Further evaluation of a new standard of efficacy for stored platelets

AuBuchon, James P.; Herschel, Louise; Roger, J

doi:10.1111/j.1537-2995.2005.00177.x

Cited by 27 publications

(36 citation statements)

References 10 publications

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“…Because of small numbers, none of these site or radiolabel differences achieved significance. Similarly, in another apheresis study, no differences were observed in the results based on the radiolabel used for the fresh and stored PLT studies 18 …”

Section: Discussionmentioning

confidence: 83%

Viability and function of 8‐day‐stored apheresis platelets

et al. 2006

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Section: Discussionmentioning

confidence: 83%

Viability and function of 8‐day‐stored apheresis platelets

et al. 2006

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“…This is currently the most widely used model for the interpretation of clinical data [7], [17], [18], [19], [20], [21], [22]. Unlike random and lifespan-dependent consumption, this model is not supported by any well characterized physical process, and a model based solely on lifespan-dependent platelet consumption demonstrates a better fit to in vivo platelet consumption data [5].…”

Section: Introductionmentioning

confidence: 99%

A Numerical Analysis Model for the Interpretation of In Vivo Platelet Consumption Data

Strom

2013

PLoS ONE

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Unlike anemias, most thrombocytopenias cannot be separated into those due to impaired production and those due to accelerated consumption. While rapid clearance of labeled platelets from the bloodstream can be followed in thrombocytopenic individuals, no model exists for quantitatively inferring from autologous or allogeneic platelet consumption data what changes in random consumption, lifespan dependent consumption, and platelet production rate may have caused the thrombocytopenia. Here we describe a numerical analysis model which resolves these issues. The model applies three parameter values (a random consumption rate constant, a lognormally-distributed platelet lifespan, and the standard deviation of the latter) to a matrix comprising a series of platelet cohorts which are sequentially produced and fractionally consumed in a series of time intervals. The cohort platelet counts achieved after equilibration of production and consumption both enumerate the population age distribution and sum to the population platelet count. Continued platelet consumption after production is halted then serves to model in vivo platelet consumption data, with consumption rate in the first such interval defining the equilibrium platelet production rate. We use a least squares fitting procedure to find parameter values which best fit observed platelet consumption data obtained in WT and thrombocytopenic WASP(-) mice. Equilibrium platelet age distributions are then ‘grafted’ into the matrix to allow modeling of the consumption of WT platelets in WASP(-) recipients, and vice versa. The optimal parameter values obtained indicate that random WT platelet consumption accounts for a larger fraction of platelet turnover than was previously suspected. Platelet WASP deficiency accelerates random consumption, and a trans effect of recipient WASP deficiency contributes to this. Application of the model to clinical data will allow distinctions to be made between thrombocytopenias due primarily to impaired platelet production and those due to acceleration of random or lifespan-dependent platelet consumption.

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“…Here, we report in vitro effects of platelet storage for up to 9 days, comparing PO‐80 with another polyolefin, PL2410 (Baxter Healthcare, Deerfield, IL, USA). Next, to assess the clinical utility of PO‐80, we recruited healthy volunteers to compare in vivo survival and recovery of autologous platelets stored in PO‐80 for 7 days with fresh platelets manually separated from whole blood [8] and radiolabelled with either 111 In or 51 Cr. This is one of only a few platelet studies to date in which the Murphy method [9] has been properly executed, analysed and reported.…”

Section: Introductionmentioning

confidence: 99%