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Starkman R, Alibhai S, Wells RA, Geddes M, Zhu N, Keating MM, Leber B, Chodirker L, Sabloff M, Christou G, Leitch HA, St-Hilaire E, Finn N, Shamy A, Yee K, Storring J, Nevill T, Delage R, Elemary M, Banerji V, Lenis M, Kirubananthaan A, Mamedov A, Zhang L, Rockwood K, Buckstein R. An MDS-specific frailty index based on cumulative deficits adds independent prognostic information to clinical prognostic scoring. Leukemia 2019; 34:1394-1406. [PMID: 31811236 DOI: 10.1038/s41375-019-0666-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 10/30/2019] [Accepted: 11/17/2019] [Indexed: 12/21/2022]
Abstract
The frailty index (FI) is based on the principle that the more deficits an individual has, the greater their risk of adverse outcomes. It is expressed as a ratio of the number of deficits present to the total number of deficits considered. We developed an MDS-specific FI using a prospective MDS registry and assessed its ability to add prognostic power to conventional prognostic scores in MDS. The 42 deficits included in this FI included measurements of physical performance, comorbidities, laboratory values, instrumental activities of daily living, quality of life and performance status. Of 644 patients, 440 were eligible for FI calculation. The median FI score was 0.25 (range 0.05-0.67), correlated with age and IPSS/IPSS-R risk scores and discriminated overall survival. With a follow-up of 20 months, survival was 27 months (95% CI 24-30.4). By multivariate analysis, age >70, FI, transfusion dependence, and IPSS were significant covariates associated with OS. The incremental discrimination improvement of the frailty index was 37%. We derived a prognostic score with five risk groups and distinct survivals ranging from 7.4 months to not yet reached. If externally validated, the MDS-FI could be used as a tool to refine the risk stratification of current clinical prognostication models.
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Affiliation(s)
- R Starkman
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - S Alibhai
- Geriatric Medicine/Oncology, University Health Network, Toronto, ON, Canada
| | - R A Wells
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - M Geddes
- Hematology/Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - N Zhu
- Hematology/Oncology, University of Alberta Hospital, Edmonton, AB, Canada
| | - M M Keating
- Hematology/Oncology, Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | - B Leber
- Hematology/Oncology, Juravinski Cancer Center, Hamilton, ON, Canada
| | - L Chodirker
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - M Sabloff
- Hematology/Oncology, University of Ottawa, Ottawa, ON, Canada
| | - G Christou
- Hematology/Oncology, University of Ottawa, Ottawa, ON, Canada
| | - H A Leitch
- Hematology, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - E St-Hilaire
- Hematology/Oncology, Dr. Georges-L-Dumont University Centre, Moncton, NB, Canada
| | - N Finn
- Hematology/Oncology, Dr. Georges-L-Dumont University Centre, Moncton, NB, Canada
| | - A Shamy
- Hematology/Oncology, Jewish General Hospital, Montreal, QC, Canada
| | - K Yee
- Hematology/Oncology, Princess Margaret Hospital, Toronto, ON, Canada
| | - J Storring
- Hematology/Oncology, McGill University Health Centre-Royal Victoria Hospital, Montreal, QC, Canada
| | - T Nevill
- Hematology/Oncology, Vancouver General Hospital, Vancouver, BC, Canada
| | - R Delage
- Hematology/Oncology, Centre de recherche du CHU de Quebec-Universite Laval, Quebec City, QC, Canada
| | - M Elemary
- Hematology, Saskatoon Cancer Centre, Saskatoon, SK, Canada
| | - V Banerji
- Hematology/Oncology, CancerCare Manitoba, Winnipeg, MB, Canada
| | - M Lenis
- Hematology Clinical Trials, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - A Kirubananthaan
- Hematology Clinical Trials, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - A Mamedov
- Hematology Clinical Trials, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - L Zhang
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - K Rockwood
- Geriatric Medicine, Dalhousie University and Nova Scotia Health Authority, Halifax, NS, Canada
| | - R Buckstein
- Hematology/Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
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Abstract
One hundred elderly persons consecutively admitted to the Jewish Home and Hospital for Aged were studied during the first month after admission. Medical changes (chiefly cardiovascular) and behavioral changes were analyzed independently and then correlated. Four subgroups were found: 1) smooth adjustment and no significant medical changes (33 subjects); 2) smooth adjustment with significant medical changes (17 subjects); 3) severe adjustment problems but no significant medical changes (31 subjects); and 4) severe adjustment problems with significant medical changes (19 subjects). The aged persons most likely to have initial adjustment difficulties usually had poor capacity for interpersonal relationships, were socially isolated, were either single or divorced, had a dependent personality, had severe chronic brain syndrome, had a negative or ambivalent attitude toward admission, and often had been referred for psychiatric evaluation before admission. Major patterns of reaction were anxiety, aggressiveness and depression. Significant medical changes were more likely to develop in those with previous poor health who manifested an advanced state of confusion and depressive trends. Depression was related to concomitant medical changes rather than to the previous health status; it exacerbated the reaction to medical illness, which resulted in a decline in the level of functioning. In 58 per cent of the 50 patients with initial adjustment difficulties, a satisfactory level of adaptation was reached during the first six months after admission.
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