Literature DB >> 8653873

Mean red cell volume as a correlate of blood pressure.

D S Sharp1, J D Curb, I J Schatz, H J Meiselman, T C Fisher, C M Burchfiel, B L Rodriguez, K Yano.   

Abstract

BACKGROUND: Clinical studies suggest that hypertensives have lower mean corpuscular volume (MCVs) than do normotensives. Epidemiological studies show no relation or higher MCVs. In the present study of elderly men (71 to 93 years of age) of the Honolulu Heart Program, elements of both findings are confirmed. METHODS AND
RESULTS: Three groups are identified: (1) those receiving no hypertension treatment, (2) those receiving treatment with any diuretic, and (3) those receiving treatment with nondiuretics only. MCV is lower in group 3 than in group 1 (-0.85 fL, P<.001) but the same in groups 1 and 2. Within groups 1 and 3, inverse relations of -0.22 and -0.09 mm Hg/fL (P<.05) are noted for systolic (SBP) and diastolic (DBP) blood pressures. No relations are observed in group 2. MCV and red blood cell count (RBC) are inversely correlated (r=-.45). In group 2, adjustment for RBC unmasks a direct relation between MCV and SBP (0.5 mm Hg/fL, P=.02) and DBP (0.3 mm Hg/fL, P=.02). In groups 1 and 3, relations between SBP and MCV are lost after adjustment for RBC (0.005 mm Hg/fL). For DBP, adding RBC plus an MCV x RBC interaction is significant (P<.001). DBP is 5 mm Hg greater in the highest RBC quartile than in the lowest. A +3 mm Hg difference between extreme MCV quartiles is noted only at high RBC levels.
CONCLUSIONS: The relation between blood pressure and red cell measures is probably mediated by whole blood viscosity. Hematocrit is a determinant of whole blood viscosity. Viscosity affects peripheral resistance to blood flow, and peripheral resistance affects DBP. At high RBC levels, MCV may be "downregulated." This may lower whole blood viscosity and partially reduce DBP without compromising flow.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8653873     DOI: 10.1161/01.cir.93.9.1677

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  9 in total

1.  Association of hematocrit with blood pressure and hypertension.

Authors:  Marzieh Emamian; Seyed Mahdi Hasanian; Maryam Tayefi; Moniba Bijari; Faeze Movahedian Far; Mojtaba Shafiee; Amir Avan; Alireza Heidari-Bakavoli; Mohsen Moohebati; Mahmoud Ebrahimi; Sousan Darroudi; Parvin Zamani; Mahmoud Reza Azarpazhooh; Mohsen Nematy; Mohammad Safarian; Gordon A Ferns; Habibollah Esmaeili; Mohammad Reza Parizadeh; Majid Ghayour-Mobarhan
Journal:  J Clin Lab Anal       Date:  2017-01-20       Impact factor: 2.352

2.  Serum alanine aminotransferase is correlated with hematocrit in healthy human subjects.

Authors:  Yun Hu; Soren Snitker; Kathleen A Ryan; Rongze Yang; Braxton D Mitchell; Alan R Shuldiner; Dalong Zhu; Da-Wei Gong
Journal:  Scand J Clin Lab Invest       Date:  2012-05       Impact factor: 1.713

3.  A genome-wide association study of red blood cell traits using the electronic medical record.

Authors:  Iftikhar J Kullo; Keyue Ding; Hayan Jouni; Carin Y Smith; Christopher G Chute
Journal:  PLoS One       Date:  2010-09-28       Impact factor: 3.240

4.  Slaying dementia dragons with blood, lungs, and guts.

Authors:  Joe Verghese
Journal:  J Am Geriatr Soc       Date:  2013-01       Impact factor: 5.562

5.  Spontaneous white matter damage, cognitive decline and neuroinflammation in middle-aged hypertensive rats: an animal model of early-stage cerebral small vessel disease.

Authors:  Daniel Kaiser; Gesa Weise; Karoline Möller; Johanna Scheibe; Claudia Pösel; Sebastian Baasch; Matthias Gawlitza; Donald Lobsien; Kai Diederich; Jens Minnerup; Alexander Kranz; Johannes Boltze; Daniel-Christoph Wagner
Journal:  Acta Neuropathol Commun       Date:  2014-12-18       Impact factor: 7.801

6.  GWAS and PheWAS of red blood cell components in a Northern Nevadan cohort.

Authors:  Robert W Read; Karen A Schlauch; Gai Elhanan; William J Metcalf; Anthony D Slonim; Ramsey Aweti; Robert Borkowski; Joseph J Grzymski
Journal:  PLoS One       Date:  2019-06-13       Impact factor: 3.240

7.  A Mendelian randomization-based exploration of red blood cell distribution width and mean corpuscular volume with risk of hemorrhagic strokes.

Authors:  Jundong Liu; Elizabeth L Chou; Kui Kai Lau; Peter Yat Ming Woo; Tsz Kin Wan; Ruixuan Huang; Kei Hang Katie Chan
Journal:  HGG Adv       Date:  2022-08-10

8.  Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium.

Authors:  Santhi K Ganesh; Neil A Zakai; Frank J A van Rooij; Nicole Soranzo; Albert V Smith; Michael A Nalls; Ming-Huei Chen; Anna Kottgen; Nicole L Glazer; Abbas Dehghan; Brigitte Kuhnel; Thor Aspelund; Qiong Yang; Toshiko Tanaka; Andrew Jaffe; Joshua C M Bis; Germaine C Verwoert; Alexander Teumer; Caroline S Fox; Jack M Guralnik; Georg B Ehret; Kenneth Rice; Janine F Felix; Augusto Rendon; Gudny Eiriksdottir; Daniel Levy; Kushang V Patel; Eric Boerwinkle; Jerome I Rotter; Albert Hofman; Jennifer G Sambrook; Dena G Hernandez; Gang Zheng; Stefania Bandinelli; Andrew B Singleton; Josef Coresh; Thomas Lumley; André G Uitterlinden; Janine M Vangils; Lenore J Launer; L Adrienne Cupples; Ben A Oostra; Jaap-Jan Zwaginga; Willem H Ouwehand; Swee-Lay Thein; Christa Meisinger; Panos Deloukas; Matthias Nauck; Tim D Spector; Christian Gieger; Vilmundur Gudnason; Cornelia M van Duijn; Bruce M Psaty; Luigi Ferrucci; Aravinda Chakravarti; Andreas Greinacher; Christopher J O'Donnell; Jacqueline C M Witteman; Susan Furth; Mary Cushman; Tamara B Harris; Jing-Ping Lin
Journal:  Nat Genet       Date:  2009-10-11       Impact factor: 38.330

9.  Genetic variants that confer resistance to malaria are associated with red blood cell traits in African-Americans: an electronic medical record-based genome-wide association study.

Authors:  Keyue Ding; Mariza de Andrade; Teri A Manolio; Dana C Crawford; Laura J Rasmussen-Torvik; Marylyn D Ritchie; Joshua C Denny; Daniel R Masys; Hayan Jouni; Jennifer A Pachecho; Abel N Kho; Dan M Roden; Rex Chisholm; Iftikhar J Kullo
Journal:  G3 (Bethesda)       Date:  2013-07-08       Impact factor: 3.154

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.