregnancy to these outcomes is unknown. Studies comparing outcomes among pregnant vs nonpregnant critically ill patients show mixed results and are limited by small sample sizes. RESEARCH QUESTION What is the association of pregnancy with critical illness outcomes? STUDY DESIGN AND METHODS We performed a retrospective cohort study of women 18 to 55 years of age who received invasive mechanical ventilation (MV) on hospital day 0 or 1 or who demonstrated sepsis on admission (infection with organ failure) discharged from Premier Healthcare Database hospitals from 2008 through 2021. The exposure was pregnancy. The primary outcome was in-hospital mortality. We created propensity scores for pregnancy (using patient and hospital characteristics) and performed 1:1 propensity score matching without replacement within age strata (to ensure exact age matching). We performed multilevel multivariable mixed-effects logistic regression for propensity-matched pairs with pair as a random effect. RESULTS Three thousand ninety-three pairs were included in the matched MV cohort, and 13,002 pairs were included in the sepsis cohort. The characteristics of both cohorts were well balanced (all standard mean differences, < 0.1). Among matched pairs, unadjusted mortality was 8.0% vs 13.8% for MV and 1.4% vs 2.3% for sepsis among pregnant and nonpregnant patients, respectively. In adjusted regression, pregnancy was associated with lower odds of in-hospital mortality (MV: OR, 0.50; 95% CI, 0.41-0.60; P < .001; sepsis: OR, 0.52; 95% CI, 0.40-0.67; P < .001). INTERPRETATION In this large US cohort, critically ill pregnant women receiving MV or with sepsis showed better survival than propensity score-matched nonpregnant women. These findings must be interpreted in the context of likely residual confounding.
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Affiliation(s)
- Rachel Kohn
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA.
| | | | - Kelly C Vranas
- Palliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania, Philadelphia, PA; Department of Medicine, Oregon Health & Science University, Portland, OR; Center to Improve Veteran Involvement in Care, Portland, OR
| | - Elizabeth M Viglianti
- Department of Internal Medicine, University of Michigan Health System, Ann Arbor, MI; Department of Internal Medicine, VA Ann Arbor, Ann Arbor, MI
| | - Katrina Hauschildt
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Catherine Chen
- Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Emily A Vail
- Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA
| | - Leslie Moroz
- Department of Obstetrics and Gynecology, Yale University, New Haven, CT
| | - Hayley B Gershengorn
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL; Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
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Zanon ABB, Júnior ERR, Monroy NAJ, de Godoi LG, de Mattos BR, Paganoti CDF, Francisco RPV, Rodrigues AS, da Costa RA. The Effect of Being Pregnant during Respiratory Pandemics: A Comparison between 2009/10 Flu and 2020/21 COVID-19 Pandemic in Brazil. Vaccines (Basel) 2022; 10:vaccines10081202. [PMID: 36016090 PMCID: PMC9415943 DOI: 10.3390/vaccines10081202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 07/22/2022] [Accepted: 07/25/2022] [Indexed: 11/23/2022] Open
Abstract
Pregnant women undergo physiological changes that make them a challenging group of patients during pandemic respiratory diseases, as previously found during H1N1 2009 pandemic and recently ratified in COVID-19 pandemic. We conducted a retrospective cohort analysis on 5888 hospitalized women for H1N1 flu pandemic (2190 pregnant and 3698 non-pregnant) and 64,515 hospitalized women for COVID-19 pandemic (5151 pregnant and 59,364 non-pregnant), from the Brazilian national database, to compare demographic profile, clinical aspects, and mortality in childbearing aged women during both pandemics. Additionally, the effect of being pregnant was compared between both pandemics. In both pandemics, pregnant women were younger than non-pregnant women. Overall, pregnant women had lower frequencies of comorbidities and were less symptomatic. Among hospitalized women, pregnant women presented lower mortality rates than non-pregnant women (9.7% vs. 12.6%, p = 0.002 in the H1N1 pandemic and 9.7% vs. 17.4%, p < 0.001 in the COVID-19 pandemic) and this difference was statistically more pronounced in the COVID-19 pandemic, even after balancing pregnant and non-pregnant groups regarding age and chronic diseases.
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Affiliation(s)
- Ana Beatrice Bonganha Zanon
- Divisão de Clinica Obstetrica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, 255 Dr. Eneas Carvalho de Aguiar Avenue, 10th Floor, São Paulo 05403-000, Brazil; (A.B.B.Z.); (C.d.F.P.)
| | - Elias Ribeiro Rosa Júnior
- Departamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil; (E.R.R.J.); (N.A.J.M.); (L.G.d.G.); (B.R.d.M.); (A.S.R.)
| | - Nátaly Adriana Jiménez Monroy
- Departamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil; (E.R.R.J.); (N.A.J.M.); (L.G.d.G.); (B.R.d.M.); (A.S.R.)
| | - Luciana Graziela de Godoi
- Departamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil; (E.R.R.J.); (N.A.J.M.); (L.G.d.G.); (B.R.d.M.); (A.S.R.)
| | - Bruna Rodrigues de Mattos
- Departamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil; (E.R.R.J.); (N.A.J.M.); (L.G.d.G.); (B.R.d.M.); (A.S.R.)
| | - Cristiane de Freitas Paganoti
- Divisão de Clinica Obstetrica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, 255 Dr. Eneas Carvalho de Aguiar Avenue, 10th Floor, São Paulo 05403-000, Brazil; (A.B.B.Z.); (C.d.F.P.)
| | - Rossana Pulcineli Vieira Francisco
- Disciplina de Obstetrícia, Departamento de Obstetrícia e Ginecologia, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, São Paulo 05403-000, Brazil;
| | - Agatha Sacramento Rodrigues
- Departamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil; (E.R.R.J.); (N.A.J.M.); (L.G.d.G.); (B.R.d.M.); (A.S.R.)
| | - Rafaela Alkmin da Costa
- Divisão de Clinica Obstetrica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, 255 Dr. Eneas Carvalho de Aguiar Avenue, 10th Floor, São Paulo 05403-000, Brazil; (A.B.B.Z.); (C.d.F.P.)
- Correspondence: ; Tel.: +55-11-2661-6209
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Trushakova S, Kisteneva L, Guglieri-López B, Mukasheva E, Kruzhkova I, Mira-Iglesias A, Krasnoslobodtsev K, Morozova E, Kolobukhina L, Puig-Barberà J, Burtseva E. Epidemiology of influenza in pregnant women hospitalized with respiratory illness in Moscow, 2012/2013-2015/2016: a hospital-based active surveillance study. BMC Pregnancy Childbirth 2019; 19:72. [PMID: 30770729 PMCID: PMC6377748 DOI: 10.1186/s12884-019-2192-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 01/15/2019] [Indexed: 12/18/2022] Open
Abstract
Background To 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. Methods This 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. Results During 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. Conclusions Pregnant women are at increased risk for hospitalization due to influenza irrespective of season, circulating viruses, or trimester. Electronic supplementary material The online version of this article (10.1186/s12884-019-2192-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Svetlana Trushakova
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation.
| | - Lidiya Kisteneva
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Beatriz Guglieri-López
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Evgenia Mukasheva
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Irina Kruzhkova
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Kirill Krasnoslobodtsev
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Ekaterina Morozova
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Ludmila Kolobukhina
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Elena Burtseva
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
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Mazagatos C, Delgado-Sanz C, Oliva J, Gherasim A, Larrauri A. Exploring the risk of severe outcomes and the role of seasonal influenza vaccination in pregnant women hospitalized with confirmed influenza, Spain, 2010/11-2015/16. PLoS One 2018; 13:e0200934. [PMID: 30089148 PMCID: PMC6082521 DOI: 10.1371/journal.pone.0200934] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 07/05/2018] [Indexed: 11/19/2022] Open
Abstract
Based on previous observations during pandemics and seasonal epidemics, pregnant women are considered at risk of developing severe influenza outcomes after influenza infection. With the aim of preventing severe influenza illness, the World Health Organization (WHO) includes pregnant women as a target group for seasonal influenza vaccination. However, influenza vaccine uptake during pregnancy remains low in many countries, including Spain. The objectives of this study were to increase the evidence of pregnancy as a risk factor for severe influenza illness and to study the potential role of seasonal influenza vaccination in the prevention of severe outcomes in infected pregnant women. Using information from the surveillance of Severe Hospitalized Confirmed Influenza Cases (SHCIC) in Spain, from seasons 2010/11 to 2015/16, we estimated that pregnant women in our study had a relative risk of hospitalization with severe influenza nearly 7.8 times higher than non-pregnant women of reproductive age. Only 5 out of 167 pregnant women with known vaccination status in our study had been vaccinated (3.6%). Such extremely low vaccination coverage only allowed obtaining crude estimates suggesting a protective effect of the vaccine against influenza complications (ICU admission or death). Our overall results support that pregnant women could benefit from seasonal influenza vaccination, in line with national and international recommendations.
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Affiliation(s)
- Clara Mazagatos
- CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III (ISCIII), Madrid, Spain
- National Centre of Epidemiology, Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Concepción Delgado-Sanz
- CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III (ISCIII), Madrid, Spain
- National Centre of Epidemiology, Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Jesús Oliva
- CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III (ISCIII), Madrid, Spain
- National Centre of Epidemiology, Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Alin Gherasim
- CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III (ISCIII), Madrid, Spain
- National Centre of Epidemiology, Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Amparo Larrauri
- CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III (ISCIII), Madrid, Spain
- National Centre of Epidemiology, Institute of Health Carlos III (ISCIII), Madrid, Spain
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Influenza A(H1N1)pdm09 infection in pregnant and non-pregnant women hospitalized in Singapore, May - December 2009. Public Health 2015; 129:769-76. [PMID: 26026347 DOI: 10.1016/j.puhe.2015.04.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2014] [Revised: 04/20/2015] [Accepted: 04/20/2015] [Indexed: 11/20/2022]
Abstract
OBJECTIVES The aim of this study was to compare the demographic and clinical characteristics of pregnant women and non-pregnant women of childbearing age hospitalized with laboratory-confirmed influenza A(H1N1)pdm09 infection in Singapore, and to assess whether pregnancy was a risk factor associated with the development of influenza-related complications. STUDY DESIGN Retrospective observational study. METHODS We retrospectively identified and collected information from available medical records of all women admitted to three tertiary hospitals between 26 May 2009 and 31 December 2009 with laboratory-confirmed influenza A(H1N1)pdm09 infection who were either pregnant or non-pregnant and of childbearing age between 15 and 50 years. RESULTS A total of 222 women, of whom 81 (36.5%) were pregnant, were hospitalized during the study period. Pregnant women were significantly more likely to be hospitalized with influenza A(H1N1)pdm09 infection than non-pregnant women of childbearing age (relative risk 26.3; 95% confidence interval: 20.1-34.6). Among those hospitalized, the proportion of pregnant women having at least one underlying medical condition that could predispose them to influenza-related complications was significantly lower than that of non-pregnant women (32.1% versus 56.0%, P < 0.001). The median time from onset of symptoms to administration of anti-viral drugs was significantly shorter among pregnant women than among non-pregnant women (three days versus five days, P < 0.001). The median length of stay in hospital was also significantly shorter among pregnant women than that of non-pregnant women (two days versus three days, P = 0.002). About 4.9% of pregnant women developed influenza-related complications, compared with 12.8% among non-pregnant women (P = 0.066). CONCLUSIONS Pregnant women with influenza A(H1N1)pdm09 infection were at a higher risk of hospitalization. Upon hospitalization, they were not at a higher risk of developing influenza-related complications.
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Weinberg A, Muresan P, Richardson KM, Fenton T, Dominguez T, Bloom A, Watts DH, Abzug MJ, Nachman SA, Levin MJ. Determinants of vaccine immunogenicity in HIV-infected pregnant women: analysis of B and T cell responses to pandemic H1N1 monovalent vaccine. PLoS One 2015; 10:e0122431. [PMID: 25874544 PMCID: PMC4395240 DOI: 10.1371/journal.pone.0122431] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Accepted: 02/11/2015] [Indexed: 11/19/2022] Open
Abstract
Influenza infections have high frequency and morbidity in HIV-infected pregnant women, underscoring the importance of vaccine-conferred protection. To identify the factors that determine vaccine immunogenicity in this group, we characterized the relationship of B- and T-cell responses to pandemic H1N1 (pH1N1) vaccine with HIV-associated immunologic and virologic characteristics. pH1N1 and seasonal-H1N1 (sH1N1) antibodies were measured in 119 HIV-infected pregnant women after two double-strength pH1N1 vaccine doses. pH1N1-IgG and IgA B-cell FluoroSpot, pH1N1- and sH1N1-interferon γ (IFNγ) and granzyme B (GrB) T-cell FluoroSpot, and flow cytometric characterization of B- and T-cell subsets were performed in 57 subjects. pH1N1-antibodies increased after vaccination, but less than previously described in healthy adults. pH1N1-IgG memory B cells (Bmem) increased, IFNγ-effector T-cells (Teff) decreased, and IgA Bmem and GrB Teff did not change. pH1N1-antibodies and Teff were significantly correlated with each other and with sH1N1-HAI and Teff, respectively, before and after vaccination. pH1N1-antibody responses to the vaccine significantly increased with high proportions of CD4+, low CD8+ and low CD8+HLADR+CD38+ activated (Tact) cells. pH1N1-IgG Bmem responses increased with high proportions of CD19+CD27+CD21- activated B cells (Bact), high CD8+CD39+ regulatory T cells (Treg), and low CD19+CD27-CD21- exhausted B cells (Bexhaust). IFNγ-Teff responses increased with low HIV plasma RNA, CD8+HLADR+CD38+ Tact, CD4+FoxP3+ Treg and CD19+IL10+ Breg. In conclusion, pre-existing antibody and Teff responses to sH1N1 were associated with increased responses to pH1N1 vaccination in HIV-infected pregnant women suggesting an important role for heterosubtypic immunologic memory. High CD4+% T cells were associated with increased, whereas high HIV replication, Tact and Bexhaust were associated with decreased vaccine immunogenicity. High Treg increased antibody responses but decreased Teff responses to the vaccine. The proportions of immature and transitional B cells did not affect the responses to vaccine. Increased Bact were associated with high Bmem responses to the vaccine.
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Affiliation(s)
- Adriana Weinberg
- University of Colorado Anschutz Medical Center, Aurora, Colorado, United States of America
- * E-mail:
| | - Petronella Muresan
- Statistical and Data Analysis Center, Center for Biostatistics in AIDS Research, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Kelly M. Richardson
- University of Colorado Anschutz Medical Center, Aurora, Colorado, United States of America
| | - Terence Fenton
- Statistical and Data Analysis Center, Center for Biostatistics in AIDS Research, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Teresa Dominguez
- University of Colorado Anschutz Medical Center, Aurora, Colorado, United States of America
| | - Anthony Bloom
- Frontier Science and Technology Research Foundation, Buffalo, New York, United States of America
| | - D. Heather Watts
- Maternal and Pediatric Infectious Disease Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, United States of America
| | - Mark J. Abzug
- University of Colorado Anschutz Medical Center, Aurora, Colorado, United States of America
| | - Sharon A. Nachman
- State University of New York Health Science Center at Stony Brook, Stony Brook, New York, United States of America
| | - Myron J. Levin
- University of Colorado Anschutz Medical Center, Aurora, Colorado, United States of America
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Cui G, Diao H, Wei Y, Chen J, Gao H, Zuo J, Yang Y, Tang L, Cao H, Chen Y, Li L. Immune influence of pregnancy on human H7N9 infection: a case report. REVISTA PORTUGUESA DE PNEUMOLOGIA 2015; 21:157-62. [PMID: 25926242 DOI: 10.1016/j.rppnen.2014.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Revised: 11/05/2014] [Accepted: 11/06/2014] [Indexed: 01/31/2023] Open
Abstract
INTRODUCTION H7N9 infection has raised serious concerns worldwide. Pregnant women were considered to be at a high risk of influenza infection. Normal pregnancy was dependent on T helper (Th) 2 deviation. However, whether pregnancy influences the immune status of influenza H7N9 patients has not been reported. CASE REPORT Here, we reported a case of pregnant woman in the first trimester with H7N9 infection compared with the two non-pregnant female H7N9 patients for clinical features and relevant immunological changes. We found that there were no differences in plasma levels of Th1 and Th2 cytokines between the pregnant and non-pregnant patients, and there was no Th2 deviation in the acute phase. However, the Th2 deviation was recurrent along with the clearance of infection in the H7N9 pregnant patient. CONCLUSION These cases highlighted that the pregnant patient infected with H7N9 could induce an effective Th1 immune response equal to that of non-pregnant patients with H7N9 virus infection, although the pregnancy itself could lead to a Th2 deviation. These data suggested that pregnant patients could acquire a similar antiviral response for H7N9 infection versus non-pregnant patients.
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Affiliation(s)
- G Cui
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - H Diao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China.
| | - Y Wei
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - J Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - H Gao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - J Zuo
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Y Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - L Tang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - H Cao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Y Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - L Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China.
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Shapshak P, Sinnott JT, Somboonwit C, Kuhn JH. Seasonal and Pandemic Influenza Surveillance and Disease Severity. GLOBAL VIROLOGY I - IDENTIFYING AND INVESTIGATING VIRAL DISEASES 2015. [PMCID: PMC7121762 DOI: 10.1007/978-1-4939-2410-3_29] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Continuous investments in influenza research, surveillance, and prevention efforts are critical to mitigate the consequences of annual influenza epidemics and pandemics. New influenza viruses emerge due to antigenic drift and antigenic shift evading human immune system and causing annual epidemics and pandemics. Three pandemics with varying disease severity occurred in the last 100 years. The disease burden and determinants of influenza severity depend on circulating viral strains and individual demographic and clinical factors. Surveillance is the most effective strategy for appropriate public health response. Active and passive surveillance methods are utilized to monitor influenza epidemics and emergence of novel viruses. Meaningful use of electronic health records could be a cost-effective approach to improved influenza surveillance
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Affiliation(s)
- Paul Shapshak
- Division of Infectious Diseases and International Medicine, USF Morsani College of Medicine, Tampa, Florida USA
| | - John T. Sinnott
- Infectious Diseases and International He, USF Morsani College of Medicine, Tampa, Florida USA
| | - Charurut Somboonwit
- Division of Infectious Diseases and Inte, USF Morsani College of Medicine, Tampa, Florida USA
| | - Jens H. Kuhn
- C.W. Bill Young Center for Biodefense & Emerging Infectious Diseases, NIH-NIAID Div. Clinical Research, Frederick, Maryland USA
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Berera D, Zambon M. Antivirals in the 2009 pandemic--lessons and implications for future strategies. Influenza Other Respir Viruses 2014; 7 Suppl 3:72-9. [PMID: 24215385 DOI: 10.1111/irv.12172] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The World Health Organization's declaration of an imminent swine-origin influenza A pandemic in April 2009 triggered the global launch of national pandemic preparedness plans. An integral component of pandemic preparedness in many countries was the targeted use of antiviral therapy for containment, disease mitigation, and treatment. The 2009 pandemic marked the first pandemic during which influenza antivirals were available for global use. Although most national pandemic plans included provisions for antiviral treatment, these pre-determined protocols required frequent updating as more information became available about the virus, and its susceptibility to antiviral agents, the epidemiology of infection, and the population groups that were most susceptible to severe disease. National public health agencies in countries with both plans for use of antivirals and pre-existing stockpiles, including those in Japan, the United Kingdom, and the United States, operated distinctly different antiviral distribution and treatment programs from one another. In the 3 years following the pandemic, there is still little comparison of the diversity of national antiviral treatment policies and drug distribution mechanisms that were implemented, whether they had any mitigating effects and which might be most efficient. The purpose of this study is to outline roles of antiviral medicines in a pandemic period, provide insights into the diversity of antiviral treatment and distribution policies applied by selected countries between April 2009-July 2010, and to stimulate discussion on whether these policies remain appropriate for implementation in future pandemics.
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Affiliation(s)
- Deeva Berera
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA; College of Medicine, University of Central Florida, Orlando, FL, USA
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Impact on pregnancies in south Brazil from the influenza A (H1N1) pandemic: cohort study. PLoS One 2014; 9:e88624. [PMID: 24558404 PMCID: PMC3928255 DOI: 10.1371/journal.pone.0088624] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2013] [Accepted: 01/15/2014] [Indexed: 11/29/2022] Open
Abstract
Introduction The emergence of a new subtype of the influenza virus in 2009 generated interest in the international medical community, the media, and the general population. Pregnant women are considered to be a group at risk of serious complications related to the H1N1 influenza virus. The aim of this study was to evaluate the outcomes and teratogenic effects of pregnancies exposed to the H1N1 virus during the Influenza A epidemic that occurred in the state of Rio Grande do Sul in 2009. Methods This is an uncontrolled prospective cohort study of pregnant women with suspected symptoms of Influenza A who were reported in the Information System for Notifiable Diseases – Influenza (SINAN-Influenza) during the epidemic of 2009 (database from the state of Rio Grande do Sul, Brazil). There were 589 cases of pregnant women with suspected infection. Among these, 243 were tested by PCR and included in the analysis. The main outcome measures were: maternal deaths, pregnancy outcome, stillbirths, premature births, low birth weight, congenital malformations, and odds ratios for H1N1+ and non-H1N1 pregnant women. Results There were one hundred and sixty-three (67%) confirmed cases of H1N1, 34 cases (14%) of seasonal Influenza A and 46 (19%) who were negative for Influenza A. There was no difference between the three groups in clinical parameters of the disease. There were 24 maternal deaths — 18 of them had H1N1. There were 8 stillbirths — 5 were children of H1N1 infected mothers. There were no differences in perinatal outcomes. Conclusions The present data do not indicate an increase in teratogenic risk from exposure to the influenza A (H1N1) virus. These results will help to strengthen the data and clarify the health issues that arose after the pandemic.
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Lohm D, Flowers P, Stephenson N, Waller E, Davis MDM. Biography, pandemic time and risk: Pregnant women reflecting on their experiences of the 2009 influenza pandemic. Health (London) 2014; 18:493-508. [PMID: 24481774 DOI: 10.1177/1363459313516135] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
During the 2009 H1N1 pandemic, it was identified that women in the third trimester of pregnancy were particularly at risk of serious respiratory distress. At-risk women were advised to seek vaccination, avoid contact with anyone unwell, maintain hygiene routines and stop smoking. We examine this situation of emergent and intense risk produced at the intersection of individual biography and the historical event of a public health emergency. We examine how pregnant women took account of risk, how they negotiated incomplete and at times contradictory advice and shaped courses of action that assisted them to manage the emerging terrain of pandemic threat. Public health risk management advice was endorsed, although choosing vaccination was fraught. Social distancing, too, was seen as a valuable risk moderation strategy. However, time, and specifically the intersection of individual pregnancy timelines with the pandemic's timeline, was also seen as an important risk management resource. The implications of this mix of sanctioned and temporal risk management practices are discussed.
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Affiliation(s)
| | | | | | - Emily Waller
- The University of New South Wales (UNSW), Australia
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Bateman BT, Mhyre JM, Hernandez-Diaz S, Huybrechts KF, Fischer MA, Creanga AA, Callaghan WM, Gagne JJ. Development of a comorbidity index for use in obstetric patients. Obstet Gynecol 2013; 122:957-965. [PMID: 24104771 PMCID: PMC3829199 DOI: 10.1097/aog.0b013e3182a603bb] [Citation(s) in RCA: 314] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To develop and validate a maternal comorbidity index to predict severe maternal morbidity, defined as the occurrence of acute maternal end-organ injury, or mortality. METHODS Data were derived from the Medicaid Analytic eXtract for the years 2000-2007. The primary outcome was defined as the occurrence of maternal end-organ injury or death during the delivery hospitalization through 30 days postpartum. The data set was randomly divided into a two-thirds development cohort and a one-third validation cohort. Using the development cohort, a logistic regression model predicting the primary outcome was created using a stepwise selection algorithm that included 24-candidate comorbid conditions and maternal age. Each of the conditions included in the final model was assigned a weight based on its beta coefficient, and these were used to calculate a maternal comorbidity index. RESULTS The cohort included 854,823 completed pregnancies, of which 9,901 (1.2%) were complicated by the primary study outcome. The derived score included 20 maternal conditions and maternal age. For each point increase in the score, the odds ratio for the primary outcome was 1.37 (95% confidence interval [CI] 1.35-1.39). The c-statistic for this model was 0.657 (95% CI 0.647-0.666). The derived score performed significantly better than available comorbidity indices in predicting maternal morbidity and mortality. CONCLUSION This new maternal comorbidity index provides a simple measure for summarizing the burden of maternal illness for use in the conduct of epidemiologic, health services, and comparative effectiveness research. LEVEL OF EVIDENCE II.
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Affiliation(s)
- Brian T. Bateman
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Anesthesiology, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jill M. Mhyre
- Department of Anesthesiology, University of Michigan Health System, Ann Arbor, Michigan
| | - Sonia Hernandez-Diaz
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Krista F. Huybrechts
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Michael A. Fischer
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Andreea A. Creanga
- Division of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - William M. Callaghan
- Division of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Joshua J. Gagne
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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Abstract
Influenza is a common virus whose ability to change its genetic makeup allows for disease of pandemic proportion. This article summarizes the different strains of influenza circulating in the United States for the past century, the diagnosis and treatment of influenza, as well as the different ways to prevent disease. This information will be of value to clinicians caring for patients both in the hospital and in the community.
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Affiliation(s)
- Angelena M Labella
- Section of Hospital Medicine, Division of General Medicine, Department of Medicine, New York Presbyterian, Columbia University Medical Center, 177 Fort Washington Avenue, New York, NY 10032, USA.
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Abzug MJ, Nachman SA, Muresan P, Handelsman E, Watts DH, Fenton T, Heckman B, Petzold E, Weinberg A, Levin MJ. Safety and immunogenicity of 2009 pH1N1 vaccination in HIV-infected pregnant women. Clin Infect Dis 2013; 56:1488-97. [PMID: 23378284 DOI: 10.1093/cid/cit057] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Pregnant women infected with human immunodeficiency virus (HIV) may have particular vulnerability to 2009 pandemic H1N1 influenza (pH1N1) infection. The safety and immunogenicity of pH1N1 vaccination in HIV-infected pregnant women are unknown. METHODS HIV-infected women 18-39 years of age and 14-34 weeks' gestation on antiretroviral therapy received two 30-μg doses of unadjuvanted, inactivated pH1N1 vaccine 21 days apart. Hemagglutination inhibition titers were measured at entry, 21 days after dose 1, and 10 and 21 days after dose 2, and, in mothers and infants, at delivery and 3 and 6 months postdelivery. RESULTS No severe vaccine-related adverse events were observed among 127 subjects. At entry, 21% had seroprotective (≥1:40) titers. Seroprotection and seroresponse (≥4-fold rise) occurred in 73% and 66% after dose 1 and 80% and 72% after dose 2, respectively. Of women lacking seroprotection at entry, 66% attained seroprotection after dose 1 and 75% after dose 2. Seroprotective titers were present in 67% of mothers and 65% of infants at delivery (median 66 days after dose 2), 60% of mothers and 26% of infants at 3 months postdelivery, and 59% of mothers and 12% of infants at 6 months postdelivery. CONCLUSIONS Two 30-μg doses were moderately immunogenic in HIV-infected pregnant women. No concerning vaccine-related safety signals were observed. Seroprotection persisted in most women postpartum. Efficient transplacental antibody transfer occurred, but seroprotection in infants waned rapidly. Vaccination to protect HIV-infected pregnant women and their newborns from new influenza strains is feasible, but more immunogenic platforms should be evaluated. Clinical Trials Registration. NCT00992017.
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Affiliation(s)
- Mark J Abzug
- Department of Pediatrics, Infectious Diseases, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA.
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