Clinical Properties and Diagnostic Methods of COVID-19 Infection in Pregnancies: Meta-Analysis.
Clinical Properties and Diagnostic Methods of COVID-19 Infection in Pregnancies: Meta-Analysis.
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DOI:
10.1155/2020/1708267
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发表时间:
2020
影响因子:
--
通讯作者:
Acar-Bolat B
中科院分区:
文献类型:
--
作者:
Uygun-Can B;Acar-Bolat B
We aimed to summarize reliable medical evidence by the meta-analysis of all published retrospective studies that examined data based on the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by clinical symptoms, molecular (RT-PCR) diagnosis, and characteristic CT imaging features in pregnant women. The MEDLINE, PubMed, Scopus, ISI Web of Science, ClinicalKey, and CINAHL databases were used to select the studies. Then, 384 articles were received, including the studies until 01/May/2020. As a result of the full-text evaluation, 12 retrospective articles covering all the data related were selected. A total of 181 pregnant cases with SARS-CoV-2 infections were included in the meta-analysis within the scope of these articles. According to the results, the incidence of fever was 38.1% (95% CI: 14.2-65%) and cough was 22% (95% CI: 10.8-35.2%) among all clinical features of pregnant cases with SARS-CoV-2 infection. So, fever and cough are the most common symptoms in pregnant cases with SARS-CoV-2 infection, and 91.8% (95% CI: 76.7-99.9%) of RT-PCR results are positive. Moreover, abnormal CT incidence is 97.9% (95% CI: 94.2-99.9%) positive. No case was death. However, as this virus spreads globally, it should not be overlooked that the incidence will increase in pregnant women and maybe in the risky group. RT-PCR and CT can be used together in an accurate and safe diagnosis. In conclusion, these findings will provide important guidance for current studies regarding the clinical features and correct detection of SARS-CoV-2 infection in pregnant women, as well as whether it will create emergency tables that will require the use of a viral drug.
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DOI:
10.1136/bmj.b2535
发表时间:
2009-07-21
期刊:
BMJ (Clinical research ed.)
影响因子:
--
作者:
Moher D;Liberati A;Tetzlaff J;Altman DG;PRISMA Group
通讯作者:
PRISMA Group
影响因子:
168.9
作者:
Huang, Chaolin;Wang, Yeming;Cao, Bin
通讯作者:
Cao, Bin
影响因子:
168.9
作者:
Chan, Jasper Fuk-Woo;Yuan, Shuofeng;Yuen, Kwok-Yung
通讯作者:
Yuen, Kwok-Yung
影响因子:
6.3
作者:
Barendregt, Jan J.;Doi, Suhail A.;Vos, Theo
通讯作者:
Vos, Theo
影响因子:
168.9
作者:
Chen, Huijun;Guo, Juanjuan;Zhang, Yuanzhen
通讯作者:
Zhang, Yuanzhen