Evidence map›Paper›PMID 34372784›Full record

ArticleBMC infectious diseases2021

Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome.

Ennio Polilli, Jessica Elisabetta Esposito, Antonella Frattari, Francesca Trave, Federica Sozio, Giovanna Ferrandu, Giancarlo Di Iorio, Giustino Parruti

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Ennio PolilliClinical Pathology Unit, Pescara General Hospital, Pescara, Italy.
Jessica Elisabetta EspositoClinical Pathology Unit, Pescara General Hospital, Pescara, Italy.
Antonella FrattariIntensive Care Unit, Pescara General Hospital, Pescara, Italy.
Francesca TraveInfectious Diseases Unit, Pescara General Hospital, Pescara, Italy.
Federica SozioInfectious Diseases Unit, Pescara General Hospital, Pescara, Italy.
Giovanna FerranduInternal Medicine Unit, Pescara General Hospital, Pescara, Italy.
Giancarlo Di IorioClinical Pathology Unit, Pescara General Hospital, Pescara, Italy.
Giustino ParrutiInfectious Diseases Unit, Pescara General Hospital, Pescara, Italy. giustino.parruti@ausl.pe.it.ORCID http://orcid.org/0000-0003-3483-8170

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly recognition of patients hospitalized for sepsis at higher risk of poor clinical outcome is a mandatory task and many studies suggested that indicators of the immune status may be useful for this purpose. We performed a retrospective, monocentric cohort study to evaluate whether lymphocyte subsets may be useful in predicting in-hospital mortality of septic patients.

methodsData of all consecutive patients with a diagnosis of sepsis at discharge and an available peripherical blood lymphocyte subset (CD4, CD8, CD16/CD56 and CD19) analysis at hospital entry were retrospectively collected between January 2015 and August 2018. Clinical characteristics of patients, past medical history and other laboratory parameters were also considered.

resultsTwo-hundred-seventy-eight septic patients, 171 (61.5%) males, mean age 63.2 ± 19.6 years, were enrolled. Total counts of lymphocytes, CD4 T cells, CD8 T cells and B cells were found significantly lower in deceased than in surviving patients. At univariate analyses, CD4 T cells/µL (OR 0.99 for each incremental unit, 95%CI 0.99-1.10, p < 0.0001), age (OR 1.06, 95%CI 1.04-1.09, p < 0.0001), procalcitonin (OR 1.01, 95%CI 1.01-1.02, p < 0.0001) and female gender (OR 2.81, 95%CI 1.49-5.28, p = 0.001) were associated with in-hospital mortality. When a dichotomic threshold of < 400/µL for CD4 T cells as a dependent variable was considered in multivariate models, age (OR 1.04; 95%CI 1.01-1.09, p = 0.018); female gender (OR 3.18; 95%CI 1.40-7.20, p = 0.006), qSOFA (OR 4.00, 95%CI 1.84-8.67, p < 0.001) and CD4 T cells < 400/µL (OR 5.3; 95%CI 1.65-17.00, p = 0.005) were the independent predictors.

conclusionsIn adjunct to biomarkers routinely determined for the prediction of prognosis in sepsis, CD4 T lymphocytes, measured at hospital entry, may be useful in identifying patients at higher risk of in-hospital death.

Indexed as

BiomarkersLymphocyte SubsetsSepsisCohort StudiesFemaleHospital MortalityHumansLymphocyte CountMaleMiddle AgedRetrospective StudiesBiomarkersClinical outcomeLymphocytesLymphocyte subsetsqSOFASepsis

Identifiers

PMID34372784
PMCPMC8351421

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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.