CLINICAL AND ANAMNESTIC FACTORS OF PREGNANT WOMEN WITH DIFFER-ENT COURSE OF A NEW CORONAVIRUS INFECTION

Autor: Nasri Onsi, Mariya Marina V. Kuzmina Kuzmina Marina V. Kuzmina, Sergey Sinchihin, Olga Nagaeva, Georgiy Gviniashvili, Anakhanum Muratova
Rok vydání: 2023
Zdroj: ASTRAKHAN MEDICAL JOURNAL. :59-65
ISSN: 1992-6499
DOI: 10.29039/1992-6499-2023-1-59-65
Popis: Pregnant women infected with SARS-CoV-2 are considered as a risk group for the development of severe complications and an unfavorable outcome of a new coronavirus infection. At the same time, various non-gestational factors may be an additional unfavorable background that determines the course of this disease in pregnant women. The purpose of the study was to evaluate the clinical and anamnestic data of pregnant women with different course of a new coronavirus infection. Material and research methods. A retrospective analysis of the history and comorbidity data of 360 pregnant women infected with SARS-CoV-2 was carried out. The features of the reproductive history and ex-tragenital pathology of pregnant women with different course of Coronavirus Disease 2019 (COVID-19) were revealed. The standard collection of anamnesis and clinical examination was carried out, which is required to fill in the medical records of an outpatient and inpatient patient. Statistical pro-cessing of the obtained results was carried out using Microsoft Excel 2010 and Statistica (version 6.0). Research results. It has been established that among pregnant women with a severe course of this dis-ease, patients who use nicotine-containing products and have such concomitant somatic pathologies as diabetes mellitus, obesity, hypothyroidism, iron deficiency anemia, chronic arterial hypertension and varicose veins are significantly more common. Unfavorable factors of the reproductive history in-clude: abortion, non-developing pregnancy, preeclampsia. Conclusion. To predict the course of a new coronavirus disease in the gestational period, it is necessary to take into account the listed clinical and anamnestic data of the patient.
Databáze: OpenAIRE