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A Clinical Case of COVID-19-Associated Pulmonary Aspergillosis (CAPA), Illustrating the Challenges in Diagnosis (Despite Overwhelming Mycological Evidence).
White, P Lewis; Springer, Jan; Wise, Matt P; Einsele, Hermann; Löffler, Claudia; Seif, Michelle; Prommersberger, Sabrina; Backx, Matthijs; Löffler, Jürgen.
  • White PL; Public Health Wales, Microbiology Cardiff, UHW, Cardiff CF14 4XW, UK.
  • Springer J; Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, 97080 Würzburg, Germany.
  • Wise MP; Intensive Care Medicine, University Hospital of Wales, Cardiff CF14 4XW, UK.
  • Einsele H; Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, 97080 Würzburg, Germany.
  • Löffler C; Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, 97080 Würzburg, Germany.
  • Seif M; Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, 97080 Würzburg, Germany.
  • Prommersberger S; Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, 97080 Würzburg, Germany.
  • Backx M; Public Health Wales, Microbiology Cardiff, UHW, Cardiff CF14 4XW, UK.
  • Löffler J; Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, 97080 Würzburg, Germany.
J Fungi (Basel) ; 8(1)2022 Jan 14.
Article in English | MEDLINE | ID: covidwho-1625904
ABSTRACT
The COVID-19 pandemic has resulted in large numbers of patients requiring critical care management. With the established association between severe respiratory virus infection and invasive pulmonary aspergillosis (7.6% for COVID-19-associated pulmonary aspergillosis (CAPA)), the pandemic places a significant number of patients at potential risk from secondary invasive fungal disease. We described a case of CAPA with substantial supporting mycological evidence, highlighting the need to employ strategic diagnostic algorithms and weighted definitions to improve the accuracy in diagnosing CAPA.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Jof8010081

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Jof8010081