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Deep phenotyping of oxidative stress in emergency room patients reveals homoarginine as a novel predictor of sepsis severity, length of hospital stay, and length of intensive care unit stay.
Ng, Mei Li; Kuan, Win Sen; Pakkiri, Leroy Sivappiragasam; Goh, Eugene Chen Howe; Wu, Lik Hang; Drum, Chester Lee.
Afiliação
  • Ng ML; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Kuan WS; Emergency Medicine Department, National University Hospital, National University Health System, Singapore, Singapore.
  • Pakkiri LS; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Goh ECH; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Wu LH; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Drum CL; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Front Med (Lausanne) ; 9: 1033083, 2022.
Article em En | MEDLINE | ID: mdl-36507541
ABSTRACT

Background:

We aimed to determine primary markers of oxidative stress (OS) in ED patients which predict hospital length of stay (LoS), intensive care unit (ICU) LoS, and sepsis severity. Materials and

methods:

This prospective, single center observational study was conducted in adult patients recruited from the ED who were diagnosed with either sepsis, infection without sepsis, or non-infectious, age-matched controls. 290 patients were admitted to the hospital and 24 patients had direct admission to the ICU. A panel of 269 OS and related metabolic markers were profiled for each cohort. Clinical outcomes were direct ICU admission, hospital LoS, ICU LoS, and post-hoc, adjudicated sepsis severity scoring. Bonferroni correction was used for pairwise comparisons. Principal component regression was used for dimensionality reduction and selection of plasma metabolites associated with sepsis. Multivariable negative binomial regression was applied to predict admission, hospital, and ICU LoS.

Results:

Homoarginine (hArg) was the top discriminator of sepsis severity [sepsis vs. control ROC-AUC = 0.86 (95% CI 0.81-0.91)], [sepsis vs. infection ROC-AUC = 0.73 (95% CI 0.68-0.78)]. The 25th percentile of hArg [odds ratio (OR) = 8.57 (95% CI 1.05-70.06)] was associated with hospital LoS [IRR = 2.54 (95% CI 1.83-3.52)] and ICU LOS [IRR = 18.73 (95% CI 4.32-81.27)]. In prediction of outcomes, hArg had superior performance compared to arginine (Arg) [hArg ROC-AUC = 0.77 (95% CI 0.67-0.88) vs. Arg ROC-AUC = 0.66 (95% CI 0.55-0.78)], and dimethylarginines [SDMA ROC-AUC 0.68 (95% CI 0.55-0.79) and ADMA ROC-AUC = 0.68 (95% CI 0.56-0.79)]. Ratio of hArg and Arg/NO metabolic markers and creatinine clearance provided modest improvements in clinical prediction.

Conclusion:

Homoarginine is associated with sepsis severity and predicts hospital and ICU LoS, making it a useful biomarker in guiding treatment decisions for ED patients.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article