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ColistinDose, a Mobile App for Determining Intravenous Dosage Regimens of Colistimethate in Critically Ill Adult Patients: Clinician-Centered Design and Development Study

BACKGROUND: Determining a suitable dose of intravenous colistimethate is challenging because of complicated pharmacokinetics, confusing terminology, and the potential for renal toxicity. Only recently have reliable pharmacokinetic/pharmacodynamic data and dosing recommendations for intravenous colis...

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Autores principales: Hua, Xueliang, Li, Chen, Pogue, Jason M, Sharma, Varun S, Karaiskos, Ilias, Kaye, Keith S, Tsuji, Brian T, Bergen, Phillip J, Zhu, Yan, Song, Jiangning, Li, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7748388/
https://www.ncbi.nlm.nih.gov/pubmed/33325835
http://dx.doi.org/10.2196/20525
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author Hua, Xueliang
Li, Chen
Pogue, Jason M
Sharma, Varun S
Karaiskos, Ilias
Kaye, Keith S
Tsuji, Brian T
Bergen, Phillip J
Zhu, Yan
Song, Jiangning
Li, Jian
author_facet Hua, Xueliang
Li, Chen
Pogue, Jason M
Sharma, Varun S
Karaiskos, Ilias
Kaye, Keith S
Tsuji, Brian T
Bergen, Phillip J
Zhu, Yan
Song, Jiangning
Li, Jian
author_sort Hua, Xueliang
collection PubMed
description BACKGROUND: Determining a suitable dose of intravenous colistimethate is challenging because of complicated pharmacokinetics, confusing terminology, and the potential for renal toxicity. Only recently have reliable pharmacokinetic/pharmacodynamic data and dosing recommendations for intravenous colistimethate become available. OBJECTIVE: The aim of this work was to develop a clinician-friendly, easy-to-use mobile app incorporating up-to-date dosing recommendations for intravenous colistimethate in critically ill adult patients. METHODS: Swift programming language and common libraries were used for the development of an app, ColistinDose, on the iPhone operating system (iOS; Apple Inc). The compatibility among different iOS versions and mobile devices was validated. Dosing calculations were based on equations developed in our recent population pharmacokinetic study. Recommended doses generated by the app were validated by comparison against doses calculated manually using the appropriate equations. RESULTS: ColistinDose provides 3 major functionalities, namely (1) calculation of a loading dose, (2) calculation of a daily dose based on the renal function of the patient (including differing types of renal replacement therapies), and (3) retrieval of historical calculation results. It is freely available at the Apple App Store for iOS (version 9 and above). Calculated doses accurately reflected doses recommended in patients with varying degrees of renal function based on the published equations. ColistinDose performs calculations on a local mobile device (iPhone or iPad) without the need for an internet connection. CONCLUSIONS: With its user-friendly interface, ColistinDose provides an accurate and easy-to-use tool for clinicians to calculate dosage regimens of intravenous colistimethate in critically ill patients with varying degrees of renal function. It has significant potential to avoid the prescribing errors and patient safety issues that currently confound the clinical use of colistimethate, thereby optimizing patient treatment.
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spelling pubmed-77483882020-12-30 ColistinDose, a Mobile App for Determining Intravenous Dosage Regimens of Colistimethate in Critically Ill Adult Patients: Clinician-Centered Design and Development Study Hua, Xueliang Li, Chen Pogue, Jason M Sharma, Varun S Karaiskos, Ilias Kaye, Keith S Tsuji, Brian T Bergen, Phillip J Zhu, Yan Song, Jiangning Li, Jian JMIR Mhealth Uhealth Original Paper BACKGROUND: Determining a suitable dose of intravenous colistimethate is challenging because of complicated pharmacokinetics, confusing terminology, and the potential for renal toxicity. Only recently have reliable pharmacokinetic/pharmacodynamic data and dosing recommendations for intravenous colistimethate become available. OBJECTIVE: The aim of this work was to develop a clinician-friendly, easy-to-use mobile app incorporating up-to-date dosing recommendations for intravenous colistimethate in critically ill adult patients. METHODS: Swift programming language and common libraries were used for the development of an app, ColistinDose, on the iPhone operating system (iOS; Apple Inc). The compatibility among different iOS versions and mobile devices was validated. Dosing calculations were based on equations developed in our recent population pharmacokinetic study. Recommended doses generated by the app were validated by comparison against doses calculated manually using the appropriate equations. RESULTS: ColistinDose provides 3 major functionalities, namely (1) calculation of a loading dose, (2) calculation of a daily dose based on the renal function of the patient (including differing types of renal replacement therapies), and (3) retrieval of historical calculation results. It is freely available at the Apple App Store for iOS (version 9 and above). Calculated doses accurately reflected doses recommended in patients with varying degrees of renal function based on the published equations. ColistinDose performs calculations on a local mobile device (iPhone or iPad) without the need for an internet connection. CONCLUSIONS: With its user-friendly interface, ColistinDose provides an accurate and easy-to-use tool for clinicians to calculate dosage regimens of intravenous colistimethate in critically ill patients with varying degrees of renal function. It has significant potential to avoid the prescribing errors and patient safety issues that currently confound the clinical use of colistimethate, thereby optimizing patient treatment. JMIR Publications 2020-12-16 /pmc/articles/PMC7748388/ /pubmed/33325835 http://dx.doi.org/10.2196/20525 Text en ©Xueliang Hua, Chen Li, Jason M Pogue, Varun S Sharma, Ilias Karaiskos, Keith S Kaye, Brian T Tsuji, Phillip J Bergen, Yan Zhu, Jiangning Song, Jian Li. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 16.12.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Hua, Xueliang
Li, Chen
Pogue, Jason M
Sharma, Varun S
Karaiskos, Ilias
Kaye, Keith S
Tsuji, Brian T
Bergen, Phillip J
Zhu, Yan
Song, Jiangning
Li, Jian
ColistinDose, a Mobile App for Determining Intravenous Dosage Regimens of Colistimethate in Critically Ill Adult Patients: Clinician-Centered Design and Development Study
title ColistinDose, a Mobile App for Determining Intravenous Dosage Regimens of Colistimethate in Critically Ill Adult Patients: Clinician-Centered Design and Development Study
title_full ColistinDose, a Mobile App for Determining Intravenous Dosage Regimens of Colistimethate in Critically Ill Adult Patients: Clinician-Centered Design and Development Study
title_fullStr ColistinDose, a Mobile App for Determining Intravenous Dosage Regimens of Colistimethate in Critically Ill Adult Patients: Clinician-Centered Design and Development Study
title_full_unstemmed ColistinDose, a Mobile App for Determining Intravenous Dosage Regimens of Colistimethate in Critically Ill Adult Patients: Clinician-Centered Design and Development Study
title_short ColistinDose, a Mobile App for Determining Intravenous Dosage Regimens of Colistimethate in Critically Ill Adult Patients: Clinician-Centered Design and Development Study
title_sort colistindose, a mobile app for determining intravenous dosage regimens of colistimethate in critically ill adult patients: clinician-centered design and development study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7748388/
https://www.ncbi.nlm.nih.gov/pubmed/33325835
http://dx.doi.org/10.2196/20525
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