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Assessment of Intensive Care Unit Laboratory Values That Differ From Reference Ranges and Association With Patient Mortality and Length of Stay.
Tyler, Patrick D; Du, Hao; Feng, Mengling; Bai, Ran; Xu, Zenglin; Horowitz, Gary L; Stone, David J; Celi, Leo Anthony.
Afiliación
  • Tyler PD; Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
  • Du H; Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore.
  • Feng M; Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore.
  • Bai R; School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
  • Xu Z; School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
  • Horowitz GL; Pathology and Laboratory Medicine, Tufts University School of Medicine, Boston, Massachusetts.
  • Stone DJ; Departments of Anesthesiology and Neurosurgery, University of Virginia School of Medicine, Charlottesville.
  • Celi LA; Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology, Cambridge.
JAMA Netw Open ; 1(7): e184521, 2018 11 02.
Article en En | MEDLINE | ID: mdl-30646358
ABSTRACT
Importance Laboratory data are frequently collected throughout the care of critically ill patients. Currently, these data are interpreted by comparison with values from healthy outpatient volunteers. Whether this is the most useful comparison has yet to be demonstrated.

Objectives:

To understand how the distribution of intensive care unit (ICU) laboratory values differs from the reference range, and how these distributions are related to patient outcomes. Design, Setting, and

Participants:

Cross-sectional study of a large critical care database, the Medical Information Mart for Intensive Care database, from January 1, 2001, to October 31, 2012. The database is collected from ICU data from a large tertiary medical center in Boston, Massachusetts. The data are collected from medical, cardiac, neurologic, and surgical ICUs. All patients in the database from all ICUs for 2001 to 2012 were included. Common laboratory measurements over the time window of interest were sampled. The analysis was conducted from March to June 2017. Main Outcomes and

Measures:

The overlapping coefficient and Cohen standardized mean difference between distributions were calculated, and kernel density estimate visualizations for the association between laboratory values and the probability of death or quartile of ICU length of stay were created.

Results:

Among 38 605 patients in the ICU (21 852 [56.6%] male; mean [SD] age, 74.5 [55.1] years), 8878 (23%) had the best outcome (ICU survival, shortest quartile length of stay) and 3090 (8%) had the worst outcome (ICU nonsurvival). Distribution curves based on ICU data differed significantly from the hospital standard range (mean [SD] overlapping coefficient, 0.51 [0.32-0.69]). All laboratory values for the best outcome group differed significantly from those in the worst outcome group. Both the best and worst outcome group curves revealed little overlap with and marked divergence from the reference range. Conclusions and Relevance The standard reference ranges obtained from healthy volunteers differ from the analogous range generated from data from patients in intensive care. Laboratory data interpretation may benefit from greater consideration of clinically contextual and outcomes-related factors.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad Crítica / Unidades de Cuidados Intensivos / Tiempo de Internación Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: JAMA Netw Open Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad Crítica / Unidades de Cuidados Intensivos / Tiempo de Internación Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: JAMA Netw Open Año: 2018 Tipo del documento: Article