Development and validation of baseline, perioperative and at-discharge predictive models for postsurgical prosthetic joint infection-Reference-Cited by-同舟云学术

Development and validation of baseline, perioperative and at-discharge predictive models for postsurgical prosthetic joint infection

Published:2019-02 Issue:2 Volume:25 Page:196-202
ISSN:1198-743X
Container-title:Clinical Microbiology and Infection
language:en
Short-container-title:Clinical Microbiology and Infection

Author:

del Toro M.D.,Peñas C.,Conde-Albarracín A.,Palomino J.,Brun F.,Sánchez S.,Rodríguez-Baño J.

Funder

Consejería de Salud, Junta de Andalucia

Spanish Network for the Research in Infectious Diseases

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),General Medicine

Reference25 articles.

1. Epidemiology and burden of prosthetic joint infections;Lagmani;J Antimicrob Chemother,2014

2. Risk factors for prosthetic joint infection: case–control study;Berbari;Clin Infect Dis,1998

4. The Mayo prosthetic joint infection risk score: implication for surgical site infection reporting and risk stratification;Berbari;Infect Control Hosp Epidemiol,2012

5. Systematic review of risk prediction scores for surgical site infection or periprosthetic joint infection following joint arthroplasty;Kunutsor;Epidemiol Infect,2017

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