The Effect of A Geriatric Assessment on Treatment Decisions for Patients with Lung Cancer
Pulmonary and Respiratory Medicine
Aged, 80 and over
Male
Lung Neoplasms
Frailty
Health Status
Clinical Decision-Making
Nutritional Status
Comorbidity
Geriatric assessment
Article
3. Good health
CGA
03 medical and health sciences
0302 clinical medicine
Pulmonary malignancies
Humans
Cognitive Dysfunction
Female
Mobility Limitation
Geriatric Assessment
Aged
DOI:
10.1007/s00408-017-9983-7
Publication Date:
2017-03-09T04:27:24Z
AUTHORS (9)
ABSTRACT
Decision-making for older patients with lung cancer can be complex and challenging. A geriatric assessment (GA) may be helpful and is increasingly being used since 2005 when SIOG advised to incorporate this in standard work-up for the elderly with cancer. Our aim was to evaluate the value of a geriatric assessment in decision-making for patients with lung cancer.Between January 2014 and April 2016, data on patients with lung cancer from two teaching hospitals in the Netherlands were entered in a prospective database. Outcome of geriatric assessment, non-oncologic interventions, and suggested adaptations of oncologic treatment proposals were evaluated.83 patients (median age 79 years) were analyzed with a geriatric assessment, of which 59% were treated with a curative intent. Half of the patients were classified as ECOG PS 0 or 1. The majority of the patients (78%) suffered from geriatric impairments and 43% (n = 35) of the patients suffered from three or more geriatric impairments (out of eight analyzed domains). Nutritional status was most frequently impaired (52%). Previously undiagnosed impairments were identified in 58% of the patients, and non-oncologic interventions were advised for 43%. For 33% of patients, adaptations of the oncologic treatment were proposed. Patients with higher number of geriatric impairments more often were advised a reduced or less intensive treatment (p < 0.001).A geriatric assessment uncovers previously unknown health impairments and provides important guidance for tailored treatment decisions in patients with lung cancer. More research on GA-stratified treatment decisions is needed.
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