Evidence map›Paper›PMID 35626327›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Performance of the Abbott Architect Immuno-Chemiluminometric NT-proBNP Assay.

Chin-Shern Lau, Ya Li Liang, Soon Kieng Phua, Gillian Murtagh, Imo E Hoefer, Ron H Stokwielder, Milica Kosevich, Jennifer Yen, Jaganathan Sickan, Christos Varounis and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Chin-Shern LauDepartment of Laboratory Medicine, Changi General Hospital, 2 SIMEI STREET 3, Singapore 529889, Singapore.
Ya Li LiangDepartment of Laboratory Medicine, Changi General Hospital, 2 SIMEI STREET 3, Singapore 529889, Singapore.
Soon Kieng PhuaDepartment of Laboratory Medicine, Changi General Hospital, 2 SIMEI STREET 3, Singapore 529889, Singapore.
Gillian MurtaghAbbott Laboratories, Abbott Park, IL 60064, USA.
Imo E HoeferCentral Diagnostic Laboratory, University Medical Center, 3584 CX Utrecht, The Netherlands.
Ron H StokwielderCentral Diagnostic Laboratory, University Medical Center, 3584 CX Utrecht, The Netherlands.
Milica KosevichAbbott Laboratories, Abbott Park, IL 60064, USA.
Jennifer YenAbbott Laboratories, Abbott Park, IL 60064, USA.
Jaganathan SickanAbbott Laboratories, Abbott Park, IL 60064, USA.
Christos VarounisAbbott Laboratories, Abbott Park, IL 60064, USA.
Tar-Choon AwDepartment of Laboratory Medicine, Changi General Hospital, 2 SIMEI STREET 3, Singapore 529889, Singapore.ORCID 0000-0002-7814-8836
Abbott Fund · USChangi General Hospital · SGUniversity Medical Center Utrecht · NLNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We evaluated the performance of the Abbott N-terminal pro-brain natriuretic peptide (NT-proBNP) assay against the Roche NT-proBNP immunoassay across two sites. Methods: Precision, linearity, and sensitivity studies were performed. A combined method of comparison and regression analysis was performed between the Roche and Abbott assays using samples from both sites (n = 494). To verify biotin interference, lyophilised biotin powder was reconstituted and spiked into serum samples at two medical decision levels (final concentration 500/4250 ng/mL) and compared to controls. NT-proBNP was also measured in anonymised leftover sera (n = 388) in a cardio-renal healthy population and stratified into three age bands—<50 (n = 145), 50−75 (n = 183) and >75 (n = 60). Results: Between-run precision (CV%) for NT-proBNP was 4.17/4.50 (139.5/142.0 pg/mL), 3.83/2.17 (521.6/506.3), and 4.60/2.51 (5053/4973), respectively. The assay was linear from 0.7−41,501 pg/mL. The limit of blank/quantitation was 1.2/7.9 pg/mL. The assay showed no interference from biotin up to 4250 ng/mL. Passing−Bablok regression analysis showed excellent agreement between the two assays (r = 0.999, 95% CI 0.999 to 0.999, p < 0.0001). The Roche assay had a slightly persistent, negative bias across different levels of NT-proBNP. ESC age cut-offs for diagnosing acute heart failure are applicable for the Abbott assay, with the median NT-proBNP of subjects < 50 years old at 43.0 pg/mL (range 4.9−456 pg/mL), 50−75 years old at 95.1 pg/mL (range 10.5−1079 pg/mL), and >75 years old at 173.1 pg/mL (range 23.2−1948 pg/mL). Conclusions: The Abbott Architect NT-proBNP assay has good performance that agrees with the manufacturer’s specifications. ESC/AHA recommended NT-proBNP age groups for acute heart failure diagnosis are applicable to this assay.

Indexed as

heart failureimmunoassayNT-proBNP

Identifiers

PMID35626327
PMCPMC9140882
OpenAlexW4229336756

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.