BackgroundEnhanced recovery after surgery (ERAS) programs are aimed at minimizing postoperative stress and accelerating postoperative recovery by implementing multiple perioperative principles. “Early mobilization” is one such principle, but the quality of assessment and monitoring is poor, and evidence of improved outcome is lacking. Activity trackers allow precise monitoring and automatic feedback to the patients to enhance their motivation for early mobilization. The aim of the study is to monitor and increase the postoperative mobilization of patients by giving them continuous automatic feedback in the form of a step count using activity-tracking wristbands.Methods/designPatients undergoing elective open and laparoscopic surgery of the colon, rectum, stomach, pancreas, and liver for any indication will be included. Further inclusion criteria are age between 18 and 75 years, American Society of Anesthesiologists Physical Status class less than IV, and a signed informed consent form. Patients will be stratified into two subgroups, laparoscopic and open surgery, and will be randomized 1:1 for automatic feedback of their step count using an activity tracker wristband. The control group will have no automatic feedback. The sample size (n = 30 patients in each of the four groups, overall n = 120) is calculated on the basis of an assumed difference in step count of 250 steps daily (intervention group versus control group). The primary study endpoint is the average step count during the first 5 postoperative days; secondary endpoints are the percentage of patients in the two groups who master the predefined mobilization (step count) targets, assessment of additional activity data obtained from the devices, assessment of preoperative mobility, length of hospital and intensive care unit stays, number of patients who receive physiotherapy, 30-day mortality, and overall 30-day morbidity.DiscussionEarly mobilization is a key element of ERAS. However, enhanced early mobilization is difficult to define, to assess objectively, and to implement in clinical practice. Consequently, there is a discrepancy between ERAS targets and actual practice, especially in patients undergoing major visceral surgery. This study is the first randomized controlled trial investigating the use and feasibility of activity tracking to monitor and enhance postoperative early mobilization.Trial registrationClinicalTrials.gov identifier: NCT02834338. Registered on 15 June 2016.Electronic supplementary materialThe online version of this article (doi:10.1186/s13063-017-1782-1) contains supplementary material, which is available to authorized users.
Background The presence or absence of an implant has a major impact on the type of joint infection therapy. Thus, the aim of this study was the examination of potential differences in the spectrum of pathogens in patients with periprosthetic joint infections (PJI) as compared to patients with native joint infections (NJI). Methods In this retrospective study, we evaluated culture-positive synovial fluid samples of 192 consecutive patients obtained from January 2018 to January 2020 in a tertiary care university hospital. For metrically distributed parameters, Mann–Whitney U was used for comparison between groups. In case of nominal data, crosstabs and Chi-squared tests were implemented. Results Overall, 132 patients suffered from periprosthetic joint infections and 60 patients had infections of native joints. The most commonly isolated bacteria were coagulase-negative Staphylococci (CNS, 28%), followed by Staphylococcus aureus (S. aureus, 26.7%), and other bacteria, such as Streptococci (26.3%). We observed a significant dependence between the types of bacteria and the presence of a joint replacement (p < 0.05). Accordingly, detections of CNS occurred 2.5-fold more frequently in prosthetic as compared to native joint infections (33.9% vs. 13.4% p < 0.05). In contrast, S. aureus was observed 3.2-fold more often in NJIs as compared to PJIs (52.2% vs. 16.4%, p < 0.05). Conclusion The pathogen spectra of periprosthetic and native joint infections differ considerably. However, CNS and S. aureus are the predominant microorganisms in both, PJIs and NJIs, which may guide antimicrobial therapy until microbiologic specification of the causative pathogen.
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