MSRA has low concordance with skeletal muscle mass index in mixed cancer patients: A preliminary and feasibility study.

BACKGROUND AND AIMS: Currently, there are no studies evaluating the agreement between the Mini Sarcopenia Risk Assessment (MSRA) questionnaire and skeletal muscle mass index (SMI) in cancer patients. Thus, this study aimed to evaluate the agreement of the MSRA questionnaire with SMI in cancer patients. METHODS: Cross-sectional study with 132 unselected cancer patients. The risk of sarcopenia was determined using the MSRA of 5 and 7 questions. Men and women were divided into subgroups with and without risk of sarcopenia, according to MSRA. SMI was assessed by the muscle mass divided by heigh using the Lee's formula. The ROC curve was used to estimate sensitivity, specificity, and area under the curve between MSRA 5 and 7 versus SMI. The Kappa index was used to assess the agreement between them. RESULTS: MSRA 5 and 7 showed better sensitivity values in women when compared to men. However, better specificity values were obtained in men when compared to women. Although, there was better agreement between MSRA 5/7 and SMI in women, kappa values indicated low agreement in both sexes (MSRA 5: women: 0.36 vs. men: 0.07 and MSRA 7: women: 0.22 vs. men: - 0.07). CONCLUSION: MSRA 5 and 7 questionnaires has low agreement with SMI to identify risk of sarcopenia in unselected cancer patients.

High Charlson comorbidity index value is not associated with muscle strength in unselected cancer patients.

BACKGROUND AND AIMS: Cancer patients usually lose muscle mass and strength during progression of tumor or treatment. One of the simplest, easiest, and cheapest methods to assess muscle strength is by handgrip strength (HGS), which has been widely used during clinical practice. However, it is not established whether the presence of comorbidities, when assessed by the Charlson Comorbidities Index (CCI), is associated with lower HGS in cancer patients. Thus, this study sought to verify if low HGS is associated with highest CCI in cancer patients. METHODS: Cross-sectional study enrolled 167 cancer patients of both sexes diagnosed with cancer. The sample was divided into two groups, CCI <5: low comorbidity or CCI ≥5: high comorbidity number. Muscle strength was assessed by digital dynamometer. Student t and Chi-square tests were performed to analyze the differences between groups and logistic regression was used to verify the association between CCI and HGS, in the crude (model 1) and adjusted for confounding variables (model 2). RESULTS: Patients from the CCI ≥5 group were older (65.0 ± 11.3 vs. 55.3 ± 13.1; p < 0.05), hospitalized (p < 0.05), and the gastrointestinal and accessory organs of digestion tumors were more prevalent when compared to the CCI <5 group. The logistic regression in the crude model showed a negative association between CCI and HGS (OR: 0.94 [95%CI: 0.90-0.98], p = 0.006), however, after adjusting for confounders variables this association was lost (OR: 0.98 [95%CI: 0.94-1.03], p = 0.58). CONCLUSION: In patients with cancer, there is no independent association between HGS and CCI.

Charlson comorbidity index is not associated with neutrophil-lymphocytes ratio in unselected hospitalized cancer patients: A cross-sectional study.

This study sought to evaluate the association between Charlson Comorbidity Index (CCI) and neutrophil lymphocyte ratio (NLR). Cross-sectional study evaluated 134 patients of both sexes diagnosed with several types of cancer. NLR was calculated by dividing the absolute value of neutrophils by lymphocytes count, and the CCI questionnaire was used to assess the risk of comorbidities and mortality. The sample was dichotomized in CCI < 5 or ≥5. Student's t-test and Chi-square test were calculated to analyze the differences. The association between CCI and NLR was investigated by logistic regression analysis, performed with model 1 (crude) and model 2 (adjusted). The patients in the CCI ≥ 5 group were older, with higher neutrophil levels and prevalence of solid tumor type. There was no difference between groups regarding type of treatment, body weight, body mass index, performance status, lymphocyte count and NLR. There was no association between CCI and NLR, in both crude model (OR: 1.04 [95% CI: 0.99-1.09], p = 0.09), as well as adjusted for sex, age, physical activity, alcohol consumption, smoking habit, type of treatment, and performance status (OR: 1.04 [95% CI:0.97-1.12], p = 0.19). In hospitalized unselected cancer patients, despite of small sample size and design of study, we showed the presence of comorbidities is not related to the NLR.