J Korean Med Sci.  2025 Mar;40(11):e38. 10.3346/jkms.2025.40.e38.

Incidence and Temporal Dynamics of Combined Infections in SARS-CoV-2-Infected Patients With Risk Factors for Severe Complications

Affiliations
  • 1Seoul Veterans Hospital Medical Center, Seoul, Korea
  • 2Division of Infectious Diseases, Department of Internal Medicine, National Medical Center, Seoul, Korea
  • 3Department of Internal Medicine, Seoul National University College of Medicine and Boramae Medical Center, Seoul, Korea
  • 4Division of Infectious Diseases, Seoul Medical Center, Seoul, Korea
  • 5National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea

Abstract

Background
Coronavirus disease 2019 (COVID-19) is a newly emerged infectious disease that needs further clinical investigation. Characterizing the temporal pattern of combined infections in patients with COVID-19 may help clinicians understand the clinical nature of this disease and provide valuable diagnostic and therapeutic guidelines.
Methods
We retrospectively analyzed COVID-19 patients isolated in four study hospitals in Korea for one year period from May 2021 to April 2022 when the delta and omicron variants were dominant. The temporal characteristics of combined infections based on specific diagnostic tests were analyzed.
Results
A total of 16,967 COVID-19 patients were screened, 2,432 (14.3%) of whom underwent diagnostic microbiologic tests according to the clinical decision-making, 195 of whom had positive test results, and 0.55% (94/16,967) of whom were ultimately considered to have clinically meaningful combined infections. The median duration for the diagnosis of combined infections was 15 (interquartile range [IQR], 5–25) days after admission. The proportion of community-acquired coinfections (≤ 2 days after admission) was 11.7% (11/94), which included bacteremia (10/94, 10.63%) and tuberculosis (1/94, 1.06%). Combined infections after 2 days of admission were diagnosed at median 16 (IQR, 9–26) days, and included bacteremia (72.3%), fungemia (19.3%), cytomegalovirus (CMV) diseases (8.4%), Pneumocystis jerovecii pneumonia (PJP, 8.4%) and invasive pulmonary aspergillosis (IPA, 4.8%).
Conclusion
Among COVID-19 patients with risk factors for severe complications, 0.55% had laboratory-confirmed combined infections, which included community and nosocomial pathogens in addition to unusual pathogens such as CMV disease, PJP and IPA.

Keyword

COVID-19; Coinfection; Korea; Bacteremia; Opportunistic Infections

Figure

  • Fig. 1 Flow diagram of the patient selection.COVID-19 = coronavirus disease 2019.

  • Fig. 2 Timelines of the diagnosis of combined infections in coronavirus disease 2019 patients after hospitalization. ‘*’ denotes an outlier value, and ‘o’ represents an extreme value. The number above the vertical line within the box indicates the median value.GPC = gram-positive cocci, GNB = gram-negative bacilli, CMV = cytomegalovirus, PJP = Pneumocystis jirovecii pneumonia.


Reference

1. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020; 382(18):1708–1720. PMID: 32109013.
2. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72,314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020; 323(13):1239–1242. PMID: 32091533.
3. Gao YD, Ding M, Dong X, Zhang JJ, Kursat Azkur A, Azkur D, et al. Risk factors for severe and critically ill COVID-19 patients: a review. Allergy. 2021; 76(2):428–455. PMID: 33185910.
4. Abdoli A, Falahi S, Kenarkoohi A. COVID-19-associated opportunistic infections: a snapshot on the current reports. Clin Exp Med. 2022; 22(3):327–346. PMID: 34424451.
5. Silva DL, Lima CM, Magalhães VCR, Baltazar LM, Peres NTA, Caligiorne RB, et al. Fungal and bacterial coinfections increase mortality of severely ill COVID-19 patients. J Hosp Infect. 2021; 113:145–154. PMID: 33852950.
6. Clancy CJ, Nguyen MH. Coronavirus disease 2019, superinfections, and antimicrobial development: what can we expect? Clin Infect Dis. 2020; 71(10):2736–2743. PMID: 32361747.
7. Ripa M, Galli L, Poli A, Oltolini C, Spagnuolo V, Mastrangelo A, et al. Secondary infections in patients hospitalized with COVID-19: incidence and predictive factors. Clin Microbiol Infect. 2021; 27(3):451–457. PMID: 33223114.
8. Lai CC, Wang CY, Hsueh PR. Co-infections among patients with COVID-19: the need for combination therapy with non-anti-SARS-CoV-2 agents? J Microbiol Immunol Infect. 2020; 53(4):505–512. PMID: 32482366.
9. Hamam J, Navellou JC, Bellanger AP, Bretagne S, Winiszewski H, Scherer E, et al. New clinical algorithm including fungal biomarkers to better diagnose probable invasive pulmonary aspergillosis in ICU. Ann Intensive Care. 2021; 11(1):41. PMID: 33683480.
10. Nakagawara K, Kamata H, Chubachi S, Namkoong H, Tanaka H, Lee H, et al. Diagnostic significance of secondary bacteremia in patients with COVID-19. J Infect Chemother. 2023; 29(4):422–426. PMID: 36682606.
11. Sepulveda J, Westblade LF, Whittier S, Satlin MJ, Greendyke WG, Aaron JG, et al. Bacteremia and blood culture utilization during COVID-19 surge in New York City. J Clin Microbiol. 2020; 58(8):e00875-20. PMID: 32404482.
12. Nori P, Cowman K, Chen V, Bartash R, Szymczak W, Madaline T, et al. Bacterial and fungal coinfections in COVID-19 patients hospitalized during the New York City pandemic surge. Infect Control Hosp Epidemiol. 2021; 42(1):84–88. PMID: 32703320.
13. Kim WB, Cho KH, Lee SW, Yang HJ, Yun JH, Lee KW, et al. Recent antimicrobial susceptibilities for uropathogenic Escherichia coli in patients with community acquired urinary tract infections: a multicenter study. Urogenit Tract Infect. 2017; 12(1):28–34.
14. Colodner R, Rock W, Chazan B, Keller N, Guy N, Sakran W, et al. Risk factors for the development of extended-spectrum beta-lactamase-producing bacteria in nonhospitalized patients. Eur J Clin Microbiol Infect Dis. 2004; 23(3):163–167. PMID: 14986159.
15. Kubin CJ, McConville TH, Dietz D, Zucker J, May M, Nelson B, et al. Characterization of bacterial and fungal infections in hospitalized patients with coronavirus disease 2019 and factors associated with health care-associated infections. Open Forum Infect Dis. 2021; 8(6):ofab201. PMID: 34099978.
16. Witt LS, Howard-Anderson JR, Jacob JT, Gottlieb LB. The impact of COVID-19 on multidrug-resistant organisms causing healthcare-associated infections: a narrative review. JAC Antimicrob Resist. 2023; 5(1):dlac130. PMID: 36601548.
17. Prigitano A, Blasi E, Calabrò M, Cavanna C, Cornetta M, Farina C, et al. Yeast bloodstream infections in the COVID-19 patient: a multicenter Italian study (FiCoV Study). J Fungi (Basel). 2023; 9(2):277. PMID: 36836391.
18. Colaneri M, Giusti EM, Genovese C, Galli L, Lombardi A, Gori A. Mortality of patients with candidemia and COVID-19: a systematic review with meta-analysis. Open Forum Infect Dis. 2023; 10(7):ofad358. PMID: 37520417.
19. Centers for Disease Control and Prevention (US). Underlying medical conditions associated with higher risk for severe COVID-19: information for healthcare professionals. Updated 2023. Accessed May 26, 2024. https://archive.cdc.gov/www_cdc_gov/coronavirus/2019-ncov/hcp/clinical-care/underlyingconditions.html .
20. Tadolini M, Codecasa LR, García-García JM, Blanc FX, Borisov S, Alffenaar JW, et al. Active tuberculosis, sequelae and COVID-19 co-infection: first cohort of 49 cases. Eur Respir J. 2020; 56(1):2001398. PMID: 32457198.
21. Motta I, Centis R, D’Ambrosio L, García-García JM, Goletti D, Gualano G, et al. Tuberculosis, COVID-19 and migrants: preliminary analysis of deaths occurring in 69 patients from two cohorts. Pulmonology. 2020; 26(4):233–240. PMID: 32411943.
22. TB/COVID-19 Global Study Group. Tuberculosis and COVID-19 co-infection: description of the global cohort. Eur Respir J. 2022; 59(3):2102538. PMID: 34764184.
23. Sarkar S, Khanna P, Singh AK. Impact of COVID-19 in patients with concurrent co-infections: a systematic review and meta-analyses. J Med Virol. 2021; 93(4):2385–2395. PMID: 33331656.
24. Visca D, Ong CW, Tiberi S, Centis R, D’Ambrosio L, Chen B, et al. Tuberculosis and COVID-19 interaction: a review of biological, clinical and public health effects. Pulmonology. 2021; 27(2):151–165. PMID: 33547029.
25. Kim JY, Ragusa M, Tortosa F, Torres A, Gresh L, Méndez-Rico JA, et al. Viral reactivations and co-infections in COVID-19 patients: a systematic review. BMC Infect Dis. 2023; 23(1):259. PMID: 37101275.
26. Yamamoto Y, Shiroyama T, Hirata H, Kuge T, Matsumoto K, Yoneda M, et al. Prolonged corticosteroid therapy and cytomegalovirus infection in patients with severe COVID-19. J Med Virol. 2022; 94(3):1067–1073. PMID: 34708883.
27. Winthrop KL, Harigai M, Genovese MC, Lindsey S, Takeuchi T, Fleischmann R, et al. Infections in baricitinib clinical trials for patients with active rheumatoid arthritis. Ann Rheum Dis. 2020; 79(10):1290–1297. PMID: 32788396.
28. Torres HA, Chemaly RF, Storey R, Aguilera EA, Nogueras GM, Safdar A, et al. Influence of type of cancer and hematopoietic stem cell transplantation on clinical presentation of Pneumocystis jiroveci pneumonia in cancer patients. Eur J Clin Microbiol Infect Dis. 2006; 25(6):382–388. PMID: 16767486.
29. Hughes WT, Feldman S, Aur RJ, Verzosa MS, Hustu HO, Simone JV. Intensity of immunosuppressive therapy and the incidence of Pneumocystis carinii pneumonitis. Cancer. 1975; 36(6):2004–2009. PMID: 1081905.
30. Chong WH, Saha BK, Chopra A. Narrative review of the relationship between COVID-19 and PJP: does it represent coinfection or colonization? Infection. 2021; 49(6):1079–1090. PMID: 34059997.
31. Kim MJ, Kim MK, Kang CK, Jun KI, Bang JH, Park SW, et al. A case of acute cerebral aspergillosis complicating influenza A/H1N1pdm 2009. Infect Chemother. 2013; 45(2):225–229. PMID: 24265971.
32. Bae S, Hwang HJ, Kim MY, Kim MJ, Chong YP, Lee SO, et al. Invasive pulmonary aspergillosis in patients with severe fever with thrombocytopenia syndrome. Clin Infect Dis. 2020; 70(7):1491–1494. PMID: 31342053.
33. Kariyawasam RM, Dingle TC, Kula BE, Vandermeer B, Sligl WI, Schwartz IS. Defining COVID-19-associated pulmonary aspergillosis: systematic review and meta-analysis. Clin Microbiol Infect. 2022; 28(7):920–927. PMID: 35150878.
34. Ryu BY, Shin EJ, Kim NY, Kim DH, Lee HJ, Kim AR, et al. Severity of COVID-19 associated with SARS-CoV-2 variants circulating in the republic of Korea. Public Health Wkly Rep. 2022; 15(47):2873–2895.
35. Huang SF, Wu AYJ, Lee SSJ, Huang YS, Lee CY, Yang TL, et al. COVID-19 associated mold infections: review of COVID-19 associated pulmonary aspergillosis and mucormycosis. J Microbiol Immunol Infect. 2023; 56(3):442–454. PMID: 36586744.
36. Segrelles-Calvo G, Araújo GR, Llopis-Pastor E, Carrillo J, Hernández-Hernández M, Rey L, et al. Prevalence of opportunistic invasive aspergillosis in COVID-19 patients with severe pneumonia. Mycoses. 2021; 64(2):144–151. PMID: 33217071.
37. Roh KH, Kim YK, Kim SW, Kang ER, Yang YJ, Jung SK, et al. Coinfections with respiratory pathogens among COVID-19 patients in Korea. Can J Infect Dis Med Microbiol. 2021; 2021:6651045. PMID: 34055116.
38. Son HJ, Kim T, Lee E, Park SY, Yu S, Hong HL, et al. Risk factors for isolation of multi-drug resistant organisms in coronavirus disease 2019 pneumonia: a multicenter study. Am J Infect Control. 2021; 49(10):1256–1261. PMID: 34146624.
39. Kim JH, Kim M, Lim S, Park SY, Jegal Y, Lee T, et al. A fatal case report of invasive pulmonary aspergillosis and mucormycosis coinfection in an immunocompetent patient with coronavirus disease 2019 in Korea. Acute Crit Care. 2023; 38(3):382–388. PMID: 35791656.
40. Jeong S, Lee N, Park Y, Kim J, Jeon K, Park MJ, et al. Prevalence and clinical impact of coinfection in patients with coronavirus disease 2019 in Korea. Viruses. 2022; 14(2):446. PMID: 35216039.
41. Lee J, Chang E, Jung J, Kim MJ, Chong YP, Kim SH, et al. Bacterial co-infection and empirical antibacterial therapy in patients with COVID-19. J Korean Med Sci. 2023; 38(4):e37. PMID: 36718563.
42. Na YS, Baek AR, Baek MS, Kim WY, Kim JH, Lee BY, et al. Clinical outcomes of and risk factors for secondary infection in patients with severe COVID-19: a multicenter cohort study in South Korea. Korean J Intern Med. 2023; 38(1):68–79. PMID: 36420564.
Full Text Links
  • JKMS
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2025 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr