Predictors of nutritional and inflammation risk in hemodialysis patients.

Predictors of nutritional and inflammation risk in hemodialysis patients.

Sá Martins, V;Aguiar, L;Dias, C;Lourenço, P;Pinheiro, T;Velez, B;Borges, N;Adragão, T;Calhau, C;Macário, F;
Clinical nutrition (Edinburgh, Scotland) 2019
308
s-martins2019predictorsclinical

Abstract

Malnutrition and chronic inflammation are prevalent complications in hemodialysis (HD) patients. Different nutritional assessment tools are used to identify patients at risk. A composite and comprehensive malnutrition inflammation score (MIS) has been correlated with morbidity and mortality, and appears to be a robust and quantitative tool.Determine malnutrition risk profile in a sample of portuguese HD patients; determine the association of clinical and laboratory factors with MIS, and the impact of each parameter on MIS.We performed, between September 15th of 2015 and January 31st of 2016, a cross sectional analysis of 2975 patients, representing 25% of portuguese HD patients. 59% were men (66.7 ± 14.8 years); 31% diabetic; 79% and 21% performed, respectively, high-flux HD and HDF. A MIS >5 was considered to indicate higher risk and was present in 1489 patients (50%). Amongst all parameters, comorbilities/dialysis vintage, transferrin, functional capacity, changes in body weight and decreased fat stores showed the higher impact, while albumin had one of the lowest impact on the nutritional risk.Higher age (>75 years, OR 1.71, p < 0.001), diabetes (OR 1.25, p = 0.026), lower P levels (OR 1.57,p = 0.001), higher Ca levels (OR 1.51, p < 0.001), higher ERI (OR 1.05, p < 0.001), higher Kt/V (OR 2.14, p < 0.001) and higher CRP (OR 1.01, p < 0.001) were independently associated with a higher risk of MIS>5; higher nPNA (OR 0.29, p < 0.001) and higher Pcreat (OR 0.88, p < 0.001) were associated with a risk reduction of MIS>5 (95% CI).Routine clinical and analytic parameters were found to be associated with MIS range that might indicate higher risk, and may represent a simple alert sign for the need of further assessments.

Citation

ID: 48605
Ref Key: s-martins2019predictorsclinical
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
48605
Unique Identifier:
S0261-5614(19)30311-5
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet