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Original Research

Using the BODE Index and Comorbidities to Predict Health Utilization Resources in Chronic Obstructive Pulmonary Disease

ORCID Icon, , , , , ORCID Icon & show all
Pages 389-395 | Published online: 19 Feb 2020

Figures & data

Figure 1 Flow chart of participant selection in this study.

Figure 1 Flow chart of participant selection in this study.

Table 1 Baseline Characteristics of COPD Patients Included in the Study (n=396)

Figure 2 Line of positive correlation between BODE quartiles and Charlson comorbidity index (p < 0.001).

Notes: Post hoc comparison with Scheffé’s method for significant difference between BODE quartile 1 and quartile 4 (p = 0.024).
Figure 2 Line of positive correlation between BODE quartiles and Charlson comorbidity index (p < 0.001).

Figure 3 Hospitalization expenses by BODE quartiles for the high CCI and low CCI groups. Patients with high CCI level had higher hospitalization expenses than those with low CCI level after adjusting for BODE quartiles (p < 0.001).

Figure 3 Hospitalization expenses by BODE quartiles for the high CCI and low CCI groups. Patients with high CCI level had higher hospitalization expenses than those with low CCI level after adjusting for BODE quartiles (p < 0.001).

Figure 4 Non-linear trend of number of outpatient visits by BODE quartiles (p = 0.462).

Figure 4 Non-linear trend of number of outpatient visits by BODE quartiles (p = 0.462).

Figure 5 Linear trend of number of hospitalizations by BODE quartile (p < 0.001).

Notes: The relation among BODE quartiles by number of hospitalizations after post hoc comparison with Scheffé’s method is BODE quartile 1 = quartile 2 < quartile 3 < quartile 4.
Figure 5 Linear trend of number of hospitalizations by BODE quartile (p < 0.001).

Figure 6 Linear trend of length of hospital stay by BODE quartile (p < 0.001).

Notes: The relation among BODE quartiles for length of hospital stay after post hoc comparison with Scheffeé’s method is BODE quartile 1 = quartile 2 < quartile 3 < quartile 4.
Figure 6 Linear trend of length of hospital stay by BODE quartile (p < 0.001).

Figure 7 Non-linear trend of outpatient expenses by BODE quartile (p = 0.532).

Figure 7 Non-linear trend of outpatient expenses by BODE quartile (p = 0.532).

Figure 8 Relation between BODE quartiles and hospitalization. Overall p-value is marginally significant (p = 0.047) after multiple comparisons.

Figure 8 Relation between BODE quartiles and hospitalization. Overall p-value is marginally significant (p = 0.047) after multiple comparisons.

Figure 9 This shows linear trend among BODE quartiles with total medical expenses (p = 0.024).

Figure 9 This shows linear trend among BODE quartiles with total medical expenses (p = 0.024).