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Identifying Subjects at Risk for Diaphragm Atrophy During Mechanical Ventilation Using Routinely Available Clinical Data.
Identifying Subjects at Risk for Diaphragm Atrophy During Mechanical Ventilation Using Routinely Available Clinical Data.
- Source :
- Respiratory Care; Apr2021, Vol. 66 Issue 4, p551-558, 8p
- Publication Year :
- 2021
-
Abstract
- BACKGROUND: Diaphragmatic respiratory effort during mechanical ventilation is an important determinant of patient outcome, but direct measurement of diaphragmatic contractility requires specialized instrumentation and technical expertise. We sought to determine whether routinely collected clinical variables can predict diaphragmatic contractility and stratify the risk of diaphragm atrophy. METHODS: We conducted a secondary analysis of a prospective cohort study on diaphragm ultrasound in mechanically ventilated subjects. Clinical variables, such as breathing frequency, ventilator settings, and blood gases, were recorded longitudinally. Machine learning techniques were used to identify variables predicting diaphragm contractility and stratifying the risk of diaphragm atrophy (> 10% decrease in thickness from baseline). Performance of the variables was evaluated in mixed-effects logistic regression and random-effects tree models using the area under the receiver operating characteristic curve. RESULTS: Measurements were available for 761 study days in 191 subjects, of whom 73 (38%) developed diaphragm atrophy. No routinely collected clinical variable, alone or in combination, could accurately predict either diaphragm contractility or the development of diaphragm atrophy (model area under the receiver operating characteristic curve 0.63--0.75). The risk of diaphragm atrophy was not significantly different according to the pres- ence or absence of patient-triggered breaths (38.3% vs 38.6%; odds ratio 1.01, 95% CI 0.05--2.03). Diaphragm thickening fraction < 15% during either of the first 2 d of the study was associated with a higher risk of atrophy (44.6% vs 26.1%; odds ratio 2.28, 95% CI 1.05--4.95). CONCLUSIONS: Diaphragmatic contractility and the risk of diaphragm atrophy could not be reliably determined from routinely collected clinical variables and ventilator settings. A single measurement of dia- phragm thickening fraction measured within 48 h of initiating mechanical ventilation can be used to stratify the risk of diaphragm atrophy during mechanical ventilation. [ABSTRACT FROM AUTHOR]
- Subjects :
- HOSPITALS
CONFIDENCE intervals
SKELETAL muscle
MECHANICAL ventilators
ANTHROPOMETRY
DIAPHRAGM (Anatomy)
PATIENTS
MACHINE learning
RANDOM forest algorithms
ARTIFICIAL respiration
ATROPHY
RISK assessment
DESCRIPTIVE statistics
ELECTRONIC health records
LOGISTIC regression analysis
RECEIVER operating characteristic curves
ODDS ratio
RESPIRATION
SECONDARY analysis
ALGORITHMS
DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 00201324
- Volume :
- 66
- Issue :
- 4
- Database :
- Supplemental Index
- Journal :
- Respiratory Care
- Publication Type :
- Academic Journal
- Accession number :
- 149601667
- Full Text :
- https://doi.org/10.4187/respcare.08223