Literature DB >> 24458781

Impact of comorbidities by ACE-27 in the revised-IPSS for patients with myelodysplastic syndromes.

Naval Daver1, Kiran Naqvi, Elias Jabbour, Tapan Kadia, Courtney DiNardo, Marylou Cardenas-Turanzas, Sherry Pierce, Khanh Thi-Thuy Nguyen, Carlos Bueso-Ramos, Hagop Kantarjian, Guillermo Garcia-Manero.   

Abstract

Comorbidities significantly affect the prognosis and outcomes of patients with hematological malignancies. We have previously reported the impact of comorbidities on the International Prognostic Scoring System (IPSS) score. The aim of this study was to determine whether comorbidities continued to have a significant impact when patients were reclassified according to the Revised-IPSS (IPSS-R). The medical records of 600 consecutive myelodysplastic syndrome patients who presented to MD Anderson Cancer Center between January 2002 and June 2004 were reviewed. The Adult Comorbidity Evaluation-27 (ACE-27) was used to assess the severity of comorbid conditions. Four hundred and two (67%) patients were male. Median age at presentation was 66.6 years (17-94). Mean duration of follow-up was 54 months (1-100). Five hundred and two (84%) patients died, and 54 (9%) patients underwent stem cell transplantation. Overall median survival was 16.8 months (1-100). Median survival by IPSS-R was 47, 34, 21, 16, and 6 months for patients in very low, low, intermediate, high, and very high-risk groups, respectively (P < 0.001). The ACE-27 comorbidity score significantly impacted the median survival of patients in the intermediate (P < 0.001), high (P = 0.045), and very high (P = 0.004) IPSS-R groups; but did not significantly impact the median survival in the low (P = 0.11) and very low (P = 0.49) IPSS-R groups. The ACE-27 comorbidity score significantly impacted the median survival of patients ≤65 years (P < 0.001) but did not significantly impact those >65 years (P = 0.18). Assessment of comorbidity may enhance the prognostic ability of the IPSS-R.
Copyright © 2014 Wiley Periodicals, Inc.

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Year:  2014        PMID: 24458781      PMCID: PMC4221257          DOI: 10.1002/ajh.23675

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  34 in total

1.  The importance of classifying initial co-morbidity in evaluating the outcome of diabetes mellitus.

Authors:  M H Kaplan; A R Feinstein
Journal:  J Chronic Dis       Date:  1974-09

2.  Clinical effect of point mutations in myelodysplastic syndromes.

Authors:  Rafael Bejar; Kristen Stevenson; Omar Abdel-Wahab; Naomi Galili; Björn Nilsson; Guillermo Garcia-Manero; Hagop Kantarjian; Azra Raza; Ross L Levine; Donna Neuberg; Benjamin L Ebert
Journal:  N Engl J Med       Date:  2011-06-30       Impact factor: 91.245

3.  Association of comorbidities with overall survival in myelodysplastic syndrome: development of a prognostic model.

Authors:  Kiran Naqvi; Guillermo Garcia-Manero; Sagar Sardesai; Jeong Oh; Carlos E Vigil; Sherry Pierce; Xiudong Lei; Jianqin Shan; Hagop M Kantarjian; Maria E Suarez-Almazor
Journal:  J Clin Oncol       Date:  2011-05-02       Impact factor: 44.544

4.  Effect of age and comorbidity in postmenopausal breast cancer patients aged 55 years and older.

Authors:  R Yancik; M N Wesley; L A Ries; R J Havlik; B K Edwards; J W Yates
Journal:  JAMA       Date:  2001-02-21       Impact factor: 56.272

5.  Comorbid and clinical determinants of prognosis in endometrial cancer.

Authors:  C K Wells; J K Stoller; A R Feinstein; R I Horwitz
Journal:  Arch Intern Med       Date:  1984-10

6.  Comorbidity and age as predictors of risk for early mortality of male and female colon carcinoma patients: a population-based study.

Authors:  R Yancik; M N Wesley; L A Ries; R J Havlik; S Long; B K Edwards; J W Yates
Journal:  Cancer       Date:  1998-06-01       Impact factor: 6.860

7.  New insights into the prognostic impact of the karyotype in MDS and correlation with subtypes: evidence from a core dataset of 2124 patients.

Authors:  Detlef Haase; Ulrich Germing; Julie Schanz; Michael Pfeilstöcker; Thomas Nösslinger; Barbara Hildebrandt; Andrea Kundgen; Michael Lübbert; Regina Kunzmann; Aristoteles A N Giagounidis; Carlo Aul; Lorenz Trümper; Otto Krieger; Reinhard Stauder; Thomas H Müller; Friedrich Wimazal; Peter Valent; Christa Fonatsch; Christian Steidl
Journal:  Blood       Date:  2007-08-28       Impact factor: 22.113

8.  Comorbidities and survival in a large cohort of patients with newly diagnosed myelodysplastic syndromes.

Authors:  Rong Wang; Cary P Gross; Stephanie Halene; Xiaomei Ma
Journal:  Leuk Res       Date:  2009-03-25       Impact factor: 3.156

9.  Prognostic importance of comorbidity in a hospital-based cancer registry.

Authors:  Jay F Piccirillo; Ryan M Tierney; Irene Costas; Lori Grove; Edward L Spitznagel
Journal:  JAMA       Date:  2004-05-26       Impact factor: 56.272

10.  Clinical and biological implications of driver mutations in myelodysplastic syndromes.

Authors:  Elli Papaemmanuil; Moritz Gerstung; Luca Malcovati; Sudhir Tauro; Gunes Gundem; Peter Van Loo; Chris J Yoon; Peter Ellis; David C Wedge; Andrea Pellagatti; Adam Shlien; Michael John Groves; Simon A Forbes; Keiran Raine; Jon Hinton; Laura J Mudie; Stuart McLaren; Claire Hardy; Calli Latimer; Matteo G Della Porta; Sarah O'Meara; Ilaria Ambaglio; Anna Galli; Adam P Butler; Gunilla Walldin; Jon W Teague; Lynn Quek; Alex Sternberg; Carlo Gambacorti-Passerini; Nicholas C P Cross; Anthony R Green; Jacqueline Boultwood; Paresh Vyas; Eva Hellstrom-Lindberg; David Bowen; Mario Cazzola; Michael R Stratton; Peter J Campbell
Journal:  Blood       Date:  2013-09-12       Impact factor: 22.113

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  8 in total

1.  A clinical trial for patients with acute myeloid leukemia or myelodysplastic syndromes not eligible for standard clinical trials.

Authors:  G Montalban-Bravo; X Huang; K Naqvi; E Jabbour; G Borthakur; C D DiNardo; N Pemmaraju; J Cortes; S Verstovsek; T Kadia; N Daver; W Wierda; Y Alvarado; M Konopleva; F Ravandi; Z Estrov; N Jain; A Alfonso; M Brandt; T Sneed; H-C Chen; H Yang; C Bueso-Ramos; S Pierce; E Estey; Z Bohannan; H M Kantarjian; G Garcia-Manero
Journal:  Leukemia       Date:  2016-10-31       Impact factor: 11.528

2.  Integrating patient-centered factors in the risk assessment of MDS.

Authors:  Rena J Buckstein
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2019-12-06

Review 3.  MDS prognostic scoring systems – past, present, and future.

Authors:  Brian A Jonas; Peter L Greenberg
Journal:  Best Pract Res Clin Haematol       Date:  2014-11-11       Impact factor: 3.020

Review 4.  Myelodysplastic Syndromes and Acute Myeloid Leukemia in the Elderly.

Authors:  Heidi D Klepin
Journal:  Clin Geriatr Med       Date:  2016-02       Impact factor: 3.076

5.  Comorbidities predict worse prognosis in patients with primary myelofibrosis.

Authors:  Kate J Newberry; Kiran Naqvi; Khanh T Nguyen; Marylou Cardenas-Turanzas; Maria Florencia Tanaka; Sherry Pierce; Srdan Verstovsek
Journal:  Cancer       Date:  2014-06-10       Impact factor: 6.860

6.  Comorbidity Assessment in Skin Cancer Patients: A Pilot Study Comparing Medical Interview with a Patient-Reported Questionnaire.

Authors:  Erica H Lee; Rajiv I Nijhawan; Kishwer S Nehal; Stephen W Dusza; Amanda Levine; Amanda Hill; Christopher A Barker
Journal:  J Skin Cancer       Date:  2015-06-09

7.  Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia.

Authors:  Maxi Wass; Friederike Hitz; Judith Schaffrath; Carsten Müller-Tidow; Lutz P Müller
Journal:  PLoS One       Date:  2016-10-12       Impact factor: 3.240

Review 8.  Unraveling Myelodysplastic Syndromes: Current Knowledge and Future Directions.

Authors:  Ali N Chamseddine; Elias Jabbour; Hagop M Kantarjian; Zachary S Bohannan; Guillermo Garcia-Manero
Journal:  Curr Oncol Rep       Date:  2016-01       Impact factor: 5.945

  8 in total

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