Corrected whole blood biomarkers : the equation of Dill and Costill revisited
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This is a self-archived version of an original article. This version may differ from the original in pagination and typographic details. Author(s): Title: Year: Version: Copyright: Rights: Rights url: Please cite the original version: CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ Corrected whole blood biomarkers : the equation of Dill and Costill revisited © 2018 The Authors Published version Matomäki, Pekka; Kainulainen, Heikki; Kyröläinen, Heikki Matomäki, P., Kainulainen, H., & Kyröläinen, H. (2018). Corrected whole blood biomarkers : the equation of Dill and Costill revisited. Physiological Reports, 6(12), Article e13749. https://doi.org/10.14814/phy2.13749 2018
ORIGINAL RESEARCH Corrected whole blood biomarkers –the equation of Dill and Costill revisited Pekka Matom€ aki, Heikki Kainulainen & Heikki Kyr€ ol€ ainen Faculty of Sport and Health Sciences, Biology of Physical Activity, University of Jyv€ askyl€ a, Jyv€ askyl€ a, Finland Keywords Biomarker, correction formula, Dill and Costill equation, plasma change. Correspondence Heikki Kyr€ ol€ ainen, Faculty of Sport and Health Sciences, Biology of Physical Activity, University of Jyv€ askyl€ a, Jyv€ askyl€ a, Finland. Tel: +358 40 540 8703 E-mail: [email protected] Funding Information No funding information provided. Received: 23 May 2018; Accepted: 31 May 2018 doi: 10.14814/phy2.13749 Physiol Rep, 6 (12), 2018, e13749, https://doi.org/10.14814/phy2.13749 Abstract An exercise bout or a dehydration often causes a reduction in plasma volume, which should be acknowledged when considering the change in biomarkers before and after the plasma changing event. The classic equation from Dill and Costill (1974, J. Appl. Physiol., 37, 247–248) for plasma volume shift is usually utilized in such a case. Although this works well with plasma and serum biomarkers, we argue in this note that this traditional approach gives misleading results in the context of whole blood biomarkers, such as lactate, white cells, and thrombocytes. In this study, we demonstrate that to calculate the change in the total amount of circulating whole blood biomarker, one should utilize a formula BMpost BMpre Hbpre Hbpost 1: Here Hb and BM are, respectively, the concentrations for the hemoglobin and for the inspected whole blood biomarker before (pre) and after (post) the plasma changing incident. Introduction It is a quite customary observation that during dehydration (Costill and Fink 1974; Nose et al. 1988) and exercise, both in endurance (Kingwell et al. 1997; Li and Gleeson 2004) as well as strength training (Collins et al. 1986; Kraemer et al. 1990), plasma volume decreases acutely causing the well-known hemoconcentration effect (Harrison 1985). This flux of water from bloodstream is mainly induced by the increased osmotic pressure between blood vessels and extravascular space, as well as increased hydrostatic pressure in capillaries (Sjøgaard and Saltin 1982; Harrison 1985). If refueling is carried out, plasma volume is usually returned to a resting level within hours of recovery (Collins et al. 1986; Kingwell et al. 1997), although a plasma volume expansion is also a possible outcome (Astrand and Saltin 1964; Robach et al. 2014). This acute loss in plasma volume causes increase in the concentration of blood biomarkers regardless of the possible responses from exercise. Hence, this phenomenon is important to acknowledge when comparing biomarkers before and after an exercise bout. This is usually done by applying an equation of relative plasma volume change given by Dill and Costill (1974). Although not strongly stressed, this approach is only suitable for plasma and serum biomarkers, whereas whole blood biomarkers would need an approach of their own. In this short note, we first give a brief summary of how the equation from (Dill and Costill 1974) is usually utilized when calculating corrected biomarker value. This is followed by our main contribution, which is the equation (eq. 5) for calculating the corrected change for the whole blood biomarkers. Our argument is accompanied by an illustrative example and a brief explanation why the traditional approach is not adequate. ª2018 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of The Physiological Society and the American Physiological Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. 2018 | Vol. 6 | Iss. 12 | e13749 Page 1 Physiological Reports ISSN 2051-817X
Calculating the change in plasma volume Dill and Costill (1974) have provided the notorious method to calculate the change in plasma volume (PV). For the derivation, one needs hemoglobin concentration (Hb), hematocrit (Hct), and total blood volume (BV) before (pre) and after (post) the exercise bout. The celebrated equation from (Dill and Costill 1974) for the change in the plasma volume (DPV) is DPV ¼PVpost PVpre PVpre ¼Hbpre 1Hctpost Hbpost 1Hctpre 1:(1) It is basically based on the assumption that the absolute mass of circulating red cells in bloodstream stays unchanged, that is, BVpre Hbpre ¼BVpost Hbpostg )BVpost BVpre ¼Hbpre Hbpost :(2) In practice, this is occasionally violated, for example, because of a footstrike-induced hemolysis during a running exercise (Telford et al. 2003; Robach et al. 2014). The equation also implicitly assumes uniform vascular mixing which is sometimes compromised, for example, in clinical conditions such as chronic kidney disease (Lobigs et al. 2017). Results and Discussion Corrected value for plasma and serum biomarker Most biomarkers are measured from plasma or serum, such as branched chain amino acids. For these biomarkers, reported usually as an amount in liter of a plasma or serum, customary way to make the plasma volume change correction is, for example, from (Alis et al. 2015), PMpost;c¼PMpost;u1þDPV ðÞ ;(3) where PM post,c and PM post,u indicate corrected and uncorrected serum or plasma biomarker after the exercise, respectively. Another class of biomarkers from bloodstream are the whole blood biomarkers (BM). These are reported usually as an amount in the liter of a whole blood and they include, for example, lactate, white cells, thrombocytes, manganese, protein c, troponin T, and aglucosidase. In the same spirit to above, the right correction for these would be BMpost;c¼BMpost;u1þDBVðÞ;(4) where DBV is the change in a total blood volume. However, DBV can be usually calculated only in clinical practice (D’Angelo et al. 2015; Lobigs et al. 2017), whence the practicality of equation (eq. 4) is quite limited. Moreover, the usage of plasma correction formula (eq. 3) in the case of whole blood biomarkers would give misleading results as it assumes, implicitly, that measured biomarker is reported as an amount in plasma or serum, and DPV differs from DBV. Corrected whole blood marker To make a correction formula for whole blood biomarkers, define TBM to be the total amount of inspected whole blood biomarker. When BM is the amount of biomarker with respect to blood volume (e.g., lactate as mmol/L), TBM is the total amount of it in the whole bloodstream (e.g., total amount of lactate in the circulation as mmol). While corrected BM value cannot be determined with ease, the relative change of the total amount of the circulating whole blood biomarker (DTBM), which is often of interest, can nevertheless be calculated quite effortlessly. To calculate its change, it is first observed that the total amount of circulating blood biomarker TBM =BM 9BV. Although this cannot be directly measured in any simple method, its relative change DTBM ¼TBMpost TBMpre TBMpre ¼BMpost BVpost BMpre BVpre BMpre BVpre ¼BMpost BMpre BVpost BVpre 1¼BMpost BMpre Hbpre Hbpost 1 (5) is quite simple to reach, where the last equation follows from equation (eq 2). In fact, only a knowledge on Hb is needed for the relative change of the whole blood marker. The insufficiency of the traditional approach The next example illustrates how the equation (eq. 5) can be used and how the use of plasma correction equation (eq. 3) can give misleading values with whole blood biomarkers indicating that the newly derived equation (eq. 5) should be preferred. Example Assume a hypothetical case, where one is interested in a change of white cells before and after an exercise, and the exercise bout is such that Hb and Hct change in the following way: 2018 | Vol. 6 | Iss. 12 | e13749 Page 2 ª2018 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of The Physiological Society and the American Physiological Society. Corrected Whole Blood Biomarkers P. Matom€ aki et al.
Hb pre (g/L) Hb post (g/L) Hct pre (%) Hct post (%) 149 170 44 49 Assume further that the acute change from the exercise bout in the white cell count has been BM pre =4910 9 /L ?5910 9 /L =BM post,u (+25%). Now, by applying the equation (eq. 1) to calculate the percentage of plasma shift, one gets DPV =20.2%, and hence applying equation (eq. 3) a (wrongly) corrected value 1þDPV ðÞ BMpost;u¼0:798 5109=L ¼3:99 109=L: Thus, using this “corrected” value of 3.99 910 9 /L based on plasma change, and comparing it to the initial value of 4 910 9 /L, one would deduce erroneously that DTBM 0, and that the plasma shift explains the whole observed change in the white cell count. However, by utilizing the correct equation (eq. 5) for the whole blood markers the true change is reached: DTBM ¼BMpost BMpre Hbpre Hbpost 1¼5 4149 170 1¼0:096 ¼þ9:6%; showing that the total count of circulating white cells in a bloodstream has, in fact, risen nearly 10% underlining the importance of choosing the right formula. To explicitly illustrate that this is the right way, one can assume further that we know the blood volume BV pre =6 L. From this, applying (eq 2), it can be calculated that BV post =5.26 L. Hence the total count of circulating white cells from TBM =BM 9BV are TBM pre =24 910 9 and TBM post =26.3 910 9 from which the total increase of +9.6% (¼26:324 24 ) can be directly verified. Conclusion The usually applied equation by Dill and Costill (eq. 3) is appropriate for calculating the corrections for plasma and serum biomarkers due to the change in plasma volume. However, it is not suitable for whole blood biomarkers, for which an alternative equation (eq. 5) should be preferred. Conflict of Interest None declared. References Alis, R., F. Sanchis-Gomar, C. Primo-Carrau, S. Lozano-Calve, M. Dipalo, R. Aloe, et al. 2015. Hemoconcentration induced by exercise: revisiting the Dill and Costill equation. Scand. J. Med. Sci. Sport 25:e630–e637. Astrand, P.-O., and B. Saltin. 1964. Plasma and red cell volume after prolonged severe exercise. J. Appl. Physiol. 19:829–832. Collins, M. A., D. W. Hill, K. J. Cureton, and J. J. DeMello. 1986. Plasma volume change during heavy-resistance weight lifting. Eur. J. Appl. Physiol. Occup. Physiol. 55:44–48. Costill, D. L., and M. J. Fink. 1974. Plasma volume changes following exercise and thermal dehydration. J. Appl. Physiol. 37:521–525. D’Angelo, M., R. K. Hodgen, K. Wofford, and C. Vacchiano. 2015. A theoretical mathematical model to estimate blood volume in clinical practice. Biol. Res. Nurs. 17:478–486. Dill, D. B., and D. L. Costill. 1974. Calculation of percentage changes in volumes of blood, plasma, and red cells in dehydration. J. Appl. Physiol. 37:247–248. Harrison, M. 1985. Effects of thermal stress and exercise on blood volume in humans. Physiol. Rev. 65:149–209. Kingwell, B. A., K. L. Berry, J. D. Cameron, G. L. Jennings, and A. M. Dart. 1997. Arterial compliance increases after moderate-intensity cycling. Am. J. Physiol. 273:H2186– H2191. Kraemer, W. J., L. Marchitelli, S. E. Gordon, E. Harman, J. E. Dziados, R. Mello, et al. 1990. Hormonal and growth factor responses to heavy resistance exercise protocols. J. Appl. Physiol. 69:1442–1450. Li, T. L., and M. Gleeson. 2004. The effect of single and repeated bouts of prolonged cycling and circadian variation on saliva flow rate, immunoglobulin A and a-amylase responses. J. Sports Sci. 22:1015–1024. Lobigs, L. M., P.-E. Sottas, P. C. Bourdon, Z. Nikolovski, M. El-Gingo, E. Varamenti, et al. 2017. The use of biomarkers to describe plasma-, red cell-, and blood volume from a simple blood test. Am. J. Hematol. 92:62–67. Nose, H., G. W. Mack, X. Shi, and E. R. Nadel. 1988. Role of osmolality and plasma volume during rehydration in humans. J. Appl. Physiol. 65:325–331. Robach, P., R. C. Boisson, L. Vincent, C. Lundby, S. Moutereau, L. Gergel e, et al. 2014. Hemolysis induced by an extreme mountain ultra-marathon is not associated with a decrease in total red blood cell volume. Scand. J. Med. Sci. Sport 24:18–27. Sjøgaard, G., and B. Saltin. 1982. Extraand intracellular water spaces in muscles of man at rest and with dynamic exercise. Am. J. Physiol. 243:R271–R280. Telford, R. D., G. J. Sly, A. G. Hahn, R. B. Cunningham, C. Bryant, J. A. Smith, et al. 2003. Footstrike is the major cause of hemolysis during running. J. Appl. Physiol. 94:38–42. ª2018 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of The Physiological Society and the American Physiological Society. 2018 | Vol. 6 | Iss. 12 | e13749 Page 3 P. Matom€ aki et al. Corrected Whole Blood Biomarkers