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Original Research

Predictors of Mortality in Patients with COPD and Chronic Respiratory Failure: The Quality-of-Life Evaluation and Survival Study (QuESS): A Three-Year Study

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Figures & data

Table 1.  Principal baseline characteristics of the 221 subjects at enrollment; 198 were on LTOT and 23 on LTOT+ HMV

Table 2.  Baseline predictors of mortality: univariate approach

Figure 1.  Survival curves of patients with chronic respiratory failure stratified for age; “More impaired” and “less impaired” subgroups were identified according to cut-off points of the ROC analysis. “More impaired” patients (dashed lines) presented a higher mortality than “less impaired” patients (continuous lines). P-value was calculated using the Log-Rank test. Older people (age > 67 yrs; n = 132) showed a trend in reduced survival; however, this was not statistically different with less older people (age ≤ 67 yr; n = 89), p = 0.178.

Figure 1.  Survival curves of patients with chronic respiratory failure stratified for age; “More impaired” and “less impaired” subgroups were identified according to cut-off points of the ROC analysis. “More impaired” patients (dashed lines) presented a higher mortality than “less impaired” patients (continuous lines). P-value was calculated using the Log-Rank test. Older people (age > 67 yrs; n = 132) showed a trend in reduced survival; however, this was not statistically different with less older people (age ≤ 67 yr; n = 89), p = 0.178.

Figure 2.  Survival curves of patients with chronic respiratory failure stratified for Oxygen flow at rest. “More impaired” and “less impaired” subgroups were identified according to cut-off points of the ROC analysis. “More impaired” patients (dashed lines) presented a higher mortality than “less impaired” patients (continuous lines). P-value was calculated using the Log-Rank test. Patients who used more than 1.75 L/min. of oxygen at rest (n = 112) had a higher mortality rate in comparison to patients who used less oxygen (≤1.75 L/min; n = 97), p = 0.001.

Figure 2.  Survival curves of patients with chronic respiratory failure stratified for Oxygen flow at rest. “More impaired” and “less impaired” subgroups were identified according to cut-off points of the ROC analysis. “More impaired” patients (dashed lines) presented a higher mortality than “less impaired” patients (continuous lines). P-value was calculated using the Log-Rank test. Patients who used more than 1.75 L/min. of oxygen at rest (n = 112) had a higher mortality rate in comparison to patients who used less oxygen (≤1.75 L/min; n = 97), p = 0.001.

Figure 3.  Survival curves of patients with chronic respiratory failure stratified for SGRQ total score. “More impaired” and “less impaired” subgroups were identified according to cut-off points of the ROC analysis. “More impaired” patients (dashed lines) presented a higher mortality than “less impaired” patients (continuous lines). P-value was calculated using the Log-Rank test. Patients with poorer health status (SGRQ Tot > 61.5; n = 76) had a higher mortality rate in comparison to patients who had a better health status (SGRQ Tot ≤ 61.5; n = 141), p = 0.001.

Figure 3.  Survival curves of patients with chronic respiratory failure stratified for SGRQ total score. “More impaired” and “less impaired” subgroups were identified according to cut-off points of the ROC analysis. “More impaired” patients (dashed lines) presented a higher mortality than “less impaired” patients (continuous lines). P-value was calculated using the Log-Rank test. Patients with poorer health status (SGRQ Tot > 61.5; n = 76) had a higher mortality rate in comparison to patients who had a better health status (SGRQ Tot ≤ 61.5; n = 141), p = 0.001.

Figure 4.  Survival curves of patients with chronic respiratory failure stratified for MRF26 total score. “More impaired” and “less impaired” subgroups were identified according to cut-off points of the ROC analysis. “More impaired” patients (dashed lines) presented a higher mortality than “less impaired” patients (continuous lines). P-value was calculated using the Log-Rank test. Patients with poorer health status (MRF-26 Tot > 40.4; n = 118) had a higher mortality rate in comparison to patients who had a better health status (MRF-26 Tot ≤ 40.4; n = 103), p = 0.019.

Figure 4.  Survival curves of patients with chronic respiratory failure stratified for MRF26 total score. “More impaired” and “less impaired” subgroups were identified according to cut-off points of the ROC analysis. “More impaired” patients (dashed lines) presented a higher mortality than “less impaired” patients (continuous lines). P-value was calculated using the Log-Rank test. Patients with poorer health status (MRF-26 Tot > 40.4; n = 118) had a higher mortality rate in comparison to patients who had a better health status (MRF-26 Tot ≤ 40.4; n = 103), p = 0.019.

Table 3.  Hazard ratios and 95% confidence intervals from Cox models for all-cause mortality

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