The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A Clinical Algorithm to Diagnose Invasive Pulmonary Aspergillosis in Critically Ill Patients
Abstract
RATIONALE: The clinical relevance of Aspergillus-positive endotracheal aspirates in critically ill patients is difficult to assess. OBJECTIVES: We externally validate a clinical algorithm to discriminate Aspergillus colonization from putative invasive pulmonary aspergillosis in this patient group. METHODS: We performed a multicenter (n = 30) observational study including critically ill patients with one or more Aspergillus-positive endotracheal aspirate cultures (n = 524). The diagnostic accuracy of this algorithm was evaluated using 115 patients with histopathologic data, considered the gold standard. Subsequently, the diagnostic workout of the algorithm was compared on the total cohort (n = 524), with the categorization based on the diagnostic criteria of the European Organization for the Research and Treatment of Cancer/Mycoses Study Group. MEASUREMENTS AND MAIN RESULTS: Among 115 histopathology-controlled patients, 79 had proven aspergillosis. The algorithm judged 86 of 115 cases to have putative aspergillosis. This diagnosis was confirmed in 72 and rejected in 14 patients. The algorithm judged 29 patients to have Aspergillus colonization. This was confirmed in 22 and rejected in 7 patients. The algorithm had a specificity of 61% and a sensitivity of 92%. The positive and negative predictive values were 61 and 92%, respectively. In the total cohort (n = 524), 79 patients had proven invasive pulmonary aspergillosis (15.1%). According to the European Organization for the Research and Treatment of Cancer/Mycoses Study Group criteria, 32 patients had probable aspergillosis (6.1%) and 413 patients were not classifiable (78.8%). The algorithm judged 199 patients to have putative aspergillosis (38.0%) and 246 to have Aspergillus colonization (46.9%). CONCLUSIONS: The algorithm demonstrated favorable operating characteristics to discriminate Aspergillus respiratory tract colonization from invasive pulmonary aspergillosis in critically ill patients.
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.
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
De Pauw, B., Walsh, T. J., Donnelly, J. P., Stevens, D. A., Edwards, J. E., Calandra, T., Pappas, P. G., Maertens, J., Lortholary, O., Kauffman, C. A., et al. (2008) · Clinical Infectious Diseases · doi:10.1086/588660 · Cited by 4,917
Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., & de Vet, H. C. W. (2003) · BMJ · doi:10.1136/bmj.326.7379.41 · Cited by 3,215
Towards Complete and Accurate Reporting of Studies of Diagnostic Accuracy: The STARD Initiative
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., & de Vet, H. C. W. (2003) · Radiology · doi:10.1148/radiol.2261021292 · Cited by 3,215
Invasive aspergillosis in critically ill patients without malignancy
Meersseman, W., Vandecasteele, S. J., Wilmer, A., Verbeken, E., Peetermans, W. E., & Van Wijngaerden, E. (2004) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200401-093oc · Cited by 547
Self-citationThe Impact of Culture Isolation of Aspergillus Species: A Hospital‐Based Survey of Aspergillosis
Perfect, J. R., Cox, G. M., Lee, J. Y., Kauffman, C. A., de Repentigny, L., Chapman, S. W., Morrison, V. A., Pappas, P., Hiemenz, J. W., Stevens, D. A., et al. (2001) · Clinical Infectious Diseases · doi:10.1086/323900 · Cited by 458
Nucci, M., Nouér, S. A., Grazziutti, M., Kumar, N. S., Barlogie, B., & Anaissie, E. (2010) · Clinical Infectious Diseases · doi:10.1086/657065 · Cited by 112
Cited by
Patterson, T. F., Thompson, G. R., Denning, D. W., Fishman, J. A., Hadley, S., Herbrecht, R., Kontoyiannis, D. P., Marr, K. A., Morrison, V. A., Nguyen, M. H., et al. (2016) · Clinical Infectious Diseases · doi:10.1093/cid/ciw326 · Cited by 2,926
Ullmann, A. J., Aguado, J. M., Arikan-Akdagli, S., Denning, D. W., Groll, A. H., Lagrou, K., Lass-Flörl, C., Lewis, R. E., Munoz, P., Verweij, P. E., et al. (2018) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2018.01.002 · Cited by 1,556
Self-citationSchauwvlieghe, A. F. A. D., Rijnders, B. J. A., Philips, N., Verwijs, R., Vanderbeke, L., Van Tienen, C., Lagrou, K., Verweij, P. E., Van de Veerdonk, F. L., Gommers, D., et al. (2018) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(18)30274-1 · Cited by 886
The clinical spectrum of pulmonary aspergillosis
Kosmidis, C., & Denning, D. W. (2015) · Thorax · doi:10.1136/thoraxjnl-2014-206291 · Cited by 850
COVID-19 Associated Pulmonary Aspergillosis
Koehler, P., Cornely, O. A., Böttiger, B. W., Dusse, F., Eichenauer, D. A., Fuchs, F., Hallek, M., Jung, N., Klein, F., Persigehl, T., et al. (2020) · Mycoses · doi:10.1111/myc.13096 · Cited by 547
Metadata
- Authors
- Blot, S. I., Taccone, F. S., Van den Abeele, A.-M., Bulpa, P., Meersseman, W., Brusselaers, N., Dimopoulos, G., Paiva, J. A., Misset, B., Rello, J., Vandewoude, K., & Vogelaers, D.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-07-01
- Volume
- 186
- Issue
- 1
- Pages
- 56-64
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- OpenAlex
- W2167423543
- Cited by
- 628
- References
- 6
- FWCI
- 12.75
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Clinical Algorithm to Diagnose Invasive Pulmonary Aspergillosis in Critically Ill Patients. https://app.cochat.ai/papers/10.1164/rccm.201111-1978oc
- The paper
- Blot, S. I., Taccone, F. S., Van den Abeele, A.-M., Bulpa, P., Meersseman, W., Brusselaers, N., Dimopoulos, G., Paiva, J. A., Misset, B., Rello, J., Vandewoude, K., & Vogelaers, D. (2012). A Clinical Algorithm to Diagnose Invasive Pulmonary Aspergillosis in Critically Ill Patients. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.201111-1978oc
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
