Your browser doesn't support javascript.
loading
Trajectories of physical well-being among adults with acute myeloid leukemia.
Jensen-Battaglia, Marielle; Sohn, Michael B; Consagra, William; Wang, Ying; Zhang, Zhihong; LoCastro, Marissa; Davis, Jenae; Buettner, Katheryn; Mortaz, Soroush; El-Jawahri, Areej R; Loh, Kah Poh.
Affiliation
  • Jensen-Battaglia M; James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY.
  • Sohn MB; Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY.
  • Consagra W; Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY.
  • Wang Y; Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
  • Zhang Z; James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY.
  • LoCastro M; Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY.
  • Davis J; University of Rochester School of Nursing, Rochester, NY.
  • Buettner K; James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY.
  • Mortaz S; James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY.
  • El-Jawahri AR; James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY.
  • Loh KP; James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY.
Blood Adv ; 8(11): 2612-2621, 2024 Jun 11.
Article in En | MEDLINE | ID: mdl-38429079
ABSTRACT
ABSTRACT Patients with acute myeloid leukemia (AML) often undergo physical decline leading to negative outcomes. Identification of distinct trajectories may help guide clinical decision-making and supportive care interventions. We built group-based trajectory models (GBTM) to find trajectories of change in the Functional Assessment of Cancer Therapy Physical Well-Being (FACT-PWB) subscale (up to 5 time points over 0 to 200 days of follow-up) using data from adults with newly diagnosed AML in 4 supportive care studies. We also estimated the association of baseline characteristics (age, marital status, education, AML risk, baseline FACT-PWB, depression, and anxiety) with group membership. Among 343 patients with ≥2 FACT-PWB scores, mean age was 69.6 years (standard deviation, 12.1); most had intermediate-risk AML (n = 178 [51.8%]), received intensive treatment (n = 244 [71.1%]), and died during follow-up (n = 199 [58.0%]). The GBTM with 4 distinct trajectories showed the best fit. The largest group (n = 153 [45.0%]) showed slight improvement, whereas the smallest (n = 8 [2.4%]) experienced early decline with later improvement. Baseline FACT-PWB was the only characteristic statistically significantly associated with group membership. Adults with AML show distinct trajectories of physical well-being, and many experience some decline. Exploring trajectories of self-reported and objective physical function may inform decision-making and interventions. These trials were registered at www.ClinicalTrials.gov as #NCT02975869, #NCT03310918, and #NCT03372291.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Leukemia, Myeloid, Acute Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Blood Adv Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Main subject: Leukemia, Myeloid, Acute Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Blood Adv Year: 2024 Type: Article