Association of Pregnancy With Coronavirus Cytokine Storm: Systematic Review and Meta-analysis
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Abstract
COVID-19 was first identified in Wuhan, China, in December 2019, spreading to the rest of the globe, becoming a pandemic. Some studies have shown an association between pregnancy status and severe COVID-19 with a cytokine storm, whereas others have shown contrasting results.
Objective
The aim of this study was to examine the relationship between pregnancy status and the clinical COVID-19 severity characterized by the cytokine storm through a systematic review and meta-analysis.
Methods
We searched the Google Scholar, PubMed, Scopus, Web of Science, and Embase databases to identify clinical studies suitable for inclusion in this meta-analysis. Studies reporting pregnancy status and comparing the COVID-19 severity cytokine storm outcome were included. COVID-19 severity characterized by a cytokine storm was described using parameters such as intensive care unit admission, invasive mechanical ventilation, mechanical ventilation, hospital admission, pro- and anti-inflammatory cytokine levels, consolidation on chest computed tomography scan, pulmonary infiltration, extreme fevers as characteristic of a cytokine storm, syndromic severity, higher neutrophil count indicative of a cytokine storm, and severe COVID-19 presentation.
Results
A total of 17 articles including data for 840,332 women with COVID-19 were included. This meta-analysis revealed a correlation between positive pregnancy status and severe COVID-19 with a cytokine storm (random-effects model odds ratio [OR] 2.47, 95% CI 1.63-3.73; P<.001), with a cumulative incidence of 6432 (14.1%) and 24,352 (3.1%) among pregnant and nonpregnant women with COVID-19, respectively. The fixed-effects model also showed a correlation between pregnancy status and severe COVID-19 with a cytokine storm (OR 7.41, 95% CI 7.02-7.83; P<.001). Considerable heterogeneity was found among all pooled studies (I²=98%, P<.001). Furthermore, the updated analysis showed substantially low heterogeneity (I²=29 %, P=.19), and the funnel plot revealed no publication bias. The subanalysis between single-center and multicenter studies demonstrated similar heterogeneity (I2=72% and 98%, respectively). Sensitivity analysis on each subgroup revealed that pregnancy was significantly related to severe COVID-19 with a cytokine storm from single-center studies (fixed-effects model OR 3.97, 95% CI 2.26-6.95; P<.001) with very low heterogeneity (I²=2%, P=.42).
Conclusions
Being pregnant is clearly associated with experiencing a severe course of COVID-19 characterized by a cytokine storm. The COVID-19 pandemic should serve as an impetus for further research on pregnant women diagnosed with COVID-19 to map out the salient risk factors associated with its severity.
Trial Registration
PROSPERO CRD42021242011; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=242011.
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SciScore for 10.1101/2021.06.11.21258747: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable ,” OR “severe”. 2.2. Inclusion and Exclusion Criteria: Inclusion criteria were as follows: (i) studies that examined COVID-19 women within reproductive age and diagnosed COVID-19 according to WHO criteria; (ii) observational, cross-sectional, prospective, or retrospective studies; (iii) studies that compared pregnant women versus non-pregnant women with severe COVID-19 characterized by cytokine storm; (iv) studies evaluating the clinical prognosis in pregnancy and the immunological profile at any gestation stage and looking at the pro-inflammatory response, covid-19 disease and the hallmark outcome, the severe cytokine storm Exclusion criteria were … SciScore for 10.1101/2021.06.11.21258747: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable ,” OR “severe”. 2.2. Inclusion and Exclusion Criteria: Inclusion criteria were as follows: (i) studies that examined COVID-19 women within reproductive age and diagnosed COVID-19 according to WHO criteria; (ii) observational, cross-sectional, prospective, or retrospective studies; (iii) studies that compared pregnant women versus non-pregnant women with severe COVID-19 characterized by cytokine storm; (iv) studies evaluating the clinical prognosis in pregnancy and the immunological profile at any gestation stage and looking at the pro-inflammatory response, covid-19 disease and the hallmark outcome, the severe cytokine storm Exclusion criteria were as follows: (i) unrelated, duplicated, and contain information answering our research question, (ii) non-English-language studies, (iii) case reports/series, (iv) reviews, (v) editorial letters, (vi) studies lacking a full-text (unavailable or not yet published), (vii) studies without a DOI, and (viii) studies with small sample sizes (<50 patients) because of low statistical power. 2.3. Data Extraction: Extraction of both adjusted and non-adjusted data was be performed to give the most allowed confounding factor which would be used in the analysis by pooling them later. Randomization not detected. Blinding not detected. Power Analysis ,” OR “severe”. 2.2. Inclusion and Exclusion Criteria: Inclusion criteria were as follows: (i) studies that examined COVID-19 women within reproductive age and diagnosed COVID-19 according to WHO criteria; (ii) observational, cross-sectional, prospective, or retrospective studies; (iii) studies that compared pregnant women versus non-pregnant women with severe COVID-19 characterized by cytokine storm; (iv) studies evaluating the clinical prognosis in pregnancy and the immunological profile at any gestation stage and looking at the pro-inflammatory response, covid-19 disease and the hallmark outcome, the severe cytokine storm Exclusion criteria were as follows: (i) unrelated, duplicated, and contain information answering our research question, (ii) non-English-language studies, (iii) case reports/series, (iv) reviews, (v) editorial letters, (vi) studies lacking a full-text (unavailable or not yet published), (vii) studies without a DOI, and (viii) studies with small sample sizes (<50 patients) because of low statistical power. 2.3. Data Extraction: Extraction of both adjusted and non-adjusted data was be performed to give the most allowed confounding factor which would be used in the analysis by pooling them later. Table 2: Resources
Software and Algorithms Sentences Resources Study Search Strategy: We searched by a simple search in Google Scholar, PubMed, Scopus, Web of Science, and Embase databases to identify observational studies suitable for inclusion here with search terms; severe Covid-19 and pregnancy and moving on to other keywords, that is; pregnancy, severe cytokine storm, covid-19 (corona-virus, all in English for the period beginning from March 2020 to March 2021. Google Scholarsuggested: (Google Scholar, RRID:SCR_008878)PubMedsuggested: (PubMed, RRID:SCR_004846)Embasesuggested: (EMBASE, RRID:SCR_001650)Statistical Analyses: RevMan 5.4.1 RevMansuggested: (RevMan, RRID:SCR_003581)Heterogeneity was evaluated with Cochran’s Q and the Higgins test. Cochran’ssuggested: NonePublication bias was evaluated using the Cochrane Risk of Bias tool. Cochrane Risk of Biassuggested: NoneResults from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Given these limitations, caution should be exercised while interpreting the current findings for more valid clinical practice. Future studies may respond to these issues by defining disease severity more clearly and by obtaining more detailed information on the associated inflammatory cytokines defining the COVID-19 cytokine storm. Factors responsible for recurrent pregnancy loss are multiple and altered cytokine profile results in loss of pregnancy especially in the early stages of gestation. Similarly, exposure to high maternal pro-inflammatory cytokine concentrations in early pregnancy might play a part in several futuristic adverse effects on either the woman or the infant outcomes. With future studies, there is a need of the hour that women expecting a pregnancy must be screened to assess the cytokine profile even before conception to avoid loss of pregnancy and to improve the health and social well-being of the females as this may be aggravated in COVID-19 severity. Finally, the interactions between the inherent inflammatory cytokines and cytokine storm due to COVID 19 should also be examined and clarified. In addition, clinicians can pay more attention to the history of pregnancy-related altered immune responses of COVID-19 patients, and more further research may aim to determine mechanisms that drive or decrease this risk of the severity by a ‘within’ the pregnant population study approach.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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