Literature DB >> 33829322

Domiciliary Cough Monitoring for the Prediction of COPD Exacerbations.

Michael G Crooks1,2, Albertus C den Brinker3, Susannah Thackray-Nocera4, Ralph van Dinther3, Caroline E Wright4, Alyn H Morice4.   

Abstract

INTRODUCTION: Acute exacerbations of COPD (AE-COPD) are a leading cause of health service utilisation and are associated with morbidity and mortality. Identifying the prodrome of AE-COPD by monitoring symptoms and physiological parameters (telemonitoring) has proven disappointing and false alerts limit clinical utility. We report objective monitoring of cough counts around AE-COPD and the performance of a novel alert system identifying meaningful change in cough frequency.
METHODS: This prospective longitudinal study of cough monitoring included chronic obstructive pulmonary disease (COPD) patients experienced in telemonitoring that had two or more AE-COPD in the past year. Participants underwent cough monitoring and completed a daily questionnaire for 90 days. The automated system identified deteriorating trends in cough and this was compared with alerts generated by an established telemonitoring questionnaire.
RESULTS: 28 patients [median age 66 (range 46-86), mean FEV-1% predicted 36% (SD 18%)] completed the study and had a total of 58 exacerbations (43 moderate and 15 severe). Alerts based on cough monitoring were generated mean 3.4 days before 45% of AE-COPD with one false alert every 100 days. In contrast, questionnaire-based alerts occurred in the prodrome of 88% of AE-COPD with one false alert every 10 days.
CONCLUSION: An alert system based on cough frequency alone predicted 45% AE-COPD; the low false alert rate with cough monitoring suggests it is a practical and clinically relevant tool. In contrast, the utility of questionnaire-based symptom monitoring is limited by frequent false alerts.

Entities:  

Keywords:  COPD; Chronic obstructive pulmonary disease; Cough; Exacerbation; Telehealth

Year:  2021        PMID: 33829322     DOI: 10.1007/s00408-021-00435-9

Source DB:  PubMed          Journal:  Lung        ISSN: 0341-2040            Impact factor:   2.584


  3 in total

1.  Longitudinal passive cough monitoring and its implications for detecting changes in clinical status.

Authors:  Juan C Gabaldón-Figueira; Eric Keen; Matthew Rudd; Virginia Orrilo; Isabel Blavia; Juliane Chaccour; Mindaugas Galvosas; Peter Small; Simon Grandjean Lapierre; Carlos Chaccour
Journal:  ERJ Open Res       Date:  2022-05-16

2.  Early COPD Risk Decision for Adults Aged From 40 to 79 Years Based on Lung Radiomics Features.

Authors:  Yingjian Yang; Wei Li; Yingwei Guo; Yang Liu; Qiang Li; Kai Yang; Shicong Wang; Nanrong Zeng; Wenxin Duan; Ziran Chen; Huai Chen; Xian Li; Wei Zhao; Rongchang Chen; Yan Kang
Journal:  Front Med (Lausanne)       Date:  2022-04-21

3.  LUNG Year in Review: 2021.

Authors:  Peter V Dicpinigaitis
Journal:  Lung       Date:  2022-01-18       Impact factor: 3.777

  3 in total

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