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Objectives: We evaluated the treatment outcome in late acute (LA) periprosthetic joint infections (PJI) treated with debridement and implant retention (DAIR) versus implant removal. Methods: In a large multicenter study, LA PJIs of the hip and knee were retrospectively evaluated. Failure was defined as: PJI related death, prosthesis removal or the need for suppressive antibiotic therapy. LA PJI was defined as acute symptoms < 3 weeks in patients more than 3 months after the index surgery and with a history of normal joint function. Results: 445 patients were included, comprising 340 cases treated with DAIR and 105 cases treated with implant removal (19% one-stage revision (n = 20), 74.3% two-stage revision (n = 78) and 6.7% definitive implant removal (n = 7). Overall failure in patients treated with DAIR was 45.0% (153/340) compared to 24.8% (26/105) for implant removal (p < 0.001). Difference in failure rate remained after 1:1 propensityscore matching. A preoperative CRIME80-score ≥3 (OR 2.9), PJI caused by S. aureus (OR 1.8) and implant retention (OR 3.1) were independent predictors for failure in the multivariate analysis. Conclusion: DAIR is a viable surgical treatment for most patients with LA PJI, but implant removal should be considered in a subset of patients, especially in those with a CRIME80-score ≥3.

Mobile Edge Computing (MEC) is a key enabler for the deployment of vehicular use cases, as it guarantees low latency and high bandwidth requirements. In this paper, we propose a MEC-based cooperative Collision Avoidance (MECAV) system designed to anticipate the detection and localization of road hazards. It includes a Collision Avoidance service, allocated in the MEC infrastructure, which receives information of status and detected hazards from vehicles, processes this information, and selectively informs to each vehicle that either approaches to road hazards or to other vehicles. We have implemented a proof-of-concept of the MECAV system and we have validated its architecture and functionalities.