Related Articles

Respiratory diseases in children are a common reason for physician visits. A diagnostic difficulty arises when parents hear wheezing that is no longer present during the medical consultation. Thus, an outpatient objective tool for recognition of wheezing is of clinical value.

METHOD: We developed a wheezing recognition algorithm from recorded respiratory sounds with a Smartphone placed near the mouth. A total of 186 recordings were obtained in a pediatric emergency department, mostly in toddlers (mean age 20 months). After exclusion of recordings with artefacts and those with a single clinical operator auscultation, 95 recordings with the agreement of two operators on auscultation diagnosis (27 with wheezing and 68 without) were subjected to a two phase algorithm (signal analysis and pattern classifier using machine learning algorithms) to classify records.

RESULTS: The best performance (71.4% sensitivity and 88.9% specificity) was observed with a Support Vector Machine-based algorithm. We further tested the algorithm over a set of 39 recordings having a single operator and found a fair agreement (kappa=0.28, CI95% [0.12, 0.45]) between the algorithm and the operator.

CONCLUSIONS: The main advantage of such an algorithm is its use in contact-free sound recording, thus valuable in the pediatric population.

Related Articles

Respiratory diseases represent a significant impact on health care. A cross-sectional, multicountry (India, Korea, Malaysia, Singapore, Taiwan, and Thailand) observational study was conducted to investigate the proportion of adult patients who received care for a primary diagnosis of asthma, allergic rhinitis (AR), chronic obstructive pulmonary disease (COPD), or rhinosinusitis.

OBJECTIVE: To determine the proportion of patients who received care for asthma, AR, COPD, and rhinosinusitis, and the frequency and main symptoms reported.
METHODS: Patients ages greater than or equal to 18 years, who presented to a physician with symptoms that met the diagnostic criteria for a primary diagnosis of asthma, AR, COPD, or rhinosinusitis were enrolled. Patients and physicians completed a survey that contained questions related to demographics and respiratory symptoms.

RESULTS: A total of 13,902 patients with a respiratory disorder were screened, of whom 7030 were eligible and 5250 enrolled. The highest percentage of patients who received care had a primary diagnosis of AR (14.0% [95% confidence interval {CI}, 13.4 -14.6%]), followed by asthma (13.5% [95% CI, 12.9 -14.1%]), rhinosinusitis (5.4% [95% CI, 4.6 -5.3%]), and COPD (4.9% [95% CI, 5.0 -5.7%]). Patients with a primary diagnosis of COPD (73%), followed by asthma (61%), rhinosinusitis (59%), and AR (47%) most frequently reported cough as a symptom. Cough was the main reason for seeking medical care among patients with a primary diagnosis of COPD (43%), asthma (33%), rhinosinusitis (13%), and AR (11%).

CONCLUSION: Asthma, AR, COPD, and rhinosinusitis represent a significant proportion of respiratory disorders in patients who presented to health care professionals in the Asia-Pacific region, many with concomitant disease. Cough was a prominent symptom and the major reason for patients with respiratory diseases to seek medical care.

Publication date: Available online 20 January 2016 Source:The Lancet Respiratory Medicine Author(s): Talha Khan Burki (Source: The Lancet Respiratory Medicine)

Conclusions Hospital admissions for infants with bronchiolitis have increased substantially in recent years. However, cases requiring intensive care have changed little since 2004. (Source: Archives of Disease in Childhood)