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Development and validation of a screening tool for early identification of bloodstream infection in older patients – a retrospective case-control study
BACKGROUND: Delayed diagnosis of bloodstream infection (BSI) occurs in > 20% of older patients, with misdiagnosis in 35%. Our objective was to develop and validate a clinically useful screening tool to identify older patients with a high probability of having a BSI. METHODS: Hospitalized patients...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942330/ https://www.ncbi.nlm.nih.gov/pubmed/31900110 http://dx.doi.org/10.1186/s12877-019-1402-x |
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author | Walker, Sandra A. N. Bannerman, Heather Ma, Nathan Peragine, Christine Elligsen, Marion Palmay, Lesley Williams, Evelyn Liu, Barbara |
author_facet | Walker, Sandra A. N. Bannerman, Heather Ma, Nathan Peragine, Christine Elligsen, Marion Palmay, Lesley Williams, Evelyn Liu, Barbara |
author_sort | Walker, Sandra A. N. |
collection | PubMed |
description | BACKGROUND: Delayed diagnosis of bloodstream infection (BSI) occurs in > 20% of older patients, with misdiagnosis in 35%. Our objective was to develop and validate a clinically useful screening tool to identify older patients with a high probability of having a BSI. METHODS: Hospitalized patients > 80 years old with BSI (n = 105/group) were evaluated for the tool development in this retrospective matched case-controlled study (learn cohort). The tool was validated in different retrospectively matched case and control patients > 80 years old (n = 120/group) and 65 to 79 years old (n = 250/group) (test cohort). Binary logistic regression was used to develop a screening tool using laboratory and clinical parameters that were significantly associated with BSI (P < 0.05; adjusted odds ratio (OR) > 1); and Classification and Regression Tree (CART) analysis was used to identify parameter breakpoints. Performance metrics were used to evaluate and validate the tool. RESULTS: The significant parameters associated with BSI were maximum temperature (Tmax)(> 37.55C)(OR = 42.575), neutrophils (> 7.95)(OR = 1.923), a change in level of consciousness (LOC) (Yes = 1, No = 0)(OR = 1.571), blood urea nitrogen (BUN)(> 10.05)(OR = 1.359), glucose (> 7.35)(OR = 1.167), albumin (< 33.5)(OR = 1.038) and alanine aminotransferase (ALT) (> 19.5)(OR = 1.005). The optimal screening tool [Ln (odds of BSI) = − 150.299 + 3.751(Tmax) + 0.654(neutrophils) + 0.452(change in LOC) + 0.307(BUN) + 0.154(glucose) + 0.038(albumin) + 0.005(ALT)] had favorable performance metrics in the learn and test cohorts (sensitivity, specificity and accuracy of 95% in the learn cohort and 77, 89, and 81% in the total test cohort); and performed better than using only temperature and neutrophil count. CONCLUSIONS: The validated tool had high predictive value which may improve early identification and management of BSI in older patients. |
format | Online Article Text |
id | pubmed-6942330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69423302020-01-07 Development and validation of a screening tool for early identification of bloodstream infection in older patients – a retrospective case-control study Walker, Sandra A. N. Bannerman, Heather Ma, Nathan Peragine, Christine Elligsen, Marion Palmay, Lesley Williams, Evelyn Liu, Barbara BMC Geriatr Research Article BACKGROUND: Delayed diagnosis of bloodstream infection (BSI) occurs in > 20% of older patients, with misdiagnosis in 35%. Our objective was to develop and validate a clinically useful screening tool to identify older patients with a high probability of having a BSI. METHODS: Hospitalized patients > 80 years old with BSI (n = 105/group) were evaluated for the tool development in this retrospective matched case-controlled study (learn cohort). The tool was validated in different retrospectively matched case and control patients > 80 years old (n = 120/group) and 65 to 79 years old (n = 250/group) (test cohort). Binary logistic regression was used to develop a screening tool using laboratory and clinical parameters that were significantly associated with BSI (P < 0.05; adjusted odds ratio (OR) > 1); and Classification and Regression Tree (CART) analysis was used to identify parameter breakpoints. Performance metrics were used to evaluate and validate the tool. RESULTS: The significant parameters associated with BSI were maximum temperature (Tmax)(> 37.55C)(OR = 42.575), neutrophils (> 7.95)(OR = 1.923), a change in level of consciousness (LOC) (Yes = 1, No = 0)(OR = 1.571), blood urea nitrogen (BUN)(> 10.05)(OR = 1.359), glucose (> 7.35)(OR = 1.167), albumin (< 33.5)(OR = 1.038) and alanine aminotransferase (ALT) (> 19.5)(OR = 1.005). The optimal screening tool [Ln (odds of BSI) = − 150.299 + 3.751(Tmax) + 0.654(neutrophils) + 0.452(change in LOC) + 0.307(BUN) + 0.154(glucose) + 0.038(albumin) + 0.005(ALT)] had favorable performance metrics in the learn and test cohorts (sensitivity, specificity and accuracy of 95% in the learn cohort and 77, 89, and 81% in the total test cohort); and performed better than using only temperature and neutrophil count. CONCLUSIONS: The validated tool had high predictive value which may improve early identification and management of BSI in older patients. BioMed Central 2020-01-03 /pmc/articles/PMC6942330/ /pubmed/31900110 http://dx.doi.org/10.1186/s12877-019-1402-x Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Walker, Sandra A. N. Bannerman, Heather Ma, Nathan Peragine, Christine Elligsen, Marion Palmay, Lesley Williams, Evelyn Liu, Barbara Development and validation of a screening tool for early identification of bloodstream infection in older patients – a retrospective case-control study |
title | Development and validation of a screening tool for early identification of bloodstream infection in older patients – a retrospective case-control study |
title_full | Development and validation of a screening tool for early identification of bloodstream infection in older patients – a retrospective case-control study |
title_fullStr | Development and validation of a screening tool for early identification of bloodstream infection in older patients – a retrospective case-control study |
title_full_unstemmed | Development and validation of a screening tool for early identification of bloodstream infection in older patients – a retrospective case-control study |
title_short | Development and validation of a screening tool for early identification of bloodstream infection in older patients – a retrospective case-control study |
title_sort | development and validation of a screening tool for early identification of bloodstream infection in older patients – a retrospective case-control study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942330/ https://www.ncbi.nlm.nih.gov/pubmed/31900110 http://dx.doi.org/10.1186/s12877-019-1402-x |
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