scholarly journals Cognitive Impairment in Older Cancer Patients Treated with First-Line Chemotherapy

Cancers ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 6171
Author(s):  
Mélanie Dos Santos ◽  
Idlir Licaj ◽  
Carine Bellera ◽  
Laurent Cany ◽  
Giulia Binarelli ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Cancer Patients ◽  
Predictive Factors ◽  
Depression Scale ◽  
Mini Nutritional Assessment ◽  
First Line ◽  
European Organization ◽  
Elderly Cancer Patients ◽  
Older Cancer Patients ◽  
Line Chemotherapy

Older cancer patients are vulnerable to chemotherapy-related cognitive impairment. We prospectively evaluated cognitive impairment and its predictive factors during first-line chemotherapy in elderly cancer patients (≥70 years). Cognitive function was evaluated by the Mini-Mental State Examination (MMSE) with adjusted scores for age and sociocultural level. Multidimensional geriatric assessment was performed at baseline and during chemotherapy including the MMSE, Instrumental Activities in Daily Living (IADL), Mini-Nutritional Assessment (MNA), and the Geriatric Depression Scale (GDS15). Quality of life (QoL) was evaluated using the European Organization for Research and Treatment of Cancer (EORTC) QoL Questionnaire (QLQ-C30). Of 364 patients included, 310 had two MMSE evaluations including one at baseline and were assessed. Among these patients, 86 (27.7%) had abnormal MMSE, 195 (62.9%) abnormal MNA, 223 (71.9%) abnormal IADL, and 137 (43.1%) had depressive symptoms at baseline. MMSE impairment during chemotherapy was observed in 58 (18.7%) patients. Abnormal baseline MNA (odds ratio (OR) = 1.87, p = 0.021) and MMSE (OR = 2.58, p = 0.022) were independent predictive factors of MMSE impairment. These results suggest that pre-existing cognitive impairment and malnutrition are predictive factors for cognitive decline during chemotherapy in elderly cancer patients. Detection and management of these risk factors should be systematically considered in this population before starting chemotherapy.

Predictors of Early Death Risk in Older Patients Treated With First-Line Chemotherapy for Cancer

2012 ◽  
Vol 30 (15) ◽  
pp. 1829-1834 ◽  
Author(s):  
Pierre Soubeyran ◽  
Marianne Fonck ◽  
Christèle Blanc-Bisson ◽  
Jean-Frédéric Blanc ◽  
Joël Ceccaldi ◽  
...  
Keyword(s):  
Daily Living ◽  
Rating Scale ◽  
Nutritional Assessment ◽  
Advanced Disease ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Mini Nutritional Assessment ◽  
Early Death ◽  
First Line ◽  
Line Chemotherapy

Purpose Objective factors for making choices about the treatment of elderly patients with cancer are lacking. This investigation aimed to help physicians select appropriate treatments through the identification of factors that predict early death (< 6 months) after initiation of chemotherapy treatment. Patients and Methods Previously untreated patients greater than 70 years of age who were scheduled for first-line chemotherapy for various types of cancer were included. Baseline abbreviated comprehensive geriatric assessment (aCGA), including the Mini-Mental State Exam, Timed Get Up and Go (GUG), Activities of Daily Living (ADL), Instrumental Activities in Daily Living (IADL), Mini Nutritional Assessment (MNA), Geriatric Depression Scale (GDS15), and comorbidities index (Cumulative Index Rating Scale-Geriatric), was carried out. Prognostic factors of early death were sought from aCGA results and traditional oncology measures. Results A total of 348 patients were included across 12 centers in Southwest France (median age, 77.45 years; ratio of men to women, 1.47; advanced disease, 65%). Abnormal aCGA scores were observed for 18.1% of patients on the ADL, 73.0% of patients on the IADL, 24.1% of patients on the GUG, 19.0% of patients on the MMS, 44.0% of patients on the GDS15, and 64.9% of patients on the MNA. Advanced disease (odds ratio [OR], 3.9; 95% CI, [1.58 to 9.73]), a low MNA score (OR 2.77; 95% CI, [1.24 to 6.18]), male sex (OR, 2.40; 95% CI, [1.2 to 4.82]), and long GUG (OR, 2.55; 95% CI, [1.32 to 4.94] were associated with higher risk of early death. Conclusion In patients greater than 70 years of age with cancer, advanced disease, a low MNA score, and poor mobility predicted early death. We recommend that the MNA and GUG, performed by a trained nurse, be maintained as part of routine pretreatment workup in these patients to identify at-risk patients and to inform the decision-making process for chemotherapy.

scholarly journals Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study (Preprint)

2018 ◽  
Author(s):  
Gabrielle Ribeiro Sena ◽  
Tiago Pessoa Ferreira Lima ◽  
Maria Julia Gonçalves Mello ◽  
Luiz Claudio Santos Thuler ◽  
Jurema Telles Oliveira Lima
Keyword(s):  
Machine Learning ◽  
Cancer Patients ◽  
Geriatric Assessment ◽  
Short Form ◽  
Geriatric Oncology ◽  
Depression Scale ◽  
Mini Nutritional Assessment ◽  
Early Death ◽  
Machine Learning Algorithms ◽  
Elderly Cancer Patients

BACKGROUND The importance of classifying cancer patients into high- or low-risk groups has led many research teams, from the biomedical and bioinformatics fields, to study the application of machine learning (ML) algorithms. The International Society of Geriatric Oncology recommends the use of the comprehensive geriatric assessment (CGA), a multidisciplinary tool to evaluate health domains, for the follow-up of elderly cancer patients. However, no applications of ML have been proposed using CGA to classify elderly cancer patients. OBJECTIVE The aim of this study was to propose and develop predictive models, using ML and CGA, to estimate the risk of early death in elderly cancer patients. METHODS The ability of ML algorithms to predict early mortality in a cohort involving 608 elderly cancer patients was evaluated. The CGA was conducted during admission by a multidisciplinary team and included the following questionnaires: mini-mental state examination (MMSE), geriatric depression scale-short form, international physical activity questionnaire-short form, timed up and go, Katz index of independence in activities of daily living, Charlson comorbidity index, Karnofsky performance scale (KPS), polypharmacy, and mini nutritional assessment-short form (MNA-SF). The 10-fold cross-validation algorithm was used to evaluate all possible combinations of these questionnaires to estimate the risk of early death, considered when occurring within 6 months of diagnosis, in a variety of ML classifiers, including Naive Bayes (NB), decision tree algorithm J48 (J48), and multilayer perceptron (MLP). On each fold of evaluation, tiebreaking is handled by choosing the smallest set of questionnaires. RESULTS It was possible to select CGA questionnaire subsets with high predictive capacity for early death, which were either statistically similar (NB) or higher (J48 and MLP) when compared with the use of all questionnaires investigated. These results show that CGA questionnaire selection can improve accuracy rates and decrease the time spent to evaluate elderly cancer patients. CONCLUSIONS A simplified predictive model aiming to estimate the risk of early death in elderly cancer patients is proposed herein, minimally composed by the MNA-SF and KPS. We strongly recommend that these questionnaires be incorporated into regular geriatric assessment of older patients with cancer.

scholarly journals Effect of chocolate on older patients with cancer in palliative care: a randomised controlled study

2022 ◽  
Vol 21 (1) ◽  
Author(s):  
Josiane C. Vettori ◽  
Luanda G. da-Silva ◽  
Karina Pfrimer ◽  
Alceu A. Jordão ◽  
Paulo Louzada-Junior ◽  
...  
Keyword(s):  
Palliative Care ◽  
Body Composition ◽  
Nutritional Status ◽  
Cancer Patients ◽  
Assessment Tool ◽  
Mini Nutritional Assessment ◽  
Controlled Study ◽  
Functional Domain ◽  
European Organization ◽  
Older Cancer Patients

Abstract Background Older advanced stage cancer patients, with changes in nutritional status, represent an important demand for palliative care. The aim was to determine the effects of 4 weeks of chocolate consumption on the nutritional status of older cancer patients in palliative care. Methods Older cancer patients in palliative care with ambulatory (n = 46) monitoring were randomized to control (CG, n = 15), intervention with 55% cocoa chocolate (IG1, n = 16) and intervention with white chocolate (IG2, n = 15) groups and evaluated before and after 4 weeks for nutritional status (primary outcome), evaluated by the Mini Nutritional Assessment tool (MNA). Food consumption, anthropometry, body composition, laboratory parameters and quality of life (QL) with the European Organization for the Research and Treatment of Cancer instrument were also evaluated. Results IG1 progressed with increased screening (estimated difference [95% CI]: − 1.3 [− 2.2;-0.4], p < 0.01), and nutritional (estimated difference [95% CI]: − 1.3 [− 2.5;-0.1], p = 0.04) scores on the MNA, with no change in anthropometry and body composition. Regarding antioxidant capacity, reduced glutathione levels increased (estimated difference [95% CI]: − 0.8 [− 1.6;-0.02], p = 0.04) and malondealdehyde levels decreased in IG2 (estimated difference [95% CI]:+ 4.9 [+ 0.7;+ 9.1], p = 0.02). Regarding QL, functionality improved in IG1, with higher score in the functional domain (estimated difference [95% CI]:-7.0 [− 13.3;-0.7], p = 0.03). Conclusions The consumption of chocolate with a greater cocoa content may contribute to the improvement of the nutritional status and functionality among older cancer patients in palliative care. The consumption of white chocolate was associated with improved oxidative stress. Trial registration A randomized clinical trial (ClinicalTrials.gov NCT04367493).

Functional Decline in Older Patients With Cancer Receiving First-Line Chemotherapy

2013 ◽  
Vol 31 (31) ◽  
pp. 3877-3882 ◽  
Author(s):  
Stéphanie Hoppe ◽  
Muriel Rainfray ◽  
Marianne Fonck ◽  
Laurent Hoppenreys ◽  
Jean-Frédéric Blanc ◽  
...  
Keyword(s):  
Older Patients ◽  
Rating Scale ◽  
Univariate Analysis ◽  
Functional Decline ◽  
Depression Scale ◽  
Mini Nutritional Assessment ◽  
First Line ◽  
Factors Associated ◽  
Increased Risk ◽  
Line Chemotherapy

Purpose To determine factors associated with early functional decline during first-line chemotherapy in older patients. Patients and Methods Patients age ≥ 70 years receiving first-line chemotherapy for cancer were prospectively considered for inclusion across 12 centers in France. Functional decline was defined as a decrease of ≥ 0.5 points on the Activities of Daily Living (ADL) scale between the beginning of chemotherapy and the second cycle. Factors associated with functional decline were sought from pretreatment abbreviated comprehensive geriatric assessment, including ADL, Instrumental ADL (IADL), Mini-Nutritional Assessment (MNA), Mini–Mental State Examination (MMSE), Geriatric Depression Scale (GDS15), and Timed Get Up and Go (GUG) test, and from comorbidities (Cumulative Illness Rating Scale–Geriatrics), MAX2 index, and baseline biologic and clinical information. Results Of 364 included patients, 50 experienced functional decline (16.7%; median, 0.5 points). Abnormal preadmission performance status, IADL, GDS15, MMSE, GUG, and MNA were associated with increased likelihood of functional decline (univariate analysis). In the multivariate model adjusted for baseline ADL and MAX2 index, high baseline GDS (odds ratio [OR], 2.16; 95% CI, 1.09 to 4.30; P = .03) and low IADL scores (OR, 2.87; 95% CI, 1.06 to 7.79; P = .04) were independently associated with increased risk of functional decline. Conclusion Our results outline associations between baseline depression, instrumental dependencies, and early functional decline during chemotherapy for older patients. ADL should be sequentially evaluated early during treatment. Baseline evaluation of GDS15 and IADL may be proposed to anticipate this event.

scholarly journals Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study

JMIR Cancer ◽  
10.2196/12163 ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. e12163 ◽  
Author(s):  
Gabrielle Ribeiro Sena ◽  
Tiago Pessoa Ferreira Lima ◽  
Maria Julia Gonçalves Mello ◽  
Luiz Claudio Santos Thuler ◽  
Jurema Telles Oliveira Lima
Keyword(s):  
Machine Learning ◽  
Cancer Patients ◽  
Geriatric Assessment ◽  
Short Form ◽  
Geriatric Oncology ◽  
Depression Scale ◽  
Mini Nutritional Assessment ◽  
Early Death ◽  
Machine Learning Algorithms ◽  
Elderly Cancer Patients

Background The importance of classifying cancer patients into high- or low-risk groups has led many research teams, from the biomedical and bioinformatics fields, to study the application of machine learning (ML) algorithms. The International Society of Geriatric Oncology recommends the use of the comprehensive geriatric assessment (CGA), a multidisciplinary tool to evaluate health domains, for the follow-up of elderly cancer patients. However, no applications of ML have been proposed using CGA to classify elderly cancer patients. Objective The aim of this study was to propose and develop predictive models, using ML and CGA, to estimate the risk of early death in elderly cancer patients. Methods The ability of ML algorithms to predict early mortality in a cohort involving 608 elderly cancer patients was evaluated. The CGA was conducted during admission by a multidisciplinary team and included the following questionnaires: mini-mental state examination (MMSE), geriatric depression scale-short form, international physical activity questionnaire-short form, timed up and go, Katz index of independence in activities of daily living, Charlson comorbidity index, Karnofsky performance scale (KPS), polypharmacy, and mini nutritional assessment-short form (MNA-SF). The 10-fold cross-validation algorithm was used to evaluate all possible combinations of these questionnaires to estimate the risk of early death, considered when occurring within 6 months of diagnosis, in a variety of ML classifiers, including Naive Bayes (NB), decision tree algorithm J48 (J48), and multilayer perceptron (MLP). On each fold of evaluation, tiebreaking is handled by choosing the smallest set of questionnaires. Results It was possible to select CGA questionnaire subsets with high predictive capacity for early death, which were either statistically similar (NB) or higher (J48 and MLP) when compared with the use of all questionnaires investigated. These results show that CGA questionnaire selection can improve accuracy rates and decrease the time spent to evaluate elderly cancer patients. Conclusions A simplified predictive model aiming to estimate the risk of early death in elderly cancer patients is proposed herein, minimally composed by the MNA-SF and KPS. We strongly recommend that these questionnaires be incorporated into regular geriatric assessment of older patients with cancer.

scholarly journals Phase II study of an oxaliplatin-based regimen for relapsed colon cancer patients treated with oxaliplatin-based adjuvant chemotherapy (INSPIRE study)

2021 ◽  
Author(s):  
Keiichiro Ishibashi ◽  
Toru Aoyama ◽  
Masahito Kotaka ◽  
Hironaga Satake ◽  
Yasushi Tsuji ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Adjuvant Chemotherapy ◽  
Cancer Patients ◽  
Sensory Neuropathy ◽  
Progression Free Survival ◽  
First Line ◽  
Secondary Endpoints ◽  
Grade 3 ◽  
Peripheral Sensory ◽  
Line Chemotherapy

Abstract Background The aim of this study was to evaluate the efficacy and safety of first-line chemotherapy with re-introduction of oxaliplatin (OX) more than 6 months after adjuvant chemotherapy including OX. Methods Stage II/III colon cancer patients with neuropathies of grade ≤ 1 who relapsed more than 6 months after adjuvant chemotherapy including OX were considered eligible. Eligible patients were treated with 5-fluorouracil, l-leucovorin and OX plus molecularly targeted agents or capecitabine and OX plus bevacizumab (BV) or S-1 and OX plus BV. The primary endpoint was the progression-free survival (PFS), and the secondary endpoints were the overall survival (OS), response rate (RR) and toxicity. Results A total of 50 patients were enrolled between September 2013 and May 2019. Twelve patients received 5-fluorouracil, l-leucovorin and OX (FOLFOX) plus BV, 21 patients received capecitabine and OX plus BV, 10 patients received S-1 and OX plus BV and 7 patients received FOLFOX plus cetuximab or panitumumab. The median PFS was 11.5 months (95% confidence interval [CI] 8.3–16.0), the median OS was 45.4 months (95% CI 37.4–NA), and the RR was 56.0% (95% CI 42.3–68.8). Adverse events of grade ≥ 3 that occurred in ≥ 5% of cases were neutropenia in 6 patients (12%), peripheral sensory neuropathy in 5 patients (10%), diarrhea in 4 patients (8%), hypertension in 4 patients (8%), anorexia in 3 patients (6%) and allergic reactions in 3 patients (6%). Conclusions First-line chemotherapy with re-introduction of OX more than 6 months after adjuvant chemotherapy including OX can be used safely with expected efficacy for relapsed colon cancer patients.

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