Endocrine Diseases and Disorders of Thyroid Function in Newborns

Neonatology ◽  
2018 ◽  
pp. 1-62
Author(s):  
Paolo Ghirri ◽  
Antonio Balsamo ◽  
Massimiliano Ciantelli ◽  
Paolo Cavarzere ◽  
Alessandra Cassio ◽  
...  
Neonatology ◽  
2018 ◽  
pp. 1833-1891
Author(s):  
Paolo Ghirri ◽  
Antonio Balsamo ◽  
Massimiliano Ciantelli ◽  
Paolo Cavarzere ◽  
Alessandro Cicognani ◽  
...  

Neonatology ◽  
2016 ◽  
pp. 1-60
Author(s):  
Paolo Ghirri ◽  
Antonio Balsamo ◽  
Massimiliano Ciantelli ◽  
Paolo Cavarzere ◽  
Alessandra Cassio ◽  
...  

2021 ◽  
Vol 16 (3) ◽  
pp. 16-24
Author(s):  
Ekaterina I. Kim ◽  
Diana А. Dimitrova ◽  
Diana A. Dimitrova ◽  
Nino N. Katamadze ◽  
Tamara S. Dzantieva

Laboratory diagnosis of endocrine diseases has undergone many important changes over the past decades, despite the progress of thyroid function immunoassays technologies interferences cannot be completely excluded. These interferences can affect measurement of analyte which leads to misinterpretation and subsequent wrong clinical decisions, the probability of which is about 1%. However, the scale of the problem may be greater due to the lack of awareness to the problem among doctors and the lack of laboratory screening for interfering factors. These factors can be both endogenous and exogenous, bind both to antibodies to the analyte and to the reagent in the test system. The specificity of the immunoassay depends not only on the binding properties of antibodies, the activity of reagent, but also on the composition of the test system and the format of the methodology (non-competitive two-site or “sandwich” and competitive assays). This review provides a description of the main interferences that can affect the measurement of thyroid hormones, in particular thyroid stimulating hormone, free thyroxine and triiodothyronine, calcitonin, and demonstrates clinical cases reported in the literature over the past few years.


2016 ◽  
Vol 22 ◽  
pp. 305-306
Author(s):  
Sheela Metgud ◽  
Anup Kumar ◽  
Erin Drever ◽  
Tahira Yasmeen

Author(s):  
Bahareh Nikooyeh ◽  
Nastaran Shariatzadeh ◽  
Ali Kalayi ◽  
Maliheh Zahedirad ◽  
Tirang R. Neyestani

Abstract. Some studies have reported inaccuracy of predicting basal metabolic rate (BMR) by using common equations for Asian people. Thus, this study was undertaken to develop new predictive equations for the Iranian community and also to compare their accuracy with the commonly used formulas. Anthropometric measures and thyroid function were evaluated for 267 healthy subjects (18–60 y). Indirect calorimetry (InCal) was performed only for those participants with normal thyroid function tests (n = 252). Comparison of predicted RMR (both kcal/d and kcal.kg.wt−1.d−1) using current predictive formulas and measured RMR revealed that Harris-Benedict and FAO/WHO/UNU significantly over-estimated and Mifflin-St. Jeor significantly under-estimated RMR as compared to InCal measurements. In stepwise regression analysis for developing new equations, the highest r2 (=0.89) was from a model comprising sex, height and weight. However, further analyses revealed that unlike the subjects under 30 y, the association between age and the measured RMR in subjects 30 y and plus was negative (r = −0.241, p = 0.001). As a result, two separate equations were developed for these two age groups. Over 80 percent of variations were covered by the new equations. In conclusion, there were statistical significant under- and over-estimation of RMR using common predictive equations in our subjects. Using the new equations, the accuracy of the calculated RMR increased remarkably.


Sign in / Sign up

Export Citation Format

Share Document