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Research ArticleOriginal Article
Open Access

Comparison of hybrid capture and reverse transcriptase polymerase chain reaction methods in terms of diagnosing human cytomegalovirus infection in patients following hematopoietic stem cell transplantation

Arif S. Orsal, Murat Ozsan, Istar Dolapci, Alper Tekeli and Meral Beksac
Saudi Medical Journal July 2006, 27 (7) 967-974;
Arif S. Orsal
Department of Microbiology and Clinical Microbiology, Ankara University School of Medicine, Ibn-i Sina Hospital, Ankara, Turkey.
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Murat Ozsan
Department of Microbiology and Clinical Microbiology, Ankara University School of Medicine, Ibn-i Sina Hospital, Ankara, Turkey.
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Istar Dolapci
Ankara Universitesi Tip Fakultesi, Mikrobiyoloji ve Klinik Mikrobiyoloji ABD, Morfoloji Binasi 3. kat 06100, Sihhiye, Ankara, Turkey. Tel. +90 (312) 3103010 Ext. 277. Fax. +90 (312) 3106370. E-mail: [email protected]
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  • For correspondence: [email protected]
Alper Tekeli
Department of Microbiology and Clinical Microbiology, Ankara University School of Medicine, Ibn-i Sina Hospital, Ankara, Turkey.
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Meral Beksac
Department of Bone Marrow Transplantation, Hematology Unit, Ankara University School of Medicine, Ibn-i Sina Hospital, Ankara, Turkey.
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Abstract

OBJECTIVE: Human cytomegalovirus (CMV) is a life threatening cause of infection among hematopoietic stem cell recipients. Developing reliable methods in detecting the CMV infection is important to identify the patients at risk of CMV infection and disease. The aim of this study was to compare the 2 tests- hybrid capture test, which is routinely used in the diagnosis of CMV infection among hematopoietic stem cell recipients, and reverse transcriptase polymerase chain reaction (RT-PCR) detecting UL21.5 mRNA transcripts of the active virus.

METHODS: In this prospective study, a total of 178 blood samples obtained from 35 patients following allogeneic hematopoietic stem cell transplantation at the Bone Marrow Transplantation Unit of the Hematology Department, Ibn-i Sina Hospital of Ankara University School of Medicine, Turkey between January 2003 and September 2003 were analyzed. Hybrid capture and RT-PCR using UL21.5 gene transcript method to investigate HCMV in blood samples were performed at the Department of Microbiology and Clinic Microbiology Ankara University School of Medicine, Turkey.

RESULTS: When hybrid capture test was accepted as the golden standard, the sensitivity of RT-PCR was 33%, specificity 100%, false negativity 67%, false positivity 0%, positive predictive value 100%, negative predictive value 74%, and accuracy was 77%.

CONCLUSION: Improving this test by quantification, and application of additional gene transcripts, primarily the late gene transcripts can help increase the sensitivity and feasibility.

  • Copyright: © Saudi Medical Journal

This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Saudi Medical Journal: 27 (7)
Saudi Medical Journal
Vol. 27, Issue 7
1 Jul 2006
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Comparison of hybrid capture and reverse transcriptase polymerase chain reaction methods in terms of diagnosing human cytomegalovirus infection in patients following hematopoietic stem cell transplantation
Arif S. Orsal, Murat Ozsan, Istar Dolapci, Alper Tekeli, Meral Beksac
Saudi Medical Journal Jul 2006, 27 (7) 967-974;

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Comparison of hybrid capture and reverse transcriptase polymerase chain reaction methods in terms of diagnosing human cytomegalovirus infection in patients following hematopoietic stem cell transplantation
Arif S. Orsal, Murat Ozsan, Istar Dolapci, Alper Tekeli, Meral Beksac
Saudi Medical Journal Jul 2006, 27 (7) 967-974;
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© 2025 Saudi Medical Journal Saudi Medical Journal is copyright under the Berne Convention and the International Copyright Convention.  Saudi Medical Journal is an Open Access journal and articles published are distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC). Readers may copy, distribute, and display the work for non-commercial purposes with the proper citation of the original work. Electronic ISSN 1658-3175. Print ISSN 0379-5284.

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