Predictors for mortality in patients admitted with suspected bacterial infections – A prospective long-term follow-up study
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...
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Published in | The American journal of emergency medicine Vol. 56; pp. 236 - 243 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.06.2022
Elsevier Limited |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Undefined-3 |
ISSN: | 0735-6757 1532-8171 1532-8171 |
DOI: | 10.1016/j.ajem.2022.04.002 |