| Literature DB >> 32652095 |
Andrew Kouri1, Samir Gupta2, Azadeh Yadollahi3, Clodagh M Ryan4, Andrea S Gershon5, Teresa To6, Susan M Tarlo7, Roger S Goldstein8, Kenneth R Chapman7, Chung-Wai Chow4.
Abstract
To reduce the spread of the severe acute respiratory syndrome coronavirus 2, many pulmonary function testing (PFT) laboratories have been closed or have significantly reduced their testing capacity. Because these mitigation strategies may be necessary for the next 6 to 18 months to prevent recurrent peaks in disease prevalence, fewer objective measurements of lung function will alter the diagnosis and care of patients with chronic respiratory diseases. PFT, which includes spirometry, lung volume, and diffusion capacity measurement, is essential to the diagnosis and management of patients with asthma, COPD, and other chronic lung conditions. Both traditional and innovative alternatives to conventional testing must now be explored. These may include peak expiratory flow devices, electronic portable spirometers, portable exhaled nitric oxide measurement, airwave oscillometry devices, and novel digital health tools such as smartphone microphone spirometers and mobile health technologies along with integration of machine learning approaches. The adoption of some novel approaches may not merely replace but could improve existing management strategies and alter common diagnostic paradigms. With these options comes important technical, privacy, ethical, financial, and medicolegal barriers that must be addressed. However, the coronavirus disease 19 pandemic also presents a unique opportunity to augment conventional testing by including innovative and emerging approaches to measuring lung function remotely in patients with respiratory disease. The benefits of such an approach have the potential to enhance respiratory care and empower patient self-management well beyond the current global pandemic.Entities:
Keywords: COPD; COVID-19 pandemic; SARS-CoV-2; asthma; pulmonary function test; review
Mesh:
Year: 2020 PMID: 32652095 PMCID: PMC7345485 DOI: 10.1016/j.chest.2020.06.065
Source DB: PubMed Journal: Chest ISSN: 0012-3692 Impact factor: 9.410
Summary of Evidence for PFT Alternatives During a Pandemic
| Conventional PFT Alternatives | Potential Uses | Limitations |
|---|---|---|
| Peak expiratory flow measurement | Use in asthma Diagnosis of variable expiratory airflow limitation (diurnal variation, response to therapy, variation between visits) Diagnosis of occupational asthma and work-exacerbated asthma Short- and long-term self-monitoring (ie, use in asthma action plans) Diagnosis, in combination with validated patient questionnaires Prognostication | Results less reliable in children and in patients with very mild or severe airways obstruction; may also be adherence issues, particularly in children but also in adults |
| Portable electronic spirometers | Remote follow-up in patients diagnosed with Asthma COPD Cystic fibrosis Idiopathic pulmonary fibrosis Post-lung and hematopoietic stem cell transplant | Cost, lack of technique feedback, variable accuracy, not suitable for new diagnosis of respiratory conditions—right device-patient match is crucial |
| F | Use in asthma Can be used to support the diagnosis of and the decision to start inhaled corticosteroids in patients with suspected asthma May help differentiate between asthma and COPD in nonsmokers | Cost of portable devices, lack of validation in all asthma phenotypes and other chronic respiratory diseases |
| Airwave oscillometry (portable and in-laboratory) | Use in asthma Assess ICS responsiveness Remote self-monitoring Assess bronchodilator challenge response Identify patients with small airways inflammation Earlier diagnosis in patients with respiratory symptoms Earlier noninvasive detection of acute cellular rejection after lung transplant | Normal reference values lacking, more outcomes evidence needed to validate for long-term use in chronic respiratory diseases |
| Smartphone spirometers | Use in asthma and COPD Pilot studies including patients with COPD and asthma have demonstrated low mean error between smartphone and conventional spirometry results | Larger validation studies are lacking, accuracy of results is uncertain |
| mHealth self-management interventions | Use in asthma Associated with improvement in asthma control and quality of life Associated with decreased hospitalization risk | Limited utility in new diagnosis, requires high digital health literacy |
| Telemonitoring with machine learning | Use in COPD Can help predict early COPD exacerbations | Requires existing telemonitoring program, must be locally validated |
Feno = fraction of exhaled nitric oxide; ICS = inhaled corticosteroid; mHealth = mobile health; PFT = pulmonary function testing.