Identifying Patients With Sepsis on the Hospital Wards

Bhattacharjee, Poushali; Edelson, Dana P.; Churpek, Matthew M.

doi:10.1016/j.chest.2016.06.020

Cited by 120Sepsis Diagnosis and TreatmentInflammation biomarkers and pathwaysAcute Kidney Injury Research

Identifying Patients With Sepsis on the Hospital Wards

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Bhattacharjee, Poushali, Edelson, Dana P., Churpek, Matthew M.·2017·Chest

DOI 10.1016/j.chest.2016.06.020PMC PMC5472513

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Abstract

Sepsis contributes to up to half of all deaths in hospitalized patients, and early interventions, such as appropriate antibiotics, have been shown to improve outcomes. Most research has focused on early identification and treatment of patients with sepsis in the ED and the ICU; however, many patients acquire sepsis on the general wards. The goal of this review is to discuss recent advances in the detection of sepsis in patients on the hospital wards. We discuss data highlighting the benefits and limitations of the systemic inflammatory response syndrome (SIRS) criteria for screening patients with sepsis, such as its low specificity, as well as newly described scoring systems, including the proposed role of the quick sepsis-related organ failure assessment (qSOFA) score. Challenges specific to detecting sepsis on the wards are discussed, and future directions that use big data approaches and automated alert systems are highlighted.

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Sepsis screening tools vary widely in diagnostic accuracy, with most having poor predictive values, although use of some is associated with improvements in care processes.
“There is wide variation in diagnostic accuracy of these tools with most having poor predictive values, although the use of some was associated with improvements in care processes [28–31].”
From Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021 (2021) · cites this paper as [29]

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Authors: Bhattacharjee, P., Edelson, D. P., & Churpek, M. M.
Affiliations: University of Chicago (US)
Corresponding author: Churpek, Matthew M.
ORCID: Bhattacharjee, Poushali
Edelson, Dana P.
Churpek, Matthew M.
Venue: Chest
Publisher: Elsevier BV
Published: 2017-04
Volume: 151
Issue: 4
Pages: 898-907
ISSN: 0012-3692 (ISSN-L)
DOI: 10.1016/j.chest.2016.06.020
PMC: PMC5472513
OpenAlex: W2465673526
Cited by: 120
References: 57
Citations by year: 2026: 6 · 2025: 6 · 2024: 12 · 2023: 11 · 2022: 9 · 2021: 15 · 2020: 17 · 2019: 19 · 2018: 11 · 2017: 11 · 2016: 2
FWCI: 1.94
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: CHEST Journal (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: American Heart Association
Agency for Healthcare Research and Quality (T32HS000078)
National Heart, Lung, and Blood Institute (K08HL121080)
Topics: Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
Life Sciences › Immunology and Microbiology › Immunology › Inflammation biomarkers and pathways
Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
Keywords: sepsis, sepsis detection, hospital wards, systemic inflammatory response syndrome, SIRS criteria, qSOFA score, sepsis screening, scoring system, automated alert system, big data
MeSH terms: Diagnosis, Differential, Hospitalization, Humans, Hospital Mortality, Systemic Inflammatory Response Syndrome, Sepsis, Decision Support Systems, Clinical, Organ Dysfunction Scores

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Identifying Patients With Sepsis on the Hospital Wards

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