Neal R Barshes1,2,3, Nicholas J Clark4, Deeksha Bidare5, J H Dudenhoeffer6, Cezarina Mindru2,3, Maria C Rodriguez-Barradas2,3. 1. Division of Vascular Surgery and Endovascular Therapy, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA. 2. Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA. 3. Infectious Disease Section, Department of Medicine, One Baylor Plaza, Houston, Texas, USA. 4. School of Veterinary Science, School of Veterinary Science, The University of Queensland, Gatton, Queensland, Australia. 5. Baylor College of Medicine, One Baylor Plaza, Houston, Texas, USA. 6. Department of Biology and Biochemistry, University of Houston, Houston, Texas, USA.
Abstract
Background: That foot infections are predominately polymicrobial has long been recognized, but it is not clear if the various species co-occur randomly or in patterns. We sought nonrandom species co-occurrence patterns that might help better predict prognosis or guide antimicrobial selection. Methods: We analyzed tissue (bone, skin, and other soft tissue), fluid, and swab specimens collected from initial foot infection episodes during a 10-year period using a hospital registry. Nonrandom co-occurrence of microbial species was identified using simple pairwise co-occurrence rates adjusted for multiple comparisons, Markov and conditional random fields, and factor analysis. A historical cohort was used to validate pattern occurrence and identify clinical significance. Results: In total, 156 unique species were identified among the 727 specimens obtained from initial foot infection episodes in 694 patients. Multiple analyses suggested that Staphylococcus aureus is negatively associated with other staphylococci. Another pattern noted was the co-occurrence of alpha-hemolytic Streptococcus, Enterococcus fecalis, Klebsiella, Proteus, Enterobacter, or Escherichia coli, and absence of both Bacteroides and Corynebacterium. Patients in a historical cohort with this latter pattern had significantly higher risk-adjusted rates of treatment failure. Conclusions: Several nonrandom microbial co-occurrence patterns are frequently seen in foot infection specimens. One particular pattern with many Proteobacteria species may denote a higher risk for treatment failure. Staphylococcus aureus rarely co-occurs with other staphylococci. Published by Oxford University Press on behalf of Infectious Diseases Society of America 2022.
Background: That foot infections are predominately polymicrobial has long been recognized, but it is not clear if the various species co-occur randomly or in patterns. We sought nonrandom species co-occurrence patterns that might help better predict prognosis or guide antimicrobial selection. Methods: We analyzed tissue (bone, skin, and other soft tissue), fluid, and swab specimens collected from initial foot infection episodes during a 10-year period using a hospital registry. Nonrandom co-occurrence of microbial species was identified using simple pairwise co-occurrence rates adjusted for multiple comparisons, Markov and conditional random fields, and factor analysis. A historical cohort was used to validate pattern occurrence and identify clinical significance. Results: In total, 156 unique species were identified among the 727 specimens obtained from initial foot infection episodes in 694 patients. Multiple analyses suggested that Staphylococcus aureus is negatively associated with other staphylococci. Another pattern noted was the co-occurrence of alpha-hemolytic Streptococcus, Enterococcus fecalis, Klebsiella, Proteus, Enterobacter, or Escherichia coli, and absence of both Bacteroides and Corynebacterium. Patients in a historical cohort with this latter pattern had significantly higher risk-adjusted rates of treatment failure. Conclusions: Several nonrandom microbial co-occurrence patterns are frequently seen in foot infection specimens. One particular pattern with many Proteobacteria species may denote a higher risk for treatment failure. Staphylococcus aureus rarely co-occurs with other staphylococci. Published by Oxford University Press on behalf of Infectious Diseases Society of America 2022.
Authors: Marianne S Muhlebach; Joseph E Hatch; Gisli G Einarsson; Stef J McGrath; Deirdre F Gilipin; Gillian Lavelle; Bojana Mirkovic; Michelle A Murray; Paul McNally; Nathan Gotman; Sonia Davis Thomas; Matthew C Wolfgang; Peter H Gilligan; Noel G McElvaney; J Stuart Elborn; Richard C Boucher; Michael M Tunney Journal: Eur Respir J Date: 2018-07-11 Impact factor: 16.671
Authors: Neal R Barshes; Cezarina Mindru; Chester Ashong; Maria Rodriguez-Barradas; Barbara W Trautner Journal: Int J Low Extrem Wounds Date: 2016-09-20 Impact factor: 2.057
Authors: N Saltoglu; M Yemisen; O Ergonul; A Kadanali; G Karagoz; A Batirel; O Ak; H Eraksoy; A Cagatay; A Vatan; G Sengoz; F Pehlivanoglu; T Aslan; Y Akkoyunlu; D Engin; N Ceran; B Erturk; L Mulazimoglu; O Oncul; H Ay; F Sargin; N Ozgunes; F Simsek; T Yildirmak; N Tuna; O Karabay; K Yasar; N Uzun; Y Kucukardali; M Sonmezoglu; F Yilmaz; U Tozalgan; S Ozer; M Ozyazar Journal: Clin Microbiol Infect Date: 2015-04-08 Impact factor: 8.067
Authors: S A V van Asten; J La Fontaine; E J G Peters; K Bhavan; P J Kim; L A Lavery Journal: Eur J Clin Microbiol Infect Dis Date: 2015-12-15 Impact factor: 3.267