View in EDS

Bone marrow biopsy diagnostic yield in internal medicine.

Saved in:
Bibliographic Details
Title: Bone marrow biopsy diagnostic yield in internal medicine.
Authors: Martellosio, Jean-Philippe1 (AUTHOR) jp.martellosio@gmail.com, Puyade, Mathieu1 (AUTHOR), Debiais, Céline2 (AUTHOR), Elsendoorn, Antoine3 (AUTHOR), Souchaud-Debouverie, Odile1 (AUTHOR), Landron, Cédric1 (AUTHOR), Luca, Luminita1 (AUTHOR), Roy-Peaud, Frédérique1 (AUTHOR), Milin, Serge2 (AUTHOR), Roblot, Pascal1,4 (AUTHOR), Martin, Mickaël1,4 (AUTHOR)
Source: Postgraduate Medicine. Jan2021, Vol. 133 Issue 1, p89-95. 7p.
Subject Terms: Internal medicine, Bone marrow, Diagnosis, Myelodysplastic syndromes, Biopsy, Gold standard, Rice quality
Geographic Terms: Poitiers (France)
Abstract: Trephine bone marrow biopsy (BMB) in internal medicine has only been studied in fever of unknown origin and inflammation of unknown origin. The aim was to assess BMB diagnostic yield according to main indications and patient characteristics in internal medicine. Quality of BMB and contribution of bone marrow aspiration (BMA) to BMB were also analyzed. BMB performed in the internal medicine department of Poitiers university hospital between January 2000 and December 2015 were retrospectively analyzed. Patient characteristics, BMB indications, quality parameters, and results were collected from medical records. Contributive BMB was BMB allowing accurate final diagnosis. Diagnostic yield was the proportion of contributive BMB among total BMB performed. A total of 468 BMBs conducted for primary diagnostic purpose from 468 patients were analyzed. Cytopenia(s) and the indication 'adenopathy and/or splenomegaly and/or hepatomegaly' represented 70% of the indications. Overall BMB diagnostic yield was 32.7%, lymphoma being the main histologic finding (31%). Among indications, cytopenia(s) had the highest diagnostic yield (49.1%). Isolated fever of unknown origin had low diagnostic yield (5.6%). Factors independently associated with contributive BMB were: anemia, neutropenia, circulating immature granulocytes or blasts, monoclonal gammopathy, period of BMB processing, quality of BMB, and immunohistochemestry (IHC) analysis. Concomitant BMA improved diagnostic yield by 5.5%, mostly for myelodysplastic syndromes. Cytopenia(s), blood cythemias and monoclonal gammopathy are indications with the highest diagnostic yield. Concomitant BMA and IHC analysis should be systematically performed to increase BMB diagnostic yield in internal medicine. [ABSTRACT FROM AUTHOR]
Copyright of Postgraduate Medicine is the property of Taylor & Francis Ltd 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.)
Database: Education Research Complete
FullText Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 148040364
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Bone marrow biopsy diagnostic yield in internal medicine.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Martellosio%2C+Jean-Philippe%22">Martellosio, Jean-Philippe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jp.martellosio@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Puyade%2C+Mathieu%22">Puyade, Mathieu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Debiais%2C+Céline%22">Debiais, Céline</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Elsendoorn%2C+Antoine%22">Elsendoorn, Antoine</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Souchaud-Debouverie%2C+Odile%22">Souchaud-Debouverie, Odile</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Landron%2C+Cédric%22">Landron, Cédric</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luca%2C+Luminita%22">Luca, Luminita</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Roy-Peaud%2C+Frédérique%22">Roy-Peaud, Frédérique</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Milin%2C+Serge%22">Milin, Serge</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Roblot%2C+Pascal%22">Roblot, Pascal</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martin%2C+Mickaël%22">Martin, Mickaël</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Postgraduate+Medicine%22">Postgraduate Medicine</searchLink>. Jan2021, Vol. 133 Issue 1, p89-95. 7p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Internal+medicine%22">Internal medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Bone+marrow%22">Bone marrow</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Myelodysplastic+syndromes%22">Myelodysplastic syndromes</searchLink><br /><searchLink fieldCode="DE" term="%22Biopsy%22">Biopsy</searchLink><br /><searchLink fieldCode="DE" term="%22Gold+standard%22">Gold standard</searchLink><br /><searchLink fieldCode="DE" term="%22Rice+quality%22">Rice quality</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Poitiers+%28France%29%22">Poitiers (France)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Trephine bone marrow biopsy (BMB) in internal medicine has only been studied in fever of unknown origin and inflammation of unknown origin. The aim was to assess BMB diagnostic yield according to main indications and patient characteristics in internal medicine. Quality of BMB and contribution of bone marrow aspiration (BMA) to BMB were also analyzed. BMB performed in the internal medicine department of Poitiers university hospital between January 2000 and December 2015 were retrospectively analyzed. Patient characteristics, BMB indications, quality parameters, and results were collected from medical records. Contributive BMB was BMB allowing accurate final diagnosis. Diagnostic yield was the proportion of contributive BMB among total BMB performed. A total of 468 BMBs conducted for primary diagnostic purpose from 468 patients were analyzed. Cytopenia(s) and the indication 'adenopathy and/or splenomegaly and/or hepatomegaly' represented 70% of the indications. Overall BMB diagnostic yield was 32.7%, lymphoma being the main histologic finding (31%). Among indications, cytopenia(s) had the highest diagnostic yield (49.1%). Isolated fever of unknown origin had low diagnostic yield (5.6%). Factors independently associated with contributive BMB were: anemia, neutropenia, circulating immature granulocytes or blasts, monoclonal gammopathy, period of BMB processing, quality of BMB, and immunohistochemestry (IHC) analysis. Concomitant BMA improved diagnostic yield by 5.5%, mostly for myelodysplastic syndromes. Cytopenia(s), blood cythemias and monoclonal gammopathy are indications with the highest diagnostic yield. Concomitant BMA and IHC analysis should be systematically performed to increase BMB diagnostic yield in internal medicine. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Postgraduate Medicine is the property of Taylor & Francis Ltd 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.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=148040364
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00325481.2020.1835118
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 89
    Subjects:
      – SubjectFull: Internal medicine
        Type: general
      – SubjectFull: Bone marrow
        Type: general
      – SubjectFull: Diagnosis
        Type: general
      – SubjectFull: Myelodysplastic syndromes
        Type: general
      – SubjectFull: Biopsy
        Type: general
      – SubjectFull: Gold standard
        Type: general
      – SubjectFull: Rice quality
        Type: general
      – SubjectFull: Poitiers (France)
        Type: general
    Titles:
      – TitleFull: Bone marrow biopsy diagnostic yield in internal medicine.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Martellosio, Jean-Philippe
      – PersonEntity:
          Name:
            NameFull: Puyade, Mathieu
      – PersonEntity:
          Name:
            NameFull: Debiais, Céline
      – PersonEntity:
          Name:
            NameFull: Elsendoorn, Antoine
      – PersonEntity:
          Name:
            NameFull: Souchaud-Debouverie, Odile
      – PersonEntity:
          Name:
            NameFull: Landron, Cédric
      – PersonEntity:
          Name:
            NameFull: Luca, Luminita
      – PersonEntity:
          Name:
            NameFull: Roy-Peaud, Frédérique
      – PersonEntity:
          Name:
            NameFull: Milin, Serge
      – PersonEntity:
          Name:
            NameFull: Roblot, Pascal
      – PersonEntity:
          Name:
            NameFull: Martin, Mickaël
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 00325481
          Numbering:
            – Type: volume
              Value: 133
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Postgraduate Medicine
              Type: main
ResultId 1