Kliniek ViaSana

To determine whether posterior tibial slope (PTS) measured to proximal anatomical axes can serve as a reliable proxy for PTS measured to the mechanical tibial axis (mTA). In patients ≥18 years with failed anterior cruciate ligament reconstruction, medial and lateral PTS were measured relative to the mTA on a lateral lower-leg radiograph, and relative to the proximal tibial anatomical axis (PTAA), anterior tibial cortical axis (ATC) and posterior tibial cortical axis (PTC) on a lateral knee radiograph. Agreement was assessed using correlation coefficients, measurement error and Bland-Altman analysis. Diagnostic accuracy of the conventional ≥12° PTAA-based PTS cut-off for slope-reducing osteotomy was determined. Fifty-nine knees were analyzed. Correlation between proximal anatomical axes and mTA-based PTS measurements was strong (r ≥ 0.71), but agreement was poor. Mean measurement error for PTAA was 0.1 ± 2.4° (range: -5.7° to 7.6°) and -0.5 ± 2.4° (range: -6.6° to 5.2°), for ATC -3.4 ± 2.6° (range: -8.6° to 5.9°) and -3.7 ± 2.6° (range: -9.9° to 2.7°) and for PTC 3.0 ± 2.6° (range: -2.9° to 10.4°) and 2.7 ± 2.4° (range: -3.6° to 7.8°) for the medial and lateral plateau, respectively. For PTAA, absolute measurement error ≥2° occurred in approximately 50% of knees. Bland-Altman analysis showed 95% levels of agreement ranging from -4.89° to 4.62° (medial) and -5.11° to 4.11° (lateral). Using the ≥12° cut-off on PTAA-based PTS values misclassified approximately one in three knees (19.5% false-positive and 13.2% false-negative) relative to the mTA-based PTS reference values. Despite strong correlation, proximal anatomical axes-based PTS measurements on routine lateral knee radiographs show substantial, bidirectional measurement error outside clinically acceptable limits of agreement compared to mTA-based PTS measurements on full-length lateral lower-leg radiographs. Single-exposure, full-length lateral lower-leg radiographs should be obtained to measure PTS relative to the mTA when considering slope-reducing osteotomy. Level IV.

PurposeTo objectively identify the 100 most influential scientific publications in knee osteotomy and provide an analysis of their main characteristics.MethodsThe Clarivate Analytics Web of Knowledge database was used to obtain data and metrics on knee osteotomy research. The search list was sorted by the number of citations, and articles were included or excluded based on relevance to knee osteotomy. The information extracted for each article included the author's name, publication year, country of origin, journal name, article type and the level of evidence.ResultsThese 100 studies generated a total of 16,246 citations, with an average of 162.5 citations per article. The most‐cited article was cited 752 times. The 100 studies included in this analysis were published between 1976 and 2015. Twenty‐one different journals published these 100 publications. The majority of the publications were from the United States (n = 30), followed by Germany (n = 17) and Japan (n = 11). The most prevalent study designs were case series (n = 55) and cohort studies (n = 19).ConclusionThe 100 most influential publications in knee osteotomy were cited a total of 16,246 times. The study designs most used were case series and cohort studies with low‐level evidence. This publication serves as a reference to direct orthopaedic practitioners to the 100 most influential studies in knee osteotomy and target future research directions.Clinical RelevanceThis analysis of the 100 most influential (or cited) scientific publications in osteotomy around the knee will provide a comprehensive inventory of the most impactful academic contributions to a field that has recently regained interest among medical students, residents, fellows and attending physicians.Level of EvidenceN/A.

We present a case study of a 26-year-old male who sustained severe vascular and neurogenic injury during derotational osteotomy of the tibia. Directly postoperatively he complained of a drop foot, but 3 days later presented with an ischemic compartment syndrome of the anterior and lateral compartments. After debridement the osteotomy and metalware were exposed and the patient had a drop foot. Here we report how we salvaged his lower limb with a free functional latissimus dorsi muscle transfer that reconstructed soft tissues and restored ankle dorsiflexion.

BACKGROUND CONTEXTLumbar microdiscectomy is an effective treatment for short-term pain relief and improvements in disability in patients with lumbar radiculopathy, however, many patients experience residual pain and long-term disability. The 'people like me' approach seeks to enhance personalized prognosis and treatment effectiveness, utilizing historical data from similar patients to forecast individual outcomes. PURPOSEThe primary objective was to develop and test the ‘people-like-me’ approach for leg pain intensity and disability at 12-month follow-up after lumbar microdiscectomy and postoperative physical therapy. The secondary objective was to verify the clinical utility of the prediction tool via case vignettes. STUDY DESIGN/SETTINGA 12-month prospective cohort study. PATIENT SAMPLEPatients (N=618, mean age: 44.7) with lumbar radiculopathy who undergo a lumbar microdiscectomy and postoperative physical therapy. OUTCOME MEASURESLeg pain intensity (Visual Analogue Scale) and disability (Roland-Morris Disability Questionnaire) were measured at 12-months following surgery. METHODSPredictors were selected from data collected in routine practice before and 3-months after lumbar microdiscectomy. Predictive mean matching was used to select matches. Predictions were developed using preoperative data alone or combined with 3-month postoperative data. The prediction performance was evaluated for bias (difference between predicted and actual outcomes), coverage (proportion of actual outcomes within prediction intervals), and precision (accuracy of predictions) using leave-one-out cross-validation. RESULTSOverall, the 'people-like-me' approach using preoperative data showed accurate coverage and minimal average bias. However, precision based on preoperative data alone was limited. Incorporating 3-month postoperative data alongside preoperative predictors significantly enhanced prognostic precision for both leg pain and disability. Including postoperative data, leg pain prediction accuracy improved by 43% and disability by 23% compared to the sample mean. Adjusted R2 values improved from 0.04 to 0.21 for leg pain, and from 0.07 to 0.34 for disability, enhancing model precision. The effectiveness of this method was highlighted in two case vignettes, illustrating its application in similar patient scenarios. CONCLUSIONThe ‘people-like-me’ approach generated an accurate prognosis of 12-months outcomes following lumbar discectomy and physical therapy. Scheduling a 3-month postoperative follow-up to evaluate the course, and refine therapy plans and expectations for patients undergoing lumbar microdiscectomy would be recommended to assist clinicians and patients in more personalized healthcare planning and expectation setting.

It is largely unknown if and when patients return to daily activities after undergoing total hip arthroplasty (THA) and which factors might influence this return. This study aimed to assess the percentages of patients who had been able to return to daily activities, work, and sports at 3 months after THA. Furthermore, the time to return and factors influencing the return (patient characteristics, surgical characteristics, and preoperative patient-reported outcomes) were assessed. A retrospective cohort study of patients who underwent THA was performed with use of prospectively collected data. At 3 months postoperatively, patients completed a questionnaire regarding their return to 16 different activities across the categories of daily activities, work, and sports. The percentage of patients who returned to an activity, the time to return, and factors influencing the return were analyzed with use of logistic regression models utilizing backward selection. A total of 2,006 patients were studied. Most of the studied activities had been returned to by the majority of patients at 3 months after THA, with the percentage of patients who returned to an activity ranging from 28.8% to 97.9%. The mean or median time to return to an activity ranged from 1 to 56 days after THA. For 13 out of 16 activities, 1 or more of the studied factors influenced the return to the activity. R2 values ranged from 0.057 to 0.273. At 3 months after THA, 8 out of 10 patients had returned to daily activities, 7 out of 10 had returned to work, and 5 out of 10 had returned to sports. Factors that clearly influenced the return to daily activities, work, and sports could not be established. These findings might be useful in setting realistic expectations when counselling patients on their return to daily activities, work, and sports after THA. Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Wastewater‐based epidemiology (WBE) has been proven to be a useful tool in monitoring public health‐related issues such as drug use, and disease. By sampling wastewater and applying WBE methods, wastewater‐detectable pathogens such as viruses can be cheaply and effectively monitored, tracking people who might be missed or under‐represented in traditional disease surveillance. There is a gap in current knowledge in combining hydraulic modeling with WBE. Recent literature has also identified a gap in combining machine learning with WBE for the detection of viral outbreaks. In this study, we loosely coupled a physically‐based hydraulic model of pathogen introduction and transport with a machine learning model to track and trace the source of a pathogen within a sewer network and to evaluate its usefulness under various conditions. The methodology developed was applied to a hypothetical sewer network for the rapid detection of disease hotspots of the disease caused by the SARS‐CoV‐2 virus. Results showed that the machine learning model's ability to recognize hotspots is promising, but requires a high time‐resolution of monitoring data and is highly sensitive to the sewer system's physical layout and properties such as flow velocity, the pathogen sampling procedure, and the model's boundary conditions. The methodology proposed and developed in this paper opens new possibilities for WBE, suggesting a rapid back‐tracing of human‐excreted biomarkers based on only sampling at the outlet or other key points, but would require high‐frequency, contaminant‐specific sensor systems that are not available currently.

In diesem Jahr trat die ASV-Regelung für Sarkoidose mit dem Ziel einer besseren Versorgung der Patienten mittels gut vernetzter ärztlicher Kompetenz-Teams in Kraft. Innerhalb der letzten 5 Jahre wurden 247 Patienten wegen einer Sarkoidose an der Evangelischen Lungenklinik stationär behandelt. Gründe für die Zuweisung waren histologische Diagnosesicherung und Therapieoptimierung bei Unverträglichkeit, Progression oder Rezidiven.

ObjectiveTo determine the diagnostic accuracy of patient interview items and clinical tests to diagnose cervical radiculopathy. DesignA prospective diagnostic accuracy study. ParticipantsConsecutive patients (N=134) with a suspicion of cervical radiculopathy were included. A medical specialist made the diagnosis of cervical radiculopathy based on the patient's clinical presentation and corresponding Magnetic Resonance Imaging findings. Participants completed a list of patient interview items and the clinical tests were performed by a physiotherapist. Main outcome measuresDiagnostic accuracy was determined in terms of sensitivity, specificity, and positive (+LR) and negative likelihood ratios (−LR). Sensitivity and specificity values ≥0.80 were considered high. We considered +LR≥5 and −LR≤0.20 moderate, and +LR≥10 and −LR≤0.10 high. ResultsThe history items ‘arm pain worse than neck pain’, ‘provocation of symptoms when ironing’, ‘reduction of symptoms by walking with your hand in your pocket’, the Spurling test and the presence of reduced reflexes showed high specificity and are therefore useful to increase the probability of cervical radiculopathy when positive. The presence of ‘paraesthesia’ and ‘paraesthesia and/or numbness’ showed high sensitivity, indicating that the absence of these patient interview items decreases the probability of cervical radiculopathy. Although most of these items had potentially relevant likelihood ratios, none showed moderate or high likelihood ratios. ConclusionsSeveral patient interview items, the Spurling test and reduced reflexes are useful to assist in the diagnosis of cervical radiculopathy. Because there is no gold standard for cervical radiculopathy, caution is required to not over-interpret diagnostic accuracy values.

BACKGROUND Mobile eHealth apps are important tools in personal health care management. The Patient Journey app was developed to inform patients with musculoskeletal disorders during their perioperative period. The app contains timely information, video exercises, and functional tasks. Although the Patient Journey app and other health apps are widely used, little research is available on how patients appreciate these apps. OBJECTIVE The primary aim of this study was to evaluate the user-friendliness of the Patient Journey app in terms of its usability and the attitudes of users toward the app. The secondary aim was to evaluate positive and negative user experiences. METHODS A web-based questionnaire was sent to 2114 patients scheduled for surgery for a musculoskeletal disorder. Primary outcomes were usability (measured with the System Usability Scale) and user attitudes regarding the Patient Journey app (assessed with the second part of the eHealth Impact Questionnaire). The secondary outcomes were evaluated with multiple choice questions and open-ended questions, which were analyzed via inductive thematic content analyses. RESULTS Of the 940 patients who responded, 526 used the Patient Journey app. The usability of the app was high (System Usability Scale: median 85.0, IQR 72.5-92.5), and users had a positive attitude toward the Information and Presentation provided via the app (eHealth Impact Questionnaire: median 78.0, IQR 68.8-84.4). The app did not adequately improve the users’ confidence in discussing health with others (eHealth Impact Questionnaire: median 63.9, IQR 50.0-75.0) or motivation to manage health (eHealth Impact Questionnaire: median 61.1, IQR 55.6-72.2). Three core themes emerged regarding positive and negative user experiences: (1) content and information, (2) expectations and experiences, and (3) technical performance. Users experienced timely information and instructions positively and found that the app prepared and guided them optimally through the perioperative period. Negative user experiences were overly optimistic information, scarcely presented information about pain (medication), lack of reference data, insufficient information regarding clinical course deviations and complications, and lack of interaction with clinicians. CONCLUSIONS The Patient Journey app is a usable, informative, and presentable tool to inform patients with musculoskeletal disorders during their perioperative period. The qualitative analyses identified aspects that can further improve the user experiences of the app.