Healthcare cost by primary tumour, functioning status and treatment among patients with metastatic neuroendocrine tumours: The LyREMeNET study.


Journal

Journal of neuroendocrinology
ISSN: 1365-2826
Titre abrégé: J Neuroendocrinol
Pays: United States
ID NLM: 8913461

Informations de publication

Date de publication:
04 2022
Historique:
revised: 04 12 2021
received: 29 07 2021
accepted: 11 01 2022
pubmed: 26 1 2022
medline: 28 4 2022
entrez: 25 1 2022
Statut: ppublish

Résumé

The annual prevalence of metastatic neuroendocrine tumours (mNETs) is rising, leading to significant healthcare costs. The present study aimed to describe healthcare resource use (HRU) and the corresponding costs among patients with mNETs, according to primary tumour location, functioning status and type of treatments. The LyREMeNET study included consecutive mNET patients with a diagnosis performed between January 2010 and December 2017, who were seen at least once in the ENETS center of excellence in Lyon. The median HRU and costs per patient were estimated, up to 3 years before and after the diagnosis. The Cancer database of the center was linked to the French national health data system. HRU and related costs were described per person per month (PPPM). Among 316 patients presenting with a mNET, 48.4% had a small-intestinal mNET, 32.3% had a pancreatic mNET and 39.2% had carcinoid syndrome. The mean overall cost increased from €615 to €2875 PPPM between the years preceding and following the diagnosis, and remained above €2500 in the two subsequent years. The two main cost drivers of total healthcare expenditure were drugs (€1161) and hospital stay (€662). Median costs of mNETs arising from pancreas and small intestine were €2325 and €2540 PPPM, respectively. Costs were higher in patients with a functional mNET (€2807 PPPM for carcinoid syndrome) and during peptide receptor radionuclide therapy (PRRT) (€8835 PPPM). The highest overall cost was found during the first year following the diagnosis. Cost of care was higher for small intestine mNETs, for functional mNETs and during peptide receptor radionuclide therapy.

Identifiants

pubmed: 35078272
doi: 10.1111/jne.13092
doi:

Substances chimiques

Radioisotopes 0
Receptors, Peptide 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13092

Informations de copyright

© 2022 British Society for Neuroendocrinology.

Références

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Auteurs

Marine Perrier (M)

Service de Gastroentérologie et d'Oncologie Médicale, Hospices Civils de Lyon, Hôpital Edouard Herriot, Lyon, France.

Stéphanie Polazzi (S)

Service des Données de Santé, Hospices Civils de Lyon, Lyon, France.
Research on Healthcare Performance lab, INSERM U1290 RESHAPE, Université Claude Bernard Lyon 1, Lyon, France.

Annie Lemelin (A)

Service de Gastroentérologie et d'Oncologie Médicale, Hospices Civils de Lyon, Hôpital Edouard Herriot, Lyon, France.

Violaine Fernandez (V)

Service des Données de Santé, Hospices Civils de Lyon, Lyon, France.
Research on Healthcare Performance lab, INSERM U1290 RESHAPE, Université Claude Bernard Lyon 1, Lyon, France.

Stéphanie Labonne (S)

Service de Gastroentérologie et d'Oncologie Médicale, Hospices Civils de Lyon, Hôpital Edouard Herriot, Lyon, France.

Delphine Maucort-Boulch (D)

Service de Biostatistique, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique-Santé, Hospices Civils de Lyon, Université Lyon 1, Lyon, France.
Lyon 1 Claude Bernard University, Lyon, France.

Catherine Lombard-Bohas (C)

Service de Gastroentérologie et d'Oncologie Médicale, Hospices Civils de Lyon, Hôpital Edouard Herriot, Lyon, France.

Antoine Duclos (A)

Service des Données de Santé, Hospices Civils de Lyon, Lyon, France.
Research on Healthcare Performance lab, INSERM U1290 RESHAPE, Université Claude Bernard Lyon 1, Lyon, France.
Lyon 1 Claude Bernard University, Lyon, France.

Thomas Walter (T)

Service de Gastroentérologie et d'Oncologie Médicale, Hospices Civils de Lyon, Hôpital Edouard Herriot, Lyon, France.
Lyon 1 Claude Bernard University, Lyon, France.

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Classifications MeSH