Evidence map›Paper›PMID 25051284›Full record

ArticleShock (Augusta, Ga.)2014

Persistent lymphopenia after diagnosis of sepsis predicts mortality.

Anne M Drewry, Navdeep Samra, Lee P Skrupky, Brian M Fuller, Stephanie M Compton, Richard S Hotchkiss

Open access · greenAbstract read
In one paragraph

Article in Shock (Augusta, Ga.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 312 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
312citing papers in PubMed, 5 pooled it
16.5field-weighted citation impact, top 1% 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

312 citing papers in PubMed, 5 syntheses or guidelines pooled it, 473 citations in OpenAlex.

  1. Pooled it
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  6. Trial
  7. Trial
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  9. Persistent lymphopaenia in critically ill patients with and without sepsis: An Australian and New Zealand point prevalence study.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
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252 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 1 country.

Anne M DrewryDepartments of *Anesthesiology and †Surgery, Washington University School of Medicine; ‡Department of Pharmacy, Barnes-Jewish Hospital; and §Department of Emergency Medicine, Washington University School of Medicine, St Louis, Missouri.
Navdeep Samra
Lee P Skrupky
Brian M Fuller
Stephanie M Compton
Richard S Hotchkiss
Washington University in St. Louis · USBarnes-Jewish Hospital · USUniversity of Washington · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Prevention of Apoptotic Cell Death in Sepsis by BCL-2R37GM044118 · NIGMS · WASHINGTON UNIVERSITY · PI HOTCHKISS, RICHARD SAMUEL · 2003 to 2012
$5.1M
CELLULAR MECHANISMS OF SEPSIS AND ORGAN FAILURER01GM055194 · NIGMS · WASHINGTON UNIVERSITY · PI HOTCHKISS, RICHARD SAMUEL · 1997 to 2012
$4.7M
PREVENTION OF APOPTOTIC CELL DEATH IN SEPSIS BY BCL-2R01GM044118 · NIGMS · WASHINGTON UNIVERSITY · PI HOTCHKISS, RICHARD SAMUEL · 1992 to 2017
$2.7M
NCATS NIH HHS UL1 TR000448NIGMS NIH HHS GM 44118NIGMS NIH HHS GM 55194NIGMS NIH HHS R01 GM044118NIGMS NIH HHS R01 GM055194NIGMS NIH HHS R37 GM044118
6 · The paper itself

Abstract

objectiveThe objective of this study was to determine whether persistent lymphopenia on the fourth day following the diagnosis of sepsis predicts mortality.

methodsThis was a single-center, retrospective cohort study of 335 adult patients with bacteremia and sepsis admitted to a large university-affiliated tertiary care hospital between January 1, 2010, and July 31, 2012. All complete blood cell count profiles during the first 4 days following the diagnosis of sepsis were recorded. The primary outcome was 28-day mortality. Secondary outcomes included development of secondary infections, 1-year mortality, and hospital and intensive care unit lengths of stay.

resultsSeventy-six patients (22.7%) died within 28 days. Lymphopenia was present in 28-day survivors (median, 0.7 × 10 cells/μL; interquartile range [IQR], 0.4-1.1 × 10 cells/μL) and nonsurvivors (median, 0.6 × 10 cells/μL; IQR, 0.4-1.1 × 10 cells/μL) at the onset of sepsis and was not significantly different between the groups (P = 0.35). By day 4, the median absolute lymphocyte count was significantly higher in survivors compared with nonsurvivors (1.1 × 10 cells/μL [IQR, 0.7-1.5 × 10 cells/μL] vs. 0.7 × 10 cells/μL [IQR, 0.5-1.0 × 10 cells/μL]; P < 0.0001). Using logistic regression to account for potentially confounding factors (including age, Acute Physiology and Chronic Health Evaluation II score, comorbidities, surgical procedure during the study period, and time until appropriate antibiotic administration), day 4 absolute lymphocyte count was found to be independently associated with 28-day survival (adjusted odds ratio, 0.68 [95% confidence interval, 0.51-0.91]) and 1-year survival (adjusted odds ratio, 0.74 [95% confidence interval, 0.59-0.93]). Severe persistent lymphopenia (defined as an absolute lymphocyte count of 0.6 × 10 cells/μL or less on the fourth day after sepsis diagnosis) was associated with increased development of secondary infections (P = 0.04).

conclusionsPersistent lymphopenia on the fourth day following the diagnosis of sepsis predicts early and late mortality and may serve as a biomarker for sepsis-induced immunosuppression.

Indexed as

AdultAgedAPACHEBacteremiaFemaleHumansImmune ToleranceKaplan-Meier EstimateLength of StayLeukocyte CountLymphopeniaMaleMiddle AgedMissouriOpportunistic InfectionsPrognosis

Identifiers

PMID25051284
PMCPMC4362626
OpenAlexW2326936967

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.