Derivation and validation of modified early warning score plus SpO2/FiO2 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 mort...

Full description

Bibliographic Details
Main Authors: Ju-Ry Lee, Youn-Kyoung Jung, Hwa Jung Kim, Younsuck Koh, Chae-Man Lim, Sang-Bum Hong, Jin Won Huh
Format: Article
Language:English
Published: The Korean Association of Internal Medicine 2020-11-01
Series:The Korean Journal of Internal Medicine
Subjects:
Online Access:http://www.kjim.org/upload/pdf/kjim-2018-438.pdf
_version_ 1818649767480131584
author Ju-Ry Lee
Youn-Kyoung Jung
Hwa Jung Kim
Younsuck Koh
Chae-Man Lim
Sang-Bum Hong
Jin Won Huh
author_facet Ju-Ry Lee
Youn-Kyoung Jung
Hwa Jung Kim
Younsuck Koh
Chae-Man Lim
Sang-Bum Hong
Jin Won Huh
author_sort Ju-Ry Lee
collection DOAJ
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 SpO2/FiO2 (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.
first_indexed 2024-12-17T01:39:33Z
format Article
id doaj.art-79cd37ff0a3f4741b602ec0d2165a457
institution Directory Open Access Journal
issn 1226-3303
2005-6648
language English
last_indexed 2024-12-17T01:39:33Z
publishDate 2020-11-01
publisher The Korean Association of Internal Medicine
record_format Article
series The Korean Journal of Internal Medicine
spelling doaj.art-79cd37ff0a3f4741b602ec0d2165a4572022-12-21T22:08:21ZengThe Korean Association of Internal MedicineThe Korean Journal of Internal Medicine1226-33032005-66482020-11-013561477148810.3904/kjim.2018.438170326Derivation and validation of modified early warning score plus SpO2/FiO2 score for predicting acute deterioration of patients with hematological malignanciesJu-Ry Lee0Youn-Kyoung Jung1Hwa Jung Kim2Younsuck Koh3Chae-Man Lim4Sang-Bum Hong5Jin Won Huh6 Medical Emergency Team, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea Medical Emergency Team, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, KoreaBackground/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 SpO2/FiO2 (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.http://www.kjim.org/upload/pdf/kjim-2018-438.pdfclinical deteriorationhematologic neoplasmsmodified early warning scorepredictionspo2/fio2 ratio
spellingShingle Ju-Ry Lee
Youn-Kyoung Jung
Hwa Jung Kim
Younsuck Koh
Chae-Man Lim
Sang-Bum Hong
Jin Won Huh
Derivation and validation of modified early warning score plus SpO2/FiO2 score for predicting acute deterioration of patients with hematological malignancies
The Korean Journal of Internal Medicine
clinical deterioration
hematologic neoplasms
modified early warning score
prediction
spo2/fio2 ratio
title Derivation and validation of modified early warning score plus SpO2/FiO2 score for predicting acute deterioration of patients with hematological malignancies
title_full Derivation and validation of modified early warning score plus SpO2/FiO2 score for predicting acute deterioration of patients with hematological malignancies
title_fullStr Derivation and validation of modified early warning score plus SpO2/FiO2 score for predicting acute deterioration of patients with hematological malignancies
title_full_unstemmed Derivation and validation of modified early warning score plus SpO2/FiO2 score for predicting acute deterioration of patients with hematological malignancies
title_short Derivation and validation of modified early warning score plus SpO2/FiO2 score for predicting acute deterioration of patients with hematological malignancies
title_sort derivation and validation of modified early warning score plus spo2 fio2 score for predicting acute deterioration of patients with hematological malignancies
topic clinical deterioration
hematologic neoplasms
modified early warning score
prediction
spo2/fio2 ratio
url http://www.kjim.org/upload/pdf/kjim-2018-438.pdf
work_keys_str_mv AT jurylee derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies
AT younkyoungjung derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies
AT hwajungkim derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies
AT younsuckkoh derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies
AT chaemanlim derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies
AT sangbumhong derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies
AT jinwonhuh derivationandvalidationofmodifiedearlywarningscoreplusspo2fio2scoreforpredictingacutedeteriorationofpatientswithhematologicalmalignancies