Literature DB >> 28419422

Early mortality and complications in hospitalized adult Californians with acute myeloid leukaemia.

Gwendolyn Ho1, Brian A Jonas1, Qian Li1, Ann Brunson1, Ted Wun1, Theresa H M Keegan1.   

Abstract

Few studies have evaluated the impact of complications, sociodemographic and clinical factors on early mortality (death ≤60 days from diagnosis) in acute myeloid leukaemia (AML) patients. Using data from the California Cancer Registry linked to hospital discharge records from 1999 to 2012, we identified patients aged ≥15 years with AML who received inpatient treatment (N = 6359). Multivariate logistic regression analyses were used to assess the association of complications with early mortality, adjusting for sociodemographic factors, comorbidities and hospital type. Early mortality decreased over time (25·3%, 1999-2000; 16·8%, 2011-2012) across all age groups, but was higher in older patients (6·9%, 15-39, 11·4%, 40-54, 18·6% 55-65, and 35·8%, >65 years). Major bleeding [Odds ratio (OR) 1·5, 95% confidence interval (CI) 1·3-1·9], liver failure (OR 1·9, 95% CI 1·1-3·1), renal failure (OR 2·4, 95% CI 2·0-2·9), respiratory failure (OR 7·6, 95% CI 6·2-9·3) and cardiac arrest (OR 15·8, 95% CI 8·7-28·6) were associated with early mortality. Higher early mortality was also associated with single marital status, low neighbourhood socioeconomic status, lack of health insurance and comorbidities. Treatment at National Cancer Institute-designated cancer centres was associated with lower early mortality (OR 0·5, 95% CI 0·4-0·6). In conclusion, organ dysfunction, hospital type and sociodemographic factors impact early mortality. Further studies should investigate how differences in healthcare delivery affect early mortality.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990AMLzzm321990; acute leukaemia; early mortality; epidemiology; outcomes research

Mesh:

Substances:

Year:  2017        PMID: 28419422      PMCID: PMC5444943          DOI: 10.1111/bjh.14631

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  51 in total

1.  Analysis of identifier performance using a deterministic linkage algorithm.

Authors:  Shaun J Grannis; J Marc Overhage; Clement J McDonald
Journal:  Proc AMIA Symp       Date:  2002

2.  Understanding and enhancing the value of hospital discharge data.

Authors:  Julie A Schoenman; Janet P Sutton; Anne Elixhauser; Denise Love
Journal:  Med Care Res Rev       Date:  2007-08       Impact factor: 3.929

3.  Cross-system data linkage for treatment outcome evaluation: lessons learned from the California Treatment Outcome Project.

Authors:  Yih-Ing Hser; Elizabeth Evans
Journal:  Eval Program Plann       Date:  2008-02-19

4.  The prophylactic treatment of thrombocytopenic leukemic patients with platelets: a double blind study.

Authors:  D J Higby; E Cohen; J F Holland; L Sinks
Journal:  Transfusion       Date:  1974 Sep-Oct       Impact factor: 3.157

5.  Age and acute myeloid leukemia.

Authors:  Frederick R Appelbaum; Holly Gundacker; David R Head; Marilyn L Slovak; Cheryl L Willman; John E Godwin; Jeanne E Anderson; Stephen H Petersdorf
Journal:  Blood       Date:  2006-02-02       Impact factor: 22.113

6.  Liposomal amphotericin B for empirical therapy in patients with persistent fever and neutropenia. National Institute of Allergy and Infectious Diseases Mycoses Study Group.

Authors:  T J Walsh; R W Finberg; C Arndt; J Hiemenz; C Schwartz; D Bodensteiner; P Pappas; N Seibel; R N Greenberg; S Dummer; M Schuster; J S Holcenberg
Journal:  N Engl J Med       Date:  1999-03-11       Impact factor: 91.245

7.  Race versus place of service in mortality among medicare beneficiaries with cancer.

Authors:  Tracy Onega; Eric J Duell; Xun Shi; Eugene Demidenko; David C Goodman
Journal:  Cancer       Date:  2010-06-01       Impact factor: 6.860

Review 8.  How I treat the older patient with acute myeloid leukemia.

Authors:  Gert Ossenkoppele; Bob Löwenberg
Journal:  Blood       Date:  2014-12-16       Impact factor: 22.113

9.  Impact of care at comprehensive cancer centers on outcome: Results from a population-based study.

Authors:  Julie A Wolfson; Can-Lan Sun; Laura P Wyatt; Arti Hurria; Smita Bhatia
Journal:  Cancer       Date:  2015-07-28       Impact factor: 6.860

10.  National Cancer Institute designation predicts improved outcomes in colorectal cancer surgery.

Authors:  Emily Carter Paulson; Nandita Mitra; Seema Sonnad; Katrina Armstrong; Christopher Wirtalla; Rachel Rapaport Kelz; Najjia N Mahmoud
Journal:  Ann Surg       Date:  2008-10       Impact factor: 12.969

View more
  15 in total

1.  Treatment Complications and Survival Among Children and Young Adults With Acute Lymphoblastic Leukemia.

Authors:  Elysia M Alvarez; Marcio Malogolowkin; Jeffrey S Hoch; Qian Li; Ann Brunson; Brad H Pollock; Lori Muffly; Ted Wun; Theresa H M Keegan
Journal:  JCO Oncol Pract       Date:  2020-06-11

Review 2.  Adolescent angst: enrollment on clinical trials.

Authors:  Theresa H M Keegan; Helen M Parsons
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

3.  Acute liver failure due to liver parenchymal infiltration with acute myelogenous leukaemia in a patient with myelodysplastic syndrome.

Authors:  Lindsay A Sobotka; Ahmad Malli; Wei Chen; Khalid Mumtaz
Journal:  BMJ Case Rep       Date:  2018-06-28

4.  Patterns of care and clinical outcomes with cytarabine-anthracycline induction chemotherapy for AML patients in the United States.

Authors:  Amer M Zeidan; Nikolai A Podoltsev; Xiaoyi Wang; Chi Zhang; Jan Philipp Bewersdorf; Rory M Shallis; Scott F Huntington; Natalia Neparidze; Smith Giri; Steven D Gore; Amy J Davidoff; Xiaomei Ma; Rong Wang
Journal:  Blood Adv       Date:  2020-04-28

Review 5.  Acute myelogenous leukemia in adolescents and young adults.

Authors:  Ursula Creutzig; Matthew A Kutny; Ronald Barr; Richard F Schlenk; Raul C Ribeiro
Journal:  Pediatr Blood Cancer       Date:  2018-04-18       Impact factor: 3.167

6.  Predictive factors associated with induction-related death in acute myeloid leukemia in a resource-constrained setting.

Authors:  Fernanda Rodrigues Mendes; Wellington Fernandes da Silva; Raphael da Costa Bandeira de Melo; Douglas Rafaele Almeida Silveira; Elvira Deolinda Rodrigues Pereira Velloso; Vanderson Rocha; Eduardo Magalhaes Rego
Journal:  Ann Hematol       Date:  2021-10-21       Impact factor: 3.673

7.  ELN 2017 classification significantly impacts the risk of early death in acute myeloid leukemia patients receiving intensive induction chemotherapy.

Authors:  Naama Keren-Froim; Gabriel Heering; Gal Sharvit; Maya Zlotnik; Arnon Nagler; Avichai Shimoni; Abraham Avigdor; Jonathan Canaani
Journal:  Ann Hematol       Date:  2022-01-06       Impact factor: 3.673

8.  Regionalization of Acute Myeloid Leukemia Treatment in a Community-Based Population: Implementation and Early Results.

Authors:  Lisa Y Law; Stephen P Uong; Hyma T Vempaty; Vu H Nguyen; David Baer; Vincent X Liu; Lisa J Herrinton
Journal:  Perm J       Date:  2021-05

9.  Patterns of care and outcomes in adolescent and young adult acute lymphoblastic leukemia: a population-based study.

Authors:  Lori Muffly; Elysia Alvarez; Daphne Lichtensztajn; Renata Abrahão; Scarlett Lin Gomez; Theresa Keegan
Journal:  Blood Adv       Date:  2018-04-24

10.  Decreased early mortality associated with the treatment of acute myeloid leukemia at National Cancer Institute-designated cancer centers in California.

Authors:  Gwendolyn Ho; Ted Wun; Lori Muffly; Qian Li; Ann Brunson; Aaron S Rosenberg; Brian A Jonas; Theresa H M Keegan
Journal:  Cancer       Date:  2018-02-16       Impact factor: 6.921

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.