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To illustrate successful reversal of hypertriglyceridemia using a very-low-carbohydrate ketogenic diet in conjunction with intermittent fasting in two patients.

Hypertriglyceridemia remains an important component of residual risk for atherosclerotic cardiovascular disease. Current guidelines from the AHA/ACC recommend the initiation of a very-low-fat diet to treat persistently elevated triglycerides, whereas the National Lipid Association argues that a very-low-carbohydrate, high-fat diet is contraindicated in severe hypertriglyceridemia. In contrast, we report resolution of two cases of severe hypertriglyceridemia with implementation of very-low-carbohydrate ketogenic diets and intermittent fasting.

Here, we describe two patients who have demonstrated substantial reductions in serum triglycerides, effectively reversing severe hypertriglyceridemia using unconventional dietary methods. Although anecdotal, these cases point to a critical lack of flexibility in current dietary guidelines that hinder their application in clinical practice.
Here, we describe two patients who have demonstrated substantial reductions in serum triglycerides, effectively reversing severe hypertriglyceridemia using unconventional dietary methods. DS-3032b ic50 Although anecdotal, these cases point to a critical lack of flexibility in current dietary guidelines that hinder their application in clinical practice.
This study will provide a narrative review of the history of the clinical use of low-carbohydrate diets and give a practical example of how to implement a low-carbohydrate diet, with an emphasis on deprescribing medications.

Low-carbohydrate diets have been used since the late 19th century to treat obesity and type 2 diabetes mellitus (T2DM). Recently, clinical research has validated the use of low-carbohydrate diets for individuals affected by obesity and T2DM, and these diets are included in several national clinical guidelines. Because medications are commonly used to treat hypertension and T2DM, special consideration must be made to monitor and reduce these medications to avoid overmedication. Clinic visits and home monitoring of blood pressure and glucose levels are important tools to alert clinicians that a reduction in medication levels may be indicated.

Low-carbohydrate diets have been utilized clinically for many years to treat obesity and T2DM and can be used alongside effective monitoring to safely deprescribe dispensable medications for these diseases.
Low-carbohydrate diets have been utilized clinically for many years to treat obesity and T2DM and can be used alongside effective monitoring to safely deprescribe dispensable medications for these diseases.
The aim of the article is to present the basics of oral levothyroxine (LT4) absorption, reasons why patients may have persistently elevated serum thyroid stimulation hormone (TSH) levels, and alternative strategies for LT4 dosing.

Although oral LT4 tablets are most commonly used for thyroid hormone replacement in patients with hypothyroidism, case studies report that liquid oral LT4, intravenous, intramuscular, and rectal administration of LT4 can successfully treat refractory hypothyroidism.

Hypothyroidism is one of the most common endocrine disorders encountered by primary care physicians and endocrinologists. LT4 is one of the most widely prescribed medications in the world and it is the standard of care treatment for hypothyroidism. Generally, hypothyroid patients will be treated with LT4 tablets to be taken orally, and monitoring will occur with routine serum thyroid tests, including TSH concentrations. However, many patients fail to maintain serum TSH levels in the target range while managed on orpothyroidism. For these patients, optimization of ingestion routines and alternative formulations and routes of administration of LT4 can be considered, including oral liquid, intravenous, intramuscular, and even rectal formulations.
Current methods for thyroid nodule risk stratification are subjective, and artificial intelligence algorithms have been used to overcome this shortcoming. In this review, we summarize recent developments in the application of artificial intelligence algorithms for estimating the risks of malignancy in a thyroid nodule.

Artificial intelligence have been used to predict malignancy in thyroid nodules using ultrasound images, cytopathology images, and molecular markers. Recent clinical trials have shown that artificial intelligence model's performance matched that of experienced radiologists and pathologists. Explainable artificial intelligence models are being developed to avoid the black box problem. Risk stratification algorithms using artificial intelligence for thyroid nodules are now commercially available in many countries.

Artificial intelligence models could become a useful tool in a thyroidolgist's armamentarium as a decision support tool. Increased adoption of this emerging technology will depend upon increased awareness of the potential benefits and pitfalls in using artificial intelligence.
Artificial intelligence models could become a useful tool in a thyroidolgist's armamentarium as a decision support tool. Increased adoption of this emerging technology will depend upon increased awareness of the potential benefits and pitfalls in using artificial intelligence.
In this review, we evaluate recent findings related to the association between obesity and thyroid cancer.

During the last several decades, the prevalence of obesity and thyroid cancer have been increasing in parallel on a global scale. Current evidence suggests that the growing incidence of differentiated thyroid cancer (DTC) is pathogenically linked to the spread of obesity, but the biological mechanisms that may explain this connection have been only partially described. Furthermore, unlike other tumors, data on the impacts of obesity on the aggressiveness of DTC and response to treatment of DTC remain conflicting.

Emergent knowledge regarding the links between obesity and thyroid cancer suggests a relevant role for obesity as a risk factor for DTC, with no apparent impact on its aggressiveness.
Emergent knowledge regarding the links between obesity and thyroid cancer suggests a relevant role for obesity as a risk factor for DTC, with no apparent impact on its aggressiveness.
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