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Accounting for differences between serum and plasma: An indirect approach to derive reference intervals for total protein, albumin, and globulin.
Militello, Leah; El-Khoury, Joe M; Durant, Thomas J S.
Afiliación
  • Militello L; Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, United States.
  • El-Khoury JM; Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, United States.
  • Durant TJS; Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, United States; Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, United States. Electronic address: thomas.durant@yale.edu.
Clin Chim Acta ; 562: 119851, 2024 Aug 15.
Article en En | MEDLINE | ID: mdl-38977172
ABSTRACT

BACKGROUND:

Observable quantitative variations exist between plasma and serum in routine protein measurements, often not reflected in standard reference intervals. In this study, we describe an indirect approach for estimating a combined reference interval (RI) (i.e., serum and plasma), for commonly ordered protein measurands total protein, albumin, and globulin.

METHODS:

We applied an indirect reference interval estimation for protein measurements in serum and plasma using data from July 2018 to February 2024. The data were divided into three Epochs based on a period of plasma separator tube shortage during the COVID-19 pandemic. Bootstrap resampling was used to calculate RIs and corresponding 95% confidence intervals for each month.

RESULTS:

Our results demonstrate notable changes in RI limits for total protein, albumin, and globulin between Epochs, reflecting the influence of changing sample matrix. A combined RI was identified for all components and verified using plasma and serum samples from 20 healthy individuals and retrospective analysis of flagging rates on our outpatient population using new and historical RIs.

CONCLUSION:

The study demonstrates notable differences in the RIs for total protein, albumin, and globulin when container type changes. In addition, the results demonstrate the effectiveness of big data analytics in deriving RIs and highlights the necessity of continuous RI assessment and adjustment based on the patient population and acceptable specimen types.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Albúmina Sérica / Globulinas Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Chim Acta Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Albúmina Sérica / Globulinas Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Chim Acta Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos