1069PD - Predicting Response Rates of High Grade Non Hodgkin's Lymphoma: A Comparative Study of International Prognostic Index (IPI) with Subjective Global Assessment (SGA)
In Annals of Oncology
By: Ostwal VS.
Contributor(s): Bagayatkar P | Pawaskar P | Thippeswamy R | Sengar M | Menon H | Khattry N | Bagal B | Nair R | Mallath MK.
Material type:
ArticlePublisher: 2012Description: .Subject(s): Subjective global assessment (SGA) | Non Hodgkins Lymphoma (NHL) | SPSS
In:
Annals of Oncology Vol. 23, no. 9, p. ix350.Summary: Introduction:Malnutrition is common in patients with cancer and no study has co-related the effect of malnutrition on outcomes of non Hodgkins Lymphoma (NHL)from India. Besides, there are no studies validating the international prognostic index(IPI) from India. This study was done to compare the prognostic abilities of IPI andsubjective global assessment (SGA) for early outcomes in NHL.
Methods:This is a prospective observational study set in the lymphoma clinic ofTata Memorial Hospital, Mumbai between January to December 2010. All patientswere screened for malnutrition at entry using a modified SGA tool. Baseline clinicalfactors of prognostic importance including IPI scores were recorded. Univariate andmultivariate comparison were made using SPSS or EpiInfo 2000 software.
Results:There were 401 patients with high grade NHL. The analysis of 389 patientswith all information available showed that the IPI scores were low risk, lowintermediate risk, intermediate high risk, high risk in 133 (34.3%), 95 (24.4 %), 91(23.4%) and 70 (17.9 %) patients respectively. The SGA scores were A, B, and C in188 (48.6%), 129 (33.2%) and 72 (18.2 %) patients respectively. Early outcomesincluded CR in 241 (62.6 %), EFS in 73% and overall survival in 81% patients at1-year. Univariate analysis revealed that the SGA scores were significantly associatedwith the IPI variables - age, serum LDH, performance status (ECOG), stage (AnnArbor), extranodal sites as well as hemoglobin, response rates, one year survival anddisease progression. Multivariate analysis revealed that SGA was a highly significantindependent predictor of all early outcome parameters. Some IPI scores lostsignificance in the multivariate model.
Conclusions:The SGA is a highly significant and independent predictive biomarker(for CR) and a prognostic biomarker (for 1-year OS and PFS) with gooddiscriminative function in patients with NHL
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Articles
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Tata Memorial Hospital | Available | AR19878 |
Abstract presented at 37th ESMO Congress Vienna, Austria, 28 September - 2 October 2012
Introduction:Malnutrition is common in patients with cancer and no study has co-related the effect of malnutrition on outcomes of non Hodgkins Lymphoma (NHL)from India. Besides, there are no studies validating the international prognostic index(IPI) from India. This study was done to compare the prognostic abilities of IPI andsubjective global assessment (SGA) for early outcomes in NHL.
Methods:This is a prospective observational study set in the lymphoma clinic ofTata Memorial Hospital, Mumbai between January to December 2010. All patientswere screened for malnutrition at entry using a modified SGA tool. Baseline clinicalfactors of prognostic importance including IPI scores were recorded. Univariate andmultivariate comparison were made using SPSS or EpiInfo 2000 software.
Results:There were 401 patients with high grade NHL. The analysis of 389 patientswith all information available showed that the IPI scores were low risk, lowintermediate risk, intermediate high risk, high risk in 133 (34.3%), 95 (24.4 %), 91(23.4%) and 70 (17.9 %) patients respectively. The SGA scores were A, B, and C in188 (48.6%), 129 (33.2%) and 72 (18.2 %) patients respectively. Early outcomesincluded CR in 241 (62.6 %), EFS in 73% and overall survival in 81% patients at1-year. Univariate analysis revealed that the SGA scores were significantly associatedwith the IPI variables - age, serum LDH, performance status (ECOG), stage (AnnArbor), extranodal sites as well as hemoglobin, response rates, one year survival anddisease progression. Multivariate analysis revealed that SGA was a highly significantindependent predictor of all early outcome parameters. Some IPI scores lostsignificance in the multivariate model.
Conclusions:The SGA is a highly significant and independent predictive biomarker(for CR) and a prognostic biomarker (for 1-year OS and PFS) with gooddiscriminative function in patients with NHL
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