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Blood Transfus. 2010 April; 8(2): 94–99.
PMCID: PMC2851212

Influence of a light meal on routine haematological tests

Abstract

Introduction

Patient-related variables, such as physical exercise, stress and fasting status are important sources of variability in laboratory testing. However, no clear indications about fasting requirements exist for routine haematological tests, nor has the influence of meals been assessed.

Methods

We studied 17 healthy volunteers who consumed a light meal containing a standardized amount of carbohydrates, protein and lipids. Blood was taken for routine haematological tests before the meal and 1, 2 and 4 hours thereafter.

Results

One hour after the meal, neutrophil count and mean corpuscular haemoglobin (MHC) increased significantly, whereas lymphocyte and monocyte counts, red blood cell distribution width, haematocrit, and mean corpuscular volume decreased significantly. A clinically significant variation was only observed for lymphocytes. Two hours after the meal, a significant increase was observed for neutrophils and MCH, whereas lymphocytes, eosinophils, haemoglobin and haematocrit decreased significantly. Clinically significant variations were recorded for lymphocytes, red blood cells (RBC), haemoglobin, haematocrit and MCH. Four hours after the meal MCH was significantly increased, while lymphocytes, eosinophils, RBC, haemoglobin and haematocrit were significantly decreased. Clinically significant variations were recorded for neutrophils, eosinophils, RBC, hematocrit and MCH.

Conclusion

The significant variation of several haematological parameters after a light meal demonstrates that the fasting time needs to be carefully considered in order to interpret the results of haematological tests correctly.

Keywords: fasting, haematological tests, meal, pre-analytical variability

Introduction

Healthcare is an extremely complex process, involving a kaleidoscope of medical disciplines. Traditionally, medical errors are identified as incorrect diagnoses, mishandled clinical procedures or, globally, as results of inappropriate clinical decision-making. Laboratory diagnostics, like other medical areas, is often delivered in a high-pressure, fast-moving environment, involving a vast array of innovative and complex technologies, so that it is no safer than other areas of healthcare1,2. Under some circumstances things can go wrong within the total testing process, producing spurious results and, potentially, unintentional harm to the patients35. Although errors may occur in each phase of laboratory diagnostics, there are several lines of evidence suggesting that the vast majority of errors arise during the manually intensive pre-analytical phase, mostly because of poor standardisation, mishandled procedures and lack of adherence to best practice guidelines68.

An accurate investigation of haematological disorders requires appropriate and discretional use of laboratory resources. However, total quality in haematological testing is a prerequisite for clinically reliable results9. Modern automated haematology counters provide clinicians quickly with results that are characterized by a high degree of precision and accuracy10. Spurious results may occasionally be observed in some circumstances, such as agglutination in the presence of ethylenediamine tetra-acetic acid (EDTA), cryoglobulins, lipids, insufficiently lysed red blood cells (RBC), erythroblasts and platelet aggregates11,12. Pre-analytical variability is another important source of errors in haematological testing, accounting for 0.36%7 to 0.45%9 of all unsuitable specimens referred for routine haematological testing. Current data on pre-analytical errors in routine haematological testing indicate that undue clotting, samples collected into unsuitable containers or at an inappropriate volume (either insufficient volume for testing or suboptimal blood to anticoagulant ratio) are the prevailing causes of unsuitable specimens7. Patient-related variables, such as physical exercise, stress and fasting status are additional sources of variability in laboratory testing. The Clinical and Laboratory Standards Institute (CLSI) currently recommends a patient’s fasting status, especially for those tests that are more likely to be affected by food ingestion, such as assays of glucose, lipoprotein fractions and triglycerides. For glucose alone, a fast of 4 hours is sufficient13. According to the National Cholesterol Education Program (NCEP), the fasting period prior to the measurement of lipids should be at least 9 to 12 hours14. Nevertheless, no clear indications about fasting requirements exist for routine haematological tests, nor has the influence of meal ingestion been previously assessed. The present study was, therefore, designed to evaluate the influence of a regular, light meal on haematological tests.

Material and Methods

Study design

The study population consisted of 17 healthy volunteers (8 women and 9 men; mean age ± standard deviation: 29±4), who were enrolled among the laboratory staff and gave written consent to testing. The study was also approved by our local ethical committee. Blood samples were collected by a single, expert phlebotomist, using a 20 G straight needle (Terumo Europe NV, Leuven, Belgium), directly into 3.0 mL siliconised vacuum tubes containing 5.9 mg K2 EDTA (Terumo Europe NV, Leuven, Belgium). A first blood sample was collected between 8:00 and 8:30 a.m. after an overnight fast. Immediately after blood collection, the volunteers consumed a light meal, containing standardised amounts of carbohydrates, protein and lipids (Table I). The meal was based on commercial food regularly purchased at a shop, and included one slice of cheese, one yogurt, two slices of bread, a chocolate snack and a fruit juice. The precise composition of the meal is shown in table I. Subsequent blood samples were collected 1, 2 and 4 hours after the end of the meal. Each phase of sample collection was carefully standardised, including the use of needles and vacuum tubes from the same lot. No specimen needed to be discarded due to unsatisfactory attempts, difficulty in locating a suitable venous access or missing the vein.

Table I
Nutritional composition of the light meal

Laboratory testing

All samples were processed for routine haematological testing immediately after collection (<15 min) on the same Advia 2120 automated haematology analyser (Bayer Diagnostics, Newbury, Berkshire, UK). The parameters tested included haemoglobin, haematocrit, RBC count, mean corpuscular haemoglobin (MHC), mean corpuscular volume (MCV), platelet count, mean platelet volume, RBC distribution width (RDW), white blood cell (WBC) count and WBC differential, including neutrophils, lymphocytes, monocytes, eosinophils, basophils and large unstained cells. The instrument was calibrated against appropriate proprietary reference standard material and verified with the use of proprietary controls. A multicenter evaluation of the within-run precision of the Advia 2120 system showed coefficients of variation ranging from 1.6% to 2.3% for WBC, from 2.1% to 2.8% for platelets, from 0.6% to 0.9% for RBC and always lower than 0.7% for hemoglobin, MCV and MCH15. Results are shown as mean and standard error of the mean (SEM).

Statistical analysis

The significance of differences between samples was assessed by paired Student’s t-test. The level of statistical significance was set at P < 0.05. Finally, the biases 1, 2 and 4 hours after intake of a standardised meal were compared with the current desirable quality specifications for bias, derived from biological variation16.

Results

The results of this investigation are shown in table II. One hour after the ingestion of the meal, significant increases were observed in neutrophils and MCH, whereas lymphocytes, monocytes, RDW, haematocrit and MCV were significantly decreased (Figures 1 and and2).2). However, a clinically significant variation, as compared with the current desirable quality specifications16, was only observed for lymphocytes. Two hours after the ingestion of the meal, the neutrophil count and MCH remained significantly increased, whereas lymphocyte and eosinophil counts, haemoglobing and haematocrit were significantly decreased (Figures 1 and and2).2). Clinically significant variations were recorded for lymphocyte and RBC counts (although the decreases were not statistically significant according to the Student’s paired t-test), haemoglobin, haematocrit and MCH. Four hours after the ingestion of the meal a significant increase was recorded only for MCH, while lymphocytes, eosinophils, RBC count, haemoglobin, haematocrit mean platelet volume were significantly decreased. Clinically significant variations were recorded for neutrophils (although this increase was not statistically significant according to Student’s paired t-test), eosinophils, red blood cell count, haematocrit, MCH and mean platelet volume.

Figure 1
Percentage post-prandial variation of red blood cell count (RBC), haemoglobin concentration (HGB), haematocrit (HCT), mean corpuscular haemoglobin (MHC), mean corpuscular volume (MCV) and RBC distribution width (RDW) after a light meal.
Figure 2
Percentage post-prandial variations of white blood cell (WBC) count, neutrophils (NEU), lymphocytes (LYMP), monocytes (MONO), eosinophils (EOS), basophils (BASO) and large unstained cells (LUC) after a light meal.
Table II
Post-prandial variation of the routine haematological profile after a light meal

Discussion

Laboratory testing is the mainstay for the screening, diagnosis and follow-up of numerous haematological disorders. A high degree of quality throughout the entire testing process is, therefore, crucial in order to provide clinicians with reliable laboratory data10. As in other areas of laboratory diagnostics, however, pre-analytical variability can affect haematological tests, thereby producing spurious results that can jeopardise patients’ safety1,2,5,8. Although an adequate period of fasting before collecting blood is advisable, especially when performing tests that might be influenced by ingestion of carbohydrates and lipids (e.g., assays of glucose and triglycerides)13,14, no information is available on post-prandial variations of routine haematological parameters. This might be relatively irrelevant in most circumstances, when blood is collected in the morning from fasting patients. However, there might be some cases when blood must be collected from non-fasting patients, such as those suffering from urgent clinical conditions that require stat testing. In such cases, familiarity with post-prandial variations of the haematological profile is essential in order to be able to appreciate and troubleshoot “spurious” variations, and to interpret test results correctly, especially in the longitudinal monitoring of patients’ data.

To the best of our knowledge, this is the first investigation assessing post-prandial variation of routine hematological parameters. The results of this study clearly demonstrate that even a light meal, such as that administered in this investigation, can induce significant variations in the routine haematological profile in healthy subjects. As far as regards the WBC count, we observed a clinically meaningful increase in neutrophils (7–10%), and significant decreases of lymphocytes (as much as −19%) and eosinophils (as much as −23%) up to 4 hours after the meal (Figure 2). We also recorded significant post-prandial decreases of RBC count, haemoglobin concentration and haematocrit, with the differences in RBC count and haematocrit values achieving clinical significance 2 and 4 hours after the meal, respectively (Figure 1).

There is not a single explanation to justify these heterogeneous changes. Variations in RBC count, haematocrit and haemoglobin concentration are most likely attributable to haemodilution following ingestion of foods and fluids17. The variations in leukocyte subpopulations are more difficult to interpret. In agreement with our findings, Hansen et al. previously observed increase in neutrophil and platelet counts lasting for more than 2.5 hours after the intake of a meal, whereas lymphocyte numbers decreased18. Van Oostrom et al. found a significant post-prandial increase in WBC in healthy subjects after an 8-hour oral fat load. However, while observing a substantial increase in neutrophils in the first 2 hours (142% higher than baseline), which did not return to baseline by the end of the test, they also recorded a substantial increase in lymphocytes (142% higher than baseline)19. Basically, food intake represents a marked intestinal exposure to antigens, requiring host defences. Besides local immune activation, this defence includes a co-ordinated systemic immune response, which may serve to support local immunity. The results of our investigation are, therefore, consistent with the hypothesis that a light meal might still be sufficient to promote emigration of lymphocytes, probably into extravascular abdominal tissues, where they may serve to support local immune defences. Such a process is accompanied by mobilisation from bone marrow or demarginalisation of neutrophils18. On the other hand, the marked drop in eosinophils observed 2 to 4 hours after the meal is consistent with the hypothesis that meal-induced increase in cortisol promotes migration of eosinophils into the spleen, lymph nodes and thymus20.

References

1. Plebani M. Exploring the iceberg of errors in laboratory medicine. Clin Chim Acta. 2009;404:16–23. [PubMed]
2. Plebani M, Lippi G. To err is human. To misdiagnose might be deadly. Clin Biochem. 2009 Jul 14; [Epub ahead of print] [PubMed]
3. Plebani M, Carraro P. Mistakes in a stat laboratory: types and frequency. Clin Chem. 1997;43:1348–51. [PubMed]
4. Carraro P, Plebani M. Errors in a stat laboratory: types and frequencies 10 years later. Clin Chem. 2007;53:1338–1342. [PubMed]
5. Lippi G, Fostini R, Guidi GC. Quality improvement in laboratory medicine: extra-analytical issues. Clin Lab Med. 2008;28:285–294. [PubMed]
6. Lippi G, Guidi GC, Mattiuzzi C, Plebani M. Preanalytical variability: the dark side of the moon in laboratory testing. Clin Chem Lab Med. 2006;44:358–65. [PubMed]
7. Lippi G, Bassi A, Solero GP, et al. Prevalence and type of preanalytical errors on inpatient samples referred for complete blood count. Clin Lab. 2007;53:555–6. [PubMed]
8. Lippi G. Governance of preanalytical variability: travelling the right path to the bright side of the moon? Clin Chim Acta. 2009;404:32–6. [PubMed]
9. Jones BA, Meier F, Howanitz PJ. Complete blood count specimen acceptability. A College of American Pathologists Q-Probes study of 703 laboratories. Arch Pathol Lab Med. 1995;119:203–8. [PubMed]
10. Briggs C. Quality counts: new parameters in blood cell counting. Int J Lab Hematol. 2009;31:277–97. [PubMed]
11. Zandecki M, Genevieve F, Gerard J, Godon A. Spurious counts and spurious results on haematology analysers: a review. Part I: platelets. Int J Lab Hematol. 2007;29:4–20. [PubMed]
12. Zandecki M, Genevieve F, Gerard J, Godon A. Spurious counts and spurious results on haematology analysers: a review. Part II: white blood cells, red blood cells, haemoglobin, red cell indices and reticulocytes. Int J Lab Hematol. 2007;29:21–41. [PubMed]
13. Clinical and Laboratory Standards Institute. Approved Standard – Sixth Edition H3-A6. 2009. Procedures for the collection of diagnostic blood specimens by venipuncture.
14. National Cholesterol Education Program. Recommendations on Lipoprotein Measurement From the Working Group on Lipoprotein Measurement. [Last accessed: 24 September 2009.]. Available at: http://www.nhlbi.nih.gov/health/prof/heart/chol/lipoprot.pdf.
15. Harris N, Jou JM, Devoto G, et al. Performance evaluation of the ADVIA 2120 hematology analyzer: an international multicenter clinical trial. Lab Hematol. 2005;11:62–70. [PubMed]
16. Ricos C, Alvarez V, Cava F, et al. Current databases on biological variation: pros, cons and progress. Scand J Clin Lab Invest. 1999;59:491–500. [PubMed]
17. Korbonits M, Blaine D, Elia M, Powell-Tuck J. Metabolic and hormonal changes during the refeeding period of prolonged fasting. Eur J Endocrinol. 207;157:157–66. [PubMed]
18. Hansen K, Sickelmann F, Pietrowsky R, et al. Systemic immune changes following meal intake in humans. Am J Physiol. 1997;273:R548–53. [PubMed]
19. Van Oostrom AJ, Sijmonsma TP, Rabelink TJ, et al. Postprandial leukocyte increase in healthy subjects. Metabolism. 2003;52:199–202. [PubMed]
20. Sabag N, Castrillón MA, Tchernitchin A. Cortisol-induced migration of eosinophil leukocytes to lymphoid organs. Experientia. 1978;34:666–7. [PubMed]

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