JOURNAL ARTICLE

Pulmonary Complications in Egyptian Bone Marrow Transplantation Recipients and their Effect on the Outcome of Transplant: A Single Center Experience.

  • Published In: QJM: An International Journal of Medicine, 2024, v. 117. P. ii76 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Al-Abbassy, Yasmin Fahd; Ahmed, Mona Mansour; Mohamed Samra, Mohamed Abdelmooti; Abd El-Haleem, Tamer Mohamed Ali; Abd El-Kader, Maryam Ali 3 of 3

Abstract

The main focus of the first study is the evaluation of Rapid On-Site Evaluation (ROSE) during Conventional and Endobronchial Ultrasound-guided Transbronchial Needle Aspiration (EBUS-TBNA) for diagnosing mediastinal lymphadenopathy and lung cancer. The prospective study of 60 cases showed that ROSE improved diagnostic accuracy to 100%, compared to 66.7% without ROSE, by reducing nondiagnostic specimens and unnecessary procedures. Another study assessed pulmonary complications in 150 Egyptian bone marrow transplantation recipients, finding that 48% developed pulmonary complications, with bacterial pneumonia being the most common and a significant contributor to mortality, especially within the first 100 days post-transplant. A third study investigated the clinical significance of IL-6 gene polymorphism on erythropoietin responsiveness in hemodialysis patients, reporting no significant difference in IL-6 genotype frequencies between patients and controls.

Additional Information

  • Source:QJM: An International Journal of Medicine. 2024/10, Vol. 117, pii76
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:1460-2725
  • DOI:10.1093/qjmed/hcae175.176
  • Accession Number:181635796
  • Copyright Statement:Copyright of QJM: An International Journal of Medicine is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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