Automated Platelet Counts: Accuracy, Precision, and Range

Ross, Dennis W.; Ayscue, Lanier H.; Gulley, Margaret L.

doi:10.1093/ajcp/74.2.151

Cited by 14 publications

(6 citation statements)

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“…Currently, almost all automated hematology cell analyzers, such as the one used in this study (Cell‐Dyn 4000, Abbott Diagnostics, Santa Clara, CA), use methods based on either the impedance (PLTi) or the optical (PLTo) properties of the cells in performing platelet counts. Such methods offer a more accurate and precise measurement of the number of platelets present in a certain volume of blood than do previous methods 5,6 ; however, they still have some limitations, which are usually related to the presence of either RBC and/or WBC fragments, immune complexes, or even bacteria 7 . To improve accuracy and precision during the enumeration of platelets in PB, the use of CD61 (GPIIIa) MoAbs (CD61‐ImmunoPLT method) has recently been introduced into the Cell‐Dyn 4000 automated hematology blood‐analyzer system 8–10 …”

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confidence: 99%

Evaluation of a CD61 MoAb method for enumeration of platelets in thrombocytopenic patients and its impact on the transfusion decision‐making process

et al. 2001

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confidence: 99%

Evaluation of a CD61 MoAb method for enumeration of platelets in thrombocytopenic patients and its impact on the transfusion decision‐making process

et al. 2001

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“…The question of what are the measuring limits of an analytical procedure is fundamental and relevant whenever quantitative measurements are made (eg, in analytical chemistry, clinical chemistry, forensic chemistry, as well as in hematology). However, the topic of the analytical measuring limits in hematology is discussed in only a few articles 6,8 and little or no room is given to this issue in modern hematology textbooks. There are at least two possible explanations for limited studies in this area.…”

Section: Discussionmentioning

confidence: 99%

“…6,8 At low platelet numbers, because fewer cells are counted, observed CVs are expected to be increased and even the use of automated cell counters may be inappropriate.…”

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confidence: 99%

Estimation of the Lower Limits of Manual and Automated Platelet Counting

1996

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Most evaluators of automated or manual methods for platelet counting focus on characteristics such as imprecision, linearity, and carry over. The limits of the analytical procedure are usually not assessed. The limits of the different techniques are neither discussed in the literature nor do manufacturers of analytical systems supply these data.A new procedure is presented to assess the performance of the manual as well as the automated platelet count. This procedure allows, with defined statistical confidence (eg, 95%), the determination of (1) the limit of platelet detection (LD) at which signals of platelets can be discriminated from the system noise; (2) the lower limit of quantification (LLQ), at which a certain imprecision is not surpassed; and (3) the The determination of the number of leukocytes, erythrocytes, and platelets in blood is of great importance in many diagnostic processes. Two analytical procedures are commonly used for blood cell counting: the manual and the automated count. Manual methods for cell counting are known to be time consuming and tedious. 1It is common knowledge that manual cell counting is burdened with high imprecision.2 Nevertheless, these techniques are still used as routine methods in the laboratories of many practitioners or if low or high cell count ranges or atypical cells are present also in specialized hematology laboratories.The introduction of electronic cell counters permit a more precise enumeration of erythrocytes, leukocytes, and platelets and has reduced these drawbacks significantly. Coefficients of variation (CV) <3% can be obtained. 3 The precision and accuracy of electronic cell counters is better compared to manual counting mainly because a much higher number of cells is counted.2 This fact might lead to the assumption that this superior performance can be observed over the entire measuring range. Few authors have stressed the fact that this assumption is valid only for a limited measuring interval. 4 In the past, neither the LD nor the LLQ have been determined. When describing the analytical performance of an instrument, manufacturers of cell counters and evaluators of new instruments pay much attention to international committee recommendations.5 These include issues such as linearity, imprecision, and carry over, 67 but only a few authors ask what the limits of cell counting are at various platelet count levels. 6,8 At low platelet numbers, because fewer cells are counted, observed CVs are expected to be increased and even the use of automated cell counters may be inappropriate.5 For very high cell numbers, it is mainly the inaccuracy of the cell count that has to be critically evaluated. It is common practice to use manual counting methods if platelet numbers are low. The decision to use manual rather than electronic counting is based more on subjective impressions than on a solid statistical basis. In 1986, Hackney and coworkers 9 pointed out that there is a need for improvement in instrument and kit evaluations and stated that in contrast to clinical c...

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“…A number of methods have been developed for the determina tion of platelet size distribution and MPV (11)(12)(13)(14). Electronic particle analysis is fast, accurate and convenient.…”

Section: Point During Preparation Of Prp Have a Similar Size Distribumentioning

confidence: 99%

Platelet Function, Size and Yield in Whole Blood and in Platelet-Rich Plasma Prepared Using Differing Centrifugation Force and Time in Domestic and Food-Producing Animals

et al. 1983

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SummaryThe effects of centrifugation force and time upon platelets function, mean platelet volume and platelet yield were compared with whole blood platelet counts and size in citrated blood samples from the bovine, canine, caprine, equine, feline, ovine and porcine species. The results were similar, for a given species, irregardless of sample volume. Bovine, caprine, feline and ovine platelet yields and mean platelet volumes were maximal when platelet-rich plasma was prepared using longer centrifugation times and lower gravitational forces. Canine, equine and porcine platelet yields and mean platelet volumes were maximal when platelet-rich plasma was prepared using shorter centrifugation times and higher gravitational forces. Platelet aggregation to adenosine diphosphate or arachidonic add was not effected by the method of platelet-rich plasma preparation in bovine, caprine, feline, ovine or pordne platelets. Equine platelet aggregation was maximal when platelet-rich plasma was prepared using longer centrifugation times and lower gravitational forces. Canine platelet aggregation, particularly arachidonic add-induced aggregation, was maximal when platelet-rich plasma was prepared using short centrifugation times and higher gravitational forces. It appeared that the effects of centrifugation parameters upon platelet yield depended upon the relative difference between platelet and red blood cell volumes.

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Automated Platelet Counts: Accuracy, Precision, and Range

Cited by 14 publications

References 0 publications

Evaluation of a CD61 MoAb method for enumeration of platelets in thrombocytopenic patients and its impact on the transfusion decision‐making process

Evaluation of a CD61 MoAb method for enumeration of platelets in thrombocytopenic patients and its impact on the transfusion decision‐making process

Estimation of the Lower Limits of Manual and Automated Platelet Counting

Platelet Function, Size and Yield in Whole Blood and in Platelet-Rich Plasma Prepared Using Differing Centrifugation Force and Time in Domestic and Food-Producing Animals

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