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Nutritional and Non-Nutritional Predictors of Low Spot Urinary Creatinine Concentration in Patients with Heart Failure
- Source :
- Nutrients, Nutrients, Vol 13, Iss 3994, p 3994 (2021), Volume 13, Issue 11
- Publication Year :
- 2021
-
Abstract
- Low spot urinary creatinine concentration (SUCR) is a marker of muscle wasting and clinical outcome. The risk factors for low SUCR in heart failure (HF) remain poorly understood. We explored the risk factors for low SUCR related to poor outcomes. In 721 HF patients (age: 52.3 ± 11 years, female: 14%, NYHA: 2.7 ± 0.7) SUCR and Dexa body composition scans were performed. BMI prior HF-onset, weight loss, and appendicular muscle mass were obtained. Each patient was classified as malnutrition or normal by GLIM criteria and three other biochemical indices (CONUT, PNI, and GRNI). Sarcopenia index (SI) as creatinine to cystatin C ratio was also calculated. Within 1 year, 80 (11.1%) patients died. In ROC curve we identified a SUCR value of 0.628 g/L as optimally discriminating surviving from dead. In low SUCR group more advanced HF, higher weight loss and catabolic components of weight trajectory (CCWT), more frequent under-nutrition by GLIM, and lower SI were observed. In multivariate analysis the independent predictors of low SUCR were SI, CCWT, and GNRI score. In conclusion: the risk of low SUCR was associated with a worse outcome. Low SUCR was associated with greater catabolism and sarcopenia but not with biochemical indices of malnutrition.
- Subjects :
- Male
medicine.medical_specialty
Urinary system
Nutritional Status
Kaplan-Meier Estimate
Gastroenterology
Article
Cohort Studies
chemistry.chemical_compound
Weight loss
Internal medicine
Medicine
Humans
TX341-641
Wasting
Heart Failure
Creatinine
Nutrition and Dietetics
nutritional predictors
biology
business.industry
Nutrition. Foods and food supply
Middle Aged
medicine.disease
spot urinary creatinine concentration
Malnutrition
Cystatin C
chemistry
ROC Curve
Heart failure
Sarcopenia
biology.protein
Female
medicine.symptom
business
non-nutritional predictors
Food Science
Subjects
Details
- ISSN :
- 20726643
- Volume :
- 13
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- Nutrients
- Accession number :
- edsair.doi.dedup.....46ef8d0398b34fa90be36e07f43089d1