Literature DB >> 30689683

Time-Series Analysis of Laboratory Values in the Context of Long-Term Hospitalized Patient Mortality.

Amir Momeni Boroujeni1, Elham Yousefi1, Alejandro Zuretti1.   

Abstract

OBJECTIVES: Long-term hospitalized patients have a higher risk of adverse outcomes and mortality rate. These patients often rapidly deteriorate, leading to death. We aim to evaluate end-of-life laboratory values time trends among deceased long-term inpatients.
METHODS: Time-stamped laboratory data for adult inpatients who had died in the hospital were extracted. The data were normalized and time-series analysis was performed. The patients were also clustered based on the laboratory result trends.
RESULTS: Laboratory results from 257 patients were evaluated. Significant time trends were observed: serum urea nitrogen, aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, and potassium increased while platelets and albumin decreased. Most patients showed significant shifts in at least four major laboratory indices within the last week of life.
CONCLUSIONS: In the last week of life in chronically hospitalized patients, an alteration of the physiologic state of the patient occurs that manifests as subtle changes in metabolite levels compared with the patient's baseline. © American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Laboratory tests; Perimortem; Time-series analysis

Mesh:

Substances:

Year:  2019        PMID: 30689683     DOI: 10.1093/ajcp/aqy163

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  2 in total

1.  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

2.  A retrospective cross-sectional study for predicting 72-h mortality in patients with serum aspartate aminotransferase levels ≥ 3000 U/L.

Authors:  Kai Saito; Hitoshi Sugawara; Tamami Watanabe; Akira Ishii; Takahiko Fukuchi
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.