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Dandachi I, Aljabr W. Prognosis of COVID-19 in the middle eastern population, knowns and unknowns. Front Microbiol 2022; 13:974205. [PMID: 36118201 PMCID: PMC9471247 DOI: 10.3389/fmicb.2022.974205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/09/2022] [Indexed: 01/08/2023] Open
Abstract
Since its emergence in China in 2019, the SARS-CoV-2 virus has affected all countries worldwide. The virus is easily transmitted from one person to another via infected aerosols or contaminated surfaces. Unlike its counterparts, the prognosis of COVID-19 ranges from asymptomatic to critical disease or death. Several factors play a role in determining the severity of the disease in infected patients. Among others, is the pre-existence of an underlying medical condition such as diabetes, cancer, and others. Furthermore, although children are less prone to the severe form of the COVID-19 disease, they require attention due to the report of many atypical presentations of the infection, post-asymptomatic exposure. In the Middle East, little is known about the prognosis of the SARS-CoV-2 infection in high-risk categories, notably patients with diabetes, cancer, and pregnant women. The aim of this review is to summarize the current knowledge about this group of population in the middle eastern region as well as to highlight the gap in the literature. We have found that the majority of the papers were from the Gulf countries. Although, few studies were conducted; high-risk patients appear to have an increased risk of morbidity and mortality from COVID-19 compared to their counterparts. Higher levels of inflammatory markers, C-reactive protein, erythrocyte sedimentation rate, D-dimer, and ferritin levels were also observed. Children are often asymptomatic or present with atypical presentations. More studies should be conducted to determine the clinical biomarkers of COVID-19 in high-risk categories to help in patient risk stratification and management in the middle eastern population.
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Affiliation(s)
| | - Waleed Aljabr
- Research Center, King Fahad Medical City, Riyadh, Saudi Arabia
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Sun CY, Chen HP, Kang YN. Associations between pregnancy and symptoms of COVID-19 are worth further analysis. Am J Emerg Med 2022; 61:224-225. [PMID: 35879198 PMCID: PMC9296370 DOI: 10.1016/j.ajem.2022.07.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/10/2022] [Accepted: 07/17/2022] [Indexed: 11/18/2022] Open
Affiliation(s)
- Chia-Yi Sun
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan; International Medical Service Center, MacKay Memorial Hospital, Taipei, Taiwan
| | - Hsin-Ping Chen
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan; Department of Nursing, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan
| | - Yi-No Kang
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan; Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan; Evidence-Based Medicine Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Cochrane Taiwan, Taipei Medical University, Taipei, Taiwan; Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.
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Wang H, Li N, Sun C, Guo X, Su W, Song Q, Liang Q, Liang M, Ding X, Lowe S, Bentley R, Sun Y. The association between pregnancy and COVID-19: A systematic review and meta-analysis. Am J Emerg Med 2022; 56:188-195. [PMID: 35413655 PMCID: PMC8986277 DOI: 10.1016/j.ajem.2022.03.060] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/28/2022] [Accepted: 03/28/2022] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVES The purpose of this study was to compare and determine whether there were any differences in clinical outcomes between pregnant and non-pregnant women who had been infected with COVID-19. METHODS A literature search was performed in 9 databases on November 20, 2021. The relative risk (RR) with 95% confidence interval (95% CI) was used to estimate the effect of pregnancy on COVID-19 outcomes. The I square value was used to assess heterogeneity, and the random or the fixed-effects model were adopted. Sensitivity and publication bias analyses were performed. RESULTS This study included 8 published studies with 859,278 COVID-19 female patients. The incidences of fever and cough among pregnant women with COVID-19 were 19.07% and 28.79%, respectively. Pregnancy was associated with significantly increased risks of intensive care unit (ICU) admission (RR = 2.23, 95% CI = 1.58-3.16) and ventilation (RR = 2.13, 95% CI = 1.06-4.28), but was not associated with a statistically significant increase in mortality. CONCLUSIONS Our results suggest that pregnant women with COVID-19 have a significantly higher probability of being hospitalized to the ICU and ventilation than non-pregnant women with COVID-19. To avoid these adverse outcomes, pregnant women should take precautions (for example, reduce going out, maintain social distance, and wear a mask) to avoid COVID-19 infection. Finally, additional research into the fetal outcomes is required to better investigate the impact of COVID-19 on pregnancy.
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Affiliation(s)
- Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Chenyu Sun
- Internal Medicine, AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL 60657, USA
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China,Children's Hospital of Anhui Medical University, No.39 Wangjiang Road East, Hefei 23005, Anhui, China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO 64106, USA
| | - Rachel Bentley
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO 64106, USA
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China,Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei 238006, Anhui, China,Center for Evidence-Based Practice, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China,Corresponding author at: Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
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