Literature DB >> 18811991

Wheeze detection in the pediatric intensive care unit: comparison among physician, nurses, respiratory therapists, and a computerized respiratory sound monitor.

Parthak Prodhan1, Reynaldo S Dela Rosa, Maria Shubina, Kenan E Haver, Benjamin D Matthews, Sarah Buck, Robert M Kacmarek, Natan N Noviski.   

Abstract

OBJECTIVE: To correlate wheeze detection in the pediatric intensive care unit among staff members (a physician, nurses, and respiratory therapists [RTs]) and digital recordings from a computerized respiratory sound monitor (PulmoTrack).
METHODS: We prospectively studied 11 patients in the pediatric intensive care unit. A physician, nurses, and RTs auscultated the patients and recorded their opinions about the presence of wheeze at baseline and then every hour for 6 hours. The clinician auscultated while the PulmoTrack recorded the lung sounds. The data were analyzed by a technician trained in interpretation of acoustic data and by a panel of experts blinded to the source of the recorded data, who scored all tracks for the presence or absence of wheeze. The degree of correlation among the expert panel, the staff, and the PulmoTrack was evaluated with the Kappa coefficient and McNemar's test. The determinations of the expert panel were taken as the true state (accepted standard).
RESULTS: The PulmoTrack and expert panel were in agreement on detection of wheeze during inspiration, expiration, and the whole breath cycle; in all cases the Kappa coefficients were 0.54, 0.42, and 0.50 respectively. The PulmoTrack was significantly more sensitive than the physician (P = .002), nurses (P < .001), or RTs (P = .001). However, the specificity of the PulmoTrack was not significantly different from that of the physician, nurses, or RTs.
CONCLUSIONS: Between the physician, RTs, and nurses there was agreement about the presence of wheeze in critically ill patients in the pediatric intensive care unit. Compared to the objective acoustic measurements from the PulmoTrack, the intensive care unit staff was similar in their ability to detect the absence of wheeze. The PulmoTrack was better than the staff in detecting wheeze.

Entities:  

Mesh:

Year:  2008        PMID: 18811991

Source DB:  PubMed          Journal:  Respir Care        ISSN: 0020-1324            Impact factor:   2.258


  6 in total

1.  Digital stethoscopes compared to standard auscultation for detecting abnormal paediatric breath sounds.

Authors:  Ajay C Kevat; Anaath Kalirajah; Robert Roseby
Journal:  Eur J Pediatr       Date:  2017-05-16       Impact factor: 3.183

2.  Validation of computerized wheeze detection in young infants during the first months of life.

Authors:  Lia C Puder; Hendrik S Fischer; Silke Wilitzki; Jakob Usemann; Simon Godfrey; Gerd Schmalisch
Journal:  BMC Pediatr       Date:  2014-10-09       Impact factor: 2.125

3.  Wheezes, crackles and rhonchi: simplifying description of lung sounds increases the agreement on their classification: a study of 12 physicians' classification of lung sounds from video recordings.

Authors:  Hasse Melbye; Luis Garcia-Marcos; Paul Brand; Mark Everard; Kostas Priftis; Hans Pasterkamp
Journal:  BMJ Open Respir Res       Date:  2016-04-28

4.  Locating stridor caused by tumor compression by using a multichannel electronic stethoscope: a case report.

Authors:  Fushun Hsu; Cheng-Hung How; Shang-Ran Huang; Yi-Tsun Chen; Jin-Shing Chen; Ho-Tsung Hsin
Journal:  J Clin Monit Comput       Date:  2020-05-09       Impact factor: 2.502

5.  Changes in regional distribution of lung sounds as a function of positive end-expiratory pressure.

Authors:  Shaul Lev; Yael A Glickman; Ilya Kagan; David Dahan; Jonathan Cohen; Milana Grinev; Maury Shapiro; Pierre Singer
Journal:  Crit Care       Date:  2009-05-10       Impact factor: 9.097

6.  Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes.

Authors:  Ajay Kevat; Anaath Kalirajah; Robert Roseby
Journal:  Respir Res       Date:  2020-09-29
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.