The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Identifying Patients With Sepsis on the Hospital Wards
Open accessAbstract
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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“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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Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock
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2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference
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Cited by
Sorted by citations
Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock 2021.
Evans, L., Rhodes, A., Alhazzani, W., Antonelli, M., Coopersmith, C. M., French, C., Machado, F. R., Mcintyre, L., Ostermann, M., Prescott, H. C., et al. (2021) · Critical Care Medicine · doi:10.1097/ccm.0000000000005337 · Cited by 2,935
Sepsis associated acute kidney injury
Poston, J. T., & Koyner, J. L. (2019) · BMJ · doi:10.1136/bmj.k4891 · Cited by 917
Fernando, S. M., Tran, A., Taljaard, M., Cheng, W., Rochwerg, B., Seely, A. J. E., & Perry, J. J. (2018) · Annals of Internal Medicine · doi:10.7326/m17-2820 · Cited by 281
Prediction of sepsis patients using machine learning approach: a meta-analysis
Islam, M. M., Nasrin, T., Walther, B. A., Wu, C.-C., Yang, H.-C., & Li, Y.-C. (2019) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2018.12.027 · Cited by 259
Kaur, S., Singla, J., Nkenyereye, L., Jha, S., Prashar, D., Joshi, G. P., El–Sappagh, S., Islam, M. S., & Islam, S. M. R. (2020) · IEEE Access · doi:10.1109/access.2020.3042273 · Cited by 289
Metadata
- Authors
- Bhattacharjee, P., Edelson, D. P., & Churpek, M. M.
- Affiliations
- University of Chicago (US)
- Corresponding author
- Churpek, Matthew M.
- Venue
- Chest
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 151
- Issue
- 4
- Pages
- 898-907
- ISSN
- 0012-3692 (ISSN-L)
- 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
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- 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 › Critical Care and Intensive Care Medicine › 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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