Prognostic Validation of the Body Mass Index, Airflow Obstruction, Dyspnea, and Exercise Capacity (BODE) Index in Inoperable Non–Small-Cell Lung Cancer
To investigate the prognostic utility of the body mass index, severity of airflow obstruction, measures of exertional dyspnea, and exercise capacity (BODE) index in patients with inoperable non–small-cell lung cancer (NSCLC). One hundred consecutive patients with inoperable NSCLC and performance sta...
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Veröffentlicht in: | Journal of thoracic oncology 2013-12, Vol.8 (12), p.1545-1550 |
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Sprache: | eng |
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Zusammenfassung: | To investigate the prognostic utility of the body mass index, severity of airflow obstruction, measures of exertional dyspnea, and exercise capacity (BODE) index in patients with inoperable non–small-cell lung cancer (NSCLC).
One hundred consecutive patients with inoperable NSCLC and performance status 0 to 3 completed pulmonary function testing, the modified Medical Research Council dyspnea scale, a 6-minute walk test, and body mass index—the multidimensional 10-point BODE index. Cox proportional models were used to estimate the risk of all-cause mortality according to the BODE index with or without adjustment for traditional prognostic factors.
Median follow-up was 31.5 months; 61 deaths (61%) were reported during this period. There was a significant univariate association between the BODE index score and mortality (adjusted ptrend = 0.027). Compared with patients with a BODE index of 0, the adjusted hazard ratio for risk of death was 1.37 (95% confidence interval [CI], 0.74–2.55) for a BODE index of 1, 1.22 (95% CI, 0.45–3.25) for a BODE index of 2, and 2.44 (95% CI, 1.19–4.99) for a BODE index more than 2. The BODE index provided incremental prognostic information beyond that provided traditional markers of prognosis (adjusted ptrend = 0.051). Every one-point increase in the BODE index, the risk of death increased by 25% (hazard ratio = 1.25; 95% CI, 1.27–4.64).
The BODE index is a strong independent predictor of survival in inoperable NSCLC beyond traditional risk factors. Use of this multidimensional tool may improve risk stratification and prognostication in NSCLC. |
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ISSN: | 1556-0864 1556-1380 |
DOI: | 10.1097/JTO.0000000000000032 |