Evidence map›Paper›PMID 26971636›Full record

ArticleDiagnostic microbiology and infectious disease2016

Combined biomarkers discriminate a low likelihood of bacterial infection among surgical intensive care unit patients with suspected sepsis.

Brendan J Kelly, Ebbing Lautenbach, Irving Nachamkin, Susan E Coffin, Jeffrey S Gerber, Barry D Fuchs, Charles Garrigan, Xiaoyan Han, Warren B Bilker, Jacqueleen Wise and 3 more

Open access · greenAbstract read
In one paragraph

Article in Diagnostic microbiology and infectious disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Alterations in RNA Expression Profile FollowingInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Comparison of Trends of Procalcitonin and Neutrophil to Lymphocyte Ratio in Patients of Sepsis in Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  5. Article
  6. Article
  7. Biomarkers of sepsis: time for a reappraisal.Critical care (London, England) · 2020
    Review
  8. Review
  9. Differential protein expression in patients with urosepsis.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2018
    Article
  10. Article
  11. Observational
  12. Article
  13. Diagnosing sepsis - The role of laboratory medicine.Clinica chimica acta; international journal of clinical chemistry · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Brendan J KellyDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: brendank@mail.med.upenn.edu.
Ebbing LautenbachDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Irving NachamkinDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Susan E CoffinDivision of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jeffrey S GerberCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Barry D FuchsDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Charles GarriganDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Xiaoyan HanDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Warren B BilkerCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jacqueleen WiseCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Pam TolomeoCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jennifer H HanDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: jennifer.han@uphs.upenn.edu.
Centers for Disease Control and Prevention (CDC) Prevention Epicenters Program
University of Pennsylvania · USChildren's Hospital of Philadelphia · US

Funding

Longitudinal analysis of respiratory tract microbiome change and sequence-based infection diagnosis during mechanical ventilationK23AI121485 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI KELLY, BRENDAN JOSEPH · 2016 to 2020
$965k
Mentoring and patient-oriented research in antimicrobial resistanceK24AI080942 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI LAUTENBACH, EBBING · 2009 to 2013
$853k
Carbapenem-Resistant Klebsiella Pneumoniae in Long-Term Acute Care HospitalsK01AI103028 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HAN, JENNIFER · 2013 to 2017
$669k
NCEZID CDC HHS FOA#CK11-001NCEZID CDC HHS U54 CK000163NIAID NIH HHS K01 AI103028NIAID NIH HHS K01-AI103028NIAID NIH HHS K23 AI121485NIAID NIH HHS K24 AI080942NIAID NIH HHS L30 AI120149
6 · The paper itself

Abstract

Among surgical intensive care unit (SICU) patients, it is difficult to distinguish bacterial sepsis from other causes of systemic inflammatory response syndrome (SIRS). Biomarkers have proven useful to identify the presence of bacterial infection. We enrolled a prospective cohort of 69 SICU patients with suspected sepsis and assayed the concentrations of 9 biomarkers (α-2 macroglobulin [A2M], C-reactive protein, ferritin, fibrinogen, haptoglobin, procalcitonin [PCT], serum amyloid A, serum amyloid P, and tissue plasminogen activator) at baseline, 24, 48, and 72hours. Forty-two patients (61%) had bacterial sepsis by chart review. A2M concentrations were significantly lower, and PCT concentrations were significantly higher in subjects with bacterial sepsis at 3 of 4 time points. Using optimal cutoff values, the combination of baseline A2M and 72-hour PCT achieved a negative predictive value of 75% (95% confidence interval, 54-96%). The combination of A2M and PCT discriminated bacterial sepsis from other SIRS among SICU patients with suspected sepsis.

Indexed as

BacteremiaCross InfectionIntensive Care UnitsAdultAgedAged, 80 and overBiomarkersDiagnosis, DifferentialHumansMiddle AgedROC CurveSepsisSystemic Inflammatory Response SyndromeBiomarkersAlpha-2-macroglobulinBiomarkerProcalcitoninSepsisSurgical intensive care unitSystemic inflammatory response syndrome

Identifiers

PMID26971636
PMCPMC4841711
OpenAlexW2231606829

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.