Purpose: The use of intraoperative technology is increasing among orthopedic surgeons in the United States. However, there is continued debate as to whether intraoperative technologies provide clinical benefits in patients undergoing total knee arthroplasty (TKA). This study sought to determine whether the use of a novel intraoperative navigation technology produces equivalent or superior short-term outcomes compared to conventional technique.
Methods: Fifty-nine consecutive patients underwent primary TKA with a novel imageless intraoperative navigational technology between October 2019 and January 2020 at a single, urban, orthopedic specialty hospital. A 1:1 cohort propensity matching was performed with patients with similar demographics who underwent primary TKA without the use of technology. Demographics, clinical data, as well as preoperative and 3-month Knee Injury and Osteoarthritis Outcome Score, Joint Replacement (KOOS, JR) scores were collected. Demographic differences, clinical data, and mean KOOS, JR scores were assessed using chi-squared analysis for categorical variables and independent sample t-test for continuous variables.
Results: Upon 1:1 cohort matching, patients in both the navigational cohorts and non-navigational cohorts were statistically similar demographically. Length of stay (2.11 vs. 1.71 days; p = 0.108), surgical time (108.89 vs. 101.19 minutes, p = 0.066), discharge disposition (p = 0.675), 90- day readmissions (4 vs. 4, p = 0.999), and 90-day reoperations (2 vs. 2, p = 0.999) did not statistically differ between the two matched cohorts. Additionally, KOOS, JR scores evaluated between the two cohorts preoperatively (46.06 vs. 45.17, p = 0.836) and at 3-month follow-up (57.63 vs. 55.06, p = 0.580) were similar.
Conclusion: This study demonstrates that the use of this novel intraoperative navigational technology yields similar short-term TKA results when compared to conventionally performed TKA. Further studies are required to validate new technologies and determine their effect on long-term clinical and patient-reported outcomes.
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Plant Commun
January 2025
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Hubei, China. Electronic address:
In the face of climate change and the growing global population, there is an urgent need to accelerate the development of high-yielding crop varieties. To this end, vast amounts of genotype-to-phenotype data have been collected, and many machine learning (ML) models have been developed to predict phenotype from a given genotype. However, the requirement for high densities of single-nucleotide polymorphisms (SNPs) and the labor-intensive collection of phenotypic data are hampering the use of these models to advance breeding.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Faculty of Engineering and Natural Sciences, Tampere University, P.O. Box 541, FI-33101 Tampere, Finland.
The quest for small-scale, remotely controlled soft robots has led to the exploration of magnetic and optical fields for inducing shape morphing in soft materials. Magnetic stimulus excels when navigation in confined or optically opaque environments is required. Optical stimulus, in turn, boasts superior spatial precision and individual control over multiple objects.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Center of Clinical Pharmacology, Third Xiangya Hospital, Central South University, Changsha 410013.
Objectives: Software for pharmacological modeling and statistical analysis is essential for drug development and individualized treatment modeling. This study aims to develop a pharmacokinetic analysis cloud platform that leverages cloud-based benefits, offering a user-friendly interface with a smoother learning curve.
Methods: The platform was built using Rails as the framework, developed in Julia language, and employs PostgreSQL 14 database, Redis cache, and Sidekiq for asynchronous task management.
Accid Anal Prev
January 2025
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, PR China.
Freeway tunnel approach zones, situated outside the tunnel, do not undergo the same sudden changes in luminous environment and visual references that entrance zones experience. Despite this, accident data indicates that approach zones present similar safety risks to entrance zones, both of which are significantly higher than other tunnel sections. The reasons for the heightened risks in approach zones remain unclear in existing research.
View Article and Find Full Text PDFPhys Life Rev
January 2025
Institute of Intelligent Systems and Robotics, CNRS, Sorbonne University, Paris, France.
The pursuit of artificial consciousness requires conceptual clarity to navigate its theoretical and empirical challenges. This paper introduces a composite, multilevel, and multidimensional model of consciousness as a heuristic framework to guide research in this field. Consciousness is treated as a complex phenomenon, with distinct constituents and dimensions that can be operationalized for study and for evaluating their replication.
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