Unplanned hospitalizations in older patients with cancer: Occurrence and predictive factors.

BACKGROUND: This study aims to investigate the occurrence of unplanned hospitalizations in older patients with cancer and to determine predictive factors. METHODS: A prospective Belgian multicentre (n = 22), observational cohort study was performed. Patients ≥70 years with a malignant tumor were included. Patients underwent G8 screening followed by geriatric assessment (GA) if abnormal at baseline and were followed for unplanned hospitalizations at approximately three months. Uni- and multivariable regression models were performed to determine predictive factors associated with unplanned hospitalizations in older patients with an abnormal G8. RESULTS: In total, 7763 patients were included in the current analysis of which 2409 (31%) patients with a normal G8 score and 5354 (69%) with an abnormal G8 score. Patients with an abnormal G8 were hospitalized more frequently than patients with a normal G8 (22.9% versus 12.4%; p < 0.0001). Reasons for unplanned hospitalizations were most frequently cancer related (25.7%) or cancer therapy related (28%). In multivariable analysis, predictive factors for unplanned hospitalizations in older patients with cancer and an abnormal G8 were female gender, absence of surgery, chemotherapy, ADL dependency, malnutrition and presence of comorbidities. CONCLUSION: Older patients with cancer and an abnormal G8 screening present a higher risk (23%) for unplanned hospitalizations. Predictive factors for these patients were identified and include not only patient and treatment related factors but also GA related factors.

The prognostic value of patient-reported Health-Related Quality of Life and Geriatric Assessment in predicting early death in 6769 older (≥70 years) patients with different cancer tumors.

OBJECTIVES: We aimed to determine the prognostic value of baseline Health-Related Quality Of Life (HRQOL) and geriatric assessment (GA) to predict three-month mortality in older patients with cancer undergoing treatment. METHODS: Logistic regressions analysed HRQOL, as measured with the EORTC Global Health Status (GHS) scale, and geriatric information prognostic for early mortality controlling for oncology variables. The assessment was established with the odds ratio (OR), 95% confidence interval (CI) and level of significance set at p < 0.05. Discriminative power was evaluated with area under the curve (AUC). RESULTS: In total, 6769 patients were included in the study, of whom 1259 (18.60%) died at three months. Our model showed higher odds of early death for patients with lower HRQOL (GHS, OR 0.98, 95% CI 0.98-0.99; p < 0.001), a geriatric risk profile (G8 Screening Tool, 1.94, 1.14-3.29; p = 0.014), cognitive decline (Mini Mental State Examination, 1.41, 1.15-1.72; p = 0.001), being at risk for malnutrition (Mini Nutritional Assessment-Short Form, 1.54, 1.21-1.98; p = 0.001), fatigue (Visual Analogue Scale for Fatigue, 1.45, 1.16-1.82; p = 0.012) and comorbidities (Charlson Comorbidity index, 1.23, 1.02-1.49; p = 0.033). Additionally, older age, poor ECOG PS and being male increased the odds of early death, although the magnitude differed depending on tumor site and stage, and treatment (all p < 0.05). Predictive accuracy increased with 3.7% when including HRQOL and GA in the model. CONCLUSION: The results suggest that, in addition to traditional clinical measures, HRQOL and GA provide additional prognostic information for early death, but the odds differ by patient and tumor characteristics.

Health related quality of life in older patients with solid tumors and prognostic factors for decline.

OBJECTIVES: This study aims to investigate health-related quality of life (HRQOL) at baseline and at follow-up in older patients with cancer and to determine prognostic factors for HRQOL decline. METHODS: A prospective Belgian multicentre (n = 22) study was performed. Patients ≥70 years with a malignant tumor and abnormal G8 (≤14/17) screening tool were included. Patients underwent geriatric assessment (GA) and HRQOL evaluation with follow up at three months. Uni- and multivariate regression models were performed to determine factors associated (p < .05) with baseline HRQOL and HRQOL decline at follow-up. RESULTS: Results reflect data collected from 3673 patients. A multivariate analysis showed that younger patients, and those with poor Eastern Cooperative Oncology Group - Performance Status (ECOG-PS), specific tumor types (gastrointestinal, gynaecological and thorax) and higher stage had lower baseline HRQOL. In addition worse functional status and presence of pain, fatigue, depression and malnutrition were associated with lower baseline HRQOL. During treatment (n = 2972), improvement in HRQOL was observed in 1037 patients (35%) and a decline in 838 patients (28.2%). In multivariate analysis, stage and presence of baseline comorbidities, pain, fatigue or malnutrition were associated with HRQOL evolution. CONCLUSION: Baseline HRQOL in older patients with cancer and an abnormal G8 depends on tumor and age related parameters. During follow-up, HRQOL improved in one third of patients, indicating that they may benefit from cancer treatment while one quarter demonstrated a HRQOL decline for which prognostic factors were identified.

Corrigendum to "Implementation of geriatric assessment-based recommendations in older patients with cancer: A multicenter prospective study" [J. Geriatr. Oncol. 6 (2015) 401-410].

The authors regret: A calculation error was corrected in Table 3. As mentioned under the table, the percentage of patients under 'Baseline' was calculated from the total no. of patients with geriatric recommendations data (n = 932 pts). This was mistakenly calculated from the number of patients with available GA data (n = 979). Percentages have been recalculated. The corrected table is reproduced here (Table 3). We emphasize that these percentages are not mentioned in the text of the paper nor do they change any of the conclusions. The authors would like to apologize for any inconvenience caused.

Implementation of geriatric assessment-based recommendations in older patients with cancer: A multicentre prospective study.

PURPOSE: The main objective of this study was to describe geriatric recommendations based on a geriatric assessment (GA) and to evaluate the implementation of these recommendations. PATIENTS AND METHODS: A two-step approach of screening followed by a GA was implemented in nine hospitals in Belgium. Patients ≥ 70 years were included at diagnosis or at disease progression/relapse. Concrete geriatric recommendations were systematically documented and reported to the treating physicians and consisted of referrals to professional health care workers. Patient charts were reviewed after one month to verify which geriatric recommendations have been performed. RESULTS: From August 2011 to July 2012, 1550 patients were included for analysis. The median age was 77 (range: 70-97) and 57.0% were female. A solid tumour was diagnosed in 91.4% and a haematological malignancy in 8.6%. Geriatric screening with the G8 identified 63.6% of the patients for GA (n=986). A median of two geriatric recommendations (range: 1-6) were given for 76.2% (95%CI: 73.4-78.8) of the evaluable patients (n=710). A median of one geriatric recommendation (range: 1-5) was performed in 52.1% (95%CI: 48.4-55.8) of the evaluable patients (n=689). In general, 460 or 35.3% (95%CI: 32.8-38.0) of all the geriatric recommendations were performed. Geriatric recommendations most frequently consisted of referrals to the dietician (60.4%), social worker (40.3%), and psychologist (28.9%). CONCLUSION: This implementation study provides insight into GA-based recommendations/interventions in daily oncology practice. Geriatric recommendations were given in about three-fourths of patients. About one-third of all geriatric recommendations were performed in approximately half of these patients.

Multicenter implementation of geriatric assessment in Belgian patients with cancer: a survey on treating physicians' general experiences and expectations.

OBJECTIVES: The aim of this study is to identify treating physicians' general experiences and expectations regarding geriatric assessment (GA) in older patients with cancer. MATERIALS AND METHODS: A survey was carried out in 9 Belgian hospitals, which participated in a national GA implementation project focusing on older patients with cancer. A newly developed questionnaire was completed by their treating physicians. Data collection comprised of reviewing hospital data, general respondent data, and treating physicians' general experiences and expectations regarding GA. Descriptive statistics were calculated. RESULTS: Eighty-two physicians from 9 hospitals participated. The GA team composition can vary substantially, with a nurse as core member. Ideally, all older patients with cancer in whom a treatment decision is necessary, should benefit from the GA. Nearly all GA domains are reported as very important. Availability of GA results can be improved. Treating physicians want geriatricians to coordinate geriatric recommendations related to the identified GA problems, and expect from trained healthcare workers (THCWs) to collect GA data, to report GA results, and to follow-up the implementation of geriatric recommendations. CONCLUSION: This study identifies relevant information for improving the implementation of GA in older patients with cancer in Belgium and reveals priorities for a THCW from the treating physician's point of view. To increase the effectiveness of GA, further efforts are needed to improve the implementation of geriatric recommendations.