KU Leuven, Leuven, Belgium
Victoria Depoorter , Katrijn Vanschoenbeek , Lore Decoster , Harlinde De Schutter , Philip R. Debruyne , Inge DeGroof , Dominique Bron , Frank Cornélis , Sylvie Luce , C. N. J. Focan , Vincent Verschaeve , Gwenaelle Debugne , Christine M. L. H. Langenaeken , Heidi Van Den Bulck , Jean-Charles Goeminne , Koen Milisen , Johan Flamaing , Cindy Kenis , Freija Verdoodt , Hans Wildiers
Background: Long-term outcomes after cancer diagnosis in older persons are largely unexplored because of limited follow-up in clinical studies. By linking clinical data with population-based data, studying long-term outcomes in large cohorts becomes feasible. The current study aims to explore long-term outcomes in the care trajectory of older patients with cancer and to assess their association with baseline geriatric screening and assessment (GS/GA) results. Methods: A large cohort study of older patients with a new cancer diagnosis was set up by linking clinical, cancer registry and administrative health data based on a unique patient identifier. Clinical data were derived from a previously performed prospective multicentric Belgian study (2009-2015). Patients aged ≥ 70 years were screened with G8 followed by GA in case of an abnormal result (≤14/17). Tumor characteristics and vital status were derived from cancer registry data and long-term outcomes (general practitioner (GP) contacts, hospitalizations and nursing home transfers) from administrative health data. In patients that survived at least 3 months since inclusion, outcomes were assessed from the day after inclusion until 3 years after. Event rates were calculated using person-time at risk to allow for varying follow-up time. Patients were censored 3 months before death to exclude influence of end-of-life care. Results: After data linkage, 6,391 older patients with a new cancer diagnosis were available for this analysis. The median age was 77 (range: 70–100) and 59.8% was female. Diagnoses included solid (92.8%) and hematologic malignancies (7.2%). In the patients with a solid tumor, breast, colorectal and lung cancer were the most common and 20.1% of patients had stage IV. 64.3% of patients had an abnormal baseline G8 score. During the 3 year follow-up, 2,602 (40.7%) of the included patients died. In these 3 years, 5,985 (95.2%) patients had at least one contact with a GP and 4,634 (72.5%) had at least one new hospital admission (event rates in Table 1). Of the 3,724 patients living independently at inclusion and still alive after 3 years, 281 (7.5%) had been transferred to a nursing home and of those, 240 (85.4%) patients had an abnormal baseline G8 score. Conclusions: Older patients with an abnormal baseline G8 score have more GP contacts, hospital admissions and nursing home transfers in the 3 years following a new cancer diagnosis compared to patients with normal baseline G8 score. Baseline G8 could help identify patients at risk for higher long-term healthcare utilization.
All pts (n = 6,391) | Pts with normal G8 score (> 14/17) (n = 2,281) | Pts with abnormal G8 score (≤ 14/17) (n = 4,110) | |
---|---|---|---|
GP contacts (n = 101 missing) | 10.96 | 8.95 | 12.47 |
Hospital admissions | 0.91 | 0.72 | 1.06 |
GP = general practitioner, pts = patients.
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