Time filter

Source Type

New York, NY, United States

Butler-Wu S.M.,University of Washington | Burns E.M.,University of Washington | Pottinger P.S.,University of Washington | Magaret A.S.,University of Washington | And 4 more authors.
Journal of Clinical Microbiology | Year: 2011

Propionibacterium acnes is increasingly recognized as an important agent of prosthetic joint infection (PJI). However, the optimum culture conditions for recovery of this organism from PJI specimens have not been determined. By applying a prolonged 28-day culture incubation to all periprosthetic specimens received for bacterial culture from 198 revision arthroplasty procedures, we retrospectively determined that a 13-day culture incubation period is necessary for the recovery of P. acnes from patients with PJI. Incubation beyond this period was associated with increasing recovery of nondiagnostic isolates: 21.7% of P. acnes isolates believed to be clinically unimportant were recovered after 13 days of incubation. Importantly, a diagnosis of P. acnes PJI would have been missed in 29.4% of patients had extended culture incubation been applied only to anaerobic culture media. Although specimens from P. acnes PJIs were more commonly associated with the presence of ≥2 culture media positive for growth, acute inflammation (≥5 neutrophils/high-power field) was observed in only 40% of patients with PJIs that had more than one specimen submitted for bacterial culture. These results support the need for a minimum culture incubation period of 13 days to be applied to both aerobic and anaerobic culture media for all periprosthetic specimens. Optimal recovery of infecting organisms from PJI specimens will be an important component in generating a universal definition for PJI due to indolent agents of infection, such as P. acnes. Copyright © 2011, American Society for Microbiology. All Rights Reserved. Source

NYC First | Entity website

Dubbed a varsity sport for the mind,FIRST Robotics Competitioncombines the excitement of sport with the rigors of science and technology. Under strict rules, limited resources, and time limits, teams of 25 students or more are challenged to raise funds, design a team brand, hone teamwork skills, and build and program a robot to perform prescribed tasks against a field of competitors ...

NYC First | Entity website

Copyright 2016 NYC FIRST | A Ciplex Design

NYC First | Entity website

What is FIRST? VIDEO To transform our culture by creating a world where science and technology are celebrated andwhere young people dream of becoming science and technology leaders. Dean Kamen, Founder As part of a FIRST team, kids get to apply math and science knowledge, solve problems, make decisions, communicate complex ideas, collaborate as part of a team, exercise leadership, manage resources, create and execute business plans all essential skills in any successful technological enterprise ...

Adams B.J.,NYC First | Aschheim K.W.,NYC First
Journal of Forensic Sciences | Year: 2016

Comparison of antemortem and postmortem dental records is a leading method of victim identification, especially for incidents involving a large number of decedents. This process may be expedited with computer software that provides a ranked list of best possible matches. This study provides a comparison of the most commonly used conventional coding and sorting algorithms used in the United States (WinID3) with a simplified coding format that utilizes an optimized sorting algorithm. The simplified system consists of seven basic codes and utilizes an optimized algorithm based largely on the percentage of matches. To perform this research, a large reference database of approximately 50,000 antemortem and postmortem records was created. For most disaster scenarios, the proposed simplified codes, paired with the optimized algorithm, performed better than WinID3 which uses more complex codes. The detailed coding system does show better performance with extremely large numbers of records and/or significant body fragmentation. © 2016 American Academy of Forensic Sciences. Source

Discover hidden collaborations