Citations

Abstract Background Levothyroxine (LT4) monotherapy is the standard treatment for hypothyroidism; however, 10–15% of patients have persistent hypothyroid symptoms despite normalizing thyroid hormone levels with LT4. This study aims to summarize the best available evidence on interventions to improve symptomatology in patients with hypothyroidism and persistent symptoms. Methods A systematic search was conducted in March 2022 for randomized controlled trials (RCTs) and observational studies on interventions for adult patients with persistent hypothyroid symptoms despite biochemical euthyroidism on thyroid hormone replacement. Results Of 277 articles, seven fulfilled the inclusion criteria. 455 participants were included. Most intervention participants were female (78.6%) with a mean age of 47.5 years. Five clinical trials evaluating ginger (vs. starch), L-carnitine (vs. placebo), combination LT4 and liothyronine (LT3) (vs. LT4 or placebo), and surgery for patients with serum antithyroid peroxidase (TPO Ab) titers greater than 1000 IU/ml (vs. LT4) found inconsistent improvement in hypothyroidism related symptoms and general health. Of these clinical trials, the use of ginger and surgery showed the largest improvements in fatigue scores. One observational study comparing thyroidectomy vs observation found no impact difference on general health. Lastly, another observational study evaluating combination LT4/LT3 (vs. LT4 monotherapy) found improvement in fatigue and QoL. There were 31 (12%) adverse events in the intervention group and 18 (10.8%) in the comparator group. Conclusions There is no high-quality evidence supporting any intervention for persistent symptoms in hypothyroidism. Available evidence, limited by the risk of bias, inconsistency, and heterogeneity, suggests that some persistent symptoms, particularly fatigue, could improve with ginger and thyroidectomy. Trial registry number:PROSPERO (CRD42022318720)

Abstract Disclosure: S. Maraka: None. R. Owen: None. N.M. Singh Ospina: None. M. Knox: None. T. Dodds: None. H. Spencer: None. A. Albashaireh: None. A. Shah: None. S. Syed: None. S. Naqvi: None. H. Motahari: None. S. Thumma: None. E. Ambrogini: None. J.P. Brito: None. Objective: Levothyroxine (LT4) therapy has not been shown to improve quality of life (QoL), thyroid-related symptoms, cardiovascular events, or mortality for patients with subclinical hypothyroidism (SCH) in clinical trials. We conducted this pilot, double-blind, placebo-controlled clinical trial to evaluate the effects of LT4 discontinuation among adults with SCH. Methods: We aimed to randomize 50 adults 1:1 to continue receiving LT4 (25-75 mcg/day) for SCH or discontinue it (switch to placebo). The primary outcome was feasibility. Secondary outcomes included changes in QoL measures (Thyroid-specific QoL Patient-Reported Outcome [ThyPRO]-Hypothyroid Symptoms and Tiredness scores, EuroQoL 5-Dimension Self-Report Questionnaire [EQ-5D]) assessed at baseline and 6 months post-randomization, and incidence of adverse events (overt hypothyroidism, hyperthyroidism, atrial fibrillation, stroke, acute coronary syndrome, heart failure, fracture, mortality). Higher scores for ThyPRO indicate more symptoms and tiredness and for EQ-5D, better health state. Data are reported as mean (standard deviation). Analysis of covariance model adjusting for age and baseline measure of the variable was performed for the outcomes based on the intention-to-treat principle. Results: Fifty participants were enrolled (33% recruitment rate); 24 were randomized to the LT4 and 26 to the discontinuation group. Five patients were excluded post-randomization due to lack of ascertainment of SCH diagnosis (final N=45; 21 LT4, 24 discontinuation). There was no statistically significant difference at baseline between the discontinuation and LT4 groups in age [65.7 (10.6) vs. 71.0 (7.9) yrs], gender (male 75 vs. 86%), LT4 dose (25 mcg; 29.2 vs. 33.3%, 50 mcg; 54.2 vs. 47.6%, 75 mcg; 16.7 vs. 19.0%), TSH [3.1 (1.0) vs. 3.2 (1.4) mIU/L], TPOAb positivity (17 vs. 19%), ThyPRO-Hypothyroid Symptoms [27.1 (20.4) vs. 21.1 (18.4)] and Tiredness score [33.2 (23.7) vs. 31.1 (23.9)], and EQ-5D [0.746 (0.229) vs. 0.758 (0.193)]. A patient in the discontinuation group withdrew for personal reasons (98% completion rate). Two patients in the discontinuation group met study criteria to restart LT4 (TSH>10 mIU/L; n=1, fatigue; n=1). At final visit, 34.8% of patients in the discontinuation group had mild SCH compared to 9.5% of patients on LT4 (p=0.07). There was no statistically significant difference between the discontinuation and LT4 groups in ThyPRO-Hypothyroid Symptoms [28.3 (22.8) vs. 22.9 (19.5)], Tiredness [27.6 (22.8) vs. 32.8 (22.1)], and EQ-5D score [0.750 (0.232) vs. 0.741 (0.180)]. A patient suffered rib fracture (placebo); no other adverse event of interest was reported. Conclusion: This pilot clinical trial showed the feasibility and safety of discontinuing LT4 in patients with SCH. These findings support proceeding with a larger multi-site clinical trial to fully assess the effects of LT4 discontinuation. Presentation: Thursday, June 15, 2023

Abstract Context Levothyroxine is one of the most prescribed medications in the United States. Objective This study explores the appropriateness of levothyroxine prescriptions. Methods A retrospective multicenter study was conducted on adult patients who were prescribed levothyroxine for the first time between 2017 and 2020 at three academic centers in the United States. We classified each case of levothyroxine initiation into one of three mutually exclusive categories: appropriate (clinically supported), indeterminate (clinically unclear), or nonevidence based (NEB, not clinically supported). Results A total of 977 participants were included. The mean age was 55 years (SD 19), there was female (69%) and White race predominance (84%), and 44% had possible hypothyroid symptoms. Nearly half of the levothyroxine prescriptions were considered NEB (528, 54%), followed by appropriate (307, 31%) and indeterminate (118, 12%). The most common reason for NEB prescription was an index thyrotropin (TSH) value of less than 10 mIU/L without previous TSH or thyroxine values (131/528, 25%), for appropriate prescription, was overt hypothyroidism (163/307, 53%), and for an indeterminate prescription was a nonconfirmed subclinical hypothyroidism with TSH greater than or equal to 10 mIU/L (no confirmatory testing) (51/118, 43%). In multivariable analysis, being female (odds ratio [OR]: 1.3; 95% CI, 1.0-1.7) and prescription by a primary care provider (OR: 1.5; 95% CI, 1.2-2.0) were associated with NEB prescriptions. Conclusion There is a considerable proportion of NEB levothyroxine prescriptions. These results call for additional research to replicate these findings and to explore the perspective of those prescribing and receiving levothyroxine.

AbstractBackgroundUltrasound risk stratification can improve the care of patients with thyroid nodules by providing a structured and systematic approach for the evaluation of thyroid nodule features and thyroid cancer risk. The optimal strategies to support implementation of high quality thyroid nodule risk stratification are unknown. This study seeks to summarise strategies used to support implementation of thyroid nodule ultrasound risk stratification in practice and their effects on implementation and service outcomes.MethodsThis is a systematic review of studies evaluating implementation strategies published between January 2000 and June 2022 that were identified on Ovid MEDLINE, Ovid EMBASE, Ovid Cochrane, Scopus, or Web of Science. Screening of eligible studies, data collection and assessment for risk of bias was completed independently and in duplicate. Implementation strategies and their effects on implementation and service outcomes were evaluated and summarised.ResultsWe identified 2666 potentially eligible studies of which 8 were included. Most implementation strategies were directed towards radiologists. Common strategies to support the implementation of thyroid nodule risk stratification included: tools to standardise thyroid ultrasound reports, education on thyroid nodule risk stratification and use of templates/forms for reporting, and reminders at the point of care. System based strategies, local consensus or audit were less commonly described. Overall, the use of these strategies supported the implementation process of thyroid nodule risk stratification with variable effects on service outcomes.ConclusionsImplementation of thyroid nodule risk stratification can be supported by development of standardised reporting templates, education of users on risk stratification and reminders of use at the point of care. Additional studies evaluating the value of implementation strategies in different contexts are urgently needed.

Introduction Decision aids (DAs) are helpful instruments used to support shared decision making (SDM). Patients with atrial fibrillation (AF) face complex decisions regarding stroke prevention strategies. While a few DAs have been made for AF stroke prevention, an encounter DA (EDA) and patient DA (PDA) have not been created to be used in conjunction with each other before. Design Using iterative user-centered design, we developed 2 DAs for anticoagulation choice and stroke prevention in AF. Prototypes were created, and we elicited feedback from patients and experts via observations of encounters, usability testing, and semistructured interviews. Results User testing was done with 33 experts (in AF and SDM) and 51 patients from 6 institutions. The EDA and PDA underwent 1 and 4 major iterations, respectively. Major differences between the DAs included AF pathophysiology and a preparation to meet with the clinician in the PDA as well as different language throughout. Content areas included personalized stroke risk, differences between anticoagulants, and risks of bleeding. Based on user feedback, developers 1) addressed feelings of isolation with AF, 2) improved navigation options, 3) modified content and flow for users new to AF and those experienced with AF, 4) updated stroke risk pictographs, and 5) added structure to the preparation for decision making in the PDA. Limitations These DAs focus only on anticoagulation for stroke prevention and are online, which may limit participation for those less comfortable with technology. Conclusions Designing complementary DAs for use in tandem or separately is a new method to support SDM between patients and clinicians. Extensive user testing is essential to creating high-quality tools that best meet the needs of those using them. Highlights First-time complementary encounter and patient decision aids have been designed to work together or separately. User feedback led to greater structure and different experiences for patients naïve or experienced with anticoagulants in patient decision aids. Online tools allow for easier dissemination, use in telehealth visits, and updating as new evidence comes out.

Introduction: Shared decision-making (SDM) about anticoagulant treatment in patients with atrial fibrillation (AF) is widely recommended but its effectiveness is unclear. We assessed the extent to which using an SDM tool promotes high-quality SDM. Hypothesis: SDM will improve communication quality, knowledge, and decisional conflict and will translate to improved medication adherence and outcomes. Methods: In this multicentre encounter-randomized trial, we included patients with nonvalvular AF considering starting/reviewing anticoagulation, and their clinicians. We compared usual care with or without ANTICOAGULATION CHOICE, an SDM conversation tool for use during the clinical encounter that presents individualized risk estimates and compares anticoagulation options across patient important issues. Results: We enrolled and video-recorded 922 patient-clinician encounters. So far, our data have shown that participants in both arms reported near-optimal communication quality, knowledge, and decisional conflict (JAMA IM-2020). Patients in intervention-arm estimated their stroke risks more accurately and were more involved in decision-making (JAMA IM-2020), clinicians were more satisfied (JAMA IM-2020), and cost conversation were more common (JAMA NO-2021). Use of the intervention had no effect on treatment decisions, encounter duration (JAMA IM-2020), treatment adherence, clinical outcomes (JAHA-epub) or patient-perceived sense of the care plan (PEC-epub). New analyses have shown that compared to eligible white participants, black participants more frequently did not enrol to the study. Enrolment of Black, indigenous, and people of colour benefited most form including and prioritizing practices most likely to care for them. We found no evidence of contamination (tool use, functional, or learned) between study arms. Conclusions: Use of an SDM tool improved some measures of SDM quality, without affecting treatment decisions and their sensibility, encounter duration, patient adherence, or clinical outcomes. Our results should calibrate expectations as to what could be accomplished by implementing SDM tools about anticoagulation in the care of patients with AF

Purpose of review Thyroid ultrasound (TUS) is a common diagnostic test that can help guide the management of patients with thyroid conditions. Yet, inappropriate use of TUS can lead to harmful unintended consequences. This review aims to describe trends in the use and appropriateness of TUS in practice, drivers and consequences of inappropriate use, and potential solutions to decrease overuse. Recent findings TUS use has increased in the U.S. and is associated with increased diagnosis of thyroid cancer. Between 10–50% of TUSs may be ordered outside of clinical practice recommendations. Patients who receive an inappropriate TUS and are incidentally found to have a thyroid nodule may experience unnecessary worry, diagnostic interventions, and potential overdiagnosis of thyroid cancer. The drivers of inappropriate TUS use are not yet fully understood, but it is likely that a combination of clinician, patient, and healthcare system factors contribute to this problem. Summary Inappropriate TUS is a factor leading to the overdiagnosis of thyroid nodules and thyroid cancer, resulting in increased healthcare costs and potential harm to patients. To effectively address the overuse of this diagnostic test, it is necessary to gain a deeper understanding of the frequency of inappropriate TUS use in clinical practice and the factors that contribute to it. With this knowledge, interventions can be developed to reduce the inappropriate use of TUS, leading to improved patient outcomes and more efficient use of healthcare resources.

Background: The use of artificial intelligence (AI) in health care has grown exponentially with the promise of facilitating biomedical research and enhancing diagnosis, treatment, monitoring, disease prevention, and health care delivery. We aim to examine the current state, limitations, and future directions of AI in thyroidology. Summary: AI has been explored in thyroidology since the 1990s, and currently, there is an increasing interest in applying AI to improve the care of patients with thyroid nodules (TNODs), thyroid cancer, and functional or autoimmune thyroid disease. These applications aim to automate processes, improve the accuracy and consistency of diagnosis, personalize treatment, decrease the burden for health care professionals, improve access to specialized care in areas lacking expertise, deepen the understanding of subtle pathophysiologic patterns, and accelerate the learning curve of less experienced clinicians. There are promising results for many of these applications. Yet, most are in the validation or early clinical evaluation stages. Only a few are currently adopted for risk stratification of TNODs by ultrasound and determination of the malignant nature of indeterminate TNODs by molecular testing. Challenges of the currently available AI applications include the lack of prospective and multicenter validations and utility studies, small and low diversity of training data sets, differences in data sources, lack of explainability, unclear clinical impact, inadequate stakeholder engagement, and inability to use outside of the research setting, which might limit the value of their future adoption. Conclusions: AI has the potential to improve many aspects of thyroidology; however, addressing the limitations affecting the suitability of AI interventions in thyroidology is a prerequisite to ensure that AI provides added value for patients with thyroid disease.