Background: We performed an assessment of patient response rates and clinical outcomes to the global recall for textured breast implants and to our institution's letters informing them of their risk of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL).
Methods: A retrospective review of patients who had textured implants placed at our institution was completed. Outcome measures included patient response rates to either the global recall or our institution's letters, rate of textured implant removal, and type of subsequent revision surgery.
Results: A total of 1176 patients with textured implants were reviewed for this study. In total, 374 patients (31.8%) reached out to discuss their risk of BIA-ALCL, and 297 (25.3%) eventually presented to the clinic. One hundred twenty eight patients (34.2%) responded after the letter but before the US Food and Drug Administration (FDA) ban of macrotextured BIOCELL implants, 186 (49.7%) after the FDA ban, and 48 (12.8%) after the manufacturer's multichannel campaign. One hundred eighteen patients with textured implants (11.6%) proceeded with surgery. Most underwent exchange with smooth implants (76 patients [64.4%]) after textured implant removal.
Conclusions: A significant portion of patients (31.8%) responded to our letters, the FDA ban, and the manufacturer's campaign. Despite the low incidence of BIA-ALCL and the ongoing recommendation for observation in the setting of no symptoms, 11.6% of our patients still elected to proceed with implant removal. Exchange to smooth implants was the most popular surgical option at 64.4%.
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Sci Rep
December 2024
College of Advanced Manufacturing Innovation, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.
Vector-borne diseases pose a major worldwide health concern, impacting more than 1 billion people globally. Among various blood-feeding arthropods, mosquitoes stand out as the primary carriers of diseases significant in both medical and veterinary fields. Hence, comprehending their distinct role fulfilled by different mosquito types is crucial for efficiently addressing and enhancing control measures against mosquito-transmitted diseases.
View Article and Find Full Text PDFSci Rep
December 2024
School of Business, Shanghai Dianji University, Shanghai, China.
Rural Revitalization (RR) is a key national strategy in China aimed at sustainable rural development and has gained significant attention. Given the unique characteristics of different villages, understanding differentiated paths to achieve RR is essential. This study introduces a new "5I Framework" (INDUS-INHAB-INDOC-INFRA-INCOM) to assess RR's overall development status (ODS) and differentiated paths.
View Article and Find Full Text PDFClinics (Sao Paulo)
December 2024
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.
Background: Hospitalization for Transurethral Prostate Resection (TURP) involves circadian rhythm disturbance - a possible cause of Postoperative Neurocognitive Disorder (POCD) in elderly patients. This study investigated whether melatonin ameliorated this effect.
Methods: A double-blind, randomized clinical trial used a battery of neuropsychological tests to evaluate cognitive performance of 118 patients aged ≥ 60, before TURP with spinal anesthesia, and at 21- and 180-days PO.
Int J Surg
December 2024
Surgery Centre of Diabetes Mellitus, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Background: The global prevalence of non-alcoholic fatty liver disease (NAFLD) is approximately 30%, and the condition can progress to non-alcoholic steatohepatitis, cirrhosis, and hepatocellular carcinoma. Metabolic and bariatric surgery (MBS) has been shown to be effective in treating obesity and related disorders, including NAFLD.
Objective: In this study, comprehensive machine learning was used to identify biomarkers for precise treatment of NAFLD from the perspective of MBS.
J Cardiovasc Dev Dis
December 2024
Doctoral School of "Dunărea de Jos" University of Galati,800201 Galati, Romania.
Cardiovascular disease (CVD) is a significant global health concern and the leading cause of death in many countries. Early detection and diagnosis of CVD can significantly reduce the risk of complications and mortality. Machine learning methods, particularly classification algorithms, have demonstrated their potential to accurately predict the risk of cardiovascular disease (CVD) by analyzing patient data.
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