Hematological Indexes Can Be Used to Predict the Incidence of Hypothyroidism in Nasopharyngeal Carcinoma Patients after Radiotherapy
Joint Authors
Chen, Ming
Yuan-yuan, Chen
Zhou, Ling
Chen, Jia
Tao, Chang-Juan
Huang, Shuang
Zhang, Jiang
Shen, Wei
Zhu, Chao-Nan
Yu, Zhong-Hua
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Background.
This study explored the relationship between thyroid-associated antibodies, immune cells, and hypothyroidism to establish a predictive model for the incidence of hypothyroidism in patients with nasopharyngeal carcinoma (NPC) after radiotherapy.
Methods.
A total of 170 patients with NPC treated at the Cancer Hospital of University of Chinese Academy of Sciences between January 2015 and August 2018 were included.
The complete blood count, biochemical, coagulation function, immune cells, and thyroid-associated antibodies tested before radiotherapy were evaluated.
A logistic regression model was performed to elucidate which hematological indexes were related to hypothyroidism development.
A predictive model for the incidence of hypothyroidism was established.
Internal verification of the multifactor model was performed using the tenfold cross-validation method.
Results.
The univariate analysis showed that immune cells had no statistically significant differences among the patients with and without hypothyroidism.
Sex, N-stage, antithyroid peroxidase antibody (TPO-Ab), antithyroglobulin antibody (TG-Ab), thyroglobulin (TG), and fibrinogen (Fb) were associated with hypothyroidism.
Males and early N-stage were protective factors of thyroid function, whereas increases in TPO-Ab, TG-Ab, TG, and Fb counts were associated with an increased rate of hypothyroidism incidence.
The multivariate analysis showed that TPO-Ab, TG-Ab, TG, and Fb were independent predictors of hypothyroidism.
The comprehensive effect of the significant model, including TPO-Ab, TG-Ab, TG, and Fb counts, represented the optimal method of predicting the incidence of radiation-induced hypothyroidism (AUC=0.796).
Tenfold cross-validation methods were applied for internal validation.
The AUCs of the training and testing sets were 0.792 and 0.798, respectively.
Conclusion.
A model combining TPO-Ab, TG-Ab, TG, and Fb can be used to screen populations at a high risk of developing hypothyroidism after radiotherapy.
American Psychological Association (APA)
Zhou, Ling& Chen, Jia& Tao, Chang-Juan& Huang, Shuang& Zhang, Jiang& Shen, Wei…[et al.]. 2020. Hematological Indexes Can Be Used to Predict the Incidence of Hypothyroidism in Nasopharyngeal Carcinoma Patients after Radiotherapy. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1133491
Modern Language Association (MLA)
Zhou, Ling…[et al.]. Hematological Indexes Can Be Used to Predict the Incidence of Hypothyroidism in Nasopharyngeal Carcinoma Patients after Radiotherapy. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1133491
American Medical Association (AMA)
Zhou, Ling& Chen, Jia& Tao, Chang-Juan& Huang, Shuang& Zhang, Jiang& Shen, Wei…[et al.]. Hematological Indexes Can Be Used to Predict the Incidence of Hypothyroidism in Nasopharyngeal Carcinoma Patients after Radiotherapy. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1133491
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133491