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Related Concept Videos

Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

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Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
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Quality Assurance01:19

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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Data Validation01:15

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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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Pulse rhythm01:30

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
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  1. Home
  3. Research Domains
  5. Chemical Sciences
  7. Analytical Chemistry
  9. Quality Assurance, Chemometrics, Traceability And Metrological Chemistry
  11. Sharing Reference Intervals And Monitoring Patients Across Laboratories - Findings From A Likely Commutable External Quality Assurance Program.
  1. Home
  3. Research Domains
  5. Chemical Sciences
  7. Analytical Chemistry
  9. Quality Assurance, Chemometrics, Traceability And Metrological Chemistry
  11. Sharing Reference Intervals And Monitoring Patients Across Laboratories - Findings From A Likely Commutable External Quality Assurance Program.

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Sharing reference intervals and monitoring patients across laboratories - findings from a likely commutable external quality assurance program.

Christopher J L Farrell1, Graham R D Jones2,3, Kenneth A Sikaris4,5

  • 1New South Wales Health Pathology, Liverpool Hospital, Liverpool, Australia.

Clinical Chemistry and Laboratory Medicine
|March 4, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

External quality assurance (EQA) data can assess if laboratory analytical performance supports common reference intervals (CRIs) and clinical decision limits. Many analytes failed to meet specifications, highlighting the need for improved EQA monitoring systems.

Keywords:
between-method biascommon reference intervalscommutable quality assurancepatient monitoring

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Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Quality Assurance

Background:

  • Laboratory results are increasingly interpreted using common reference intervals (CRIs), clinical decision limits, and longitudinal patient data.
  • Current systems lack established methods to verify if analytical performance justifies these interpretations.
  • External quality assurance (EQA) programs offer potential data for assessing analytical performance.

Purpose of the Study:

  • To analyze EQA data to determine if current analytical performance justifies common reference interval (CRI) and clinical decision limit interpretations.
  • To assess the suitability of EQA data for monitoring patient testing across different laboratories.

Main Methods:

  • Evaluated instrument group medians against minimum bias specifications for CRIs.
  • Assessed clinical decision limits using professional body specifications.
  • Compared all-laboratory imprecision to within-subject biological variation for patient monitoring.

    • Main Results:

    • Five of 18 analytes with Australasian CRIs failed to meet specifications across all instrument groups.
    • Triglycerides met bias and imprecision specifications for clinical decision limits; vitamin D met imprecision.
    • Only 33% of analyte-method groups met minimum imprecision specifications for patient monitoring across laboratories.

    Conclusions:

    • Commutable EQA program data can effectively monitor if analytical performance supports contemporary laboratory interpretations.
    • EQA providers should implement systems to routinely share this performance data with laboratories.
    • This monitoring is crucial for ensuring the reliability of laboratory result interpretations.