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Published in: Systematic Reviews 1/2021

Open Access 01-12-2021 | Coronavirus | Systematic review update

The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis

Authors: Sofonyas Abebaw Tiruneh, Zemenu Tadese Tesema, Melkalem Mamuye Azanaw, Dessie Abebaw Angaw

Published in: Systematic Reviews | Issue 1/2021

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Abstract

Background

The coronavirus (COVID-19) pandemic was reported from Wuhan, China, on December 31, 2019, and the pandemic was spread to more than 212 countries in the globe. This meta-analysis aimed to assess the pooled incidence of COVID-19 complications and to identify the association between the incidence of complications and age.

Methods

Comprehensive databases, PubMed, Hinari, and Google Scholar, were used to locate potential articles for this review. Data were extracted using Microsoft Excel and imported to the STATA/MP version 16.0 software for analysis. Heterogeneity between studies was assessed using the Cochrane Q test statistics and I2 test, and small study effect was checked using Egger’s statistical test at 5% significant level. Sensitivity analysis was checked. A random-effects model was conducted to estimate the pooled incidence of COVID-19 complications. Univariate meta-regression was conducted to identify the association between the mean ages with each complication.

Results

From the total of 1237 studies, 12 studies were included with a total of 3064 COVID-19 patients. The most complications were acute respiratory distress syndrome (30.93%, 95%CI 21.3–40.6%) followed by acute liver injury (22.8%, 95%CI 14–31.5%), shock (10.9%, 95%CI 7.4–14.4%), acute kidney injury (7%, 95%CI 3.8–10.4%), and acute cardiac injury (6.4%, 95%CI 2.8–15.6%). Univariate meta-regression revealed that as the mean age increased by 1 year, the incidence of acute respiratory distress syndrome, acute kidney injury, acute cardiac injury, and shock increased by a factor of 2.9 (β = 2.9, 95%CI 2.4–3.4, adjusted R2 = 88), 0.4 (β = 0.4, 95%CI 0.04–0.72, adjusted R2 = 54), 1.6 (β = 1.6, 95%CI 1.1–2.1, adjusted R2 = 85), and 1.1 (β = 1.1, 95%CI 0.8–1.5, adjusted R2 = 26) times respectively.

Conclusion

Significant complications of COVID-19 viral infections were reported. Older populations were a high-risk group of developing adverse complications as compared to their counterparts. Health care professionals should give primary attention to those risk group individuals.
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Literature
2.
go back to reference Ward MP, Li X, Tian K. Novel coronavirus 2019, an emerging public health emergency. Transbound Emerg Dis. 2020;67(2):469. Ward MP, Li X, Tian K. Novel coronavirus 2019, an emerging public health emergency. Transbound Emerg Dis. 2020;67(2):469.
4.
go back to reference Guan W, Ni Z, Hu Y, Liang W, Ou C, He J, Liu L, Shan H, Lei CL, Hui DSC, du B, Li LJ, Zeng G, Yuen KY, Chen RC, Tang CL, Wang T, Chen PY, Xiang J, Li SY, Wang JL, Liang ZJ, Peng YX, Wei L, Liu Y, Hu YH, Peng P, Wang JM, Liu JY, Chen Z, Li G, Zheng ZJ, Qiu SQ, Luo J, Ye CJ, Zhu SY, Zhong NS, China Medical Treatment Expert Group for Covid-19. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382(18):1708–20. https://doi.org/10.1056/NEJMoa2002032.CrossRefPubMed Guan W, Ni Z, Hu Y, Liang W, Ou C, He J, Liu L, Shan H, Lei CL, Hui DSC, du B, Li LJ, Zeng G, Yuen KY, Chen RC, Tang CL, Wang T, Chen PY, Xiang J, Li SY, Wang JL, Liang ZJ, Peng YX, Wei L, Liu Y, Hu YH, Peng P, Wang JM, Liu JY, Chen Z, Li G, Zheng ZJ, Qiu SQ, Luo J, Ye CJ, Zhu SY, Zhong NS, China Medical Treatment Expert Group for Covid-19. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382(18):1708–20. https://​doi.​org/​10.​1056/​NEJMoa2002032.CrossRefPubMed
6.
go back to reference Adhikari SP, Meng S, Wu Y, Mao Y, Ye R, Wang Q, et al. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review; 2020. p. 1–12. Adhikari SP, Meng S, Wu Y, Mao Y, Ye R, Wang Q, et al. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review; 2020. p. 1–12.
10.
go back to reference Downes MJ, Brennan ML, Williams HC, Dean RS. Development of a critical appraisal tool to assess the quality of cross-sectional studies (AXIS). BMJ Open. 2016;6:1–7.CrossRef Downes MJ, Brennan ML, Williams HC, Dean RS. Development of a critical appraisal tool to assess the quality of cross-sectional studies (AXIS). BMJ Open. 2016;6:1–7.CrossRef
14.
go back to reference Green JP, Cochrane S. Handbook for systematic reviews of interventions. Cochrane Collaboration and John Wiley & Sons Ltd; 2017. p. 1-674. Green JP, Cochrane S. Handbook for systematic reviews of interventions. Cochrane Collaboration and John Wiley & Sons Ltd; 2017. p. 1-674.
16.
go back to reference Duval S, Tweedie R. A nonparametric “trim and fill” method of accounting for publication bias in meta-analysis. J Am Stat Assoc. 2000;95:89–98. Duval S, Tweedie R. A nonparametric “trim and fill” method of accounting for publication bias in meta-analysis. J Am Stat Assoc. 2000;95:89–98.
19.
go back to reference Deng Y, Liu W, Liu K, Fang Y, Shang J, Zhou L, et al. Clinical characteristics of fatal and recovered cases of coronavirus disease 2019 (COVID-19) in Wuhan, China. Chin Med J (Engl). 2020;2019:1. Deng Y, Liu W, Liu K, Fang Y, Shang J, Zhou L, et al. Clinical characteristics of fatal and recovered cases of coronavirus disease 2019 (COVID-19) in Wuhan, China. Chin Med J (Engl). 2020;2019:1.
20.
go back to reference Jin X, Lian JS, Hu JH, Gao J, Zheng L, Zhang YM, Hao SR, Jia HY, Cai H, Zhang XL, Yu GD. Epidemiological, clinical and virological characteristics of 74 cases of coronavirus-infected disease 2019 (COVID-19) with gastrointestinal symptoms. Gut. 2020;69(6):1002–9. Jin X, Lian JS, Hu JH, Gao J, Zheng L, Zhang YM, Hao SR, Jia HY, Cai H, Zhang XL, Yu GD. Epidemiological, clinical and virological characteristics of 74 cases of coronavirus-infected disease 2019 (COVID-19) with gastrointestinal symptoms. Gut. 2020;69(6):1002–9.
22.
go back to reference Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. 2020;2600:1–7. Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. 2020;2600:1–7.
23.
go back to reference Zhang G, Hu C, Luo L, Fang F, Chen Y, Li J, Peng Z, Pan H. Clinical features and outcomes of 221 patients with COVID-19 in Wuhan, China. MedRxiv. 2020. Zhang G, Hu C, Luo L, Fang F, Chen Y, Li J, Peng Z, Pan H. Clinical features and outcomes of 221 patients with COVID-19 in Wuhan, China. MedRxiv. 2020.
24.
go back to reference Cao J, Tu WJ, Cheng W, Yu L, Liu YK, Hu X, Liu Q. Clinical features and short-term outcomes of 102 patients with coronavirus disease 2019 in Wuhan, China. Clin Infect Dis. 2020;71(15):748–55. Cao J, Tu WJ, Cheng W, Yu L, Liu YK, Hu X, Liu Q. Clinical features and short-term outcomes of 102 patients with coronavirus disease 2019 in Wuhan, China. Clin Infect Dis. 2020;71(15):748–55.
25.
go back to reference Du Y, Tu L, Zhu P, Mu M, Wang R, Yang P, Wang X, Hu C, Ping R, Hu P, Li T. Clinical features of 85 fatal cases of COVID-19 from Wuhan. A retrospective observational study. Am J Respir Crit Care Med. 2020;201(11):1372–9. Du Y, Tu L, Zhu P, Mu M, Wang R, Yang P, Wang X, Hu C, Ping R, Hu P, Li T. Clinical features of 85 fatal cases of COVID-19 from Wuhan. A retrospective observational study. Am J Respir Crit Care Med. 2020;201(11):1372–9.
28.
go back to reference Chen T, Wu D, Chen H, Yan W, Yang D, Chen G, et al. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ. 2020;368:m1091.CrossRefPubMedPubMedCentral Chen T, Wu D, Chen H, Yan W, Yang D, Chen G, et al. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ. 2020;368:m1091.CrossRefPubMedPubMedCentral
29.
go back to reference Irwig L, Macaskill P, Berry G, Glasziou P. Bias in meta-analysis detected by a simple, graphical test. Graphical test is itself biased. BMJ. 1998;316:629–34.CrossRef Irwig L, Macaskill P, Berry G, Glasziou P. Bias in meta-analysis detected by a simple, graphical test. Graphical test is itself biased. BMJ. 1998;316:629–34.CrossRef
31.
go back to reference Sahin U, Muik A, Derhovanessian E, Vogler I, Kranz LM. Concurrent human antibody and T H 1 type T-cell responses elicited by a COVID-19 RNA vaccine; 2020. Sahin U, Muik A, Derhovanessian E, Vogler I, Kranz LM. Concurrent human antibody and T H 1 type T-cell responses elicited by a COVID-19 RNA vaccine; 2020.
33.
go back to reference Fu X, Zhou Y, Wu J, Liu X, Ding C, Huang C, et al. Clinical characteristics and outcomes during a severe influenza season in China during 2017-2018. BMC Infect Dis. 2019;19:1–10.CrossRef Fu X, Zhou Y, Wu J, Liu X, Ding C, Huang C, et al. Clinical characteristics and outcomes during a severe influenza season in China during 2017-2018. BMC Infect Dis. 2019;19:1–10.CrossRef
34.
go back to reference Habib AMG, Ali MAE, Zouaoui BR, Taha MAH, Mohammed BS, Saquib N. Clinical outcomes among hospital patients with Middle East respiratory syndrome coronavirus (MERS-CoV) infection. BMC Infect Dis. 2019;19:1–6.CrossRef Habib AMG, Ali MAE, Zouaoui BR, Taha MAH, Mohammed BS, Saquib N. Clinical outcomes among hospital patients with Middle East respiratory syndrome coronavirus (MERS-CoV) infection. BMC Infect Dis. 2019;19:1–6.CrossRef
35.
go back to reference Hu X, Deng Y, Wang J, Li H, Li M, Lu Z. Short term outcome and risk factors for mortality in adults with critical severe acute respiratory syndrome (SARS). J Huazhong Univ Sci Technol Med Sci. 2004;24:514–7.CrossRef Hu X, Deng Y, Wang J, Li H, Li M, Lu Z. Short term outcome and risk factors for mortality in adults with critical severe acute respiratory syndrome (SARS). J Huazhong Univ Sci Technol Med Sci. 2004;24:514–7.CrossRef
Metadata
Title
The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis
Authors
Sofonyas Abebaw Tiruneh
Zemenu Tadese Tesema
Melkalem Mamuye Azanaw
Dessie Abebaw Angaw
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2021
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-021-01636-2

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