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Outcomes in older patients with Hodgkin lymphoma (HL) are compromised by the interplay of patient frailty and disease aggressiveness; however, current stratification tools, including the International Prognostic Score (IPS) and Comprehensive Geriatric Assessment (CGA), lack sufficient prognostic discrimination in the older HL population. We developed and validated a prognostic model integrating metabolic tumor burden and geriatric assessment. In this retrospective study across 14 centers in China between 2006 and 2024, we enrolled 306 patients aged ≥ 60 years with histologically confirmed HL. Patients were randomly partitioned into training (n = 250) and validation (n = 56) cohorts. Among the 306 patients, 98 deaths and 130 progression events were recorded during follow-up. We analyzed 21 candidate variables. The least absolute shrinkage and selection operator (LASSO) analysis and multivariable Cox regression identified five independent predictors for 5-year overall survival (OS): age > 73 years, baseline 18F-FDG PET/CT-derived total lesion glycolysis (TLG) > 200, hemoglobin ≤ 101 g/L, activities of daily living (ADL) dependence, and lymphocyte-depleted classical Hodgkin lymphoma (LDCHL). A weighted Geriatric Risk Score stratified patients into low-, intermediate-, and high-risk groups. In the validation cohort, the Geriatric Risk Score showed higher discriminatory accuracy than the CGA for both OS (C-index, 0.770 [95% CI, 0.674-0.867] vs. 0.671 [0.581-0.762]) and PFS (0.761 [0.668-0.853] vs. 0.635 [0.535-0.735]). Among advanced-stage (Ann Arbor stage III-IV) patients, it also outperformed the IPS-7 and IPS-3. By integrating metabolic tumor burden and geriatric assessment, the Geriatric Risk Score improves risk stratification over existing tools in older patients with HL.

Abstract: PubMed · Datensatz