Gestational #diabetes mellitus (GDM) is linked to significant adverse outcomes for both mothers and their offspring. Since #SPINA-GBeta outperforms #HOMA-Beta, its use is advised as a preferred calculated biomarker for the evolution and pathophysiology of #GDM.

#SPINA_GBeta #SPINA_Carb

https://pubmed.ncbi.nlm.nih.gov/40943638/

#SPINA_Thyr and #SPINA_Carb, two implementations of the structure parameter inference approach (SPINA), provide evidence-based improved methods for diagnosis and endotyping of endocrine diseases. Now, thoroughly tested apps for Mac and Windows are available for free download.

http://spina.sf.net

SPINA - Browse Files at SourceForge.net

Structure parameter inference approach for endocrine feedback control

After intensive internal testing, the release candidate 1 of the #SPINA_Carb app is available. This is the "sister" app for #SPINA_Thyr, and it is provided for purposes of testing.

https://sourceforge.net/projects/spina/files/

https://doi.org/10.5281/zenodo.15249620

https://doi.org/10.5281/zenodo.15249621

SPINA - Browse Files at SourceForge.net

Structure parameter inference approach for endocrine feedback control

#SPINA_Carb has high discriminatory power for the distinction between #diabetes and normal glucose homeostasis. SPINA-GBeta is better than HOMA-Beta, SPINA-GR is better than HOMA-IR and QUICKI, but SPINA-DI is best, being even more powerful than ivGTT. https://pubmed.ncbi.nlm.nih.gov/38169110/
A novel simple disposition index (SPINA-DI) from fasting insulin and glucose concentration as a robust measure of carbohydrate homeostasis - PubMed

SPINA-DI is a novel simple reliable and inexpensive marker of insulin-glucose homeostasis suitable for screening purposes and a wider clinical application.

PubMed