Cargando…
Correlation of the Critical Care Pain Observation Tool and Numeric Rating Scale in Intensive Care Unit Patients
PURPOSE: We sought to determine the correlation between the Numeric Rating Scale (NRS) and Critical-Care Pain Observation Tool (CPOT) to determine whether clinical factors modified the relationship between NRS and CPOT assessments. MATERIALS AND METHODS: We included nonventilated adults admitted to...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666505/ https://www.ncbi.nlm.nih.gov/pubmed/37455408 http://dx.doi.org/10.1177/08850666231187336 |
_version_ | 1785148965961859072 |
---|---|
author | Stollings, Joanna L Rumbaugh, Kelli A Wang, Li Hayhurst, Christina J Ely, E Wesley Hughes, Christopher G |
author_facet | Stollings, Joanna L Rumbaugh, Kelli A Wang, Li Hayhurst, Christina J Ely, E Wesley Hughes, Christopher G |
author_sort | Stollings, Joanna L |
collection | PubMed |
description | PURPOSE: We sought to determine the correlation between the Numeric Rating Scale (NRS) and Critical-Care Pain Observation Tool (CPOT) to determine whether clinical factors modified the relationship between NRS and CPOT assessments. MATERIALS AND METHODS: We included nonventilated adults admitted to the MICU or SICU who could self-report pain and had at least 3 paired NRS and CPOT assessments. We performed Spearman correlation to assess overall correlation and performed proportional odds logistic regression to evaluate whether the relationship between NRS and CPOT assessments was modified by clinical factors. RESULTS: Nursing staff performed NRS and CPOT assessments every 4 h in 1302 patients, leading to 61,142 matched assessments. We found that the NRS and CPOT have a Spearman correlation coefficient of 0.56 and an intraclass correlation coefficient of 0.32 in intensive care unit patients. Factors that modified the relationship between the NRS and CPOT included the presence of delirium (P < .001) and lower mean daily Richmond Agitation Sedation Scale (<0.001). CONCLUSIONS: The correlation coefficient between the NRS and the CPOT was found to be 0.56. The presence of delirium, decreased level of arousal, modified the relationship between the NRS and CPOT. Self-reported and behavioral pain assessments cannot be used interchangeably in critically ill adults. |
format | Online Article Text |
id | pubmed-10666505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-106665052023-11-23 Correlation of the Critical Care Pain Observation Tool and Numeric Rating Scale in Intensive Care Unit Patients Stollings, Joanna L Rumbaugh, Kelli A Wang, Li Hayhurst, Christina J Ely, E Wesley Hughes, Christopher G J Intensive Care Med Original Research PURPOSE: We sought to determine the correlation between the Numeric Rating Scale (NRS) and Critical-Care Pain Observation Tool (CPOT) to determine whether clinical factors modified the relationship between NRS and CPOT assessments. MATERIALS AND METHODS: We included nonventilated adults admitted to the MICU or SICU who could self-report pain and had at least 3 paired NRS and CPOT assessments. We performed Spearman correlation to assess overall correlation and performed proportional odds logistic regression to evaluate whether the relationship between NRS and CPOT assessments was modified by clinical factors. RESULTS: Nursing staff performed NRS and CPOT assessments every 4 h in 1302 patients, leading to 61,142 matched assessments. We found that the NRS and CPOT have a Spearman correlation coefficient of 0.56 and an intraclass correlation coefficient of 0.32 in intensive care unit patients. Factors that modified the relationship between the NRS and CPOT included the presence of delirium (P < .001) and lower mean daily Richmond Agitation Sedation Scale (<0.001). CONCLUSIONS: The correlation coefficient between the NRS and the CPOT was found to be 0.56. The presence of delirium, decreased level of arousal, modified the relationship between the NRS and CPOT. Self-reported and behavioral pain assessments cannot be used interchangeably in critically ill adults. SAGE Publications 2023-07-16 2024-01 /pmc/articles/PMC10666505/ /pubmed/37455408 http://dx.doi.org/10.1177/08850666231187336 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Stollings, Joanna L Rumbaugh, Kelli A Wang, Li Hayhurst, Christina J Ely, E Wesley Hughes, Christopher G Correlation of the Critical Care Pain Observation Tool and Numeric Rating Scale in Intensive Care Unit Patients |
title | Correlation of the Critical Care Pain Observation Tool and Numeric Rating Scale in Intensive Care Unit Patients |
title_full | Correlation of the Critical Care Pain Observation Tool and Numeric Rating Scale in Intensive Care Unit Patients |
title_fullStr | Correlation of the Critical Care Pain Observation Tool and Numeric Rating Scale in Intensive Care Unit Patients |
title_full_unstemmed | Correlation of the Critical Care Pain Observation Tool and Numeric Rating Scale in Intensive Care Unit Patients |
title_short | Correlation of the Critical Care Pain Observation Tool and Numeric Rating Scale in Intensive Care Unit Patients |
title_sort | correlation of the critical care pain observation tool and numeric rating scale in intensive care unit patients |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666505/ https://www.ncbi.nlm.nih.gov/pubmed/37455408 http://dx.doi.org/10.1177/08850666231187336 |
work_keys_str_mv | AT stollingsjoannal correlationofthecriticalcarepainobservationtoolandnumericratingscaleinintensivecareunitpatients AT rumbaughkellia correlationofthecriticalcarepainobservationtoolandnumericratingscaleinintensivecareunitpatients AT wangli correlationofthecriticalcarepainobservationtoolandnumericratingscaleinintensivecareunitpatients AT hayhurstchristinaj correlationofthecriticalcarepainobservationtoolandnumericratingscaleinintensivecareunitpatients AT elyewesley correlationofthecriticalcarepainobservationtoolandnumericratingscaleinintensivecareunitpatients AT hugheschristopherg correlationofthecriticalcarepainobservationtoolandnumericratingscaleinintensivecareunitpatients |