To determine the association of malnutrition with the quality of life in patients with chronic kidney disease undergoing hemodialysis in Manila, Philippines. We conducted a cross-sectional study involving 144 CKD subjects undergoing maintenance hemodialysis at the Outpatient Clinic of Philippine General Hospital and four nearby hemodialysis centers within the area. The study was conducted from November 2024 to March 2025. Demographic and clinical data were collected from patients and from dialysis records. Nutritional status was assessed using the Mini Nutritional Assessment Short Form while the quality of life was measured using the Filipino version of Kidney Disease Quality of Life- Short Form Version 1.3. Statistical analysis included ANOVA and chi-square to determine the associations. Of the 144 subjects, 38.89% were at risk for malnutrition, 10.42% were malnourished, while the rest scored normal in the MNA-SF. KDQOL-SF analysis showed highest scores on symptoms of kidney disease and social support. Significant associations were found between nutritional status and KDQOL components including symptoms of kidney disease (p=0.004), effects of kidney disease (p=0315), bodily pain (p=0.0005), general health (0.0008), emotional well-being (0.0065), social function (p=0.002), energy (p=0.0121), physical health component (p=0.0633), and mental health component (p=0.0196). In these subsets, presence of malnutrition had lower mean scores compared to those with normal nutritional status. The presence of malnutrition is significantly associated with some, but not all aspects in the assessment of quality of life. This includes major subsets like physical component, mental component, symptoms of kidney disease, and effects of kidney disease wherein there was noted poorer quality of life with deteriorating nutritional status. This confers some benefit in addressing malnutrition to further improve their quality of life. However, more studies are needed and a combination of different anthropometric measurements, nutritional scoring, and quality of life assessment tools can be utilized for better correlation.