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Development of a simple prediction model for adrenal crisis diagnosis
To develop a prediction model for adrenal crisis (AC) diagnosis among individuals with adrenal insufficiency that relies on the values of routinely measured clinical parameters, for application in standard clinical practice. We retrospectively analysed data from five referral centres in Japan. Multi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7421495/ https://www.ncbi.nlm.nih.gov/pubmed/32782279 http://dx.doi.org/10.1038/s41598-020-70466-4 |
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author | Katabami, Takuyuki Tsukiyama, Hidekazu Tanabe, Makito Matsuba, Ren Murakami, Mariko Nishine, Ami Shimizu, Sachi Sakai, Kensuke Tanaka, Yasushi Yanase, Toshihiko |
author_facet | Katabami, Takuyuki Tsukiyama, Hidekazu Tanabe, Makito Matsuba, Ren Murakami, Mariko Nishine, Ami Shimizu, Sachi Sakai, Kensuke Tanaka, Yasushi Yanase, Toshihiko |
author_sort | Katabami, Takuyuki |
collection | PubMed |
description | To develop a prediction model for adrenal crisis (AC) diagnosis among individuals with adrenal insufficiency that relies on the values of routinely measured clinical parameters, for application in standard clinical practice. We retrospectively analysed data from five referral centres in Japan. Multivariate binary logistic regression was used to identify independent predictors of AC, and receiver operating characteristic curve analysis was used to determine their optimal cut-off points. The analysis included data from 54 patients with 90 AC events. Logistic regression revealed that serum sodium and C-reactive protein (CRP) levels were independent predictors of AC. Serum sodium levels < 137 mEq/L had a sensitivity of 71.1% and specificity of 95.6%. CRP levels > 1.3 mg/dL had a sensitivity of 84.4% and specificity of 94.9%. In combination, serum sodium levels < 137 mEq/L or CRP levels > 1.3 mg/dL for AC diagnosis had sensitivity and specificity values of 97.8% and 94.4%, respectively. The combined use of serum sodium and CRP levels had high sensitivity and specificity, and can be used for AC screening in standard clinical practice. The model can assist in identifying AC among high-risk individuals. A larger prospective study is needed to validate these results. |
format | Online Article Text |
id | pubmed-7421495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74214952020-08-13 Development of a simple prediction model for adrenal crisis diagnosis Katabami, Takuyuki Tsukiyama, Hidekazu Tanabe, Makito Matsuba, Ren Murakami, Mariko Nishine, Ami Shimizu, Sachi Sakai, Kensuke Tanaka, Yasushi Yanase, Toshihiko Sci Rep Article To develop a prediction model for adrenal crisis (AC) diagnosis among individuals with adrenal insufficiency that relies on the values of routinely measured clinical parameters, for application in standard clinical practice. We retrospectively analysed data from five referral centres in Japan. Multivariate binary logistic regression was used to identify independent predictors of AC, and receiver operating characteristic curve analysis was used to determine their optimal cut-off points. The analysis included data from 54 patients with 90 AC events. Logistic regression revealed that serum sodium and C-reactive protein (CRP) levels were independent predictors of AC. Serum sodium levels < 137 mEq/L had a sensitivity of 71.1% and specificity of 95.6%. CRP levels > 1.3 mg/dL had a sensitivity of 84.4% and specificity of 94.9%. In combination, serum sodium levels < 137 mEq/L or CRP levels > 1.3 mg/dL for AC diagnosis had sensitivity and specificity values of 97.8% and 94.4%, respectively. The combined use of serum sodium and CRP levels had high sensitivity and specificity, and can be used for AC screening in standard clinical practice. The model can assist in identifying AC among high-risk individuals. A larger prospective study is needed to validate these results. Nature Publishing Group UK 2020-08-11 /pmc/articles/PMC7421495/ /pubmed/32782279 http://dx.doi.org/10.1038/s41598-020-70466-4 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Katabami, Takuyuki Tsukiyama, Hidekazu Tanabe, Makito Matsuba, Ren Murakami, Mariko Nishine, Ami Shimizu, Sachi Sakai, Kensuke Tanaka, Yasushi Yanase, Toshihiko Development of a simple prediction model for adrenal crisis diagnosis |
title | Development of a simple prediction model for adrenal crisis diagnosis |
title_full | Development of a simple prediction model for adrenal crisis diagnosis |
title_fullStr | Development of a simple prediction model for adrenal crisis diagnosis |
title_full_unstemmed | Development of a simple prediction model for adrenal crisis diagnosis |
title_short | Development of a simple prediction model for adrenal crisis diagnosis |
title_sort | development of a simple prediction model for adrenal crisis diagnosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7421495/ https://www.ncbi.nlm.nih.gov/pubmed/32782279 http://dx.doi.org/10.1038/s41598-020-70466-4 |
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