Abstract 4527
Background
Malnutrition is very common in patients with cancer and is associated with an increase in morbidity and mortality, being directly responsible for death in up to 20% of cases. The presence of nutritional deficits in the initial stages of the tumor can condition tolerability to chemotherapy. The implementation of strategies to detect early malnutrition at all stages of the disease is essential to take measures to avoid their fatal consequences and to improve the quality of life of patients.
Methods
Analysis of the results obtained in the first nursing visit of 410 patients, between July 1, 2017 and May 1, 2018. Creation and completion of a standardized nursing assessment of all patients who come for the first time to a medical oncology consultation that includes: Nutritional status (MST - Malnutrition screening tool) Tumor and patient data BMI body mass index Changes in diet, types of changes ECOG Oncological treatment prescribed (standard or reduced dose).
Results
Patients with ≥2 MST are more likely to: have a higher age than the rest be men have a higher ECOG score have a reduced treatment dose have changed their diets.
Conclusions
The objective of the anaIysis is the identification of factors related to a higher probability of malnutrition in the first visit of nursing.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2436 - Development and Validation of an RNA-Seq Assay for Gene Fusions Detection in Formalin-Fixed Paraffin-Embedded Samples
Presenter: Hua Dong
Session: Poster Display session 3
Resources:
Abstract
5271 - A Pilot Study to Implement an Artificial Intelligence (AI) System for Gastrointestinal Cancer Clinical Trial Matching
Presenter: Zhaohui Jin
Session: Poster Display session 3
Resources:
Abstract
4787 - A Blinded Comparison of Patient Treatments to Therapeutic Options Presented by an Artificial Intelligence-based Clinical Decision-support system
Presenter: Suthida Suwanvecho
Session: Poster Display session 3
Resources:
Abstract
5744 - OncOS: scalable and accurate next-generation sequencing analytics for precision oncology and personalized patient care
Presenter: Joe Thompson
Session: Poster Display session 3
Resources:
Abstract
3752 - The association between wearable device physical activity metrics and performance status in oncology: a systematic review
Presenter: Milan Kos
Session: Poster Display session 3
Resources:
Abstract
5820 - SomaticNET: neural network evaluation of somatic mutations in cancer
Presenter: Geoffroy Dubourg-Felonneau
Session: Poster Display session 3
Resources:
Abstract
4771 - Is there a role for Next-generation sequencing (NGS) profiling on metastatic non-colorectal gastrointestinal carcinomas (MNCGIC) in developing countries? A single center experience.
Presenter: Mauricio Ribeiro
Session: Poster Display session 3
Resources:
Abstract
1209 - Metastatic Cancer Whole-Exome Sequencing in daily practice
Presenter: Manon Réda
Session: Poster Display session 3
Resources:
Abstract
5702 - Genomic-Guided Individualized Precision Therapy in Refractory Metastatic Solid Tumor Patients with Extensively Poor Performance Status: A Chinese single institutional prospective observational real-world study
Presenter: Haitao Wang
Session: Poster Display session 3
Resources:
Abstract
4021 - Prospective pathological experience with research biopsies in the context of clinical trials at Vall d’Hebron Institute of Oncology
Presenter: Paolo Nuciforo
Session: Poster Display session 3
Resources:
Abstract