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The Delta-to-Delta Circuit01:17

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A balanced wye-to-delta circuit comprises balanced Y-connected voltage sources and delta-connected loads with no neutral line connection.
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In the delta-wye circuit, the source is delta-connected, while the load is in a wye configuration. This means that the phase voltage of the delta-connected source is equal to the line voltage of the wye-connected load. The connection between two-line currents originates from the delta-connected source. The phase difference in the balanced system allows for calculating one line current given the other, utilizing the positive sequence of phases. In the delta-wye system, the phase currents in the...
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Fertility Preservation Through Oocyte Vitrification: Clinical and Laboratory Perspectives
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Delta Checks in the clinical laboratory.

Edward W Randell1,2, Sedef Yenice3

  • 1a Discipline of Laboratory Medicine , Memorial University; Eastern Health Authority , St. John's , NL , Canada.

Critical Reviews in Clinical Laboratory Sciences
|January 12, 2019
PubMed
Summary

Delta checks are valuable for laboratory quality control, helping identify specimen errors and clinical changes. Careful selection and monitoring are key to maximizing their effectiveness in patient care.

Keywords:
Delta Checkserror identificationindex of individualitypatient based quality controlreference change valuespecimen misidentification

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Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Quality Control

Background:

  • International guidelines recommend delta checks for laboratory quality control.
  • The utility of simple univariate delta checks for error detection needs further study.
  • Specimen misidentification is a primary target for delta check alerts.

Purpose of the Study:

  • To review the application of univariate delta checks (absolute change, percentage change, rate of change).
  • To assess the value of delta checks in identifying laboratory errors and clinically significant changes.
  • To discuss the balance between alert investigation time and error yield.

Main Methods:

  • Review of published literature on univariate delta checks.
  • Analysis of different calculation modes: absolute change, percentage change, rate of change.
  • Discussion of multivariate approaches versus simple univariate methods.

Main Results:

  • Univariate delta checks are effective in identifying specimen misidentification.
  • Low index of individuality analytes often yield better delta check performance.
  • Simple delta checks can detect clinically significant changes in conditions like acute kidney injury and osmotic demyelination syndrome.

Conclusions:

  • Delta checks, despite time-consuming investigations, offer value in laboratory quality control.
  • Careful selection of analytes, calculation modes, and thresholds is crucial.
  • Monitoring performance and balancing false positives/negatives is essential for effective implementation.