Impact of patient demographics on treatment outcomes in AML: a population-based registry in England, 2013-2020.
Hanhua LiuSimon J StanworthSean McPhailMark BishtonBrian Rous RousAndrew BaconThomas CoatsPublished in: Blood advances (2024)
We report 1- and 5-year survival after acute myeloid leukemia (AML) diagnosis and early mortality within 30 days of systemic anticancer therapy (SACT) treatments, using national cancer registry data in England. Patients aged 18 to 99 years diagnosed between 2013 and 2020 were included. Overall survival (OS) was calculated using Kaplan-Meier methodology, and adjusted hazard ratios (aHRs; adjusted for intensity of treatment, age at diagnosis, sex, ethnicity, socioeconomic deprivation, comorbidity, and year of diagnosis) using Cox proportional hazards regression. Odds of 30-day mortality (adjusted odds ratios [aORs], adjusted for aforementioned characteristics), along with performance status and body mass index, were calculated using logistic regression. Among 17 107 patients identified, older age and comorbidity were associated with worse survival. Asian and Black patients had better survival than White patients: 5-year OS of 34.6%, 29.7%, and 17.8%, respectively; aHR of 0.86; (95% confidence interval [CI], 0.77-0.96) Asian vs White, and 0.84 (95% CI, 0.73-0.96) Black vs White. Socioeconomic deprivation was associated with worse survival. Overall, 7906 (46.2%) patients were documented as having received SACT. Thirty-day mortality was lower for patients receiving intensive rather than nonintensive SACT. After adjustment for cofactors, the risk was higher in those treated intensively (aOR, 0.74; 95% CI, 0.60-0.92). We show that ethnicity and socioeconomic status affects outcomes in AML. Further work is needed to understand how these effects may differ in different health care settings, and whether this because of effects on disease biology, responsiveness to treatment, or drug toxicity. Selection of intensive vs nonintensive treatment should be based on individual patient factors, balancing improved long-term survival against higher early mortality.
Keyphrases
- acute myeloid leukemia
- end stage renal disease
- newly diagnosed
- ejection fraction
- healthcare
- body mass index
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- type diabetes
- coronary artery disease
- cardiovascular disease
- stem cells
- emergency department
- adipose tissue
- acute lymphoblastic leukemia
- free survival
- high intensity
- adverse drug
- deep learning
- data analysis
- weight loss
- social media
- allogeneic hematopoietic stem cell transplantation
- middle aged
- skeletal muscle