Objective: Our intent was to explore the relationships between adherence to fall-prevention recommendations and client characteristics possibly related to adherence. Method: We used secondary data originally collected from the initial interviews/home evaluations and follow-up interviews of 120 participants from a previously completed community-based fall-prevention program. Correlations of data from all participants explored relationships between adherence to fall-prevention recommendations and initial concern for falling, self-rated health, and self-rated fallprevention knowledge. To better understand whether participants gained understanding of the impact of adherence to recommendations, a content analysis was performed on narrative responses to a question regarding the effect of adherence to recommendations on one's ability to independently perform daily tasks. Results: Considering the entire sample, concern about falling was related to adherence to fall-prevention recommendations, but adherence and increased self-rated fall-prevention knowledge was correlated only in a subgroup of participants who identified helpful attributes of recommendations in their narrative responses. Conclusion: Occupational therapy fall-prevention recommendations cannot invoke change without adherence. The relationship demonstrated here between adherence to fall-prevention recommendations and increased self-rated fall-prevention knowledge in participants verbalizing positive aspects of following the recommendations supports previous findings and suggests that an understanding of the benefit may be associated with adherence to fall-prevention recommendations, hopefully leading to fewer falls.
Lipomas are one of the most common benign connective tissue masses in the human body. They rarely cause issues and are typically removed for cosmetic reasons. They rarely appear in the oral cavity though they are common. Thus, only a few sublingual lipoma cases have been reported. We present a case of a male in his 60s who came to our clinic complaining of dysphagia and dysarthria caused by an oral swelling from a right sublingual simple lipoma. It was decided to be removed surgically under general anesthesia, with neuromonitoring of the right hypoglossal nerve. The patient tolerated the surgery without complications and fully recovered with complete resolution of his mass effect symptoms. This case demonstrated the importance of having a wide differential diagnosis of oral lesions, especially in a patient with a complicated medical history. Though it is not used often, the case also demonstrated the neuroprotective effect of intraoperative hypoglossal nerve monitoring during sublingual surgeries.
INTRODUCTION: Epithelial ovarian cancer (OC) is typically diagnosed at advanced stages and accounts for more deaths than any other gynecological cancer. Early detection of OC may improve prognosis. Microbial profiling has identified various diseases and may be utilized to detect OC. We hypothesize that patients with OC have a unique microbial profile, which in conjunction with biomarkers Cancer Antigen-125 (CA-125) and Human Epididymis protein 4 (HE4), would enable a novel screening mechanism to effectively detect OC. METHODS: Inclusion: Consented patients ≥30 yrs presenting at SIU Gynecologic/Oncology for management of an adnexal mass or suspected OC. Exclusion: patients with a previous malignancy, pregnant/intending to conceive. CA-125/HE4 were analyzed in serum and peritoneal fluid (PF). Extracted DNA from PF was sequenced (V4 region of bacterial 16S rRNA gene), then identified using Greengenes database and clustered into operational taxonomical units (OTUs). Microbial profile associations with CA-125/HE4 in serum and PF were calculated utilizing machine learning models for biomarker discovery. RESULTS: CA-125 and HE4 levels were elevated in serum and PF from patients with OC. Patients with OC also exhibited microbial profile clustering. Machine learning models identified 37 microbial features correlative with OC. Overall, performance of biological features (age, BMI, serum [CA-125/HE4], PF [CA-125/HE4], OTUs [taxa]), indicated that serum [CA-125/HE4]+age/BMI had the highest (0.96) accuracy for OC detection. Interestingly, OTUs [family/genus level+age/BMI] (0.87) outperformed PF [CA-125/HE4+age/BMI] (0.78). CONCLUSION: Microbial feature analysis may improve OC screening modalities and warrants further investigations into the urogenital and/or gastrointestinal microbiome profiles to improve detection/survival rates for OC.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.