Evidence map›Paper›PMID 29500827›Full record

ArticleJournal of clinical laboratory analysis2018

Concordance between point-of-care blood gas analysis and laboratory autoanalyzer in measurement of hemoglobin and electrolytes in critically ill patients.

Shivesh Prakash, Shailesh Bihari, Zhan Y Lim, Santosh Verghese, Hemant Kulkarni, Andrew D Bersten

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. A Retrospective Database Analysis to Investigate if Electrolytes in Venous Blood are Equivalent to the Levels in Arterial Blood.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
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  6. Article
  7. Intra-patient potassium variability after hypothermic cardiac arrest: a multicentre, prospective study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2019
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Shivesh PrakashDepartment of Intensive care, Flinders Medical Centre, Bedford Park, SA, Australia.
Shailesh BihariDepartment of Intensive care, Flinders Medical Centre, Bedford Park, SA, Australia.
Zhan Y LimFlinders University, Bedford Park, SA, Australia.
Santosh VergheseDepartment of Intensive care, Flinders Medical Centre, Bedford Park, SA, Australia.
Hemant KulkarniSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Andrew D BerstenDepartment of Intensive care, Flinders Medical Centre, Bedford Park, SA, Australia.
Flinders University · AUFlinders Medical Centre · AUThe University of Texas Rio Grande Valley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe tested the hypothesis that the results of the same test performed on point-of-care blood gas analysis (BGA) machine and automatic analyzer (AA) machine in central laboratory have high degree of concordance in critical care patients and that the two test methods could be used interchangeably.

methodsWe analyzed 9398 matched pairs of BGA and AA results, obtained from 1765 patients. Concentration pairs of the following analytes were assessed: hemoglobin, glucose, sodium, potassium, chloride, and bicarbonate. We determined the agreement using concordance correlation coefficient (CCC) and Bland-Altman analysis. The difference in results was also assessed against the United States Clinical Laboratory Improvement Amendments (US-CLIA) 88 rules. The test results were considered to be interchangeable if they were within the US-CLIA variability criteria and would not alter the clinical management when compared to each other.

resultsThe median time interval between sampling for BGA and AA in each result pair was 5 minutes. The CCC values ranged from 0.89(95% CI 0.89-0.90) for chloride to 0.98(95% CI 0.98-0.99) for hemoglobin. The largest bias was for hemoglobin. The limits of agreement relative to bias were largest for sodium, with 3.4% of readings outside the US-CLIA variation rule. The number of readings outside the US-CLIA acceptable variation was highest for glucose (7.1%) followed by hemoglobin (5.9%) and chloride (5.2%).

conclusionWe conclude that there is moderate to substantial concordance between AA and BGA machines on tests performed in critically ill patients. However, the two tests methods cannot be used interchangeably, except for potassium.

Indexed as

automatic analyzerblood gas analysisElectrolyteshemoglobin

Identifiers

PMID29500827
PMCPMC6817263
OpenAlexW2790009386

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.