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Comparing Continuous with Periodic Vital Sign Scoring for Clinical Deterioration Using a Patient Data Model
To evaluate a minute-by-minute monitoring algorithm against a periodic early warning score (EWS) in detecting clinical deterioration and workload. Periodic EWSs suffer from large measurement intervals, causing late detection of deterioration. This might be prevented by continuous vital sign monitori...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167173/ https://www.ncbi.nlm.nih.gov/pubmed/37154986 http://dx.doi.org/10.1007/s10916-023-01954-z |
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author | Peelen, Roel V. Eddahchouri, Yassin Koeneman, Mats Melis, René van Goor, Harry Bredie, Sebastian J. H. |
author_facet | Peelen, Roel V. Eddahchouri, Yassin Koeneman, Mats Melis, René van Goor, Harry Bredie, Sebastian J. H. |
author_sort | Peelen, Roel V. |
collection | PubMed |
description | To evaluate a minute-by-minute monitoring algorithm against a periodic early warning score (EWS) in detecting clinical deterioration and workload. Periodic EWSs suffer from large measurement intervals, causing late detection of deterioration. This might be prevented by continuous vital sign monitoring with a real-time algorithm such as the Visensia Safety Index (VSI). This prospective comparative data modeling cohort study (NCT04189653) compares continuous algorithmic alerts against periodic EWS in continuous monitored medical and surgical inpatients. We evaluated sensitivity, frequency, number of warnings needed to evaluate (NNE) and time of initial alert till escalation of care (EOC): Rapid Response Team activation, unplanned ICU admission, emergency surgery, or death. Also, the percentage of VSI alerting minutes was compared between patients with or without EOC. In 1529 admissions continuous VSI warned for 55% of EOC (95% CI: 45-64%) versus 51% (95% CI: 41-61%) by periodic EWS. NNE for VSI was 152 alerts per detected EOC (95% CI: 114-190) compared to 21 (95% CI: 17-28). It generated 0.99 warnings per day per patient compared to 0.13. Time from detection score till escalation was 8.3 hours (IQR: 2.6-24.8) with VSI versus 5.2 (IQR: 2.7-12.3) hours with EWS (P=0.074). The percentage of warning VSI minutes was higher in patients with EOC than in stable patients (2.36% vs 0.81%, P<0.001). Although sensitivity of detection was not significantly improved continuous vital sign monitoring shows potential for earlier alerts for deterioration compared to periodic EWS. A higher percentage of alerting minutes may indicate risk for deterioration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10916-023-01954-z. |
format | Online Article Text |
id | pubmed-10167173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-101671732023-05-10 Comparing Continuous with Periodic Vital Sign Scoring for Clinical Deterioration Using a Patient Data Model Peelen, Roel V. Eddahchouri, Yassin Koeneman, Mats Melis, René van Goor, Harry Bredie, Sebastian J. H. J Med Syst Original Paper To evaluate a minute-by-minute monitoring algorithm against a periodic early warning score (EWS) in detecting clinical deterioration and workload. Periodic EWSs suffer from large measurement intervals, causing late detection of deterioration. This might be prevented by continuous vital sign monitoring with a real-time algorithm such as the Visensia Safety Index (VSI). This prospective comparative data modeling cohort study (NCT04189653) compares continuous algorithmic alerts against periodic EWS in continuous monitored medical and surgical inpatients. We evaluated sensitivity, frequency, number of warnings needed to evaluate (NNE) and time of initial alert till escalation of care (EOC): Rapid Response Team activation, unplanned ICU admission, emergency surgery, or death. Also, the percentage of VSI alerting minutes was compared between patients with or without EOC. In 1529 admissions continuous VSI warned for 55% of EOC (95% CI: 45-64%) versus 51% (95% CI: 41-61%) by periodic EWS. NNE for VSI was 152 alerts per detected EOC (95% CI: 114-190) compared to 21 (95% CI: 17-28). It generated 0.99 warnings per day per patient compared to 0.13. Time from detection score till escalation was 8.3 hours (IQR: 2.6-24.8) with VSI versus 5.2 (IQR: 2.7-12.3) hours with EWS (P=0.074). The percentage of warning VSI minutes was higher in patients with EOC than in stable patients (2.36% vs 0.81%, P<0.001). Although sensitivity of detection was not significantly improved continuous vital sign monitoring shows potential for earlier alerts for deterioration compared to periodic EWS. A higher percentage of alerting minutes may indicate risk for deterioration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10916-023-01954-z. Springer US 2023-05-08 2023 /pmc/articles/PMC10167173/ /pubmed/37154986 http://dx.doi.org/10.1007/s10916-023-01954-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Peelen, Roel V. Eddahchouri, Yassin Koeneman, Mats Melis, René van Goor, Harry Bredie, Sebastian J. H. Comparing Continuous with Periodic Vital Sign Scoring for Clinical Deterioration Using a Patient Data Model |
title | Comparing Continuous with Periodic Vital Sign Scoring for Clinical Deterioration Using a Patient Data Model |
title_full | Comparing Continuous with Periodic Vital Sign Scoring for Clinical Deterioration Using a Patient Data Model |
title_fullStr | Comparing Continuous with Periodic Vital Sign Scoring for Clinical Deterioration Using a Patient Data Model |
title_full_unstemmed | Comparing Continuous with Periodic Vital Sign Scoring for Clinical Deterioration Using a Patient Data Model |
title_short | Comparing Continuous with Periodic Vital Sign Scoring for Clinical Deterioration Using a Patient Data Model |
title_sort | comparing continuous with periodic vital sign scoring for clinical deterioration using a patient data model |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167173/ https://www.ncbi.nlm.nih.gov/pubmed/37154986 http://dx.doi.org/10.1007/s10916-023-01954-z |
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