Skip to main content

ORIGINAL RESEARCH article

Front. Cardiovasc. Med., 28 October 2022
Sec. Atherosclerosis and Vascular Medicine
This article is part of the Research Topic Role of Novel Inflammatory Factors and Bioactive Lipids in the Mechanism, Diagnosis and Prediction of Atherosclerosis Related Diseases View all 7 articles

The relationship between atherosclerotic disease and relapse during ATD treatment

\nXinxin ZhuXinxin ZhuYaguang ZhangYaguang ZhangXiaoyu ZhaoXiaoyu ZhaoXiaona ZhangXiaona ZhangZixuan RuZixuan RuYanmeizhi WuYanmeizhi WuXu YangXu YangBoyu HouBoyu HouHong Qiao
Hong Qiao*
  • Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, Harbin, China

Background: Clinical relapse is a potential risk for traditional antithyroid drug (ATD) treatment in hyperthyroid patients. Evidence suggests that atherosclerotic disease is closely associated with hyperthyroidism, while the relationship between atherosclerosis and relapse remains unclear.

Methods: Two hundred and twenty-five patients with GD who underwent ATD as their first treatment were studied; 88 and 137 patients were categorized as drug reduction relapse and drug reduction remission, respectively. Logistic regression was used to analyze risk factors of drug reduction relapse in patients with GD.

Results: During a median of 48 months followed up 88 patients who relapsed. According to multivariate analyses, atherosclerosis related diseases, FT4, goiter, and anxiety rating scores are independent risk factors for drug reduction. According to K-M survival analysis, patients with atherosclerosis related diseases, FT4 > 18.82 pmol/L, anxiety rating scores > 23, and gradation of goiter ≥ Grade II had a higher risk of relapse than those with lower levels. ROC analysis shown atherosclerosis related diseases significantly improved the predictive accuracy of relapse.

Conclusions: Atherosclerotic disease is closely related to the relapse of hyperthyroidism, ATD treatment in hyperthyroid patients with atherosclerosis should be given more attention.

Introduction

As one of the most common endocrine diseases, hyperthyroidism is characterized by increased synthesis and secretion of thyroid hormone. Clinically, Graves' disease (GD) represents the most common form of hyperthyroidism, accounting for 50–80% of all cases (1, 2), and the incidence of GD has been increasing over the past few years (1, 3). Over 30% of patients with GD suffered from Graves' orbitopathy (GO) (46), which caused vision loss (7). Additionally, it has been reported that GD was associated with the incidence of major adverse cardiac events (MACE) (8, 9). Atherosclerosis is a chronic inflammatory disease. In addition, there is also evidence that chronic inflammation contributes to hyperthyroidism, which suggests a potential relationship between atherosclerosis and hyperthyroidism. Patients with hyperthyroidism have more high-grade coronary stenosis, plaque burden and high-risk plaque characteristics, which suggested that elevated thyroid hormone can lead to coronary artery vascularization and plaque instability (10). However, the impact of atherosclerotic diseases on the treatment and prognosis of hyperthyroidism remains unclear.

Antithyroid drugs (ATDs) are the first line treatment for patients with GD and contribute to the remission of clinical symptoms, supported by substantial clinical trials with a positive outcome (1114). According to the current guidelines (3, 15, 16), it is recommended to decrease the dose to 2.5–10 mg/d or 100–150 mg/d after starting with a higher dose of Methimazole (MMI) (10–20 mg/d) or Propylthiouracil (PTU) (150–300 mg/d) after thyroid function returns to normal. However, some studies have shown that certain patients with GD relapsed during drug reduction (1720). Hence, in order to achieve individualized treatment for patients with GD, it is necessary to study the independent risk factors of relapse in those with drug reduction.

Herein, we conducted this study to explore the effect of atherosclerosis related diseases on drug reduction and recurrence in patients with hyperthyroidism, which will facilitate our understanding of risk stratification and management in patients with GD.

Method

Study population and design

This study is a retrospective cohort study abiding by the Declaration of Helsinki. The whole research process was authorized and supervised by the Second Affiliated Hospital of Harbin Medical University ethics committee. All experimental subjects completely understood the research process and signed informed consent forms, which encompassed data use and follow-up.

In accordance with the current guidelines (3, 16), 310 patients with GD from the Second Affiliated Hospital of Harbin Medical University were enrolled between January 1, 2018 and December 31, 2019. Patients who met the following criteria were included: (1) Patients identified with GD. (2) Patients in the process of standardized ATD treatment. (3) Patients without radioactive iodine ablation (RAIU) and surgery. (4) Patients who signed informed consent and were informed about the study. Meanwhile, patients who met any of the following criteria were excluded from this study: (1) Patients with severe hyperthyroidism complications. (2) Patients with drug and food allergy. (3) Patients who were still participating in other clinical trials. (4) Patients who could not take medicine as prescribed. (5) Patients who were lost to follow-up. (6) Patients who did not return to the prescribed return visit date. (7) Patients with incomplete examination materials. In light of exclusion criteria, 85 patients were excluded. The study flow chart was shown in Figure 1. Finally, data on 225 patients was used to the further analysis with a median follow-up of 48 months (range 16–48 months). Enrolled GD patients were divided into two groups: Drug reduction relapse group (n = 88): During ATD treatment, patients with GD were cured or the clinical symptoms were relieved. While after FT3, FT4, and TSH returned to normal levels, the situation of increased FT3 and FT4 appeared again (1720). Drug reduction remission group (n = 137): During ATD treatment, the clinical symptoms were relieved, and FT3, FT4, and TSH returned to normal levels (1820). Normal ranges of hormones: FT3 (range 2.43–6.01 pmol/L), FT4 (range 9.01–19.50 pmol/L), TSH (range 0.35–4.94 uIU/mL), TRAb (range 0–1.5IU/L).

FIGURE 1
www.frontiersin.org

Figure 1. Flowchart of the study population enrollment. ATD, antithyroid drug; RAIU, radioactive iodine ablation.

Data

Clinical data were collected at the beginning of drug reduction. Patients with GD' gender, age, history of GD, GD genetic history, gradation of goiter, palpation of a hard thyroid, irregular drug use, smoking history, drinking history, anxiety rating scores, complications, Free triiodothyronine (FT3), Free thyroxine (FT4), Thyrotropin (TSH), Thyrotropin receptor antibody (TRAb) level, whether to replace the drugs, and whether to combine with other drugs and other clinical data in every phase were collected. Additionally, hyperthyroidism diagnostic criteria can be listed as follows: (1) Hyper metabolic symptoms and signs. (2) Goiter. (3) Serum TSH level decreased and thyroid hormone level increased. The diagnosis can be made when the above three conditions are achieved. As for GD diagnostic criteria: (1) The diagnosis of hyperthyroidism was established. (2) Diffuse enlargement of the thyroid gland (palpation and ultrasound confirmed). (3) Exophthalmos and other invasive eye signs. (4) Pretibial myxedema. (5) Positive TRAb and Thyroid peroxidase antibody (TPOAb) level. In the above criteria, items (1)-(2) are necessary diagnostic conditions, and items (3)-(5) are auxiliary diagnostic conditions. Definitions are provided in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Definition of clinical baseilne.

Statistical analysis

We tested data normality using the Kolmogorov-Smirnov method. Continuous data are presented as mean ± SD or median (interquartile range). The student test or the Mann-Whitney U test was used for statistical comparisons in two groups. Categorical variables are presented as count (percent), and comparisons between groups were made with the χ2 or Fisher exact test. A logistic regression model was used to evaluate the association between risk factors and drug reduction relapse, which was adjusted for all other baseline characteristics with P < 0.10 on univariable analysis. Moreover, Kaplan–Meier (K-M) survival analysis was applied to compare the differences in various baselines between two groups. And receiver-operating characteristic curve (ROC) was performed to evaluate the accuracy that serum FT3, FT4, and TSH level for drug reduction relapse.

Results

Baseline data characteristics

Among the 310 patients with GD who initially underwent ATD treatment, 85 patients were excluded because of RAIU or surgery (n = 22), after ATD withdrawal (n = 49), drug allergy (n = 10) and lost to follow up (n = 4). The remaining 225 patients were suitable for of drug reduction assessment, according to the current guidelines (15, 16), 137 patients had drug reduction relapse and 88 patients had drug reduction remission. The clinical baseline characteristics for the entire study cohort are displayed in Table 2 based on the clinical data of patients in two groups. The proportion of patients with Grade II and above goiter (94.32 vs. 75.18%, P < 0.001), with palpation of a hard thyroid (19.32 vs. 7.30%, P = 0.007), with irregular drug use (38.64 vs. 16.06%, P < 0.010), smoking patients (32.95 vs. 20.15%, P = 0.025), alcohol drinking patients (43.18 vs. 24.82%, P = 0.019), incidences of complications (90.91 vs. 75.91%, P = 0.001) and side effects (22.73 vs. 9.59%, P = 0.006) were significantly higher in relapse group than that in remission group, while the two groups showed no significant differences in gender, age, duration of GD, and GD genetic history. However, it was found that atherosclerotic diseases were significantly higher in the relapsing group than in the remission group.

TABLE 2
www.frontiersin.org

Table 2. Clinical baseline of patients in the drug reduction group.

In addition, the laboratory baselines characteristics of patients were shown in Table 3. Patients in the relapse group had significantly higher anxiety rating scores (30.98 ± 15.97 vs. 23.08 ± 13.15, P < 0.001), the serum levels of FT3 (10.07 ± 5.64 pmol/L vs. 6.11 ± 3.90 pmol/L, P < 0.001) and FT4 (29.78 ± 15.81 pmol/L vs. 16.64 ± 9.57 pmol/L, P < 0.001) than those in the remission group.

TABLE 3
www.frontiersin.org

Table 3. Laboratory baseline of patients in the drug reduction group.

Furthermore, the serum level of TSH (0.60 ± 2.39 uIU/ mL vs. 3.37 ± 6.62 uIU/ml, P < 0.001) in the relapse group was lower than that of remission group. However, no differences were observed in the serum level of TRAb, patients with MMI, and whether patients had combined with other drugs between two groups.

Baselines related to the relapse of Graves' disease

During drug reduction, 88 of 225 (39.11%) patients experienced relapse. In order to explore the clinical risk factors of patients who underwent drug reduction relapse, logistic regression was used to analyze the clinical and laboratory baselines of patients between remission group and relapse group. After adjustments for traditional risk factors, the following factors were obviously related with relapse during drug reduction: goiter gradation grade II and above (OR = 4.473, 95% CI = 1.236–16.189, P = 0.022), patients with higher anxiety rating scores (OR = 1.044, 95% CI = 1.019–1.069, P = 0.001) and higher serum level of FT4 (OR = 1.096, 95% CI = 1.034–1.162, P = 0.002) (Table 4). In addition, K-M survival curves were used to further evaluate the association between goiter gradation, anxiety rating scores, atherosclerotic disease, FT4 and drug reduction relapse (Figure 2). Considering the median value of FT4 and anxiety rating scores, the patients were divided into two groups (high FT4 group, FT4 > 18.82 pmol/L, high anxiety rating scores group, anxiety rating scores > 23, low FT4 group, FT4 ≤ 18.82 pmol/L, low anxiety rating scores group, anxiety rating scores ≤ 23). K-M survival curves demonstrated that patients with FT4 > 18.82 pmol/L (P < 0.001) and anxiety rating scores > 23 (P = 0.007) showed significantly higher RFS than those patients with lower levels. Furthermore, goiter gradation was composed of two groups (high goiter group: Gradation of goiter ≥ Grade II, low goiter group: Gradation of goiter < Grade II). Consequently, patients who had Gradation of goiter ≥ Grade II were associated with higher RFS in patients with GD by K-M survival curves analysis. Patients with atherosclerotic disease showed significantly higher RFS than those patients with lower levels. Furthermore, in order to assess recurrence in different reduced dosage, the reduced dose was divided into three groups in light of the guidelines (Reduce dosage 10 mg, reduce dosage 5 mg, Reduce dosage 2.5 mg). Pie chart showed that Patients with GD who reduce dosage 2.5 mg (43.2%) were more likely to relapse (Figure 3).

TABLE 4
www.frontiersin.org

Table 4. Logistic analysis of risk factors.

FIGURE 2
www.frontiersin.org

Figure 2. Kaplan–Meier analyses for patients with GD who underwent antithyroid drug (ATD) treatment and relapse during ATD reduction. (A) The serum level of free thyroxine (FT4), (B) goiter gradation, (C) anxiety rating scores, and (D) Atherosclerotic disease.

FIGURE 3
www.frontiersin.org

Figure 3. Proportion of relapse in dosage reduction. Reduced dosage 10 mg, MMI (30–20–10 mg/d); Reduced dosage 5 mg, MMI (10–5 mg/d); Reduced dosage 2.5 mg, MMI (5–2.5 mg/d-withdrawal).

Prediction of relapse by risk stratification

Given the significant differences in the FT3, FT4, and TSH between two groups, ROC curve analysis was used to evaluate the predictive effects of FT3, FT4, and TSH in distinguishing relapse from remission (Table 5). The area under the ROC curve (AUC) for FT3, FT4, and TSH for remission versus relapse was 0.794 (P < 0.001), 0.813 (P < 0.001), and 0.753 (P < 0.001), respectively (Figures 4A–C). Furthermore, we found that FT3 achieved a maximum sensitivity of 73.86% and specificity of 77.37% for relapse when using a cut off value of 6.585, FT4 achieved a maximum sensitivity of 75.00% and specificity of 76.64% for relapse when using a cut off value of 19.270, TSH achieved a maximum sensitivity of 87.01% and specificity of 58.54% for relapse when using a cut off value of 0.254 (Table 5). Furthermore, we found that combining atherosclerosis significantly increased the predictive ability of FT3, FT4, and TSH for recurrence (Figure 4D).

TABLE 5
www.frontiersin.org

Table 5. Cut of values of FT3, FT4, and TSH.

FIGURE 4
www.frontiersin.org

Figure 4. ROC curve analysis of FT3, FT4, and TSH. (A) FT3, free triiodothyronine, (B) FT4, free thyroxine, and (C) TSH, thyrotropin. (D) Risk factor (FT3, FT4, and TSH) and atherosclerotic disease ROC curve, receive operating characteristic curve; AUC, the area under the ROC curve.

Discussion

The major findings of this study can be listed as follows: (1) Elevated goiter gradation Grade II and above, anxiety rating scores and FT4 were found to be independent risk factors of drug reduction relapse, after adjustments for traditional risk factors. (2) Patients with FT4 > 18.82pmol/L (P < 0.001), anxiety rating scores > 23 (P = 0.007) and Gradation of goiter ≥ Grade II had higher risk of relapse than patients with lower levels. (3) Atherosclerotic disease is closely related to the relapse of hyperthyroidism, ATD treatment in hyperthyroid patients with atherosclerosis should be given more attention.

As a first-line treatment for patients with GD, MMI, a representative drug of ATD, can not only alleviate clinical symptoms of GD but also significantly improve thyroid function. However, there was still evidence of relapse in patients with GD after ATD withdrawal (1113, 21) and during drug reduction (1720). Previous studies mainly considered age (<40 years), gender, smoking history, FT3/FT4 ratio at withdrawal, goiter degree, TRAb titer, TSH level (at withdrawal) and duration of treatment were closely associated with relapse after ATD withdrawal (2, 13, 2224), while there were barely evidence suggested that relapse risk factors during drug reduction. This study retrospectively analyzed the clinical and laboratory characteristics of relapse during drug reduction in patients with GD, and demonstrated that goiter, FT4 and anxiety rating scores were independent risk factors of drug reduction relapse.

Previous studies have demonstrated that goiter and FT4 had a great influence on relapse after ATD withdrawal (13, 2527). In a multicenter retrospective study of 908 patients with GD followed up for about 10 years, Chung presented that high level of FT4 can be identified as risk factors for relapse after withdrawal of ATD (23), nations and ethnic differences were a plausible explanation for this result. According to this study, high serum level of FT4 were not only independently related with relapse after drug withdrawal, but also strongly associated with relapse during drug reduction. Furthermore, further research revealed that, when FT4 > 18.82 pmol/L, patients with GD had increasingly higher rates of relapse and took less time to achieve relapse. Simultaneously, FT4 > 19.270 pmol/L can accurately predict relapse during drug reduction. In addition, large goiter is a main clinical manifestation of patients with GD (27, 28). Likewise, goiter also strongly correlated with relapse after ATD withdrawal. As far as we know, GD is an autoimmune disorder that TRAb stimulates the thyroid gland and leads to hyperthyroidism. Also, Thyroid lymphoid hyperplasia is regarded as the most common pathological features of patients with GD. Proliferative lymphocytes secrete inflammatory factors to further damage surrounding tissues and increase inflammatory response by TRAb (16, 29). The result of this study confirmed that goiter gradation Grade II and above is closely associated with relapse. Interestingly, it is demonstrated that patients with goiter gradation Grade II and above have a higher recurrence rate and relapse in a relatively short period of time than patients with goiter gradation Grade I. This finding is in agreement with that of Turkish study enrolled 517 patients with GD after ATD withdrawal (30). Meanwhile, there has also been an association between goiter and relapse after ATD withdrawal in previous studies (28, 31). Our risk stratification using this risk factor may be useful when physicians are making a decision on reducing ATD or withdrawal.

Furthermore, drug reduction relapse was also evaluated by pie chart. Intriguingly, reduced dosage of 2.5 mg was assessed the most likely period for relapse. Based on this result, one could speculate that dosage reduction accounted for the largest proportion of current oral ATD drugs during this period. Therefore, the duration of maintenance dose stage should be extended appropriately, and reduced drug should be considered carefully during this period.

Additionally, it is well-known that mental disorders are one of the main causes and complications of GD (32). Patients with GD had a regulatory effect on serotonin and norepinephrine, and the decrease of serotonin and norepinephrine can cause depression and anxiety. Furthermore, the aggravation of GD was also associated with mental disorders (33, 34). Stress and adverse events may impact the immune system, resulting in an inflammatory response characterized by increased white blood cell counts and C-reactive protein (CRP) levels (35, 36). However, the underlying mechanism still remains unclear. As for this study, we confirmed that anxiety rating scores can properly predict recurrence during drug reduction. It is worth noting that, patients with anxiety rating scores > 23 was demonstrated to be a high recurrence rate and relapse early compared to anxiety rating scores < 23 patients. This viewpoint is basically consistent with previous studies (3739) in relapse after ATD withdrawal. Our study extends the prior findings that physical and mental health is equally vital for patients with GD. Taken together, besides adjusting drug dosage through patients' thyroid function, patients' mental evaluation should also be taken into account during drug reduction.

In addition, there is increasing evidence that atherosclerosis is associated with thyroid dysfunction (40, 41). Gudurn analyzed quantitative coronary CT angiographic parameters and plaque morphology in 774 patients with overt and subclinical hyperthyroidism over a period of 168 months. Indicated that patients with hyperthyroidism have more severe coronary stenosis, plaque burden, and high-risk plaque features, suggesting that elevated thyroid hormones may contribute to coronary vascularization and plaque instability (10). According to this study, we also found that atherosclerotic diseases were significantly higher in the relapsing group which demonstrated that atherosclerotic disease is closely related to the relapse of hyperthyroidism. Here is some indirect evidence to explain this finding. High white blood cell levels and high inflammatory response have been shown to be strongly associated with a poor prognosis for hyperthyroidism (42, 43). As we know, atherosclerosis is a chronic inflammatory disease with persistent release of inflammatory factors from immune cells in plaques, which may increase the progression of hyperthyroidism. Furthermore, patients with atherosclerosis tend to have a combination of metabolic diseases such as hyperemia and diabetes, which may also have a potential impact on hyperthyroidism. Overall, our data reveal for the first time that atherosclerosis-related disease is strongly associated with relapse in patients with hyperthyroidism who discontinue medication. More attention should be paid to treatment of ATD in hyperthyroidism patients with atherosclerosis.

Study limitations

This study still has several potential limitations. First of all, the retrospective design of the study may have introduced a selection bias. Additionally, this study was a single-center study where all patients were enrolled from the Second Affiliated Hospital of Harbin Medical University. Therefore, considering that the enrolled patients were relatively local, the results may be characterized by regional restrictions. Secondly, we enrolled a relatively small number of patients, including 225 patients with GD which may have affected the results of risk factors during drug reduction. Thirdly, this study only recorded the clinical baseline at the time of the patient's visit, and did not analyze the data during the treatment period, which should be discussed in the follow-up study. Finally, other markers such as blood routine examination, liver function, renal function, ion measurement, and 3D thyroid color Doppler ultrasound or elastic score were not assessed, paving a way for future study to clarify this causal association.

To the best of our knowledge, we demonstrated for the first time an association of serum levels of FT3, FT4, TSH in patients with GD during drug reduction. FT3, FT4, TSH can predict properly for drug reduction to help managing patients with GD clinically.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Second Affiliated Hospital of Harbin Medical University Ethics Committee. The patients/participants provided their written informed consent to participate in this study.

Author contributions

XZhu and HQ: conception, design, and administrative. YZ and XZhan: support and provision of studymaterials or patients. XZhao and ZR: collection and assembly of data. YW and XY: data analysis and interpretation. BH and XZhao: manuscript writing. All authors approved the final manuscript.

Funding

This research was supported by the National Natural Science Foundation of China (Nos. 8187120246 and 8167120241).

Acknowledgments

We sincerely thank Dr. Yuwu Chen for assistance in language editing.

Conflict of interest

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.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Hussain YS, Hookham JC, Allahabadia A, Balasubramanian SP. Epidemiology. management and outcomes of Graves' disease-real life data. Endocrine. (2017) 56:568–78. doi: 10.1007/s12020-017-1306-5

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Liu J, Fu J, Duan Y, Wang G. Predictive value of gene polymorphisms on recurrence after the withdrawal of antithyroid drugs in patients with Graves' disease. Front Endocrinol. (2017) 8:258. doi: 10.3389/fendo.2017.00258

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Kahaly GJ, Bartalena L, Hegedüs L, Leenhardt L, Poppe K, Pearce SH. European thyroid association guideline for the management of Graves' hyperthyroidism. Eur Thyroid J. (2018) 7:167–86. doi: 10.1159/000490384

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Laurberg P, Nygaard B, Andersen S, Carlé A, Karmisholt J, Krejbjerg A, et al. Association between TSH-receptor autoimmunity, hyperthyroidism, goitre, and orbitopathy in 208 patients included in the remission induction and sustenance in Graves' disease study. J Thyroid Res. (2014) 2014:165487. doi: 10.1155/2014/165487

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Stöhr M, Oeverhaus M, Lytton SD, Horstmann M, Zwanziger D, Möller L, et al. Predicting the relapse of hyperthyroidism in treated Graves' disease with orbitopathy by serial measurements of TSH-receptor autoantibodies. Horm Metab Res. (2021) 53:235–44. doi: 10.1055/a-1373-5523

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Wang PW, Chen IY, Juo SH, Hsi E, Liu RT, Hsieh CJ. Genotype and phenotype predictors of relapse of Graves' disease after antithyroid drug withdrawal. Eur Thyroid J. (2013) 1:251–8. doi: 10.1159/000342621

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Tagami M, Honda S, Azumi A. Insights into current management strategies for dysthyroid optic neuropathy: a review. Clin Ophthalmol. (2022) 16:841–50. doi: 10.2147/OPTH.S284609

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Biondi B. Kahaly GJ. Cardiovascular involvement in patients with different causes of hyperthyroidism. Nat Rev Endocrinol. (2010) 6:431–43. doi: 10.1038/nrendo.2010.105

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Fabowale MO, Ogah OS, Kehinde AM, Olusola FI, Okafor IJ, Bakare TA, et al. Pericardial effusion in a patient with hyperthyroidism: a case report. Ann Ib Postgrad Med. (2021) 19:78–81.

PubMed Abstract | Google Scholar

10. Beyer C, Plank F, Friedrich G, Wildauer M, Feuchtner G. Effects of hyperthyroidism on coronary artery disease: a computed tomography angiography study. Can J Cardiol. (2017) 33:1327–34. doi: 10.1016/j.cjca.2017.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Choi YM, Kwak MK, Hong SM, Hong EG. Changes in thyroid peroxidase and thyroglobulin antibodies might be associated with graves' disease relapse after antithyroid drug therapy. Endocrinol Metab. (2019) 34:268–74. doi: 10.3803/EnM.2019.34.3.268

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Kim M, Kim BH, Jang MH, Kim JM, Kim EH, Jeon YK, et al. High neutrophil-to-lymphocyte ratio is associated with relapse in Graves' disease after antithyroid drug therapy. Endocrine. (2020) 67:406–11. doi: 10.1007/s12020-019-02137-y

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Park S, Song E, Oh HS, Kim M, Jeon MJ, Kim WG, et al. When should antithyroid drug therapy to reduce the relapse rate of hyperthyroidism in Graves' disease be discontinued? Endocrine. (2019) 65:348–56. doi: 10.1007/s12020-019-01987-w

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Song A, Kim SJ, Kim MS, Kim J, Kim I, Bae GY, et al. Long-term antithyroid drug treatment of Graves' disease in children and adolescents: a 20-year single-center experience. Front Endocrinol. (2021) 12:687834. doi: 10.3389/fendo.2021.687834

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Bahn Chair RS, Burch HB, Cooper DS, Garber JR, Greenlee MC, Klein I, et al. Hyperthyroidism and other causes of thyrotoxicosis: management guidelines of the American thyroid association and american association of clinical endocrinologists. Thyroid. (2011) 21:593–646. doi: 10.1089/thy.2010.0417

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ross DS, Burch HB, Cooper DS, Greenlee MC, Laurberg P, Maia AL, et al. 2016 American thyroid association guidelines for diagnosis and management of hyperthyroidism and other causes of thyrotoxicosis. Thyroid. (2016) 26:1343–421. doi: 10.1089/thy.2016.0229

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Can H, Inceboz T, Caner A, Atalay Sahar E, Karakavuk M, Döşkaya M, et al. 2016. [Detection of Echinococcus granulosus and Echinococcus multilocularis in cyst samples using a novel single tube multiplex real-time polymerase chain reaction]. Mikrobiyol Bul. (2016) 50:266–77. doi: 10.5578/mb.21005

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Ding Y, Xing J, Fang Y, Wang Y, Zhang Y, Long Y. 131I therapy for 345 patients with refractory severe hyperthyroidism: without antithyroid drug pretreatment. Exp Biol Med. (2016) 241:290–5. doi: 10.1177/1535370215602784

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Kim J, Choi MS, Park J, Park H, Jang HW, Choe JH, et al. Changes in thyrotropin receptor antibody levels following total thyroidectomy or radioiodine therapy in patients with refractory Graves' disease. Thyroid. (2021) 31:1264–71. doi: 10.1089/thy.2020.0756

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Knollman PD, Giese A, Bhayani MK. Surgical intervention for medically refractory hyperthyroidism. Pediatr Ann. (2016) 45:e171–175. doi: 10.3928/00904481-20160411-01

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Shi H, Sheng R, Hu Y, Liu X, Jiang L, Wang Z, et al. Risk factors for the relapse of Graves' disease treated with antithyroid drugs: a systematic review and meta-analysis. Clin Ther. (2020) 42:662–75.e664. doi: 10.1016/j.clinthera.2020.01.022

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Kim YA, Cho SW, Choi HS, Moon S, Moon JH, Kim KW, et al. The second antithyroid drug treatment is effective in relapsed graves' disease patients: a median 11-year follow-up study. Thyroid. (2017) 27:491–6. doi: 10.1089/thy.2016.0056

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Park SY, Kim BH, Kim M, Hong AR, Park J, Park H, et al. The longer the antithyroid drug is used, the lower the relapse rate in Graves' disease: a retrospective multicenter cohort study in Korea. Endocrine. (2021) 74:120–7. doi: 10.1007/s12020-021-02725-x

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Struja T, Fehlberg H, Kutz A, Guebelin L, Degen C, Mueller B, et al. Can we predict relapse in Graves' disease? Results from a systematic review and meta-analysis. Eur J Endocrinol. (2017) 176:87–97. doi: 10.1530/EJE-16-0725

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Abbara A, Clarke SA, Brewster R, Simonnard A, Eng PC, Phylactou M, et al. Pharmacodynamic response to anti-thyroid drugs in Graves' hyperthyroidism. Front Endocrinol. (2020) 11:286. doi: 10.3389/fendo.2020.00286

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Kwon H, Kim WG, Jang EK, Kim M, Park S, Jeon MJ, et al. Usefulness of measuring thyroid stimulating antibody at the time of antithyroid drug withdrawal for predicting relapse of Graves disease. Endocrinol Metab. (2016) 31:300–10. doi: 10.3803/EnM.2016.31.2.300

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Vos XG, Endert E, Zwinderman AH, Tijssen JG, Wiersinga WM. Predicting the risk of recurrence before the start of antithyroid drug therapy in patients with Graves' hyperthyroidism. J Clin Endocrinol Metab. (2016) 101:1381–9. doi: 10.1210/jc.2015-3644

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Liu L, Lu H, Liu Y, Liu C, Xun C. Predicting relapse of Graves' disease following treatment with antithyroid drugs. Exp Ther Med. (2016) 11:1453–8. doi: 10.3892/etm.2016.3058

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Biondi B, Bartalena L, Cooper DS, Hegedüs L, Laurberg P, Kahaly GJ. The 2015 European thyroid association guidelines on diagnosis and treatment of endogenous subclinical hyperthyroidism. Eur Thyroid J. (2015) 4:149–63. doi: 10.1159/000438750

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Zuhur SS, Elbuken G, Yildiz I, Kadioglu P, Erol S, Sahin S, et al. External validation of the great score in turkish patients with Graves' hyperthyroidism treated with the titration regimen method of antithyroid drugs: a multicenter study. Horm Metab Res. (2019) 51:627–33. doi: 10.1055/a-0974-3991

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Laurberg P. Remission of Graves' disease during anti-thyroid drug therapy. Time to reconsider the mechanism. Eur J Endocrinol. (2006) 155:783–6. doi: 10.1530/eje.1.02295

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Fukao A, Takamatsu J, Arishima T, Tanaka M, Kawai T, Okamoto Y, et al. Graves' disease and mental disorders. J Clin Transl Endocrinol. (2020) 19:100207. doi: 10.1016/j.jcte.2019.100207

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Kirkegaard C, Faber J. The role of thyroid hormones in depression. Eur J Endocrinol. (1998) 138:1–9. doi: 10.1530/eje.0.1380001

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Mason GA, Walker CH, Prange AJ Jr. L-triiodothyronine: is this peripheral hormone a central neurotransmitter? Neuropsychopharmacology. (1993) 8:253–8. doi: 10.1038/npp.1993.28

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Chen DY, Schneider PF, Zhang XS, He ZM, Jing J, Chen TH. Mental health status and factors that influence the course of Graves' disease and antithyroid treatments. Exp Clin Endocrinol Diabetes. (2012) 120:524–8. doi: 10.1055/s-0032-1323807

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Chiovato L, Pinchera A. Stressful life events and Graves' disease. Eur J Endocrinol. (1996) 134:680–2. doi: 10.1530/eje.0.1340680

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Abraham-Nordling M, Lönn S, Wallin G, Yin L, Nyren O, Tullgren O, et al. Hyperthyroidism and suicide: a retrospective cohort study in Sweden. Eur J Endocrinol. (2009) 160:437–41. doi: 10.1530/EJE-08-0749

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Chen HH, Yeh SY, Lin CL, Chang SN, Kao CH. Increased depression, diabetes and diabetic complications in Graves' disease patients in Asia. QJM. (2014) 107:727–33. doi: 10.1093/qjmed/hcu069

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Riguetto CM, Neto AM, Tambascia MA, Zantut-Wittmann DE. The relationship between quality of life, cognition, and thyroid status in Graves' disease. Endocrine. (2019) 63:87–93. doi: 10.1007/s12020-018-1733-y

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Kim H, Kim TH, Kim HI, Park SY, Kim YN, Kim S, et al. Subclinical thyroid dysfunction and risk of carotid atherosclerosis. PLoS ONE. (2017) 12:e0182090. doi: 10.1371/journal.pone.0182090

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Papadopoulou AM, Bakogiannis N, Skrapari I, Moris D, Bakoyiannis C. Thyroid dysfunction and atherosclerosis: a systematic review. In Vivo. (2020) 34:3127–36. doi: 10.21873/invivo.12147

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Iqbal MA, Naseem Z, Ahmad S, Roohi N. Endocrine relation of cardiovascular dysfunction with inflammation in hyperthyroidism. J Biol Regul Homeost Agents. (2021) 35:343–7. doi: 10.1155/2021/9936782

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Mancini A, Di Segni C, Raimondo S, Olivieri G, Silvestrini A, Meucci E, et al. Thyroid hormones, oxidative stress, and inflammation. Mediators Inflamm. (2016) 2016:6757154. doi: 10.1155/2016/6757154

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: atherosclerotic disease, Graves' disease, antithyroid drug, risk factors, drug reduction

Citation: Zhu X, Zhang Y, Zhao X, Zhang X, Ru Z, Wu Y, Yang X, Hou B and Qiao H (2022) The relationship between atherosclerotic disease and relapse during ATD treatment. Front. Cardiovasc. Med. 9:1039829. doi: 10.3389/fcvm.2022.1039829

Received: 08 September 2022; Accepted: 29 September 2022;
Published: 28 October 2022.

Edited by:

Yuehong Wang, Laurentian University, Canada

Reviewed by:

Kaijian Fan, Shanghai Jiao Tong University, China
Ting Ye, Southwest Medical University, China

Copyright © 2022 Zhu, Zhang, Zhao, Zhang, Ru, Wu, Yang, Hou and Qiao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hong Qiao, cWlhb2hvbmcmI3gwMDA0MDtocmJtdS5lZHUuY24=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.