The Role of the Prognostic Inflammatory and Nutritional Index (PINI) in the Evolution of Patients with Chronic Kidney Disease and Other Pathologies

Author:

Cordos Monica1,Vlad Cristiana-Elena1,Hogas Simona-Mihaela1,Filip Roxana23ORCID,Geletu Gabriela4,Bogdan Maria5ORCID,Badescu Codruta1ORCID,Goriuc Ancuta4,Foia Liliana Georgeta4ORCID

Affiliation:

1. Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania

2. Faculty of Medicine and Biological Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania

3. Suceava Emergency County Hospital, 720224 Suceava, Romania

4. Faculty of Dentistry, “Grigore T. Popa” University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania

5. Faculty of Pharmacy, University of Medicine and Pharmacy, 200349 Craiova, Romania

Abstract

Background: Protein-energy loss and inflammation are the main risk factors in the occurrence of complications in hemodialysis patients. The Prognostic Inflammatory and Nutritional Index (PINI) is a simple, inexpensive test to identify the early onset of inflammation and malnutrition in hemodialysis patients, critically ill subjects and those with malignancies. Methods: A systemic review of English literature was conducted on the topic published between 1985 and 2022. A focused and sensitive search strategy was applied to the PUBMED database to identify relevant scientific articles in English. Once articles were identified, a detailed quality and bias assessment was performed. Two independent researchers analyzed the detailed data extraction. Results: PINI proved to be a sensitive, powerful, low-cost and simple test. PINI has been useful in assessing evolution and prognostics in clinical care, with values above one being associated with a high risk of mortality and morbidity. It is useful in cases with surgical and postoperative complications, long hospitalization, as well as increased associated expenses. Conclusions: This is the first review of the literature on the above-mentioned topic (PINI) and is a valuable candidate for validating prognosis in patients with different pathologies.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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