Perioperative Management for Non-Thyroidal Surgery in Thyroid Dysfunction

Rectal thionamide administration in the setting of thyroid storm: a case report and review of the literature

Summary

Thyroid storm is a clinical diagnosis characterized by life-threatening multisystemic organ involvement in the setting of uncontrolled hyperthyroidism. Current estimates suggest a mortality rate of up to 30%. Treatment often consists of the administration of thionamide medications, iodine solution(s), corticosteroids, and beta-blockers; in extreme circumstances, both plasmapheresis and thyroidectomy are subsequent therapeutic options. Thionamides are typically administered orally, with the intent of preventing further thyroid hormone synthesis; however, in the literature, there are instances whereby oral access cannot be obtained, and alternative routes of administration are required. We present a case of a patient who presented with a thyroid storm due to lack of adherence to methimazole. During admission, he was found to have significant abdominal pain and ultimately a duodenal perforation requiring strict nil-per-os (NPO) status, due to which he was unable to receive oral thionamides. Due to the lack of availability of intravenous formulations of thionamides in the United States, this patient was treated with an enema compound of propylthiouracil for a total of five per rectum (PR) doses. He would later develop hepatocellular injury, requiring discontinuation and eventual transition to oral methimazole. The literature pertaining to alternative-route thionamide administration is scant, and therefore this case report and literature review is written to provide an up-to-date review and further educate all levels of clinicians about this infrequent (but emergent) situation.

Learning points

Thyroid storm is a clinical diagnosis for which urgent recognition is required to prevent untoward mortality. Treatment for thyroid storm requires prompt administration of thionamides, iodine, corticosteroids, and beta-blockers. In extreme circumstances, treatment considerations include plasmapheresis and thyroidectomy. Infrequently, patients with a thyroid storm may not be able to tolerate oral medications, for which alternative routes of access are required. Currently, available alternatives include intravenous methimazole (in Europe and Japan), as well as both enema and suppository preparations of propylthiouracil and methimazole.

Diagnostic Accuracy of Fine-Needle Aspiration Cytology (FNAC) in Thyroid Nodule Excision Cases

INTRODUCTION

Fine needle aspiration cytology (FNAC) for thyroid nodules has a high diagnostic accuracy, according to several studies worldwide. Patients who experienced preoperative FNAC had more optimal surgical treatment than others who did not perform FNAC. Therefore, achieving an accurate FNAC procedure appears to be an important tool for the proper management of thyroid nodules. We aimed to study the accuracy and challenges of the thyroid FNAC diagnostic tool in the Al-Baha region, Kingdom of Saudi Arabia.

METHODS

The study involves 52 patients with thyroid nodules who underwent preoperative FNAC and postoperative histopathology with the same surgery and pathology team at Al-Baha region in 2022-2023.

RESULTS AND CONCLUSION

The mean age of the included patients was 47.7 years, with a female predominance. The diagnostic accuracy was 90%, and the main cause of inaccurate diagnosis was processing challenges, where the majority of cases were taken on the palpation-only technique, a few cases were ultrasound-guided, and the only technique used in the laboratory was conventional smears. The applied interrater reliability Cohen kappa coefficient (κ) for the clinical-histopathological agreement was "moderate agreement". We recommend using and evaluating more cytological techniques in addition to the currently used conventional smears in pathology laboratories to enhance the efficacy of the FNAC diagnosis of thyroid lesions.

A Comparative Analysis of AI Models in Complex Medical Decision-Making Scenarios: Evaluating ChatGPT, Claude AI, Bard, and Perplexity

This study rigorously evaluates the performance of four artificial intelligence (AI) language models - ChatGPT, Claude AI, Google Bard, and Perplexity AI - across four key metrics: accuracy, relevance, clarity, and completeness. We used a strong mix of research methods, getting opinions from 14 scenarios. This helped us make sure our findings were accurate and dependable. The study showed that Claude AI performs better than others because it gives complete responses. Its average score was 3.64 for relevance and 3.43 for completeness compared to other AI tools. ChatGPT always did well, and Google Bard had unclear responses, which varied greatly, making it difficult to understand it, so there was no consistency in Google Bard. These results give important information about what AI language models are doing well or not for medical suggestions. They help us use them better, telling us how to improve future tech changes that use AI. The study shows that AI abilities match complex medical scenarios.