Cited by 219Sepsis Diagnosis and TreatmentInflammation biomarkers and pathwaysAcute Kidney Injury Research

Diagnostic accuracy of procalcitonin, neutrophil-lymphocyte count ratio, C-reactive protein, and lactate in patients with suspected bacterial sepsis

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Ljungström, Lars, Pernestig, Anna-Karin, Jacobsson, Gunnar, Andersson, Rune, Usener, Barbara, Tilevik, Diana·2017·PLOS ONE

Abstract

BACKGROUND: Early recognition is a key factor to achieve improved outcomes for septic patients. Combinations of biomarkers, as opposed to single ones, may improve timely diagnosis and survival. We investigated the performance characteristics of sepsis biomarkers, alone and in combination, for diagnosis of verified bacterial sepsis using Sepsis-2 and Sepsis-3 criteria, respectively. METHODS: Procalcitonin (PCT), neutrophil-lymphocyte count ratio (NLCR), C-reactive protein (CRP), and lactate were determined in a total of 1,572 episodes of adult patients admitted to the emergency department on suspicion of sepsis. All sampling were performed prior to antibiotic administration. Discriminant analysis was used to construct two composite biomarkers consisting of linear combinations of the investigated biomarkers, one including three selected biomarkers (i.e., NLCR, CRP, and lactate), and another including all four (i.e., PCT, NLCR, CRP, and lactate). The diagnostic performances of the composite biomarkers as well as the individual biomarkers were compared using the area under the receiver operating characteristic curve (AUC). RESULTS: For diagnosis of bacterial sepsis based on Sepsis-3 criteria, the AUC for PCT (0.68; 95% CI 0.65-0.71) was comparable to the AUCs for the both composite biomarkers. Using the Sepsis-2 criteria for bacterial sepsis diagnosis, the AUC for the NLCR (0.68; 95% CI 0.65-0.71) but not for the other single biomarkers, was equal to the AUCs for the both composite biomarkers. For diagnosis of severe bacterial sepsis or septic shock based on the Sepsis-2 criteria, the AUCs for both composite biomarkers were significantly greater than those of the single biomarkers (0.85; 95% CI 0.82-0.88 for the composite three-biomarker, and 0.86; 95% CI 0.83-0.89 for the composite four-biomarker). CONCLUSIONS: Combinations of biomarkers can improve the diagnosis of verified bacterial sepsis in the most critically ill patients, but in less severe septic conditions either the NLCR or PCT alone exhibit equivalent performance.

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  1. [50]Ljungström L, Steinum O, Brink M, Gårdlund B, Martner J, Sjölin J. Diagnostik och diagnoskodning av svår sepsis och septisk shock. Läkartidningen 2011; 108(8): 276– 8. 21534311

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Authors
Ljungström, L., Pernestig, A.-K., Jacobsson, G., Andersson, R., Usener, B., & Tilevik, D.
Affiliations
  • Skaraborg Hospital (SE)
  • University of Skövde (SE)
  • Sahlgrenska University Hospital (SE)
Corresponding author
Tilevik, Diana
Venue
PLOS ONE
Published
2017-07-20
Volume
12
Issue
7
Pages
e0181704
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2737554657
Cited by
219
References
86
Citations by year
2026: 19 · 2025: 23 · 2024: 20 · 2023: 28 · 2022: 27 · 2021: 35 · 2020: 25 · 2019: 22 · 2018: 10 · 2017: 10
FWCI
14.35
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Diva portal (Dalarna University Library) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
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
bacterial sepsis, sepsis diagnosis, procalcitonin, C-reactive protein, lactate, composite biomarker, Sepsis-3 criteria, septic shock, emergency department, diagnostic accuracy, combined biomarker detection, early sepsis detection
MeSH terms
Aged, Aged, 80 and over, C-Reactive Protein, Calcitonin, Female, Humans, Leukocyte Count, Male, Middle Aged, Neutrophils, Prospective Studies, ROC Curve, Severity of Illness Index, Biomarkers, Discriminant Analysis, Linear Models, Bacteremia, Lymphocyte Count, Lactic Acid, Area Under Curve, Early Diagnosis

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