Abstract
BACKGROUND:
It is estimated that 1.95% and 5.55% of adults in China suffer from subclinical thyroid diseases, which is difficult to diagnose and treat.
OBJECTIVE:
This study aimed to explore the development and prognosis of subclinical thyroid diseases to provide a reference from our single center experience.
METHODS:
A total of 240 cases from April 2019 to August 2021 in the laboratory information system database of Huanghua Development Boai Hospital were retrospectively analyzed. Binary logistic regression was conducted to analyze odds ratio (OR) of subclinical thyroid disease types returning to a normal state.
RESULTS:
Among the patients hypothyroidism Ia and hyperthyroidism Ia were the most common type with conversion to the normal state (
CONCLUSION:
Cases with grade hypothyroidism Ia and hyperthyroidism Ia are more likely to revert to normal state than other subclinical thyroid diseases. TSH reference range should be explored for diagnosis and treatment.
Introduction
It is estimated that 1.95% and 5.55% of adults in China suffer from subclinical thyroid diseases, which is difficult to diagnose and treat [1]. In 2015, the European Thyroid Association (ETA) published guidelines on the management of subclinical thyroid diseases, including subclinical hypothyroidism and subclinical hyperthyroidism. The ETA further proposed its grading diagnosis theory, which divides hyperthyroidism and hypothyroidism into three grades according to the levels of free T
The grading system defines the relationship between the severity of the disease and the natural course of disease development. In the process of clinical intervention, it is suggested that subclinical thyroid diseases do not require treatment before thyroid lesions identified [2, 3, 4].
This study aimed to track and observe the development and prognosis of subclinical thyroid diseases and add a reference for their diagnosis and treatment from our single center experience.
Materials and methods
Patients
From April 2019 to August 2021, the thyroid hormone test results and patient information were extracted from the laboratory information system (LIS) database of Huanghua Development Boai Hospital and were reviewed in this retrospective analysis.
Patients meeting the following criteria were included: (I) over 18 years old; (II) complete medical records; (III) the internal quality control results of this batch were under control.
Patients meeting the following criteria were excluded: (I) pregnancy; (II) receiving antithyroid drugs; (III) prior thyroid surgery; (IV) taking antiepileptic drugs; (V) severe hypertension.
Methods
A total of 240 cases of subclinical thyroid diseases were evaluated according to the grading standard modified by Wiersinga [3].
Thyroid function test results were collected from the LIS. The contents included the dates of patients’ first examination and re-examination, their name, gender, age, clinical diagnosis, application department, application doctor, FT
Endpoint
The endpoint was set at the first determining diagnosis during the observation period including normal results and those for hyperthyroidism, hypothyroidism, and subclinical thyroid diseases, among others.
Statistical methods
All data collected in this study were analyzed using SPSS 22.0 software. Normally distributed measurement data were expressed as mean
Results
Patient information and subclinical thyroid disease classification
Baseline information
Based on patients screening procedure (Fig. 1), 240 patients were enrolled in present study. Among these patients, 74 were males (20.55%) and 166 were females (79.45%). The mean age of the males was 44.98
Flowchart of patients selection.
In terms of the histogram distribution of TSH, FT
Diagnostic types of subclinical thyroid diseases according to grading diagnostic criteria [2]
Diagnostic types of subclinical thyroid diseases according to grading diagnostic criteria [2]
Subclinical thyroid disease types
The conversion to normal states was found to be 67.70%, 40.47%, 61.80%, and 36.00% for hypothyroidism Ia, hypothyroidism Ib, hyperthyroidism Ia and hyperthyroidism Ib, respectively. Hypothyroidism Ia and hyperthyroidism Ia were the most common type with conversion to the normal state (
Development and prognosis of subclinical thyroid diseases
Development and prognosis of subclinical thyroid diseases
An ANOVA test was conducted for different types of subclinical thyroid diseases and prognosis. There was a significant difference in the prognosis between hypothyroidism Ia, hypothyroidism Ib, and hyperthyroidism Ia (
Prognostic analysis of different types of subclinical thyroid diseases
Prognostic analysis of different types of subclinical thyroid diseases
A comparison of FT
Test results of thyroid function of normal and abnormal prognosis
Test results of thyroid function of normal and abnormal prognosis
Abbreviations: FT3: free T3; FT4: free T4; TSH: thyroid-stimulating hormone; TpoAb: thyroid peroxidase antibody; TgAb: thyroid globulin antibody. Notes: FT3 and FT4 are basically normally distributed, and compared using t-test. TSH, TpoAb and TgAb are significantly non-normally distributed, and compared using nonparametric Z-test.
Prognostic analysis of subclinical thyroid diseases
Abbreviations: FT3: free
The prognosis of subclinical thyroid diseases can be divided into two groups: normal and abnormal. The type, gender, and age of patients with subclinical thyroid diseases were included as influencing factors in a binary logistic regression analysis. The OR values of hypothyroidism Ia and hyperthyroidism Ia when compared with hyperthyroidism Ib were 3.138 (1.1.278
Time of subclinical thyroid disease needed to return to normal state (days)
Time of subclinical thyroid disease needed to return to normal state (days)
There was no difference found in the time required for various types of subclinical thyroid diseases returning to a normal state (
Discussion
Subclinical thyroid disease is a laboratory-diagnosed disease type of which serum TSH is abnormal, but FT
Patients with grade hyperthyroidism Ia or hypothyroidism Ia show a slight increase or decrease in TSH. In present study, more than 60% of patients with hyperthyroidism Ia and hypothyroidism Ia returned to a normal state. However, there was no difference in other prognosis types. The results also revealed that approximately 10% of cases of hyperthyroidism Ia and hypothyroidism Ia turned into hyperthyroidism or hypothyroidism. It might be induced by the use of anti-hyperthyroidism or anti-hypothyroidism drugs. Therefore, the clinical diagnosis and treatment of subclinical thyroid diseases should be comprehensively determined and scientifically explained according to clinical symptoms and not be simply treated with drugs [6]. The decision to treat depends on the degree of thyroid-stimulating hormone suppression and underlying comorbidities [7].
Age, gender, iodine nutrition, and autoantibodies are risk factors for thyroid diseases [8, 9, 10, 11, 12]. The present study revealed that there was no differences in age, gender, TpoAb, and TgAb between the normal and abnormal prognosis groups, except TSH. It suggested that TSH was one of the most important factors for thyroid disease, and the obvious increase and decrease in TSH were the early characteristics of the occurrence and development of clinical hypothyroidism or clinical hyperthyroidism. Notably, while the cut-off value of TSH for the diagnosis of subclinical thyroid diseases in this study referred to the ETA guidelines, this approach is not necessarily suitable for the testing methods of the local region and a given laboratory. Therefore, the reference range and cut-off value of TSH for laboratories in local regions should be established [13, 14, 15] in further. In addition, TSH test is easily affected by TSH heterophilic antibodies, while diseases unrelated to thyroid diseases (e.g., those caused by glucocorticoids, obesity, and hypothalamic-pituitary-thyroid axis regulation) can also cause TSH abnormalities [16, 17, 18, 19, 20].
This study also found that the median times (
This study also had several limitations. Firstly, this was a retrospective study with unavoidable biases. Secondly, this was a single center analysis with limited sample size. Thirdly, this was not a rigorous case follow-up study Therefore, all results in this study should be interpreted cautiously, and prospective study with large sample should be conducted in the future.
In recent years, with the extensive application and development of artificial intelligence in the field of laboratory medicine, relevant research results have confirmed that machine learning has certain advantages over parametric models [21]. For example, Ardila [22] combined chest CT imaging features with important characteristics of patients such as demographic characteristics and living habits to build an effective evaluation system for the nature of pulmonary nodules. Arbel [23] found the distribution width of red blood cells (RDW), a non-specific test index, can significantly increase the incidence of cardiovascular disease. Subclinical thyroid diseases lack typical clinical symptoms. Clinicians often make judgments based on the patient’s physical signs, symptoms, medical history and thyroid function test results and personal knowledge and clinical experience, but cannot guarantee the accuracy of diagnosis. If a large number of thyroid function tests and other non-specific index data processing are carried out in multiple centers, combined with the clinical characteristics of thyroid diseases, and through simulation, extension and expansion [24], the test big data is linked with the diagnosis, differential diagnosis, treatment effect, and pre-and post-judgment of the disease, a high-level intelligent analysis will be generated to help clinicians predict the risk of patients, Make suggestions for treatment and prognosis.
Conclusion
Grade hypothyroidism Ia and hyperthyroidism Ia are more likely to revert to normal state than other subclinical thyroid diseases. TSH reference range should be explored for diagnosis and treatment.
Competing interests
The authors declare that they have no competing interests.
Funding
This study was funded by the Medical Science Research Project of Hebei Province Health Commission (No. 20210401).
Ethics statement
The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Committee of Huanghua Boai Hospital. Written informed consent was obtained from all participants.
Availability of data and material
All data generated or analysed during this study is included in this article. Further enquiries can be directed to the corresponding author.
Footnotes
Acknowledgments
The authors are grateful to everyone who helped them with the article.
