Literature DB >> 36273340

Evaluation of Dundee and ALT-70 predictive models for cellulitis in 56 patients who underwent tissue culture.

Trent D Walker1, Ty W Gilkey1, John Christopher Trinidad2, Catherine G Chung2,3, Henry Wang2, Arash Mostaghimi4, Benjamin H Kaffenberger5,6.   

Abstract

Nonpurulent cellulitis lacks a gold standard to distinguish noninfectious sources of inflammation. Two models have been created that evaluate cellulitis. The ALT-70 model was created to reduce the overdiagnosis of cellulitis and provide clinical direction. The Dundee classification was developed to grade the severity of previously diagnosed cases of cellulitis and enhance treatment and clinical outcomes. We analyzed a dataset of 56 patients who were admitted to the OSU Wexner Medical Center with a primary admission diagnosis of cellulitis. Each patient underwent extensive tissue culture sampling to identify potential pathogens. Patients were scored using both models, then evaluated based on the positive tissue culture and skin and soft tissue infection. In both models, we found low sensitivity and specificity to predict patients with positive tissue culture cellulitis. Determination of a gold standard for classification of cellulites is important to improve future diagnosis and risk models. We recommend further study to develop a scalable consensus standard in the diagnosis of nonpurulent cellulitis.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  ALT-70; Bacterial infection; Cellulitis; Dundee classification; Skin and soft tissue infection; Tissue culture

Year:  2022        PMID: 36273340     DOI: 10.1007/s00403-022-02409-0

Source DB:  PubMed          Journal:  Arch Dermatol Res        ISSN: 0340-3696            Impact factor:   3.033


  8 in total

1.  PCR offers no advantage over culture for microbiologic diagnosis in cellulitis.

Authors:  K E Johnson; D E Kiyatkin; A T An; S Riedel; J Melendez; J M Zenilman
Journal:  Infection       Date:  2012-07-17       Impact factor: 3.553

2.  A predictive model for diagnosis of lower extremity cellulitis: A cross-sectional study.

Authors:  Adam B Raff; Qing Yu Weng; Jeffrey M Cohen; Nicole Gunasekera; Jean-Phillip Okhovat; Priyanka Vedak; Cara Joyce; Daniela Kroshinsky; Arash Mostaghimi
Journal:  J Am Acad Dermatol       Date:  2017-02-16       Impact factor: 11.527

3.  Dermatology-specific and all-cause 30-day and calendar-year readmissions and costs for dermatologic diseases from 2010 to 2014.

Authors:  Myron Zhang; Alina Markova; Joanna Harp; Stephen Dusza; Misha Rosenbach; Benjamin H Kaffenberger
Journal:  J Am Acad Dermatol       Date:  2019-05-15       Impact factor: 11.527

4.  Severe lower limb cellulitis is best diagnosed by dermatologists and managed with shared care between primary and secondary care.

Authors:  N J Levell; C G Wingfield; J J Garioch
Journal:  Br J Dermatol       Date:  2011-05-13       Impact factor: 9.302

5.  Impact of dermatology and teledermatology consultations for patients admitted with cellulitis: A pilot study.

Authors:  Preeta Gupta; Starling Tolliver; Myron Zhang; Eric Schumacher; Benjamin H Kaffenberger
Journal:  J Am Acad Dermatol       Date:  2019-09-23       Impact factor: 11.527

6.  Infectious disease hospitalizations in the United States.

Authors:  Krista L Yorita Christensen; Robert C Holman; Claudia A Steiner; James J Sejvar; Barbara J Stoll; Lawrence B Schonberger
Journal:  Clin Infect Dis       Date:  2009-10-01       Impact factor: 9.079

7.  Severity assessment of skin and soft tissue infections: cohort study of management and outcomes for hospitalized patients.

Authors:  Charis Marwick; Janice Broomhall; Colin McCowan; Gabby Phillips; Sebastian Gonzalez-McQuire; Kasem Akhras; Sanjay Merchant; Dilip Nathwani; Peter Davey
Journal:  J Antimicrob Chemother       Date:  2010-10-05       Impact factor: 5.790

  8 in total

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