Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review
Background and Objective: Coronavirus disease 2019 (COVID-19) characterized by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has created serious concerns about its potential adverse effects. There are limited data on clinical, radiological, and neonatal outcomes of pregnant women with...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-12-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2020.573468/full |
| _version_ | 1818390260216758272 |
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| author | Md. Mohaimenul Islam Md. Mohaimenul Islam Md. Mohaimenul Islam Tahmina Nasrin Poly Tahmina Nasrin Poly Tahmina Nasrin Poly Bruno Andreas Walther Hsuan Chia Yang Hsuan Chia Yang Hsuan Chia Yang Cheng-Wei Wang Wen-Shyang Hsieh Wen-Shyang Hsieh Suleman Atique Hosna Salmani Belal Alsinglawi Ming Ching Lin Ming Ching Lin Ming Ching Lin Ming Ching Lin Ming Ching Lin Wen Shan Jian Yu-Chuan Jack Li Yu-Chuan Jack Li Yu-Chuan Jack Li Yu-Chuan Jack Li Yu-Chuan Jack Li |
| author_facet | Md. Mohaimenul Islam Md. Mohaimenul Islam Md. Mohaimenul Islam Tahmina Nasrin Poly Tahmina Nasrin Poly Tahmina Nasrin Poly Bruno Andreas Walther Hsuan Chia Yang Hsuan Chia Yang Hsuan Chia Yang Cheng-Wei Wang Wen-Shyang Hsieh Wen-Shyang Hsieh Suleman Atique Hosna Salmani Belal Alsinglawi Ming Ching Lin Ming Ching Lin Ming Ching Lin Ming Ching Lin Ming Ching Lin Wen Shan Jian Yu-Chuan Jack Li Yu-Chuan Jack Li Yu-Chuan Jack Li Yu-Chuan Jack Li Yu-Chuan Jack Li |
| author_sort | Md. Mohaimenul Islam |
| collection | DOAJ |
| description | Background and Objective: Coronavirus disease 2019 (COVID-19) characterized by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has created serious concerns about its potential adverse effects. There are limited data on clinical, radiological, and neonatal outcomes of pregnant women with COVID-19 pneumonia. This study aimed to assess clinical manifestations and neonatal outcomes of pregnant women with COVID-19.Methods: We conducted a systematic article search of PubMed, EMBASE, Scopus, Google Scholar, and Web of Science for studies that discussed pregnant patients with confirmed COVID-19 between January 1, 2020, and April 20, 2020, with no restriction on language. Articles were independently evaluated by two expert authors. We included all retrospective studies that reported the clinical features and outcomes of pregnant patients with COVID-19.Results: Forty-seven articles were assessed for eligibility; 13 articles met the inclusion criteria for the systematic review. Data is reported for 235 pregnant women with COVID-19. The age range of patients was 25–40 years, and the gestational age ranged from 8 to 40 weeks plus 6 days. Clinical characteristics were fever [138/235 (58.72%)], cough [111/235 (47.23%)], and sore throat [21/235 (8.93%)]. One hundred fifty six out of 235 (66.38%) pregnant women had cesarean section, and 79 (33.62%) had a vaginal delivery. All the patients showed lung abnormalities in CT scan images, and none of the patients died. Neutrophil cell count, C-reactive protein (CRP) concentration, ALT, and AST were increased but lymphocyte count and albumin levels were decreased. Amniotic fluid, neonatal throat swab, and breastmilk samples were taken to test for SARS-CoV-2 but all found negativ results. Recent published evidence showed the possibility of vertical transmission up to 30%, and neonatal death up to 2.5%. Pre-eclampsia, fetal distress, PROM, pre-mature delivery were the major complications of pregnant women with COVID-19.Conclusions: Our study findings show that the clinical, laboratory and radiological characteristics of pregnant women with COVID-19 were similar to those of the general populations. The possibility of vertical transmission cannot be ignored but C-section should not be routinely recommended anymore according to latest evidences and, in any case, decisions should be taken after proper discussion with the family. Future studies are needed to confirm or refute these findings with a larger number of sample sizes and a long-term follow-up period. |
| first_indexed | 2024-12-14T04:54:48Z |
| format | Article |
| id | doaj.art-f9c9e566503b410c831f717cfea48042 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-12-14T04:54:48Z |
| publishDate | 2020-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-f9c9e566503b410c831f717cfea480422022-12-21T23:16:26ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2020-12-01710.3389/fmed.2020.573468573468Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic ReviewMd. Mohaimenul Islam0Md. Mohaimenul Islam1Md. Mohaimenul Islam2Tahmina Nasrin Poly3Tahmina Nasrin Poly4Tahmina Nasrin Poly5Bruno Andreas Walther6Hsuan Chia Yang7Hsuan Chia Yang8Hsuan Chia Yang9Cheng-Wei Wang10Wen-Shyang Hsieh11Wen-Shyang Hsieh12Suleman Atique13Hosna Salmani14Belal Alsinglawi15Ming Ching Lin16Ming Ching Lin17Ming Ching Lin18Ming Ching Lin19Ming Ching Lin20Wen Shan Jian21Yu-Chuan Jack Li22Yu-Chuan Jack Li23Yu-Chuan Jack Li24Yu-Chuan Jack Li25Yu-Chuan Jack Li26College of Medical Science and Technology, Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, TaiwanInternational Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, TaiwanResearch Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, TaiwanCollege of Medical Science and Technology, Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, TaiwanInternational Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, TaiwanResearch Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, TaiwanAlfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, GermanyCollege of Medical Science and Technology, Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, TaiwanInternational Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, TaiwanResearch Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, TaiwanDivision of Reproduction Medicine, Department of Obstetrics and Gynecology, Taipei Medical University Hospital, Taipei, TaiwanDepartment of Medical Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, TaiwanDepartment of Medical Laboratory Science and Biotechnology, Fooyin University, Kaohsiung City, TaiwanCollege of Public Health and Health Informatics, University of Ha'il, Ha'il, Saudi ArabiaSchool of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran0School of Computing, Engineering, and Mathematics, Western Sydney University, Penrith, NSW, AustraliaCollege of Medical Science and Technology, Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan1Department of Neurosurgery, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan2Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan3Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan4Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan5School of Health Care Administration, Taipei Medical University, Taipei, TaiwanCollege of Medical Science and Technology, Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, TaiwanInternational Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, TaiwanResearch Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan6Department of Dermatology, Wan Fang Hospital, Taipei, Taiwan7Taipei Medical University Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, TaiwanBackground and Objective: Coronavirus disease 2019 (COVID-19) characterized by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has created serious concerns about its potential adverse effects. There are limited data on clinical, radiological, and neonatal outcomes of pregnant women with COVID-19 pneumonia. This study aimed to assess clinical manifestations and neonatal outcomes of pregnant women with COVID-19.Methods: We conducted a systematic article search of PubMed, EMBASE, Scopus, Google Scholar, and Web of Science for studies that discussed pregnant patients with confirmed COVID-19 between January 1, 2020, and April 20, 2020, with no restriction on language. Articles were independently evaluated by two expert authors. We included all retrospective studies that reported the clinical features and outcomes of pregnant patients with COVID-19.Results: Forty-seven articles were assessed for eligibility; 13 articles met the inclusion criteria for the systematic review. Data is reported for 235 pregnant women with COVID-19. The age range of patients was 25–40 years, and the gestational age ranged from 8 to 40 weeks plus 6 days. Clinical characteristics were fever [138/235 (58.72%)], cough [111/235 (47.23%)], and sore throat [21/235 (8.93%)]. One hundred fifty six out of 235 (66.38%) pregnant women had cesarean section, and 79 (33.62%) had a vaginal delivery. All the patients showed lung abnormalities in CT scan images, and none of the patients died. Neutrophil cell count, C-reactive protein (CRP) concentration, ALT, and AST were increased but lymphocyte count and albumin levels were decreased. Amniotic fluid, neonatal throat swab, and breastmilk samples were taken to test for SARS-CoV-2 but all found negativ results. Recent published evidence showed the possibility of vertical transmission up to 30%, and neonatal death up to 2.5%. Pre-eclampsia, fetal distress, PROM, pre-mature delivery were the major complications of pregnant women with COVID-19.Conclusions: Our study findings show that the clinical, laboratory and radiological characteristics of pregnant women with COVID-19 were similar to those of the general populations. The possibility of vertical transmission cannot be ignored but C-section should not be routinely recommended anymore according to latest evidences and, in any case, decisions should be taken after proper discussion with the family. Future studies are needed to confirm or refute these findings with a larger number of sample sizes and a long-term follow-up period.https://www.frontiersin.org/articles/10.3389/fmed.2020.573468/fullcoronavirusCOVID-19pregnant womenSARS–CoV-2CT-scan |
| spellingShingle | Md. Mohaimenul Islam Md. Mohaimenul Islam Md. Mohaimenul Islam Tahmina Nasrin Poly Tahmina Nasrin Poly Tahmina Nasrin Poly Bruno Andreas Walther Hsuan Chia Yang Hsuan Chia Yang Hsuan Chia Yang Cheng-Wei Wang Wen-Shyang Hsieh Wen-Shyang Hsieh Suleman Atique Hosna Salmani Belal Alsinglawi Ming Ching Lin Ming Ching Lin Ming Ching Lin Ming Ching Lin Ming Ching Lin Wen Shan Jian Yu-Chuan Jack Li Yu-Chuan Jack Li Yu-Chuan Jack Li Yu-Chuan Jack Li Yu-Chuan Jack Li Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review Frontiers in Medicine coronavirus COVID-19 pregnant women SARS–CoV-2 CT-scan |
| title | Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review |
| title_full | Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review |
| title_fullStr | Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review |
| title_full_unstemmed | Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review |
| title_short | Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review |
| title_sort | clinical characteristics and neonatal outcomes of pregnant patients with covid 19 a systematic review |
| topic | coronavirus COVID-19 pregnant women SARS–CoV-2 CT-scan |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2020.573468/full |
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