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Malignant transformation in polyneuropathy associated with monoclonal gammopathy.

AbstractOBJECTIVE:
To assess the frequency of hematologic malignancies at diagnosis and to determine the incidence and predictors of malignant transformation during follow-up in patients with polyneuropathy associated with monoclonal gammopathy.
METHODS:
Potential predictors of malignant transformation from medical history, hematologic, neurologic, and laboratory examination performed each 6 months were evaluated by univariable and multivariable Cox proportional hazard analysis.
RESULTS:
Of 193 patients with polyneuropathy associated with monoclonal gammopathy, 17 patients had a hematologic malignancy at diagnosis. The incidence rate of malignant transformation in 176 patients without a malignancy at diagnosis was 2.7/100 patient years. Weight loss, progression of the polyneuropathy, unexplained fever or night sweats, and M-protein level were independent predictors.
CONCLUSIONS:
Since hematologic malignancies occur frequently in polyneuropathy associated with monoclonal gammopathy, the authors suggest that all patients should be screened at diagnosis and subsequently during follow-up if malignant transformation is suspected.
AuthorsM Eurelings, H M Lokhorst, S Kalmijn, J H J Wokke, N C Notermans
JournalNeurology (Neurology) Vol. 64 Issue 12 Pg. 2079-84 (Jun 28 2005) ISSN: 1526-632X [Electronic] United States
PMID15985576 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Connectin
  • Muscle Proteins
Topics
  • Aged
  • Cell Transformation, Neoplastic (immunology)
  • Cohort Studies
  • Connectin
  • Disease Progression
  • Female
  • Fever (immunology, physiopathology)
  • Follow-Up Studies
  • Hematologic Neoplasms (diagnosis, epidemiology, immunology)
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Muscle Proteins (blood, immunology)
  • Netherlands (epidemiology)
  • Paraproteinemias (complications, epidemiology, immunology)
  • Polyneuropathies (complications, epidemiology, immunology)
  • Predictive Value of Tests
  • Weight Loss (immunology)

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