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Original Research

Prediction of severe acute exacerbation using changes in breathing pattern of COPD patients on home noninvasive ventilation

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Pages 2577-2586 | Published online: 27 Aug 2018

Figures & data

Table 1 Population characteristics (data reported as mean or median with SD or interquartile range where appropriate)

Figure 1 Study flow chart.

Abbreviation: NIV, noninvasive ventilation.
Figure 1 Study flow chart.

Table 2 Vital observations, arterial blood gas, and venous sample at admission for patients with severe AECOPD (n=21)

Table 3 Comparison of mean and SD values over the 10 days prior to admission in the stable group and in the group with severe AECOPD

Figure 2 Change in the 10 days preceding admission (A) change in respiratory rate, (B) change in daily compliance, (C) change in triggered breath, (D) change in tidal volume on NIV, (E) change in unintentionnal leaks, (F) change in residual events (mean value per day for each parameter).

Abbreviations: AECOPD, acute exacerbation of COPD; NIV, noninvasive ventilation.
Figure 2 Change in the 10 days preceding admission (A) change in respiratory rate, (B) change in daily compliance, (C) change in triggered breath, (D) change in tidal volume on NIV, (E) change in unintentionnal leaks, (F) change in residual events (mean value per day for each parameter).

Table 4 Performance of parameters recorded by ventilator to predict severe AECOPD

Figure 3 Receiving operator curves for the prediction of admission for AECOPD for each ventilator parameter according to methods A, B, C, and D.

Figure 3 Receiving operator curves for the prediction of admission for AECOPD for each ventilator parameter according to methods A, B, C, and D.
Figure 3 Receiving operator curves for the prediction of admission for AECOPD for each ventilator parameter according to methods A, B, C, and D.