Using surgical risk scores in nonsurgically treated infective endocarditis patients.


Journal

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese
ISSN: 2241-5955
Titre abrégé: Hellenic J Cardiol
Pays: Netherlands
ID NLM: 101257381

Informations de publication

Date de publication:
Historique:
received: 02 11 2018
revised: 03 01 2019
accepted: 11 01 2019
pubmed: 29 1 2019
medline: 19 8 2021
entrez: 29 1 2019
Statut: ppublish

Résumé

The accuracy of surgical scores in predicting in-hospital mortality for nonsurgically treated patients with infective endocarditis (IE) has not yet been explored. Patients with definite IE who did not undergo valve surgery were selected from the database of seven French administrative areas (Association pour l'Étude et la Prévention de l'Endocardite Infectieuse [AEPEI] Registry, 2008). The patients were scored using (a) six systems specifically devised to predict in-hospital mortality after surgery for IE, (b) three commonly used risk scores for heart surgery, and (c) a risk score for predicting six-month mortality in IE after either surgery or medical therapy. Calibration (Hosmer-Lemeshow test) and discriminatory power (receiver operating characteristic [ROC] analysis) were assessed for each score. Areas under ROC curves were compared one-to-one (Hanley-McNeil method). A total of 192 patients (mean age, 65.2±15.2 years) were considered for analysis. There were 38 (19.8%) in-hospital deaths. Age >70 years (p=0.001), Staphylococcus aureus as causal agent (p=0.05), and severe sepsis (p=0.027) were independent predictors of in-hospital mortality. Despite many differences in the number and type of variables, all but two of the investigated scores showed good calibration (p>0.66). However, discriminatory power was satisfactory (area under ROC curve >0.70) only for three of the scores specific for IE and two of the scores used to predict mortality after cardiac surgery. Among the 10 surgical scores evaluated in this study, five could be adopted to predict in-hospital mortality even for IE patients receiving medical treatment only.

Sections du résumé

BACKGROUND BACKGROUND
The accuracy of surgical scores in predicting in-hospital mortality for nonsurgically treated patients with infective endocarditis (IE) has not yet been explored.
METHODS METHODS
Patients with definite IE who did not undergo valve surgery were selected from the database of seven French administrative areas (Association pour l'Étude et la Prévention de l'Endocardite Infectieuse [AEPEI] Registry, 2008). The patients were scored using (a) six systems specifically devised to predict in-hospital mortality after surgery for IE, (b) three commonly used risk scores for heart surgery, and (c) a risk score for predicting six-month mortality in IE after either surgery or medical therapy. Calibration (Hosmer-Lemeshow test) and discriminatory power (receiver operating characteristic [ROC] analysis) were assessed for each score. Areas under ROC curves were compared one-to-one (Hanley-McNeil method).
RESULTS RESULTS
A total of 192 patients (mean age, 65.2±15.2 years) were considered for analysis. There were 38 (19.8%) in-hospital deaths. Age >70 years (p=0.001), Staphylococcus aureus as causal agent (p=0.05), and severe sepsis (p=0.027) were independent predictors of in-hospital mortality. Despite many differences in the number and type of variables, all but two of the investigated scores showed good calibration (p>0.66). However, discriminatory power was satisfactory (area under ROC curve >0.70) only for three of the scores specific for IE and two of the scores used to predict mortality after cardiac surgery.
CONCLUSIONS CONCLUSIONS
Among the 10 surgical scores evaluated in this study, five could be adopted to predict in-hospital mortality even for IE patients receiving medical treatment only.

Identifiants

pubmed: 30690140
pii: S1109-9666(18)30520-7
doi: 10.1016/j.hjc.2019.01.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

246-252

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 Hellenic Society of Cardiology. Published by Elsevier B.V. All rights reserved.

Auteurs

Giuseppe Gatti (G)

Division of Cardiac Surgery, Trieste University Hospital, Trieste, Italy. Electronic address: gius.gatti@gmail.com.

Sidney Chocron (S)

Department of Thoracic and Cardiovascular Surgery, Jean Minjoz University Hospital, Besançon, France.

Jean-François Obadia (JF)

Department of Cardiology, Claude Bernard University, Lyon, France.

Xavier Duval (X)

Inserm, Bichat University Hospital, Paris, France.

Bernard Iung (B)

Department of Cardiology, Bichat University Hospital, Paris, France.

François Alla (F)

APEMAC, Université de Lorraine, Nancy, France.

Catherine Chirouze (C)

Department of Infective and Tropical Diseases, Jean Minjoz University Hospital, Besançon, France.

Thanh Lecompte (T)

Department of Cardiology, Nancy University Hospital, Nancy, France.

Bruno Hoen (B)

Department of Infective and Tropical Diseases, Pointe-à-Pitre University Hospital, Pointe-à-Pitre, France.

François Delahaye (F)

Department of Cardiology, Claude Bernard University, Lyon, France.

Pierre Tattevin (P)

Department of Infective and Tropical Diseases, Pontchaillou University Hospital, Rennes, France.

Vincent Le Moing (V)

Department of Infective and Tropical Diseases, Montpellier University Hospital, Montpellier, France.

Andrea Perrotti (A)

Department of Thoracic and Cardiovascular Surgery, Jean Minjoz University Hospital, Besançon, France.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH