Literature DB >> 694427

Interpretation of measured red cell mass in the diagnosis of polycythaemia.

T C Pearson, U H Glass, G Wetherley-Mein.   

Abstract

Expression of predicted and measured red cell mass (RCM) in terms of ml/kg body wt. lacks precision. The use of formulae for prediction of normal mean red cell mass derived from the blood volume prediction (BV) of Nadler et al (1962) has been examined. It is proposed that a more accurate determination of mean normal predicted red cell mass (MNRCM) is obtained by using: 0.47 X 0.91 X BV = MNRCM for males; 0.43 X 0.91 X BV = MNRCM for females. The MNRCMs given by these formulae agree with those given by predictions based on lean body mass and surface area. Examination of the '95% confidence limits' of the 'Nadler' prediction indicates that males with measured RCMs greater than 25% and females with measured RCMs greater than 30% above their MNRCM may be regarded as having polycythaemia.

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Year:  1978        PMID: 694427     DOI: 10.1111/j.1600-0609.1978.tb02506.x

Source DB:  PubMed          Journal:  Scand J Haematol        ISSN: 0036-553X


  3 in total

1.  Cerebral blood flow and blood viscosity in patients with polycythaemia secondary to hypoxic lung disease.

Authors:  J P Wade; T C Pearson; R W Russell; G Wetherley-Mein
Journal:  Br Med J (Clin Res Ed)       Date:  1981-09-12

2.  A Novel Approach to Predict 24-Hour Energy Expenditure Based on Hematologic Volumes: Development and Validation of Models Comparable to Mifflin-St Jeor and Body Composition Models.

Authors:  Douglas C Chang; Paolo Piaggi; Jonathan Krakoff
Journal:  J Acad Nutr Diet       Date:  2017-05-29       Impact factor: 4.910

3.  Greater blood volume and Hb mass in obese women quantified by the carbon monoxide-rebreathing method affects interpretation of iron biomarkers and iron requirements.

Authors:  Ana C Cepeda-Lopez; Michael B Zimmermann; Sophia Wussler; Alida Melse-Boonstra; Nicole Naef; Sandro Manuel Mueller; Marco Toigo; Isabelle Herter-Aeberli
Journal:  Int J Obes (Lond)       Date:  2018-06-15       Impact factor: 5.095

  3 in total

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