Comparison of four diagnostic criteria for invasive pulmonary aspergillosis—A diagnostic accuracy study in critically ill patients. Issue 8 (23rd June 2022)
- Record Type:
- Journal Article
- Title:
- Comparison of four diagnostic criteria for invasive pulmonary aspergillosis—A diagnostic accuracy study in critically ill patients. Issue 8 (23rd June 2022)
- Main Title:
- Comparison of four diagnostic criteria for invasive pulmonary aspergillosis—A diagnostic accuracy study in critically ill patients
- Authors:
- Schroeder, Maria
Giese, Melanie
Wijaya, Charles
Winterland, Sarah
Nuechtern, Annika
Grensemann, Joern
Matthews, Hanna
Wichmann, Dominic
Stamm, Johannes
Rohde, Holger
Christner, Martin
Ozga, Ann‐Kathrin
Steurer, Stefan
Heinemann, Axel
Simon, Marcel
Fischer, Marlene
Kluge, Stefan - Abstract:
- Abstract: Background: In the absence of lung biopsy, there are various algorithms for the diagnosis of invasive pulmonary aspergillosis (IPA) in critically ill patients that rely on clinical signs, underlying conditions, radiological features and mycology. The aim of the present study was to compare four diagnostic algorithms in their ability to differentiate between probable IPA (i.e., requiring treatment) and colonisation. Methods: For this diagnostic accuracy study, we included a mixed ICU population with a positive Aspergillus culture from respiratory secretions and applied four different diagnostic algorithms to them. We compared agreement among the four algorithms. In a subgroup of patients with lung tissue histopathology available, we determined the sensitivity and specificity of the single algorithms. Results: A total number of 684 critically ill patients (69% medical/31% surgical) were included between 2005 and 2020. Overall, 79% ( n = 543) of patients fulfilled the criteria for probable IPA according to at least one diagnostic algorithm. Only 4% of patients ( n = 29) fulfilled the criteria for probable IPA according to all four algorithms. Agreement among the four diagnostic criteria was low (Cohen's kappa 0.07–0.29). From 85 patients with histopathological examination of lung tissue, 40% ( n = 34) had confirmed IPA. The new EORTC/MSGERC ICU working group criteria had high specificity (0.59 [0.41–0.75]) and sensitivity (0.73 [0.59–0.85]). Conclusions: In aAbstract: Background: In the absence of lung biopsy, there are various algorithms for the diagnosis of invasive pulmonary aspergillosis (IPA) in critically ill patients that rely on clinical signs, underlying conditions, radiological features and mycology. The aim of the present study was to compare four diagnostic algorithms in their ability to differentiate between probable IPA (i.e., requiring treatment) and colonisation. Methods: For this diagnostic accuracy study, we included a mixed ICU population with a positive Aspergillus culture from respiratory secretions and applied four different diagnostic algorithms to them. We compared agreement among the four algorithms. In a subgroup of patients with lung tissue histopathology available, we determined the sensitivity and specificity of the single algorithms. Results: A total number of 684 critically ill patients (69% medical/31% surgical) were included between 2005 and 2020. Overall, 79% ( n = 543) of patients fulfilled the criteria for probable IPA according to at least one diagnostic algorithm. Only 4% of patients ( n = 29) fulfilled the criteria for probable IPA according to all four algorithms. Agreement among the four diagnostic criteria was low (Cohen's kappa 0.07–0.29). From 85 patients with histopathological examination of lung tissue, 40% ( n = 34) had confirmed IPA. The new EORTC/MSGERC ICU working group criteria had high specificity (0.59 [0.41–0.75]) and sensitivity (0.73 [0.59–0.85]). Conclusions: In a cohort of mixed ICU patients, the agreement among four algorithms for the diagnosis of IPA was low. Although improved by the latest diagnostic criteria, the discrimination of invasive fungal infection from Aspergillus colonisation in critically ill patients remains challenging and requires further optimization. … (more)
- Is Part Of:
- Mycoses. Volume 65:Issue 8(2022)
- Journal:
- Mycoses
- Issue:
- Volume 65:Issue 8(2022)
- Issue Display:
- Volume 65, Issue 8 (2022)
- Year:
- 2022
- Volume:
- 65
- Issue:
- 8
- Issue Sort Value:
- 2022-0065-0008-0000
- Page Start:
- 824
- Page End:
- 833
- Publication Date:
- 2022-06-23
- Subjects:
- antifungal treatment -- Aspergillus -- COVID‐19 -- diagnostic algorithm -- ICU -- influenza -- invasive pulmonary aspergillosis
Pathogenic fungi -- Periodicals
Medical mycology -- Periodicals
616.969 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1111/myc.13478 ↗
- Languages:
- English
- ISSNs:
- 0933-7407
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5995.753000
British Library DSC - BLDSS-3PM
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