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We conducted this study to assess the effect of ultrasound osteotome on surgical site wound infection and pain following removal of mandibular wisdom teeth. A computerised search of Embase, Cochrane Library, PubMed, Wanfang and China National Knowledge Infrastructure databases for publicly available randomised controlled trials (RCTs) on the clinical effects of applying ultrasound osteotome to extract mandibular wisdom teeth was conducted from the inception of the databases to September 2023. Two researchers independently screened the retrieved results for literature screening, quality assessment and data extraction. RevMan 5.4 software was applied for data analysis. A total of 17 RCTs were included in this study, including 848 cases in the ultrasound osteotome group and 842 cases in the control group. The analysis revealed, compared with the control group, the ultrasound osteotome group showed a significantly lower incidence of postoperative wound infection (1.42% vs. 5.46%, odds ratio [OR]: 0.30, 95% confidence intervals [CI]: 0.17–0.53, p < 0.0001), fewer postoperative complications (6.35% vs. 22.12%, OR: 0.23, 95% CI: 0.17–0.32, p < 0.00001), shorter operative time (standardised mean differences [SMD]: −1.30, 95% CI: −1.97 to −0.64, p = 0.0001) and lower wound pain scores (SMD: −2.26 95% CI −2.80 to −1.73, p < 0.00001). Strong evidence suggests that ultrasound osteotome applied to extract mandibular wisdom teeth is more advantageous in terms of lower postoperative wound infection, less wound pain, fewer postoperative complications and shorter operative time compared with conventional treatment methods, but large-scale, multicentre RCTs are still needed to obtain more accurate results.
This research sought to delineate risk factors associated with surgical site infections (SSIs) post-total knee arthroplasty (post-TKA) in elderly osteoarthritis patients, aiming to enhance post-surgical outcomes. A retrospective examination was conducted on a cohort of 650 elderly patients who underwent unilateral TKA between January 2018 and August 2022. Data procurement was from the hospital's Electronic Health Record, and a comprehensive statistical evaluation was performed using IBM SPSS Statistics version 24.0. Both univariate and multivariate techniques assessed a spectrum of risk determinants such as age, body mass index (BMI), coexisting medical conditions and surgical variables. The univariate examination spotlighted age, BMI, diabetes prevalence, chronic corticosteroid consumption and American Society of Anesthesiologists (ASA) physical status classification as notable predictors of SSIs. The multivariate logistic regression pinpointed age, BMI, history of smoking and diabetes diagnosis as salient risk attributors for post-TKA infections. Concurrently, parameters like ASA classification, surgical duration and intraoperative haemorrhage further enriched the risk landscape. Geriatric patients undergoing TKA for knee osteoarthritis manifest a tangible infection susceptibility post-surgery. Precision interventions concentrating on amendable risk components, including meticulous preoperative evaluations and strategic postoperative care, are imperative to attenuate SSI incidence, thereby amplifying surgical efficacy and optimizing patient recuperation trajectories.
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