Related Experiment Video
Updated: Feb 11, 2026

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Risk factors for length of stay and charge per day differ between older and younger hospitalized patients with AML
Anita J Kumar1,2, Tobi Henzer1, Angie Mae Rodday1
1Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts.
Insights
Healthcare utilization for acute myeloid leukemia (AML) patients varies by age. Factors like chronic conditions and race influence length of stay and costs, necessitating tailored interventions for younger and older AML patients.
Area of Science:
- Hematology
- Health Services Research
- Epidemiology
Background:
- Acute myeloid leukemia (AML) is a significant cause of hospitalization.
- Understanding healthcare utilization patterns is crucial for resource allocation and patient management.
Purpose of the Study:
- To evaluate factors associated with length of stay (LOS) and charge per day (CPD) for hospitalized patients with AML.
- To compare these factors between younger (<60 years) and older (≥60 years) patient groups.
Main Methods:
- Analysis of the 2012 Healthcare Cost and Utilization Project Nationwide Inpatient Sample (HCUP-NIS) database.
- Identification of patients with ICD-9-CM codes for AML or myeloid sarcoma.
- Multivariable negative binomial regression models to assess predictors of LOS and CPD, stratified by age.
Main Results:
- Overall LOS was longer in younger patients (6.8 days) compared to older patients (5.4 days).
- In younger patients, longer LOS was linked to more chronic conditions, Black race, and chemotherapy; shorter LOS was associated with older age and Medicare.
- In older patients, longer LOS was associated with chronic conditions and Asian race; shorter LOS with higher income and hospital type. CPD varied significantly by age group, race, insurance, and geography.
Conclusions:
- Predictors of healthcare utilization in hospitalized AML patients differ significantly between younger and older age groups.
- These findings highlight the need for age-specific strategies to optimize care and manage costs for AML patients.
- Further research should integrate clinical outcomes with utilization data to inform treatment and resource management.
Abstract:
Acute myeloid leukemia (AML) is associated with frequent hospitalizations. We evaluated factors associated with length of stay (LOS) and charge per day (CPD) for admissions in older (≥60 years) and younger patients (<60 years). We identified patients with ICD-9-CM codes for AML or myeloid sarcoma in the 2012 HCUP-NIS. In separate models based on age, we examined patient (sex, race, income, insurance payer, chronic conditions, chemotherapy administration, death) and hospital (type, geography) characteristics. Multivariable negative binomial regression estimated factor effects on LOS and CPD using rate ratios, with HCUP-NIS weights. In 43,820 discharges, LOS was longer in patients <60 than ≥60 (6.8 vs. 5.4 days). For patients <60, longer LOS was seen with more chronic conditions (RR = 1.10), Black race (RR = 1.16), chemotherapy (RR = 2.27), and geography; shorter LOS was associated with older age (RR = 0.93), Medicare (RR = 0.83), and hospital type. For patients ≥60, longer LOS associated with chronic conditions (RR = 1.07) and Asian race (RR = 1.33). Shorter LOS associated with older age (RR = 0.86), higher income (RR = 0.93), and hospital type. For patients <60, higher CPD associated with chronic conditions (RR = 1.05), death (RR = 1.93), and geography; lower CPD associated with increasing age (RR = 0.96), Medicaid (RR = 0.93), and rural hospitals (RR = 0.65). For patients ≥60, higher CPD associated with Medicare (RR = 1.05), more chronic conditions (RR = 1.02), younger age (RR = 1.1), west geography (RR = 1.37), death (RR = 1.45), and Hispanic race (RR = 1.15). We identify predictors for increased healthcare utilization in hospitalized patients with AML, which differ within age groups. Future efforts are needed to link utilization outcomes with clinical treatments and response.
More Related Videos
10:11Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies
Published on: October 22, 2014
19:15Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Related Concept Videos
Factors Affecting the Risk of Infection
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
Hospitals-II
Nurses that work in...
Hospitals-I
Factors Affecting Protein-Drug Binding: Patient-Related Factors
Age stands as a key determinant in protein-drug binding. Neonates, characterized by low albumin content, experience heightened concentrations of unbound drugs such as phenytoin and...
Formal Charges
Atomic Radii and Effective Nuclear Charge