Relationship between coronavirus disease 2019 in pregnancy and maternal and fetal outcomes: Retrospective analytical

Zahra Alipour1, Parisa Samadi2, Narges Eskandari1

  • 1Department of Midwifery, School of Nursing and Midwifery, Qom University of Medical Sciences, Qom, Iran.

Midwifery
|September 2, 2021
PubMed

Insights

Pregnant women with COVID-19 face increased risks of severe maternal and fetal complications, including ICU admission and preterm birth. This study highlights the adverse outcomes associated with coronavirus disease 2019 in pregnancy.

Area of Science:

  • Obstetrics and Gynecology
  • Infectious Diseases
  • Public Health

Background:

  • Coronavirus disease 2019 (COVID-19) poses global health challenges.
  • Limited data exist on COVID-19's impact on pregnant individuals.
  • Understanding these effects is crucial for maternal and fetal health management.

Purpose of the Study:

  • To investigate the epidemiological and clinical characteristics of COVID-19 in pregnant women.
  • To assess the association between COVID-19 infection and adverse maternal and fetal outcomes.

Main Methods:

  • Retrospective analytical cohort study.
  • Involved pregnant women diagnosed with COVID-19 and a control group.
  • Data collected from medical records; logistic regression analysis used.

Main Results:

  • Common symptoms included shortness of breath, cough, and fever.
  • COVID-19 in pregnancy significantly increased risks for ICU admission, preterm birth, fetal distress, and NICU admission.
  • A trend towards increased Cesarean sections was observed.

Conclusions:

  • COVID-19 infection during pregnancy is linked to adverse maternal and fetal outcomes.
  • These include higher rates of intensive care unit admission, preterm birth, fetal distress, and neonatal intensive care unit admission.
  • Findings underscore the importance of protective measures for pregnant women.
Abstract

Related Concept Videos

Teratogenicity01:07

Teratogenicity

The ability of a drug to produce structural deformations and functional abnormalities in the developing embryo or the fetus is called teratogenicity, and the drug producing this effect is known as a teratogen. Teratogenic effects include stillbirth, miscarriage, intrauterine growth restriction, and neurocognitive delay. A teratogen may affect the embryo at different stages of development, which is important in determining the type and extent of the damage. During blastocyst formation, the early...
3.1K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
828
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
206
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
3.5K
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
553
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
318