scholarly journals The relationship between quality of life in sarcopenia and skeletal muscle index in patients with advanced lung cancer

2021 ◽  
Vol 11 (11) ◽  
pp. 100-107
Author(s):  
V. Kechedzhyiev

Introduction. Today the relevance of sarcopenia is increasing in various types of malignant neoplasms.This syndrome is most common in patients with advanced forms of cancer and can adversely affect survival, treatment outcomes, and functional status. The prevalence of sarcopenia in patients with lung cancer is higher than in other types of malignant tumors. To understand the relationship between sarcopenia and quality of life is especially important for patients with advanced cancer. Aim. To assess the relationship between skeletal muscle index (SMI) and quality of life in sarcopenia in patients with advanced lung cancer. Materials and methods. A prospective analysis was carried out of 28 patients with advanced lung cancer who have applied to the “ONCOLIFE” Medical Center since the beginning of 2021. All patients had sarcopenia on CT scan. Skeletal muscle cross-sectional area analyzed using software ImageJ (National Institutes of Health, Bethesda, MD, USA). To determine the quality of life in sarcopenia a questionnaire SarQoL was used. Pearson's correlation analysis was used to assess the correlation between quality of life and SMI. Results. Pearson's correlation analysis showed a statistically significant positive correlation between quality of life and SMI (r = 0,451, р = 0,016, N=28). Body mass index (BMI) positively correlated with quality of life (r = 0,398, р = 0,036, N=28), and age negatively correlated with SMI (r = -0,391, р = 0,040, N=28). There was no statistically significant correlation between indicators such as BMI and SMI, as well as age and quality of life. Conclusions. Quality of life in sarcopenia statistically significantly correlates with SMI in patients with metastatic lung cancer. Early diagnosis of sarcopenia is essential for timely prescription of treatment aimed at maintaining and better muscle mass, which can improve cancer patients quality of life.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 12122-12122
Author(s):  
Lauren Heuer ◽  
Kathryn Elizabeth Post ◽  
Emily R. Gallagher ◽  
Chardria Trotter ◽  
Madeleine Elyze ◽  
...  

12122 Background: It is unclear whether patients with cancer experience greater distress as a result of the COVID-19 pandemic. Thus, we assessed the relationship of the COVID-19 pandemic with quality of life (QOL) and depression symptoms in patients newly diagnosed with advanced lung cancer. Methods: We conducted a cross-sectional study of patients with advanced lung cancer enrolled in two multisite randomized supportive care trials. We enrolled adult patients within 12 weeks of diagnosis of advanced lung cancer and an Eastern Cooperative Oncology Group (ECOG) Performance Status from 0 to 3 across 23 institutions in the United States. At the time of enrollment, participants completed the Functional Assessment of Cancer Therapy-Lung (FACT-L), which includes four wellbeing subscales (i.e., physical, social, emotional, and functional) as well as lung cancer symptoms, and the Patient Health Questionnaire-9 (PHQ-9) to assess their QOL and depression symptoms, respectively. We compared QOL and depression symptoms between participants enrolled prior to COVID-19 (i.e., those enrolled in the following time periods: March 2018 to January 2019 and March 2019 to January 2020) and during the COVID-19 pandemic (March 2020 to January 2021). We used linear regression models adjusting for age, race, gender, and time since diagnosis of advanced cancer to examine the relationship between the period of enrollment and patients’ QOL and depression symptoms. Results: A total of 860 patients were included in this analysis (665 participants enrolled prior to COVID-19 and 195 participants during COVID-19). The two cohorts did not differ significantly with respect to baseline demographic factors [Mean age 65.4 (SD = 11.4), 51.9% female]. In multivariate regression models, enrollment during COVID-19 was not associated with physical (B = -0.16, SE = 0.52, P = 0.763), social (B = -0.48, SE = 0.39, P = 0.217), emotional (B = -0.16, SE = 0.41, P = 0.693), functional (B = -0.83, SE = 0.55, P = 0.128) wellbeing, or lung cancer symptoms (B = -0.11, SE = 0.44, P = 0.806). Enrollment during COVID-19 was not associated with overall QOL (FACT-L: B = -1.32, SE = 1.69, P = 0.436) or depression symptoms (PHQ-9: B = -0.02, SE = 0.45, P = 0.973). Conclusions: Despite the prevailing belief that COVID-19 has negatively impacted QOL and distress in patients with cancer, we found no differences in QOL or depression symptoms in patients newly diagnosed with advanced lung cancer during the COVID-19 pandemic compared to those diagnosed prior to the pandemic. These findings suggest that factors other than the COVID-19 pandemic, such as patients’ experience with their cancer, contribute to their QOL and depression symptoms.


2018 ◽  
Vol 35 (1) ◽  
pp. 93-99
Author(s):  
Krzysztof Adamowicz ◽  
Justyna Janiszewska ◽  
Monika Lichodziejewska-Niemierko

2017 ◽  
Vol 26 (2) ◽  
pp. 515-519 ◽  
Author(s):  
Grainne C. Brady ◽  
Justin W. G. Roe ◽  
Mary O’ Brien ◽  
Annette Boaz ◽  
Clare Shaw

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yi Han ◽  
Haifeng Ji ◽  
Li Liu ◽  
Yuncheng Zhu ◽  
Xixi Jiang

Background. The cross-sectional study is aimed at investigating the relationship between cortisol, testosterone, and metabolic characteristics among male schizophrenics. Methods. 174 patients were grouped based on their risk of metabolic syndrome (MetS) into the non-MetS, high-risk-MetS (HR-MetS), or MetS groups. Metabolic indices (body mass index (BMI), mean arterial pressure (MAP), cholesterol, triglyceride, and fasting blood glucose (FBG)) were associated with cortisol and testosterone levels using correlation analysis. Multiple linear regression analysis was used to associate the correlations between the WHO Quality of Life–BREF (WHOQOL–BREF) score and the five metabolic indices. Results. The WHOQOL–BREF score for the non-MetS group significantly differed from the scores of the HR-MetS and MetS groups. The triglyceride level was positively correlated with the cortisol level, while all five metabolic indices were negatively correlated with testosterone level. Stepwise regression analysis produced a model predicting WHOQOL–BREF scores with four variables including MAP, intelligence quotient (IQ), FBG, and age. The correlation analysis then showed that there was a weak linear correlation between the testosterone level and all five metabolic indices. Conclusions. Among the five metabolic indices, the risks of hypertension and hyperglycemia are correlated with the quality of life in male schizophrenics rather than those of obesity or hyperlipidemia.


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