We report the case of nephrotic syndrome after COVID-19 vaccination. The patient was a man in his 30s with no comorbidities other than atopic dermatitis. Over the course of 2 weeks after the first COVID-19 vaccination, systemic oedema gradually appeared. He was referred to the nephrology department for investigation of the systemic oedema. On admission, he presented with pitting oedema in his lower extremities. Initial examinations revealed massive urinary protein and decreased serum albumin, at 13.9 g/g Cr and 1.5 g/dL, respectively. Renal biopsy was performed, and minimal change disease was diagnosed. Prednisolone 60 mg/day was promptly started on the 5th day of hospitalisation, and complete remission was achieved on the 12th day. Prednisolone was once tapered off in 1.5 years successfully though minimal change disease was relapsed in 1 month after the steroid withdrawal.
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http://dx.doi.org/10.1136/bcr-2023-255144 | DOI Listing |
Intensive Care Med Exp
January 2025
Freie Universität Berlin and Humboldt-Universität Zu Berlin, Department of Anesthesiology and Intensive Care Medicine, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Purpose: CytoSorb® (CS) adsorbent is a hemoadsorption filter for extracorporeal blood purification often integrated into continuous kidney replacement therapy (CKRT). It is primarily used in critically ill patients with sepsis and related conditions, including cytokine storms and systemic inflammatory responses. Up to now, there is no evidence nor recommendation for the use of CS filters in sepsis (22).
View Article and Find Full Text PDFIntroduction: Health Professions Scholarship Program (HPSP) medical students typically enter the military with minimal military experience, commissioning specifically for the scholarship. During medical school, the only required training is a 5- to 6-week officer training course, which is neither specific to medicine nor guaranteed to be at the beginning of school, since it can be taken at any time. This lack of prior experience can lead to decreased confidence and understanding of the HPSP, specifically the medical school timeline leading up to the military match process and overall military.
View Article and Find Full Text PDFFoot Ankle Int
January 2025
Department of Orthopaedic Surgery, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Background: Autologous osteochondral transplantation (AOT) is an option to treat large osteochondral lesions of the talus (OLTs), accompanying subchondral cyst, and previous unsuccessful bone marrow stimulation (BMS) procedures. Although there is extensive literature on the outcomes of surgical interventions for medial osteochondral lesions, research focusing on lateral lesions remains limited. This article presents the intermediate-term clinical and radiologic outcomes following AOT for lateral OLTs.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Background: Healthcare resources have been concentrated in urban areas, leaving rural regions vulnerable to poorer health outcomes. The Problem Solving for Better Health (PSBH) program was implemented to enhance healthcare systems in resource-limited regions by training personnel to maximize existing resources in problem-solving. This study evaluated the implementation effectiveness of PSBH-Nursing (PSBHN), a nationally led initiative to train nurses in PSBH in Lesotho.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
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