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Original Research

Validation of COPDPredict™: Unique Combination of Remote Monitoring and Exacerbation Prediction to Support Preventative Management of COPD Exacerbations

ORCID Icon, ORCID Icon, , &
Pages 1887-1899 | Published online: 21 Jun 2021

Figures & data

Figure 1 Study flowchart total number of patients screened and included/excluded for the study. This image is the property of the author.

Figure 1 Study flowchart total number of patients screened and included/excluded for the study. This image is the property of the author.

Figure 2 (A) Screenshot of the COPDPredict™ Wellbeing self-assessment opening screen. (B) Screenshot of the first page of the Wellbeing self-assessment Both images are the property of the author.

Figure 2 (A) Screenshot of the COPDPredict™ Wellbeing self-assessment opening screen. (B) Screenshot of the first page of the Wellbeing self-assessment Both images are the property of the author.

Table 1 Patient Characteristics at Enrolment (n = 90)

Table 2 Characteristics of the Different Patient Cohorts: Non-Exacerbators and Exacerbators (n = 90)

Table 3 Characteristics of Single (n=52) and the Re-Exacerbator Cohort (n=28)

Figure 3 Sensitivity and specificity of the exacerbation prediction algorithm.

Notes: AECOPD: acute exacerbation of chronic obstructive pulmonary disease, *failure to enter a wellbeing score or perform spirometry; **AECOPD during 2-week baseline phase. The sensitivity and specificity percentages are highlighted in bold. This image is the property of the author.
Figure 3 Sensitivity and specificity of the exacerbation prediction algorithm.