Liver Tests in Hyperthyroidism: Effect of Antithyroid Therapy

Gürlek, Alper; Çobankara, Veli; Bayraktar, Miyase

doi:10.1097/00004836-199704000-00013

Cited by 58 publications

(54 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These disturbances are attributed to a hypoxic state with disproportionately increased liver activity compared to blood flow [41] . Mild elevation of alkaline phosphatase is encountered in up to 64% of patients with hyperthyroidism [42][43][44] . This elevation is not specific to the liver since a high turnover in bones may contribute.…”

Section: Livermentioning

confidence: 99%

Consequences of dysthyroidism on the digestive tract and viscera

Daher¹,

Yazbeck²,

Jaoude³

et al. 2009

WJG

View full text Add to dashboard Cite

Thyroid hormones define basal metabolism throughout the body, particularly in the intestine and viscera. Gastrointestinal manifestations of dysthyroidism are numerous and involve all portions of the tract. Thyroid hormone action on motility has been widely studied, but more complex pathophysiologic mechanisms have been indicated by some studies although these are not fully understood. Both thyroid hormone excess and deficiency can have similar digestive manifestations, such as diarrhea, although the mechanism is different in each situation. The liver is the most affected organ in both hypo-and hyperthyroidism. Specific digestive diseases may be associated with autoimmune thyroid processes, such as Hashimoto's thyroiditis and Grave's disease. Among them, celiac sprue and primary biliary cirrhosis are the most frequent although a clear common mechanism has never been proven. Overall, thyroidrelated digestive manifestations were described decades ago but studies are still needed in order to confirm old concepts or elucidate undiscovered mechanisms. All practitioners must be aware of digestive symptoms due to dysthyroidism in order to avoid misdiagnosis of rare but potentially lethal situations.

show abstract

Section: Livermentioning

confidence: 99%

Consequences of dysthyroidism on the digestive tract and viscera

Daher¹,

Yazbeck²,

Jaoude³

et al. 2009

WJG

View full text Add to dashboard Cite

show abstract

“…17,18) It is also known that patients with hyperthyroidism often show elevation in AST and ALT. 25) It is noteworthy that ALP, AST, ALT and T-Cho were included in the variables rated in the present study as useful in the diagnosis of hyperthyroidism using neural networks. The results of the present study using neural networks additionally indicate a large impact of S-Cr (to which physicians usually did not pay close attention) on the accurate diagnosis of hyperthyroidism.…”

Section: Resultsmentioning

confidence: 94%

Assisting the Diagnosis of Thyroid Diseases with Bayesian-Type and SOM-Type Neural Networks Making Use of Routine Test Data

Hoshi

Kawakami

Sato

et al. 2006

CHEMICAL & PHARMACEUTICAL BULLETIN

View full text Add to dashboard Cite

Both classification problems and QSAR analyses of drugs have been better studied by the multi-layer feedforward neural networks with back-propagation learning than the classical methods in pattern recognition such as linear multiple regression or adaptive least square method, since those problems often involve nonlinear relationships between descriptors and the class (/activity). [1][2][3] Recently Bayesian regularized neural networks (BRNN), [4][5][6][7] which extends back-propagation learning algorithm in order to overcome its defects such as the problems of local trapping, overfitting etc. by introducing probabilistic treatment of the Bayesian inference technique for the synaptic weights, has been successfully applied for QSAR studies 8,9) even for massive sample data. 10)Analytical chemistry is often concerned with the classification of samples into groups on the basis of chemical results while such classification process is called diagnosis if these groups are pathological cases. In the previous work 11) we analyzed the human thyroid data as the three class classification problem, that is, diagnosis by using two notable approaches, the Bayesian regularized neural networks and the self-organizing map. [12][13][14] The former presented the high classification rates and a nice soft pruning if ARD method is swichted on. The SOM enabled nicely to grasp characteric features of thyroid function from the map of well clustered thyroid patients owing to data-visualization. These results ensured that both approaches are superior to statistical analysis based on conventional multivariate analysis techniques, and would be helpful in diagnosing thyroid function based on laboratory tests. Therefore, we now try to assist the diagnosis of thyroid diseases making use of the recent clinical examination data.Conventionally, multivariate analysis has been frequently used for analyzing data on medical care.15) This kind of analysis is implicitly based on the assumption that the sample shows a normal distribution. However, this requirement is often not satisfied because of small sample size or other reasons. The relationship of the routine test data, disease history and physical findings to the diagnosis (disease name) for individual patients seems to assume a non-linear form in many cases. When neural networks are used for analysis, there is no need to assume a normal distribution of the sample. This kind of analysis is applicable even when the sample size is large or small. Furthermore, analysis using neural networks is valid for non-linear relationships.In Japan, people who go to a hospital because they are complaining of some illness usually undergo routine testing as an early step in the diagnostic process. The data from these routine tests point to one or several possible diagnoses. Full-scale diagnosis is then started with the conduct of detailed tests focused on the diseases suspected on the basis of the disease history, findings from observations and data from the routine tests. However, sometimes the findings are negati...

show abstract

“…In addition, peripheral lymphocyte sensitization to propylthiouracil has been demonstrated in vitro [21,22]. Propylthiouracilinduced severe hepatitis does not seems to be associated with a high dose of the drug and it must be mentioned that elevated liver enzymes in thyrotoxicosis have been shown not to be predictive of further increases after the institution of propylthiouracil therapy [18,23].…”

Section: Discussionmentioning

confidence: 99%

“…At the time of presentation, laboratory baseline values were compatible with hyperthyroidism [FT3 = 17.3 pg/ml (nv: 2.3-5.3), FT4 = 47.8 pmol/l (nv: [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25], and TSH = 0.047 mu/l (nv: 0.3-4)], followed with normal liver values. The patient was advised to stop the OCP's medication and start treatment with antithyroid drugs and beta-blockers on the following regimen: methimazole 20 mg S:1 9 3 and propranolol 40 mg, S:1/2 9 3.…”

Section: Introductionmentioning

confidence: 99%

Liver failure due to antithyroid drugs: report of a case and literature review

Livadas

Xyrafis

Economou

et al. 2010

Endocr

View full text Add to dashboard Cite

Hyperthyroidism is a common endocrine disorder affecting 2% of females and 0.5% of males worldwide and antithyroid drugs constitute the first line of treatment in the majority of cases. These agents may cause severe adverse effects and among them liver failure, although rare, is a potential lethal one. This case illustrates the sudden and abrupt deterioration of hepatic function due to antithyroid drug administration. This case along with a concise literature review is presented aiming to increase the awareness of endocrinologists of possible fatal complications from the everyday use of common agents such as antithyroid drugs.

show abstract

Liver Tests in Hyperthyroidism: Effect of Antithyroid Therapy

Cited by 58 publications

References 18 publications

Consequences of dysthyroidism on the digestive tract and viscera

Consequences of dysthyroidism on the digestive tract and viscera

Assisting the Diagnosis of Thyroid Diseases with Bayesian-Type and SOM-Type Neural Networks Making Use of Routine Test Data

Liver failure due to antithyroid drugs: report of a case and literature review

Contact Info

Product

Resources

About