The DOI matches its Crossref record; 4 of the 5 references it cites were found in a registry or an index.
Candidemia in Coronavirus Disease 2019 (COVID-19) Patients: Incidence and Characteristics in a Prospective Cohort Compared With Historical Non–COVID-19 Controls
Open accessAbstract
To the Editor—We read with interest the article by White and colleagues, who provide insights on invasive fungal infections in coronavirus disease 2019 (COVID-19) patients [1]. The authors describe a significant proportion of invasive yeast infections, especially candidemia. To date, it is not clear if the incidence of candidemia in COVID-19 patients is higher than expected. Moreover, no comparison of clinical presentation and outcomes between patients with and without COVID-19 is available. To investigate these points, we compared the incidence and characteristics of candidemia in a prospective cohort of patients with severe acute respiratory syndrome coronavirus 2 infection to those of a historical cohort of non–COVID-19 controls. We included patients with candidemia (defined as 1 or more positive blood cultures for Candida spp.) hospitalized at the San Raffaele Hospital (Milan, Italy) with COVID-19 from 15 February 2020 to 30 June 2020 and patients hospitalized for any reason from 1 January 2017 to 31 December 2017 (historical non–COVID-19 cohort). An ethical committee approved data collection for both cohort studies. The Pearson χ 2 test and Mann-Whitney U test were applied, as appropriate. The incidence rate was calculated as events per 10.000 person-days of follow-up (PDFU) and compared using Poisson regression. Statistical analysis was performed with SPSS-v.20 (IBM, Chicago, IL). We identified 21 and 51 patients in the COVID-19 and historical cohorts, respectively (Table 1). The incidence rate of candidemia was significantly higher in patients with COVID-19 (10.97 [6.79–16.76] vs 1.48 [1.10–1.95] cases per 10.000 PDFU; P < .001). Characteristics of the 2 Cohorts of Patients With Candidemia Values are reported as median, interquartile range, or frequency (%). P-values <0.05 are presented in bold. Abbreviation: COVID-19, coronavirus disease 2019. aLess than 5 years of negative follow-up since the last potentially curative intervention. bAdministration of chemotherapies during the 90 days before candidemia. cAdministration of antimicrobials during the 14 days before candidemia. dAdministration of immunomodulating drugs (anakinra, tocilizumab, reparixin, mavrilimumab, sarilumab) and/or immunosuppressive drugs (cyclophosphamide, tacrolimus, mycophenolate) in the last 30 days before candidemia. eAdministration of 0.5–1 mg/kg of prednisone equivalent in the last 30 days before candidemia. fPositive Candida spp. culture from nonsterile site and/or clinical signs and symptoms compatible with skin or mucous membrane fungal infection. gAny major surgical procedure in the last 30 days. hTwo negative sets of blood cultures collected after at least 48 hours from initiation of an appropriate therapy. Characteristics of the 2 Cohorts of Patients With Candidemia Values are reported as median, interquartile range, or frequency (%). P-values <0.05 are presented in bold. Abbreviation: COVID-19, coronavirus disease 2019. aLess than 5 years of negative follow-up since the last potentially curative intervention. bAdministration of chemotherapies during the 90 days before candidemia. cAdministration of antimicrobials during the 14 days before candidemia. dAdministration of immunomodulating drugs (anakinra, tocilizumab, reparixin, mavrilimumab, sarilumab) and/or immunosuppressive drugs (cyclophosphamide, tacrolimus, mycophenolate) in the last 30 days before candidemia. eAdministration of 0.5–1 mg/kg of prednisone equivalent in the last 30 days before candidemia. fPositive Candida spp. culture from nonsterile site and/or clinical signs and symptoms compatible with skin or mucous membrane fungal infection. gAny major surgical procedure in the last 30 days. hTwo negative sets of blood cultures collected after at least 48 hours from initiation of an appropriate therapy. Candida albicans was the most frequently involved pathogen, even though non-albicans Candida spp. were detected in a considerable proportion of patients (33.3% vs 47.1%; P = .285). Infective endocarditis and endophthalmitis were rarely encountered. Candidemia clearance was obtained in most patients (71.4% vs 72.5%; P = .923), but overall mortality was high (57.1% vs 58.8%; P = .895). COVID-19 patients had a lower median Charlson comorbidity index, and no differences were detected in prior use of antibiotics, antifungal agents, parenteral nutrition, or other conditions potentially predisposing to candidemia, except for a higher proportion of patients with solid malignancies and recent chemotherapies in the historical cohort. COVID-19 patients were more likely to be in the intensive care unit (ICU; 66.7% vs 29.4%; P = .003) and to be treated with immunosuppressive agents (61.1% vs 32.7%; P = .035); the proportion of patients on glucocorticoids was not different (44.4% vs 30.6%; P = .291). When calculated for ICU patients only, the incidence rate of candidemia was still markedly higher in COVID-19 patients (81.68 [44.46–137.10] vs 14.46 [8.09–23.84] cases per 10.000
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“While an overall decrease in candidemia incidence was observed over the past decade, the incidence unfortunately increased in the setting of the COVID-19 global pandemic.36–38”
From Epidemiology of Invasive Candidiasis (2024) · cites this paper as [38]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“In fact, some studies found higher candidemia incidence among patients with COVID-19 infections compared to those without.36–40”
From Epidemiology of Invasive Candidiasis (2024) · cites this paper as [38]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Systems biological assessment of immunity to mild versus severe COVID-19 infection in humans
Arunachalam, P. S., Wimmers, F., Mok, C. K. P., Perera, R. A. P. M., Scott, M., Hagan, T., Sigal, N., Feng, Y., Bristow, L., Tak-Yin Tsang, O., et al. (2020) · Science · doi:10.1126/science.abc6261 · Cited by 1,186
White, P. L., Dhillon, R., Cordey, A., Hughes, H. C., Faggian, F., Soni, S., Pandey, M. K., Whitaker, H., May, A., Morgan, M. P. G., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1298 · Cited by 466
Zuo, T., Zhan, H., Zhang, F., Liu, Q., Tso, E. Y. K., Lui, G. C.-Y., Chen, N., Li, A., Lu, W., Chan, F. K. L., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.06.048 · Cited by 353
A National Strategy to Diagnose COVID-19 Associated Invasive Fungal Disease in the ICUPreprint
White, L. P., Dhillon, R., Cordey, A., Hughes, H. C., Faggian, F., Soni, S., Pandey, M. K., Whitaker, H., May, A., Morgan, M. P. G., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3644400 · Cited by 138
Cited by
Sorted by citations
Items 101–112 of 112
Shahzaib, A., Raza, T., & Areej, A. (2023) · Hosts and Viruses · doi:10.17582/journal.hv/2023/10.1.13 · Cited by 1
Popovic, S., & Begović-Kuprešanin, V. (2023) · Srpski arhiv za celokupno lekarstvo · doi:10.2298/sarh230804087p
Investigating Spine and Spinal Cord Complications of COVID-19
Mousavi, S. R., Farrokhi, M. R., Kalani, N., Mosalanezhad, T., Karimi, F., Eilami, O., & Kazeminezhad, A. (2023) · Iranian Journal of Neurosurgery · doi:10.32598/irjns.9.21
Candidemia associated with COVID-19: risk factors and predisposition in critical patients
Coutinho, N. M. D. S. R., Machado, G. D. R. M., do Amaral, T. F., Teixeira, M. L., & Fuentefría, A. M. (2023) · Clinical & Biomedical Research · doi:10.22491/2357-9730.132544
Mirabedini, Z., Niyyati, M., Rahimi, H. M., Jevinani, S. S., Fatemi, M., Tanhaei, M., Mohebbi, S. R., Yadegar, A., Abolghasemi, S., Arab‐Mazar, Z., et al. (2024) · International Journal of Environmental Health Research · doi:10.1080/09603123.2024.2409830
Fungal positivity seen in tertiary care hospital during COVID-19 pandemic
Kaur, R., Rawat, D., William, A., Singh, P. K., Kandir, N. S. S., & Sharma, A. (2025) · Access Microbiology · doi:10.1099/acmi.0.000640.v5
Maeda, Y., Motooka, D., Kawasaki, T., Oki, H., Noda, Y., Adachi, Y., Niitsu, T., Okamoto, S., Tanaka, K., Fukushima, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20156776
Maeda, Y., Motooka, D., Kawasaki, T., Oki, H., Noda, Y., Adachi, Y., Niitsu, T., Okamoto, S., Tanaka, K., Fukushima, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20156773
Temporal changes in mortality and risk factors of candidemia in intensive care unit patients
Kizilcay, B., Çizmeci, Z., Hergünsel, G. O., Cukurova, Z., Yaşar, K. K., & Yeşilbağ, Z. (2026) · BMC Infectious Diseases · doi:10.1186/s12879-026-13759-9
Pinheiro, D. O. B. P., Castiñeiras, A. C., Guimarães, L. F., Barreiros, G., Rocha, H. L. R., Nucci, M., & Nouér, S. A. (2026) · Medical Mycology · doi:10.1093/mmy/myag079
Changes in age composition and epidemiology of candidaemia, Iceland, 2012 to 2023
Ásmundsdóttir, L. R., Bergthorsdottir, J. G., Steinarsson, A. O., & Gottfreðsson, M. (2026) · Eurosurveillance · doi:10.2807/1560-7917.es.2026.31.40.2600120
Metadata
- Authors
- Mastrangelo, A., Germinario, B. N., Ferrante, M., Frangi, C., Li Voti, R., Muccini, C., Ripa, M., COVID-BioB Study Group, Canetti, D., Castiglioni, B., Oltolini, C., Tassan Din, C., Conte, C., Monti, G., Dagna, L., Clementi, M., Rovere Querini, P., Ciceri, F., Tresoldi, M., Cinque, P., Lazzarin, A., Zangrillo, A., Secchi, A., Bosi, E., Scarpellini, P., & Castagna, A.
- Affiliations
- School of Infectious and Tropical Diseases, Vita-Salute San Raffaele University, Milan, Italy
- Vita-Salute San Raffaele University (IT)
- School of Emergency Medicine, Vita-Salute San Raffaele University, Milan, Italy
- Corresponding author
- Ripa, Marco
- ORCID
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-10-30
- Volume
- 73
- Issue
- 9
- Pages
- e2838-e2839
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- PMC
- PMC7665423
- OpenAlex
- W3095711772
- Cited by
- 112
- References
- 5
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 16 · 2023: 22 · 2022: 37 · 2021: 24 · 2020: 2
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Clinical Infectious Diseases (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Oncology › COVID-19 and healthcare impacts
- Keywords
- candidemia, COVID-19 pandemic, SARS-CoV-2, invasive fungal infections, candidemia incidence, risk factors, antifungal prophylaxis, antifungal therapy, hospitalized patients, SARS-CoV-2 serology, SARS-CoV-2 viral load
- MeSH terms
- COVID-19, SARS-CoV-2, Humans, Prospective Studies, Incidence, Candidemia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review