Skip to main content
Erschienen in: Journal of Community Health 6/2020

12.09.2020 | COVID-19 | Original Paper Zur Zeit gratis

Prevalence and Associated Risk Factors of Mortality Among COVID-19 Patients: A Meta-Analysis

verfasst von: Farha Musharrat Noor, Md. Momin Islam

Erschienen in: Journal of Community Health | Ausgabe 6/2020

Einloggen, um Zugang zu erhalten

Abstract

Objectives

The main aim of this study was to find the prevalence of mortality among hospitalized COVID-19 infected patients and associated risk factors for death.

Methods

Three electronic databases including PubMed, Science Direct and Google Scholar were searched to identify relevant cohort studies of COVID-19 disease from January 1, 2020, to August 11, 2020. A random-effects model was used to calculate pooled prevalence rate (PR), risk ratio (RR) and 95% confidence interval (CI) for both effect measures. Cochrane chi-square test statistic Q, \({I}^{2}\), and \({\tau }^{2}\) tests were used to measure the presence of heterogeneity. Publication bias and sensitivity of the included studies were also tested.

Results

In this meta-analysis, a total of 58 studies with 122,191 patients were analyzed. The pooled prevalence rate of mortality among the hospitalized COVID-19 patients was 18.88%, 95% CI (16.46–21.30), p < 0.001. Highest mortality was found in Europe [PR 26.85%, 95% CI (19.41–34.29), p < 0.001] followed by North America [PR 21.47%, 95% CI (16.27–26.68), p < 0.001] and Asia [PR 14.83%, 95% CI (12.46- 17.21), p < 0.001]. An significant association were found between mortality among COVID-19 infected patients and older age (> 65 years vs. < 65 years) [RR 3.59, 95% CI (1.87–6.90), p < 0.001], gender (male vs. female) [RR 1.63, 95% CI (1.43–1.87), p < 0.001], ICU admitted patients [RR 3.72, 95% CI (2.70–5.13), p < 0.001], obesity [RR 2.18, 95% CI (1.10–4.34), p < 0.05], hypertension [RR 2.08,95% CI (1.79–2.43) p < 0.001], diabetes [RR 1.87, 95% CI (1.23–2.84), p < 0.001], cardiovascular disease [RR 2.51, 95% CI (1.20–5.26), p < 0.05], and cancer [RR 2.31, 95% CI (1.80–2.97), p < 0.001]. In addition, significant association for high risk of mortality were also found for cerebrovascular disease, COPD, coronary heart disease, chronic renal disease, chronic liver disease, chronic lung disease and chronic kidney disease.

Conclusion

This meta-analysis revealed that the mortality rate among COVID-19 patients was highest in the European region and older age, gender, ICU patients, patients with comorbidity had a high risk for case fatality. Those findings would help the health care providers to reduce the mortality rate and combat this pandemic to save lives using limited resources.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
2.
Zurück zum Zitat Wang, D., Hu, B., Hu, C., et al. (2020). Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. JAMA, 323(11), 1061–1069. Wang, D., Hu, B., Hu, C., et al. (2020). Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. JAMA, 323(11), 1061–1069.
3.
Zurück zum Zitat Su, S., Wong, G., ShiW, L. J., Lai, A. C. K., Zhou, J., et al. (2016). Epidemiology, genetic recombination, and pathogenesis of coronaviruses. Trends Microbiology, 24, 490–502. Su, S., Wong, G., ShiW, L. J., Lai, A. C. K., Zhou, J., et al. (2016). Epidemiology, genetic recombination, and pathogenesis of coronaviruses. Trends Microbiology, 24, 490–502.
4.
Zurück zum Zitat Cui, J., Li, F., & Shi, Z. L. (2019). Origin and evolution of pathogenic coronaviruses. Nature Reviews Microbiology, 17, 181–192. Cui, J., Li, F., & Shi, Z. L. (2019). Origin and evolution of pathogenic coronaviruses. Nature Reviews Microbiology, 17, 181–192.
5.
Zurück zum Zitat Wu, Z., & McGoogan, J. M. (2020). Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese center for disease control and prevention. Journal of American Medical Association, 323, 1239–1242. Wu, Z., & McGoogan, J. M. (2020). Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese center for disease control and prevention. Journal of American Medical Association, 323, 1239–1242.
7.
Zurück zum Zitat Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., et al. (2020). Prevalence of comorbidities in the novel wuhan coronavirus (COVID-19) infection: A systematic review and meta-analysis. International Journal of Infectious Diseases, 8, 782–792. Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., et al. (2020). Prevalence of comorbidities in the novel wuhan coronavirus (COVID-19) infection: A systematic review and meta-analysis. International Journal of Infectious Diseases, 8, 782–792.
9.
Zurück zum Zitat Wu, C., Chen, X., Cai, Y., et al. (2020). Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan China. JAMA Internal Medicine, 180(7), 1–11. Wu, C., Chen, X., Cai, Y., et al. (2020). Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan China. JAMA Internal Medicine, 180(7), 1–11.
10.
Zurück zum Zitat Zhang, J., Wang, X., Jia, X., Li, J., Hu, K., Chen, G., et al. (2020). Risk factors for disease severity, unimprovement, and mortality of COVID-19 patients in Wuhan, China. Clinical Microbiology and Infection, 26, 767–772. Zhang, J., Wang, X., Jia, X., Li, J., Hu, K., Chen, G., et al. (2020). Risk factors for disease severity, unimprovement, and mortality of COVID-19 patients in Wuhan, China. Clinical Microbiology and Infection, 26, 767–772.
11.
Zurück zum Zitat Yu, C., Lei, Q., Li, W., Wang, X., Liu, W., Fan, X., et al. (2020). Clinical characteristics, associated factors, and predicting COVID-19 mortality risk: A retrospective study in wuhan, China. American Journal of Preventive Medicine, 59, 168–175. Yu, C., Lei, Q., Li, W., Wang, X., Liu, W., Fan, X., et al. (2020). Clinical characteristics, associated factors, and predicting COVID-19 mortality risk: A retrospective study in wuhan, China. American Journal of Preventive Medicine, 59, 168–175.
12.
Zurück zum Zitat Cen, Y., Chen, X., Shen, Y., Zhang, X. H., Lei, Y., Xu, C., et al. (2020). Risk factors for disease progression in mild to moderate COVID-19 patients–a multi-center observational study. Clinical Microbiology and Infection, 26, 1242–1247. Cen, Y., Chen, X., Shen, Y., Zhang, X. H., Lei, Y., Xu, C., et al. (2020). Risk factors for disease progression in mild to moderate COVID-19 patients–a multi-center observational study. Clinical Microbiology and Infection, 26, 1242–1247.
13.
Zurück zum Zitat Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., et al. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. The lancet, 395, 1054–1062. Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., et al. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. The lancet, 395, 1054–1062.
14.
Zurück zum Zitat Rocio, L. G., Alberto, U. R., Paloma, T., Maria, L. L., Angel, R. F., Laura, N., et al. (2020). Interleukin-6-based mortality risk model for hospitalised COVID-19 patients. Journal of Allergy and Clinical Immunology, 6749(20), 31027–31037. Rocio, L. G., Alberto, U. R., Paloma, T., Maria, L. L., Angel, R. F., Laura, N., et al. (2020). Interleukin-6-based mortality risk model for hospitalised COVID-19 patients. Journal of Allergy and Clinical Immunology, 6749(20), 31027–31037.
15.
Zurück zum Zitat Urra, J. M., Cabrera, C. M., Porras, L., & Ródenas, I. (2020). Selective CD8 cell reduction by SARS-CoV-2 is associated with a worse prognosis and systemic inflammation in COVID-19 patients. Clinical Immunology, 29, 108486. Urra, J. M., Cabrera, C. M., Porras, L., & Ródenas, I. (2020). Selective CD8 cell reduction by SARS-CoV-2 is associated with a worse prognosis and systemic inflammation in COVID-19 patients. Clinical Immunology, 29, 108486.
17.
Zurück zum Zitat Li, T., Lu, L., Zhang, W., Tao, Y., Wang, L., Bao, J., et al. (2020). Clinical characteristics of 312 hospitalized older patients with COVID-19 in Wuhan, China. Archives of Gerontology and Geriatrics, 15, 104185. Li, T., Lu, L., Zhang, W., Tao, Y., Wang, L., Bao, J., et al. (2020). Clinical characteristics of 312 hospitalized older patients with COVID-19 in Wuhan, China. Archives of Gerontology and Geriatrics, 15, 104185.
18.
Zurück zum Zitat Anwar, S., Nasrullah, M., & Hosen, M. J. (2020). COVID-19 and Bangladesh: Challenges and how to address them. Frontiers in Public Health, 8, 154. Anwar, S., Nasrullah, M., & Hosen, M. J. (2020). COVID-19 and Bangladesh: Challenges and how to address them. Frontiers in Public Health, 8, 154.
20.
Zurück zum Zitat Margulis, A. V., Pladevall, M., Riera-Guardia, N., Varas-Lorenzo, C., Hazell, L., Berkman, N. D., et al. (2014). Quality assessment of observational studies in a drug-safety systematic review, comparison of two tools: The newcastle-ottawa scale and the RTI item bank. Clinical Epidemiology, 6, 359. https://doi.org/10.2147/CLEP.S66677.CrossRef Margulis, A. V., Pladevall, M., Riera-Guardia, N., Varas-Lorenzo, C., Hazell, L., Berkman, N. D., et al. (2014). Quality assessment of observational studies in a drug-safety systematic review, comparison of two tools: The newcastle-ottawa scale and the RTI item bank. Clinical Epidemiology, 6, 359. https://​doi.​org/​10.​2147/​CLEP.​S66677.CrossRef
21.
Zurück zum Zitat Parohan, M., Yaghoubi, S., Seraji, A., Javanbakht, M. H., Sarraf, P., & Djalali, M. (2020). Risk factors for mortality in patients with coronavirus disease 2019 (COVID-19) infection: A systematic review and meta-analysis of observational studies. The Aging Male, 5, 1–9. Parohan, M., Yaghoubi, S., Seraji, A., Javanbakht, M. H., Sarraf, P., & Djalali, M. (2020). Risk factors for mortality in patients with coronavirus disease 2019 (COVID-19) infection: A systematic review and meta-analysis of observational studies. The Aging Male, 5, 1–9.
23.
Zurück zum Zitat Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2011). Introduction to meta-analysis. New York: Wiley. Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2011). Introduction to meta-analysis. New York: Wiley.
25.
Zurück zum Zitat Sutton, A. J., Abrams, K. R., Jones, D. R., Sheldon, T. A., & Song, F. (2000). Methods for meta-analysis in medical research. Chichester: Wiley. Sutton, A. J., Abrams, K. R., Jones, D. R., Sheldon, T. A., & Song, F. (2000). Methods for meta-analysis in medical research. Chichester: Wiley.
26.
Zurück zum Zitat Deng, X., Yang, J., Wang, W., Wang, X., Zhou, J., Chen, Z., et al. (2020). Case fatality risk of the first pandemic wave of novel coronavirus disease 2019 (COVID-19) in China. Clinical Infectious Diseases, 13, 199–203. Deng, X., Yang, J., Wang, W., Wang, X., Zhou, J., Chen, Z., et al. (2020). Case fatality risk of the first pandemic wave of novel coronavirus disease 2019 (COVID-19) in China. Clinical Infectious Diseases, 13, 199–203.
27.
Zurück zum Zitat Chen, R., Liang, W., Jiang, M., Guan, W., Zhan, C., Wang, T., et al. (2020). Risk factors of fatal outcome in hospitalized subjects with coronavirus disease 2019 from a nationwide analysis in China. Chest, 158, 97–105. Chen, R., Liang, W., Jiang, M., Guan, W., Zhan, C., Wang, T., et al. (2020). Risk factors of fatal outcome in hospitalized subjects with coronavirus disease 2019 from a nationwide analysis in China. Chest, 158, 97–105.
28.
Zurück zum Zitat Hou, W., Zhang, W., Jin, R., Liang, L., Xu, B., & Hu, Z. (2020). Risk factors for disease progression in hospitalized patients with COVID-19: A retrospective cohort study. Infectious Diseases, 5, 1–8. Hou, W., Zhang, W., Jin, R., Liang, L., Xu, B., & Hu, Z. (2020). Risk factors for disease progression in hospitalized patients with COVID-19: A retrospective cohort study. Infectious Diseases, 5, 1–8.
29.
Zurück zum Zitat Zhang, Y., Cui, Y., Shen, M., Zhang, J., Liu, B., Dai, M., et al. (2020). Association of diabetes mellitus with disease severity and prognosis in COVID-19: A retrospective cohort study. Diabetes Research and Clinical Practice, 165, 108227. Zhang, Y., Cui, Y., Shen, M., Zhang, J., Liu, B., Dai, M., et al. (2020). Association of diabetes mellitus with disease severity and prognosis in COVID-19: A retrospective cohort study. Diabetes Research and Clinical Practice, 165, 108227.
30.
Zurück zum Zitat Wang, K., Zuo, P., Liu, Y., Zhang, M., Zhao, X., Xie, S., et al. (2020). Clinical and laboratory predictors of in-hospital mortality in patients with COVID-19: A cohort study in Wuhan, China. Clinical Infectious Diseases, 10, ciaa538. Wang, K., Zuo, P., Liu, Y., Zhang, M., Zhao, X., Xie, S., et al. (2020). Clinical and laboratory predictors of in-hospital mortality in patients with COVID-19: A cohort study in Wuhan, China. Clinical Infectious Diseases, 10, ciaa538.
31.
Zurück zum Zitat Chen, J., Bai, H., Liu, J., Chen, G., Liao, Q., Yang, J., et al. (2020). Distinct clinical characteristics and risk factors for mortality in female COVID-19 inpatients: A sex-stratified large-scale cohort study in Wuhan, China. Clinical Infectious Diseases, 8, ciaa920. Chen, J., Bai, H., Liu, J., Chen, G., Liao, Q., Yang, J., et al. (2020). Distinct clinical characteristics and risk factors for mortality in female COVID-19 inpatients: A sex-stratified large-scale cohort study in Wuhan, China. Clinical Infectious Diseases, 8, ciaa920.
32.
Zurück zum Zitat Yao, Q., Wang, P., Wang, X., Qie, G., Meng, M., Tong, X., et al. (2020). A retrospective study of risk factors for severe acute respiratory syndrome coronavirus 2 infections in hospitalized adult patients. Polish Archives of Internal Medicine, 130(5), 390–399. Yao, Q., Wang, P., Wang, X., Qie, G., Meng, M., Tong, X., et al. (2020). A retrospective study of risk factors for severe acute respiratory syndrome coronavirus 2 infections in hospitalized adult patients. Polish Archives of Internal Medicine, 130(5), 390–399.
33.
Zurück zum Zitat Chen, L., Yu, J., He, W., Chen, L., Yuan, G., Dong, F., et al. (2020). Risk factors for death in 1859 subjects with COVID-19. Leukemia, 34(8), 2173–2183. Chen, L., Yu, J., He, W., Chen, L., Yuan, G., Dong, F., et al. (2020). Risk factors for death in 1859 subjects with COVID-19. Leukemia, 34(8), 2173–2183.
34.
Zurück zum Zitat Du, R. H., Liang, L. R., Yang, C. Q., Wang, W., Cao, T. Z., Li, M., et al. (2020). Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: A prospective cohort study. European Respiratory Journal, 55(5), 524. Du, R. H., Liang, L. R., Yang, C. Q., Wang, W., Cao, T. Z., Li, M., et al. (2020). Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: A prospective cohort study. European Respiratory Journal, 55(5), 524.
35.
Zurück zum Zitat Chen, F., Sun, W., Sun, S., Li, Z., Wang, Z., & Yu, L. (2020). Clinical characteristics and risk factors for mortality among inpatients with COVID-19 in Wuhan, China. Clinical and Translational Medicine, 10(2), e40. Chen, F., Sun, W., Sun, S., Li, Z., Wang, Z., & Yu, L. (2020). Clinical characteristics and risk factors for mortality among inpatients with COVID-19 in Wuhan, China. Clinical and Translational Medicine, 10(2), e40.
36.
Zurück zum Zitat Chen, F. F., Zhong, M., Liu, Y., Zhang, Y., Zhang, K., Su, D. Z., et al. (2020). The characteristics and outcomes of 681 severe cases with COVID-19 in China. Journal of Critical Care, 146, NEJMoa2002032. Chen, F. F., Zhong, M., Liu, Y., Zhang, Y., Zhang, K., Su, D. Z., et al. (2020). The characteristics and outcomes of 681 severe cases with COVID-19 in China. Journal of Critical Care, 146, NEJMoa2002032.
37.
Zurück zum Zitat Shi, Q., Zhang, X., Jiang, F., Zhang, X., Hu, N., Bimu, C., et al. (2020). Clinical characteristics and risk factors for mortality of COVID-19 patients with diabetes in Wuhan, China: A two-center, retrospective study. Diabetes Cares, 43(7), 1382–1391. Shi, Q., Zhang, X., Jiang, F., Zhang, X., Hu, N., Bimu, C., et al. (2020). Clinical characteristics and risk factors for mortality of COVID-19 patients with diabetes in Wuhan, China: A two-center, retrospective study. Diabetes Cares, 43(7), 1382–1391.
38.
Zurück zum Zitat Li, X., Xu, S., Yu, M., Wang, K., Tao, Y., Zhou, Y., et al. (2020). Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. Journal of Allergy and Clinical Immunology, 146(1), 110–118. Li, X., Xu, S., Yu, M., Wang, K., Tao, Y., Zhou, Y., et al. (2020). Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. Journal of Allergy and Clinical Immunology, 146(1), 110–118.
39.
Zurück zum Zitat Wang, L., He, W., Yu, X., Hu, D., Bao, M., Liu, H., et al. (2020). Coronavirus disease 2019 in elderly patients: Characteristics and prognostic factors based on 4-week follow-up. Journal of Infection, 80(6), 639–645. Wang, L., He, W., Yu, X., Hu, D., Bao, M., Liu, H., et al. (2020). Coronavirus disease 2019 in elderly patients: Characteristics and prognostic factors based on 4-week follow-up. Journal of Infection, 80(6), 639–645.
40.
Zurück zum Zitat Yang, K., Sheng, Y., Huang, C., Jin, Y., Xiong, N., Jiang, K., et al. (2020). Clinical characteristics, outcomes, and risk factors for mortality in patients with cancer and COVID-19 in Hubei, China: A multicentre, retrospective, cohort study. The Lancet Oncology, 21(7), 904–913. Yang, K., Sheng, Y., Huang, C., Jin, Y., Xiong, N., Jiang, K., et al. (2020). Clinical characteristics, outcomes, and risk factors for mortality in patients with cancer and COVID-19 in Hubei, China: A multicentre, retrospective, cohort study. The Lancet Oncology, 21(7), 904–913.
41.
Zurück zum Zitat Luo, M., Liu, J., Jiang, W., Yue, S., Liu, H., & Wei, S. (2020). IL-6 and CD8+ T cell counts combined are an early predictor of in-hospital mortality of patients with COVID-19. JCI insight, 5(13), e139024. Luo, M., Liu, J., Jiang, W., Yue, S., Liu, H., & Wei, S. (2020). IL-6 and CD8+ T cell counts combined are an early predictor of in-hospital mortality of patients with COVID-19. JCI insight, 5(13), e139024.
42.
Zurück zum Zitat Zhao, Y., Nie, H. X., Hu, K., Wu, X. J., Zhang, Y. T., Wang, M. M., et al. (2020). Abnormal immunity of non-survivors with COVID-19: Predictors for mortality. Infectious Diseases of Poverty, 9(1), 1. Zhao, Y., Nie, H. X., Hu, K., Wu, X. J., Zhang, Y. T., Wang, M. M., et al. (2020). Abnormal immunity of non-survivors with COVID-19: Predictors for mortality. Infectious Diseases of Poverty, 9(1), 1.
43.
Zurück zum Zitat Zhang, L., Han, C., Zhang, S., Duan, C., Shang, H., Bai, T., et al. (2020). Diarrhea and altered inflammatory cytokine pattern in severe COVID-19: Impact on disease course and in-hospital mortality. Journal of Gastroenterology and Hepatology, 16(10), 1753–1766. Zhang, L., Han, C., Zhang, S., Duan, C., Shang, H., Bai, T., et al. (2020). Diarrhea and altered inflammatory cytokine pattern in severe COVID-19: Impact on disease course and in-hospital mortality. Journal of Gastroenterology and Hepatology, 16(10), 1753–1766.
44.
Zurück zum Zitat Chen, X., Yan, L., Fei, Y., & Zhang, C. (2020). Laboratory abnormalities and risk factors associated with in-hospital death in patients with severe COVID-19. Journal of Clinical Laboratory Analysis, 1, e23467. Chen, X., Yan, L., Fei, Y., & Zhang, C. (2020). Laboratory abnormalities and risk factors associated with in-hospital death in patients with severe COVID-19. Journal of Clinical Laboratory Analysis, 1, e23467.
45.
Zurück zum Zitat Cheng, A., Hu, L., Wang, Y., Huang, L., Zhao, L., Zhang, C., et al. (2020). Diagnostic performance of initial blood urea nitrogen combined with D-Dimer levels for predicting in-hospital mortality in COVID-19 patients. International Journal of Antimicrobial Agents, 23, 106110. Cheng, A., Hu, L., Wang, Y., Huang, L., Zhao, L., Zhang, C., et al. (2020). Diagnostic performance of initial blood urea nitrogen combined with D-Dimer levels for predicting in-hospital mortality in COVID-19 patients. International Journal of Antimicrobial Agents, 23, 106110.
46.
Zurück zum Zitat Meng, Y., Lu, W., Guo, E., Liu, J., Yang, B., Wu, P., et al. (2020). Cancer history is an independent risk factor for mortality in hospitalized COVID-19 patients: a propensity score-matched analysis. Journal of Hematology and Oncology, 13(1), 1–1. Meng, Y., Lu, W., Guo, E., Liu, J., Yang, B., Wu, P., et al. (2020). Cancer history is an independent risk factor for mortality in hospitalized COVID-19 patients: a propensity score-matched analysis. Journal of Hematology and Oncology, 13(1), 1–1.
47.
Zurück zum Zitat Xu, J., Yang, X., Yang, L., Zou, X., Wang, Y., Wu, Y., et al. (2020). Clinical course and predictors of 60-day mortality in 239 critically ill patients with COVID-19: A multicenter retrospective study from Wuhan, China. Critical Care, 24(1), 1–1. Xu, J., Yang, X., Yang, L., Zou, X., Wang, Y., Wu, Y., et al. (2020). Clinical course and predictors of 60-day mortality in 239 critically ill patients with COVID-19: A multicenter retrospective study from Wuhan, China. Critical Care, 24(1), 1–1.
48.
Zurück zum Zitat Redd, W. D., Zhou, J. C., Hathorn, K. E., McCarty, T. R., Bazarbashi, A. N., Thompson, C. C., et al. (2020). Prevalence and characteristics of gastrointestinal symptoms in patients with severe acute respiratory syndrome coronavirus 2 infection in the United States: A multicenter cohort study. Gastroenterology, 159(2), 765–767.e2. Redd, W. D., Zhou, J. C., Hathorn, K. E., McCarty, T. R., Bazarbashi, A. N., Thompson, C. C., et al. (2020). Prevalence and characteristics of gastrointestinal symptoms in patients with severe acute respiratory syndrome coronavirus 2 infection in the United States: A multicenter cohort study. Gastroenterology, 159(2), 765–767.e2.
49.
Zurück zum Zitat Mikami, T., Miyashita, H., Yamada, T., Harrington, M., Steinberg, D., Dunn, A., et al. (2020). Risk factors for mortality in patients with COVID-19 in New York city. Journal of General Internal Medicine, 30, 1. Mikami, T., Miyashita, H., Yamada, T., Harrington, M., Steinberg, D., Dunn, A., et al. (2020). Risk factors for mortality in patients with COVID-19 in New York city. Journal of General Internal Medicine, 30, 1.
50.
Zurück zum Zitat Imam, Z., Odish, F., Gill, I., O'Connor, D., Armstrong, J., Vanood, A., et al. (2020). Older age and comorbidity are independent mortality predictors in a large cohort of 1305 COVID-19 patients in michigan United States. Journal of Internal Medicine. https://doi.org/10.1111/joim.13119.CrossRef Imam, Z., Odish, F., Gill, I., O'Connor, D., Armstrong, J., Vanood, A., et al. (2020). Older age and comorbidity are independent mortality predictors in a large cohort of 1305 COVID-19 patients in michigan United States. Journal of Internal Medicine. https://​doi.​org/​10.​1111/​joim.​13119.CrossRef
51.
Zurück zum Zitat Hirsch, J. S., Ng, J. H., Ross, D. W., Sharma, P., Shah, H. H., Barnett, R. L., et al. (2020). Acute kidney injury in patients hospitalized with COVID-19. Kidney International, 98(1), 209–218. Hirsch, J. S., Ng, J. H., Ross, D. W., Sharma, P., Shah, H. H., Barnett, R. L., et al. (2020). Acute kidney injury in patients hospitalized with COVID-19. Kidney International, 98(1), 209–218.
54.
Zurück zum Zitat Cummings, M. J., Baldwin, M. R., Abrams, D., Jacobson, S. D., Meyer, B. J., Balough, E. M., et al. (2020). Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York city: A prospective cohort study. The Lancet, 395(10239), 1763–1770. Cummings, M. J., Baldwin, M. R., Abrams, D., Jacobson, S. D., Meyer, B. J., Balough, E. M., et al. (2020). Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York city: A prospective cohort study. The Lancet, 395(10239), 1763–1770.
55.
Zurück zum Zitat Chilimuri, S., Sun, H., Alemam, A., Mantri, N., Shehi, E., Tejada, J., et al. (2020). Predictors of mortality in adults admitted with COVID-19: Retrospective cohort study from New York city. Western Journal of Emergency Medicine, 21(4), 779. Chilimuri, S., Sun, H., Alemam, A., Mantri, N., Shehi, E., Tejada, J., et al. (2020). Predictors of mortality in adults admitted with COVID-19: Retrospective cohort study from New York city. Western Journal of Emergency Medicine, 21(4), 779.
56.
Zurück zum Zitat Di Castelnuovo, A., Bonaccio, M., Costanzo, S., Gialluisi, A., Antinori, A., Berselli, N., et al. (2020). Common cardiovascular risk factors and in-hospital mortality in 3894 patients with COVID-19: survival analysis and machine learning-based findings from the multicentre Italian CORIST Study. Nutrition, Metabolism and Cardiovascular Diseases. https://doi.org/10.1093/cvr/cvaa106.CrossRef Di Castelnuovo, A., Bonaccio, M., Costanzo, S., Gialluisi, A., Antinori, A., Berselli, N., et al. (2020). Common cardiovascular risk factors and in-hospital mortality in 3894 patients with COVID-19: survival analysis and machine learning-based findings from the multicentre Italian CORIST Study. Nutrition, Metabolism and Cardiovascular Diseases. https://​doi.​org/​10.​1093/​cvr/​cvaa106.CrossRef
57.
Zurück zum Zitat Giacomelli, A., Ridolfo, A. L., Milazzo, L., Oreni, L., Bernacchia, D., Siano, M., et al. (2020). 30-day mortality in patients hospitalized with COVID-19 during the first wave of the Italian epidemic: A prospective cohort study. Pharmacological Research, 22, 104931. Giacomelli, A., Ridolfo, A. L., Milazzo, L., Oreni, L., Bernacchia, D., Siano, M., et al. (2020). 30-day mortality in patients hospitalized with COVID-19 during the first wave of the Italian epidemic: A prospective cohort study. Pharmacological Research, 22, 104931.
59.
Zurück zum Zitat Fattizzo, B., Giannotta, J. A., Sciumè, M., Cattaneo, D., Bucelli, C., Fracchiolla, N. S., et al. (2020). Reply to “COVID-19 in persons with haematological cancers”: A focus on myeloid neoplasms and risk factors for mortality. Leukemia, 26, 1–4. Fattizzo, B., Giannotta, J. A., Sciumè, M., Cattaneo, D., Bucelli, C., Fracchiolla, N. S., et al. (2020). Reply to “COVID-19 in persons with haematological cancers”: A focus on myeloid neoplasms and risk factors for mortality. Leukemia, 26, 1–4.
61.
Zurück zum Zitat Bonetti, G., Manelli, F., Patroni, A., Bettinardi, A., Borrelli, G., Fiordalisi, G., et al. (2020). Laboratory predictors of death from coronavirus disease 2019 (COVID-19) in the area of Valcamonica, Italy. Clinical Chemistry and Laboratory Medicine (CCLM). https://doi.org/10.1515/cclm-2020-0459.CrossRef Bonetti, G., Manelli, F., Patroni, A., Bettinardi, A., Borrelli, G., Fiordalisi, G., et al. (2020). Laboratory predictors of death from coronavirus disease 2019 (COVID-19) in the area of Valcamonica, Italy. Clinical Chemistry and Laboratory Medicine (CCLM). https://​doi.​org/​10.​1515/​cclm-2020-0459.CrossRef
62.
Zurück zum Zitat Poblador-Plou, B., Carmona-Pírez, J., Ioakeim-Skoufa, I., Poncel-Falcó, A., Bliek-Bueno, K., Cano-del Pozo, M., et al. (2020). Baseline chronic comorbidity and mortality in laboratory-confirmed COVID-19 cases: Results from the PRECOVID study in Spain. International Journal of Environmental Research and Public Health, 17(14), 5171. Poblador-Plou, B., Carmona-Pírez, J., Ioakeim-Skoufa, I., Poncel-Falcó, A., Bliek-Bueno, K., Cano-del Pozo, M., et al. (2020). Baseline chronic comorbidity and mortality in laboratory-confirmed COVID-19 cases: Results from the PRECOVID study in Spain. International Journal of Environmental Research and Public Health, 17(14), 5171.
63.
Zurück zum Zitat Goicoechea, M., Cámara, L. A., Macías, N., de Morales, A. M., Rojas, Á. G., Bascuñana, A., et al. (2020). COVID-19: clinical course and outcomes of 36 hemodialysis patients in Spain. Kidney International, 98(1), 27–34. Goicoechea, M., Cámara, L. A., Macías, N., de Morales, A. M., Rojas, Á. G., Bascuñana, A., et al. (2020). COVID-19: clinical course and outcomes of 36 hemodialysis patients in Spain. Kidney International, 98(1), 27–34.
64.
Zurück zum Zitat Mostaza, J. M., García-Iglesias, F., González-Alegre, T., Blanco, F., Varas, M., Hernández-Blanco, C., et al. (2020). Clinical course and prognostic factors of COVID-19 infection in an elderly hospitalized population. Archives of Gerontology and Geriatrics, 27, 104204. Mostaza, J. M., García-Iglesias, F., González-Alegre, T., Blanco, F., Varas, M., Hernández-Blanco, C., et al. (2020). Clinical course and prognostic factors of COVID-19 infection in an elderly hospitalized population. Archives of Gerontology and Geriatrics, 27, 104204.
66.
Zurück zum Zitat Hwang, J. M., Kim, J. H., Park, J. S., Chang, M. C., & Park, D. (2020). Neurological diseases as mortality predictive factors for patients with COVID-19: A retrospective cohort study. Neurological Sciences, 8, 1–8. Hwang, J. M., Kim, J. H., Park, J. S., Chang, M. C., & Park, D. (2020). Neurological diseases as mortality predictive factors for patients with COVID-19: A retrospective cohort study. Neurological Sciences, 8, 1–8.
68.
Zurück zum Zitat Bello-Chavolla, O. Y., Bahena-Lopez, J. P., Antonio-Villa, N. E., Vargas-Vázquez, A., González-Díaz, A., Márquez-Salinas, A., et al. (2020). Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico. MedRxiv. https://doi.org/10.1210/clinem/dgaa346.CrossRef Bello-Chavolla, O. Y., Bahena-Lopez, J. P., Antonio-Villa, N. E., Vargas-Vázquez, A., González-Díaz, A., Márquez-Salinas, A., et al. (2020). Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico. MedRxiv. https://​doi.​org/​10.​1210/​clinem/​dgaa346.CrossRef
69.
Zurück zum Zitat Mowla, S. G., Azad, K. A., Kabir, A., Biswas, S., Islam, M. R., Banik, G. C., et al. (2020). Clinical profile of 100 confirmed COVID-19 patients admitted in dhaka medical college hospital, Dhaka, Bangladesh. Journal of Bangladesh College of Physicians and Surgeons, 9, 29–36. Mowla, S. G., Azad, K. A., Kabir, A., Biswas, S., Islam, M. R., Banik, G. C., et al. (2020). Clinical profile of 100 confirmed COVID-19 patients admitted in dhaka medical college hospital, Dhaka, Bangladesh. Journal of Bangladesh College of Physicians and Surgeons, 9, 29–36.
71.
Zurück zum Zitat Smith, A. A., Fridling, J., Ibhrahim, D., & Porter, P. S., Jr. (2020). Identifying Patients at Greatest risk of mortality due to COVID-19: A new England perspective. Western Journal of Emergency Medicine, 21(4), 785. Smith, A. A., Fridling, J., Ibhrahim, D., & Porter, P. S., Jr. (2020). Identifying Patients at Greatest risk of mortality due to COVID-19: A new England perspective. Western Journal of Emergency Medicine, 21(4), 785.
74.
Zurück zum Zitat Almazeedi, S., Al-Youha, S., Jamal, M. H., Al-Haddad, M., Al-Muhaini, A., Al-Ghimlas, F., et al. (2020). Characteristics, risk factors and outcomes among the first consecutive 1096 patients diagnosed with COVID-19 in Kuwait. EClinicalMedicine, 4, 100448. Almazeedi, S., Al-Youha, S., Jamal, M. H., Al-Haddad, M., Al-Muhaini, A., Al-Ghimlas, F., et al. (2020). Characteristics, risk factors and outcomes among the first consecutive 1096 patients diagnosed with COVID-19 in Kuwait. EClinicalMedicine, 4, 100448.
75.
77.
Zurück zum Zitat Garcia, P. D., Fumeaux, T., Guerci, P., Heuberger, D. M., Montomoli, J., Roche-Campo, F., et al. (2020). Prognostic factors associated with mortality risk and disease progression in 639 critically ill patients with COVID-19 in Europe: Initial report of the international RISC-19-ICU prospective observational cohort. EClinicalMedicine. https://doi.org/10.1016/j.eclinm.2020.100449.CrossRef Garcia, P. D., Fumeaux, T., Guerci, P., Heuberger, D. M., Montomoli, J., Roche-Campo, F., et al. (2020). Prognostic factors associated with mortality risk and disease progression in 639 critically ill patients with COVID-19 in Europe: Initial report of the international RISC-19-ICU prospective observational cohort. EClinicalMedicine. https://​doi.​org/​10.​1016/​j.​eclinm.​2020.​100449.CrossRef
78.
Zurück zum Zitat Pormohammad, A., Ghorbani, S., Khatami, A., Farzi, R., Baradaran, B., Turner, D. L., et al. (2020). Comparison of confirmed COVID-19 with SARS and MERS cases-clinical characteristics, laboratory findings, radiographic signs and outcomes: A systematic review and meta-analysis. Reviews in Medical Virology, 5, e2112. Pormohammad, A., Ghorbani, S., Khatami, A., Farzi, R., Baradaran, B., Turner, D. L., et al. (2020). Comparison of confirmed COVID-19 with SARS and MERS cases-clinical characteristics, laboratory findings, radiographic signs and outcomes: A systematic review and meta-analysis. Reviews in Medical Virology, 5, e2112.
80.
Zurück zum Zitat Iaccarino, G., Grassi, G., Borghi, C., Ferri, C., Salvetti, M., & Volpe, M. (2020). Age and multimorbidity predict death among COVID-19 patients: results of the SARS-RAS study of the Italian Society of hypertension. Hypertension, 76(2), 366–372. Iaccarino, G., Grassi, G., Borghi, C., Ferri, C., Salvetti, M., & Volpe, M. (2020). Age and multimorbidity predict death among COVID-19 patients: results of the SARS-RAS study of the Italian Society of hypertension. Hypertension, 76(2), 366–372.
82.
Zurück zum Zitat Hong, K. H., Choi, J. P., Hong, S. H., et al. (2018). Predictors of mortality in Middle East respiratory syndrome (MERS). Thorax, 73, 286–289. Hong, K. H., Choi, J. P., Hong, S. H., et al. (2018). Predictors of mortality in Middle East respiratory syndrome (MERS). Thorax, 73, 286–289.
84.
Zurück zum Zitat Quartuccio, L., Sonaglia, A., McGonagle, D., Fabris, M., Peghin, M., Pecori, D., et al. (2020). Profiling COVID-19 pneumonia progressing into the cytokine storm syndrome: results from a single Italian centre study on tocilizumab versus standard of care. Journal of Clinical Virology., 15, 104444. Quartuccio, L., Sonaglia, A., McGonagle, D., Fabris, M., Peghin, M., Pecori, D., et al. (2020). Profiling COVID-19 pneumonia progressing into the cytokine storm syndrome: results from a single Italian centre study on tocilizumab versus standard of care. Journal of Clinical Virology., 15, 104444.
Metadaten
Titel
Prevalence and Associated Risk Factors of Mortality Among COVID-19 Patients: A Meta-Analysis
verfasst von
Farha Musharrat Noor
Md. Momin Islam
Publikationsdatum
12.09.2020
Verlag
Springer US
Schlagwort
COVID-19
Erschienen in
Journal of Community Health / Ausgabe 6/2020
Print ISSN: 0094-5145
Elektronische ISSN: 1573-3610
DOI
https://doi.org/10.1007/s10900-020-00920-x

Weitere Artikel der Ausgabe 6/2020

Journal of Community Health 6/2020 Zur Ausgabe