Literature DB >> 8132815

Deriving a useful packed cell volume estimate from haemoglobin analysis.

G O'Connor1, A M Molloy, L Daly, J M Scott.   

Abstract

A method is described whereby the packed cell volume (PCV) of a blood sample can be estimated from the haemoglobin concentration. The method defines the relation existing between haemoglobin concentration and the PCV of blood samples and uses the mathematical formula thus obtained to estimate an unknown PCV value for a sample by extrapolation from the known haemoglobin value of the same sample. The method could be used in large scale field studies where haematological services are not available and where an evaluation of red cell status of vitamins such as folate is required.

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Year:  1994        PMID: 8132815      PMCID: PMC501762          DOI: 10.1136/jcp.47.1.78

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  2 in total

1.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

2.  Hemoglobinometry in human blood.

Authors:  L Tentori; A M Salvati
Journal:  Methods Enzymol       Date:  1981       Impact factor: 1.600

  2 in total
  2 in total

1.  Declining burden of malaria over two decades in a rural community of Muheza district, north-eastern Tanzania.

Authors:  Deus S Ishengoma; Bruno P Mmbando; Method D Segeja; Michael Alifrangis; Martha M Lemnge; Ib C Bygbjerg
Journal:  Malar J       Date:  2013-09-22       Impact factor: 2.979

2.  Density, heterogeneity and deformability of red cells as markers of clinical severity in hereditary spherocytosis.

Authors:  Rick Huisjes; Asya Makhro; Esther Llaudet-Planas; Laura Hertz; Polina Petkova-Kirova; Liesbeth P Verhagen; Silvia Pignatelli; Minke A E Rab; Raymond M Schiffelers; Elena Seiler; Wouter W van Solinge; Joan-LLuis Vives Corrons; Lars Kaestner; Maria Mañú-Pereira; Anna Bogdanova; Richard van Wijk
Journal:  Haematologica       Date:  2020-01-31       Impact factor: 9.941

  2 in total

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