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Erschienen in: Infection 6/2020

19.08.2020 | COVID-19 | Review Zur Zeit gratis

The epidemiological burden and overall distribution of chronic comorbidities in coronavirus disease-2019 among 202,005 infected patients: evidence from a systematic review and meta-analysis

verfasst von: Rashidul Alam Mahumud, Joseph K. Kamara, Andre M. N. Renzaho

Erschienen in: Infection | Ausgabe 6/2020

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Abstract

Purpose

The main purpose of this study was to examine the overall distribution of chronic comorbidities in coronavirus disease-19 (COVID-19) infected populations and the risk of the underlying burden of disease in terms of the case fatality ratio (CFR).

Methods

We carried out a systematic review and meta-analysis of studies on COVID-19 patients published before 10th April 2020. Twenty-three studies containing data for 202,005 COVID-19 patients were identified and included in our study. Pooled effects of chronic comorbid conditions and CFR with 95% confidence intervals were calculated using random-effects models.

Results

A median age of COVID-19 patients was 56.4 years and 55% of the patients were male. The most prevalent chronic comorbid conditions were: any type of chronic comorbidity (37%; 95% CI 32–41%), hypertension (22%; 95% CI 17–27%), diabetes (14%; 95% CI 12–17%), respiratory diseases (5%; 95% CI 3–6%), cardiovascular diseases (13%; 95% CI 10–16%) and other chronic diseases (e.g., cancer) (8%; 95% CI 6–10%). Furthermore, 37% of COVID-19 patients had at least one chronic comorbid condition, 28% of patients had two conditions, and 19% of patients had three or more chronic conditions. The overall pooled CFR was 7% (95% CI 6–7%). The crude CFRs increased significantly with increasing number of chronic comorbid conditions, ranging from 6% for at least one chronic comorbid condition to 13% for 2 or 3 chronic comorbid conditions, 12% for 4 chronic comorbid conditions, 14% for 5 chronic comorbid conditions, and 21% for 6 or more chronic comorbid conditions. Furthermore, the overall CFRs also significantly increased with higher levels of reported clinical symptoms, ranging from 14% for at least four symptoms, to 15% for 5 or 6 symptoms, and 21% for 7 or more symptoms.

Conclusions

The chronic comorbid conditions were identified as dominating risk factors, which should be considered in an emergency disease management and treatment choices. There is urgent need to further enhance systematic and real-time sharing of epidemiologic data, clinical results, and experience to inform the global response to COVID-19.
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Literatur
3.
Zurück zum Zitat World Health Organization (WHO). Report of the WHO-China joint mission on coronavirus disease 2019 (COVID-19). 2020. World Health Organization (WHO). Report of the WHO-China joint mission on coronavirus disease 2019 (COVID-19). 2020.
4.
Zurück zum Zitat European Centre for Disease Prevention and Control. Novel coronavirus disease 2019 (COVID-19) pandemic: increased transmission in the EU/EEA and the UK—sixth update—12 March 2020. Stockholm: ECDC; 2020. European Centre for Disease Prevention and Control. Novel coronavirus disease 2019 (COVID-19) pandemic: increased transmission in the EU/EEA and the UK—sixth update—12 March 2020. Stockholm: ECDC; 2020.
5.
Zurück zum Zitat Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323:1061–9.CrossRefPubMedPubMedCentral Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323:1061–9.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506.CrossRefPubMedPubMedCentral Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat CDC. Preliminary estimates of the prevalence of selected underlying health conditions among patents with coronavirus disease 2019- United States, February 12-March 28, 2020. Morb Mortal Wkly Rep. 2020;69:382–6.CrossRef CDC. Preliminary estimates of the prevalence of selected underlying health conditions among patents with coronavirus disease 2019- United States, February 12-March 28, 2020. Morb Mortal Wkly Rep. 2020;69:382–6.CrossRef
11.
Zurück zum Zitat Hu S, Gao R, Liu L, Zhu M, Wang W. Summary of the report on cardiovascular diseases in China. Chin Circ J. 2020;34:209. Hu S, Gao R, Liu L, Zhu M, Wang W. Summary of the report on cardiovascular diseases in China. Chin Circ J. 2020;34:209.
13.
Zurück zum Zitat Kulcsar KA, Coleman CM, Beck SE, Frieman MB. Comorbid diabetes results in immune dysregulation and enhanced disease severity following MERS-CoV infection. JCI Insight. 2019;4:1–18.CrossRef Kulcsar KA, Coleman CM, Beck SE, Frieman MB. Comorbid diabetes results in immune dysregulation and enhanced disease severity following MERS-CoV infection. JCI Insight. 2019;4:1–18.CrossRef
16.
Zurück zum Zitat Guan W, Ni Z, Hu Y. China medical treatment expert group for COVID-19. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708–1720. Guan W, Ni Z, Hu Y. China medical treatment expert group for COVID-19. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708–1720.
17.
Zurück zum Zitat Stairmand J, Signal L, Sarfati D, Jackson C, Batten L, Holdaway M, et al. Consideration of comorbidity in treatment decision making in multidisciplinary cancer team meetings: a systematic review. Ann Oncol. 2015;26:1325–32.CrossRefPubMed Stairmand J, Signal L, Sarfati D, Jackson C, Batten L, Holdaway M, et al. Consideration of comorbidity in treatment decision making in multidisciplinary cancer team meetings: a systematic review. Ann Oncol. 2015;26:1325–32.CrossRefPubMed
18.
Zurück zum Zitat Sarfati D, Gurney J, Lim BT, Bagheri N, Simpson A, Koea J, et al. Identifying important comorbidity among cancer populations using administrative data: prevalence and impact on survival. Asia Pac J Clin Oncol. 2016;12:e47–56.CrossRefPubMed Sarfati D, Gurney J, Lim BT, Bagheri N, Simpson A, Koea J, et al. Identifying important comorbidity among cancer populations using administrative data: prevalence and impact on survival. Asia Pac J Clin Oncol. 2016;12:e47–56.CrossRefPubMed
19.
Zurück zum Zitat Carstensen J, Andersson D, Andre M, Engstrom S, Magnusson H, Borgquist LA. How does comorbidity influence healthcare costs? A population-based cross-sectional study of depression, back pain and osteoarthritis. BMJ Open. 2012;2:e000809.CrossRefPubMedPubMedCentral Carstensen J, Andersson D, Andre M, Engstrom S, Magnusson H, Borgquist LA. How does comorbidity influence healthcare costs? A population-based cross-sectional study of depression, back pain and osteoarthritis. BMJ Open. 2012;2:e000809.CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Sogaard M, Thomsen RW, Bossen KS, Sørensen HT, Nørgaard M. The impact of comorbidity on cancer survival: a review. Clin Epidemiol. 2013;5(Suppl 1):3.CrossRefPubMedPubMedCentral Sogaard M, Thomsen RW, Bossen KS, Sørensen HT, Nørgaard M. The impact of comorbidity on cancer survival: a review. Clin Epidemiol. 2013;5(Suppl 1):3.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Rodriguez-Morales AJ, Cardona-Ospina JA, Gutiérrez-Ocampo E, Villamizar-Peña R, Holguin-Rivera Y, Escalera-Antezana JP, et al. Clinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysis. Travel Med Infect Dis. 2020;34:1–13.CrossRef Rodriguez-Morales AJ, Cardona-Ospina JA, Gutiérrez-Ocampo E, Villamizar-Peña R, Holguin-Rivera Y, Escalera-Antezana JP, et al. Clinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysis. Travel Med Infect Dis. 2020;34:1–13.CrossRef
22.
Zurück zum Zitat Yang J, Zheng Y, Gou X, Pu K, Chen Z, Guo Q, et al. Prevalence of comorbidities and its effects in coronavirus disease 2019 patients: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–5.CrossRefPubMedPubMedCentral Yang J, Zheng Y, Gou X, Pu K, Chen Z, Guo Q, et al. Prevalence of comorbidities and its effects in coronavirus disease 2019 patients: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–5.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Cheung KS, Hung IFN, Chan PPY, Lung KC, Tso E, Liu R, et al. Gastrointestinal manifestations of SARS-CoV-2 infection and virus load in fecal samples from a Hong Kong Cohort: systematic review and meta-analysis. Gastroenterology. 2020;159:81–95.CrossRefPubMed Cheung KS, Hung IFN, Chan PPY, Lung KC, Tso E, Liu R, et al. Gastrointestinal manifestations of SARS-CoV-2 infection and virus load in fecal samples from a Hong Kong Cohort: systematic review and meta-analysis. Gastroenterology. 2020;159:81–95.CrossRefPubMed
24.
Zurück zum Zitat Alotaibi A, Perry L, Gholizadeh L, Al-Ganmi A. Incidence and prevalence rates of diabetes mellitus in Saudi Arabia: an overview. J Epidemiol Glob Health. 2017;7:211–8.CrossRefPubMedPubMedCentral Alotaibi A, Perry L, Gholizadeh L, Al-Ganmi A. Incidence and prevalence rates of diabetes mellitus in Saudi Arabia: an overview. J Epidemiol Glob Health. 2017;7:211–8.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat De Toledo IP, Stefani FM, Porporatti AL, Mezzomo LA, Peres MA, Flores-Mir C, et al. Prevalence of otologic signs and symptoms in adult patients with temporomandibular disorders: a systematic review and meta-analysis. Clin Oral Investig. 2017;21:597–605.CrossRef De Toledo IP, Stefani FM, Porporatti AL, Mezzomo LA, Peres MA, Flores-Mir C, et al. Prevalence of otologic signs and symptoms in adult patients with temporomandibular disorders: a systematic review and meta-analysis. Clin Oral Investig. 2017;21:597–605.CrossRef
26.
Zurück zum Zitat Munn Z, Moola S, Lisy K, Riitano D, Tufanaru C. Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data. Int J Evid Based Healthc. 2015;13:147–53.CrossRefPubMed Munn Z, Moola S, Lisy K, Riitano D, Tufanaru C. Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data. Int J Evid Based Healthc. 2015;13:147–53.CrossRefPubMed
28.
Zurück zum Zitat Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–58.CrossRefPubMed Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–58.CrossRefPubMed
29.
Zurück zum Zitat Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50:1088–101.CrossRefPubMed Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50:1088–101.CrossRefPubMed
30.
Zurück zum Zitat Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;31:629–634. Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;31:629–634.
31.
Zurück zum Zitat Sharp S. sbe23: meta-analysis regression. Stata Tech Bull. 1998;42:16–22. Sharp S. sbe23: meta-analysis regression. Stata Tech Bull. 1998;42:16–22.
32.
Zurück zum Zitat Knapp G, Hartung J. Improved tests for a random effects meta-regression with a single covariate. Stat Med. 2003;22:2693–710.CrossRefPubMed Knapp G, Hartung J. Improved tests for a random effects meta-regression with a single covariate. Stat Med. 2003;22:2693–710.CrossRefPubMed
33.
Zurück zum Zitat Higgins JPT, Thompson SG. Controlling the risk of spurious findings from meta-regression. Stat Med. 2004;23:1663–82.CrossRefPubMed Higgins JPT, Thompson SG. Controlling the risk of spurious findings from meta-regression. Stat Med. 2004;23:1663–82.CrossRefPubMed
34.
Zurück zum Zitat Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–62.CrossRefPubMedPubMedCentral Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–62.CrossRefPubMedPubMedCentral
38.
Zurück zum Zitat Shi S, Qin M, Shen B, Cai Y, Liu T, Yang F, et al. Association of cardiac injury with mortality in hospitalized patients with COVID-19 in Wuhan, China. JAMA Cardiol. 2020;5:802–810. Shi S, Qin M, Shen B, Cai Y, Liu T, Yang F, et al. Association of cardiac injury with mortality in hospitalized patients with COVID-19 in Wuhan, China. JAMA Cardiol. 2020;5:802–810.
40.
Zurück zum Zitat Yan Y, Yang Y, Wang F, Ren H, Zhang S, Shi X, et al. Clinical characteristics and outcomes of patients with severe covid-19 with diabetes. BMJ Open Diabetes Res Care. 2020;8:1–9.CrossRef Yan Y, Yang Y, Wang F, Ren H, Zhang S, Shi X, et al. Clinical characteristics and outcomes of patients with severe covid-19 with diabetes. BMJ Open Diabetes Res Care. 2020;8:1–9.CrossRef
46.
Zurück zum Zitat Liu K, Fang Y-Y, Deng Y, Liu W, Wang M-F, Ma J-P, et al. Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province. Chin Med J (Engl). 2020;133:1025–1031. Liu K, Fang Y-Y, Deng Y, Liu W, Wang M-F, Ma J-P, et al. Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province. Chin Med J (Engl). 2020;133:1025–1031.
47.
Zurück zum Zitat Wu Z, McGoogan JM. 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. JAMA. 2020;2019:3–6. Wu Z, McGoogan JM. 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. JAMA. 2020;2019:3–6.
48.
Zurück zum Zitat Guo W, Li M, Dong Y, Zhou H, Zhang Z, Tian C, et al. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab Res Rev. 2020:e3319. Guo W, Li M, Dong Y, Zhou H, Zhang Z, Tian C, et al. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab Res Rev. 2020:e3319.
49.
Zurück zum Zitat Wan S, Xiang Y, Fang W, Zheng Y, Li B, Hu Y, et al. Clinical features and treatment of COVID-19 patients in northeast Chongqing. J Med Virol. 2020;92:797–806.CrossRefPubMed Wan S, Xiang Y, Fang W, Zheng Y, Li B, Hu Y, et al. Clinical features and treatment of COVID-19 patients in northeast Chongqing. J Med Virol. 2020;92:797–806.CrossRefPubMed
50.
Zurück zum Zitat Su VYF, Yang Y-H, Yang K-Y, Chou K-T, Su W-J, Chen Y-M, et al. The risk of death in 2019 novel coronavirus disease (COVID-19) in Hubei Province. SSRN eLibrary. 2020:3539655. Su VYF, Yang Y-H, Yang K-Y, Chou K-T, Su W-J, Chen Y-M, et al. The risk of death in 2019 novel coronavirus disease (COVID-19) in Hubei Province. SSRN eLibrary. 2020:3539655.
51.
Zurück zum Zitat Lo IL, Lio CF, Cheong HH, Lei CI, Cheong TH, Zhong X, et al. Evaluation of SARS-CoV-2 RNA shedding in clinical specimens and clinical characteristics of 10 patients with COVID-19 in Macau. Int J Biol Sci. 2020;16:1698–707.CrossRefPubMedPubMedCentral Lo IL, Lio CF, Cheong HH, Lei CI, Cheong TH, Zhong X, et al. Evaluation of SARS-CoV-2 RNA shedding in clinical specimens and clinical characteristics of 10 patients with COVID-19 in Macau. Int J Biol Sci. 2020;16:1698–707.CrossRefPubMedPubMedCentral
53.
Zurück zum Zitat Noorwali ASA, Turkistani AHM, Asiri SI, Trabulsi FA, Alwafi OM, Alzahrani SH, et al. Descriptive epidemiology and characteristics of confirmed cases of Middle East respiratory syndrome coronavirus infection in the Makkah Region of Saudi Arabia, March to June 2014. Ann Saudi Med. 2015;35:203–9.CrossRefPubMedPubMedCentral Noorwali ASA, Turkistani AHM, Asiri SI, Trabulsi FA, Alwafi OM, Alzahrani SH, et al. Descriptive epidemiology and characteristics of confirmed cases of Middle East respiratory syndrome coronavirus infection in the Makkah Region of Saudi Arabia, March to June 2014. Ann Saudi Med. 2015;35:203–9.CrossRefPubMedPubMedCentral
57.
Zurück zum Zitat Alqahtani FY, Aleanizy FS, Ali El Hadi Mohamed R, Alanazi MS, Mohamed N, Alrasheed MM, et al. Prevalence of comorbidities in cases of Middle East respiratory syndrome coronavirus: a retrospective study. Epidemiol Infect. 2019;147:4.CrossRef Alqahtani FY, Aleanizy FS, Ali El Hadi Mohamed R, Alanazi MS, Mohamed N, Alrasheed MM, et al. Prevalence of comorbidities in cases of Middle East respiratory syndrome coronavirus: a retrospective study. Epidemiol Infect. 2019;147:4.CrossRef
58.
Zurück zum Zitat Mallikethi-Reddy S, Jagadeesh K. Mechanisms of acute coronary syndromes. N Engl J Med. 2013;369:882–3.CrossRefPubMed Mallikethi-Reddy S, Jagadeesh K. Mechanisms of acute coronary syndromes. N Engl J Med. 2013;369:882–3.CrossRefPubMed
60.
Zurück zum Zitat Gao R, Cao B, Hu Y, Feng Z, Wang D, Hu W, et al. Human infection with a novel avian-origin influenza A (H7N9) virus. N Engl J Med. 2013;368:1888–97.CrossRefPubMed Gao R, Cao B, Hu Y, Feng Z, Wang D, Hu W, et al. Human infection with a novel avian-origin influenza A (H7N9) virus. N Engl J Med. 2013;368:1888–97.CrossRefPubMed
63.
Zurück zum Zitat Assiri A, Al-Tawfiq JA, Al-Rabeeah AA, Al-Rabiah FA, Al-Hajjar S, Al-Barrak A, et al. Epidemiological, demographic, and clinical characteristics of 47 cases of Middle East respiratory syndrome coronavirus disease from Saudi Arabia: a descriptive study. Lancet Infect Dis. 2013;13:752–61.CrossRefPubMedPubMedCentral Assiri A, Al-Tawfiq JA, Al-Rabeeah AA, Al-Rabiah FA, Al-Hajjar S, Al-Barrak A, et al. Epidemiological, demographic, and clinical characteristics of 47 cases of Middle East respiratory syndrome coronavirus disease from Saudi Arabia: a descriptive study. Lancet Infect Dis. 2013;13:752–61.CrossRefPubMedPubMedCentral
67.
Zurück zum Zitat Assiri A, McGeer A, Perl TM, Price CS, Al Rabeeah AA, Cummings DAT, et al. Hospital outbreak of middle east respiratory syndrome coronavirus. N Engl J Med. 2013;369:407–16.CrossRefPubMedPubMedCentral Assiri A, McGeer A, Perl TM, Price CS, Al Rabeeah AA, Cummings DAT, et al. Hospital outbreak of middle east respiratory syndrome coronavirus. N Engl J Med. 2013;369:407–16.CrossRefPubMedPubMedCentral
Metadaten
Titel
The epidemiological burden and overall distribution of chronic comorbidities in coronavirus disease-2019 among 202,005 infected patients: evidence from a systematic review and meta-analysis
verfasst von
Rashidul Alam Mahumud
Joseph K. Kamara
Andre M. N. Renzaho
Publikationsdatum
19.08.2020
Verlag
Springer Berlin Heidelberg
Schlagwort
COVID-19
Erschienen in
Infection / Ausgabe 6/2020
Print ISSN: 0300-8126
Elektronische ISSN: 1439-0973
DOI
https://doi.org/10.1007/s15010-020-01502-8

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