Health & Medicinearticle2026-09-13

Longitudinal health-related quality of life after electrochemotherapy in elderly patients with cutaneous melanoma

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Abstract

The incidence of cutaneous melanoma (CM) is increasing among elderly patients, who often present with advanced disease, including cutaneous metastases. Electrochemotherapy (ECT) is a local ablative treatment that enhances chemotherapy uptake via electric pulses. Management in patients aged ≥ 65 years is challenging because of frailty, comorbidities, and reduced tolerance to systemic therapy. Health-related quality of life (HRQoL) is an important treatment outcome, and shared decision-making (SDM) may help align treatment choices with patients’ preferences, values, and expectations. We aimed to evaluate longitudinal changes in EQ-5D utility scores in elderly patients with CM skin metastases treated with ECT and to identify clinical and patient-related factors associated with HRQoL. Methods HRQoL was assessed using the EQ-5D at baseline and during follow-up after ECT. Utility scores were analyzed over time, and associations with demographic and clinical variableswere examined. Predicted trajectory curves were developed to visualize the predicted trajectories of utility scores. Significant time interactions were observed for age (p = 0.009), baseline utility (p < 0.001), largest nodule diameter (p = 0.017), lesion site (p = 0.003), and sex (p = 0.012), indicating heterogeneous HRQoL trajectories. Lower baseline utility was associated with greater improvement (p < 0.001), whereas higher baseline utility, particularly in older patients, showed minimal change or slight early decline. Larger nodules and certain lesion sites were linked to poorer outcomes. Sex differences were modest, with females showing slightly less favorable early but more favorable later changes. Predicted trajectory curves enabled stratification of expected HRQoL trajectories. Longitudinal HRQoL trajectories following ECT in elderly patients with CM varied according to baseline HRQoL and patient characteristics. These findings identify candidate predictors for future individualized prediction models but should be considered hypothesis-generating. Prospective studies with external validation are needed to confirm their clinical utility and potential role in patient-centered treatment planning.

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View paper (DOI)Open access versionOpenAlexScientific ReportsPublished 2026-09-13

Authors: B. Perić, T. Kosuta, S. Milicevic, M. Omerzel, M. Tolstrup, Rebecca Jones, AJP Clover, E. Kis, C. Kunte, H. Nassabi, T. Muir, A. Mackenzie Ross, P. Matteucci, S. Kumar, J. Odili, G. Giorgione, G. Bertino, M. Mascherini, F. Russano, D. Mowatt, S. Carpenè, F. Tauceri, M. Brizio, V. Seccia, G. Riva, S. Chiodi, G. Colavitti, F. de Terlizzi, R. Blagus, G. Serša

Institutions: University of Copenhagen, Policlinico San Matteo Fondazione, University of Szeged, Guy's and St Thomas' NHS Foundation Trust, Institute for Medical Informatics and Biostatistics, University of Pavia, University of Turin, Università degli Studi del Piemonte Orientale “Amedeo Avogadro”, University of Ljubljana, North Bristol NHS Trust, Southmead Hospital, Ospedale Policlinico San Martino, Zealand University Hospital, Ente Ospedaliero Ospedali Galliera, Leeds Teaching Hospitals NHS Trust, SRH Wald-Klinikum Gera, Cork University Hospital, University of Hull, Azienda Ospedaliera Universitaria Pisana, München Klinik, St George’s University Hospitals NHS Foundation Trust, James Cook University Hospital, University of Primorska, Istituto Oncologico Veneto, Community Health Centre Ljubljana, Ospedale G.B. Morgagni - L.Pierantoni, Institute of Oncology Ljubljana, Queen Victoria Hospital, The Christie Hospital, Ospedale di Mirano, IGEA Clinical Biophysics (Italy)