Literature DB >> 27565161

What Alert Thresholds Should Be Used to Identify Critical Risk Results: A Systematic Review of the Evidence.

Craig A Campbell1,2, Andrew Georgiou3, Johanna I Westbrook3, Andrea R Horvath2.   

Abstract

BACKGROUND: Pathology laboratories are required to immediately report results which indicate a patient is at critical risk, but there is little consensus about what values are deemed critical. The aim of this review was to systematically review the literature on alert thresholds for common chemistry and hematology tests in adults and to provide an explicit and ranked source of this evidence.
METHODS: The literature search covered the period of 1995-2014. Evidence sources were critically appraised and ranked using the 1999 Stockholm hierarchy for analytical performance specifications in laboratory medicine modified for establishing decision limits.
RESULTS: The 30 most frequently reported laboratory tests with alert thresholds are presented with evidence rankings. Similar thresholds were reported in North America, Europe and Asia. Seventy percent of papers reported thresholds set by individual institutions, while 18% contained thresholds from surveys of laboratories or clinicians. Forty-six percent of the papers referred to 1 or both of the 2 American laboratory surveys from the early 1990s. "Starter sets" of alert thresholds were recommended by 6 professional bodies, 3 of which were collaborations between pathologists and clinicians. None of the 9 outcome studies identified dealt with confounding factors.
CONCLUSIONS: Recommendations by professional bodies based on outdated surveys of the former state of the art or consensus are currently the best sources of evidence for laboratories to build their alert list. Well-designed outcome studies and greater collaboration between clinicians and the laboratory are needed to identify the most appropriate alert thresholds that signify actionable, critical or significant risk to patient well-being.
© 2016 American Association for Clinical Chemistry.

Entities:  

Mesh:

Year:  2016        PMID: 27565161     DOI: 10.1373/clinchem.2016.260638

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  4 in total

Review 1.  Errors within the total laboratory testing process, from test selection to medical decision-making - A review of causes, consequences, surveillance and solutions.

Authors:  Cornelia Mrazek; Giuseppe Lippi; Martin H Keppel; Thomas K Felder; Hannes Oberkofler; Elisabeth Haschke-Becher; Janne Cadamuro
Journal:  Biochem Med (Zagreb)       Date:  2020-06-15       Impact factor: 2.313

2.  A deep learning backcasting approach to the electrolyte, metabolite, and acid-base parameters that predict risk in ICU patients.

Authors:  Albion Dervishi
Journal:  PLoS One       Date:  2020-12-17       Impact factor: 3.240

3.  Assessment of a laboratory critical risk result notification protocol in a tertiary care hospital and their use in clinical decision making.

Authors:  Jose A Delgado Rodríguez; Maria I Pastor García; Cristina Gómez Cobo; Antonia R Pons Más; Isabel Llompart Alabern; Josep Miquel Bauça
Journal:  Biochem Med (Zagreb)       Date:  2019-08-05       Impact factor: 2.313

4.  Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning.

Authors:  Frank Lien; Hsin-Yao Wang; Jang-Jih Lu; Ying-Hao Wen; Tzong-Shi Chiueh
Journal:  Med Care       Date:  2021-03-01       Impact factor: 3.178

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.