Back to Search
Start Over
A new nutritional risk index for predicting mortality in hemodialysis patients: Nationwide cohort study
- Source :
- PLoS ONE, Vol 14, Iss 3, p e0214524 (2019), PLoS ONE
- Publication Year :
- 2019
- Publisher :
- Public Library of Science (PLoS), 2019.
-
Abstract
- Background Protein energy wasting (PEW) is a risk factor for death. However, the cutoff vales for PEW are not optimized for early identification of hemodialysis patients with malnutrition. We evaluated the prognosis of Japanese maintenance hemodialysis patients using nutritional indices optimized for them. Materials and methods We analyzed data from a nation-wide prospective cohort study of the Japanese Society for Dialysis Therapy Renal Data Registry to develop and validate a nutritional risk index (n = 48349, 48349, respectively). The association of nutritional factors with one-year death was tested using Cox proportional hazards models. Their cutoff levels were determined from the hazard ratios or receiver operating characteristic curves. Then, risk index was developed using scoring models. Results Male was 61.4%; average age, 65.7±12.2 years; and diabetes mellitus, 32.8%. Four clinical factors were retained in the final model: low BMI (
- Subjects :
- Male
medicine.medical_treatment
030232 urology & nephrology
Cardiovascular Medicine
030204 cardiovascular system & hematology
Biochemistry
Cohort Studies
Endocrinology
0302 clinical medicine
Risk Factors
Chronic Kidney Disease
Medicine and Health Sciences
Prospective cohort study
Multidisciplinary
Hazard ratio
Prognosis
Lipids
Cholesterol
Nephrology
Cardiovascular Diseases
Creatinine
Medicine
Female
Hemodialysis
Risk assessment
Research Article
Cohort study
medicine.medical_specialty
Endocrine Disorders
Science
Nutritional Status
Risk Assessment
03 medical and health sciences
Renal Dialysis
Albumins
Internal medicine
Medical Dialysis
Diabetes Mellitus
medicine
Humans
Mortality
Risk factor
Serum Albumin
Nutrition
Aged
business.industry
Proportional hazards model
Malnutrition
Biology and Life Sciences
Proteins
Confidence interval
Metabolic Disorders
business
Biomarkers
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....d4f1f231e7d0d83d21b3cec3aedd54dc
- Full Text :
- https://doi.org/10.1371/journal.pone.0214524