Foot & Ankle Pubmed Results

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Reliability and concurrent validity of spatiotemporal stride characteristics measured with an ankle-worn sensor among older individuals.

Gait Posture. 2019 10;74:33-39

Authors: Rantalainen T, Pirkola H, Karavirta L, Rantanen T, Linnamo V

Abstract
BACKGROUND: Wearable inertial sensors have been shown to provide valid mean gait characteristics assessments, however, assessment of variability is less convincingly established.
RESEARCH QUESTION: What level of concurrent validity, and session-to-session reliability does an ankle-worn inertial measurement unit (IMU)-based gait assessment with a novel angular velocity-based gait event detection algorithm have among older adults?
METHODS: Twenty seven (women N = 17) participants volunteered (age 74.4 (SD 4.3) years, body mass 74.5 (12.0) kg, height 165.9 (9.9) cm). Right leg stance, swing, and stride duration and stride length, and stride velocity were concurrently assessed with motion capture and with an IMU from a 3 min self-paced walk up and back a 14 m track repeated twice a week apart. Gait variability was assessed as the SD of all of the registered strides.
RESULTS: Significant difference was observed between methods for many of the mean stride characteristics and stride variability (all p < 0.05), fair to excellent agreement was observed for mean values of all of the five stride characteristics evaluated (intra-class correlation coefficient [ICC] from 0.43 to 1.00). However, poor agreement was observed for the SD of all of the evaluated stride characteristics (ICC from -0.25 to 0.00). Both methods indicated excellent session to session reliability for all of the five stride characteristics evaluated (ICC from 0.84 to 0.98, CV%RMS from 1.6% to 3.6%), whereas the variability characteristics exhibited poor to good reliability (ICC from 0.0 to 0.69, CV%RMS from 18.0% to 34.4%).
SIGNIFICANCE: Excellent concurrent validity and reliability was observed for mean spatiotemporal stride characteristics, however, gait variability exhibited poor concurrent validity and reliability. Although IMUs and the presented algorithm could be used to assess mean spatiotemporal stride characteristics among older individuals, either a more reliable gait event detection algorithm or alternative analytical approaches should be used for gait variability.

PMID: 31442820 [PubMed - indexed for MEDLINE]

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What Is the Optimal Method to Perform Bone Biopsy (Method, Location, Imaging Use) for Patients With Foot and Ankle Infections?

Foot Ankle Int. 2019 Jul;40(1_suppl):38S-39S

Authors: O'Neil JT

Abstract
RECOMMENDATION: A bone biopsy should generally be performed in a percutaneous fashion, particularly in cases where surgical debridement is not considered necessary. If surgical debridement is considered necessary, then an open biopsy can be performed as part of the debridement. Percutaneous biopsy should be performed under sterile conditions by an interventional radiologist or other physician trained in image-guided techniques. The location of the biopsy will depend upon the clinical and radiographic evaluations, with a goal of maximizing the yield of the biopsy while minimizing the risk of injury to surrounding and/or overlying soft tissue structures.
LEVEL OF EVIDENCE: Consensus.
DELEGATE VOTE: Agree: 100%, Disagree: 0%, Abstain: 0% (Unanimous, Strongest Consensus).

PMID: 31322943 [PubMed - indexed for MEDLINE]

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What Strategies Can Be Implemented to Help Isolate the Causative Organism in Patients With Infection of the Foot and Ankle?

Foot Ankle Int. 2019 Jul;40(1_suppl):33S-38S

Authors: Ellington K, Raikin S, Bemenderfer TB

Abstract
RECOMMENDATION: Transfer of synovial aspirate in blood culture bottles, obtaining deep biopsy of tissues and bone, obtaining multiple samples, increasing incubation period of cultures, and the use of molecular techniques for culture negative cases are some of the strategies that can help improve the ability to isolate the causative organism(s) in infections of foot and ankle.
LEVEL OF EVIDENCE: Moderate.
DELEGATE VOTE: Agree: 100%, Disagree: 0%, Abstain: 0% (Unanimous, Strongest Consensus).

PMID: 31322940 [PubMed - indexed for MEDLINE]

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