Evidence map›Paper›PMID 24368550›Full record

ArticleInteractive cardiovascular and thoracic surgery2014

The novel EuroSCORE II algorithm predicts the hospital mortality of thoracic aortic surgery in 461 consecutive Japanese patients better than both the original additive and logistic EuroSCORE algorithms.

Takahiro Nishida, Hiromichi Sonoda, Yasuhisa Oishi, Yoshihisa Tanoue, Atsuhiro Nakashima, Yuichi Shiokawa, Ryuji Tominaga

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In one paragraph

Article in Interactive cardiovascular and thoracic surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

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9citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  6. Predictive risk models for proximal aortic surgery.Journal of thoracic disease · 2017
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Takahiro NishidaDepartment of Cardiovascular Surgery, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Hiromichi Sonoda
Yasuhisa Oishi
Yoshihisa Tanoue
Atsuhiro Nakashima
Yuichi Shiokawa
Ryuji Tominaga

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe European System for Cardiac Operative Risk Evaluation (EuroSCORE) II was developed to improve the overestimation of surgical risk associated with the original (additive and logistic) EuroSCOREs. The purpose of this study was to evaluate the significance of the EuroSCORE II by comparing its performance with that of the original EuroSCOREs in Japanese patients undergoing surgery on the thoracic aorta.

methodsWe have calculated the predicted mortalities according to the additive EuroSCORE, logistic EuroSCORE and EuroSCORE II algorithms in 461 patients who underwent surgery on the thoracic aorta during a period of 20 years (1993-2013).

resultsThe actual in-hospital mortality rates in the low- (additive EuroSCORE of 3-6), moderate- (7-11) and high-risk (≥11) groups (followed by overall mortality) were 1.3, 6.2 and 14.4% (7.2% overall), respectively. Among the three different risk groups, the expected mortality rates were 5.5 ± 0.6, 9.1 ± 0.7 and 13.5 ± 0.2% (9.5 ± 0.1% overall) by the additive EuroSCORE algorithm, 5.3 ± 0.1, 16 ± 0.4 and 42.4 ± 1.3% (19.9 ± 0.7% overall) by the logistic EuroSCORE algorithm and 1.6 ± 0.1, 5.2 ± 0.2 and 18.5 ± 1.3% (7.4 ± 0.4% overall) by the EuroSCORE II algorithm, indicating poor prediction (P < 0.0001) of the mortality in the high-risk group, especially by the logistic EuroSCORE. The areas under the receiver operating characteristic curves of the additive EuroSCORE, logistic EuroSCORE and EuroSCORE II algorithms were 0.6937, 0.7169 and 0.7697, respectively. Thus, the mortality expected by the EuroSCORE II more closely matched the actual mortality in all three risk groups. In contrast, the mortality expected by the logistic EuroSCORE overestimated the risks in the moderate- (P = 0.0002) and high-risk (P < 0.0001) patient groups.

conclusionsAlthough all of the original EuroSCOREs and EuroSCORE II appreciably predicted the surgical mortality for thoracic aortic surgery in Japanese patients, the EuroSCORE II best predicted the mortalities in all risk groups.

Indexed as

AlgorithmsAsian PeopleDecision Support TechniquesAorta, ThoracicArea Under CurveChi-Square DistributionHospital MortalityHumansJapanLogistic ModelsMiddle AgedPredictive Value of TestsRisk AssessmentRisk FactorsROC CurveTreatment OutcomeAortic surgeryHospital mortalityRisk stratification

Identifiers

PMID24368550
PMCPMC3957283

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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.