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Prediction of COVID-19 Severity at Delivery after Asymptomatic or Mild COVID-19 during Pregnancy.
Sandoval, Grecio J; Metz, Torri D; Grobman, William A; Manuck, Tracy A; Hughes, Brenna L; Saade, George R; Longo, Monica; Simhan, Hyagriv N; Rouse, Dwight J; Mendez-Figueroa, Hector; Gyamfi-Bannerman, Cynthia; Ranzini, Angela C; Costantine, Maged M; Sehdev, Harish M; Tita, Alan T N.
Affiliation
  • Sandoval GJ; Biostatistics Center, George Washington University, Washington, District of Columbia.
  • Metz TD; Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah.
  • Grobman WA; Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois.
  • Manuck TA; Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina.
  • Hughes BL; Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina.
  • Saade GR; Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas.
  • Longo M; Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
  • Simhan HN; Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Rouse DJ; Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island.
  • Mendez-Figueroa H; Department of Obstetrics and Gynecology, Children's Memorial Hermann Hospital, University of Texas Health Science Center at Houston, Houston, Texas.
  • Gyamfi-Bannerman C; Department of Obstetrics and Gynecology, Columbia University, New York, New York.
  • Ranzini AC; Department of Obstetrics and Gynecology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio.
  • Costantine MM; Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio.
  • Sehdev HM; Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Tita ATN; Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.
Am J Perinatol ; 2024 May 10.
Article in En | MEDLINE | ID: mdl-38729164
ABSTRACT

OBJECTIVE:

This study aimed to develop a prediction model that estimates the probability that a pregnant person who has had asymptomatic or mild coronavirus disease 2019 (COVID-19) prior to delivery admission will progress in severity to moderate, severe, or critical COVID-19. STUDY

DESIGN:

This was a secondary analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients who delivered from March through December 2020 at hospitals across the United States. Those eligible for this analysis presented for delivery with a current or previous asymptomatic or mild SARS-CoV-2 infection. The primary outcome was moderate, severe, or critical COVID-19 during the delivery admission through 42 days postpartum. The prediction model was developed and internally validated using stratified cross-validation with stepwise backward elimination, incorporating only variables that were known on the day of hospital admission.

RESULTS:

Of the 2,818 patients included, 26 (0.9%; 95% confidence interval [CI], 0.6-1.3%) developed moderate-severe-critical COVID-19 during the study period. Variables in the prediction model were gestational age at delivery admission (adjusted odds ratio [aOR], 1.15; 95% CI, 1.08-1.22 per 1-week decrease), a hypertensive disorder in a prior pregnancy (aOR 3.05; 95% CI, 1.25-7.46), and systolic blood pressure at admission (aOR, 1.04; 95% CI, 1.02-1.05 per mm Hg increase). This model yielded an area under the receiver operating characteristic curve of 0.82 (95% CI, 0.72-0.91).

CONCLUSION:

Among individuals presenting for delivery who had asymptomatic-mild COVID-19, gestational age at delivery admission, a hypertensive disorder in a prior pregnancy, and systolic blood pressure at admission were predictive of delivering with moderate, severe, or critical COVID-19. This prediction model may be a useful tool to optimize resources for SARS-CoV-2-infected pregnant individuals admitted for delivery. KEY POINTS · Three factors were associated with delivery with more severe COVID-19.. · The developed model yielded an area under the receiver operating characteristic curve of 0.82 and model fit was good.. · The model may be useful tool for SARS-CoV-2 infected pregnancies admitted for delivery..

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Am J Perinatol Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Am J Perinatol Year: 2024 Document type: Article
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