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Updated: Jan 8, 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
Patterns and predictors of palliative care use in acute heart failure hospitalizations
Aimen Shafiq1, Ali Salman1, Sadia Akram2
1Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Background:
Palliative care consultation (PCC) in acute decompensated heart failure (ADHF) may enhance care quality and align treatment with patient goals. However, national trends and predictors of PCC in ADHF remain poorly defined.
Methods:
We used the National Inpatient Sample (2018-2020) to identify hospitalizations for adults (≥18 years) with a primary diagnosis of ADHF using ICD-10-CM codes. PCC was defined by ICD-10-CM code Z51.5. Multivariable survey-weighted logistic regression identified predictors of PCC use, adjusting for demographics, socioeconomic status, comorbidities, and hospital factors.
Results:
Among 3,655,265 hospitalizations, older age was associated with higher odds of PCC (aOR 1.05 per year; 95 % CI, 1.05-1.05). Compared to White individuals, odds of PCC were lower for Asian or Pacific Islander (aOR 0.74), Black (aOR 0.83), and Hispanic individuals (aOR 0.76). Medicare patients had lower odds than those with Medicaid (aOR 0.72). The highest income quartile was associated with greater PCC use (aOR 1.18). PCC was less common in the Northeast (aOR 0.88), South (aOR 0.93), and West (aOR 0.91) compared to the Midwest. Urban teaching hospitals had higher PCC rates than rural hospitals (aOR 1.48). Patients with greater comorbidity and higher mortality risk were more likely to receive PCC.
Conclusion:
PCC use in ADHF is influenced by demographic, socioeconomic, clinical, and institutional factors. Racial, regional, and hospital-level disparities suggest a need for interventions to promote equitable access to palliative care for patients with ADHF.
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