Evidence map›Paper›PMID 29621990›Full record

ArticleBMC infectious diseases2018

Risk factors for long-term mortality in patients admitted with severe infection.

J Francisco, I Aragão, T Cardoso

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. 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
1.9field-weighted citation impact, top 14% 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, 23 citations in OpenAlex.

  1. Review
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  5. Impact of the implementation of a Sepsis Code Program in medical patient management: a cohort study in an Internal Medicine ward.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2022
    Article
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  9. Long-Term Survival Following Sepsis.Deutsches Arzteblatt international · 2020
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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

3 authors at 2 institutions in 1 country.

J FranciscoServiço de Medicina, Hospital de Santo António, Largo Prof. Abel Salazar, 4099-001, Porto, Portugal. joaop.dinis@gmail.com.
I AragãoUnidade de Cuidados Intensivos Polivalente, Hospital de Santo António, University of Porto, Largo Prof. Abel Salazar, 4099-001, Porto, Portugal.
T CardosoUnidade de Cuidados Intensivos Polivalente, Hospital de Santo António, University of Porto, Largo Prof. Abel Salazar, 4099-001, Porto, Portugal.
Universidade do Porto · PTHospital de Santo António · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere infection is a main cause of mortality. We aim to describe risk factors for long-term mortality among inpatients with severe infection.

methodsProspective cohort study in a 600-bed university hospital in Portugal including all patients with severe infection admitted into intensive care, medical, surgical, hematology and nephrology wards over one-year period. The outcome of interest was 5-year mortality following infection. Variables of patient background and infectious episode were studied in association with the main outcome through multiple logistic regression. There were 1013 patients included in the study. Hospital and 5-year mortality rates were 14 and 37%, respectively.

resultsTwo different models were developed (with and without acute-illness severity scores) and factors independently associated with 5-year mortality were [adjusted odds ratio (95% confidence interval)]: age = 1.03 per year (1.02-1.04), cancer = 4.36 (1.65-11.53), no comorbidities = 0.4 (0.26-0.62), Karnovsky Index < 70 = 2.25 (1.48-3.40), SAPS (Simplified Acute Physiology Score) II = 1.05 per point (1.03-1.07), positive blood cultures = 1.57 (1.01-2.44) and infection by an ESKAPE pathogen (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeroginosa and Enterobacter species) = 1.61 (1.00- 2.60); and in the second model [without SAPS II and SOFA (Sequential Organ Failure Assessment) scores]: age = 1.04 per year (1.03-1.05), cancer = 5.93 (2.26-15.51), chronic haematologic disease = 2.37 (1.14-4.93), no comorbidities = 0.45 (0.29-0.69), Karnovsky Index< 70 = 2.32 (1.54- 3.50), septic shock [reference is infection without SIRS (Systemic Inflammatory Response Syndrome)] = 3.77 (1.80-7.89) and infection by an ESKAPE pathogen = 1.61 (1.00-2.60). Both models presented a good discrimination power with an AU-ROC curve (95% CI) of 0.81 (0.77-0.84) for model 1 and 0.80 (0.76-0.83) for model 2. If only patients that survived hospital admission are included in the model, variables retained are: age = 1.03 per year (1.02-1.05), cancer = 4.69 (1.71-12.83), chronic respiratory disease = 2.27 (1.09-4.69), diabetes mellitus = 1.65 (1.06-2.56), Karnovsky Index < 70 = 2.50 (1.63-3.83) and positive blood cultures = 1.66 (1.04-2.64) with an AU-ROC curve of 0.77 (0.73-0.81).

conclusionsAge, previous comorbidities, and functional status and infection by an ESKAPE pathogen were consistently associated with long-term prognosis. This information may help in the discussion of individual prognosis and clinical decision-making.

Indexed as

AdultAgedArea Under CurveBacteremiaBacteriaFemaleHematologic DiseasesHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedNeoplasmsOdds RatioPrognosisProspective Studies5-year mortalityESKAPE pathogensRisk factors for long-term mortalitySevere infection

Identifiers

PMID29621990
PMCPMC5887170
OpenAlexW2795520718

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.