Predictors of successful decannulation in patients with chronic disorders of consciousness and tracheostomy.
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| Title: | Predictors of successful decannulation in patients with chronic disorders of consciousness and tracheostomy. |
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| Authors: | Hong, Zhang (AUTHOR), Lang, Chen (AUTHOR), Qiang, Shao (AUTHOR), Li, Sun (AUTHOR), Kai, Xiao (AUTHOR), Dan, Mo (AUTHOR), Shu, Wang (AUTHOR), Jianqi, Xu (AUTHOR) |
| Source: | Neurological Sciences. Mar2026, Vol. 47 Issue 3, p1-7. 7p. |
| Abstract: | Objective: To investigate the independent predictive factors for successful decannulation in patients with chronic disorders of consciousness (pDoC), and to provide evidence for clinical decision-making regarding safe tracheostomy tube removal. Methods: We conducted a single-center retrospective cohort study and consecutively enrolled 156 patients with tracheotomy and post-disorders of consciousness (pDoC) who were admitted from January 2022 to June 2025. Data on demographics, etiology, level of consciousness (assessed using the Coma Recovery Scale–Revised, CRS-R), and airway function (cough strength, sputum volume, signs of aspiration, airway structure) were collected. All patients underwent a standardized pre-decannulation assessment protocol, including fiberoptic bronchoscopy, a cuff-leak test, and a tube occlusion trial. Univariate analysis and multivariate logistic regression modeling were employed to identify factors independently associated with successful decannulation. Results: Of the 156 patients, 89 (57.1%) were successfully decannulated. Multivariate logistic regression analysis identified the following independent protective factors for successful decannulation: a minimally conscious state (MCS) (OR = 5.58, 95% CI: 2.18–14.27), strong voluntary cough strength (OR = 5.21, 95% CI: 2.12–12.82), and daily sputum volume ≤ 30 mL (OR = 4.86, 95% CI: 2.02–11.70). Conclusion: Level of consciousness (minimally conscious state), cough strength, and sputum volume are key independent predictors of successful decannulation in patients with pDoC. An assessment pathway based on these indicators can help identify suitable candidates for decannulation, optimize clinical management strategies, and promote patient recovery and prognosis. [ABSTRACT FROM AUTHOR] |
| Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 191647674 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predictors of successful decannulation in patients with chronic disorders of consciousness and tracheostomy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hong%2C+Zhang%22">Hong, Zhang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lang%2C+Chen%22">Lang, Chen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qiang%2C+Shao%22">Qiang, Shao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Sun%22">Li, Sun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kai%2C+Xiao%22">Kai, Xiao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dan%2C+Mo%22">Dan, Mo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shu%2C+Wang%22">Shu, Wang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jianqi%2C+Xu%22">Jianqi, Xu</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Mar2026, Vol. 47 Issue 3, p1-7. 7p. – Name: Abstract Label: Abstract Group: Ab Data: Objective: To investigate the independent predictive factors for successful decannulation in patients with chronic disorders of consciousness (pDoC), and to provide evidence for clinical decision-making regarding safe tracheostomy tube removal. Methods: We conducted a single-center retrospective cohort study and consecutively enrolled 156 patients with tracheotomy and post-disorders of consciousness (pDoC) who were admitted from January 2022 to June 2025. Data on demographics, etiology, level of consciousness (assessed using the Coma Recovery Scale–Revised, CRS-R), and airway function (cough strength, sputum volume, signs of aspiration, airway structure) were collected. All patients underwent a standardized pre-decannulation assessment protocol, including fiberoptic bronchoscopy, a cuff-leak test, and a tube occlusion trial. Univariate analysis and multivariate logistic regression modeling were employed to identify factors independently associated with successful decannulation. Results: Of the 156 patients, 89 (57.1%) were successfully decannulated. Multivariate logistic regression analysis identified the following independent protective factors for successful decannulation: a minimally conscious state (MCS) (OR = 5.58, 95% CI: 2.18–14.27), strong voluntary cough strength (OR = 5.21, 95% CI: 2.12–12.82), and daily sputum volume ≤ 30 mL (OR = 4.86, 95% CI: 2.02–11.70). Conclusion: Level of consciousness (minimally conscious state), cough strength, and sputum volume are key independent predictors of successful decannulation in patients with pDoC. An assessment pathway based on these indicators can help identify suitable candidates for decannulation, optimize clinical management strategies, and promote patient recovery and prognosis. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10072-025-08805-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 1 Titles: – TitleFull: Predictors of successful decannulation in patients with chronic disorders of consciousness and tracheostomy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hong, Zhang – PersonEntity: Name: NameFull: Lang, Chen – PersonEntity: Name: NameFull: Qiang, Shao – PersonEntity: Name: NameFull: Li, Sun – PersonEntity: Name: NameFull: Kai, Xiao – PersonEntity: Name: NameFull: Dan, Mo – PersonEntity: Name: NameFull: Shu, Wang – PersonEntity: Name: NameFull: Jianqi, Xu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15901874 Numbering: – Type: volume Value: 47 – Type: issue Value: 3 Titles: – TitleFull: Neurological Sciences Type: main |
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