EPISEPSIS: a reappraisal of the epidemiology and outcome of severe sepsis in French intensive care units
Abstract
Objective Ten years ago 8.4% of patients in French intensive care units (ICUs) were found to have severe sepsis or shock and 56% died in the hospital. As novel therapies for severe sepsis are emerging, updated epidemiological information is required. Design and setting An inception cohort study conducted in 206 ICUs of randomly selected hospitals over a 2-week period in 2001, including all patients meeting criteria for clinically or microbiologically documented severe sepsis (with > or =1 organ dysfunction). Measurements and results Among 3738 admissions, 546 (14.6%) patients experienced severe sepsis or shock, of which 30% were ICU-acquired. The median age of patients was 65 years, and 54.1% had at least one chronic organ system dysfunction. The median (range) Simplified Acute Physiology Score (SAPS II) and Sequential Organ Failure Assessment (SOFA) at onset of severe sepsis were 48 (2-129) and 9 (1-24), respectively. Mortality was 35% at 30 days; at 2 months the mortality rate was 41.9%, and 11.4% of patients remained hospitalized. The median (range) hospital stay was 25 (0-112) days in survivors and 7 (0-90) days in non-survivors. Chronic liver and heart failure, acute renal failure and shock, SAPS II at onset of severe sepsis and 24-h total SOFA scores were the independent risk factors most strongly associated with death. Conclusions Although the attack rate of severe sepsis in French ICUs appears to have increased over the past decade, its associated mortality has decrea…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Different pathogens have different sensitivities to antibacterial drugs, characteristics of organ distribution and other biological behaviors, which lead to different clinical manifestations and prognoses.
“It is well established that different pathogens have different sensitivities to antibacterial drugs, characteristics of organ distribution and other biological behaviors, which lead to different clinical manifestations and prognoses.13,14”
From Identification of heptapeptides targeting a lethal bacterial strain in septic mice through an integrative approach (2022) · cites this paper as [13]
The citation lists haven’t been fetched yet
References 36 · Cited by 638
- Authors
- The EPISEPSIS Study Group
- Affiliations
- Centre Hospitalier Universitaire Henri-Mondor (FR)
- Corresponding author
- The EPISEPSIS Study Group
- Venue
- Intensive Care Medicine
- Published
- 2004-04-01
- Volume
- 30
- Issue
- 4
- Pages
- 580-588
- ISSN
- 0342-4642 (ISSN-L)
- 1432-1238
- OpenAlex
- W2397664387
- Cited by
- 638
- References
- 36
- Citations by year
- 2026: 4 · 2025: 14 · 2024: 17 · 2023: 12 · 2022: 22 · 2021: 28 · 2020: 40 · 2019: 30 · 2018: 32 · 2017: 23 · 2016: 43 · 2015: 35 · 2014: 37 · 2013: 29 · 2012: 29
- FWCI
- 29.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Intensive Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Eli Lilly and Company
- Topics
- Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Nosocomial Infections in ICU
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Keywords
- severe sepsis, septic shock, sepsis epidemiology, sepsis mortality, mortality risk factors, organ dysfunction, acute kidney injury, chronic liver disease, heart failure, length of hospital stay, resource utilization (health care)
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Female, France, Humans, Intensive Care Units, Male, Middle Aged, Prognosis, Prospective Studies, Risk Factors, Sex Factors, Cohort Studies, Survival Rate, Multivariate Analysis, Sepsis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review