Computed tomography-defined sarcopenia: prognostic predictor of nonrelapse mortality after allogeneic hematopoietic stem cell transplantation: a multicenter retrospective study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-05-25

AUTHORS

Taiki Ando, Shin Fujisawa, Haruka Teshigawara, Ayako Matsumura, Takayuki Sakuma, Taisei Suzuki, Hiroshi Teranaka, Eriko Ogusa, Yoshimi Ishii, Kazuho Miyashita, Hiroyuki Takahashi, Yuki Nakajima, Takuya Miyazaki, Maki Hagihara, Kenji Matsumoto, Etsuko Yamazaki, Hideaki Nakajima

ABSTRACT

We analyzed clinical cutoffs for defining computed tomography (CT) methods for sarcopenia and examined the prognostic value of CT for allogeneic hematopoietic stem cell transplantation (allo-HCST) outcomes of patients with myeloid malignancy. One hundred twenty-five adult patients with acute myeloid leukemia and myelodysplastic syndrome who underwent first allo-HSCT between 2000 and 2017 were included. Sarcopenia was assessed using CT-based skeletal muscle index (SMI) and mean muscle attenuation at L3. A statistical difference in SMI was confirmed between sarcopenia (n = 52) and nonsarcopenia (n = 73) patients. There were no significant correlations of muscularity with age, performance status, or other characteristics of HSCT. After 2 years, overall survival (OS) was 43.5% and 70.1%, disease-free survival was 52.9% and 68.6%, nonrelapse mortality (NRM) was 20.8% and 8.4%, incidence of acute GVHD (≥ grade 2) was 38.8% and 39.1%, that of chronic GVHD was 53.2% and 37.3%, and median duration of hospitalization was 88 days and 74 days (P = 0.026), respectively, in the sarcopenia and nonsarcopenia groups. Multivariate analysis showed that presence of sarcopenia is a novel adverse factor for high NRM and poor OS. Pretransplant CT-defined sarcopenia is correlated with decreased OS, increased NRM, and prolonged hospitalization. More... »

PAGES

46-56

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12185-020-02870-5

DOI

http://dx.doi.org/10.1007/s12185-020-02870-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1127881250

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32451786


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