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Identification of Risk Factors for Daptomycin-Associated Creatine Phosphokinase Elevation and Development of a Risk Prediction Model for Incidence Probability
BACKGROUND: In this study, we investigated the risk factors for daptomycin-associated creatine phosphokinase (CPK) elevation and established a risk score for CPK elevation. METHODS: Patients who received daptomycin at our hospital were classified into the non-elevated or elevated CPK group based on...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651170/ https://www.ncbi.nlm.nih.gov/pubmed/34888403 http://dx.doi.org/10.1093/ofid/ofab568 |
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author | Samura, Masaru Hirose, Naoki Kurata, Takenori Takada, Keisuke Nagumo, Fumio Koshioka, Sakura Ishii, Junichi Uchida, Masaki Inoue, Junki Enoki, Yuki Taguchi, Kazuaki Higashita, Ryuji Kunika, Norifumi Tanikawa, Koji Matsumoto, Kazuaki |
author_facet | Samura, Masaru Hirose, Naoki Kurata, Takenori Takada, Keisuke Nagumo, Fumio Koshioka, Sakura Ishii, Junichi Uchida, Masaki Inoue, Junki Enoki, Yuki Taguchi, Kazuaki Higashita, Ryuji Kunika, Norifumi Tanikawa, Koji Matsumoto, Kazuaki |
author_sort | Samura, Masaru |
collection | PubMed |
description | BACKGROUND: In this study, we investigated the risk factors for daptomycin-associated creatine phosphokinase (CPK) elevation and established a risk score for CPK elevation. METHODS: Patients who received daptomycin at our hospital were classified into the non-elevated or elevated CPK group based on their peak CPK levels during daptomycin therapy. Univariable and multivariable analyses were performed, and a risk score and prediction model for the incidence probability of CPK elevation were calculated based on logistic regression analysis. RESULTS: The non-elevated and elevated CPK groups included 181 and 17 patients, respectively. Logistic regression analysis revealed that concomitant statin use (odds ratio [OR], 4.45 [95% confidence interval {CI}, 1.40–14.47]; risk score 4), concomitant antihistamine use (OR, 5.66 [95% CI, 1.58–20.75]; risk score 4), and trough concentration (C(min)) between 20 and <30 µg/mL (OR, 14.48 [95% CI, 2.90–87.13]; risk score 5) and ≥30.0 µg/mL (OR, 24.64 [95% CI, 3.21–204.53]; risk score 5) were risk factors for daptomycin-associated CPK elevation. The predicted incidence probabilities of CPK elevation were <10% (low risk), 10%–<25% (moderate risk), and ≥25% (high risk) with total risk scores of ≤4, 5–6, and ≥8, respectively. The risk prediction model exhibited a good fit (area under the receiver operating characteristic curve, 0.85 [95% CI, .74–.95]). CONCLUSIONS: These results suggested that concomitant use of statins with antihistamines and C(min) ≥20 µg/mL were risk factors for daptomycin-associated CPK elevation. Our prediction model might aid in reducing the incidence of daptomycin-associated CPK elevation. |
format | Online Article Text |
id | pubmed-8651170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86511702021-12-08 Identification of Risk Factors for Daptomycin-Associated Creatine Phosphokinase Elevation and Development of a Risk Prediction Model for Incidence Probability Samura, Masaru Hirose, Naoki Kurata, Takenori Takada, Keisuke Nagumo, Fumio Koshioka, Sakura Ishii, Junichi Uchida, Masaki Inoue, Junki Enoki, Yuki Taguchi, Kazuaki Higashita, Ryuji Kunika, Norifumi Tanikawa, Koji Matsumoto, Kazuaki Open Forum Infect Dis Major Articles BACKGROUND: In this study, we investigated the risk factors for daptomycin-associated creatine phosphokinase (CPK) elevation and established a risk score for CPK elevation. METHODS: Patients who received daptomycin at our hospital were classified into the non-elevated or elevated CPK group based on their peak CPK levels during daptomycin therapy. Univariable and multivariable analyses were performed, and a risk score and prediction model for the incidence probability of CPK elevation were calculated based on logistic regression analysis. RESULTS: The non-elevated and elevated CPK groups included 181 and 17 patients, respectively. Logistic regression analysis revealed that concomitant statin use (odds ratio [OR], 4.45 [95% confidence interval {CI}, 1.40–14.47]; risk score 4), concomitant antihistamine use (OR, 5.66 [95% CI, 1.58–20.75]; risk score 4), and trough concentration (C(min)) between 20 and <30 µg/mL (OR, 14.48 [95% CI, 2.90–87.13]; risk score 5) and ≥30.0 µg/mL (OR, 24.64 [95% CI, 3.21–204.53]; risk score 5) were risk factors for daptomycin-associated CPK elevation. The predicted incidence probabilities of CPK elevation were <10% (low risk), 10%–<25% (moderate risk), and ≥25% (high risk) with total risk scores of ≤4, 5–6, and ≥8, respectively. The risk prediction model exhibited a good fit (area under the receiver operating characteristic curve, 0.85 [95% CI, .74–.95]). CONCLUSIONS: These results suggested that concomitant use of statins with antihistamines and C(min) ≥20 µg/mL were risk factors for daptomycin-associated CPK elevation. Our prediction model might aid in reducing the incidence of daptomycin-associated CPK elevation. Oxford University Press 2021-11-10 /pmc/articles/PMC8651170/ /pubmed/34888403 http://dx.doi.org/10.1093/ofid/ofab568 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Major Articles Samura, Masaru Hirose, Naoki Kurata, Takenori Takada, Keisuke Nagumo, Fumio Koshioka, Sakura Ishii, Junichi Uchida, Masaki Inoue, Junki Enoki, Yuki Taguchi, Kazuaki Higashita, Ryuji Kunika, Norifumi Tanikawa, Koji Matsumoto, Kazuaki Identification of Risk Factors for Daptomycin-Associated Creatine Phosphokinase Elevation and Development of a Risk Prediction Model for Incidence Probability |
title | Identification of Risk Factors for Daptomycin-Associated Creatine Phosphokinase Elevation and Development of a Risk Prediction Model for Incidence Probability |
title_full | Identification of Risk Factors for Daptomycin-Associated Creatine Phosphokinase Elevation and Development of a Risk Prediction Model for Incidence Probability |
title_fullStr | Identification of Risk Factors for Daptomycin-Associated Creatine Phosphokinase Elevation and Development of a Risk Prediction Model for Incidence Probability |
title_full_unstemmed | Identification of Risk Factors for Daptomycin-Associated Creatine Phosphokinase Elevation and Development of a Risk Prediction Model for Incidence Probability |
title_short | Identification of Risk Factors for Daptomycin-Associated Creatine Phosphokinase Elevation and Development of a Risk Prediction Model for Incidence Probability |
title_sort | identification of risk factors for daptomycin-associated creatine phosphokinase elevation and development of a risk prediction model for incidence probability |
topic | Major Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651170/ https://www.ncbi.nlm.nih.gov/pubmed/34888403 http://dx.doi.org/10.1093/ofid/ofab568 |
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