Evidence map›Paper›PMID 41439271›Full record

ArticleAmerican heart journal plus : cardiology research and practice2026

Patterns and predictors of palliative care use in acute heart failure hospitalizations.

Aimen Shafiq, Ali Salman, Sadia Akram, Muhammad Rizwan Farooq, Qais Bin Abdul Ghaffar, Anam Ijaz, Abdullah Imtiaz, Humna Irshad, Aroon Kumar, Muhammad Faisal Riaz and 5 more

Abstract read
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Article in American heart journal plus : cardiology research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Aimen ShafiqDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Ali SalmanDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Sadia AkramDepartment of Medicine, Jinnah Sindh Medical University, Karachi, Pakistan.
Muhammad Rizwan FarooqDepartment of Medicine, University of Health Sciences Lahore, Lahore, Pakistan.
Qais Bin Abdul GhaffarDepartment of Medicine, Dow International Medical College, Karachi, Pakistan.
Anam IjazDepartment of Medicine, King Edward Medical University, Lahore, Pakistan.
Abdullah ImtiazDepartment of Medicine, Jinnah Sindh Medical University, Karachi, Pakistan.
Humna IrshadDepartment of Medicine, Continental Medical College, Lahore, Pakistan.
Aroon KumarDepartment of Medicine, Liaquat University of Medical and Health Sciences, Jamshoro, Pakistan.
Muhammad Faisal RiazDepartment of Medicine, Rawalpindi Medical University, Rawalpindi, Pakistan.
Saman RaufDepartment of Medicine, Fatima Jinnah Medical University, Lahore, Pakistan.
Usman SarwarDepartment of Medicine, Sahiwal Medical College, Sahiwal, Pakistan.
Kaneez FatimaDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Ali HasanNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Raheel AhmedNational Heart and Lung Institute, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Acute decompensated heart failureNational Inpatient SamplePalliative care use

Identifiers

PMID41439271
PMCPMC12720124

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.