The Relationship between ECOG-PS, mGPS, BMI/WL Grade and Body Composition and Physical Function in Patients with Advanced Cancer

Cancer remains one of the leading causes of mortality worldwide and the associated reduction in physical function has a marked impact on both quality of life and survival. The aim of the present study was to examine the relationship between Eastern Cooperative Oncology Group-Performance status (ECOG-PS), modified Glasgow Prognostic Score (mGPS), Body Mass Index/ Weight Loss grade (BMI/WL grade), and Computerised Tomography (CT)-derived body composition measurement and physical function in patients with advanced cancer. Nine sites contributed prospective data on patient demographics, ECOG-PS, mGPS, physical function tests, and CT-derived body composition. Categorical variables were analysed using χ2 test for linear-by-linear association, or χ2 test for 2-by-2 tables. Associations were analysed using binary logistic regression. A total of 523 cancer patients (266 males, 257 females) were included in the final analysis and most had metastatic disease (83.2%). The median overall survival was 5.6 months. On multivariate binary logistic regression analysis, a high ECOG-PS remained independently associated with a low skeletal muscle index (p < 0.001), low skeletal muscle density (p < 0.05), and timed up and go test failure (p < 0.001). A high mGPS remained independently associated with a low skeletal muscle density (p < 0.05) and hand grip strength test failure (p < 0.01). A high BMI/WL grade remained independently associated with a low subcutaneous fat index (p < 0.05), low visceral obesity (p < 0.01), and low skeletal muscle density (p < 0.05). In conclusion, a high ECOG-PS and a high mGPS as outlined in the ECOG-PS/mGPS framework were consistently associated with poorer body composition and physical function in patients with advanced cancer.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Cancers - 12(2020), 5 vom: 08. Mai

Sprache:

Englisch

Beteiligte Personen:

Dolan, Ross D [VerfasserIn]
Daly, Louise E [VerfasserIn]
Simmons, Claribel Pl [VerfasserIn]
Ryan, Aoife M [VerfasserIn]
Sim, Wei Mj [VerfasserIn]
Fallon, Marie [VerfasserIn]
Power, Derek G [VerfasserIn]
Wilcock, Andrew [VerfasserIn]
Maddocks, Matthew [VerfasserIn]
Bennett, Michael I [VerfasserIn]
Usborne, Caroline [VerfasserIn]
Laird, Barry J [VerfasserIn]
McMillan, Donald C [VerfasserIn]

Links:

Volltext

Themen:

Advanced cancer
Body composition
Computed tomography
ECOG
Glasgow prognostic score
Journal Article
Physical function testing
Systemic inflammation

Anmerkungen:

Date Revised 16.02.2022

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/cancers12051187

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM309801575