Prognostic nutritional index is correlated with disease activity in patients with systemic lupus erythematosus

S. S. Ahn, S. M. Jung, J. J. Song, Y. B. Park, S. W. Lee

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

The prognostic nutritional index (PNI), which is calculated using serum albumin level and total lymphocyte count in the peripheral blood, is regarded as an index that reflects the immunonutritional status of patients. PNI was calculated in 217 systemic lupus erythematosus (SLE) patients according to the following formula: 10 × serum albumin value (g/dL) + 0.005 × peripheral lymphocyte count (/mm3). Pearson’s correlation analysis was used to elucidate the correlation between continuous variables. Linear and logistic regression analyses were performed to assess the correlation between laboratory variables and SLE Disease Activity Index-2000 (SLEDAI-2 K) and to differentiate between active and inactive SLE. Ninety-three patients were classified as active SLE (SLEDAI-2 K ≥ 5) and 124 as inactive SLE. Patients with active SLE exhibited lower median PNI than those with inactive SLE (39.0 vs. 49.1, p < 0.001). Multivariable logistic regression analysis revealed PNI as an independent predictor of active SLE. Multivariable linear regression analysis revealed that PNI was significantly correlated with laboratory variables of SLEDAI-2 K, erythrocyte sedimentation rate, C-reactive protein and SLEDAI-2 K. Furthermore, in patients who switched from active to inactive SLE after treatment (n = 55), PNI increased as disease activity improved (p < 0.001), which suggests that PNI may be useful for estimating SLE activity.

Original languageEnglish
Pages (from-to)1697-1705
Number of pages9
JournalLupus
Volume27
Issue number10
DOIs
Publication statusPublished - 2018 Sep 1

Bibliographical note

Funding Information:
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017R1D1A1B03029050) and a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health and Welfare, Republic of Korea (HI14C1324). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright:
© The Author(s) 2018.

All Science Journal Classification (ASJC) codes

  • Rheumatology

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