Evaluation of Dundee and ALT-70 predictive models for cellulitis in 56 patients who underwent tissue culture
Author:
Funder
National Center for Advancing Translational Sciences
Publisher
Springer Science and Business Media LLC
Subject
Dermatology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00403-022-02409-0.pdf
Reference10 articles.
1. Zhang M, Markova A, Harp J, Dusza S, Rosenbach M, Kaffenberger BH (2019) Dermatology-specific and all-cause 30-day and calendar-year readmissions and costs for dermatologic diseases from 2010 to 2014. J Am Acad Dermatol 81(3):740–748. https://doi.org/10.1016/j.jaad.2019.05.023
2. Gupta P, Tolliver S, Zhang M, Schumacher E, Kaffenberger BH (2020) Impact of dermatology and teledermatology consultations for patients admitted with cellulitis: a pilot study. J Am Acad Dermatol 82(2):513–515. https://doi.org/10.1016/j.jaad.2019.09.022
3. Raff AB, Weng QY, Cohen JM et al (2017) A predictive model for diagnosis of lower extremity cellulitis: A cross-sectional study. J Am Acad Dermatol. 76(4):618-625.e2. https://doi.org/10.1016/j.jaad.2016.12.044
4. Marwick C, Broomhall J, McCowan C et al (2011) Severity assessment of skin and soft tissue infections: cohort study of management and outcomes for hospitalized patients. J Antimicrob Chemother 66(2):387–397. https://doi.org/10.1093/jac/dkq362
5. Johnson KE, Kiyatkin DE, An AT, Riedel S, Melendez J, Zenilman JM (2012) PCR offers no advantage over culture for microbiologic diagnosis in cellulitis. Infection. 40(5):537–541. https://doi.org/10.1007/s15010-012-0289-7
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