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Research ArticleClinical Studies
Open Access

Thyroid Diseases After Total Knee Replacement: A Multi-center, Propensity-score-matched Cohort Study

CHEN-PI LI, SHAO-WEI LO, CHRISTINE HSU, YUN-FENG LI, RU-YIN TSAI, HUI-CHIN CHANG and SHUO-YAN GAU
In Vivo September 2024, 38 (5) 2446-2454; DOI: https://doi.org/10.21873/invivo.13714
CHEN-PI LI
1Department of Nursing & Tungs’ Taichung MetroHarbor Hospital, Taichung, Taiwan, R.O.C.;
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SHAO-WEI LO
2Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.;
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CHRISTINE HSU
3Education Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan, R.O.C.;
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YUN-FENG LI
4School of Medicine, Chung Shan Medical University, Taichung, Taiwan, R.O.C.;
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RU-YIN TSAI
5Department of Anatomy, School of Medicine, Chung Shan Medical University, Taichung, Taiwan, R.O.C.;
6Department of Medical Education, Chung Shan Medical University Hospital, Taichung, Taiwan, R.O.C.;
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HUI-CHIN CHANG
4School of Medicine, Chung Shan Medical University, Taichung, Taiwan, R.O.C.;
7Evidence-based Medicine Center, Chung Shan Medical University Hospital, Taichung, Taiwan, R.O.C.;
8Library, Chung Shan Medical University Hospital, Taichung, Taiwan, R.O.C.;
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  • For correspondence: changhc01{at}gmail.com
SHUO-YAN GAU
9Department of Business Administration, National Taiwan University, Taipei, Taiwan, R.O.C;
10Orthopedics Department, Chi-Mei Medical Center, Tainan, Taiwan, R.O.C.
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Abstract

Background/Aim: Thyroid diseases are prevalent endocrine disorders that significantly affect overall health. Although the impact of pre-existing thyroid dysfunction on total knee replacement (TKR) outcomes has been studied, the potential for TKR to increase the risk of developing thyroid disorders remains unexplored. Patients and Methods: We examined electronic medical records from a large U.S. research network in the TriNetX research network. The study focused on patients with osteoarthritis, comparing those who had total knee replacement surgery (TKR) between 2005 and 2018 to a non-TKR group who did not have the surgery. Propensity score matching was employed to control for critical confounders. The hazard ratios (HRs) for the risk of thyroid diseases in TKR patients versus non-TKR controls were assessed. Results: Post-matching, the TKR cohort demonstrated a significantly higher risk of developing thyroid diseases compared to the non-TKR cohort (unadjusted HR=1.218, 95%CI=1.169-1.269). This elevated risk persisted after adjusting for confounders (adjusted HR=1.126, 95%CI=1.061-1.196). Stratification analysis indicated that female TKR patients and those aged ≥65 years were at higher risk of developing thyroid diseases than their respective control groups. Conclusion: This study suggests a potential link between TKR and an increased risk of thyroid diseases, particularly among older adults and females. Potential mechanisms include inflammatory processes, surgical stress, autoimmune responses, and pharmacological effects. Healthcare providers should be vigilant in monitoring and managing thyroid dysfunction in TKR patients. Further research is necessary to elucidate the underlying mechanisms and develop preventive strategies.

Key Words:
  • Thyroid
  • thyroid disease
  • hyperthyroidism
  • hypothyroidism
  • cohort
  • epidemiology
  • electronic medical records
  • total knee replacement

Thyroid diseases, such as hyperthyroidism and hypothyroidism, are common endocrine disorders that affect multiple systems and have a substantial impact on overall health and well-being (1). Hypothyroidism is characterized by an inadequate production of thyroid hormone, which causes symptoms, such as fatigue, muscular weakness, weight gain, and high blood cholesterol (2). Moreover, it increases the risk of anemia, arrhythmia, hypotension, and renal and neurological problems (3). The prevalence of diagnosed hypothyroidism is 4.98 per 1,000 person-years among women and 0.88 among men (4). Hyperthyroidism, or excess production of thyroid hormone, can cause weight loss, palpitations, and anxiety (5). It raises the risk of arrhythmias, fever, gastrointestinal problems, mental abnormalities, and cardiovascular decompensation caused by a thyroid storm (6). Thus, understanding the risk factors for thyroid diseases across different populations and contexts is crucial.

One potential trigger for thyroid dysfunction is surgery since it causes physical injury, psychological stress, and inflammation, which are associated with an increased risk of thyroid disorders (7). Total knee replacement (TKR) is a frequently performed surgical intervention aimed at reducing pain and enhancing mobility for individuals suffering from advanced knee osteoarthritis or other degenerative joint conditions (8). While TKR effectively improves quality of life, growing evidence shows it can also cause significant physiological stress and inflammatory responses, potentially disrupting the endocrine equilibrium (9, 10).

The present literature focuses mostly on the impact of pre-existing thyroid disorders on postoperative outcomes of joint replacement procedures such as TKR. A systematic review revealed that hypothyroidism increases the risk of complications after total joint replacement surgery, such as deep vein thrombosis, acute kidney injury, and increased blood loss (11). Several case-control studies showed that individuals with hypothyroidism or with subclinical hypothyroidism had higher rates of hospitalization, surgical site infections, complications, and greater medical costs after undergoing primary TKR surgery (12, 13). These findings emphasize the significance of early detection and treatment of thyroid dysfunction in TKR patients to improve postoperative recovery and long-term outcomes.

While the effect of pre-existing thyroid dysfunction on TKR outcomes has been investigated, the possibility that TKR will increase the risk of thyroid dysfunction remains unknown. To address this gap, we conducted a propensity score matching analysis on a large, statewide database to evaluate the relationship between TKR and the eventual risk of developing thyroid disorders. This study contributes to formulating evidence-based guidelines for the care and follow-up of TKR patients, particularly those at increased risk of thyroid diseases.

Patients and Methods

The present study utilized a retrospective cohort design, drawing upon data from the TriNetX research network, which serves as a comprehensive global database of electronic health records. This network, comprising de-identified and continuously updated health records from numerous healthcare organizations (HCOs), and supports a wide array of research initiatives (14-17). Specifically, the analysis focused on the US collaborative network within TriNetX, encompassing health information from 60 HCOs across the United States, representing a cohort of over 80 million patients. Detailed coding of diagnostic records and medical procedures are outlined in Table I.

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Table I.

Utilized definitions of study population, covariates, and outcome events.

The current study focused on osteoarthritis patients who had multiple doctor visits (more than two) documented in the database between 2005 and 2018. Only individuals greater than 18 years old were included in further analysis (Figure 1). Due to the prospectively updated database, we ensured that each patient had undergone more than five years of follow-up time. Osteoarthritis patients who underwent TKR were classified as the TKR cohort, while those who never underwent TKR were classified as the non-TKR control cohort. The participants who were deceased or diagnosed of any thyroid disease, pituitary gland disease or any cancers before or on the index date were excluded from further analyses. To evaluate the hazard ratio, propensity score matching was utilized for ensuring that potential baseline variables were not considerably different between the two cohorts. In the main analysis, evaluation of HR was performed after matching for critical covariates (Table II), such as age, sex, comorbidities, lab data, and pregnancy status. To account for potential biases, various models (i.e., matching for different covariates and analyze in different timeframes) were applied in sensitivity analyses. Additionally, we explored how factors such as new thyroid problems might affect the outcomes of TKR surgery across different age and sex groups.

Figure 1.
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Figure 1.

Patient selection process.

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Table II.

Baseline characteristics of study subjects before and after propensity score matching.

All analyses were performed using the statistical analytic function of the TriNetX research network. To ensure comparability between the TKR group and the non-TKR control group, baseline characteristics were matched using standardized mean differences (SMD). An SMD value exceeding 0.1 was considered indicative of a significant difference between the two groups. Hazard ratios (HRs) were computed to evaluate the risk of developing thyroid diseases in the TKR group compared to the control group. The 95% confidence intervals (95%CIs) were used to determine the statistical significance of the HRs.

Results

Baseline characteristics of the study participants. Table II shows the information about the participants before and after propensity matching process. Before matching, there were notable differences in several variables between the TKR and control cohorts, including age, race, comorbidities, and body mass index (BMI). However, after propensity score matching on age, sex, race, BMI, laboratory data, comorbidities, lifestyle, socioeconomic status, medical utilization, pregnancy history, and thyroid function-related laboratory data, the SMDs for all variables were less than 0.1, indicating that the matched cohorts were well-balanced. The mean age at index was similar between the matched cohorts (63.4±10.1 years for TKR vs. 63.3±10.2 years for controls). The distribution of sex was also balanced post-matching, with males comprising 41.1% of the TKR cohort and 41.4% of the control cohort. The racial composition was predominantly White in both cohorts (71.8%).

Risk of developing thyroid diseases post TKR. The analysis of thyroid disease risk in patients with TKR compared to non-TKR controls revealed a consistently higher HR across various models (Table III). In the unadjusted Model 1a, TKR patients exhibited an HR of 1.218 (95%CI=1.169-1.269) for all thyroid diseases. This association remained significant but attenuated after adjusting for age, sex, and race in Model 2b (HR=1.132, 95%CI=1.066-1.203) and further adjustment for comorbidities in Model 3c (HR=1.126, 95%CI=1.061-1.196).

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Table III.

Hazard ratio of thyroid dysfunction with 95% confidence interval.

When stratified by disease type, the risk for hyperthyroidism in TKR patients was markedly higher with an HR of 1.294 (95%CI=1.125-1.488) in the unadjusted Model 1a, which persisted across Models 2b (HR=1.277, 95%CI=1.035-1.576) and 3c (HR=1.351, 95%CI=1.091-1.673). Similarly, hypothyroidism showed a higher risk in TKR patients, with the highest HR observed in Model 1a (HR=1.276, 95%CI=1.213-1.343), and the risk remained elevated across Models 2b (HR=1.175, 95%CI=1.091-1.266) and 3c (HR=1.170, 95%CI=1.086-1.260).

Considering various wash-out periods, the risk for all thyroid diseases in TKR patients remained elevated across all models, with the highest HR observed in Model 3f (HR=1.161, 95%CI=1.080-1.248) with a 36-month wash-out period. Hypothyroidism showed a similar pattern of increased risk in TKR patients, with the highest HR in Model 3f (HR=1.194, 95%CI=1.093-1.304). However, hyperthyroidism showed no significant difference between TKR patients and non-TKR patients across all wash-out periods. The Kaplan–Meier plot (Figure 2) demonstrated that the TKR cohort exhibited a significantly higher cumulative probability of all thyroid diseases (HR=1.137, 95%CI=1.071-1.207; log-rank p<0.01) throughout the follow-up duration.

Figure 2.
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Figure 2.

Kaplan–Meier plot of thyroid diseases risk.

Stratification analysis. Stratification analysis revealed sex-specific differences, with female TKR patients showing a higher risk for all thyroid diseases (HR=1.212, 95%CI=1.131-1.299), hyperthyroidism (HR=1.466, 95%CI=1.147-1.875), and hypothyroidism (HR=1.303, 95%CI=1.195-1.421) compared to the control cohort (Table IV). In contrast, male TKR patients showed no difference in risk compared to the control cohort. Age stratification indicated that patients aged ≥65 years had a higher risk for all thyroid diseases (HR=1.174, 95%CI=1.101-1.252), hyperthyroidism (HR=1.424, 95%CI=1.129-1.798), and hypothyroidism (HR=1.215, 95%CI=1.122-1.315) in the TKR cohort compared to the control cohort, which was not observed in patients aged 18-64 years.

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Table IV.

Stratification analysis of thyroid diseases in total knee replacement patients.

Discussion

Thyroid diseases are prevalent endocrine disorders that have significant implications for overall health and well-being (1). The purpose of this propensity score-matched study was to evaluate the risk of developing thyroid diseases post-TKR. The results revealed a mild yet consistent association between TKR and an increased risk of developing thyroid diseases.

In the crude analysis, TKR patients had a greater HR for all thyroid disorders that remained significant but attenuated after adjusting for demographics and comorbidities. The risk of thyroid diseases in TKR patients remains higher than that in non-TKR controls across all wash-out periods, which indicates the long-term association, rather than the short-term post-surgical effect. However, hyperthyroidism showed no significant difference between TKR and non-TKR patients across all wash-out periods, indicating that new-onset hyperthyroidism is mostly associated with the shortest-term postoperative phase, typically within the first 12 months following surgery. The Kaplan–Meier analysis revealed a higher cumulative probability of all thyroid diseases, hypothyroidism, and hyperthyroidism in the TKR group during the follow-up period. This finding further supports the significance of TKR as a potential risk factor for thyroid diseases.

The exact mechanism behind the link between TKR and the augmented risk of thyroid diseases is not fully understood, yet several possible mechanisms have been proposed. The surgical intervention of TKR is known to induce an inflammatory response and alter the immune system function (9); this may disrupt the regulation of thyroid hormones, leading to thyroid dysfunction. Such disruption could occur via multiple pathways, such as the hypothalamus-pituitary-thyroid (HPT) axis, modification of thyroid hormone metabolism, autoimmune reactions, and hormone activity changes at the cellular level. Surgery can damage tissues, triggering patients’ natural defense system and innate immune cells (i.e., macrophages and neutrophils). These cells release pro-inflammatory cytokines that can disrupt the production of thyroid hormones, potentially leading to an underactive thyroid function (18, 19). Moreover, these pro-inflammatory cytokines, such as IL-1β, IL-6, and TNF-α may cause the up-regulation of deiodinase enzymes that are responsible for converting thyroxine (T4) into its active form, triiodothyronine (T3), or its inactive counterpart, reverse T3 (rT3) (20, 21). Overactivation of deiodinase can result in non-thyroidal illness syndrome (NTIS) or euthyroid sick syndrome, a disorder presenting low T3 and high rT3 levels (21). Additionally, the inflammatory cascade can lead to the activation of autoreactive T cells by disrupting the mechanisms that maintain self-tolerance, allowing autoreactive T cells to proliferate, and further differentiate into effector cells capable of the production of autoantibodies against thyroid antigens, such as thyroglobulin and thyroid peroxidase (anti-TPO), thereby initiating or aggravating autoimmune thyroid diseases (22).

TKR also triggers a systemic stress response that involves metabolic and hormonal changes in the body. This stress response is characterized by the release of hormones, such as cortisol and catecholamine, which could disturb normal thyroid hormone metabolism (23). The rise in cortisol and catecholamines decreases the production of TRH, which then results in a reduction in TSH secretion, and the overall production of thyroid hormones (24). Moreover, cortisol interferes with the metabolic pathway of thyroid hormones, especially the conversion of T4 to its metabolically active form, T3. High levels of cortisol can decrease the conversion rate, which leads to a decrease in the amount of active thyroid hormone for the body’s metabolic processes (24). In addition, the release of stress hormones can intensify autoimmune reactions, thus triggering or aggravating autoimmune thyroid disease (25).

Perioperative medications, for instance, NSAIDs and corticosteroids, have a significant impact on thyroid function, and in turn, increase the risk of thyroid diseases. NSAIDs can displace thyroid hormones (T4 and T3) from their binding sites on plasma proteins including thyroxine-binding globulin (TBG), increasing free (unbound) thyroid hormones in the blood (26). Some of the NSAIDs, such as aspirin, salicylate, and meclofenamate have been found to decrease the levels of total T4, free T4, total T3, and free T3 after a single dose or repeated administration (27). Moreover, long-term use of NSAIDs, especially among those with detectable anti-TPO, is associated with an increased risk of irreversible hypothyroidism due to its detrimental effects on thyroid gland functionality (28). Corticosteroids’ effects mirror stress-induced cortisol, as previously discussed.

Our findings also showed that the effect of TKR on thyroid dysfunction risk was modified by age and sex. Patients aged 65 or older who underwent TKR have an increased risk of all thyroid diseases, hyperthyroidism, and hypothyroidism. In addition, female patients who underwent TKR had a greater risk of thyroid diseases than their non-TKR counterparts, which was not seen in male patients. Such age and sex-related differences may be attributed to several factors. First, elderly people and women are inherently more susceptible to thyroid diseases as evidenced by the higher prevalence of thyroid disorders in these populations (29, 30). With advancing age, the thyroid gland changes both structure and function and hence becomes more vulnerable to external influences, including surgery and medications (31). Furthermore, age-related changes in drug metabolism and clearance can lead to higher circulating levels of medications used during and after TKR, some of which may interfere with thyroid function (32). Women are predisposed to autoimmune conditions that affect the thyroid gland. The increased risk of thyroid dysfunction in women following TKR could stem from a pre-existing higher likelihood of autoimmune thyroid diseases, such as Hashimoto’s thyroiditis or Graves’ disease (33, 34). Surgical stress and the consequent inflammatory response may activate or intensify these conditions. Furthermore, female sex hormones, especially estrogen, are known to affect thyroid function (35). Stress induced by TKR may cause changes in estrogen levels, potentially impacting thyroid hormone dynamics and metabolism (35). Finally, the response to TKR-associated factors like surgical stress, anesthesia, pain management, and recuperation may differ between females and older adults (36, 37). For instance, these groups often necessitate increased dosages of analgesics for effective pain relief, which could predispose them to thyroid dysfunction (36, 37).

To our knowledge, our study is the first study investigating the risk for thyroid disease post-TKR. Our study had many strengths. First, we used a large sample size that increased the statistical power and precision of our estimates. Second, we applied propensity score matching to balance the baseline characteristics of the TKR and control groups and to reduce the confounding bias.

Study limitations. First, we could not eliminate the possibility of misclassification bias and residual confounding, as the aforementioned biases were commonly observed in real-world studies and could potentially influence the incidence of outcome events (38, 39). In the current dataset, administrative codes were widely utilized to serve as the definition of diseases, medication prescriptions, and procedures. Misclassification bias could exist due to the inherent weaknesses of an electronic health records study, such as incomplete or inaccurate data. Second, the high proportion of white participants in our study (71.8%) indicates the necessity of further research involving different ethnic groups.

Despite these limitations, our study provides important clinical implications for the management of patients undergoing TKR. Several studies have reported that thyroid dysfunction is associated with postoperative complications (11-13). Failure to recognize or address these issues may lead to a significant reduction in the quality of life of patients undergoing TKR. Thus, the thyroid function should be monitored both before and after the surgical intervention to prevent and treat thyroid diseases in time. The identification of risk factors, such as age and sex, can aid in the development of personalized care plans and targeted interventions for high-risk patient populations. Further research should be conducted to elucidate the potential pathophysiology between TKR and thyroid dysfunction and the effect of different surgical techniques, implant materials, and rehabilitation programs on thyroid function. Furthermore, further long-term follow-up studies are needed to monitor the recurrence and progression of thyroid conditions in TKR patients over time and to determine the treatment efficacy of preventive and therapeutic measures.

Conclusion

In conclusion, our study highlights the association between TKR and an increased risk of developing thyroid diseases, especially in older adults and females. The possible mechanisms for this association include inflammatory processes, surgical stress, autoimmune processes, and pharmacological effects. Healthcare professionals should be aware of this potential risk when taking care of TKR patients and consider adequate monitoring and treatment of thyroid abnormalities in this cohort of patients. Future studies should be aimed at identifying the mechanistic pathways between TKR and thyroid diseases and possible prevention methods.

Footnotes

  • Authors’ Contributions

    All the Authors were involved in drafting or revising the article and approved of the submitted version. Study conception and design: Chang HC, Lo SW, Christine Hsu, Tsai RY, Li CP, Li YF, Gau SY. Data acquisition: Chang HC and Gau SY. Data analysis and demonstration: Chang HC, Li CP, Lo SW, Christine Hsu and Gau SY. Original draft preparation: Chang HC, Lo SW, Christine Hsu, Tsai RY, Li CP, Li YF, Gau SY.

  • Conflicts of Interest

    The Authors have no conflicts of interest to declare in relation to this study.

  • Funding

    This work was supported by a grant from Tungs’ Taichung MetroHarbor Hospital (TTMHH-R1130083; Business ID number: 45485578).

  • Received June 11, 2024.
  • Revision received July 7, 2024.
  • Accepted July 8, 2024.
  • Copyright © 2024 The Author(s). Published by the International Institute of Anticancer Research.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0).

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In Vivo: 38 (5)
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Vol. 38, Issue 5
September-October 2024
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Thyroid Diseases After Total Knee Replacement: A Multi-center, Propensity-score-matched Cohort Study
CHEN-PI LI, SHAO-WEI LO, CHRISTINE HSU, YUN-FENG LI, RU-YIN TSAI, HUI-CHIN CHANG, SHUO-YAN GAU
In Vivo Sep 2024, 38 (5) 2446-2454; DOI: 10.21873/invivo.13714

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Thyroid Diseases After Total Knee Replacement: A Multi-center, Propensity-score-matched Cohort Study
CHEN-PI LI, SHAO-WEI LO, CHRISTINE HSU, YUN-FENG LI, RU-YIN TSAI, HUI-CHIN CHANG, SHUO-YAN GAU
In Vivo Sep 2024, 38 (5) 2446-2454; DOI: 10.21873/invivo.13714
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Keywords

  • Thyroid
  • thyroid disease
  • hyperthyroidism
  • hypothyroidism
  • cohort
  • epidemiology
  • electronic medical records
  • total knee replacement
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