BACKGROUND: Accurate survival prediction is essential for decision-making in cancer therapies and care planning. Objective physiologic measures may improve the accuracy of prognostication. In this prospective study, the authors determined the association of phase angle, handgrip strength, and maximal inspiratory pressure with overall survival in patients with advanced cancer. METHODS: Hospitalized patients with advanced cancer who were seen by palliative care specialists for consultation were enrolled. Information regarding phase angle, handgrip strength, maximal inspiratory pressure, and known prognostic factors including the Palliative Prognostic Score, Palliative Prognostic Index, serum albumin, and body composition was collected. Univariate and multivariate survival analysis were performed, and the correlation between phase angle and other prognostic variables was examined. RESULTS: A total of 222 patients were enrolled. The average age of the patients was 55 years (range, 22 years-79 years); 59% of the patients were female, with a mean Karnofsky performance status of 55 and a median overall survival of 106 days (95% confidence interval [95% CI], 71 days-128 days). The median survival for patients with phase angle 2 to 2.9°, 3 to 3.9°, 4 to 4.9°, 5 to 5.9° and ≥ 6° was 35 days, 54 days, 112 days, 134 days, and 220 days, respectively (P = .001). On multivariate analysis, phase angle (hazards ratio [HR], 0.86-per degree increase; 95% CI, 0.74-0.99 increase [P = .04]), Palliative Prognostic Score (HR, 1.07; 95% CI, 1.02-1.13 [P = .008]), serum albumin (HR, 0.67; 95% CI, 0.50-0.91 [P = .009]), and fat-free mass (HR, 0.98; 95% CI, 0.96-0.99 [P = .02]) were found to be significantly associated with survival. Phase angle was found to be only weakly (γ < 0.4) associated with other prognostic variables. CONCLUSIONS: Phase angle was found to be a novel predictor of poor survival, independent of established prognostic factors, in the advanced cancer setting. This objective and noninvasive tool may be useful for bedside prognostication.
BACKGROUND: Accurate survival prediction is essential for decision-making in cancer therapies and care planning. Objective physiologic measures may improve the accuracy of prognostication. In this prospective study, the authors determined the association of phase angle, handgrip strength, and maximal inspiratory pressure with overall survival in patients with advanced cancer. METHODS: Hospitalized patients with advanced cancer who were seen by palliative care specialists for consultation were enrolled. Information regarding phase angle, handgrip strength, maximal inspiratory pressure, and known prognostic factors including the Palliative Prognostic Score, Palliative Prognostic Index, serum albumin, and body composition was collected. Univariate and multivariate survival analysis were performed, and the correlation between phase angle and other prognostic variables was examined. RESULTS: A total of 222 patients were enrolled. The average age of the patients was 55 years (range, 22 years-79 years); 59% of the patients were female, with a mean Karnofsky performance status of 55 and a median overall survival of 106 days (95% confidence interval [95% CI], 71 days-128 days). The median survival for patients with phase angle 2 to 2.9°, 3 to 3.9°, 4 to 4.9°, 5 to 5.9° and ≥ 6° was 35 days, 54 days, 112 days, 134 days, and 220 days, respectively (P = .001). On multivariate analysis, phase angle (hazards ratio [HR], 0.86-per degree increase; 95% CI, 0.74-0.99 increase [P = .04]), Palliative Prognostic Score (HR, 1.07; 95% CI, 1.02-1.13 [P = .008]), serum albumin (HR, 0.67; 95% CI, 0.50-0.91 [P = .009]), and fat-free mass (HR, 0.98; 95% CI, 0.96-0.99 [P = .02]) were found to be significantly associated with survival. Phase angle was found to be only weakly (γ < 0.4) associated with other prognostic variables. CONCLUSIONS: Phase angle was found to be a novel predictor of poor survival, independent of established prognostic factors, in the advanced cancer setting. This objective and noninvasive tool may be useful for bedside prognostication.
Authors: Digant Gupta; Carolyn A Lammersfeld; Jessica L Burrows; Sadie L Dahlk; Pankaj G Vashi; James F Grutsch; Sara Hoffman; Christopher G Lis Journal: Am J Clin Nutr Date: 2004-12 Impact factor: 7.045
Authors: F de Blasio; M G Santaniello; F de Blasio; G Mazzarella; A Bianco; L Lionetti; F M E Franssen; L Scalfi Journal: Eur J Clin Nutr Date: 2017-09-13 Impact factor: 4.016