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Forecasting the impact of coronavirus disease during delivery hospitalization: an aid for resource utilization.
Putra, Manesha; Kesavan, Malavika; Brackney, Kerri; Hackney, David N; Roosa, Kimberlyn M.
Afiliação
  • Putra M; Division of Maternal-Fetal Medicine, Department of Reproductive Biology, MetroHealth Medical Center, Cleveland, OH.
  • Kesavan M; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University Hospitals Cleveland Medical Center, Cleveland, OH.
  • Brackney K; Department of Reproductive Biology, Case Western Reserve University School of Medicine, Cleveland, OH.
  • Hackney DN; Department of Reproductive Biology, Case Western Reserve University School of Medicine, Cleveland, OH.
  • Roosa KM; Division of Maternal-Fetal Medicine, Department of Reproductive Biology, MetroHealth Medical Center, Cleveland, OH.
Am J Obstet Gynecol MFM ; 2(3): 100127, 2020 08.
Article em En | MEDLINE | ID: mdl-32342041
ABSTRACT

Background:

The ongoing coronavirus disease 2019 pandemic has severely affected the United States. During infectious disease outbreaks, forecasting models are often developed to inform resource utilization. Pregnancy and delivery pose unique challenges, given the altered maternal immune system and the fact that most American women choose to deliver in the hospital setting.

Objective:

This study aimed to forecast the first pandemic wave of coronavirus disease 2019 in the general population and the incidence of severe, critical, and fatal coronavirus disease 2019 cases during delivery hospitalization in the United States. Study

Design:

We used a phenomenological model to forecast the incidence of the first wave of coronavirus disease 2019 in the United States. Incidence data from March 1, 2020, to April 14, 2020, were used to calibrate the generalized logistic growth model. Subsequently, Monte Carlo simulation was performed for each week from March 1, 2020, to estimate the incidence of coronavirus disease 2019 for delivery hospitalizations during the first pandemic wave using the available data estimate.

Results:

From March 1, 2020, our model forecasted a total of 860,475 cases of coronavirus disease 2019 in the general population across the United States for the first pandemic wave. The cumulative incidence of coronavirus disease 2019 during delivery hospitalization is anticipated to be 16,601 (95% confidence interval, 9711-23,491) cases, 3308 (95% confidence interval, 1755-4861) cases of which are expected to be severe, 681 (95% confidence interval, 1324-1038) critical, and 52 (95% confidence interval, 23-81) fatal. Assuming similar baseline maternal mortality rate as the year 2018, we projected an increase in maternal mortality rate in the United States to at least 18.7 (95% confidence interval, 18.0-19.5) deaths per 100,000 live births as a direct result of coronavirus disease 2019.

Conclusion:

Coronavirus disease 2019 in pregnant women is expected to severely affect obstetrical care. From March 1, 2020, we forecast 3308 severe and 681 critical cases with about 52 coronavirus disease 2019-related maternal mortalities during delivery hospitalization for the first pandemic wave in the United States. These results are significant for informing counseling and resource allocation.
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Texto completo: 1 Temas: ECOS / Aspectos_gerais / Financiamentos_gastos Bases de dados: MEDLINE Assunto principal: Complicações Infecciosas na Gravidez / Alocação de Recursos para a Atenção à Saúde / Parto Obstétrico / Alocação de Recursos / COVID-19 / Hospitalização / Obstetrícia Tipo de estudo: Health_economic_evaluation / Incidence_studies / Prognostic_studies / Qualitative_research Aspecto: Implementation_research Limite: Adult / Female / Humans / Pregnancy País/Região como assunto: America do norte Idioma: En Revista: Am J Obstet Gynecol MFM Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Temas: ECOS / Aspectos_gerais / Financiamentos_gastos Bases de dados: MEDLINE Assunto principal: Complicações Infecciosas na Gravidez / Alocação de Recursos para a Atenção à Saúde / Parto Obstétrico / Alocação de Recursos / COVID-19 / Hospitalização / Obstetrícia Tipo de estudo: Health_economic_evaluation / Incidence_studies / Prognostic_studies / Qualitative_research Aspecto: Implementation_research Limite: Adult / Female / Humans / Pregnancy País/Região como assunto: America do norte Idioma: En Revista: Am J Obstet Gynecol MFM Ano de publicação: 2020 Tipo de documento: Article