Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5 Άγιος Νικόλαος
Κρήτη 72100
00302841026182
00306932607174
alsfakia@gmail.com

Αρχειοθήκη ιστολογίου

! # Ola via Alexandros G.Sfakianakis on Inoreader

Η λίστα ιστολογίων μου

Παρασκευή 29 Ιουνίου 2018

Predicting early death in older adults with cancer

S09598049.gif

Publication date: September 2018
Source:European Journal of Cancer, Volume 100
Author(s): Rabia Boulahssass, Sebastien Gonfrier, Jean -Marc Ferrero, Marine Sanchez, Véronique Mari, Olivier Moranne, Cyrielle Rambaud, Francine Auben, Jean -Michel Hannoun levi, Jean -Marc Bereder, Isabelle Bereder, Patrick Baque, Jean Michel Turpin, Anne-Claire Frin, Delphine Ouvrier, Delphine Borchiellini, Remy Largillier, Guillaume Sacco, Jerome Delotte, Cyprien Arlaud, Daniel Benchimol, Matthieu Durand, Ludovic Evesque, Abakar Mahamat, Gilles Poissonnet, Jérôme Mouroux, Jérôme Barriere, Emmanuel Benizri, Thierry Piche, Joel Guigay, Eric Francois, Olivier Guerin
BackgroundPredicting early death after a comprehensive geriatric assessment (CGA) is very difficult in clinical practice. The aim of this study was to develop a scoring system to estimate risk of death at 100 days in elderly cancer patients to assist the therapeutic decision.MethodsThis was a multicentric, prospective cohort study approved by an ethics committee. Elderly cancer patients aged older than 70 years were enrolled before the final therapeutic decision. A standardised CGA was made before the treatment decision at baseline. Within 100 days, event (death), oncologic and geriatric data were collected. Multivariate logistic regression was used to select the risk factors for the overall population. Score points were assigned to each risk factor using the β coefficient. Internal validation was performed by a bootstrap method. Calibration was assessed with the Hosmer–Lemeshow goodness of fit test and accuracy with the mean c-statistic.FindingsOne thousand fifty patients (mean age: 82 years) joined the study from April 2012 to December 2014. The independent predictors were metastatic cancers (odds ratio [OR] 2.5; 95% confidence interval [CI], [1.7–3.5] p<0 .001); gait speed<0.8 m/s (OR 2.1; 95% CI [1.3–3.3] p=0.001); Mini Nutritional Assessment (MNA) < 17 (OR 8; 95% CI; [3.7–17.3] p<0.001), MNA ≤23.5 and ≥ 17 (OR 4.4; 95% CI, [2.1–9.1) p<0.001); performance status (PS) > 2 (OR 1.7; 95% CI, [1.1–2.6)] p=0.015) and cancers other than breast cancer (OR 4; 95% CI, [2.1–7.9] p<0.001). We attributed 4 points for MNA<17, 3 points for MNA between ≤23.5 and ≥ 17, 2 points for metastatic cancers, 1 point for gait speed <0.8 m/s, 1 point for PS > 2 and 3 points for cancers other than breast cancer. The risk of death at 100 days was 4% for 0 to 6 points, 24% for 7 to 8 points, 39% for 9 to 10 points and 67% for 11 points.InterpretationTo our knowledge, this is the first score which estimates early death in elderly cancer patients. The system could assist in the treatment decision for elderly cancer patients.



https://ift.tt/2NeRTxw

Δεν υπάρχουν σχόλια:

Δημοσίευση σχολίου

Αρχειοθήκη ιστολογίου