Literature DB >> 31648956

Combination of Frailty Status and Comorbidity Score Improves the Stratification of Survival in Patients With Myelodysplastic Syndrome Owing to Good Predictive Capability for Infection-related Mortality.

Kazuki Sakatoku1, Yasunobu Takeoka2, Akiko Miura3, Taku Araki3, Yotaro Fujitani3, Ryosuke Yamamura3, Hirohisa Nakamae4, Kensuke Ohta5, Masayuki Hino4.   

Abstract

BACKGROUND: We investigated the prognostic effects of frailty and its association with comorbidity in patients with myelodysplastic syndrome (MDS). PATIENTS AND METHODS: This retrospective analysis included 118 consecutive patients diagnosed with MDS. Frailty was evaluated using the clinical frailty scale (CFS). Comorbidity was classified using the Charlson comorbidity index (CCI) and MDS comorbidity index (MDS-CI).
RESULTS: On multivariate analysis, CFS (≥ 5 vs. < 5; hazard ratio [HR], 3.37; P = .002), CCI (≥ 2 vs. < 2; HR, 2.59; P = .002), and Revised International Prognostic Scoring System (IPSS-R) category (HR, 2.1; P = .009) were independently predictive of overall survival (OS). One-year OS of patients with CFS ≥ 5 or CCI ≥ 2 were significantly worse compared with those with CFS < 5 or CCI < 2 (55% vs. 91%; P < .001; 46% vs. 91%; P < .001, respectively). OS was clearly stratified into 3 groups according to CFS (≥ 5 vs. < 5) and CCI (≥ 2 vs. < 2; P < .001). When comparing these 3 groups, the incidence of infection-related mortality progressively increased with CFS ≥ 5 and/or CCI ≥ 2 (P < .001). This effect was more obvious in patients with lower IPSS-R.
CONCLUSION: The present study suggests frailty and comorbidity may be patient-related, independent predictive factors of poor prognosis. This could probably be attributed to increasing infection-related mortality with frailty and comorbidity. Combining the evaluation of frailty and comorbidity with IPSS-R might aid in more precise prediction of OS, especially in patients with low risk of MDS.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Charlson comorbidity index; Clinical frailty scale; Geriatric assessment; Non-hematological prognostic factors; Non-leukemic death

Year:  2019        PMID: 31648956     DOI: 10.1016/j.clml.2019.09.610

Source DB:  PubMed          Journal:  Clin Lymphoma Myeloma Leuk        ISSN: 2152-2669


  5 in total

1.  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 2.  Advances in Management for Older Adults With Hematologic Malignancies.

Authors:  Ashley E Rosko; Raul Cordoba; Gregory Abel; Andrew Artz; Kah Poh Loh; Heidi D Klepin
Journal:  J Clin Oncol       Date:  2021-05-27       Impact factor: 50.717

Review 3.  BMT for Myelodysplastic Syndrome: When and Where and How.

Authors:  Akriti G Jain; Hany Elmariah
Journal:  Front Oncol       Date:  2022-01-06       Impact factor: 6.244

4.  Neutralization of SARS-CoV-2 Omicron after vaccination of patients with myelodysplastic syndromes or acute myeloid leukemia.

Authors:  Lorenza Bellusci; Gabrielle Grubbs; Pragya Srivastava; Michael J Nemeth; Elizabeth A Griffiths; Hana Golding; Surender Khurana
Journal:  Blood       Date:  2022-05-05       Impact factor: 25.476

5.  The Clinical Frailty Scale (CFS) employment in the frailty assessment of patients suffering from Non-Communicable Diseases (NCDs): A systematic review.

Authors:  Nicolò Granata; Martina Vigoré; Andrea Steccanella; Luca Ranucci; Simona Sarzi Braga; Paola Baiardi; Antonia Pierobon
Journal:  Front Med (Lausanne)       Date:  2022-08-16
  5 in total

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