Establishing a diagnostic scale of subacute thyroiditis without radioisotope scanning.


Journal

BMC endocrine disorders
ISSN: 1472-6823
Titre abrégé: BMC Endocr Disord
Pays: England
ID NLM: 101088676

Informations de publication

Date de publication:
27 May 2020
Historique:
received: 05 03 2020
accepted: 18 05 2020
entrez: 29 5 2020
pubmed: 29 5 2020
medline: 16 3 2021
Statut: epublish

Résumé

Radioisotope scanning is important to diagnose subacute thyroiditis (SAT), but it's not always available. So we aim to establish a diagnostic scale for SAT without radioisotope scanning. The suspected SAT patients hospitalized in Yuebei people's Hospital from January 2012 to December 2016 were selected and divided into study group and control group according to whether they were diagnosed as SAT. The clinical indexes of two groups were collected and the diagnostic scale of SAT was established by using binary logistic regression analysis. The effectiveness of the scale was evaluated by ROC curve. Of 309 patients, 58.25% of patients were confirmed with SAT and the remaining 41.75% of patients were not diagnosed with SAT. After univariate analysis, variables which were considered statistically different(P < 0. 05) between the two groups were selected as independent variables and the diagnosis of SAT was taken as dependent variable in the binary logistic regression model. The logistic regression model consisted of 4 variables, each was thyroid tenderness, firm on palpation, increased ESR and elevated thyroid hormone level. The P value of Omnibus tests was≤0. 001 and the Nagelkerke R Square was 0. 915. The diagnostic scoring scale was established with these four variables according to their regression coefficient. The area under the ROC curve for this diagnostic scale was 0. 991(95% confidence interval, 0. 982-0.999). The highest Youden index was 0. 912, the corresponding cut-off point was 7. Internally validation shows a sensitivity of 92. 78% and a specificity of 98.45% of our scale. We established and validated a diagnostic scale for SAT without the need for radioisotope scanning for the first time. It has good application in institutions that do not have radioisotope machines or among pregnant and lactating women.

Sections du résumé

BACKGROUND BACKGROUND
Radioisotope scanning is important to diagnose subacute thyroiditis (SAT), but it's not always available. So we aim to establish a diagnostic scale for SAT without radioisotope scanning.
METHODS METHODS
The suspected SAT patients hospitalized in Yuebei people's Hospital from January 2012 to December 2016 were selected and divided into study group and control group according to whether they were diagnosed as SAT. The clinical indexes of two groups were collected and the diagnostic scale of SAT was established by using binary logistic regression analysis. The effectiveness of the scale was evaluated by ROC curve.
RESULTS RESULTS
Of 309 patients, 58.25% of patients were confirmed with SAT and the remaining 41.75% of patients were not diagnosed with SAT. After univariate analysis, variables which were considered statistically different(P < 0. 05) between the two groups were selected as independent variables and the diagnosis of SAT was taken as dependent variable in the binary logistic regression model. The logistic regression model consisted of 4 variables, each was thyroid tenderness, firm on palpation, increased ESR and elevated thyroid hormone level. The P value of Omnibus tests was≤0. 001 and the Nagelkerke R Square was 0. 915. The diagnostic scoring scale was established with these four variables according to their regression coefficient. The area under the ROC curve for this diagnostic scale was 0. 991(95% confidence interval, 0. 982-0.999). The highest Youden index was 0. 912, the corresponding cut-off point was 7. Internally validation shows a sensitivity of 92. 78% and a specificity of 98.45% of our scale.
CONCLUSIONS CONCLUSIONS
We established and validated a diagnostic scale for SAT without the need for radioisotope scanning for the first time. It has good application in institutions that do not have radioisotope machines or among pregnant and lactating women.

Identifiants

pubmed: 32460870
doi: 10.1186/s12902-020-00554-z
pii: 10.1186/s12902-020-00554-z
pmc: PMC7251828
doi:

Substances chimiques

Thyroid Hormones 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

74

Subventions

Organisme : Shaoguan Health Research Project
ID : Y17020
Organisme : Shaoguan Science and Technology Plan Project
ID : 2017cx/013

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Auteurs

Zhouyi Xiong (Z)

Department of Endocrinology, Yuebei People's Hospital, NO. 133 Huimin South Road, Shaoguan, Guangdong Province, China.

Chunying Luo (C)

Department of Endocrinology, Yuebei People's Hospital, NO. 133 Huimin South Road, Shaoguan, Guangdong Province, China.

Li Wang (L)

Department of Endocrinology, Yuebei People's Hospital, NO. 133 Huimin South Road, Shaoguan, Guangdong Province, China.

Bin Xiong (B)

Department of Endocrinology, Yuebei People's Hospital, NO. 133 Huimin South Road, Shaoguan, Guangdong Province, China.

Jianneng Wu (J)

Department of Endocrinology, Yuebei People's Hospital, NO. 133 Huimin South Road, Shaoguan, Guangdong Province, China. wjn818@21cn.com.

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Classifications MeSH