TY - JOUR
T1 - Description of Cryptococcosis Following SARS-CoV-2 Infection
T2 - A Disease Survey Through the Mycosis Study Group Education and Research Consortium (MSG-19)
AU - the Mycoses Study Group Education and Research Consortium (MSGERC) Cryptococcal Registry Cohort
AU - Walker, Jeremey
AU - McCarty, Todd
AU - McGwin, Gerald
AU - Ordaya, Eloy E.
AU - Vergidis, Paschalis
AU - Ostrosky-Zeichner, Luis
AU - Mammadova, Mehriban
AU - Spec, Andrej
AU - Rauseo, Adriana M.
AU - Perfect, John
AU - Messina, Julia
AU - Vilchez, Gabriel
AU - McMullen, Rachel
AU - Jones, Carolynn T.
AU - Pappas, Peter G.
AU - Yetmar, Zachary
AU - Masayuki, Nigo
AU - Steinbrink, Julie
AU - Cahuayme-Zuniga, Lizbeth
AU - Vootukuri, Shobha
AU - Onyeaghala, Chizaram
AU - Ta, Tuan V.
AU - Kale, Pratibha
AU - Franklin, Alexander
AU - Gandhi, Ravi
AU - Smith, Jeannina
AU - Schultz, Lucas
AU - Ostrander, Darin
AU - Miceli, Marisa
AU - Warner, Nathaniel
AU - Thomas, Lora
AU - Obeid, Karam
AU - La Hoz, Ricardo M.
AU - Sochanska, Ada
AU - Klausing, Benjamin
AU - El-Herte, Rima
AU - Tirmizi, Amir
AU - Traver, Edward C.
AU - Thompson, George R.
AU - Gorsline, Chelsea
AU - Sivasubramanian, Geetha
AU - Osborn, Rebecca
AU - Mounajjed, Mark
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2024/2/15
Y1 - 2024/2/15
N2 - Background. Invasive fungal infections have been described throughout the COVID-19 pandemic. Cryptococcal disease after infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been reported in several isolated case reports and 1 larger case series. We sought to describe cryptococcal infections following SARS-CoV-2 through establishing a database to investigate underlying risk factors, disease manifestations, and outcomes. Methods. We created a crowdsourced call for cases solicited through the Mycoses Study Group Education and Research Consortium, the Centers for Disease Control and Prevention Emerging Infectious Diseases Network, and infectious diseases Twitter groups. Data were collected in a web-based and secure REDCap survey without personal identifiers. Results. Sixty-nine cases were identified and submitted by 29 separate institutional sites. Cryptococcosis was diagnosed a median of 22 days (interquartile range, 9–42 days) after SARS-CoV-2 infection. Mortality among those with available follow-up was 72% (26/36) for the immunocompetent group and 48% (15/31) for the immunocompromised group (likelihood ratio, 4.01; P = .045). We observed a correlation between disease manifestation (central nervous system infection, proven/probable disseminated disease, and respiratory) and mortality (P = .002). Conclusions. The mortality rate of 59% for patients with cryptococcosis following SARS-CoV-2 is higher than that of modern Cryptococcus cohorts. There was an association between immunocompromised status and cryptococcal disease manifestations as well as mortality. Moreover, our series emphasizes the need for clinical and laboratory assessment of opportunistic infections beyond 30 days when concerning symptoms develop.
AB - Background. Invasive fungal infections have been described throughout the COVID-19 pandemic. Cryptococcal disease after infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been reported in several isolated case reports and 1 larger case series. We sought to describe cryptococcal infections following SARS-CoV-2 through establishing a database to investigate underlying risk factors, disease manifestations, and outcomes. Methods. We created a crowdsourced call for cases solicited through the Mycoses Study Group Education and Research Consortium, the Centers for Disease Control and Prevention Emerging Infectious Diseases Network, and infectious diseases Twitter groups. Data were collected in a web-based and secure REDCap survey without personal identifiers. Results. Sixty-nine cases were identified and submitted by 29 separate institutional sites. Cryptococcosis was diagnosed a median of 22 days (interquartile range, 9–42 days) after SARS-CoV-2 infection. Mortality among those with available follow-up was 72% (26/36) for the immunocompetent group and 48% (15/31) for the immunocompromised group (likelihood ratio, 4.01; P = .045). We observed a correlation between disease manifestation (central nervous system infection, proven/probable disseminated disease, and respiratory) and mortality (P = .002). Conclusions. The mortality rate of 59% for patients with cryptococcosis following SARS-CoV-2 is higher than that of modern Cryptococcus cohorts. There was an association between immunocompromised status and cryptococcal disease manifestations as well as mortality. Moreover, our series emphasizes the need for clinical and laboratory assessment of opportunistic infections beyond 30 days when concerning symptoms develop.
KW - COVID-19
KW - SARS-CoV-2
KW - crowdsourced survey
KW - cryptococcal disease
KW - cryptococcal meningitis
UR - http://www.scopus.com/inward/record.url?scp=85185128340&partnerID=8YFLogxK
U2 - 10.1093/cid/ciad551
DO - 10.1093/cid/ciad551
M3 - Article
C2 - 37713207
AN - SCOPUS:85185128340
SN - 1058-4838
VL - 78
SP - 371
EP - 377
JO - Clinical Infectious Diseases
JF - Clinical Infectious Diseases
IS - 2
ER -