Your browser doesn't support javascript.
loading
Neonatal outcomes during the COVID-19 pandemic in New York City
Felix S Richter; Arielle S Strasser; Mayte Suarez Farinas; Shan Zhao; Girish Nadkarni; Ethylin Wang Jabs; Katherine Guttmann; Benjamin S Glicksberg.
Afiliação
  • Felix S Richter; Icahn School of Medicine at Mount Sinai
  • Arielle S Strasser; Icahn School of Medicine at Mount Sinai
  • Mayte Suarez Farinas; Icahn School of Medicine at Mount Sinai
  • Shan Zhao; Icahn School of Medicine at Mount Sinai
  • Girish Nadkarni; Icahn School of Medicine at Mount Sinai
  • Ethylin Wang Jabs; Icahn School of Medicine at Mount Sinai
  • Katherine Guttmann; Icahn School of Medicine at Mount Sinai
  • Benjamin S Glicksberg; Icahn School of Medicine at Mount Sinai
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20248583
Artigo de periódico
Um artigo publicado em periódico científico está disponível e provavelmente é baseado neste preprint, por meio do reconhecimento de similaridade realizado por uma máquina. A confirmação humana ainda está pendente.
Ver artigo de periódico
ABSTRACT
We explored rates of premature births and neonatal intensive care unit (NICU) admissions at the Mount Sinai Hospital after the implementation of COVID-19 lockdown measures (March 16, 2020) and phase one reopening (June 8, 2020), comparing them to those of the same time periods from 2012-2019. Mount Sinai Hospital is in New York City (NYC), an early epicenter of COVID-19 in the United States, which was heavily impacted by the pandemic during the study period. Among 43,963 singleton births, we observed no difference in either outcome after the implementation of lockdown measures when compared to the same trends in prior years (p=0.09-0.35). Of interest, we observed a statistically significant decrease in premature births after NYC phase one reopening compared to those of the same time period in 2012-2019 across all time windows (p=0.0028-0.049), and a statistically significant decrease in NICU admissions over the largest time window (2.75 months) compared to prior years (p=0.0011).
Licença
cc_by_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint