Literature DB >> 11081466

The paradox of hematocrit in exercise physiology: which is the "normal" range from an hemorheologist's viewpoint?

J F Brun1, C Bouchahda, D Chaze, A A Benhaddad, J P Micallef, J Mercier.   

Abstract

The paradox of hematocrit in exercise physiology is that artificially increasing it by autotransfusion or erythropoietin doping improves VO2 max and performance, while in normal conditions there is a strong negative correlation between hematocrit and fitness, due to a training-induced "autohemodilution". We aimed at investigating: (a) which is the physiological range of hematocrit in highly trained professional footballers; (b) what are the characteristics of athletes with high vs low hematocrit? We determined in 77 healthy male footballers the physiological range (mean +/- sd) of hematocrit: 42.3+/-2.74, (range -2sigma/+2sigma = 36.8-47.8%) thus defining boundaries of quintiles of distribution for this parameter: 40, 41.6, 42.9, 44.6. In another sample of 42 male footballers we compared three groups: lowest quintile (n = 8), highest quintile (n = 5) and the three middle quintiles considered together (n = 29). Athletes in the lowest quintile compared to those in the four other quintiles had a lower value of blood viscosity (-8%, p < 0.01) but this difference disappeared after correction for hematocrit. These subjects with low hematocrit had also higher values of the following parameters: aerobic working capacity (p < 0.01); isometric adductor strength (p = 0.02); crossover point of carbohydrate oxidation (70% carbohydrates/30% lipids) (p < 0.05); insulin like growth factor binding protein 1 (p < 0.0001). Athletes in the highest quintile had higher red cell aggregability (Myrenne index "M1" 8.45+/-0.38 vs 6.82+/-0.62, p < 0.04) and a higher disaggregability threshold gammaD (72.6+/-22.63 vs 44.49+/-1.37, p < 0.01) and a lower percentage of water in fat-free mass (p < 0.02). On the whole sample hematocrit was negatively correlated with aerobic working capacity (W170 r = -0.329, p = 0.007; Wmax (% of expected value) r = -0.552, p = 0.008; VO2 max (% of expected value) r = -0.543, p = 0.009) and with ferritin (r = -0.33, p = 0.031), and positively correlated with the overtraining score (r = 0.352, p = 0.019) which was in turn negatively correlated with ferritin r = -0.312, p = 0.02). Besides, hematocrit behaves as a major determinant of blood viscosity (correlation with blood viscosity r = 0.997, p < 10(-7)) and erythrocyte disaggregability gammaD (r = 0.384, p = 0.03), but the hematocrit/viscosity ratio (h/eta index of O2 delivery) remains maintained almost constant over the range of values studied. These results show that (a) physiological values of hematocrit in these athletes are comprised between 36 and 48%; (b) "low" hematocrit (<40%) was associated with a higher aerobic capacity; (c) subjects with the higher hematocrits (>44.6%) were frequently overtrained and/or iron-deficient, and their blood viscosity (and red cell disaggregability) tended to be increased.

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Year:  2000        PMID: 11081466

Source DB:  PubMed          Journal:  Clin Hemorheol Microcirc        ISSN: 1386-0291            Impact factor:   2.375


  11 in total

1.  Vasovagal reactions in whole blood donors at three REDS-II blood centers in Brazil.

Authors:  Thelma T Gonçalez; Ester C Sabino; Karen S Schlumpf; David J Wright; Silvana Leao; Divaldo Sampaio; Pedro L Takecian; Anna B Proietti; Anna B Proitetti; Edward Murphy; Michael Busch; Brian Custer
Journal:  Transfusion       Date:  2011-11-11       Impact factor: 3.157

2.  Haematocrit is invalid for estimating red cell volume: a prospective study in male volunteers.

Authors:  Matthias Jacob; Simon Annaheim; Urs Boutellier; Christian Hinske; Markus Rehm; Christian Breymann; Alexander Krafft
Journal:  Blood Transfus       Date:  2012-05-04       Impact factor: 3.443

3.  RhEPO improves time to exhaustion by non-hematopoietic factors in humans.

Authors:  Simon Annaheim; Matthias Jacob; Alexander Krafft; Christian Breymann; Markus Rehm; Urs Boutellier
Journal:  Eur J Appl Physiol       Date:  2016-01-04       Impact factor: 3.078

Review 4.  Haemorheology in exercise and training.

Authors:  Mahmoud S El-Sayed; Nagia Ali; Zeinab El-Sayed Ali
Journal:  Sports Med       Date:  2005       Impact factor: 11.136

5.  Rapid rather than gradual weight reduction impairs hemorheological parameters of Taekwondo athletes through reduction in RBC-NOS activation.

Authors:  Woo Hwi Yang; Oliver Heine; Sebastian Pauly; Pilsang Kim; Wilhelm Bloch; Joachim Mester; Marijke Grau
Journal:  PLoS One       Date:  2015-04-14       Impact factor: 3.240

Review 6.  'Blood doping' from Armstrong to prehabilitation: manipulation of blood to improve performance in athletes and physiological reserve in patients.

Authors:  James O M Plumb; James M Otto; Michael P W Grocott
Journal:  Extrem Physiol Med       Date:  2016-02-29

7.  Rapid weight reduction does not impair athletic performance of Taekwondo athletes - A pilot study.

Authors:  Woo-Hwi Yang; Oliver Heine; Marijke Grau
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

8.  Exhaustive exercise training enhances aerobic capacity in American alligator (Alligator mississippiensis).

Authors:  John Eme; Tomasz Owerkowicz; June Gwalthney; Jason M Blank; Bryan C Rourke; James W Hicks
Journal:  J Comp Physiol B       Date:  2009-06-17       Impact factor: 2.200

9.  Association of Hematological Variables with Team-Sport Specific Fitness Performance.

Authors:  Franck Brocherie; Grégoire P Millet; Anna Hauser; Thomas Steiner; Jon P Wehrlin; Julien Rysman; Olivier Girard
Journal:  PLoS One       Date:  2015-12-07       Impact factor: 3.240

10.  Total haemoglobin mass, blood volume and morphological indices among athletes from different sport disciplines.

Authors:  Jadwiga Malczewska-Lenczowska; Dariusz Sitkowski; Joanna Orysiak; Andrzej Pokrywka; Zbigniew Szygula
Journal:  Arch Med Sci       Date:  2013-11-05       Impact factor: 3.318

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