Lactate and NEWS-L are fair predictors of mortality in critically ill geriatric emergency department patients

Am J Emerg Med. 2020 Feb;38(2):217-221. doi: 10.1016/j.ajem.2019.02.006. Epub 2019 Feb 7.

Abstract

Introduction: In this study, we aimed to investigate the prognostic power of the first lactate level measured in the emergency department (ED), National Early Warning Score (NEWS), and NEWS-lactate (NEWS-L) on ED admission in critically ill geriatric patients.

Methods: This retrospective observational study was conducted in the ED of a university hospital. Consecutive patients ≥65 years of age admitted to our ED between July 1, 2017, and December 31, 2017, and transferred to the intensive care unit after the ED follow-up period were included in the study. The predictive performances of lactate, NEWS, and NEWS-L in terms of in-hospital mortality were compared.

Results: A total of 455 patients were included in the statistical analyses. The in-hospital mortality rate was 22.9%. The mean lactate, NEWS, and NEWS-L of non-survivors was significantly higher than those of survivors (2.9 ± 2.2 vs. 1.9 ± 1.5 mmol/L, 8.9 ± 4.1 vs. 6.1 ± 3.7, and 11.8 ± 5.0 vs. 8.1 ± 4.4, respectively, for all p < 0.001). The AUCs of the lactate, NEWS, and NEWS-L were respectively 0.654 (95% CI 0.594-0.713), 0.686 (95% CI 0.628-0.744), and 0.714 (95% CI 0.658-0.770) in predicting in-hospital mortality.

Conclusions: According to the results of this study, we conclude that ED admission lactate level and NEWS are low-accuracy predictors of in-hospital mortality in critically ill geriatric patients. Although the combination of lactate level with physiological parameters increases the predictive performances of both parameters, NEWS-L is still not a powerful predictor to make definitive clinical decisions for critically ill geriatric ED patients.

Keywords: Critically ill; Geriatrics; Lactate; NEWS; NEWS-lactate.

Publication types

  • Observational Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Area Under Curve
  • Critical Illness / mortality
  • Emergency Service, Hospital / organization & administration
  • Emergency Service, Hospital / statistics & numerical data
  • Female
  • Geriatrics / methods
  • Hospitals, University / organization & administration
  • Hospitals, University / statistics & numerical data
  • Humans
  • Lactic Acid / analysis*
  • Lactic Acid / blood
  • Male
  • Mortality
  • Predictive Value of Tests*
  • Prognosis
  • ROC Curve
  • Retrospective Studies

Substances

  • Lactic Acid