Cargando…
Derivation and validation of modified early warning score plus SpO(2)/FiO(2) score for predicting acute deterioration of patients with hematological malignancies
BACKGROUND/AIMS: Scoring systems play an important role in predicting intensive care unit (ICU) admission or estimating the risk of death in critically ill patients with hematological malignancies. We evaluated the modified early warning score (MEWS) for predicting ICU admissions and in-hospital mor...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Association of Internal Medicine
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652654/ https://www.ncbi.nlm.nih.gov/pubmed/32114753 http://dx.doi.org/10.3904/kjim.2018.438 |
_version_ | 1783607735261069312 |
---|---|
author | Lee, Ju-Ry Jung, Youn-Kyoung Kim, Hwa Jung Koh, Younsuck Lim, Chae-Man Hong, Sang-Bum Huh, Jin Won |
author_facet | Lee, Ju-Ry Jung, Youn-Kyoung Kim, Hwa Jung Koh, Younsuck Lim, Chae-Man Hong, Sang-Bum Huh, Jin Won |
author_sort | Lee, Ju-Ry |
collection | PubMed |
description | BACKGROUND/AIMS: Scoring systems play an important role in predicting intensive care unit (ICU) admission or estimating the risk of death in critically ill patients with hematological malignancies. We evaluated the modified early warning score (MEWS) for predicting ICU admissions and in-hospital mortality among at-risk patients with hematological malignancies and developed an optimized MEWS. METHODS: We retrospectively analyzed derivation cohort patients with hematological malignancies who were managed by a medical emergency team (MET) in the general ward and prospectively validated the data. We compared the traditional MEWS with the MEWS plus SpO(2)/FiO(2) (MEWS_SF) score, which were calculated at the time of MET contact. RESULTS: In the derivation cohort, the areas under the receiver-operating characteristic (AUROC) curves were 0.81 for the MEWS (95% confidence interval [CI], 0.76 to 0.87) and 0.87 for the MEWS_SF score (95% CI, 0.87 to 0.92) for predicting ICU admission. The AUROC curves were 0.70 for the MEWS (95% CI, 0.63 to 0.77) and 0.76 for the MEWS_SF score (95% CI, 0.70 to 0.83) for predicting in-hospital mortality. In the validation cohort, the AUROC curves were 0.71 for the MEWS (95% CI, 0.66 to 0.77) and 0.83 for the MEWS_SF score (95% CI, 0.78 to 0.87) for predicting ICU admission. The AUROC curves were 0.64 for the MEWS (95% CI, 0.57 to 0.70) and 0.74 for the MEWS_SF score (95% CI, 0.69 to 0.80) for predicting in-hospital mortality. CONCLUSIONS: Compared to the traditional MEWS, the MEWS_SF score may be a useful tool that can be used in the general ward to identify deteriorating patients with hematological malignancies. |
format | Online Article Text |
id | pubmed-7652654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Korean Association of Internal Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-76526542020-11-18 Derivation and validation of modified early warning score plus SpO(2)/FiO(2) score for predicting acute deterioration of patients with hematological malignancies Lee, Ju-Ry Jung, Youn-Kyoung Kim, Hwa Jung Koh, Younsuck Lim, Chae-Man Hong, Sang-Bum Huh, Jin Won Korean J Intern Med Original Article BACKGROUND/AIMS: Scoring systems play an important role in predicting intensive care unit (ICU) admission or estimating the risk of death in critically ill patients with hematological malignancies. We evaluated the modified early warning score (MEWS) for predicting ICU admissions and in-hospital mortality among at-risk patients with hematological malignancies and developed an optimized MEWS. METHODS: We retrospectively analyzed derivation cohort patients with hematological malignancies who were managed by a medical emergency team (MET) in the general ward and prospectively validated the data. We compared the traditional MEWS with the MEWS plus SpO(2)/FiO(2) (MEWS_SF) score, which were calculated at the time of MET contact. RESULTS: In the derivation cohort, the areas under the receiver-operating characteristic (AUROC) curves were 0.81 for the MEWS (95% confidence interval [CI], 0.76 to 0.87) and 0.87 for the MEWS_SF score (95% CI, 0.87 to 0.92) for predicting ICU admission. The AUROC curves were 0.70 for the MEWS (95% CI, 0.63 to 0.77) and 0.76 for the MEWS_SF score (95% CI, 0.70 to 0.83) for predicting in-hospital mortality. In the validation cohort, the AUROC curves were 0.71 for the MEWS (95% CI, 0.66 to 0.77) and 0.83 for the MEWS_SF score (95% CI, 0.78 to 0.87) for predicting ICU admission. The AUROC curves were 0.64 for the MEWS (95% CI, 0.57 to 0.70) and 0.74 for the MEWS_SF score (95% CI, 0.69 to 0.80) for predicting in-hospital mortality. CONCLUSIONS: Compared to the traditional MEWS, the MEWS_SF score may be a useful tool that can be used in the general ward to identify deteriorating patients with hematological malignancies. The Korean Association of Internal Medicine 2020-11 2020-03-03 /pmc/articles/PMC7652654/ /pubmed/32114753 http://dx.doi.org/10.3904/kjim.2018.438 Text en Copyright © 2020 The Korean Association of Internal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Lee, Ju-Ry Jung, Youn-Kyoung Kim, Hwa Jung Koh, Younsuck Lim, Chae-Man Hong, Sang-Bum Huh, Jin Won Derivation and validation of modified early warning score plus SpO(2)/FiO(2) score for predicting acute deterioration of patients with hematological malignancies |
title | Derivation and validation of modified early warning score plus SpO(2)/FiO(2) score for predicting acute deterioration of patients with hematological malignancies |
title_full | Derivation and validation of modified early warning score plus SpO(2)/FiO(2) score for predicting acute deterioration of patients with hematological malignancies |
title_fullStr | Derivation and validation of modified early warning score plus SpO(2)/FiO(2) score for predicting acute deterioration of patients with hematological malignancies |
title_full_unstemmed | Derivation and validation of modified early warning score plus SpO(2)/FiO(2) score for predicting acute deterioration of patients with hematological malignancies |
title_short | Derivation and validation of modified early warning score plus SpO(2)/FiO(2) score for predicting acute deterioration of patients with hematological malignancies |
title_sort | derivation and validation of modified early warning score plus spo(2)/fio(2) score for predicting acute deterioration of patients with hematological malignancies |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652654/ https://www.ncbi.nlm.nih.gov/pubmed/32114753 http://dx.doi.org/10.3904/kjim.2018.438 |
work_keys_str_mv | AT leejury derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies AT jungyounkyoung derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies AT kimhwajung derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies AT kohyounsuck derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies AT limchaeman derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies AT hongsangbum derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies AT huhjinwon derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies |