Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 349

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Early Identification of Patients at Risk for Difficult Intubation in the Intensive Care Unit: Development and Validation of the MACOCHA Score in a Multicenter Cohort Study

De Jong, Audrey, Molinari, Nicolas, Terzi, Nicolas, Mongardon, Nicolas, Arnal, Jean-Michel, Guitton, Christophe, Allaouchiche, Bernard, Paugam-Burtz, Catherine, Constantin, Jean-Michel, Lefrant, Jean-Yves, Leone, Marc, Papazian, Laurent, Asehnoune, Karim, Maziers, Nicolas, Azoulay, Elie, Pradel, Gael, Jung, Boris, Jaber, Samir, AzuRéa Network for the Frida-Réa Study Group·2013·American Journal of Respiratory and Critical Care Medicine

Abstract

RATIONALE: Difficult intubation in the intensive care unit (ICU) is a challenging issue. OBJECTIVES: To develop and validate a simplified score for identifying patients with difficult intubation in the ICU and to report related complications. METHODS: Data collected in a prospective multicenter study from 1,000 consecutive intubations from 42 ICUs were used to develop a simplified score of difficult intubation, which was then validated externally in 400 consecutive intubation procedures from 18 other ICUs and internally by bootstrap on 1,000 iterations. MEASUREMENTS AND MAIN RESULTS: In multivariate analysis, the main predictors of difficult intubation (incidence = 11.3%) were related to patient (Mallampati score III or IV, obstructive sleep apnea syndrome, reduced mobility of cervical spine, limited mouth opening); pathology (severe hypoxia, coma); and operator (nonanesthesiologist). From the β parameter, a seven-item simplified score (MACOCHA score) was built, with an area under the curve (AUC) of 0.89 (95% confidence interval [CI], 0.85-0.94). In the validation cohort (prevalence of difficult intubation = 8%), the AUC was 0.86 (95% CI, 0.76-0.96), with a sensitivity of 73%, a specificity of 89%, a negative predictive value of 98%, and a positive predictive value of 36%. After internal validation by bootstrap, the AUC was 0.89 (95% CI, 0.86-0.93). Severe life-threatening events (severe hypoxia, collapse, cardiac arrest, or death) occurred in 38% of the 1,000 cases. Patients with difficult intubation (n = 113) had significantly higher severe life-threatening complications than those who had a nondifficult intubation (51% vs. 36%; P < 0.0001). CONCLUSIONS: Difficult intubation in the ICU is strongly associated with severe life-threatening complications. A simple score including seven clinical items discriminates difficult and nondifficult intubation in the ICU. Clinical trial registered with www.clinicaltrials.gov (NCT 01532063).

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1164/rccm.201210-1851oc

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 1 references

Cited by

See all 349

Metadata

Authors
De Jong, A., Molinari, N., Terzi, N., Mongardon, N., Arnal, J.-M., Guitton, C., Allaouchiche, B., Paugam-Burtz, C., Constantin, J.-M., Lefrant, J.-Y., Leone, M., Papazian, L., Asehnoune, K., Maziers, N., Azoulay, E., Pradel, G., Jung, B., Jaber, S., & AzuRéa Network for the Frida-Réa Study Group
Venue
American Journal of Respiratory and Critical Care Medicine
Published
2013-04-15
Volume
187
Issue
8
Pages
832-839
ISSN
  • 1073-449X (ISSN-L)
  • 1535-4970
OpenAlex
W2157997205
Cited by
349
References
1
FWCI
27.33
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: Early Identification of Patients at Risk for Difficult Intubation in the Intensive Care Unit: Development and Validation of the MACOCHA Score in a Multicenter Cohort Study. https://app.cochat.ai/papers/10.1164/rccm.201210-1851oc
The paper
De Jong, A., Molinari, N., Terzi, N., Mongardon, N., Arnal, J.-M., Guitton, C., Allaouchiche, B., Paugam-Burtz, C., Constantin, J.-M., Lefrant, J.-Y., Leone, M., Papazian, L., Asehnoune, K., Maziers, N., Azoulay, E., Pradel, G., Jung, B., Jaber, S., & AzuRéa Network for the Frida-Réa Study Group. (2013). Early Identification of Patients at Risk for Difficult Intubation in the Intensive Care Unit: Development and Validation of the MACOCHA Score in a Multicenter Cohort Study. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.201210-1851oc

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.