Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
International Journal of Hematology 2018-Dec

Clinical significance of cancer-related fatigue in multiple myeloma patients.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Kazuhito Suzuki
Nobuyuki Kobayashi
Yoji Ogasawara
Takaki Shimada
Yuichi Yahagi
Katsuki Sugiyama
Shinobu Takahara
Takeshi Saito
Jiro Minami
Hiroki Yokoyama

Palavras-chave

Resumo

Cancer-related fatigue (CRF) is one of the adverse events in multiple myeloma (MM) patients treated with cytotoxic agents, proteasome inhibitors (PIs), and immunomodulatory drugs (IMiDs) such as bortezomib, lenalidomide, and thalidomide. The aims of our study were to prospectively analyze the clinical significance of CRF, and to evaluate the cumulative incidence of CRF and the survival rates of 16 MM patients who were treated with PIs and IMiDs. Reactivation of salivary human herpes virus (HHV)-6 and HHV-7 was analyzed using real-time quantitative polymerase chain reaction (qPCR). CRF was evaluated using a visual analog scale (VAS). Eleven newly diagnosed multiple myeloma (NDMM) and five relapsed or refractory MM patients were enrolled in this study. The cumulative incidence of CRF was 54.9%. The treatment types were not associated with the CRF incidence. The cumulative incidence of reactivation of HHV-6 and HHV-7 was 73.1% and 45.6%, respectively. However, the reactivation of HHV-6 and HHV-7 was not related to CRF. The overall survival (OS) and progression-free survival (PFS) in NDMM patients with CRF was significantly shorter than in those without CRF. In conclusion, CRF was one of the major symptoms in MM patients, and predicted shorter OS and PFS in NDMM patients.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge