Dataset Information

Factors Influencing Continuous Breath Signal in Intubated and Mechanically-Ventilated Intensive Care Unit Patients Measured by an Electronic Nose.

ABSTRACT:

Introduction

Continuous breath analysis by electronic nose (eNose) technology in the intensive care unit (ICU) may be useful in monitoring (patho) physiological changes. However, the application of breath monitoring in a non-controlled clinical setting introduces noise into the data. We hypothesized that the sensor signal is influenced by: (1) humidity in the side-stream; (2) patient-ventilator disconnections and the nebulization of medication; and (3) changes in ventilator settings and the amount of exhaled CO?. We aimed to explore whether the aforementioned factors introduce noise into the signal, and discuss several approaches to reduce this noise.

Methods

Study in mechanically-ventilated ICU patients. Exhaled breath was monitored using a continuous eNose with metal oxide sensors. Linear (mixed) models were used to study hypothesized associations.

Results

In total, 1251 h of eNose data were collected. First, the initial 15 min of the signal was discarded. There was a negative association between humidity and Sensor 1 (Fixed-effect ?: -0.05 ± 0.002) and a positive association with Sensors 2-4 (Fixed-effect ?: 0.12 ± 0.001); the signal was corrected for this noise. Outliers were most likely due to noise and therefore removed. Sensor values were positively associated with end-tidal CO?, tidal volume and the pressure variables. The signal was corrected for changes in these ventilator variables after which the associations disappeared.

Conclusion

Variations in humidity, ventilator disconnections, nebulization of medication and changes of ventilator settings indeed influenced exhaled breath signals measured in ventilated patients by continuous eNose analysis. We discussed several approaches to reduce the effects of these noise inducing variables.

SUBMITTER: Leopold JH

PROVIDER: S-EPMC5017501 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Publications

Factors Influencing Continuous Breath Signal in Intubated and Mechanically-Ventilated Intensive Care Unit Patients Measured by an Electronic Nose.

Leopold Jan Hendrik JH Abu-Hanna Ameen A Colombo Camilla C Sterk Peter J PJ Schultz Marcus J MJ Bos Lieuwe D J LD

Sensors (Basel, Switzerland) 20160822 8

<h4>Introduction</h4>Continuous breath analysis by electronic nose (eNose) technology in the intensive care unit (ICU) may be useful in monitoring (patho) physiological changes. However, the application of breath monitoring in a non-controlled clinical setting introduces noise into the data. We hypothesized that the sensor signal is influenced by: (1) humidity in the side-stream; (2) patient-ventilator disconnections and the nebulization of medication; and (3) changes in ventilator settings and ...[more]

PMID: 27556467

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Project description:Objective: Music listening interventions are utilized in a wide variety of clinical settings to help patients manage stress, anxiety, pain, discomfort, as well as attendant influences on sedative exposure, delirium, and cognitive functioning. While the body of research regarding the use of music-based listening interventions continues to grow, there is a paucity of information in the literature about specific music used for listening interventions. The purpose of this secondary analysis is to examine the music that study participants identified as their preferred music and listened to during the study. Design: This secondary analysis is based on data from a parent study, which was a three-arm randomized controlled trial attesting a patient-directed music (PDM) listening protocol to manage the psychophysiological symptom of anxiety. Setting: Twelve intensive care units in a major metropolitan area in the United States. Subjects: Participants included the 126 mechanically ventilated patients enrolled and randomized to the PDM listening arm of the study. Results: Data presented in this study include playlists from the 12 genres patients self-identified as preferred with specific groups and artists requested for music listening during the study. Discographies of the playlists are also included. Conclusions: The efficacy of interventions is impacted by the design of the intervention and the selection of music utilized. Implications of this analysis further explore the role of a board-certified music therapist (MT-BC) in designing and implementing a music listening intervention. The specialized knowledge on the therapeutic use and benefits of music that an MT-BC possesses supports the development of quality study intervention and appropriate implementation. The review of the music utilized in the parent study provides detailed information about the music utilized to inform future research focused on music listening interventions to effectively build on previous studies. Clinical Trial Registration: ClinicalTrials.gov NCT00440700.

Project description:BackgroundDiaphragm dysfunction is highly prevalent in mechanically ventilated patients. Recent work showed that changes in diaphragm shear modulus (ΔSMdi) assessed using ultrasound shear wave elastography (SWE) are strongly related to changes in Pdi (ΔPdi) in healthy subjects. The aims of this study were to investigate the relationship between ΔSMdi and ΔPdi in mechanically ventilated patients, and whether ΔSMdi is responsive to change in respiratory load when varying the ventilator settings.MethodsA prospective, monocentric study was conducted in a 15-bed ICU. Patients were included if they met the readiness-to-wean criteria. Pdi was continuously monitored using a double-balloon feeding catheter orally introduced. The zone of apposition of the right hemidiaphragm was imaged using a linear transducer (SL10-2, Aixplorer, Supersonic Imagine, France). Ultrasound recordings were performed under various pressure support settings and during a spontaneous breathing trial (SBT). A breath-by-breath analysis was performed, allowing the direct comparison between ΔPdi and ΔSMdi. Pearson's correlation coefficients (r) were used to investigate within-individual relationships between variables, and repeated measure correlations (R) were used for determining overall relationships between variables. Linear mixed models were used to compare breathing indices across the conditions of ventilation.ResultsThirty patients were included and 930 respiratory cycles were analyzed. Twenty-five were considered for the analysis. A significant correlation was found between ΔPdi and ΔSMdi (R = 0.45, 95% CIs [0.35 0.54], p < 0.001). Individual correlation displays a significant correlation in 8 patients out of 25 (r = 0.55-0.86, all p < 0.05, versus r = - 0.43-0.52, all p > 0.06). Changing the condition of ventilation similarly affected ΔPdi and ΔSMdi. Patients in which ΔPdi-ΔSMdi correlation was non-significant had a faster respiratory rate as compared to that of patient with a significant ΔPdi-ΔSMdi relationship (median (Q1-Q3), 25 (18-33) vs. 21 (15-26) breaths.min-1, respectively).ConclusionsWe demonstrate that ultrasound SWE may be a promising surrogate to Pdi in mechanically ventilated patients. Respiratory rate appears to negatively impact SMdi measurement. Technological developments are needed to generalize this method in tachypneic patients.Trial registrationNCT03832231 .

Dataset Information

Factors Influencing Continuous Breath Signal in Intubated and Mechanically-Ventilated Intensive Care Unit Patients Measured by an Electronic Nose.

Introduction

Methods

Results

Conclusion

Publications

Factors Influencing Continuous Breath Signal in Intubated and Mechanically-Ventilated Intensive Care Unit Patients Measured by an Electronic Nose.

Similar Datasets

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