{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T00:16:22Z","timestamp":1783124182738,"version":"3.54.6"},"reference-count":11,"publisher":"SAGE Publications","issue":"9","license":[{"start":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T00:00:00Z","timestamp":1750723200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Am J Hosp Palliat Care"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:p>\n                    <jats:bold>Purpose:<\/jats:bold>\n                    Acute myeloid leukemia (AML) is a high-mortality hematologic malignancy, particularly in older adults. Early palliative care (PC) improves symptom control, quality of life, and outcomes, yet disparities in utilization persist. This study evaluated trends in inpatient PC use among AML patients and associations with mortality, costs, and complications.\n                    <jats:bold>Patients and Methods:<\/jats:bold>\n                    A retrospective cohort analysis was conducted using the 2019-2021 National Inpatient Sample. AML cases were identified via ICD-10 codes and stratified by PC use. The primary outcome was inpatient mortality; secondary outcomes included length of stay (LOS), costs, and complications. Analyses included t-tests, chi-square tests, and logistic regression adjusted for demographic, socioeconomic, and hospital-level factors.\n                    <jats:bold>Results:<\/jats:bold>\n                    Among 2\u00a020\u00a0790 AML hospitalizations, 27\u00a0540 (12.4%) involved PC. PC recipients were older (67.4 vs 58.7\u00a0years,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01) and more often White (75.3% vs 70.7%,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01). PC use was lower among Black (OR 0.90,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    = .05), Hispanic (OR 0.70,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01), and Asian (OR 0.77,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01) patients. Utilization was highest in urban teaching hospitals (89.2%,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01) and Medicare beneficiaries (OR 1.87,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01). PC use was associated with higher mortality (37.4% vs 4.4%, OR 11.74,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01), longer LOS (12.9 vs 12.3\u00a0days,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01), increased costs ($214,915 vs $174,193,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01), and more complications (all\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; .01).\n                    <jats:bold>Conclusion:<\/jats:bold>\n                    PC utilization in AML is associated with poorer clinical metrics, likely reflecting late-stage intervention. Earlier PC integration and addressing disparities are urgently needed to improve equity, outcomes, and resource use in AML care.\n                  <\/jats:p>","DOI":"10.1177\/10499091251353759","type":"journal-article","created":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T08:37:53Z","timestamp":1750754273000},"page":"948-952","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Nationwide Trends and Disparities in End-of-Life Care for Acute Myeloid Leukemia: A 2019\u20132021 NIS Analysis of Palliative Care Utilization and Hospitalization Costs"],"prefix":"10.1177","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8767-4870","authenticated-orcid":false,"given":"Nandhini","family":"Iyer","sequence":"first","affiliation":[{"name":"Loyola University Health System-MacNeal Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4607-7437","authenticated-orcid":false,"given":"Krishna","family":"Doshi","sequence":"additional","affiliation":[{"name":"Loyola University Health System-MacNeal Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6873-1021","authenticated-orcid":false,"given":"Sripada Preetham","family":"Kasire","sequence":"additional","affiliation":[{"name":"Jacobi Medical Center\/North Central Bronx Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandeep","family":"Guntuku","sequence":"additional","affiliation":[{"name":"Mamta Medical College"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob","family":"Bitran","sequence":"additional","affiliation":[{"name":"Advocate Lutheran General Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,6,24]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14030478"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1182\/asheducation-2015.1.471"},{"key":"e_1_3_3_4_2","unstructured":"American Cancer Society. Key statistics for acute myeloid leukemia (AML). https:\/\/www.cancer.org\/cancer\/types\/acute-myeloid-leukemia\/about\/key-statistics.html. Accessed April 16 2025."},{"key":"e_1_3_3_5_2","unstructured":"Agency for Healthcare Research and Quality. HCUP-US NIS overview. https:\/\/hcup-us.ahrq.gov\/nisoverview.jsp. Accessed March 19 2025."},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.annonc.2024.08.1563"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1089\/jpm.2018.0152"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1182\/bloodadvances.2018023051"},{"key":"e_1_3_3_9_2","unstructured":"Fred Hutchinson Cancer Center. Health disparities may affect end-of-life experiences of minority blood cancer patients. https:\/\/www.fredhutch.org\/en\/news\/center-news\/2017\/12\/racial-disparities-blood-cancer-end-of-life.html. Accessed March 20 2025."},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2020.6343"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.nurpra.2023.104816"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1089\/jpm.2021.0249"}],"container-title":["American Journal of Hospice and Palliative Medicine\u00ae"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10499091251353759","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/10499091251353759","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10499091251353759","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T23:21:25Z","timestamp":1783120885000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/10499091251353759"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,24]]},"references-count":11,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["10.1177\/10499091251353759"],"URL":"https:\/\/doi.org\/10.1177\/10499091251353759","relation":{},"ISSN":["1049-9091","1938-2715"],"issn-type":[{"value":"1049-9091","type":"print"},{"value":"1938-2715","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,24]]}}}