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Factors for Predicting Noninvasive Ventilation Failure in Elderly Patients with Respiratory Failure

Authors
 Min Jeong Park  ;  Jae Hwa Cho  ;  Youjin Chang  ;  Jae Young Moon  ;  Sunghoon Park  ;  Tai Sun Park  ;  Young Seok Lee 
Citation
 JOURNAL OF CLINICAL MEDICINE, Vol.9(7) : 2116, 2020-07 
Journal Title
JOURNAL OF CLINICAL MEDICINE
Issue Date
2020-07
Keywords
noninvasive ventilation ; respiratory failure ; aged ; intubation ; critical illness
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 PaCO(2)level, 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, PaCO(2)level, 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 PaCO(2)levels, and patients with NIV failure exhibited a significantly improved PaCO(2)level 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.
Files in This Item:
T9992020281.pdf Download
DOI
10.3390/jcm9072116
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Cho, Jaehwa(조재화) ORCID logo https://orcid.org/0000-0002-3432-3997
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/190059
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