Frailty in the Elderly Oncological and Oncohematological Patient. (SALICE)
Impatto Della Diagnosi di fragilità Sulla tossicità da Terapia in Pazienti Anziani Affetti da Tumore oncoLogIco e onCoEmatologico.
The Italian population is progressively aging, and cancer incidence increases with age. Older patients are at higher risk of frailty, a condition associated with adverse outcomes such as disability, falls, hospitalization, and mortality.
Key indicators of frailty include reduced balance, impaired physical activity, cognitive decline, and particularly sarcopenia, defined as the progressive loss of skeletal muscle mass and strength. After age 60, muscle mass decreases by 1.4-2.5% annually, while muscle strength declines by 15% between ages 60-70 and by up to 30% per decade thereafter.
Sarcopenia increases the risk of falls, fractures, hospitalization, and non-cancer-related death. In cancer patients, its prevalence ranges from 11% to 74% and is associated with poorer survival outcomes in both early and advanced disease stages.In clinical oncology practice, several tools are available to assess frailty, identify vulnerable patients, and personalize care, treatment, and supportive interventions.
Panoramica dello studio
Stato
Intervento / Trattamento
Tipo di studio
Iscrizione (Stimato)
Contatti e Sedi
Luoghi di studio
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Italy
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Legnano, Italy, Italia, 20025
- Trial Office-ASST Ovest Milanese
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Criteri di partecipazione
Criteri di ammissibilità
Età idonea allo studio
- Adulto più anziano
Accetta volontari sani
Metodo di campionamento
Popolazione di studio
Descrizione
Inclusion Criteria:
Inclusion criteria for patients with solid tumors:
- Cytological or histological diagnosis of lung cancer or gastrointestinal tract tumors (esophageal, gastric, intestinal, colorectal, pancreatic, and biliary tract cancers), mesothelioma.
- Age ≥ 70 years
- Patients deemed eligible, at the investigator's discretion, for first-line treatment including at least one chemotherapeutic agent
- Previous treatments (e.g., adjuvant therapy) are allowed if completed at least one year prior to randomization
- ECOG performance status 0, 1, or 2
- Written informed consent obtained
Inclusion criteria for patients with hematologic malignancies:
- Cytological or histological diagnosis of multiple myeloma or lymphoma
- Age ≥ 70 years
- Patients deemed eligible, at the investigator's discretion, for first-line systemic treatment
- ECOG performance status 0, 1, 2, or 3
- Written informed consent obtained
Exclusion Criteria:
- Brain metastases (in solid tumors)
- Symptomatic bone lesions (in solid tumors)
- Cardiac disease classified as NYHA class III or IV
- Current or prior prostate or breast cancer receiving hormonal therapy (GnRH agonists or antagonists, androgen inhibitors, estrogen inhibitors)
- Acute leukemia
- Patients with pacemakers or implantable cardioverter-defibrillators (ICD)
Piano di studio
Come è strutturato lo studio?
Dettagli di progettazione
Coorti e interventi
Gruppo / Coorte |
Intervento / Trattamento |
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Frail patients with solid tumors and hematologic malignancies.
This cohort includes frail patients diagnosed with solid tumors or hematologic malignancies, to evaluate the impact of frailty on clinical outcome.
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Evaluation of the frailty impact on the toxicity grade 3-4 in patients undergoing chemotherapy treatment.
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Cosa sta misurando lo studio?
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
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Impact of frailty on grade 3-4 Chemotherapy Toxicity in Patients with Solid and Hematologic Malignancies.
Lasso di tempo: 12 months from screening
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Evaluation of the impact of frailty on the probability of grade 3 or 4 toxicity in patients with solid or hematologic malignancies undergoing chemotherapy treatment. Multidimensional geriatric assessment including: G8 (0-17): ≤14 = frail/vulnerable; >14 = normal. IADL (0-8): higher scores indicate greater independence. CCI: 0-2 = low comorbidity; ≥3 = high comorbidity burden. SPPB (0-12): 10-12 = good, 7-9 = intermediate, ≤6 = poor physical performance. MUST: 0 = low, 1 = medium, ≥2 = high risk of malnutrition. Mini-Cog (0-5): ≥3 = normal cognition; <3 = cognitive impairment. CARG: low, intermediate, or high risk of severe chemotherapy toxicity. MNA: ≥24 = normal; 17-23.5 = at risk of malnutrition; <17 = malnourished. Laboratory tests: routine pre-chemotherapy assessments according to institutional standards. BIA: evaluation of body composition, muscle mass, and phase angle. CT/MRI: assessment of muscle area at L3/L4; sarcopenia defined as <4.8 cm²/m² in women and <6.6 cm²/m² in men |
12 months from screening
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Misure di risultato secondarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
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Correlation of Radiological, Functional, Clinical, and Laboratory Assessments in the Diagnosis of Sarcopenia and Frailty
Lasso di tempo: 12 months from screening
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Evaluation of the concordance between sarcopenia diagnosed through radiological imaging (CT/MRI) and that obtained through a functional assessment (bioelectrical impedance analysis), the correlation between instrumental assessments and clinical parameters (comprehensive geriatric assessment) for the diagnosis of sarcopenia/frailty, and the correlation between laboratory values and clinical-instrumental measures.
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12 months from screening
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Identification of Sarcopenia and Frailty through Clinical Assessment
Lasso di tempo: 12 months from the screening
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Agreement between CT/MRI and BIA for sarcopenia diagnosis and association with geriatric and laboratory parameters. G8 (0-17): ≤14 = frail/vulnerable; >14 = normal. IADL (0-8): higher scores indicate greater independence. CCI: 0-2 = low comorbidity; ≥3 = high comorbidity burden. SPPB (0-12): 10-12 = good, 7-9 = intermediate, ≤6 = poor physical performance. MUST: 0 = low, 1 = medium, ≥2 = high risk of malnutrition. Mini-Cog (0-5): ≥3 = normal cognition; <3 = cognitive impairment. CARG: low, intermediate, or high risk of severe chemotherapy toxicity. MNA: ≥24 = normal; 17-23.5 = at risk of malnutrition; <17 = malnourished. Laboratory tests: routine pre-chemotherapy assessments according to institutional standards. BIA: evaluation of body composition, muscle mass, and phase angle. CT/MRI: assessment of muscle area at L3/L4; sarcopenia defined as <4.8 cm²/m² in women and <6.6 cm²/m² in men. |
12 months from the screening
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Collaboratori e investigatori
Pubblicazioni e link utili
Pubblicazioni generali
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- Prado CM, Baracos VE, McCargar LJ, Reiman T, Mourtzakis M, Tonkin K, Mackey JR, Koski S, Pituskin E, Sawyer MB. Sarcopenia as a determinant of chemotherapy toxicity and time to tumor progression in metastatic breast cancer patients receiving capecitabine treatment. Clin Cancer Res. 2009 Apr 15;15(8):2920-6. doi: 10.1158/1078-0432.CCR-08-2242. Epub 2009 Apr 7.
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- Cespedes Feliciano EM, Lee VS, Prado CM, Meyerhardt JA, Alexeeff S, Kroenke CH, Xiao J, Castillo AL, Caan BJ. Muscle mass at the time of diagnosis of nonmetastatic colon cancer and early discontinuation of chemotherapy, delays, and dose reductions on adjuvant FOLFOX: The C-SCANS study. Cancer. 2017 Dec 15;123(24):4868-4877. doi: 10.1002/cncr.30950. Epub 2017 Sep 7.
- Shachar SS, Deal AM, Weinberg M, Nyrop KA, Williams GR, Nishijima TF, Benbow JM, Muss HB. Skeletal Muscle Measures as Predictors of Toxicity, Hospitalization, and Survival in Patients with Metastatic Breast Cancer Receiving Taxane-Based Chemotherapy. Clin Cancer Res. 2017 Feb 1;23(3):658-665. doi: 10.1158/1078-0432.CCR-16-0940. Epub 2016 Aug 3.
- Wannamethee SG, Atkins JL. Muscle loss and obesity: the health implications of sarcopenia and sarcopenic obesity. Proc Nutr Soc. 2015 Nov;74(4):405-12. doi: 10.1017/S002966511500169X. Epub 2015 Apr 27.
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- Langdon RB, Freeman JA. Pharmacology of retinotectal transmission in the goldfish: effects of nicotinic ligands, strychnine, and kynurenic acid. J Neurosci. 1987 Mar;7(3):760-73. doi: 10.1523/JNEUROSCI.07-03-00760.1987.
- Palumbo A, Bringhen S, Mateos MV, Larocca A, Facon T, Kumar SK, Offidani M, McCarthy P, Evangelista A, Lonial S, Zweegman S, Musto P, Terpos E, Belch A, Hajek R, Ludwig H, Stewart AK, Moreau P, Anderson K, Einsele H, Durie BG, Dimopoulos MA, Landgren O, San Miguel JF, Richardson P, Sonneveld P, Rajkumar SV. Geriatric assessment predicts survival and toxicities in elderly myeloma patients: an International Myeloma Working Group report. Blood. 2015 Mar 26;125(13):2068-74. doi: 10.1182/blood-2014-12-615187. Epub 2015 Jan 27.
- Polverelli N, Tura P, Battipaglia G, Malagola M, Bernardi S, Gandolfi L, Zollner T, Zanaglio C, Farina M, Morello E, Turra A, Mohty M, Russo D. Multidimensional geriatric assessment for elderly hematological patients (>/=60 years) submitted to allogeneic stem cell transplantation. A French-Italian 10-year experience on 228 patients. Bone Marrow Transplant. 2020 Dec;55(12):2224-2233. doi: 10.1038/s41409-020-0934-1. Epub 2020 May 12.
- Fried LP, Ferrucci L, Darer J, Williamson JD, Anderson G. Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. J Gerontol A Biol Sci Med Sci. 2004 Mar;59(3):255-63. doi: 10.1093/gerona/59.3.m255.
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Altri numeri di identificazione dello studio
- 20-2024
- 5159 (Altro identificatore: COMITATO ETICO TERRITORIALE LOMBARDIA 3)
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