Literature DB >> 33513564

Associations of Skeletal Muscle With Symptom Burden and Clinical Outcomes in Hospitalized Patients With Advanced Cancer.

Emily van Seventer1, J Peter Marquardt2, Amelie S Troschel2, Till D Best2,3, Nora Horick4, Chinenye Azoba1, Richard Newcomb1, Eric J Roeland1, Michael Rosenthal5,6, Christopher P Bridge7, Joseph A Greer8, Areej El-Jawahri1, Jennifer Temel1, Florian J Fintelmann2, Ryan D Nipp1.   

Abstract

BACKGROUND: Low muscle mass (quantity) is common in patients with advanced cancer, but little is known about muscle radiodensity (quality). We sought to describe the associations of muscle mass and radiodensity with symptom burden, healthcare use, and survival in hospitalized patients with advanced cancer.
METHODS: We prospectively enrolled hospitalized patients with advanced cancer from September 2014 through May 2016. Upon admission, patients reported their physical (Edmonton Symptom Assessment System [ESAS]) and psychological (Patient Health Questionnaire-4 [PHQ-4]) symptoms. We used CT scans performed per routine care within 45 days before enrollment to evaluate muscle mass and radiodensity. We used regression models to examine associations of muscle mass and radiodensity with patients' symptom burden, healthcare use (hospital length of stay and readmissions), and survival.
RESULTS: Of 1,121 patients enrolled, 677 had evaluable muscle data on CT (mean age, 62.86 ± 12.95 years; 51.1% female). Older age and female sex were associated with lower muscle mass (age: B, -0.16; P<.001; female: B, -6.89; P<.001) and radiodensity (age: B, -0.33; P<.001; female: B, -1.66; P=.014), and higher BMI was associated with higher muscle mass (B, 0.58; P<.001) and lower radiodensity (B, -0.61; P<.001). Higher muscle mass was significantly associated with improved survival (hazard ratio, 0.97; P<.001). Notably, higher muscle radiodensity was significantly associated with lower ESAS-Physical (B, -0.17; P=.016), ESAS-Total (B, -0.29; P=.002), PHQ-4-Depression (B, -0.03; P=.006), and PHQ-4-Anxiety (B, -0.03; P=.008) symptoms, as well as decreased hospital length of stay (B, -0.07; P=.005), risk of readmission or death in 90 days (odds ratio, 0.97; P<.001), and improved survival (hazard ratio, 0.97; P<.001).
CONCLUSIONS: Although muscle mass (quantity) only correlated with survival, we found that muscle radiodensity (quality) was associated with patients' symptoms, healthcare use, and survival. These findings underscore the added importance of assessing muscle quality when seeking to address adverse muscle changes in oncology.

Entities:  

Year:  2021        PMID: 33513564     DOI: 10.6004/jnccn.2020.7618

Source DB:  PubMed          Journal:  J Natl Compr Canc Netw        ISSN: 1540-1405            Impact factor:   11.908


  5 in total

1.  A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.

Authors:  Christopher P Bridge; Till D Best; Maria M Wrobel; J Peter Marquardt; Kirti Magudia; Cylen Javidan; Jonathan H Chung; Jayashree Kalpathy-Cramer; Katherine P Andriole; Florian J Fintelmann
Journal:  Radiol Artif Intell       Date:  2022-01-05

2.  The effect of sarcopenic obesity and muscle quality on complications after DIEP-flap breast reconstruction.

Authors:  N Sadok; M E Hartmans; G H de Bock; J M Klaase; P M N Werker; A R Viddeleer; L Jansen
Journal:  Heliyon       Date:  2022-05-11

3.  Deep learning-based quantification of temporalis muscle has prognostic value in patients with glioblastoma.

Authors:  Ella Mi; Radvile Mauricaite; Lillie Pakzad-Shahabi; Jiarong Chen; Andrew Ho; Matt Williams
Journal:  Br J Cancer       Date:  2021-11-30       Impact factor: 7.640

4.  Association between malnutrition and leucopenia in patients with osteosarcoma.

Authors:  Haixiao Wu; Shu Li; Yile Lin; Jun Wang; Vladimir P Chekhonin; Karl Peltzer; Vladimir P Baklaushev; Kirellos Said Abbas; Jin Zhang; Huiyang Li; Chao Zhang
Journal:  Front Nutr       Date:  2022-07-28

5.  Percentile-based averaging and skeletal muscle gauge improve body composition analysis: validation at multiple vertebral levels.

Authors:  J Peter Marquardt; Eric J Roeland; Emily E Van Seventer; Till D Best; Nora K Horick; Ryan D Nipp; Florian J Fintelmann
Journal:  J Cachexia Sarcopenia Muscle       Date:  2021-11-02       Impact factor: 12.910

  5 in total

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