The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Exhaled air dispersion during high-flow nasal cannula therapy versus CPAP via different masks
Open accessAbstract
Background: High-flow nasal cannula (HFNC) is an emerging therapy for respiratory failure but the extent of exhaled air dispersion during treatment is unknown. We examined exhaled air dispersion during HFNC therapy versus continuous positive airway pressure (CPAP) on a human patient simulator (HPS) in an isolation room with 16 air changes·h−1. Methods: The HPS was programmed to represent different severity of lung injury. CPAP was delivered at 5–20 cmH 2 O via nasal pillows (Respironics Nuance Pro Gel or ResMed Swift FX) or an oronasal mask (ResMed Quattro Air). HFNC, humidified to 37°C, was delivered at 10–60 L·min−1 to the HPS. Exhaled airflow was marked with intrapulmonary smoke for visualisation and revealed by laser light-sheet. Normalised exhaled air concentration was estimated from the light scattered by the smoke particles. Significant exposure was defined when there was ≥20% normalised smoke concentration. Results: In the normal lung condition, mean±sd exhaled air dispersion, along the sagittal plane, increased from 186±34 to 264±27 mm and from 207±11 to 332±34 mm when CPAP was increased from 5 to 20 cmH 2 O via Respironics and ResMed nasal pillows, respectively. Leakage from the oronasal mask was negligible. Mean±sd exhaled air distances increased from 65±15 to 172±33 mm when HFNC was increased from 10 to 60 L·min−1. Air leakage to 620 mm occurred laterally when HFNC and the interface tube became loose. Conclusion: Exhaled air dispersion during HFNC and CPAP via different interfaces is limited provided there is good mask interface fitting.
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
A Major Outbreak of Severe Acute Respiratory Syndrome in Hong Kong
Lee, N., Hui, D., Wu, A., Chan, P., Cameron, P., Joynt, G. M., Ahuja, A., Yung, M. Y., Leung, C. B., To, K. F., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030685 · Cited by 2,628
Self-citationHigh-Flow Oxygen through Nasal Cannula in Acute Hypoxemic Respiratory Failure
Frat, J.-P., Thille, A. W., Mercat, A., Girault, C., Ragot, S., Perbet, S., Prat, G., Boulain, T., Morawiec, E., Cottereau, A., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1503326 · Cited by 2,342
Tran, K., Cimon, K., Severn, M., Pessoa-Silva, C. L., & Conly, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035797 · Cited by 1,811
Official ERS/ATS clinical practice guidelines: noninvasive ventilation for acute respiratory failure
Rochwerg, B., Brochard, L., Elliott, M. W., Hess, D., Hill, N. S., Nava, S., Navalesi, P., Antonelli, M., Brozek, J., Conti, G., et al. (2017) · European Respiratory Journal · doi:10.1183/13993003.02426-2016 · Cited by 1,668
Middle East respiratory syndrome
Zumla, A., Hui, D. S., & Perlman, S. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60454-8 · Cited by 1,263
Self-citationUpdate on Avian Influenza A (H5N1) Virus Infection in Humans
(2008) · New England Journal of Medicine · doi:10.1056/nejmra0707279 · Cited by 860
Tang, J. W., Li, Y., Eames, I., Chan, P. K. S., & Ridgway, G. L. (2006) · Journal of Hospital Infection · doi:10.1016/j.jhin.2006.05.022 · Cited by 667
Clinical Findings in 111 Cases of Influenza A (H7N9) Virus Infection
Gao, H.-N., Lu, H.-Z., Cao, B., Du, B., Shang, H., Gan, J.-H., Lu, S.-H., Yang, Y.-D., Fang, Q., Shen, Y.-Z., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1305584 · Cited by 651
Patel, B. K., Wolfe, K. S., Pohlman, A. S., Hall, J. B., & Kress, J. P. (2016) · JAMA · doi:10.1001/jama.2016.6338 · Cited by 545
Hui, D. S., Azhar, E. I., Kim, Y.-J., Memish, Z. A., Oh, M.-D., & Zumla, A. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(18)30127-0 · Cited by 448
Self-citation
Cited by
Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations
Phua, J., Weng, L., Ling, L., Egi, M., Lim, C.-M., Divatia, J. V., Shrestha, B. R., Arabi, Y. M., Ng, J., Gomersall, C. D., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30161-2 · Cited by 1,509
Ortiz-Prado, E., Simbaña-Rivera, K., Gómez- Barreno, L., Rubio-Neira, M., Guaman, L. P., Kyriakidis, N. C., Muslin, C., Jaramillo, A. M. G., Barba-Ostria, C., Cevallos-Robalino, D., et al. (2020) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2020.115094 · Cited by 458
Lazzeri, M., Lanza, A., Bellini, R., Bellofiore, A., Cecchetto, S., Colombo, A., D'Abrosca, F., Del Monaco, C., Gaudellio, G., Paneroni, M., et al. (2020) · Monaldi Archives for Chest Disease · doi:10.4081/monaldi.2020.1285 · Cited by 295
Sleep medicine and COVID-19. Has a new era begun?
Voulgaris, A., Ferini-Strambi, L., & Steiropoulos, P. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.07.010 · Cited by 54
Metadata
- Authors
- Hui, D. S., Chow, B. K., Lo, T., Tsang, O. T. Y., Ko, F. W., Ng, S. S., Gin, T., & Chan, M. T. V.
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2019-01-31
- Volume
- 53
- Issue
- 4
- Pages
- 1802339
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2914546156
- Cited by
- 328
- References
- 36
- FWCI
- 46.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Exhaled air dispersion during high-flow nasal cannula therapy versus CPAP via different masks. https://app.cochat.ai/papers/10.1183/13993003.02339-2018
- The paper
- Hui, D. S., Chow, B. K., Lo, T., Tsang, O. T. Y., Ko, F. W., Ng, S. S., Gin, T., & Chan, M. T. V. (2019). Exhaled air dispersion during high-flow nasal cannula therapy versus CPAP via different masks. European Respiratory Journal. https://doi.org/10.1183/13993003.02339-2018
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.
