Introduction: The key outcome of joint registries is revision events, which inform clinical practice and identify poor-performing implants. Registries record revision events and reasons, but accuracy may be limited by a lack of standardized definitions of revision. Our study aims to assess the accuracy and completeness of unicompartmental knee arthroplasty (UKA) revision and indications reported to the New Zealand Joint Registry (NZJR) with independent clinical review.
Methods: Case record review of 2272 patients undergoing primary UKA at four large tertiary hospitals between 2000 and 2017 was performed, identifying 158 patients who underwent revision. Detailed review of clinical findings, radiographs and operative data was performed to identify revision cases and the reasons for revision using a standardized protocol. These were compared to NZJR data using chi-squared and Fisher exact tests.
Results: The NZJR recorded 150 (95%) of all UKA revisions. Osteoarthritis progression was the most common reason on the systematic clinical review (35%), however, this was underreported to the registry (8%, P < 0.001). A larger proportion of revisions reported to the registry were for 'pain' (30% of cases vs. 5% on clinical review, P < 0.001). A reason for revision was not reported to the registry for 10% of cases.
Conclusion: The NZJR had good capture of UKA revisions, but had significant differences in registry-reported revision reasons compared to our independent systematic clinical review. These included over-reporting of 'pain', under-reporting of osteoarthritis progression, and failing to identify a revision reason. Efforts to improve registry capture of revision reasons for UKA could be addressed through more standardized definitions of revision and tailored revision options for UKA on registry forms.
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http://dx.doi.org/10.1111/ans.19035 | DOI Listing |
Esophagus
December 2024
Department of Pathology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Background: Esophageal cancer is highly prevalent in China, predominantly represented by squamous cell carcinoma. This retrospective study sought to evaluate the diagnostic efficacy of four staining protocols in identifying early stage esophageal squamous cell carcinoma (ESCC).
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J Relig Health
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CINTESIS@RISE, Nursing School of Porto (ESEP), Porto, Portugal.
Caring for patients in intensive care units (ICUs) requires healthcare workers to recognize the importance of a spiritual care approach in these settings. Moving toward a holistic and patient-centered care model that incorporates spiritual care is essential for enhancing patients' healing process. The disease-centered approach of ICU and the perceived deficit of spiritual care highlight the need to add knowledge on integrating spiritual care interventions into daily ICU practices.
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December 2024
Division of Family Development, New Jersey Department of Human Services, Trenton, NJ, USA.
In this letter to the editor, we compare six different event history models to estimate eligible families participated in a subsidized rental housing program and . Answering these questions can inform efforts to improve program marketing and outreach, staffing and budgeting, triage, bias identification, as well as benchmarking and evaluation. One of six specifications clearly outperforms the others and understanding how will inform similar research pursuits.
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Colorectal Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
The management of locally advanced rectal cancer has changed drastically in the last few decades due to improved surgical techniques, development of multimodal treatment approaches and the introduction of a watch and wait (WW) strategy. For patients with a complete response to neoadjuvant treatment, WW offers an opportunity to avoid the morbidity associated with total mesorectal excision in favor of organ preservation. Despite growing interest in WW, prospective data on the safety and efficacy of nonoperative management are limited.
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Department of Mechanical Engineering, Columbia University in the City of New York, NY, USA.
Intent inferral on a hand orthosis for stroke patients is challenging due to the difficulty of data collection. Additionally, EMG signals exhibit significant variations across different conditions, sessions, and subjects, making it hard for classifiers to generalize. Traditional approaches require a large labeled dataset from the new condition, session, or subject to train intent classifiers; however, this data collection process is burdensome and time-consuming.
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