Literature DB >> 33040667

Bone marrow biopsy diagnostic yield in internal medicine.

Jean-Philippe Martellosio1, Mathieu Puyade1, Céline Debiais2, Antoine Elsendoorn3, Odile Souchaud-Debouverie1, Cédric Landron1, Luminita Luca1, Frédérique Roy-Peaud1, Serge Milin2, Pascal Roblot1,4, Mickaël Martin1,4.   

Abstract

BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSION: 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.

Entities:  

Keywords:  Bone marrow biopsy; diagnostic yield; internal medicine

Year:  2020        PMID: 33040667     DOI: 10.1080/00325481.2020.1835118

Source DB:  PubMed          Journal:  Postgrad Med        ISSN: 0032-5481            Impact factor:   3.840


  1 in total

1.  Prediction Model of Bone Marrow Infiltration in Patients with Malignant Lymphoma Based on Logistic Regression and XGBoost Algorithm.

Authors:  Yongfen Huang; Can Chen; Yuqing Miao
Journal:  Comput Math Methods Med       Date:  2022-06-28       Impact factor: 2.809

  1 in total

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