The Changing Landscape of Geriatric Care in Acute Myeloid Leukemia: A 5-year Analysis of Inpatient Mortality Predictors, Trends in Mortality, and chemotherapy use.
Division
North Florida
Hospital
North Florida Regional Medical Center
Document Type
Manuscript
Publication Date
7-29-2024
Keywords
Acute myeloid leukemia, National Inpatient Sample, comorbidities, geriatrics, inpatient chemotherapy, inpatient mortality
Disciplines
Hemic and Lymphatic Diseases | Internal Medicine | Medicine and Health Sciences | Neoplasms
Abstract
BACKGROUND: This study examined inpatient mortality factors in geriatric patients with acute myeloid leukemia (AML) using data from the 2016 to 2020 National Inpatient Sample.
METHODS: Identifying patients through ICD-10 codes, a total of 127,985 individuals with AML were classified into age categories as follows: 50.58% were 65 to 74 years, 37.74% were 75 to 84 years, and 11.68% were 85 years or older. Statistical analysis, conducted with STATA, involved Fisher's exact and Student's
RESULTS: Various hospital and patient-level factors, including an increase in age, race, a higher Charlson Comorbidity Index score, insurance status, and specific comorbidities such as atrial fibrillation and protein-calorie malnutrition, independently elevated the risk of inpatient mortality. Asthma, hyperlipidemia, and inpatient chemotherapy were linked to lower mortality. Although there was no statistically significant mortality rate change from 2016 to 2020, a decline in chemotherapy use in the eldest age group was noted.
CONCLUSION: This study highlights the complexity of factors influencing inpatient mortality among geriatric patients with AML, emphasizing the need for personalized clinical approaches in this vulnerable population.
Publisher or Conference
Baylor University Medical Center Proceedings
Recommended Citation
Bodla ZH, Hashmi M, Niaz F, et al. The changing landscape of geriatric care in acute myeloid leukemia: a 5-year analysis of inpatient mortality predictors, trends in mortality, and chemotherapy use. Proc (Bayl Univ Med Cent). 2024;37(5):813-821. Published 2024 Jul 29. doi:10.1080/08998280.2024.2381174