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Malignant Melanoma: Direct Costs by Clinical and Pathological Profile

INTRODUCTION: A number of studies have examined the impact of tumor stage on direct health care costs of patients with melanoma. This study aimed to investigate the association between the direct costs for melanoma and the patients’ clinical and histological characteristics. METHODS: The present ana...

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Autores principales: Buja, Alessandra, Rugge, Massimo, De Luca, Giuseppe, Zorzi, Manuel, De Toni, Chiara, Cozzolino, Claudia, Vecchiato, Antonella, Del Fiore, Paolo, Tropea, Saveria, Spina, Romina, Baldo, Vincenzo, Rossi, Carlo Riccardo, Mocellin, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110572/
https://www.ncbi.nlm.nih.gov/pubmed/35426606
http://dx.doi.org/10.1007/s13555-022-00715-z
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author Buja, Alessandra
Rugge, Massimo
De Luca, Giuseppe
Zorzi, Manuel
De Toni, Chiara
Cozzolino, Claudia
Vecchiato, Antonella
Del Fiore, Paolo
Tropea, Saveria
Spina, Romina
Baldo, Vincenzo
Rossi, Carlo Riccardo
Mocellin, Simone
author_facet Buja, Alessandra
Rugge, Massimo
De Luca, Giuseppe
Zorzi, Manuel
De Toni, Chiara
Cozzolino, Claudia
Vecchiato, Antonella
Del Fiore, Paolo
Tropea, Saveria
Spina, Romina
Baldo, Vincenzo
Rossi, Carlo Riccardo
Mocellin, Simone
author_sort Buja, Alessandra
collection PubMed
description INTRODUCTION: A number of studies have examined the impact of tumor stage on direct health care costs of patients with melanoma. This study aimed to investigate the association between the direct costs for melanoma and the patients’ clinical and histological characteristics. METHODS: The present analysis included 1368 patients diagnosed with melanoma in 2017 in the Veneto Region (northeast Italy) and recorded in a regional population-based melanoma registry. The costs were assessed taking monthly and total direct costs into account. Log-linear multivariable analysis was used to identify the clinical and histological cost drivers, focusing on monthly and total direct costs per patient incurred during the first 2 years after a patient’s diagnosis. RESULTS: On multivariable analysis, besides the stage of melanoma, also the presence of mitoses (> 2) was associated with higher monthly direct costs [odds ratio (OR) 1.55, 95% confidence interval (CI) 1.15–2.08, p = 0.004] in respect to cases with 0–2 mitoses. Vertical growth was associated with higher costs compared with radial growth (OR 1.28, 95% CI 1.00–1.64, p = 0.055). Moreover, the association between the absence of tumor-infiltrating lymphocytes (TILs) and higher monthly direct costs reached statistical significance (OR 1.31, 95% CI 1.05–1.64, p = 0.017). There were no differences in monthly direct costs by patients’ sex or age, ulceration, or tumor site. CONCLUSION: This study showed that not only tumor stage but also other clinical and histopathologic characteristics have an impact on the direct monthly and total costs of treating melanoma. Further studies on the cost-effectiveness of the various options for managing this disease should take these variables into account, as well as tumor stage, as cost drivers.
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spelling pubmed-91105722022-05-18 Malignant Melanoma: Direct Costs by Clinical and Pathological Profile Buja, Alessandra Rugge, Massimo De Luca, Giuseppe Zorzi, Manuel De Toni, Chiara Cozzolino, Claudia Vecchiato, Antonella Del Fiore, Paolo Tropea, Saveria Spina, Romina Baldo, Vincenzo Rossi, Carlo Riccardo Mocellin, Simone Dermatol Ther (Heidelb) Original Research INTRODUCTION: A number of studies have examined the impact of tumor stage on direct health care costs of patients with melanoma. This study aimed to investigate the association between the direct costs for melanoma and the patients’ clinical and histological characteristics. METHODS: The present analysis included 1368 patients diagnosed with melanoma in 2017 in the Veneto Region (northeast Italy) and recorded in a regional population-based melanoma registry. The costs were assessed taking monthly and total direct costs into account. Log-linear multivariable analysis was used to identify the clinical and histological cost drivers, focusing on monthly and total direct costs per patient incurred during the first 2 years after a patient’s diagnosis. RESULTS: On multivariable analysis, besides the stage of melanoma, also the presence of mitoses (> 2) was associated with higher monthly direct costs [odds ratio (OR) 1.55, 95% confidence interval (CI) 1.15–2.08, p = 0.004] in respect to cases with 0–2 mitoses. Vertical growth was associated with higher costs compared with radial growth (OR 1.28, 95% CI 1.00–1.64, p = 0.055). Moreover, the association between the absence of tumor-infiltrating lymphocytes (TILs) and higher monthly direct costs reached statistical significance (OR 1.31, 95% CI 1.05–1.64, p = 0.017). There were no differences in monthly direct costs by patients’ sex or age, ulceration, or tumor site. CONCLUSION: This study showed that not only tumor stage but also other clinical and histopathologic characteristics have an impact on the direct monthly and total costs of treating melanoma. Further studies on the cost-effectiveness of the various options for managing this disease should take these variables into account, as well as tumor stage, as cost drivers. Springer Healthcare 2022-04-15 /pmc/articles/PMC9110572/ /pubmed/35426606 http://dx.doi.org/10.1007/s13555-022-00715-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Buja, Alessandra
Rugge, Massimo
De Luca, Giuseppe
Zorzi, Manuel
De Toni, Chiara
Cozzolino, Claudia
Vecchiato, Antonella
Del Fiore, Paolo
Tropea, Saveria
Spina, Romina
Baldo, Vincenzo
Rossi, Carlo Riccardo
Mocellin, Simone
Malignant Melanoma: Direct Costs by Clinical and Pathological Profile
title Malignant Melanoma: Direct Costs by Clinical and Pathological Profile
title_full Malignant Melanoma: Direct Costs by Clinical and Pathological Profile
title_fullStr Malignant Melanoma: Direct Costs by Clinical and Pathological Profile
title_full_unstemmed Malignant Melanoma: Direct Costs by Clinical and Pathological Profile
title_short Malignant Melanoma: Direct Costs by Clinical and Pathological Profile
title_sort malignant melanoma: direct costs by clinical and pathological profile
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110572/
https://www.ncbi.nlm.nih.gov/pubmed/35426606
http://dx.doi.org/10.1007/s13555-022-00715-z
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