Evidence map›Paper›PMID 28054252›Full record

ArticleInfection2017

A risk factor analysis for in-hospital mortality after surgery for infective endocarditis and a proposal of a new predictive scoring system.

Giuseppe Gatti, Bernardo Benussi, Florida Gripshi, Alessio Della Mattia, Alberto Proclemer, Antonio Cannatà, Lorella Dreas, Roberto Luzzati, Gianfranco Sinagra, Aniello Pappalardo

Abstract read
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In one paragraph

Article in Infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. The impact of thrombocytopenia on mortality in infective endocarditis - aInternational journal of cardiology. Heart & vasculature · 2025
    Review
  3. Anemia and Transfusion in Infective Endocarditis.Reviews in cardiovascular medicine · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. ASSESS-IE: a Novel Risk Score for Patients with Infective Endocarditis.Journal of cardiovascular translational research · 2024
    Article
  9. Perioperative risk stratification scores in infective endocarditis and its usefulness.Indian journal of thoracic and cardiovascular surgery · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Fulminant infectious endocarditis caused byRadiology case reports · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 1 institution in 1 country.

Giuseppe GattiCardiovascular Department, University Hospital of Trieste, Trieste, Italy. gius.gatti@gmail.com.ORCID http://orcid.org/0000-0002-9996-6133
Bernardo BenussiCardiovascular Department, University Hospital of Trieste, Trieste, Italy.
Florida GripshiCardiovascular Department, University Hospital of Trieste, Trieste, Italy.
Alessio Della MattiaCardiovascular Department, University Hospital of Trieste, Trieste, Italy.
Alberto ProclemerCardiovascular Department, University Hospital of Trieste, Trieste, Italy.
Antonio CannatàCardiovascular Department, University Hospital of Trieste, Trieste, Italy.
Lorella DreasCardiovascular Department, University Hospital of Trieste, Trieste, Italy.
Roberto LuzzatiDivision of Infective Diseases, University Hospital of Trieste, Trieste, Italy.
Gianfranco SinagraCardiovascular Department, University Hospital of Trieste, Trieste, Italy.
Aniello PappalardoCardiovascular Department, University Hospital of Trieste, Trieste, Italy.
University of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRisk stratification is of utmost importance for patients with infective endocarditis (IE) who need surgery. However, for these critically ill patients, aspecific scoring systems are used to predict the risk of death after surgery. The aim of this study was both to analyze the risk factors for in-hospital death, which complicates surgery for IE and to create a mortality risk score based on the results of this analysis.

methodsOutcomes of 138 consecutive patients (mean age 60.6 ± 8.5 years) who had undergone surgery for IE in an Italian cardiac surgery center between 1999 and 2015 were reviewed retrospectively and a risk factor analysis (multivariable logistic regression) for in-hospital death was performed. The discriminatory power of a new predictive scoring system was assessed with the receiver-operating characteristic (ROC) curve analysis.

resultsTwenty-eight (20.3%) patients died in hospital following surgery. Anemia [odds ratio (OR) 11.0, p = 0.035), New York Heart Association class IV (OR 2.61, p = 0.09), critical state (OR 4.97, p = 0.016), large intracardiac destruction (OR 6.45, p = 0.0014), and surgery of the thoracic aorta (OR 7.51, p = 0.041) were independent predictors of hospital death. A new scoring system was devised to predict in-hospital death after surgery for IE (area under ROC curve, 0.828, 95% confidence interval, 0.754-0.887). The score outperformed six of seven scoring systems, for early death after cardiac surgery, that were considered.

conclusionsA simple scoring system based on risk factors for in-hospital death was specifically created to predict mortality risk after surgery for IE. Prospective studies are needed for the score validation.

Indexed as

Hospital MortalityAgedEndocarditisFactor Analysis, StatisticalFemaleHumansItalyLogistic ModelsMaleMiddle AgedOdds RatioPostoperative ComplicationsRetrospective StudiesRisk FactorsROC CurveCardiac surgeryInfective endocarditisIn-hospital mortalityQuality of results improvementRisk factor analysis

Identifiers

PMID28054252
OpenAlexW2570607799

What OpenQuestion holds

Textmetadata
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.