Correlation Engine 2.0
Clear Search sequence regions


  • adult (1)
  • adult diseases (1)
  • aHR 1 (2)
  • aHR1 (1)
  • follow up study (3)
  • humans (1)
  • organ (2)
  • patients (6)
  • sepsis (2)
  • Sizes of these terms reflect their relevance to your search.

    The aim was to examine predictors for all-cause mortality in a long-term follow-up study of adult patients with infectious diseases of suspected bacterial origin. A prospective observational study of patients admitted to the emergency department during 1.10.2017-31.03.2018. We used Cox regression to estimate adjusted hazard ratios (aHR) with 95% confidence intervals for mortality. A total of 2110 patients were included (median age 73 years). After a median follow-up of 2.1 years 758 (35.9%, 95% CI 33.9-38.0%) patients had died. Age (aHR1.05; 1.04-1.05), male gender (aHR 1.21; 1.17-1.25), cancer (aHR 1.80; 1.73-1.87), misuse of alcohol (aHR 1.30; 1.22-1.38), if admitted with sepsis within the last year before index admission (aHR 1.56;1.50-1.61), a Sequential Organ Failure Assessment (SOFA) score ≥2 (aHR 1.90; 1.83-1.98), SIRS criteria ≥2 (aHR 1.23;1.18-1.28) at admission to the ED, length of stay (aHR 1.05; 1.04-1.05) and devices and implants as sources of infection (aHR 7.0; 5.61-8.73) were independently associated with mortality. Skin infections and increasing haemoblobin values reduced the risk of death. More than one-third of a population of patients admitted to the emergency department with infectious diseases of suspected bacterial origin had died during a median follow up of 2.1 years. The study identified several independent predictors for mortality. Copyright © 2022. Published by Elsevier Inc.

    Citation

    Lana Chafranska, Oscar Overgaard Stenholt, Rune Husås Sørensen, S M Osama Bin Abdullah, Finn Erland Nielsen. Predictors for mortality in patients admitted with suspected bacterial infections - A prospective long-term follow-up study. The American journal of emergency medicine. 2022 Jun;56:236-243

    Expand section icon Mesh Tags


    PMID: 35462153

    View Full Text