Factors for Predicting Noninvasive Ventilation Failure in Elderly Patients with Respiratory Failure
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Min Jeong | - |
dc.contributor.author | Cho, Jae Hwa | - |
dc.contributor.author | Chang, Youjin | - |
dc.contributor.author | Moon, Jae Young | - |
dc.contributor.author | Park, Sunghoon | - |
dc.contributor.author | Park, Tai Sun | - |
dc.contributor.author | Lee, Young Seok | - |
dc.date.accessioned | 2021-08-02T09:25:57Z | - |
dc.date.available | 2021-08-02T09:25:57Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2020-07 | - |
dc.identifier.issn | 2077-0383 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/9681 | - |
dc.description.abstract | Noninvasive ventilation (NIV) is useful when managing critically ill patients. However, it is not easy to apply to elderly patients, particularly those with pneumonia, due to the possibility of NIV failure and the increased mortality caused by delayed intubation. In this prospective observational study, we explored whether NIV was appropriate for elderly patients with pneumonia, defined factors that independently predicted NIV failure, and built an optimal model for prediction of such failure. We evaluated 78 patients with a median age of 77 years. A low PaCO₂level, a high heart rate, and the presence of pneumonia were statistically significant independent predictors of NIV failure. The predictive power for NIV failure of Model III (pneumonia, PaCO₂level, and heart rate) was better than that of Model I (pneumonia alone). Considering the improvement in parameters, patients with successful NIV exhibited significantly improved heart rates, arterial pH and PaCO₂levels, and patients with NIV failure exhibited a significantly improved PaCO₂level only. In conclusion, NIV is reasonable to apply to elderly patients with pneumonia, but should be done with caution. For the early identification of NIV failure, the heart rate and arterial blood gas parameters should be monitored within 2 h after NIV commencement. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.title | Factors for Predicting Noninvasive Ventilation Failure in Elderly Patients with Respiratory Failure | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Tai Sun | - |
dc.identifier.doi | 10.3390/jcm9072116 | - |
dc.identifier.scopusid | 2-s2.0-85100208203 | - |
dc.identifier.wosid | 000554269500001 | - |
dc.identifier.bibliographicCitation | JOURNAL OF CLINICAL MEDICINE, v.9, no.7, pp.1 - 12 | - |
dc.relation.isPartOf | JOURNAL OF CLINICAL MEDICINE | - |
dc.citation.title | JOURNAL OF CLINICAL MEDICINE | - |
dc.citation.volume | 9 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 12 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | General & Internal Medicine | - |
dc.relation.journalWebOfScienceCategory | Medicine, General & Internal | - |
dc.subject.keywordPlus | POSITIVE-PRESSURE VENTILATION | - |
dc.subject.keywordPlus | COMMUNITY-ACQUIRED PNEUMONIA | - |
dc.subject.keywordPlus | NASAL CANNULA | - |
dc.subject.keywordPlus | NOSOCOMIAL INFECTIONS | - |
dc.subject.keywordPlus | OXYGEN-THERAPY | - |
dc.subject.keywordPlus | MORTALITY | - |
dc.subject.keywordPlus | OUTCOMES | - |
dc.subject.keywordAuthor | noninvasive ventilation | - |
dc.subject.keywordAuthor | respiratory failure | - |
dc.subject.keywordAuthor | aged | - |
dc.subject.keywordAuthor | intubation | - |
dc.subject.keywordAuthor | critical illness | - |
dc.identifier.url | https://www.mdpi.com/2077-0383/9/7/2116 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.