A Reflex Protocol for Creatinine Testing Reduces Costs and Maintains Patient Safety.


Journal

Laboratory medicine
ISSN: 1943-7730
Titre abrégé: Lab Med
Pays: England
ID NLM: 0250641

Informations de publication

Date de publication:
08 Apr 2019
Historique:
pubmed: 18 10 2018
medline: 9 5 2019
entrez: 18 10 2018
Statut: ppublish

Résumé

The Jaffe and enzymatic methods are the 2 most common methods for creatinine measurement. The Jaffe method is less expensive but subject to interferences. Some laboratory scientists have called for the Jaffe method to be retired. To determine the most cost-effective and safe protocol for creatinine measurement. We performed a retrospective database review of all outpatient creatinine measurements for 1 year, testing the risk-based reflex testing protocol we had implemented for creatinine measurement. Samples were first measured using the Jaffe method and were reflexed to the enzymatic method if the estimated glomerular filtration rate (eGFR) was between 55 and 65 mL per min per 1.73 m2. There were 104,530 creatinine measurements, of which 11,420 (10.9%) were reflexed to the enzymatic method. The Jaffe method had a positive bias of 0.08 mg per dL (-6.14 mL/min/1.73 m2 eGFR). A total of 3.4% of the paired reflexed specimens were discordant. Also, 133 (1.2%) of the Jaffe results were classified as false negatives and 3411 (29.9%) were classified as false positives. None of the false-negative results and 5 of the false-positive results were considered clinically significant. Using the reflex protocol saved approximately $40,000 per year. The reflex protocol for creatinine measurement can reduce costs with acceptable risk.

Sections du résumé

BACKGROUND BACKGROUND
The Jaffe and enzymatic methods are the 2 most common methods for creatinine measurement. The Jaffe method is less expensive but subject to interferences. Some laboratory scientists have called for the Jaffe method to be retired.
OBJECTIVE OBJECTIVE
To determine the most cost-effective and safe protocol for creatinine measurement.
METHOD METHODS
We performed a retrospective database review of all outpatient creatinine measurements for 1 year, testing the risk-based reflex testing protocol we had implemented for creatinine measurement. Samples were first measured using the Jaffe method and were reflexed to the enzymatic method if the estimated glomerular filtration rate (eGFR) was between 55 and 65 mL per min per 1.73 m2.
RESULTS RESULTS
There were 104,530 creatinine measurements, of which 11,420 (10.9%) were reflexed to the enzymatic method. The Jaffe method had a positive bias of 0.08 mg per dL (-6.14 mL/min/1.73 m2 eGFR). A total of 3.4% of the paired reflexed specimens were discordant. Also, 133 (1.2%) of the Jaffe results were classified as false negatives and 3411 (29.9%) were classified as false positives. None of the false-negative results and 5 of the false-positive results were considered clinically significant. Using the reflex protocol saved approximately $40,000 per year.
CONCLUSIONS CONCLUSIONS
The reflex protocol for creatinine measurement can reduce costs with acceptable risk.

Identifiants

pubmed: 30329079
pii: 5134056
doi: 10.1093/labmed/lmy062
doi:

Substances chimiques

Creatinine AYI8EX34EU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

202-207

Subventions

Organisme : CSRD VA
ID : IK2 CX000537
Pays : United States

Informations de copyright

© American Society for Clinical Pathology 2018. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Christopher M Lehman (CM)

Department of Pathology, University of Utah Health, Salt Lake City, UT.

Lauren Pearson (L)

Department of Pathology, University of Utah Health, Salt Lake City, UT.

Jennifer Salmond (J)

ARUP Laboratories, University of Utah Health, Salt Lake City, UT.

Kalani Raphael (K)

Division of Nephrology, Department of Internal Medicine, University of Utah Health, Salt Lake City, UT.

Robert L Schmidt (RL)

Department of Pathology, University of Utah Health, Salt Lake City, UT.

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Classifications MeSH