Prognostic Nutritional Index Correlates with Liver Function and Prognosis in Chronic Liver Disease Patients

The Prognostic Nutritional Index (PNI) is widely recognized as a screening tool for nutrition. We retrospectively examined the impact of PNI in patients with chronic liver disease (CLD, n = 319, median age = 71 years, 153 hepatocellular carcinoma (HCC) patients) as an observational study. Factors associated with PNI < 40 were also examined. The PNI correlated well with the albumin-bilirubin (ALBI) score and ALBI grade. The 1-year cumulative overall survival rates in patients with PNI ≥ 40 (n = 225) and PNI < 40 (n = 94) were 93.2% and 65.5%, respectively (p < 0.0001). In patients with (p < 0.0001) and without (p < 0.0001) HCC, similar tendencies were found. In the multivariate analysis, hemoglobin (p = 0.00178), the presence of HCC (p = 0.0426), and ALBI score (p < 0.0001) were independent factors linked to PNI < 40. Receiver operating characteristic (ROC) curve analysis based on survival for the PNI yielded an area under the ROC curve of 0.79, with sensitivity of 0.80, specificity of 0.70, and an optimal cutoff point of 42.35. In conclusion, PNI can be a predictor of nutritional status in CLD patients. A PNI of <40 can be useful in predicting the prognosis of patients with CLD.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:14

Enthalten in:

Diagnostics (Basel, Switzerland) - 14(2023), 1 vom: 25. Dez.

Sprache:

Englisch

Beteiligte Personen:

Matsui, Masahiro [VerfasserIn]
Asai, Akira [VerfasserIn]
Ushiro, Kosuke [VerfasserIn]
Onishi, Saori [VerfasserIn]
Nishikawa, Tomohiro [VerfasserIn]
Ohama, Hideko [VerfasserIn]
Tsuchimoto, Yusuke [VerfasserIn]
Kim, Soo Ki [VerfasserIn]
Nishikawa, Hiroki [VerfasserIn]

Links:

Volltext

Themen:

Chronic liver disease
Discriminative ability
Journal Article
Malnutrition
Predictor
Prognostic Nutritional Index

Anmerkungen:

Date Revised 24.01.2024

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/diagnostics14010049

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366919407