Literature DB >> 27832254

Association of Risk Factors, Mortality, and Care Costs of Adults With Acute Myeloid Leukemia With Admission to the Intensive Care Unit.

Anna B Halpern1, Eva Culakova2, Roland B Walter3, Gary H Lyman4.   

Abstract

IMPORTANCE: Adults with acute myeloid leukemia (AML) commonly require support in the intensive care unit (ICU), but risk factors for admission to the ICU and adverse outcomes remain poorly defined.
OBJECTIVE: To examine risk factors, mortality, length of stay, and cost associated with admission to the ICU for patients with AML. DESIGN, SETTING, AND PARTICIPANTS: This study extracted information from the University HealthSystem Consortium database on patients 18 years or older with AML who were hospitalized for any cause between January 1, 2004, and December 31, 2012. The University HealthSystem Consortium database contains demographic, clinical, and cost variables prospectively abstracted by certified coders from discharge summaries. Outcomes were analyzed using univariate and multivariable statistical techniques. Data analysis was performed from November 15, 2013, to August 15, 2016. MAIN OUTCOMES AND MEASURES: Primary outcomes were admission to the ICU and inpatient mortality among patients requiring ICU care. Secondary outcomes included length of stay in the ICU, total hospitalization length of stay, and cost.
RESULTS: Of the 43 249 patients with AML (mean [SD] age, 59.5 [16.6] years; 23 939 men and 19 310 women), 11 277 (26.1%) were admitted to the ICU. On multivariable analysis (with results reported as odds ratios [95% CIs]), independent risk factors for admission to the ICU included age younger than 80 years (1.56 [1.42-1.70]), hospitalization in the South (1.81 [1.71-1.92]), hospitalization at a low- or medium-volume hospital (1.25 [1.19-1.31]), number of comorbidities (10.64 [8.89-12.62] for 5 vs none), sepsis (4.61 [4.34-4.89]), invasive fungal infection (1.24 [1.11-1.39]), and pneumonia (1.73 [1.63-1.82]). In-hospital mortality was higher for patients requiring ICU care (4857 of 11 277 [43.1%] vs 2959 of 31 972 [9.3%]). On multivariable analysis, independent risk factors for death in patients requiring ICU care included age 60 years or older (1.16 [1.06-1.26]), nonwhite race/ethnicity (1.18 [1.07-1.30]), hospitalization on the West coast (1.19 [1.06-1.34]), number of comorbidities (18.76 [13.7-25.67] for 5 vs none), sepsis (2.94 [2.70-3.21]), invasive fungal infection (1.20 [1.02-1.42]), and pneumonia (1.13 [1.04-1.24]). Mean costs of hospitalization were higher for patients requiring ICU care ($83 354 vs $41 973) and increased with each comorbidity, from $50 543 for patients with no comorbidities to $124 820 for those with 5 or more comorbidities. CONCLUSIONS AND RELEVANCE: Admission to the ICU is associated with high mortality and cost that increase proportionally with the comorbidity burden in adults with AML. Several demographic factors and medical characteristics identify patients at risk for admission to the ICU and mortality and provide an opportunity for testing primary prevention strategies.

Entities:  

Mesh:

Year:  2017        PMID: 27832254      PMCID: PMC5344736          DOI: 10.1001/jamaoncol.2016.4858

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  29 in total

1.  Rehospitalizations among patients in the Medicare fee-for-service program.

Authors:  Stephen F Jencks; Mark V Williams; Eric A Coleman
Journal:  N Engl J Med       Date:  2009-04-02       Impact factor: 91.245

Review 2.  Hospital and physician volume or specialization and outcomes in cancer treatment: importance in quality of cancer care.

Authors:  B E Hillner; T J Smith; C E Desch
Journal:  J Clin Oncol       Date:  2000-06       Impact factor: 44.544

3.  Applicability of a "Pick a Winner" trial design to acute myeloid leukemia.

Authors:  Robert K Hills; Alan K Burnett
Journal:  Blood       Date:  2011-07-06       Impact factor: 22.113

4.  ICU bed supply, utilization, and health care spending: an example of demand elasticity.

Authors:  Rebecca A Gooch; Jeremy M Kahn
Journal:  JAMA       Date:  2014-02-12       Impact factor: 56.272

5.  Bending the cost curve in cancer care.

Authors:  Thomas J Smith; Bruce E Hillner
Journal:  N Engl J Med       Date:  2011-05-26       Impact factor: 91.245

6.  Mortality, morbidity, and cost associated with febrile neutropenia in adult cancer patients.

Authors:  Nicole M Kuderer; David C Dale; Jeffrey Crawford; Leon E Cosler; Gary H Lyman
Journal:  Cancer       Date:  2006-05-15       Impact factor: 6.860

7.  Prediction of early death after induction therapy for newly diagnosed acute myeloid leukemia with pretreatment risk scores: a novel paradigm for treatment assignment.

Authors:  Roland B Walter; Megan Othus; Gautam Borthakur; Farhad Ravandi; Jorge E Cortes; Sherry A Pierce; Frederick R Appelbaum; Hagop A Kantarjian; Elihu H Estey
Journal:  J Clin Oncol       Date:  2011-10-03       Impact factor: 44.544

8.  Clinical characteristics and outcomes of patients with acute myelogenous leukemia admitted to intensive care: a case-control study.

Authors:  Amanda L Roze des Ordons; Kris Chan; Imran Mirza; Derek R Townsend; Sean M Bagshaw
Journal:  BMC Cancer       Date:  2010-09-28       Impact factor: 4.430

9.  Outcomes and prognostic factors for patients with acute myeloid leukemia admitted to the intensive care unit.

Authors:  Kathryn Jackson; Peter Mollee; Kirk Morris; Jason Butler; Dwane Jackson; Peter Kruger; Kerenaftali Klein; Glen Kennedy
Journal:  Leuk Lymphoma       Date:  2013-05-29

10.  Improved intensive care unit survival for critically ill allogeneic haematopoietic stem cell transplant recipients following reduced intensity conditioning.

Authors:  William M Townsend; Ailsa Holroyd; Rachel Pearce; Stephen Mackinnon; Prakesh Naik; Anthony H Goldstone; David C Linch; Karl S Peggs; Kirsty J Thomson; Mervyn Singer; David C J Howell; Emma C Morris
Journal:  Br J Haematol       Date:  2013-03-18       Impact factor: 6.998

View more
  16 in total

1.  Identifying patterns of clinical conditions among high-cost older adult health care users using claims data: a latent class approach.

Authors:  Xiaolin He; Danjin Li; Wenyi Wang; Hong Liang; Yan Liang
Journal:  Int J Equity Health       Date:  2022-06-20

2.  Risk factors for length of stay and charge per day differ between older and younger hospitalized patients with AML.

Authors:  Anita J Kumar; Tobi Henzer; Angie Mae Rodday; Susan K Parsons
Journal:  Cancer Med       Date:  2018-04-16       Impact factor: 4.452

3.  Histone deacetylase 1 induced by neddylation inhibition contributes to drug resistance in acute myelogenous leukemia.

Authors:  Qiu-Yu Lai; Ying-Zhi He; Xiong-Wen Peng; Xuan Zhou; Dan Liang; Liang Wang
Journal:  Cell Commun Signal       Date:  2019-07-29       Impact factor: 5.712

4.  Using Interleukin 6 and 8 in Blood and Bronchoalveolar Lavage Fluid to Predict Survival in Hematological Malignancy Patients With Suspected Pulmonary Mold Infection.

Authors:  Stephen A Rawlings; Sven Heldt; Juergen Prattes; Susanne Eigl; Jeffrey D Jenks; Holger Flick; Jasmin Rabensteiner; Florian Prüller; Albert Wölfler; Peter Neumeister; Heimo Strohmaier; Robert Krause; Martin Hoenigl
Journal:  Front Immunol       Date:  2019-08-02       Impact factor: 7.561

Review 5.  Febrile Neutropenia in Acute Leukemia. Epidemiology, Etiology, Pathophysiology and Treatment.

Authors:  Bent-Are Hansen; Øystein Wendelbo; Øyvind Bruserud; Anette Lodvir Hemsing; Knut Anders Mosevoll; Håkon Reikvam
Journal:  Mediterr J Hematol Infect Dis       Date:  2020-01-01       Impact factor: 2.576

6.  Efficacy and safety of chemotherapy combined with different doses of IL-2 maintenance therapies for acute myeloid leukemia: A protocol for a Bayesian network meta-analysis.

Authors:  Xuewei Yin; Yi Ding; Liming Yu; Chenchen Guo; Yanyan Cui; Xixi Zhai; Yan Wang; Shumin Ding; Mingyue Shen; Zonghong Li; Ruirong Xu
Journal:  Medicine (Baltimore)       Date:  2021-06-11       Impact factor: 1.817

7.  Changes in intensive care unit admission rates, organ support, and mortality in patients with acute myeloid leukaemia over a 12-year period: a Danish nationwide cohort study.

Authors:  Cecilie V Maeng; Lene Sofie G Østgård; Christian F Christiansen; Kathleen D Liu
Journal:  Br J Haematol       Date:  2021-06-07       Impact factor: 8.615

8.  Risk factors for and clinical outcomes of carbapenem non-susceptible gram negative bacilli bacteremia in patients with acute myelogenous leukemia.

Authors:  Dong Hoon Shin; Dong-Yeop Shin; Chang Kyung Kang; Suhyeon Park; Jieun Park; Kang Il Jun; Taek Soo Kim; Youngil Koh; Jun Shik Hong; Pyoeng Gyun Choe; Wan Beom Park; Nam-Joong Kim; Sung-Soo Yoon; Inho Kim; Myoung-Don Oh
Journal:  BMC Infect Dis       Date:  2020-06-09       Impact factor: 3.090

9.  Phase 1/2 trial of GCLAM with dose-escalated mitoxantrone for newly diagnosed AML or other high-grade myeloid neoplasms.

Authors:  Anna B Halpern; Megan Othus; Emily M Huebner; Bart L Scott; Pamela S Becker; Mary-Elizabeth M Percival; Paul C Hendrie; Kelda M Gardner; Tara L Chen; Sarah A Buckley; Kaysey F Orlowski; Asma Anwar; Frederick R Appelbaum; Harry P Erba; Elihu H Estey; Roland B Walter
Journal:  Leukemia       Date:  2018-04-17       Impact factor: 11.528

10.  Reimbursement, Utilization, and 1-Year Survival Post-Allogeneic Transplantation for Medicare Beneficiaries With Acute Myeloid Leukemia.

Authors:  Lih-Wen Mau; Christa Meyer; Linda J Burns; Wael Saber; Patricia Steinert; David J Vanness; Jaime M Preussler; Alicia Silver; Susan Leppke; Elizabeth A Murphy; Ellen Denzen
Journal:  JNCI Cancer Spectr       Date:  2019-08-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.