Evidence map›Paper›PMID 34287809›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2021

Development and validation of a risk score for predicting positivity of blood cultures and mortality in patients with bacteremia and fungemia.

Felipe Francisco Tuon, João Paulo Telles, Juliette Cieslinski, Marilia Burdini Borghi, Raquel Zanella Bertoldo, Victoria Stadler Tasca Ribeiro

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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

3 citing papers in PubMed.

  1. Time-Sensitive Antibiotic Adjustments in Gram-Negative Bacteremia: A Survival Perspective.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

6 authors.

Felipe Francisco TuonLaboratorio de Doenças Infecciosas Emergentes, Pontifícia Universidade Católica Do Paraná, Rua Imaculada Conceição 1155, Curitiba, Paraná, 80215-901, Brazil. felipe.tuon@pucpr.br.ORCID http://orcid.org/0000-0003-3471-1786
João Paulo TellesLaboratorio de Doenças Infecciosas Emergentes, Pontifícia Universidade Católica Do Paraná, Rua Imaculada Conceição 1155, Curitiba, Paraná, 80215-901, Brazil.ORCID http://orcid.org/0000-0003-4078-2046
Juliette CieslinskiLaboratorio de Doenças Infecciosas Emergentes, Pontifícia Universidade Católica Do Paraná, Rua Imaculada Conceição 1155, Curitiba, Paraná, 80215-901, Brazil.ORCID http://orcid.org/0000-0002-9185-0945
Marilia Burdini BorghiHospital Universitário Evangélico de Curitiba, Curitiba, Paraná, 80730-150, Brazil.ORCID http://orcid.org/0000-0001-6255-7224
Raquel Zanella BertoldoHospital Universitário Evangélico de Curitiba, Curitiba, Paraná, 80730-150, Brazil.
Victoria Stadler Tasca RibeiroLaboratorio de Doenças Infecciosas Emergentes, Pontifícia Universidade Católica Do Paraná, Rua Imaculada Conceição 1155, Curitiba, Paraná, 80215-901, Brazil.ORCID http://orcid.org/0000-0002-6767-3598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBacteremia is a major cause of morbidity and mortality in hospitalized patients. Predictors of mortality are critical for the management and survival of hospitalized patients. The objective of this study was to determine the factors related to blood culture positivity and the risk factors for mortality in patients whose blood cultures were collected.

methodsA prospective 2-cohort study (derivation with 784 patients and validation with 380 patients) based on the Pitt bacteremia score for all patients undergoing blood culture collection. The score was obtained from multivariate analysis. The Kaplan-Meier survival curve of the cohort derivation and the cohort validation groups was calculated, and the difference was assessed using a log-rank test. Mortality-related factors were older age, extended hospitalization, > 10% of immature cells in the leukogram, lower mean blood pressure, elevated heart rate, elevated WBC count, and elevated respiratory rate. These continuous variables were dichotomized according to their significance level, and a cut-off limit was created.

resultsThe area under the ROC curve (AUC) was 0.789. The score was validated in a group of 380 patients who were prospectively evaluated.

conclusionProlonged hospitalization, body temperature, and elevated heart rate were related to positive blood cultures. The Pitt score can be used to assess the risk of death; however it can be individualized according to the epidemiology of each hospital.

Indexed as

BacteremiaBlood CultureFungemiaMicrobiological TechniquesAdultAgedBrazilCohort StudiesHumansMiddle AgedModels, StatisticalPredictive Value of TestsProspective StudiesReproducibility of ResultsRetrospective StudiesRisk FactorsBacteremiaBlood cultureMortality predictionPitt scoreStaphylococcus

Identifiers

PMID34287809
PMCPMC8578208

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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.