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PubMed Original Article Evidence Unclassified

Long-Term Changes in Parameters of Bone Quality in Kidney Transplant Recipients Treated with Denosumab.

Calcified tissue international | 2025 | Pollastri F, Fassio A, Ferraro PM, Andreola S

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Original Article
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Abstract

[Indexed for MEDLINE] Conflict of interest statement: Declarations. Disclosure: DG has received advisory board honoraria, consultancy fees, and/or speaker fees from Amgen, Celgene, Eli-Lilly, MSD-Italia, Organon, and UCB. MR has received advisory board honoraria, consultancy fees and/or speaker fees from Abbvie, Eli-Lilly, Italfarmaco, Neopharmed-Gentili, Theramex, and UCB. GG has received speaker and advisory board honoraria from Vifor Pharma. PMF received consultant fees and grant/other support from Allena Pharmaceuticals, Alnylam, Amgen, AstraZeneca, Bayer, BioHealth Italia, Gilead, Novo Nordisk, Otsuka Pharmaceuticals, Rocchetta, and Vifor Fresenius and royalties as an author for UpToDate. All other authors declare no conflict of interest. Human and Animal Rights and Informed Consent: The study was conducted within the protocol 1483CESC approved by our local Ethics Committee, in accordance with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The clinical and research activities being reported are consistent with the Principles of the Declaration of Istanbul as outlined in the “Declaration of Istanbul on Organ Trafficking and Transplant Tourism.” Written informed consent was obtained from all participants included. 16. Front Public Health. 2024 Apr 24;12:1358010. doi: 10.3389/fpubh.2024.1358010. eCollection 2024. Tuberculosis and osteoporotic fracture risk: development of individualized fracture risk estimation prediction model using a nationwide cohort study. Choi H(#)(1), Shin J(#)(2), Jung JH(3), Han K(4), Choi W(5), Lee HR(2)(6), Yoo JE(7), Yeo Y(8), Lee H(#)(9), Shin DW(#)(10)(11). Author information: (1)Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Seoul, Republic of Korea. (2)International Healthcare Center, Samsung Medical Center, Seoul, Republic of Korea. (3)Department of Biostatistics, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea. (4)Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea. (5)Department of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Republic of Korea. (6)Department of Family Medicine and Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. (7)Department of Family Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea. (8)Department of Family Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Republic of Korea. (9)Division of Pulmonary Medicine and Allergy, Department of Internal Medicine, Hanyang Medical Center, Hanyang University College of Medicine, Seoul, Republic of Korea. (10)Department of Family Medicine, Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. (11)Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea. (#)Contributed equally PURPOSE: Tuberculosis (TB) is linked to sustained inflammation even after treatment, and fracture risk is higher in TB survivors than in the general population. However, no individualized fracture risk prediction model exists for TB survivors. We aimed to estimate fracture risk, identify fracture-related factors, and develop an individualized risk prediction model for TB survivors. METHODS: TB survivors (n = 44,453) between 2010 and 2017 and 1:1 age- and sex-matched controls were enrolled. One year after TB diagnosis, the participants were followed-up until the date of fracture, death, or end of the study period (December 2018). Cox proportional hazard regression analyses were performed to compare the fracture risk between TB survivors and controls and to identify fracture-related factors among TB survivors. RESULTS: During median 3.4 (interquartile range, 1.6-5.3) follow-up years, the incident fracture rate was significantly higher in TB survivors than in the matched controls (19.3 vs. 14.6 per 1,000 person-years, p 

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