Literature DB >> 31084684

The utility of hand-held mobile spirometer technology in a resource-constrained setting.

E Du Plessis1, F Swart, D Maree, J Heydenreich, J Van Heerden, T M Esterhuizen, E M Irusen, C F N Koegelenberg.   

Abstract

BACKGROUND: Mobile phone-linked spirometry technology has been designed specifically for evaluating lung function at primary care level. The Air-Smart Spirometer is the first mobile spirometer accepted in Europe for the screening of patients with chronic respiratory diseases.
OBJECTIVES: To prospectively assess the accuracy of the device in measuring forced expiratory volume in the first second (FEV1) and forced vital capacity (FVC) in a South African population, and to investigate the ability of the device to detect obstructive ventilatory impairment.
METHODS: A total of 200 participants were randomly assigned to perform spirometry with either the mobile spirometer connected to a smartphone or the desktop spirometer first, followed by the other. The FEV1/FVC ratio as well as the absolute FEV1 and FVC measurements were compared, using each participant as their own control. A Pearson correlation and Bland-Altman analysis were performed to measure the agreement between the two devices. We defined obstructive ventilatory impairment as FEV1/FVC <0.7 measured by desktop spirometry in order to calculate the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the Air-Smart Spirometer.
RESULTS: There was a strong correlation between the absolute FEV1 and FVC values and FEV1/FVC ratio measured with the mobile Air-Smart Spirometer and more conventional pulmonary function testing, with r=0.951, r=0.955 and r=0.898, respectively. The Air-Smart Spirometer had a sensitivity of 97.6%, specificity of 74.4%, PPV of 73.0% and NPV of 97.8% for obstructive ventilatory impairment.
CONCLUSIONS: The mobile Air-Smart Spirometer compared well with conventional spirometry, making it an attractive and potentially affordable tool for screening purposes in a primary care setting. Moreover, it had a high sensitivity and NPV for obstructive ventilatory impairment.

Entities:  

Mesh:

Year:  2019        PMID: 31084684     DOI: 10.7196/SAMJ.2019.v109i4.13845

Source DB:  PubMed          Journal:  S Afr Med J


  6 in total

1.  Biosensors for Personal Mobile Health: A System Architecture Perspective.

Authors:  Siddarth Arumugam; David A M Colburn; Samuel K Sia
Journal:  Adv Mater Technol       Date:  2019-11-20

2.  Validation of the portable Bluetooth® Air Next spirometer in patients with different respiratory diseases.

Authors:  Konstantinos P Exarchos; Athena Gogali; Agni Sioutkou; Christos Chronis; Sofia Peristeri; Konstantinos Kostikas
Journal:  Respir Res       Date:  2020-04-06

3.  A Sensor for Spirometric Feedback in Ventilation Maneuvers during Cardiopulmonary Resuscitation Training.

Authors:  Rodolfo Rocha Vieira Leocádio; Alan Kardek Rêgo Segundo; Cibelle Ferreira Louzada
Journal:  Sensors (Basel)       Date:  2019-11-21       Impact factor: 3.576

Review 4.  Initiating home spirometry for children during the COVID-19 pandemic - A practical guide.

Authors:  C H Richardson; N J Orr; S L Ollosson; S J Irving; I M Balfour-Lynn; S B Carr
Journal:  Paediatr Respir Rev       Date:  2021-02-19       Impact factor: 5.526

5.  Nurses' experiences of using AsthmaTuner - an eHealth self-management system for healthcare of patients with asthma.

Authors:  Katarina Schoultz; Ann Svensson; Maria Emilsson
Journal:  Digit Health       Date:  2022-04-11

Review 6.  Digital Healthcare for Airway Diseases from Personal Environmental Exposure.

Authors:  Youngmok Park; Chanho Lee; Ji Ye Jung
Journal:  Yonsei Med J       Date:  2022-01       Impact factor: 2.759

  6 in total

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