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Purpose: This study aimed to analyze the impact of patients' nutritional status and changes in body composition on the prognosis of metastatic renal cell carcinoma (mRCC) patients who received systemic therapy with tyrosine kinase inhibitors (TKIs).
Methods: A total of 57 mRCC patients who received systemic therapy with TKIs as first-line therapy at our facility between November 2004 and October 2018 were included. The Prognostic Nutritional Index (PNI) was used to evaluate their nutritional status. The volumes of skeletal muscle mass and fat tissue were calculated using the SYNAPSE VINCENT system. The effects of nutritional status and body composition of mRCC patients on progression-free survival (PFS) and overall survival (OS) were analyzed using Cox regression methods.
Results: Low PNI at the start of systemic therapy was a significant prognostic predictor for OS (HR 3.807 [95% CI 1.205-12.027], P=0.046), and it was related to loss of muscle mass three months after systemic therapy. Although the loss of muscle mass at the start of systemic therapy was not associated with OS, loss of muscle mass during treatment predicted worse OS.
Conclusions: Nutritional status of mRCC patients may predict changes in body composition and be associated with their prognosis. J. Med. Invest. 70 : 80-87, February, 2023.
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http://dx.doi.org/10.2152/jmi.70.80 | DOI Listing |
PLoS One
September 2025
University of Health and Allied Sciences, Volta Region-Ho, Ghana.
Introduction: The alarming rate of drug-resistant tuberculosis (DR-TB) globally is a threat to treatment success among positive tuberculosis (TB) cases. Studies aimed at determining the prevalence, trend of DR-TB and socio-demographic and clinical risk factors contributing to DR-TB in the four regions of Ghana are currently unknown. This study sought to determine the prevalence and trend of DR-TB, identify socio-demographic and clinical risk factors that influence DR-TB, and analyse the relationship between underweight and adverse drug reactions and treatment outcomes among DR-TB patients in four regions of Ghana.
View Article and Find Full Text PDFJ Hum Nutr Diet
October 2025
Haszard Biostatistics, Otago, New Zealand.
Introduction: Dependent older adults in residential aged care are at increased risk of inadequate micronutrient intakes. Knowledge of dietary intakes in this group is needed to inform clinical decision making and guide nutrition policy and menu planning. This study aimed to determine the usual intake and food sources of micronutrients of New Zealand aged-care residents.
View Article and Find Full Text PDFJ Occup Health
September 2025
Department of Preventive Medicine, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
Background: Shift work is associated with irregular dietary habits and poor nutritional intake, increasing the risk of chronic diseases. This study aimed to assess dietary quality and nutritional intake according to shift work status among Korean adult workers.
Methods: Data from 15,121 adult workers aged ≥20 years from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted between 2013 and 2021 were analyzed.
Compr Rev Food Sci Food Saf
September 2025
Halal Products Research Institute, Universiti Putra Malaysia, Serdang, Malaysia.
The food system is under increased pressure because of the need for sustainability, greater food safety, and increasing need for protein sources. Grasshopper-based food products are becoming a new option. Products made from grasshoppers represent a sustainable and nutritious alternative to traditional livestock.
View Article and Find Full Text PDFPsychogeriatrics
September 2025
Shanghai University of Medicine and Health Sciences, School of Nursing and Health Management, Shanghai, China.
Background: Cognitive frailty (CF), characterised by the co-occurrence of physical frailty and mild cognitive impairment, poses significant risks for adverse health outcomes in community-dwelling older adults, yet effective prediction tools remain limited.
Objective: This study aimed to develop and validate a nomogram model for predicting CF risk in community-dwelling older adults based on multidimensional mental and physical functional markers.
Methods: A cross-sectional analysis included 481 participants (mean age 69.