• Je něco špatně v tomto záznamu ?

Optimal hematocrit theory: a review

M. Sitina, H. Stark, S. Schuster

. 2024 ; 137 (3) : 494-509. [pub] 20240530

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/bmc24019165

In humans and many animals, a trade-off between a sufficiently high concentration of erythrocytes (hematocrit) to bind oxygen and sufficiently low blood viscosity to allow rapid blood flow has been achieved during evolution. The optimal value lies between the extreme cases of pure blood plasma, which cannot practically transport any oxygen, and 100% hematocrit, which would imply very slow blood flow or none at all. As oxygen delivery to tissues is the main task of the cardiovascular system, it is reasonable to expect that maximum oxygen delivery has been achieved during evolution. Optimal hematocrit theory, based on this optimality principle, has been successful in predicting hematocrit values of about 0.3-0.5, which are indeed observed in the systemic circulation of humans and many animal species. Similarly, the theory can explain why a hematocrit higher than normal, ranging from 0.5 to 0.7, can promote better exertional performance. Here, we present a review of theoretical approaches to the calculation of the optimal hematocrit value under different conditions and discuss them in a broad physiological context. Several physiological and medical implications are outlined, for example, in view of blood doping, temperature adaptation, dehydration, and life at high altitudes.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24019165
003      
CZ-PrNML
005      
20241024111645.0
007      
ta
008      
241015s2024 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1152/japplphysiol.00034.2024 $2 doi
035    __
$a (PubMed)38813609
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Sitina, Michal $u Department of Pathophysiology, Masaryk University, Brno, Czech Republic $u Department of Anesthesiology and Intensive Care Medicine and International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic $1 https://orcid.org/0000000167698616
245    10
$a Optimal hematocrit theory: a review / $c M. Sitina, H. Stark, S. Schuster
520    9_
$a In humans and many animals, a trade-off between a sufficiently high concentration of erythrocytes (hematocrit) to bind oxygen and sufficiently low blood viscosity to allow rapid blood flow has been achieved during evolution. The optimal value lies between the extreme cases of pure blood plasma, which cannot practically transport any oxygen, and 100% hematocrit, which would imply very slow blood flow or none at all. As oxygen delivery to tissues is the main task of the cardiovascular system, it is reasonable to expect that maximum oxygen delivery has been achieved during evolution. Optimal hematocrit theory, based on this optimality principle, has been successful in predicting hematocrit values of about 0.3-0.5, which are indeed observed in the systemic circulation of humans and many animal species. Similarly, the theory can explain why a hematocrit higher than normal, ranging from 0.5 to 0.7, can promote better exertional performance. Here, we present a review of theoretical approaches to the calculation of the optimal hematocrit value under different conditions and discuss them in a broad physiological context. Several physiological and medical implications are outlined, for example, in view of blood doping, temperature adaptation, dehydration, and life at high altitudes.
650    _2
$a hematokrit $x metody $7 D006400
650    _2
$a lidé $7 D006801
650    _2
$a zvířata $7 D000818
650    12
$a kyslík $x krev $x metabolismus $7 D010100
650    _2
$a viskozita krve $x fyziologie $7 D001809
650    _2
$a modely kardiovaskulární $7 D008955
650    _2
$a erytrocyty $x fyziologie $x metabolismus $7 D004912
655    _2
$a časopisecké články $7 D016428
655    _2
$a přehledy $7 D016454
700    1_
$a Stark, Heiko $u Department of Bioinformatics, Friedrich Schiller University, Jena, Germany $u Institute of Zoology and Evolutionary Research, Friedrich Schiller University, Jena, Germany $1 https://orcid.org/0000000164509744
700    1_
$a Schuster, Stefan $u Department of Bioinformatics, Friedrich Schiller University, Jena, Germany
773    0_
$w MED00002527 $t Journal of applied physiology (Bethesda, Md. : 1985) $x 1522-1601 $g Roč. 137, č. 3 (2024), s. 494-509
856    41
$u https://pubmed.ncbi.nlm.nih.gov/38813609 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20241015 $b ABA008
991    __
$a 20241024111639 $b ABA008
999    __
$a ok $b bmc $g 2201789 $s 1231138
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2024 $b 137 $c 3 $d 494-509 $e 20240530 $i 1522-1601 $m Journal of applied physiology (Bethesda, Md. : 1985) $n J Appl Physiol (1985) $x MED00002527
LZP    __
$a Pubmed-20241015

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...