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With the aid of computerized sound analysis, digital acoustic monitoring could provide a more sensitive, specific, and quantifiable indicator for perioperative respiratory abnormalities including wheezing. It is probable that the digital stethoscope has utility in the detection, monitoring, and resolution following treatment of acoustic changes characteristic of turbulent respiratory gas flow due to wheezing and/or the incomplete resolution of atelectasis following the re-initiation of ventilation in a collapsed lung.
Anesthesiologists still rely on use of a conventional stethoscope to detect abnormal breath sounds during and after surgery - this process is labor intensive, intermittent, relies on human experience and thus is highly subjective. In fact, even for the most basic assessments, e.g. endobronchial intubation, human auscultation is unreliable.1 Digital stethoscopes are able to both amplify and digitize airway sounds and also provide a mechanism to record and analyze them for features undetectable by a human. Several small, pilot studies have shown that acoustic waveforms from the lungs produce characteristic spectral patterns in specific pulmonary pathophysiologic states. At this time, there are no studies that examine the acoustic patterns specific to perioperative wheezing or lung re-expansion. With the aid of computerized sound analysis, digital acoustic monitoring could provide a more sensitive, specific, and quantifiable indicator for perioperative respiratory abnormalities including wheezing. It is probable that the digital stethoscope has utility in the detection and monitoring of acoustic changes characteristic of turbulent respiratory gas flow due to wheezing and/or the incomplete resolution of atelectasis following the re-initiation of ventilation in a collapsed lung. In addition, treatment of perioperative wheezing with an inhaled bronchodilator may lead to resolution of wheezing and this response to treatment may also be monitored using waveform and spectral characteristics of the acoustic patterns from the digital stethoscope.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Acoustic ventilation | Device |
|
| Measure | Description | Time Frame |
|---|---|---|
| Spectral Waveform Analysis to discriminate between wheezing and not wheezing based on specific frequency bands | Comparison of the spectral waveforms to determine the specific frequency bands associated with wheezing and non-wheezing | Duration of the operation while the esophageal stethoscope is in place, an average of 3 hours |
| Measure | Description | Time Frame |
|---|---|---|
| Spectral waveform analysis associated with ventilatory parameters | Ventilatory parameters including respiratory rate, tidal volume, and airway pressures that were recorded during the case will be compared with the spectral waveforms to determine the specific frequency bands associated with ventilatory parameters during one-lung ventilation and two-lung ventilation | Duration of the operation while the esophageal stethoscope is in place, an average of 3 hours |
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Inclusion Criteria:
Patients scheduled for either:
Exclusion Criteria:
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Patients undergoing the following procedures:
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Allison J Bechtel, MD | Contact | 434.924.2283 | as4sk@hscmail.mcc.virginia | |
| Robert Thiele, MD | Contact | 434.924.2283 | RHT7W@hscmail.mcc.virginia.edu |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Virginia | Recruiting | Charlottesville | Virginia | 22908 | United States |
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| ID | Term |
|---|---|
| D012135 | Respiratory Sounds |
| ID | Term |
|---|---|
| D012818 | Signs and Symptoms, Respiratory |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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