Laboratory changes and clinical correlates of disease severity in hospitalized pregnant women with COVID-19

Seyyedeh Neda Kazemi1,2, Hanieh Najafiarab3, Hamidreza Didar4

  • 1Clinical Research Development Center, Imam Hossein Educational Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran.

PubMed

Insights

Severe COVID-19 in pregnant women is linked to specific lab changes like lymphopenia and anemia. Monitoring these can help identify severe cases and distinguish them from conditions like preeclampsia.

Area of Science:

  • Obstetrics and Gynecology
  • Infectious Diseases
  • Clinical Pathology

Background:

  • COVID-19, caused by SARS-CoV-2, rapidly became a global pandemic.
  • Pregnant women represent a vulnerable population with potential for severe disease.
  • Understanding laboratory alterations in pregnant COVID-19 patients is crucial for management.

Purpose of the Study:

  • To evaluate laboratory changes in pregnant women hospitalized with COVID-19.
  • To determine the association between these laboratory findings and disease severity.

Main Methods:

  • A cross-sectional study of 59 pregnant women with confirmed COVID-19.
  • Data collected from medical records, including clinical signs and laboratory results.
  • Analysis categorized by disease severity (mild, moderate, severe).

Main Results:

  • Common symptoms included dry cough, fever, fatigue, shortness of breath, and myalgia.
  • Disease severity correlated with fever, dyspnea, sore throat, vomiting, myalgia, headache, and fatigue.
  • Laboratory markers associated with severe COVID-19 included lymphopenia, anemia, elevated liver enzymes (AST, ALP, LDH), hypoalbuminemia, and proteinuria.

Conclusions:

  • Severe COVID-19 in pregnant women is characterized by lymphopenia, anemia, elevated liver enzymes, hypoalbuminemia, and proteinuria.
  • These laboratory findings may mimic pregnancy complications such as preeclampsia.
  • Monitoring these parameters can assist in identifying severe COVID-19 cases and guiding clinical decisions.
Abstract

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