Literature DB >> 28222919

Specific Infectious Organisms Associated With Poor Outcomes in Treatment for Hip Periprosthetic Infection.

Daniel J Cunningham1, Joseph J Kavolus2, Michael P Bolognesi2, Samuel S Wellman2, Thorsten M Seyler2.   

Abstract

BACKGROUND: Periprosthetic hip infection treatment remains a significant challenge for orthopedics. Some studies have suggested that methicillin resistance and gram-negative organism type are associated with increased treatment failure. The aim of this research is to determine if specific organisms were associated with poor outcomes in treatment for hip periprosthetic infection.
METHODS: Records were reviewed of all patients between 2005 and 2015 who underwent treatment for infected partial or total hip arthroplasty. Characteristics of each patient's treatment course were determined including baseline characteristics, infecting organism(s), infection status at final follow-up, surgeries for infection, and time in hospital. Baseline characteristics and organisms that were associated with clinical outcomes in univariate analysis were incorporated into multivariable outcomes models.
RESULTS: When compared with patients infected with other organism(s), patients infected with the following organisms had significantly decreased infection-free rates: Pseudomonas, methicillin-resistant Staphylococcus aureus (MRSA), and Proteus. Infection with certain organisms was associated with 1.13-2.58 additional surgeries: methicillin-sensitive S aureus, coagulase-negative Staphylococcus, MRSA, Pseudomonas, Peptostreptococcus, Klebsiella, Candida, diphtheroids, Propionibacterium acnes, and Proteus species. Specific organisms were associated with 8.56-24.54 additional days in hospital for infection: methicillin-sensitive S aureus, coagulase-negative Staphylococcus, Proteus, MRSA, Enterococcus, Pseudomonas, Klebsiella, beta-hemolytic Streptococcus, and diphtheroids. Higher comorbidity score was also associated with greater length of hospitalization.
CONCLUSION: MRSA, Pseudomonas, and Proteus were associated with all 3 outcomes of lower infection-free rate, more surgery, and more time in hospital in treatment for hip periprosthetic infection. Organism-specific outcome information may help individualize patient-physician discussions about the expected course of treatment for hip periprosthetic infection.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  MRSA; Proteus; Pseudomonas; hip arthroplasty periprosthetic infection; hip arthroplasty prosthetic joint infection; infection free

Mesh:

Year:  2017        PMID: 28222919      PMCID: PMC5440199          DOI: 10.1016/j.arth.2017.01.027

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  22 in total

Review 1.  Infection after total hip arthroplasty. Past, present, and future.

Authors:  K L Garvin; A D Hanssen
Journal:  J Bone Joint Surg Am       Date:  1995-10       Impact factor: 5.284

2.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  Int J Surg       Date:  2014-07-18       Impact factor: 6.071

3.  Prosthetic joint infection caused by gram-negative organisms.

Authors:  Benjamin Zmistowski; Catherine J Fedorka; Eoin Sheehan; Gregory Deirmengian; Matthew S Austin; Javad Parvizi
Journal:  J Arthroplasty       Date:  2011-06-08       Impact factor: 4.757

4.  The Microbiological Profiles of Infected Prosthetic Implants with an Emphasis on the Organisms which Form Biofilms.

Authors:  Anisha Fernandes; Meena Dias
Journal:  J Clin Diagn Res       Date:  2013-02-01

Review 5.  Diagnosis of periprosthetic infection.

Authors:  Thomas W Bauer; Javad Parvizi; Naomi Kobayashi; Viktor Krebs
Journal:  J Bone Joint Surg Am       Date:  2006-04       Impact factor: 5.284

6.  Two-stage reimplantation of total joint infections: a comparison of resistant and non-resistant organisms.

Authors:  Steven J Volin; Steven H Hinrichs; Kevin L Garvin
Journal:  Clin Orthop Relat Res       Date:  2004-10       Impact factor: 4.176

7.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

8.  Success after treatment of periprosthetic joint infection: a Delphi-based international multidisciplinary consensus.

Authors:  Claudio Diaz-Ledezma; Carlos A Higuera; Javad Parvizi
Journal:  Clin Orthop Relat Res       Date:  2013-02-26       Impact factor: 4.176

9.  Management of deep infection of total hip replacement.

Authors:  H W Buchholz; R A Elson; E Engelbrecht; H Lodenkämper; J Röttger; A Siegel
Journal:  J Bone Joint Surg Br       Date:  1981

Review 10.  Prosthetic joint infection.

Authors:  Aaron J Tande; Robin Patel
Journal:  Clin Microbiol Rev       Date:  2014-04       Impact factor: 26.132

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  6 in total

1.  "Recommendations for periprosthetic joint infections (PJI) prevention: the European Knee Associates (EKA)-International Committee American Association of Hip and Knee Surgeons (AAHKS)-Arthroplasty Society in Asia (ASIA) survey of members".

Authors:  Pier Francesco Indelli; F Iannotti; A Ferretti; R Valtanen; P Prati; D Pérez Prieto; N P Kort; B Violante; N R Tandogan; A Schiavone Panni; G Pipino; M T Hirschmann
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-09-13       Impact factor: 4.342

2.  Mouse model of Gram-negative prosthetic joint infection reveals therapeutic targets.

Authors:  John M Thompson; Robert J Miller; Alyssa G Ashbaugh; Carly A Dillen; Julie E Pickett; Yu Wang; Roger V Ortines; Robert S Sterling; Kevin P Francis; Nicholas M Bernthal; Taylor S Cohen; Christine Tkaczyk; Li Yu; C Kendall Stover; Antonio DiGiandomenico; Bret R Sellman; Daniel Lj Thorek; Lloyd S Miller
Journal:  JCI Insight       Date:  2018-09-06

3.  Prosthetic joint infections present diverse and unique microbial communities using combined whole-genome shotgun sequencing and culturing methods.

Authors:  Abigail A Weaver; Nur A Hasan; Mark Klaassen; Hiren Karathia; Rita R Colwell; Joshua D Shrout
Journal:  J Med Microbiol       Date:  2019-10       Impact factor: 3.196

4.  A Clinico-Microbiological Study of Prosthetic Joint Infections in an Indian Tertiary Care Hospital: Role of Universal 16S rRNA Gene Polymerase Chain Reaction and Sequencing in Diagnosis.

Authors:  Sujeesh Sebastian; Rajesh Malhotra; Vishnubhatla Sreenivas; Arti Kapil; Rama Chaudhry; Benu Dhawan
Journal:  Indian J Orthop       Date:  2019 Sep-Oct       Impact factor: 1.251

5.  Predictors of Treatment Failure for Hip and Knee Prosthetic Joint Infections in the Setting of 1- and 2-Stage Exchange Arthroplasty: A Multicenter Retrospective Cohort.

Authors:  Christopher E Kandel; Richard Jenkinson; Nick Daneman; David Backstein; Bettina E Hansen; Matthew P Muller; Kevin C Katz; Jessica Widdifield; Earl Bogoch; Sarah Ward; Abhilash Sajja; Felipe Garcia Jeldes; Allison McGeer
Journal:  Open Forum Infect Dis       Date:  2019-10-21       Impact factor: 3.835

Review 6.  Reducing the risk of infection after total joint arthroplasty: preoperative optimization.

Authors:  Brielle Antonelli; Antonia F Chen
Journal:  Arthroplasty       Date:  2019-08-01
  6 in total

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