scholarly journals One-Year Mortality in Older Patients with Cancer: Development and External Validation of an MNA-Based Prognostic Score

PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0148523 ◽  
Author(s):  
Isabelle Bourdel-Marchasson ◽  
Abou Diallo ◽  
Carine Bellera ◽  
Christelle Blanc-Bisson ◽  
Jessica Durrieu ◽  
...  
2021 ◽  
Vol 10 (8) ◽  
pp. 1615
Author(s):  
Jaime Feliu ◽  
Alvaro Pinto ◽  
Laura Basterretxea ◽  
Borja López-San Vicente ◽  
Irene Paredero ◽  
...  

Background: Estimation of life expectancy in older patients is relevant to select the best treatment strategy. We aimed to develop and validate a score to predict early mortality in older patients with cancer. Patients and Methods: A total of 749 patients over 70 years starting new chemotherapy regimens were prospectively included. A prechemotherapy assessment that included sociodemographic variables, tumor/treatment variables, and geriatric assessment variables was performed. Association between these factors and early death was examined using multivariable logistic regression. Score points were assigned to each risk factor. External validation was performed on an independent cohort. Results: In the training cohort, the independent predictors of 6-month mortality were metastatic stage (OR 4.8, 95% CI [2.4–9.6]), ECOG-PS 2 (OR 2.3, 95% CI [1.1–5.2]), ADL ≤ 5 (OR 1.7, 95% CI [1.1–3.5]), serum albumin levels ≤ 3.5 g/dL (OR 3.4, 95% CI [1.7–6.6]), BMI < 23 kg/m2 (OR 2.5, 95% CI [1.3–4.9]), and hemoglobin levels < 11 g/dL (OR 2.4, 95% CI (1.2–4.7)). With these results, we built a prognostic score. The area under the ROC curve was 0.78 (95% CI, 0.73 to 0.84), and in the validation set, it was 0.73 (95% CI: 0.67–0.79). Conclusions: This simple and highly accurate tool can help physicians making decisions in elderly patients with cancer who are planned to initiate chemotherapy treatment.


2019 ◽  
Author(s):  
Chunyun Hu ◽  
Marc Paccalin ◽  
Simon Valero ◽  
Amelie Jamet ◽  
Thomas Brunet ◽  
...  

Abstract Background: Older patients with cancer require specific and individualized management. The Multidimensional Prognostic Index (MPI) based on the Comprehensive Geriatric Assessment (CGA) has shown a predictive interest in terms of mortality.Methods: From 2015 to 2017, consecutive patients ≥75 years old with cancer in Poitiers University Hospital referred to an oncogeriatric consultation. Patients underwent CGA with MPI that is categorized into three risk groups of mortality at one year.Results: Overall, 433 patients were included (women 42%; mean age 82.8±4.8 years). Most common tumor sites were prostate (23%), skin (17%), colorectum (15%) and breast (12%); 29% patients had a metastatic disease; 231 patients (53%) belonged to "MPI-1" group, 172 (40%) to "MPI-2" group and 30 patients (7%) were classified in "MPI-3" group. One-year mortality rate was 32% (23% in MPI-1, 41% in MPI-2 and 53% in MPI-3, p=0.024). All domains of MPI except cognition and living status were significantly associated with mortality at one-year, as well as tumor sites and metastatic status. Cox proportional hazard regression analysis, adjusted on age, gender, tumor sites and metastatic status, validated MPI as being associated with a higher mortality risk (p<0.0001). The prognostic value of MPI was confirmed by the area under the ROC curve at 0.826 (P <0.0001).Conclusion: Our study confirmed the predictive value of MPI for one-year mortality in older patients with cancer. This practical prognostic tool may help to optimize the management of these vulnerable patients.


2020 ◽  
Vol 11 (4) ◽  
pp. 610-616 ◽  
Author(s):  
Chiara Giannotti ◽  
Gabriele Zoppoli ◽  
Lorenzo Ferrando ◽  
Roberto Murialdo ◽  
Irene Caffa ◽  
...  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 11551-11551
Author(s):  
Elena Paillaud ◽  
Pierre Soubeyran ◽  
Nadia Oubaya ◽  
Etienne Brain ◽  
Marianne Fonck ◽  
...  

11551 Background: To assess prognostic value of routine biomarkers in older patients with cancer. Methods: A pooled analysis of three prospective multicentre cohorts, ELCAPA, PHRC Aquitaine and ONCODAGE was conducted. Patients aged 70 years or older, with cancer were included. Biomarkers collected were plasmatic C-reactive protein, albumin and a combined score: Glasgow Prognostic Score (GPS). The GPS comprised three categories (0: CRP≤10 mg/L, albumin≥35 g/L; 1: CRP≤10 mg/L and albumin < 35 g/L, or CRP > 10 mg/L and albumin≥35 g/L; 2: CRP > 10 mg/L and albumin < 35 g/L).The primary endpoint was overall survival at 12 months. Multivariable Cox models were used, adjusting for age, sex, localisation, metastatic status, performance status, frailty screening index, the G8. Discriminative properties were assessed using Harrell C index and NRI (Net Reclassification Improvement). Results: Overall 1800 patients were analyzed (ELCAPA: N = 543, PHRC Aquitaine: N = 253, ONCODAGE: N = 1004; mean age: 78.5±5.5 years; 61.7% of men; 37% metastatic; most frequent localisations: breast (34.9%) and colon-rectum (17.7%); 70.7% of patients screened at risk of frailty with G8). Overall survival was 71.1%. GPS was independently associated with death (among normal G8: GPS 1: Hazard Ratio (HR) = 4.48; 95% Confidence Interval (95% CI) = [2.03; 9.89], GPS 2: 11.64 [4.54; 29.81], among abnormal G8: GPS 1: 2.45 [1.79; 3.34], GPS 2: 3.97 [2.93; 5.37]. The addition of GPS to the clinical model (Harell C: 0.82 [0.80; 0.83]) improved discrimination (Harell C: 0.84 [0.82; 0.85], NRI: 11% [5; 19]). Conclusions: GPS could be used in older patients with cancer to help decision-making and prognosis assessment.


2011 ◽  
Vol 2 (2) ◽  
pp. 137-141 ◽  
Author(s):  
Yesne Alici ◽  
Talia Weiss ◽  
Jimmie C. Holland ◽  
Christian Nelson ◽  
Andrew Roth

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 12030-12030
Author(s):  
Jaime Feliu Batlle ◽  
Alvaro Pinto ◽  
Laura Basterretxea ◽  
Irene Paredero Pérez ◽  
Elisenda Llabres ◽  
...  

12030 Background: Determining life expectancy in older patients is needed to select the best treatment strategy. We aimed to develop and validate a score to predict early death risk ( < 6 months) in elderly patients with cancer that are planned to initiate chemotherapy treatment. Methods: Patients over 70 years starting new chemotherapy regimens were prospectively included in a multicenter study. A pre-chemotherapy assessment that included sociodemographics, tumor/treatment variables, and geriatric assessment variables, was performed. Association between these factors and early death was examined by using multivariate logistic regression. Score points were assigned to each risk factor based on their b coefficient. We validated the risk score with an external validation cohort of 206 patients. Results: Three hundred forty two patients were included in the training cohort. The independent predictors for early death were metastasic cancers (odds ratio [OR] 4.8, 95% confidence interval [CI], [2.4-9.6]), ECOG performance status (OR 2.3, 95% CI:1.084-5.232), ADL (OR 1.7, 95% CI:1.08-3.5), serum albumin levels (3.3, 95% CI: 1.6-6.6), BMI (OR 2.4, 95% CI:1,2-4.8), serum GGT levels (OR 1.5, 95% CI:1.05-1.8) and hemoglobin levels (OR 2.3, 95% CI:1.2-4.6). With these results, a score was to stratify patients regarding their risk of early death: low (0 to 2 points; 5%), intermediate (3 to 5 points; 19%) or high (6 to 14 points; 50%) (p < 0.001). The area under the curve of the receiver-operating characteristic (ROC) curve was 0.79 for the training cohort (95% CI, 0.74 to 0.85), and 0.70 (95% CI: 0.60-0.80) for the validation cohort (difference between cohorts not statistically different). Conclusions: We developed a highly accurate tool that uses basic clinical and analytical information to predict the probability of early death in elderly patients with cancer that are planned to initiate chemotherapy treatment. This tool can help physicians in decision making for this population of patients.


2021 ◽  
Vol 23 (4) ◽  
pp. 333-341
Author(s):  
Kyeonga Shin

Purpose: This study examined the effect of marital communication on cancer coping, health promoting behavior, and subjective happiness in elderly cancer patients.Methods: The participants were 88 older patients with cancer living with a spouse for at least one year. Data collected through a questionnaire covering general characteristics, marital communications, cancer coping, health promoting behavior, and subjective happiness were analyzed using descriptive statistics, Pearson’s correlation, and a simple linear regression test using the SPSS 26.0.Results: Marital communications showed a positive correlation with cancer coping (r=.54, p<.001), health promoting behavior (r=.47, p<.001), and subjective happiness (r=.46, p<.001). Positive marital communications had the greatest influence on cancer coping (β=.54, p<.001).Conclusion: The findings suggest that developing nursing interventions that can enhance marital communications between older patients with cancer and their spouses could improve their quality of living.


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