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Early Detection of Inflammation and Malnutrition and Prediction of Acute Events in Hemodialysis Patients through PINI (Prognostic Inflammatory and Nutritional Index)

Authors :
Monica Cordos
Maria-Alexandra Martu
Cristiana-Elena Vlad
Vasilica Toma
Alin Dumitru Ciubotaru
Minerva Codruta Badescu
Ancuta Goriuc
Liliana Foia
Source :
Diagnostics, Vol 14, Iss 12, p 1273 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Protein-energy wasting and inflammation are major risk factors for complications in hemodialysis patients. As these risk factors are triggered by a pro-inflammatory state, oxidative stress and hemodynamic dysfunction, which overlap in hemodialyzed subjects, we aimed to assess the efficacy of a cost-effective and straightforward screening tool, the Prognostic Inflammatory and Nutritional Index (PINI), in regularly screening maintenance hemodialysis (MHD) patients, to detect early signs of inflammation and malnutrition. A 12-month follow-up was carried out on a cohort of 102 adult patients undergoing maintenance dialysis, during which the Prognostic Inflammatory and Nutritional Index (PINI) was calculated using the formula alpha1-Acid Glycoprotein (AGP) × C-reactive protein (CRP)/albumin (ALB) × transthyretin (TTR). A PINI score < 1 was considered normal. The patients were stratified based on their PINI score: 66 patients (64.70%) had a normal score, below 1, while 36 patients (35.30%) had a PINI score ≥ 1. Despite the absence of clinical evidence of inflammation at enrollment, the latter group exhibited higher levels of CRP. During the follow-up period, all patients with a PINI score ≥ 1 experienced at least one acute event, compared to only 6% of patients with a normal PINI score, which presented COVID-19 infection as an acute event. The evaluation of the PINI can effectively identify the silent malnutrition–inflammation syndrome and predict the risk of acute events. This straightforward test appears to be a rapid tool that is independent of the examiner’s experience and subjectivity, thereby potentially reducing hospitalization costs.

Details

Language :
English
ISSN :
20754418
Volume :
14
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.72d8ff49d1f64a619ce7412ad76df71b
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics14121273