{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T08:48:46Z","timestamp":1790066926400,"version":"4.0.1"},"reference-count":56,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"3","content-domain":{"domain":["ascopubs.org"],"crossmark-restriction":true},"short-container-title":["JCO Clin Cancer Inform"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:sec>\n                    <jats:title>PURPOSE<\/jats:title>\n                    <jats:p>AML is a highly aggressive hematologic cancer. During induction chemotherapy, up to 40% of patients experience complications resulting in unplanned readmissions or early death. This study aimed to identify the reasons for postinduction unplanned readmissions and to develop predictive models for unplanned readmissions or early death using structured and unstructured electronic health record (EHR) data to identify patients at highest risk.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>We retrospectively analyzed 1,111 inpatient encounters from 305 adult patients with AML treated at a Midwestern university hospital between 2006 and 2021. Inclusion criterion was adults with AML undergoing induction chemotherapy; exclusion criteria included acute promyelocytic leukemia, stem cell transplant recipients, and confirmed chronic myeloid leukemia. Adverse events\u2014unplanned readmissions or mortality within 30 days of discharge from the initial induction hospitalization\u2014were identified through chart review using predefined rules. Multiple logistic regression was used to identify risk factors. Variable selection was performed using the least absolute shrinkage and selection operator.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Within 30 days postdischarge, 22% of patients experienced an unplanned readmission. The most frequent reasons were fever\/infection (53.5%), metabolic\/GI\/renal complications (16.2%), and pain\/discomfort (14.1%). Mortality within 30 days was 22%. Predictive performance improved when comorbidities and symptom frequency from clinical notes were added (AUC increased from 0.67 to 0.74). Statistically significant predictors of increased adverse event risk included solid neoplasm (odds ratio [OR], 2.34), higher cardiopulmonary symptom burden per day (OR, 1.16), and a chemotherapy intensity moderated by age (OR, 0.90).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSION<\/jats:title>\n                    <jats:p>Unplanned readmissions or early mortality occurred in 39.7% of patients with AML within 30 days postdischarge. Integrated risk stratification tools leveraging structured and unstructured EHR data may inform timely interventions to improve survival and reduce avoidable hospitalizations.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1200\/cci-26-00018","type":"journal-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T20:00:12Z","timestamp":1786564812000},"update-policy":"https:\/\/doi.org\/10.1200\/crossmark","source":"Crossref","is-referenced-by-count":1,"title":["Early Unplanned Readmissions and Mortality After Induction Chemotherapy in AML"],"prefix":"10.1200","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9136-6176","authenticated-orcid":true,"given":"Sena","family":"Chae","sequence":"first","affiliation":[{"name":"College of Nursing, University of Iowa, Iowa City, IA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5907-6809","authenticated-orcid":true,"given":"Alaa","family":"Harb","sequence":"additional","affiliation":[{"name":"College of Nursing, University of Iowa, Iowa City, IA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grerk","family":"Sutamtewagul","sequence":"additional","affiliation":[{"name":"Division of Hematology, Oncology, and Blood &amp; Marrow Transplantation, Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6315-4873","authenticated-orcid":true,"given":"Yelena","family":"Perkhounkova","sequence":"additional","affiliation":[{"name":"College of Nursing, University of Iowa, Iowa City, IA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marisa","family":"Mueterthies","sequence":"additional","affiliation":[{"name":"College of Nursing, University of Iowa, Iowa City, IA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8730-3804","authenticated-orcid":true,"given":"Faith","family":"Hendricks","sequence":"additional","affiliation":[{"name":"College of Nursing, University of Iowa, Iowa City, IA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3544-3480","authenticated-orcid":true,"given":"Maria","family":"Hein","sequence":"additional","affiliation":[{"name":"College of Nursing, University of Iowa, Iowa City, IA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1100-3760","authenticated-orcid":true,"given":"Tamara G.R.","family":"Macieira","sequence":"additional","affiliation":[{"name":"College of Nursing, University of Florida, Gainesville, FL"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"233","reference":[{"key":"e_1_3_6_2_2","first-page":"e3198","article-title":"Acute myeloid leukemia: Is that all there is?","volume":"10","author":"Saif A","year":"2018","unstructured":"Saif A, Kazmi SFA, Naseem R, et al: Acute myeloid leukemia: Is that all there is? 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