1
|
Cao Y, Yao T, Li R, Tan L, Zhang Z, Qi J, Zhang R, Wu Y, Chen Z, Yin C. Clinical characteristics and prediction model of re-positive nucleic acid tests among Omicron infections by machine learning: a real-world study of 35,488 cases. BMC Infect Dis 2024; 24:1406. [PMID: 39695973 DOI: 10.1186/s12879-024-10297-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 12/02/2024] [Indexed: 12/20/2024] Open
Abstract
BACKGROUND During the Omicron BA.2 variant outbreak in Shanghai, China, from April to May 2022, PCR nucleic acid test re-positivity (TR) occurred frequently, yet the risk factors and predictive models for TR remain unclear. This study aims to identify the factors influencing Omicron TR and to develop machine learning models to predict TR risk. Accurately predicting re-positive patients is crucial for identifying high-risk individuals, optimizing resource allocation, and developing personalized treatment and management plans, thereby effectively controlling the spread of the epidemic, reducing community burden, and ensuring public health. METHODS A retrospective study was conducted among individuals infected with Omicron BA.2 variant from April 12 to May 25, 2022, in the largest Shanghai Fangcang shelter hospital. Five machine learning models were compared, including k-nearest-neighbors (KNN), logistic regression (logistic), bootstrap aggregation (bagging), error back-propagation (BP) neural network, and support vector machines (SVM), to select the best prediction model for the TR risk factors. RESULTS A total of 35,488 cases were included in this real-world study. The TR and control groups comprised of 6,171 and 29,317 cases respectively, with a re-positive rate of 17.39%. Higher occurrence of TR was observed in young age, males, those with obvious symptoms, underlying diseases, and a low Ct value. The KNN model proved to be the best in predicting the prognosis in the overall evaluation (accuracy = 0.8198, recall = 0.8026, and AUC = 0.8110 in the test set). INTERPRETATION Higher TR risk was found in infected cases who were underage or with underlying diseases; vaccine brand and inoculation status were not significantly associated with TR. KNN was the most effective machine learning model to predict TR occurrence in isolation.
Collapse
Affiliation(s)
- Ying Cao
- Department of Critical Care Medicine, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Tianhua Yao
- Department of Health Statistics, Faculty of Military Preventive Medicine, Army Medical University (Third Military Medical University), No. 30, Gaotan Yanzheng Street, Shapingba District, Chongqing, 400038, China
| | - Ronghao Li
- School of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Liang Tan
- Department of Critical Care Medicine, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Zhixiong Zhang
- School of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Junsheng Qi
- Department of Critical Care Medicine, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Rui Zhang
- Department of Critical Care Medicine, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yazhou Wu
- Department of Health Statistics, Faculty of Military Preventive Medicine, Army Medical University (Third Military Medical University), No. 30, Gaotan Yanzheng Street, Shapingba District, Chongqing, 400038, China.
| | - Zhiqiang Chen
- Department of Pediatrics, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), No. 30, Gaotan Yanzheng Street, Shapingba District, Chongqing, 400038, China.
| | - Changlin Yin
- Department of Critical Care Medicine, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), Chongqing, 400038, China.
| |
Collapse
|
2
|
Shen Q, Dong S, Shah NK, Liang Y, Wang J, Shan YH, He J. Peripartum outcomes and immune responses after SARS-CoV-2 infection in the third trimester of pregnancy. BMC Pregnancy Childbirth 2024; 24:498. [PMID: 39048938 PMCID: PMC11267945 DOI: 10.1186/s12884-024-06707-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 07/18/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND SARS-CoV-2 infection in pregnant women during the third trimester resulted in overall adverse pregnancy outcomes compared to non-infected controls and a unique humoral and cellular response at delivery. In this study we aimed to assess the impact of SARS-CoV-2 infection on maternal/neonatal peripartum outcomes andimmunological profiles. METHOD In this study, we recruited 304 SARS-CoV-2 infected pregnant women and 910 SARS-CoV-2 non-infected pregnant women who were admitted for delivery. Peripartum and neonates' outcomes response to SARS-CoV-2 infection were analyzed. Furthermore, we characterized the antibody and cytokines profile in SARS-CoV-2 infected maternal blood (MB) and cord blood (CB). We also assessed routine laboratory tests and liver function tests in MB before labor. Unpaired T test, Mann-Whitney test and Spearman test were used to analyze the data. RESULTS SARS-CoV-2 infected pregnant women were significantly associated with increased risk of adverse pregnancy outcomes, including preterm labor (13.8% vs. 9.5%, p = 0.033) and meconium-stained amniotic fluid (8.9% vs. 5.5%, p = 0.039). The risk of low birth weight (< 2500 g) (10.5% vs. 6.5%, p = 0.021) and Apgar score < 8 at 1-minute (9.2% vs. 5.8%, p = 0.049) significantly increased in newborns from COVID-19 positive mothers than their counterparts. Our results showed that antibodies were increased in adverse-outcome SARS-CoV-2 infected mothers and their neonates, and abnormal proportion of immune cells were detected in SARS-CoV-2 infected mothers. While the immune response showed no difference between adverse-outcome infected pregnant women and normal-outcome infected pregnant women. Thus, SARS-CoV-2 infection during the third trimester of pregnancy induced a unique humoral and cellular response at delivery. CONCLUSION SARS-CoV-2 infection closer to delivery could incline to adverse pregnancy outcomes. Therefore, the utmost care is required for SARS-CoV-2 infected pregnant women and their newborns. TRIAL REGISTRATION The study protocol was approved by the Institutional Review Board of the First Hospital of Jilin University with the approval code number 23K170-001, and informed consent was obtained from all enrolled patients prior to sample collection.
Collapse
Affiliation(s)
- Qi Shen
- Department of obstetrics, Obstetrics and Gynaecology Center, The First Hospital of Jilin University, Changchun, 130061, China
| | - Shuai Dong
- Department of obstetrics, Obstetrics and Gynaecology Center, The First Hospital of Jilin University, Changchun, 130061, China
| | - Neelam Kumari Shah
- Department of obstetrics, Obstetrics and Gynaecology Center, The First Hospital of Jilin University, Changchun, 130061, China
| | - Yuan Liang
- Department of obstetrics, Obstetrics and Gynaecology Center, The First Hospital of Jilin University, Changchun, 130061, China
| | - Jie Wang
- Department of obstetrics, Obstetrics and Gynaecology Center, The First Hospital of Jilin University, Changchun, 130061, China
| | - Yan-Hong Shan
- Department of obstetrics, Obstetrics and Gynaecology Center, The First Hospital of Jilin University, Changchun, 130061, China.
| | - Jin He
- Department of obstetrics, Obstetrics and Gynaecology Center, The First Hospital of Jilin University, Changchun, 130061, China.
| |
Collapse
|
3
|
Chen Q, Zhu K, Liu X, Zhuang C, Huang X, Huang Y, Yao X, Quan J, Lin H, Huang S, Su Y, Wu T, Zhang J, Xia N. The Protection of Naturally Acquired Antibodies Against Subsequent SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis. Emerg Microbes Infect 2022; 11:793-803. [PMID: 35195494 PMCID: PMC8920404 DOI: 10.1080/22221751.2022.2046446] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 02/21/2022] [Indexed: 01/18/2023]
Abstract
The specific antibodies induced by SARS-CoV-2 infection may provide protection against a subsequent infection. However, the efficacy and duration of protection provided by naturally acquired immunity against subsequent SARS-CoV-2 infection remain controversial. We systematically searched for the literature describing COVID-19 reinfection published before 07 February 2022. The outcomes were the pooled incidence rate ratio (IRR) for estimating the risk of subsequent infection. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included studies. Statistical analyses were conducted using the R programming language 4.0.2. We identified 19 eligible studies including more than 3.5 million individuals without the history of COVID-19 vaccination. The efficacy of naturally acquired antibodies against reinfection was estimated at 84% (pooled IRR = 0.16, 95% CI: 0.14-0.18), with higher efficacy against symptomatic COVID-19 cases (pooled IRR = 0.09, 95% CI = 0.07-0.12) than asymptomatic infection (pooled IRR = 0.28, 95% CI = 0.14-0.54). In the subgroup analyses, the pooled IRRs of COVID-19 infection in health care workers (HCWs) and the general population were 0.22 (95% CI = 0.16-0.31) and 0.14 (95% CI = 0.12-0.17), respectively, with a significant difference (P = 0.02), and those in older (over 60 years) and younger (under 60 years) populations were 0.26 (95% CI = 0.15-0.48) and 0.16 (95% CI = 0.14-0.19), respectively. The risk of subsequent infection in the seropositive population appeared to increase slowly over time. In conclusion, naturally acquired antibodies against SARS-CoV-2 can significantly reduce the risk of subsequent infection, with a protection efficacy of 84%.Registration number: CRD42021286222.
Collapse
Affiliation(s)
- Qi Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Kongxin Zhu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Xiaohui Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Chunlan Zhuang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Xingcheng Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Yue Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Xingmei Yao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Jiali Quan
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Hongyan Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Shoujie Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Yingying Su
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Ting Wu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Jun Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Ningshao Xia
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
- The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen City, Fujian Province, People's Republic of China
| |
Collapse
|
4
|
Li H, Zhu M, Zhang P, Yan X, Niu J, Wang Z, Cao J. Milder symptoms and shorter course in patients with re-positive COVID-19: A cohort of 180 patients from Northeast China. Front Microbiol 2022; 13:989879. [PMID: 36304945 PMCID: PMC9593080 DOI: 10.3389/fmicb.2022.989879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/07/2022] [Indexed: 01/08/2023] Open
Abstract
China experienced another widespread Coronavirus disease 2019 (COVID-19) outbreak recently caused by the Omicron variant, which is less severe but far more contagious than the other COVID-19 variants, leading local governments to focus efforts on eliminating the spread of the disease. Previous studies showed that after “recovering” from the virus, some patients could re-test positive for COVID-19 with nucleic acid tests, challenging the control of disease spread. In this study, we aimed to analyze the clinical and laboratory characteristics of re-positive COVID-19 patients in Northeast China. We retrospectively analyzed data from confirmed reverse transcription polymerase chain reaction (RT-PCR) re-positive COVID-19 patients who were admitted to the First Hospital of Jilin University, Jilin Province, China, from March to June 2022. Detailed clinical symptoms, medical history, anti-Corona Virus (CoV) IgG and IgM levels, and CoV nucleic acid cycle threshold (Ct) values during the re-positive period were collected and analyzed. A total of 180 patients were included in this study, including 62 asymptomatic cases and 118 mild cases. The cohort included 113 men and 67 women, with an average age of 45.73 years. The median time between recovery from the virus and re-positivity was 13 days. Our results showed that the proportion of re-positive patients with symptoms was lower, and the nucleic acid test-positive duration was shorter during the re-positive period. Furthermore, in patients with underlying disease, the proportion of patients with symptoms was higher, anti-CoV IgG levels were lower, and the total disease duration was longer. In conclusion, during the re-positive period, the symptoms were milder, and the CoV nucleic acid test-positive course was shorter. The concomitant underlying disease is an important factor associated with clinical symptoms, and the overall course of COVID-19 re-positive patients may be associated with lower anti-CoV IgG levels. Large-scale and multicenter studies are recommended to better understand the pathophysiology of recurrence in patients with COVID-19.
Collapse
Affiliation(s)
- Hongyan Li
- Department of Nursing, The First Hospital of Jilin University, Changchun, China
| | - Mingqin Zhu
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Peng Zhang
- Department of Infectious Diseases, The First Hospital of Jilin University, Changchun, China
| | - Xingjian Yan
- Department of Urology, The First Hospital of Jilin University, Changchun, China
| | - Junqi Niu
- Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, State Key Laboratory of Zoonotic Disease, Department of Hepatology, Center of Infectious Disease and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
| | - Zhenyu Wang
- Department of Spinal Surgery, The First Hospital of Jilin University, Changchun, China
- *Correspondence: Zhenyu Wang,
| | - Jie Cao
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
- Jie Cao,
| |
Collapse
|
5
|
Chivese T, Matizanadzo JT, Musa OAH, Hindy G, Furuya-Kanamori L, Islam N, Al-Shebly R, Shalaby R, Habibullah M, Al-Marwani TA, Hourani RF, Nawaz AD, Haider MZ, Emara MM, Cyprian F, Doi SAR. The prevalence of adaptive immunity to COVID-19 and reinfection after recovery - a comprehensive systematic review and meta-analysis. Pathog Glob Health 2022; 116:269-281. [PMID: 35099367 PMCID: PMC9248963 DOI: 10.1080/20477724.2022.2029301] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
This study aims to estimate the prevalence and longevity of detectable SARS-CoV-2 antibodies and T and B memory cells after recovery. In addition, the prevalence of COVID-19 reinfection and the preventive efficacy of previous infection with SARS-CoV-2 were investigated. A synthesis of existing research was conducted. The Cochrane Library, the China Academic Journals Full Text Database, PubMed, and Scopus, and preprint servers were searched for studies conducted between 1 January 2020 to 1 April 2021. Included studies were assessed for methodological quality and pooled estimates of relevant outcomes were obtained in a meta-analysis using a bias adjusted synthesis method. Proportions were synthesized with the Freeman-Tukey double arcsine transformation and binary outcomes using the odds ratio (OR). Heterogeneity was assessed using the I2 and Cochran's Q statistics and publication bias was assessed using Doi plots. Fifty-four studies from 18 countries, with around 12,000,000 individuals, followed up to 8 months after recovery, were included. At 6-8 months after recovery, the prevalence of SARS-CoV-2 specific immunological memory remained high; IgG - 90.4% (95%CI 72.2-99.9, I2 = 89.0%), CD4+ - 91.7% (95%CI 78.2-97.1y), and memory B cells 80.6% (95%CI 65.0-90.2) and the pooled prevalence of reinfection was 0.2% (95%CI 0.0-0.7, I2 = 98.8). Individuals previously infected with SARS-CoV-2 had an 81% reduction in odds of a reinfection (OR 0.19, 95% CI 0.1-0.3, I2 = 90.5%). Around 90% of recovered individuals had evidence of immunological memory to SARS-CoV-2, at 6-8 months after recovery and had a low risk of reinfection.RegistrationPROSPERO: CRD42020201234.
Collapse
Affiliation(s)
- Tawanda Chivese
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar,CONTACT Tawanda Chivese ; Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Joshua T. Matizanadzo
- Department of Public Health and Primary Care, Brighton and Sussex Medical School, UK
| | - Omran A. H. Musa
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - George Hindy
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Luis Furuya-Kanamori
- UQ Centre for Clinical Research, The University of Queensland, Herston, Australia
| | - Nazmul Islam
- Department of Public Health, Qu Health, Qatar University, Doha, Qatar
| | - Rafal Al-Shebly
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Rana Shalaby
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Mohammad Habibullah
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Talal A. Al-Marwani
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Rizeq F. Hourani
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Ahmed D. Nawaz
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Mohammad Z. Haider
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Mohamed M. Emara
- Immunology Section, Basic Medical Sciences Department, College of Medicine, Qu Health, Qatar University, Doha, Qatar,Microbiology Section, Biomedical and Pharmaceutical Research Unit, Qu Health, Qatar University, Doha, Qatar
| | - Farhan Cyprian
- Immunology Section, Basic Medical Sciences Department, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| | - Suhail A. R. Doi
- Department of Population Medicine, College of Medicine, Qu Health, Qatar University, Doha, Qatar
| |
Collapse
|
6
|
COVID-19: the possibility, ways, mechanisms, and interruptions of mother-to-child transmission. Arch Gynecol Obstet 2022; 307:1687-1696. [PMID: 35665849 PMCID: PMC9166277 DOI: 10.1007/s00404-022-06639-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/17/2022] [Indexed: 11/30/2022]
Abstract
Background In December 2019, novel coronavirus pneumonia was detected in Wuhan, Hubei Province, China, and as the epidemic spread, such cases emerged worldwide. Recently, the World Health Organization (WHO) named a new mutant Omicron (B.1.1.529), which disrupts the binding of most antibodies to the S protein and has a greater ability to break through the vaccine, posing a serious risk to population safety. Positive pregnant women give birth to positive newborns despite appropriate isolation measures taken by medical staff, suggesting that we may have vertical transmission of the novel coronavirus. This article analyzes and studies the possible vertical transmission path of the new coronavirus in the perinatal period of pregnant women and the antibody-dependent enhancement (ADE), and puts forward effective preventive measures for positive pregnant women to provide further reference for clinical work. Methods We searched multiple databases, including PubMed, CNKI, Google Scholar, WHO COVID-19 database, and CDC database. Search terms included COVID-19, SARS-CoV-2, vertical transmission, Omicron, Vaginal, Breast Feeding, Vaccine, Neonatal, Severe acute respiratory syndrome coronavirus, Pregnancy, and Semen. Selection criteria The following criteria were also met: (1) positive maternal novel coronavirus nucleic acid test; (2) reporting of neonatal outcome; (3) language in Chinese or English; (4) study date or location indicated; (5) no suspected or confirmed duplicated reports. Results There is evidence of vertical transmission, and the risk of possible vertical transmission is 5.7% (75/1314). The article listed four possible vertical transmission routes, namely placental transmission, vaginal upstream transmission, breastfeeding transmission and monocyte, and macrophage transmission route, with placental transmission being the most probable. Meanwhile, SARS-CoV-2 may also enter the placenta to infect the fetus through antibody-dependent enhanced substitution mechanism. We recommend three methods for early surveillance of vertical transmission, namely nucleic acid testing, antibody screening, and antigen testing, and analyze their advantages and disadvantages. Finally, the article provides recommendations in four areas: labor management, neonatal management, nosocomial infection prevention and control, and vaccination. As well as suggesting effective preventive measures for positive pregnant women and analyzing the advantages and disadvantages of vaccination, it is recommended that pregnant women should be vaccinated promptly, but considering that the vaccine may cause fever, it is recommended to consider vaccination cautiously in the first trimester of pregnancy. Conclusion The article concludes that vertical transmission is possible, with placental transmission being the most likely, and that the risk of possible vertical transmission is 5.7% (75/1314). Good personal protection, patient isolation, ward disinfection, and vaccination are the best means of interrupting SARS-CoV-2.
Collapse
|
7
|
Sengpiel V, Carlsson Y, Liljeqvist J, Elfvin A, Fyhr I, Lundgren A, Nyström K, Bemark M, Gisslen M, Ringlander J. Confirmed reinfection with SARS-CoV-2 during a pregnancy: A case report. Clin Case Rep 2022; 10:e05400. [PMID: 35223007 PMCID: PMC8847408 DOI: 10.1002/ccr3.5400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 12/14/2022] Open
Abstract
Pregnancy might impact immunity after SARS-CoV-2 infection and/or vaccination. We describe the first case of reinfection with SARS-CoV-2 during a pregnancy. While the mother lacked detectable antibodies 2 months after the first infection, both mother and baby had IgG antibodies at delivery. Infection did not cause any adverse pregnancy outcome.
Collapse
Affiliation(s)
- Verena Sengpiel
- Region Västra GötalandDepartment of Obstetrics and GynaecologySahlgrenska University HospitalGothenburgSweden
- Department of Obstetrics and Gynaecology, Institute for Clinical Sciences, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Ylva Carlsson
- Region Västra GötalandDepartment of Obstetrics and GynaecologySahlgrenska University HospitalGothenburgSweden
- Department of Obstetrics and Gynaecology, Institute for Clinical Sciences, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Jan‐Åke Liljeqvist
- Department of Infectious DiseasesInstitute of BiomedicineUniversity of GothenburgGothenburgSweden
- Region Västra GötalandDepartment of Infectious DiseasesSahlgrenska University HospitalGothenburgSweden
| | - Anders Elfvin
- Department of PaediatricsInstitute of Clinical Sciences, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Region Västra GötalandDepartment of PaediatricsSahlgrenska University Hospital, Queen Silvia Children’s HospitalGothenburgSweden
| | - Ing‐Marie Fyhr
- Region Västra GötalandDepartment of PathologySahlgrenska University HospitalGothenburgSweden
| | - Anna Lundgren
- Department of Microbiology and ImmunologyInstitute of BiomedicineUniversity of GothenburgGothenburgSweden
- Region Västra GötalandDepartment of Clinical Immunology and Transfusion MedicineSahlgrenska University HospitalUniversity of GothenburgGothenburgSweden
| | - Kristina Nyström
- Region Västra GötalandDepartment of Clinical MicrobiologySahlgrenska University HospitalGothenburgSweden
- Department of Infectious DiseasesInstitute of BiomedicineSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Mats Bemark
- Department of Microbiology and ImmunologyInstitute of BiomedicineUniversity of GothenburgGothenburgSweden
- Region Västra GötalandDepartment of Clinical Immunology and Transfusion MedicineSahlgrenska University HospitalUniversity of GothenburgGothenburgSweden
| | - Magnus Gisslen
- Department of Infectious DiseasesInstitute of BiomedicineSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Region Västra GötalandDepartment of Infectious DiseasesSahlgrenska University HospitalGothenburgSweden
| | - Johan Ringlander
- Region Västra GötalandDepartment of Clinical MicrobiologySahlgrenska University HospitalGothenburgSweden
- Department of Infectious DiseasesInstitute of BiomedicineSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| |
Collapse
|