Prediction model for CD34 positive cell yield in peripheral blood stem cell collection on the fourth day after G-CSF administration ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-07

AUTHORS

Tetsuichi Yoshizato, Naoko Watanabe-Okochi, Yasuhito Nannya, Motoshi Ichikawa, Tsuyoshi Takahashi, Tomohiko Sato, Akiko Masuda, Yutaka Yatomi, Nelson Hirokazu Tsuno, Mineo Kurokawa, Koki Takahashi

ABSTRACT

Allogeneic peripheral blood stem cell transplantation (PBSCT) is an indispensable treatment option for hematological malignancy. The optimal collection day after granulocyte colony-stimulating factor (G-CSF) administration should be determined by peripheral blood pre-apheresis CD34 positive (CD34⁺) cell percentage. However, pre-apheresis CD34⁺ cell analysis is not available for most institutions in Japan. Prediction of the optimal collection day based on objective parameters, other than direct CD34⁺ cell count, is thus an important matter for investigation. To identify potential predictive factors, clinical parameters in 79 related donors who received allogeneic peripheral blood stem cell (PBSC) collection were analyzed. Eight factors were significantly correlated with the number of CD34⁺ cells per donor body weight on the fourth day (day 4) after G-CSF administration in univariate analysis. Using multi-regression analysis, we made a simple scoring system comprising age, sex, LDH on day 4 and RBC count at the baseline, which significantly predicted CD34⁺ cell yield (P = 0.048). This system allows us to determine the optimal PBSC collection day. When the score is 0 or 1 on day 4, starting apheresis on day 5 potentially helps avoiding the need for multiple harvests. Score 3 or 4 on day 4 is indicative of better performance if apheresis is started on day 4. More... »

PAGES

56-65

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12185-013-1366-0

DOI

http://dx.doi.org/10.1007/s12185-013-1366-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050461694

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23695795


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12185-013-1366-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12185-013-1366-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12185-013-1366-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12185-013-1366-0'


 

This table displays all metadata directly associated to this object as RDF triples.

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