estimated.sTSHI {SPINA}

Jostels TSH index in standardised form

Description

Calculate Jostels TSH index in standardised form resulting from z-transformation.

Usage

estimated.sTSHI(TSH, FT4, mean = 2.7, sd = 0.676)

Arguments

TSH

Thyrotropin (TSH) concentration in mIU/l

FT4

Free thyroxine (FT4) concentration in pmol/L

mean

mean value of population sample for standardised (z-transformed) tests

sd

standard deviation of population sample for standardised (ztransformed) tests

Details

This function is able to do vectorised calculations.

Value

his function returns Jostel's TSH index as a numeric result in standardised form representing a single value or a vector, depending on the vector length of the arguments. Results are z-transformed and therefore without unit of measurement.

Note

The software functions described in this document are intended for research use only. Hormone levels should have been obtained simultaneously in order to avoid bias by transition effects.

Author(s)

Johannes W. Dietrich

References

Jostel A, Ryder WD, Shalet SM. The use of thyroid function tests in the diagnosis of hypopituitarism: definition and evaluation of the TSH Index. Clin Endocrinol (Oxf). 2009 Oct;71(4):529-34. doi: 10.1111/j.1365-2265.2009.03534.x. PMID: 19226261.

Dietrich J. W., Landgrafe G., Fotiadou E. H. 2012 TSH and Thyrotropic Agonists: Key Actors in Thyroid Homeostasis. J Thyroid Res. 2012;2012:351864. doi: 10.1155/2012/351864. PMID: 23365787; PMCID: PMC3544290.

Dietrich J. W., Landgrafe-Mende G., Wiora E., Chatzitomaris A., Klein H. H., Midgley J. E., Hoermann R. 2016 Calculated Parameters of Thyroid Homeostasis: Emerging Tools for Differential Diagnosis and Clinical Research. Front Endocrinol (Lausanne). 2016 Jun 9;7:57. doi: 10.3389/fendo.2016.00057. PMID: 27375554; PMCID: PMC4899439.

See Also

SPINA.GT, estimated.GT, SPINA.GTT, estimated.GTT, SPINA.GD, estimated.GD, SPINA.GDTT, estimated.GDTT, SPINA.sGD, estimated.sGD, estimated.TSHI, estimated.TTSI

Examples

TSH <- c(1, 3.24, 0.7);
FT4 <- c(16.5, 7.7, 9);
FT3 <- c(4.5, 28, 6.2);
print(paste("GT^:", SPINA.GT(TSH, FT4)));
print(paste("GD^:", SPINA.GD(FT4, FT3)));
print(paste("sGD^:", SPINA.sGD(FT4, FT3)));