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Validation of the Modified Glasgow Prognostic Score in Advanced Cancer Patients Receiving Palliative Care
Naitielle de Paula Pantano1, Bianca Sakamoto Ribeiro Paiva1, David Hui2
1Researcher Support Center, Learning and Research Institute, Barretos, São Paulo, Brazil; Palliative Care and Quality of Life Research Group, Post-Graduate Program, Barretos, São Paulo, Brazil.
Context:
The modified Glasgow Prognostic Score (mGPS) is a well-known marker of systemic inflammatory response previously associated with poor prognoses in cancer.
Objectives:
We investigated the relationships between mGPS and clinical variables and the prognostic impact of mGPS in patients with advanced cancer starting palliative care (PC).
Methods:
Data from two prospective studies conducted at a tertiary cancer center were analyzed (N = 459). Data regarding patient characteristics, Karnofsky Performance Status, and blood samples were collected at the initial evaluation. The mGPS was calculated as follows: C-reactive protein (CRP) < 10 mg/L = 0; CRP > 10 mg/L = 1, CRP > 10 mg/L and albumin < 35 g/L = 2. Chi-square or Fisher exact tests were used for comparisons of categorical variables; continuous variables were compared using the Mann-Whitney U test. For the survival analysis, Cox regression analyses were performed.
Results:
mGPS of 0, 1, and 2 were assigned to 79.7%, 6.8%, and 13.5% of the patients, respectively. A positive association between hepatic metastasis (P = 0.004), primary lung cancer (P = 0.021), PC only (P < 0.001), lower Karnofsky Performance Status (P < 0.001), and higher systemic inflammation (mGPS 1/2) was found. Median overall survival was 1, 3, and 5.7 months for mGPS of 2, 1, and 0, respectively. After multivariate analyses, mGPS remained an independent prognostic marker (mGPS 1, hazard ratio 2.066, P = 0.001; mGPS 2, hazard ratio 2.664, P < 0.001).
Conclusion:
Systemic inflammatory response is associated with a low functional status, primary lung cancers, and tumors with hepatic metastasis. When starting PC, an mGPS definition may have clinical utility implications, by identifying three groups of patients with advanced cancer patients with distinct survival outcomes.
