Evidence map›Paper›PMID 39087885›Full record

ArticleJournal of diabetes investigation2024

Impact of hematocrit levels on the accuracy of specific blood glucose meters: A hospital-based study.

Huan Nguyen Pham, Phuc Nguyen Huu Pham, Hang Thi Phan, Long Thang Cao, Hau Thi Thu Thoi, Tuyen Dang Thanh Do, Tuyet Thi Anh Truong

Abstract read
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Article in Journal of diabetes investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

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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

7 authors.

Huan Nguyen PhamHung Vuong Hospital, Ho Chi Minh City, Vietnam.ORCID https://orcid.org/0009-0000-3256-8328
Phuc Nguyen Huu PhamHung Vuong Hospital, Ho Chi Minh City, Vietnam.
Hang Thi PhanHung Vuong Hospital, Ho Chi Minh City, Vietnam.
Long Thang CaoHung Vuong Hospital, Ho Chi Minh City, Vietnam.
Hau Thi Thu ThoiHung Vuong Hospital, Ho Chi Minh City, Vietnam.
Tuyen Dang Thanh DoHung Vuong Hospital, Ho Chi Minh City, Vietnam.
Tuyet Thi Anh TruongHung Vuong Hospital, Ho Chi Minh City, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionBlood glucose meters are commonly used at the bedside, but most of the meters used in Hung Vuong Hospital (Ho Chi Minh City, Vietnam) are built for self-monitoring and might not be suitable for determining glucose levels in patients. In this study, we aimed to validate the performance of six frequently used meters in our hospital using the Clinical & Laboratory Standards Institute (CLSI) standard, and investigate the hematocrit impact on the accuracy of these meters. MATERIALS AND

methodsA total of 135 pregnant women who underwent a 75-g oral glucose tolerance test consented to participate in the study at Hung Vuong Hospital. Whole blood glucose levels were measured in duplicate using meters, and hematocrit levels were measured using an Alinity h-series analyzer. Within 5 min, plasma glucose levels were measured twice in a row using the Cobas c502 reference analyzer. For accuracy and precision, the hematocrit effect was assed using CLSI POCT12-A3.

resultsOut of six evaluated meters, three meters qualified. For CLSI criterion at glucose concentration of 5.55 mmol/L, Accu-Chek Inform II, Accu-Chek Performa and OneTouch VerioVue achieved 97.31%, 98.08% and 99.62%, respectively. For CLSI criterion at 4.17 mmol/L, these three achieved 100%. Accu-Chek Inform II and Accu-Chek Performa showed an inverse correlation between glucose level and hematocrit with slopes of -0.500 (95% confidence interval -0.678 to -0.322) and -0.396 (95% confidence interval -0.569 to -0.224), whereas OneTouch VerioVue was not affected by hematocrit, with a slope of 0.207 (95% confidence interval -0.026 to 0.440).

conclusionsBlood glucose meters' measurements can be affected by hematocrit, and might provide readings not within an acceptable bias. Medical organizations need to verify or validate before using on patients.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringAdultFemaleGlucose Tolerance TestHematocritHospitalsHumansPregnancyReproducibility of ResultsVietnamBlood GlucoseAccuracyBlood glucose monitorsHematocrit

Identifiers

PMID39087885
PMCPMC11442750

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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.