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Mechanical ventilation and death in pregnant patients admitted for COVID-19: a prognostic analysis from the Brazilian COVID-19 registry score.


ABSTRACT:

Background

The assessment of clinical prognosis of pregnant COVID-19 patients at hospital presentation is challenging, due to physiological adaptations during pregnancy. Our aim was to assess the performance of the ABC2-SPH score to predict in-hospital mortality and mechanical ventilation support in pregnant patients with COVID-19, to assess the frequency of adverse pregnancy outcomes, and characteristics of pregnant women who died.

Methods

This multicenter cohort included consecutive pregnant patients with COVID-19 admitted to the participating hospitals, from April/2020 to March/2022. Primary outcomes were in-hospital mortality and the composite outcome of mechanical ventilation support and in-hospital mortality. Secondary endpoints were pregnancy outcomes. The overall discrimination of the model was presented as the area under the receiver operating characteristic curve (AUROC). Overall performance was assessed using the Brier score.

Results

From 350 pregnant patients (median age 30 [interquartile range (25.2, 35.0)] years-old]), 11.1% had hypertensive disorders, 19.7% required mechanical ventilation support and 6.0% died. The AUROC for in-hospital mortality and for the composite outcome were 0.809 (95% IC: 0.641-0.944) and 0.704 (95% IC: 0.617-0.792), respectively, with good overall performance (Brier = 0.0384 and 0.1610, respectively). Calibration was good for the prediction of in-hospital mortality, but poor for the composite outcome. Women who died had a median age 4 years-old higher, higher frequency of hypertensive disorders (38.1% vs. 9.4%, p < 0.001) and obesity (28.6% vs. 10.6%, p = 0.025) than those who were discharged alive, and their newborns had lower birth weight (2000 vs. 2813, p = 0.001) and five-minute Apgar score (3.0 vs. 8.0, p < 0.001).

Conclusions

The ABC2-SPH score had good overall performance for in-hospital mortality and the composite outcome mechanical ventilation and in-hospital mortality. Calibration was good for the prediction of in-hospital mortality, but it was poor for the composite outcome. Therefore, the score may be useful to predict in-hospital mortality in pregnant patients with COVID-19, in addition to clinical judgment. Newborns from women who died had lower birth weight and Apgar score than those who were discharged alive.

SUBMITTER: Reis ZSN 

PROVIDER: S-EPMC9830611 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Mechanical ventilation and death in pregnant patients admitted for COVID-19: a prognostic analysis from the Brazilian COVID-19 registry score.

Reis Zilma Silveira Nogueira ZSN   Pires Magda Carvalho MC   Ramos Lucas Emanuel Ferreira LEF   Sales Thaís Lorenna Souza TLS   Delfino-Pereira Polianna P   Martins Karina Paula Medeiros Prado KPMP   Garbini Andresa Fontoura AF   Gomes Angélica Gomides Dos Reis AGDR   Pessoa Bruno Porto BP   Matos Carolina Cunha CC   Cimini Christiane Corrêa Rodrigues CCR   Rempel Claudete C   Ponce Daniela D   Aranha Felipe Ferraz Martins Graça FFMG   Anschau Fernando F   Crestani Gabriela Petry GP   Grizende Genna Maira Santos GMS   Bastos Gisele Alsina Nader GAN   Goedert Giulia Maria Dos Santos GMDS   Menezes Luanna Silva Monteiro LSM   Carneiro Marcelo M   Tolfo Marcia Ffner MF   Corrêa Maria Augusta Matos MAM   Amorim Mariani Maciel de MM   Guimarães Júnior Milton Henriques MH   Durães Pamela Andrea Alves PAA   Rosa Patryk Marques da Silva PMDS   Martelli Petrônio José de Lima PJL   Almeida Rafaela Santos Charão de RSC   Martins Raphael Castro RC   Alvarenga Samuel Penchel SP   Boersma Eric E   Aguiar Regina Amélia Lopes Pessoa de RALP   Marcolino Milena Soriano MS  

BMC pregnancy and childbirth 20230110 1


<h4>Background</h4>The assessment of clinical prognosis of pregnant COVID-19 patients at hospital presentation is challenging, due to physiological adaptations during pregnancy. Our aim was to assess the performance of the ABC<sub>2</sub>-SPH score to predict in-hospital mortality and mechanical ventilation support in pregnant patients with COVID-19, to assess the frequency of adverse pregnancy outcomes, and characteristics of pregnant women who died.<h4>Methods</h4>This multicenter cohort inclu  ...[more]

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