Literature DB >> 23575969

Optimization of the systemic inflammation-based Glasgow prognostic score: a Glasgow Inflammation Outcome Study.

Michael J Proctor1, Paul G Horgan, Dinesh Talwar, Colin D Fletcher, David S Morrison, Donald C McMillan.   

Abstract

BACKGROUND: The modified Glasgow Prognostic Score (mGPS), an inflammation-based prognostic score that uses thresholds of C-reactive protein (> 10 mg/L) and albumin (< 35 g/L), has been found to be independently prognostic of survival in patients with cancer. The objective of the current study was to establish whether the addition of a differential leukocyte count and a high-sensitivity C-reactive protein measurement enhanced the prognostic value of the mGPS.
METHODS: A total of 12,119 patients who had an incidental blood sample taken between 2000 and 2007 for C-reactive protein, albumin, and a differential leukocyte count as well as a diagnosis of cancer made within 2 years were identified. This group was studied for the prognostic value of neutrophil, lymphocyte, and platelet counts. In addition 2742 patients whose blood was sampled after the introduction of high-sensitivity C-reactive protein measurements were studied for the prognostic value of different thresholds.
RESULTS: Using cancer-specific survival as an endpoint, the prognostic value of the mGPS (hazard ratio [HR], 2.61; P < .001 [area under the receiver operating characteristic curve (AUC), 0.695]) was found to be improved by the addition of neutrophil and platelet counts (HR, 4.86; P < .001 [AUC, 0.734]) and a high-sensitivity C-reactive protein measurement (> 3 mg/L) (HR, 5.77; P < .001 [AUC, 0.734]).
CONCLUSIONS: The results of the current study demonstrate that the addition of neutrophil and platelet counts, as well as a high-sensitivity C-reactive protein measurement, enhanced the prognostic value of the mGPS.
Copyright © 2013 American Cancer Society.

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Year:  2013        PMID: 23575969     DOI: 10.1002/cncr.28018

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


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