Phenylalanine- and leucine-defined metabolic types identify high mortality risk in patients with severe infection

Shie Shian Huang, Jui Ying Lin, Wei Siang Chen, Ming Hui Liu, Chi Wen Cheng, Mei Ling Cheng, Chao Hung Wang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

42 Scopus citations

Abstract

Objective: To investigate the prognostic value of phenylalanine and leucine in patients with severe infection. Methods: Ninety-three patients with infection who had a quick Sequential Organ Failure Assessment (qSOFA) score ≥2 were enrolled. Plasma phenylalanine, leucine, albumin, C-reactive protein, pre-albumin, and transferrin were measured and the SOFA score at enrollment was calculated after hospitalization. Results: During the 3-month follow-up, 30 (32.3%) patients died. Death was associated with higher SOFA scores, a higher incidence of bacteremia and admission to the intensive care unit, higher C-reactive protein and phenylalanine levels, worse kidney function, and lower pre-albumin and transferrin levels. Patients were categorized into three groups: high-risk type 1 (phenylalanine ≥84 μM), high-risk type 2 (phenylalanine <84 μM and leucine <93 μM), and low-risk (other). Compared to the low-risk type patients, high-risk type 1 and 2 patients had higher mortality rates (hazard ratio 10.1 (95% CI 2.33–43.5) and hazard ratio 5.56 (95% CI 1.22–25.4), respectively). Type 1 patients had higher SOFA scores, a higher incidence of admission to the intensive care unit, and higher C-reactive protein and leucine levels. Type 2 patients had lower albumin and hemoglobin levels. Multivariable analysis showed that both high-risk types were independent predictors of death. Conclusions: Phenylalanine- and leucine-defined risk classifications provide metabolic information with prognostic value for patients with severe infection.

Original languageEnglish
Pages (from-to)143-149
Number of pages7
JournalInternational Journal of Infectious Diseases
Volume85
DOIs
StatePublished - 08 2019

Bibliographical note

Publisher Copyright:
© 2019 The Authors

Keywords

  • Amino acids
  • Biomarkers
  • Infection
  • Metabolic profile
  • Prognosis

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