Determinants of circulating calcitonin value: analysis of thyroid features, demographic data, anthropometric characteristics, comorbidities, medications, and smoking habits in a population with histological full exclusion of medullary thyroid carcinoma.

anthropometric characteristics calcitonin determinants drugs interference medullary thyroid carcinoma thyroid nodules

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2024
Historique:
received: 20 08 2023
accepted: 08 01 2024
medline: 13 2 2024
pubmed: 13 2 2024
entrez: 13 2 2024
Statut: epublish

Résumé

Calcitonin (Ctn) measurement is crucial for the early diagnosis of medullary thyroid carcinoma (MTC). However, Ctn levels can be skewed/elevated due to other reasons, and the Ctn upper reference value remains controversial. In this field, studies have heterogeneous settings, published data are controversial, and no evidence has been achieved. The study's aim was to evaluate all previously investigated Ctn determinants in a population with histological exclusion of MTC. The institutional records from 2010 to 2022 were reviewed to select patients with thyroid nodules who had undergone total thyroidectomy with histological exclusion of MTC and who had tested for Ctn just before surgery. Thyroid features, demographic and anthropometric data, comorbidities, medications, and lifestyle information were collected. Univariate and multivariate analyses were performed. A total of 127 cases were included. The median age for thyroidectomy was 51 years. Median Ctn was 1.04 pg/mL (interquartile range (IQR) 1.04-2.77), with two cases having values above 10 pg/mL. In univariate analysis, Ctn was correlated with gender (p < 0.001), body weight (p = 0.016), height (p = 0.031), body surface area (p = 0.016), thyroid size (p = 0.03), thyroglobulin (p < 0.001), and chronic kidney disease (p < 0.001). After multivariate analysis, the model with the highest accuracy included gender, chronic kidney disease, and thyroid-stimulating hormone (TSH) with an adjusted R-squared of 0.4. This study demonstrates, in a population histologically proven as MTC-free, that the Ctn value is mainly influenced by gender, anthropometric/thyroid features, and chronic kidney disease, with the further impact of TSH.

Identifiants

pubmed: 38347847
doi: 10.3389/fonc.2024.1278816
pmc: PMC10859508
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1278816

Informations de copyright

Copyright © 2024 Trimboli, Peloni, Confalonieri, Gamarra, Piticchio, Frasca, Makovac, Piccardo and Ruinelli.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer JB declared a past co-authorship with the author PT to the handling editor. The author(s) declared that they were an editorial board member of Frontiers at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Pierpaolo Trimboli (P)

Servizio di Endocrinologia e Diabetologia, Ospedale Regionale di Lugano, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.
Facoltà di Scienze Biomediche, Università della Svizzera Italiana (USI), Lugano, Switzerland.

Giuseppe Peloni (G)

Servizio di Chirurgia, Ospedale Regionale di Mendrisio, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.

Dorotea Confalonieri (D)

Servizio di Chirurgia, Ospedale Regionale di Mendrisio, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.

Elena Gamarra (E)

Servizio di Endocrinologia e Diabetologia, Ospedale Regionale di Lugano, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.

Tommaso Piticchio (T)

Endocrinology Section, Department of Clinical and Experimental Medicine, Garibaldi Nesima Hospital, University of Catania, Catania, Italy.

Francesco Frasca (F)

Endocrinology Section, Department of Clinical and Experimental Medicine, Garibaldi Nesima Hospital, University of Catania, Catania, Italy.

Petra Makovac (P)

Servizio di Chirurgia, Ospedale Regionale di Mendrisio, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.

Arnoldo Piccardo (A)

Department of Nuclear Medicine, E.O. "Ospedali Galliera", Genoa, Italy.

Lorenzo Ruinelli (L)

Servizio di Endocrinologia e Diabetologia, Ospedale Regionale di Lugano, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.
Team Data Science & Research, Area ICT, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
Clinical Trial Unit, Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland.

Classifications MeSH