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Original Research

Impact Of Peak Oxygen Pulse On Patients With Chronic Obstructive Pulmonary Disease

, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 2543-2551 | Published online: 20 Nov 2019

Figures & data

Table 1 Baseline Characteristics Of The Two Groups

Table 2 Impact Of Peak Oxygen Pulse (O2P) On Exercise Capacity

Table 3 Impact Of Peak Oxygen Pulse (O2P) On Circulatory Parameters

Table 4 Impact Of Peak Oxygen Pulse (O2P) On Ventilatory Parameters

Table 5 Impact Of Peak Oxygen Pulse (O2P) On Dyspnea Score And Health-Related Quality Of Life

Table 6 Impact Of Peak Oxygen Pulse (O2P) On The Number Of Hospitalizations And Emergency Room (ER) Visits In The Following Year After Enrollment

Figure 1 The simple linear regression between peak oxygen pulse (O2P) and anaerobic threshold (AT). The slant line is calculated using least square regression analysis. (p < 0.001; R2 = 0.566; Pearson’s r = 0.756).

Figure 1 The simple linear regression between peak oxygen pulse (O2P) and anaerobic threshold (AT). The slant line is calculated using least square regression analysis. (p < 0.001; R2 = 0.566; Pearson’s r = 0.756).

Figure 2 The simple linear regression between forced expiratory volume in one second (FEV1) and peak oxygen pulse (O2P). The slant line is calculated using least square regression analysis. (p < 0.001; R2 = 0.202; Pearson’s r = 0.461).

Figure 2 The simple linear regression between forced expiratory volume in one second (FEV1) and peak oxygen pulse (O2P). The slant line is calculated using least square regression analysis. (p < 0.001; R2 = 0.202; Pearson’s r = 0.461).