“Smart” Polymer Coating Prevents Spinal Implant Infection in a Mouse Model of Spine Surgery

2017 ◽  
Vol 17 (10) ◽  
pp. S168 ◽  
Author(s):  
Howard Y. Park ◽  
Weixian Xi ◽  
Suwei Zhu ◽  
Vishal Hegde ◽  
Stephen Zoller ◽  
...  
Author(s):  
Benjamin V. Kelley ◽  
Stephen D. Zoller ◽  
Danielle Greig ◽  
Kellyn Hori ◽  
Nicolas Cevallos ◽  
...  

2017 ◽  
Vol 17 (10) ◽  
pp. S169-S170
Author(s):  
Howard Y. Park ◽  
Vishal Hegde ◽  
Stephen Zoller ◽  
Christopher Hamad ◽  
Anthony A. Scaduto ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0173019 ◽  
Author(s):  
Yan Hu ◽  
Vishal Hegde ◽  
Daniel Johansen ◽  
Amanda H. Loftin ◽  
Erik Dworsky ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Friederike Schömig ◽  
Justus Bürger ◽  
Zhouyang Hu ◽  
Axel Pruß ◽  
Edda Klotz ◽  
...  

Abstract Background With a reported rate of 0.7–20%, postoperative spinal implant infection (PSII) is one of the most common complications after spine surgery. While in arthroplasty both haematoma formation and perioperative blood loss have been identified as risk factors for developing periprosthetic joint infections and preoperative anaemia has been associated with increased complication rates, literature on the aetiology of PSII remains limited. Methods We performed a matched-pair analysis of perioperative haemoglobin (Hb) and haematocrit (Hct) levels in aseptic and septic spine revision surgeries. 317 patients were included, 94 of which were classified as septic according to previously defined criteria. Patients were matched according to age, body mass index, diabetes, American Society of Anesthesiologists score and smoking habits. Descriptive summaries for septic and aseptic groups were analysed using Pearson chi-squared for categorical or Student t test for continuous variables. Results Fifty patients were matched and did not differ significantly in their reason for revision, mean length of hospital stay, blood transfusion, operating time, or number of levels operated on. While there was no significant difference in preoperative Hb or Hct levels, the mean difference between pre- and postoperative Hb was higher in the septic group (3.45 ± 1.25 vs. 2.82 ± 1.48 g/dL, p = 0.034). Conclusions We therefore show that the intraoperative Hb-trend is a predictor for the development of PSII independent of the amount of blood transfusions, operation time, number of spinal levels operated on and hospital length of stay, which is why strategies to reduce intraoperative blood loss in spine surgery need to be further studied.


2020 ◽  
Vol 6 (4) ◽  
pp. 793-799
Author(s):  
Justus Bürger ◽  
Yannick Palmowski ◽  
Matthias Pumberger

Spine ◽  
2020 ◽  
Vol 45 (9) ◽  
pp. E525-E532 ◽  
Author(s):  
Bayard C. Carlson ◽  
Jeremy T. Hines ◽  
William A. Robinson ◽  
Arjun S. Sebastian ◽  
Kerryl E. Greenwood-Quaintance ◽  
...  

2020 ◽  
Vol 102-B (7) ◽  
pp. 899-903
Author(s):  
Justus Bürger ◽  
Yannick Palmowski ◽  
Patrick Strube ◽  
Carsten Perka ◽  
Michael Putzier ◽  
...  

Aims To evaluate the histopathological examination of peri-implant tissue samples as a technique in the diagnosis of postoperative spinal implant infection (PSII). Methods This was a retrospective analysis. Patients who underwent revision spinal surgery at our institution were recruited for this study. PSII was diagnosed by clinical signs, histopathology, and microbiological examination of intraoperatively collected samples. Histopathology was defined as the gold standard. The sensitivity for histopathology was calculated. A total of 47 patients with PSII and at least one microbiological and histopathological sample were included in the study. Results PSII occurred in approximately 28% of the study population. Histopathology showed a sensitivity of 51.1% in the diagnosis of PSII. The most commonly found pathogens were Cutibacterium acnes and gram-positive staphylococci. Conclusion Histopathology has low sensitivity for detecting PSII. In particular, infections caused by low-virulence microorganisms are insufficiently detected by histopathology. Cite this article: Bone Joint J 2020;102-B(7):899–903.


2015 ◽  
Vol 2015 (jun03 1) ◽  
pp. bcr2015209782-bcr2015209782
Author(s):  
E. Virot ◽  
C. Barrey ◽  
C. Chidiac ◽  
T. Ferry ◽  

2000 ◽  
Vol 6 (4) ◽  
pp. 401-411 ◽  
Author(s):  
Kornelis A. Poelstra ◽  
Nazir A. Barekzi ◽  
Jeffrey B. Slunt ◽  
Thomas C. Schuler ◽  
David W. Grainger

JCI Insight ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Stephen D. Zoller ◽  
Howard Y. Park ◽  
Tove Olafsen ◽  
Charles Zamilpa ◽  
Zachary D.C. Burke ◽  
...  

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