Article ; Online: Cardiotocographic features in COVID-19 infected pregnant women.
2021 Volume 50, Issue 1, Page(s) 46–55
Abstract: Objectives: We aimed to evaluate the cardiotocograph (CTG) traces of 224 women infected with novel ... Maternal COVID-19 infection can cause changes that can be observed in CTG. Regardless of the severity ... of the disease, COVID-19 infection is associated with changes in CTG. The increase in the baseline is the most ...
| Abstract | Objectives: We aimed to evaluate the cardiotocograph (CTG) traces of 224 women infected with novel coronavirus 2019 (COVID-19) and analyze whether changes in the CTG traces are related to the severity of COVID-19. Methods: We designed a prospective cohort study. Two-hundred and twenty-four women who had a single pregnancy of 32 weeks or more, and tested positive for SARS-CoV-2 were included. Clinical diagnosis and classifications were made according to the Chinese management guideline for COVID-19 (version 6.0). Patients were classified into categories as mild, moderate, severe and the CTG traces were observed comparing the hospital admission with the third day of positivity. Results: There was no statistically significant relationship between COVID-19 severity and CTG category, variability, tachycardia, bradycardia, acceleration, deceleration, and uterine contractility, Apgar 1st and 5th min. Conclusions: Maternal COVID-19 infection can cause changes that can be observed in CTG. Regardless of the severity of the disease, COVID-19 infection is associated with changes in CTG. The increase in the baseline is the most obvious change. |
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| MeSH term(s) | Adolescent ; Adult ; COVID-19/physiopathology ; Cardiotocography ; Female ; Fetal Heart/physiopathology ; Heart Rate, Fetal ; Humans ; Middle Aged ; Pregnancy ; Pregnancy Complications, Infectious/physiopathology ; Prospective Studies ; Young Adult |
| Language | English |
| Publishing date | 2021-08-19 |
| Publishing country | Germany |
| Document type | Journal Article |
| ZDB-ID | 123512-6 |
| ISSN | 1619-3997 ; 0300-5577 ; 0936-174X |
| ISSN (online) | 1619-3997 |
| ISSN | 0300-5577 ; 0936-174X |
| DOI | 10.1515/jpm-2021-0132 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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