Cargando…
Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study
OBJECTIVE: Older emergency department (ED) patients are at high risk of mortality, and it is important to predict which patients are at highest risk. Biomarkers such as lactate, high-sensitivity cardiac troponin T (hs-cTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), D-dimer and procalci...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852925/ https://www.ncbi.nlm.nih.gov/pubmed/33518523 http://dx.doi.org/10.1136/bmjopen-2020-042989 |
_version_ | 1783645887850872832 |
---|---|
author | Zelis, Noortje Hundscheid, Robin Buijs, Jacqueline De Leeuw, Peter W Raijmakers, Maarten TM van Kuijk, Sander MJ Stassen, Patricia M |
author_facet | Zelis, Noortje Hundscheid, Robin Buijs, Jacqueline De Leeuw, Peter W Raijmakers, Maarten TM van Kuijk, Sander MJ Stassen, Patricia M |
author_sort | Zelis, Noortje |
collection | PubMed |
description | OBJECTIVE: Older emergency department (ED) patients are at high risk of mortality, and it is important to predict which patients are at highest risk. Biomarkers such as lactate, high-sensitivity cardiac troponin T (hs-cTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), D-dimer and procalcitonin may be able to identify those at risk. We aimed to assess the discriminatory value of these biomarkers for 30-day mortality and other adverse outcomes. DESIGN: Prospective cohort study. On arrival of patients, five biomarkers were measured. Area under the curves (AUCs) and interval likelihood ratios (LRs) were calculated to investigate the discriminatory value of the biomarkers. SETTING: ED in the Netherlands. PARTICIPANTS: Older (≥65 years) medical ED patients, referred for internal medicine or gastroenterology. PRIMARY AND SECONDARY OUTCOME MEASURES: 30-day mortality was the primary outcome measure, while other adverse outcomes (intensive care unit/medium care unit admission, prolonged length of hospital stay, loss of independent living and unplanned readmission) were the composite secondary outcome measure. RESULTS: The median age of the 450 included patients was 79 years (IQR 73–85). In total, 51 (11.3%) patients died within 30 days. The AUCs of all biomarkers for prediction of mortality were sufficient to good, with the highest AUC of 0.73 for hs-cTnT and NT-proBNP. Only for the highest lactate values, the LR was high enough (29.0) to be applicable for clinical decision making, but this applied to a minority of patients. The AUC for the composite secondary outcome (intensive and medium care admission, length of hospital stay >7 days, loss of independent living and unplanned readmission within 30 days) was lower, ranging between 0.58 and 0.67. CONCLUSIONS: Although all five biomarkers predict 30-day mortality in older medical ED patients, their individual discriminatory value was not high enough to contribute to clinical decision making. TRIAL REGISTRATION NUMBER: NCT02946398; Results. |
format | Online Article Text |
id | pubmed-7852925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-78529252021-02-02 Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study Zelis, Noortje Hundscheid, Robin Buijs, Jacqueline De Leeuw, Peter W Raijmakers, Maarten TM van Kuijk, Sander MJ Stassen, Patricia M BMJ Open Emergency Medicine OBJECTIVE: Older emergency department (ED) patients are at high risk of mortality, and it is important to predict which patients are at highest risk. Biomarkers such as lactate, high-sensitivity cardiac troponin T (hs-cTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), D-dimer and procalcitonin may be able to identify those at risk. We aimed to assess the discriminatory value of these biomarkers for 30-day mortality and other adverse outcomes. DESIGN: Prospective cohort study. On arrival of patients, five biomarkers were measured. Area under the curves (AUCs) and interval likelihood ratios (LRs) were calculated to investigate the discriminatory value of the biomarkers. SETTING: ED in the Netherlands. PARTICIPANTS: Older (≥65 years) medical ED patients, referred for internal medicine or gastroenterology. PRIMARY AND SECONDARY OUTCOME MEASURES: 30-day mortality was the primary outcome measure, while other adverse outcomes (intensive care unit/medium care unit admission, prolonged length of hospital stay, loss of independent living and unplanned readmission) were the composite secondary outcome measure. RESULTS: The median age of the 450 included patients was 79 years (IQR 73–85). In total, 51 (11.3%) patients died within 30 days. The AUCs of all biomarkers for prediction of mortality were sufficient to good, with the highest AUC of 0.73 for hs-cTnT and NT-proBNP. Only for the highest lactate values, the LR was high enough (29.0) to be applicable for clinical decision making, but this applied to a minority of patients. The AUC for the composite secondary outcome (intensive and medium care admission, length of hospital stay >7 days, loss of independent living and unplanned readmission within 30 days) was lower, ranging between 0.58 and 0.67. CONCLUSIONS: Although all five biomarkers predict 30-day mortality in older medical ED patients, their individual discriminatory value was not high enough to contribute to clinical decision making. TRIAL REGISTRATION NUMBER: NCT02946398; Results. BMJ Publishing Group 2021-01-31 /pmc/articles/PMC7852925/ /pubmed/33518523 http://dx.doi.org/10.1136/bmjopen-2020-042989 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Emergency Medicine Zelis, Noortje Hundscheid, Robin Buijs, Jacqueline De Leeuw, Peter W Raijmakers, Maarten TM van Kuijk, Sander MJ Stassen, Patricia M Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study |
title | Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study |
title_full | Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study |
title_fullStr | Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study |
title_full_unstemmed | Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study |
title_short | Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study |
title_sort | value of biomarkers in predicting mortality in older medical emergency department patients: a dutch prospective study |
topic | Emergency Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852925/ https://www.ncbi.nlm.nih.gov/pubmed/33518523 http://dx.doi.org/10.1136/bmjopen-2020-042989 |
work_keys_str_mv | AT zelisnoortje valueofbiomarkersinpredictingmortalityinoldermedicalemergencydepartmentpatientsadutchprospectivestudy AT hundscheidrobin valueofbiomarkersinpredictingmortalityinoldermedicalemergencydepartmentpatientsadutchprospectivestudy AT buijsjacqueline valueofbiomarkersinpredictingmortalityinoldermedicalemergencydepartmentpatientsadutchprospectivestudy AT deleeuwpeterw valueofbiomarkersinpredictingmortalityinoldermedicalemergencydepartmentpatientsadutchprospectivestudy AT raijmakersmaartentm valueofbiomarkersinpredictingmortalityinoldermedicalemergencydepartmentpatientsadutchprospectivestudy AT vankuijksandermj valueofbiomarkersinpredictingmortalityinoldermedicalemergencydepartmentpatientsadutchprospectivestudy AT stassenpatriciam valueofbiomarkersinpredictingmortalityinoldermedicalemergencydepartmentpatientsadutchprospectivestudy |