Vitamin D: how to decide when you need it, regardless of laboratory results
When a number determines a course of treatment; analytical variability in tests necessitates a focus on appropriate prescribing to restore a central role to the doctor’s judgement
Key points
A reflection rooted in the principle of appropriateness. AIFA Note 96 marked an important step in promoting the appropriate prescribing of vitamin D. The aim was, and still is, entirely commendable: to limit unnecessary treatments in the general population and ensure the rational use of National Health Service resources, by focusing reimbursement on patients who can genuinely benefit from supplementation.
The figures and clinical decisions
A few years after its introduction, however, new scientific evidence suggests that one of the elements on which the Note is based – the use of fixed biochemical thresholds for 25-hydroxyvitamin D – warrants further consideration. Not because the principle of appropriateness is no longer valid, but because we now have a better understanding of the limitations of the laboratory data on which these thresholds are based.
The question is simple: how accurate is the figure on which we base clinical – and, in some cases, even administrative – decisions?
The new study
A study recently published in the journal *Endocrine* analysed over 2,700 25-hydroxyvitamin D test results from around 114 laboratories within the Lombardy healthcare network, as part of the regional External Quality Assessment programme. This provides a concrete snapshot of laboratory practice within the health service, enabling an assessment of the extent to which results are truly comparable across different methods and centres. The data are clear. Analytical variability between laboratories and between diagnostic platforms was found to be high, with average coefficients of variation close to 30 per cent, regardless of whether the values were below or above the main cut-off points used in clinical practice. Furthermore, some methods showed systematic differences in the measured values compared with others, even when analysing the same samples. This is not merely a technical detail reserved for laboratory specialists. It is a factor that can have tangible implications for treatment decisions.

