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Recognition and Treatment of Severe COVID-19 in Pregnancy: Lessons from a Cohort of 69 Infected Women and an Evidence-Based Guideline (preprint)
authorea preprints; 2020.
Preprint in English | PREPRINT-AUTHOREA PREPRINTS | ID: ppzbmed-10.22541.au.160616173.35255142.v1
ABSTRACT

Objectives:

To determine clinical and laboratory features of pregnant woman with COVID-19 who require respiratory support. To recommend a management strategy that optimises maternal and fetal outcomes.

Design:

An observational cohort study of 7000 maternities between 1st March and 1st July 2020.

Setting:

Five maternity centres across a maternal medicine network in north-central London, UK Population 69 pregnant women with confirmed acute SARS-COV2

Methods:

Review of electronic healthcare records Main Outcome

Measures:

Clinical and laboratory features, maternal and fetal outcomes.

Results:

Respiratory support was needed by 15/69 . This cohort was more likely to present with dyspnoea (10/15 vs 10/54, p<0.001), a lower lymphocyte count (0.90.1 vs 1.40.1 x 109 cells/L; p<0.01) and hypokalaemia (3.80.1 vs 4.00.1 mmol/l, p<0.05). Radiological evidence of lung consolidation did not identify women in need of respiratory support. Women on respiratory support underwent childbirth at an earlier gestation than those who did not (36+4 vs 39+5 weeks, p<0.001), and required emergency c-section (6/15 vs 8/54, p<0.05). Childbirth did not improve respiratory function in those with severe disease, with 3 women remaining on invasive ventilation despite childbirth.

Conclusions:

Routine clinical data can identify pregnant women at risk of severe COVID-19. Pregnant women should be offered the same treatment as non-pregnant patients but iatrogenic childbirth should not be the default for women with severe disease. We propose a management pathway for pregnant women with severe COVID-19.

Full text: Available Collection: Preprints Database: PREPRINT-AUTHOREA PREPRINTS Language: English Year: 2020 Document Type: Preprint

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Full text: Available Collection: Preprints Database: PREPRINT-AUTHOREA PREPRINTS Language: English Year: 2020 Document Type: Preprint