A statement endorsed by medical specialty associations has been published in our country
recommending the flexibilization of fasting before blood drawing for the laboratory
determination of the lipid profile encompassing total cholesterol (TC), high-density
lipoprotein cholesterol (HDL-c), triglycerides (TG) content and the corresponding
calculation of non-HDL-cholesterol (TC - HDL-c).[1] It was considered that non-fasting results do not clinically
differ from fasting ones, and prospective studies and meta-analyses have consistently
demonstrated that non-HDL-C at a non-fasting state would be at least as good as LDL-c in
the prediction of CVD. It was also recommended that when TG > 4.52 mmol/L the formula
proposed by Martin et al.[2] should be
used for LDL-c estimation.The statement was based on the European Consensus on the matter published by Nordestgaard
et al.[3] However, the automatic
application of this approach in Brazil deserves deeper consideration, considering the
impact that it may cause on patient care. Furthermore, it is far from a consensus among
clinical laboratory scientists and professionals in the country, as it became evident
during the 44th Brazilian Congress of Clinical Analysis held last June
11-14th, 2017, and the 51st Brazilian Congress of Clinical
Pathology and Laboratory Medicine, held last September 26-29th, 2017.Indeed, a non-fasting non-HDL-c result would be at least equivalent to LDL-c for goal
setting.[4] However, a
non-fasting LDL-cholesterol, as well as non-fasting non-HDL-c, could be less sensitive
for CVD prediction,[5] especially in
women.[6] This possible issue
ought to be evaluated judiciously and independently in our specific population.Secondly, it should be noted that the treatment target for non-HDL-c is simply 0.8 mmol/L
(30 mg/dL) higher than the respective target for LDL-c.[7] This was set in an empirical manner, considering an
average value of 0.8 mmol/L for VLDL-c. Obviously, this is not consistent with reality,
especially in a post-prandial state. On the other hand, the treatment target levels for
LDL-c are well established, based on large prospective studies for decades of sound
scientific work.Third, the main motives for a non-fasting blood draw as suggested by the European
consensus[3] and the Brazilian
statement[1] seem to be more
commercially driven than scientifically. The rationale included an alleged
“inconvenience by having to return on a separate visit for a fasting lipid profile…, a
laboratory burden due to a large volume of patients coming for tests in the morning…, a
burden for clinicians to review and make decisions based on the findings of the lipid
profile at a later date…”, and a hypothesized improved “patient compliance with lipid
testing”.Only the last motivation may have some scientific background but it yet remains to be
proved. It also should be noted that blood sample drawing procedures in Brazil are quite
different from those practiced in Western Europe and in the USA. In those countries,
biological samples are often drawn right after the consultation with the clinician, at
the clinic or hospital; the samples are collected at scheduled times by the laboratory
logistics and the result is directly reported to the physician. The patients do not even
know what a clinical laboratory is; they just know that their blood samples go somewhere
to be analyzed by people who they have no idea what their skills and background are. In
Brazil, by law, the laboratory results belong to the patients, and non-hospitalized
patients often come to the laboratory collection facility, unless a home visit is
scheduled, for blood drawing or other biological sample collection days after the first
consultation, where they receive adequate instructions regarding the pre-analytical
requirements for each requested test. The realities are completely different.Fourth, precisely derived from the point above, the impact of these recommendations have
not yet been evaluated on the patient's behavior regarding the required fasting for
other laboratory tests. And even worse, we have already observed
movements by some corporations indicating that fasting for any
laboratory test would be no longer necessary. From the technical and scientific point of
view, non-fasting blood samples are not suitable for measurement of several analytes
that are influenced by meals, such as blood cell counts, hemoglobin, albumin, bilirubin,
phosphate, calcium, magnesium, potassium,[8] insulin, growth hormone, glucagon, chloride, urine pH, and also
those affected by diurnal variation, such as ACTH, catecholamines, TSH, PTH, renin,
aldosterone, ALT, AST, alkaline phosphatase, blood urea nitrogen and iron,[9] to name a few. As it has been
said,[10] in clinical laboratory
medicine, no sample would be preferred to a bad sample, if one wishes to attain rigorous
standards when providing clinicians with reliable laboratory information. The overall
impact of the proposed non-fasting blood sample draw on the eventual rejection of the
patient’s samples has yet to be determined, due to the presence of other requested
laboratory tests that need fasting and/or morning draw.And fifth, finally, the suggested Martin’s formula still uses TG in its calculations, a
parameter that has been demonstrated by many authors not to be correlated with LDL-c or
TC. Martin et al.[2] have made a huge
mathematical effort to achieve a satisfactory result to include TG in the calculation.
And most importantly, this equation has to be validated or at least evaluated, in other
populations before being universally recommended. For instance, the proposed Martin’s
formula, as well as ours, was evaluated in comparison to newly proposed formulas for
LDL-c estimation in Iran, and the former was demonstrated to not add value to the
estimations in a small cohort.[11]Anyway, LDL-c remains a frequent parameter requested at clinical laboratories in medical
routine, and will likely continue to be so, hence precise methods for its estimation are
needed when its direct measurement is not available. A simple and accurate equation
developed and evaluated in the Brazilian population has already been
developed.[12] It should be
noted that this equation performs equally well, for instance, in populations from
Germany and United Kingdom,[13] but not
as well in others, such as in South Africa,[14] Spain,[15] and
Thailand.[16] It seems that the
debate on which method to use for LDL-c determination, in each particular population of
the globe, is more open than defined.[17]Sadly, history is full of examples demonstrating that when corporate interests meet with
poor science, the only losers are science itself, and patient care. It is apparent and
worthy of concern that the Brazilian 'consensus' has recommended the use of an equation
for LDL-c estimation that was not validated in the local population and was moved by
reasons that are driven more by convenience than by rigorous and unbiased science.
Authors: S Matthijs Boekholdt; Benoit J Arsenault; Samia Mora; Terje R Pedersen; John C LaRosa; Paul J Nestel; R John Simes; Paul Durrington; Graham A Hitman; K M A Welch; David A DeMicco; Aeilko H Zwinderman; Michael B Clearfield; John R Downs; Andrew M Tonkin; Helen M Colhoun; Antonio M Gotto; Paul M Ridker; John J P Kastelein Journal: JAMA Date: 2012-03-28 Impact factor: 56.272
Authors: Seth S Martin; Michael J Blaha; Mohamed B Elshazly; Peter P Toth; Peter O Kwiterovich; Roger S Blumenthal; Steven R Jones Journal: JAMA Date: 2013-11-20 Impact factor: 56.272
Authors: Børge G Nordestgaard; Anne Langsted; Samia Mora; Genovefa Kolovou; Hannsjörg Baum; Eric Bruckert; Gerald F Watts; Grazyna Sypniewska; Olov Wiklund; Jan Borén; M John Chapman; Christa Cobbaert; Olivier S Descamps; Arnold von Eckardstein; Pia R Kamstrup; Kari Pulkki; Florian Kronenberg; Alan T Remaley; Nader Rifai; Emilio Ros; Michel Langlois Journal: Eur Heart J Date: 2016-04-26 Impact factor: 29.983