BACKGROUND: Surgical site infection (SSI) is an important cause of disease burden and healthcare costs. Fully manual surveillance is time-consuming and prone to subjectivity and inter-individual variability, which can be partly overcome by semi-automated surveillance. Algorithms used in orthopaedic SSI semi-automated surveillance have reported high sensitivity and important workload reduction. This study aimed to design and validate different algorithms to identify patients at high risk of SSI after hip or knee arthroplasty.
METHODS: Retrospective data from manual SSI surveillance between May 2015 and December 2017 were used as gold standard for validation. Knee and hip arthroplasty were included, patients were followed up for 90 days and European Centre for Disease Prevention and Control SSI classification was applied. Electronic health records data was used to generate different algorithms, considering combinations of the following variables: ≥1 positive culture, ≥ 3 microbiological requests, antimicrobial therapy ≥ 7 days, length of hospital stay ≥ 14 days, orthopaedics readmission, orthopaedics surgery and emergency department attendance. Sensitivity, specificity, negative and predictive value, and workload reduction were calculated.
RESULTS: In total 1631 surgical procedures were included, of which 67.5% (n = 1101) in women; patients\' median age was 69 years (IQR 62 to 77) and median Charlson index 2 (IQR 1 to 3). Most surgeries were elective (92.5%; n = 1508) and half were hip arthroplasty (52.8%; n = 861). SSI incidence was 3.8% (n = 62), of which 64.5% were deep or organ/space infections. Positive culture was the single variable with highest sensitivity (64.5%), followed by orthopaedic reintervention (59.7%). Twenty-four algorithms presented 90.3% sensitivity for all SSI types and 100% for deep and organ/space SSI. Workload reduction ranged from 59.7 to 67.7%. The algorithm including ≥ 3 microbiological requests, length of hospital stay ≥ 14 days and emergency department attendance, was one of the best options in terms of sensitivity, workload reduction and feasibility for implementation.
CONCLUSIONS: Different algorithms with high sensitivity to detect all types of SSI can be used in real life, tailored to clinical practice and data availability. Emergency department attendance can be an important variable to identify superficial SSI in semi-automated surveillance.

BACKGROUND: This study aims to investigate the impact of varying coronal alignments of femoral prostheses on stress and strain distributions within the lateral compartment following unicompartmental knee arthroplasty (UKA) in patients with normal bone density and osteoporosis using finite element analysis. Additionally, it examines the relationship between osteoporosis and the progression of osteoarthritis in the lateral compartment postoperatively.
METHODS: UKA models were developed for both normal bone and osteoporotic conditions using a validated finite element model of the knee. Seven alignment conditions for the femoral prosthesis were simulated: 0° (neutral alignment), varus angles of 3°, 6°, and 9°, and valgus angles of 3°, 6°, and 9°, resulting in a total of 14 scenarios. Stress and strain distributions in the meniscus, tibial cartilage, and femoral cartilage of the lateral compartment were evaluated.
RESULTS: The results indicated that stress and strain in the meniscus, tibial cartilage, and femoral cartilage of the lateral compartment increased with greater varus alignment and decreased with greater valgus alignment in both normal and osteoporotic models. At equivalent alignment angles, stress and strain were consistently higher in the osteoporotic model (M2) compared to the normal bone model (M1), although the peak equivalent stress in the tibial cartilage was lower in the M2 model than in the M1 model.
CONCLUSIONS: In patients with osteoporosis undergoing fixed-bearing medial UKA, varus malalignment of the femoral prosthesis can lead to increased stress and strain in the lateral compartment\'s meniscus, tibial cartilage, and femoral cartilage. These findings suggest that osteoporosis may contribute to abnormal stress and strain distributions in the lateral compartment following UKA, potentially accelerating the progression of osteoarthritis in this region postoperatively.

BACKGROUND: Characterizing the condition of patients suffering from knee osteoarthritis is complex due to multiple associations between clinical, functional, and structural parameters. While significant variability exists within this population, especially in candidates for total knee arthroplasty, there is increasing interest in knee kinematics among orthopedic surgeons aiming for more personalized approaches to achieve better outcomes and satisfaction. The primary objective of this study was to identify distinct kinematic phenotypes in total knee arthroplasty candidates and to compare different methods for the identification of these phenotypes.
METHODS: Three-dimensional kinematic data obtained from a Knee Kinesiography exam during treadmill walking in the clinic were used. Various aspects of the clustering process were evaluated and compared to achieve optimal clustering, including data preparation, transformation, and representation methods.
RESULTS: A K-Means clustering algorithm, performed using Euclidean distance, combined with principal component analysis applied on data transformed by standardization, was the optimal approach. Two unique kinematic phenotypes were identified among 80 total knee arthroplasty candidates. The two distinct phenotypes divided patients who significantly differed both in terms of knee kinematic representation and clinical outcomes, including a notable variation in 63.3% of frontal plane features and 81.8% of transverse plane features across 77.33% of the gait cycle, as well as differences in the Pain Catastrophizing Scale, highlighting the impact of these kinematic variations on patient pain and function.
CONCLUSIONS: Results from this study provide valuable insights for clinicians to develop personalized treatment approaches based on patients\' phenotype affiliation, ultimately helping to improve total knee arthroplasty outcomes.

BACKGROUND: Gap tension is an important factor influencing the clinical outcomes of total knee arthroplasty (TKA). Traditional mechanical alignment (MA) places importance on neutral alignment and often requires additional soft tissue releases, which may be related to patient dissatisfaction. Conversely, the functional alignment requires less soft tissue release to achieve gap balance. Conventional gap tension instruments present several shortcomings in practice. The aim of this study is to introduce a new gap balancing technique with FA using the modified spacer-based gap tool and the MAKO robotic arm system.
METHODS: A total of 22 consecutive patients underwent primary TKA using the MAKO robotic arm system. The gap tension was assessed and adjusted with the modified spacer-based gap tool during the operation. Patient satisfaction was evaluated post-operatively with a 5-point Likert scale. Clinical outcomes including lower limb alignment, Knee Society Score (KSS) and Western Ontario and McMaster Universities Arthritis Index (WOMAC) were recorded before surgery, 3 months and 1 year after surgery.
RESULTS: The range of motion (ROM) was significantly increased (p < 0.001) and no patients presented flexion contracture after the surgery. KSS and WOMAC score were significantly improved at 3 months and 1 year follow-up (p < 0.001 for all). During the surgery, the adjusted tibial cut showed more varus than planned and the adjusted femoral cut presented more external rotation than planned (p < 0.05 for both). The final hip-knee-ankle angle (HKA) was also more varus than planned (p < 0.05).
CONCLUSIONS: This kind of spacer-based gap balancing technique accompanied with the MAKO robotic arm system could promise controlled lower limb alignment and improved functional outcomes after TKA.

UNASSIGNED: Orthopaedic surgery is an effective intervention for treating the symptoms of degenerative joint disease or osteoarthritis (OA). Frequent wound dressing changes, unless clinically indicated, can disrupt the healing process and increase the occurrence of incision site contamination. Protection from contamination is critical for surgical incisions and, therefore, undisturbed wound healing (UWH) in surgical wound management is vital. This article describes a retrospective study reporting the clinical performance of a self-adherent, absorbent postoperative dressing, with a focus on dressing wear time.
UNASSIGNED: A single-centre, retrospective electronic medical record review of a convenience sample of adult patients treated with a dressing (Mepilex Border Post Op; Mölnlycke, Sweden) following elective hip or knee replacement was undertaken. Data relating to dressing wear time, rationale for dressing changes and patient-reported outcomes were extracted from a mobile health application moveUP Therapy (moveUP NV, Belgium). Health-related quality of life assessment was conducted using the EQ-5D-5L questionnaire and orthopaedic-specific quality of life (QoL) indicator tools.
UNASSIGNED: Of the 558 records reviewed, 151 respondents (27.1%) reported outcomes relating to dressing wear time and frequency of dressing change. The average wear time of the first dressing was 13.6 days (second dressing: 5.3 days). The proportion of patients who wore the first dressing for 1-7 days, 8-13 days and for ≥14 days was 17.2%, 13.2% and 69.5%, respectively. Data from the completed questionnaires revealed improvement in QoL over time.
UNASSIGNED: The results of this study are a good indicator of the suitability of the postoperative dressing for a 14-day wear time, in line with the principles of UWH.

BACKGROUND: This study investigates the effectiveness of a self-developed intelligent monitoring system for home-based knee rehabilitation following total knee arthroplasty (TKA).
METHODS: In this randomized controlled trial, 120 patients undergoing TKA were divided using random digit allocation. Preoperative and one-month postoperative assessments of knee function, quality of life, and isometric knee extension strength were conducted with the Intelligent Monitoring System. Patients received group-specific rehabilitation instructions pre-discharge and performed exercises for one month.
RESULTS: Changes in isometric knee extensor strength on the affected side within one month post-surgery for the brace-monitored rehabilitation group showed a significant decrease three days after surgery compared to one day before surgery. Subsequent measurements taken at postoperative days 5, 7, 14, and 21 indicated a gradual increase in strength, although these increases did not reach statistical significance when compared with previous measurements. One month post-surgery, all groups demonstrated significant improvements in knee joint function and mobility compared to pre-surgery levels. Notably, the brace-monitored group showed statistically significant improvements in 36-Item Short-Form Health Survey (SF-36) scores over the conventional rehabilitation group.
CONCLUSIONS: The Intelligent Monitoring System provides effective real-time monitoring and guidance for home-based knee rehabilitation post-TKA. It significantly enhances knee joint function, isometric knee extension strength, and quality of life shortly after surgery compared to traditional rehabilitation methods. This system offers a promising approach for improving postoperative recovery in TKA patients.
BACKGROUND: This study was approved by the Medical Ethics Committee of Xiangya Hospital, Central South University (Ethics Approval Number 202209008-2). It was registered with the China Clinical Trial Registry, a primary registry of the World Health Organization\'s International Clinical Trials Registry Platform (Registration Number ChiCTR2300068852).

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OBJECTIVE: Adductor canal block (ACB) is widely performed for postoperative analgesia for total knee arthroplasty (TKA). The aim of this study is to compare surgeon-assisted and anesthesiologist-assisted (ultrasound-guided) adductor blocks in terms of postoperative analgesic efficacy.
METHODS: This study was designed as a double-blind, prospective and randomized trial. A total of 240 participants were randomly allocated to three groups: one where the surgeon performed the adductor canal block (ACBs), another where it was conducted by an anesthetist with ultrasound guidance (ACBa), and a third group without the adductor block. The follow-up management after the Total Knee Arthroplasty (TKA) procedure occurred on the first, third, and tenth days, as well as the twelfth week. Outcome measures comprised pain assessment using the Visual Analog Scale (VAS) and monitoring opioid analgesic consumption.
RESULTS: No significant differences in demographic profiles were observed between the groups. Groups ACBa and ACBs exhibited significantly lower VAS scores compared to the control group at both 3 and 12 h after surgery, with group ACBa showing the lowest VAS scores among all groups. However, at 1 day, 3 days, 10 days and 12 weeks after surgery, there was no significant difference in VAS scores between the ACBa and ACBs groups. On the first three days, the ACBa group had the lowest opioid consumption and the lowest total opioid consumption. The differences in VAS scores between the groups began to decrease on the first day after surgery.
CONCLUSIONS: The adductor canal block (ACB) has been demonstrated to be an effective method of reducing pain in patients undergoing total knee replacement (TKR) in the postoperative period. Nevertheless, despite the pronounced impact that ACB performed by an anesthesiologist under ultrasound guidance has on VAS scores according to intraoperative ACB by surgeons, its effect on clinical outcomes has not been demonstrated.
BACKGROUND: This study was retrospectively registered with the Clinical Trials Registry Platform on July 31, 2024 (NCT06533085).

BACKGROUND: Total joint arthroplasty (TJA) for osteoarthritis is one of several treatment options with benefits and harms that patients value differently. However, the process for determining TJA appropriateness does not sufficiently acknowledge patient perspectives. The aim of this paper is to propose an evidence-informed patient-centred conceptual model for elective TJA appropriateness for hip and knee osteoarthritis.
METHODS: Our interprofessional team developed a conceptual model for determining the appropriateness of adults considering elective TJA. The model was informed by a review of the evidence, a qualitative study we conducted with adults who underwent TJA for osteoarthritis to determine barriers and facilitators to the use of appropriateness criteria, and the research and clinical experience of team members.
RESULTS: Appropriateness is providing health services (e.g., TJA) with net benefits to the right patient at the right time. The proposed Patient-centred Elective TJA Appropriateness Conceptual Model involves three key steps. First, assess adults with osteoarthritis to determine eligibility for TJA. Second, acknowledge the patient\'s informed preferences including their expectations and goals. Third, explore and support their mental and physical readiness for TJA. Given that osteoarthritis is a chronic condition, these steps can be revisited over time with patients.
CONCLUSIONS: Our proposed conceptual model reconceptualises the appropriateness of TJA to be more patient-centred. Hence, this approach has the potential to be a more inclusive approach and ensure patients undergoing TJA are eligible, ready to proceed, and achieve what matters most to them. Future research is needed to test and validate the model.

BACKGROUND: Several risk factors are associated with acute venous thromboembolism (VTE) after total joint arthroplasty (TJA). However, there is a lack of literature regarding the cumulative impact of multiple risk factors. To address this gap, we utilized the PearlDiver database, an insurance billing claims database containing de-identified data from 91 million orthopedic patients.
METHODS: The PearlDiver database was queried for records of patients who underwent total hip and knee arthroplasty from 2010 to 2019 using ICD-10 and CPT codes. Twelve persistent and two transient risk factors were analyzed for their association with the occurrence of acute VTE within three months after surgery. Univariate and logistic regression analyses with odds ratios (ORs) and confidence intervals (CIs) were conducted to determine the odds associated with each risk factor and the impact of multiple concurrent risk factors.
RESULTS: A total of 988,675 patients who underwent hip and knee arthroplasty met the inclusion criteria, of whom 1.5% developed acute VTE after three months. The prevalence of VTE risk factors ranged from 0.2 to 38.6%. Individual, persistent risk factors demonstrated 14-84% increased odds of VTE compared to a 1.2% increase for a transient risk factor (acute myocardial infarction). Three or more persistent risk factors were associated with a higher risk of VTE.
CONCLUSIONS: Persistent risk factors were associated with a higher incidence of postoperative VTE than transient risk factors. An incremental increase in risk was noted if three or more persistent risk factors were present.