Delta Checks in the clinical laboratory.
International standards and practice guidelines recommend the use of delta check alerts for laboratory test result interpretation and quality control. The value of contemporary applications of simple univariate delta checks determined as an absolute change, percentage change, or rate of change to re...
| Publicado en: | Critical Reviews in Clinical Laboratory Sciences Vol. 56; no. 2; pp. 75 - 98 |
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| Autores principales: | , |
| Formato: | algorithm equations & formulas review tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135862729&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135862729 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10408363 1AV jtl: Critical Reviews in Clinical Laboratory Sciences issn: 10408363 maglogo: Y pubinfo: dt: Mar2019 vid: 56 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 135862729 135862729 135862729 10.1080/10408363.2018.1540536 135862729 ppf: 75 ppct: 23 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Delta Checks in the clinical laboratory. aug: au: Randell, Edward W Yenice, Sedef affil: Discipline of Laboratory Medicine, Memorial University sug: subj: Clinical Laboratories Quality Control (Technology) Specimen Handling Health Care Errors Prevention and Control Strategic Planning Clinical Laboratory Information Systems Kidney Failure, Acute Diagnosis Creatinine Blood Sodium Blood Chest Pain Troponin Biological Assay Methods False Negative Results False Positive Results Demyelinating Diseases Risk Factors Demyelinating Diseases Diagnosis ab: International standards and practice guidelines recommend the use of delta check alerts for laboratory test result interpretation and quality control. The value of contemporary applications of simple univariate delta checks determined as an absolute change, percentage change, or rate of change to recognize specimen misidentification or other laboratory errors has not received much study. This review addresses these three modes of calculation, but in line with the majority of published work, most attention is focused on the identification of specimen misidentification errors. Investigation of delta check alerts are time-consuming and the yield of identified errors is usually small compared to the number of delta check alerts; however, measured analytes with low indices of individuality frequently perform better. While multivariate approaches to delta checks suggest improved usefulness over simple univariate delta check strategies, some of these are complex and not easily applied in contemporary laboratory information systems and middleware. Nevertheless, a simple application of delta checks may hold value in identifying clinically significant changes in several clinical situations: for acute kidney injury using changes in serum creatinine, for risk of osmotic demyelination syndrome using rapid acute changes in serum sodium levels, or for early triage of chest pain patients using high sensitivity troponin assays. A careful and highly selective approach to identifying delta check analytes, calculation modes, and thresholds before putting them into practice is warranted; then follow-up with careful monitoring of performance and balancing true positives, false negatives, and false positives among delta check alerts is needed. pubtype: Academic Journal doctype: algorithm equations & formulas review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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