QRS voltage is a predictor of in-hospital mortality of acutely ill medical patients

Clin Cardiol. 2018 Aug;41(8):1069-1074. doi: 10.1002/clc.23030. Epub 2018 Aug 17.

Abstract

Background: Low QRS voltage has been shown to be associated with increased mortality in the general population and in a small pilot study the combined QRS voltage of ECG leads I and II was found to be associated with in-hospital mortality.

Hypothesis: Confirm that low QRS voltage predicts the in-hospital mortality of acutely ill patients, and compare QRS voltage with other predictors of mortality that can be easily, quickly and cheaply obtained at the bedside.

Methods: Prospective observational study of vital signs, QRS voltage and simple tools used to assess mental, functional and nutritional status at the bedside in unselected acutely ill patients admitted to a resource-poor hospital in sub-Saharan Africa.

Results: Out of 1486 patients, 77 died (5.2%) in hospital. A combined lead I + II voltage <1.8 mV was present in 789 (53.1%) of patients, and significantly associated with in-hospital mortality (odds ratio 3.6, 95% CI 2.0-6.5, χ2 21.2, P < 0.00001). On logistic regression impaired mobility, the National Early Warning Score, male gender and lead I + II voltage were the only independent predictors of mortality. None of the 445 patients who were mobile on admission with a lead I + II voltage ≥ 1.8 mV died in hospital.

Conclusions: Low QRS voltage, male gender, NEWS, and impaired mobility were independent predictors of in-hospital mortality in the study population. These four variables, which are easily obtained at the bedside, could potentially provide a rapid, easy, and cheap risk stratification system.

Keywords: ECG; QRS voltage; acute medicine; early warning scores; electrocardiogram; risk stratification; vital signs.

Publication types

  • Multicenter Study
  • Observational Study

MeSH terms

  • Acute Disease / mortality*
  • Electrocardiography*
  • Female
  • Hospital Mortality / trends
  • Humans
  • Male
  • Middle Aged
  • Pilot Projects
  • Prognosis
  • Prospective Studies
  • Severity of Illness Index
  • Sex Factors
  • Survival Rate / trends
  • Uganda / epidemiology