A Modified Essen Stroke Risk Score for Predicting Recurrent Cardiovascular Events: Development and Validation

Sumi, Shigeki; Origasa, Hideki; Houkin, Kiyohiro; Terayama, Yasuo; Uchiyama, Shinichiro; Daida, Hiroyuki; Shigematsu, Hiroshi; Goto, Shinya; Tanaka, Kortaro; Miyamoto, Susumu; Minematsu, Kazuo; Matsumoto, Masayasu; Okada, Yasushi; Sato, Motoki; Suzuki, Noriyuki

doi:10.1111/j.1747-4949.2012.00841.x

Cited by 19 publications

(20 citation statements)

References 22 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…28 A more recent study reports a higher recurrence risk in patients with undetermined cause of stroke than in those with SAD. 29 In our study, however, the recurrence rate was low and similar in both subtypes.…”

Section: Resultsmentioning

confidence: 41%

Relevance of stroke subtype in vascular risk prediction

et al. 2013

View full text Add to dashboard Cite

show abstract

Section: Resultsmentioning

confidence: 41%

Relevance of stroke subtype in vascular risk prediction

et al. 2013

View full text Add to dashboard Cite

show abstract

“…Five articles [31,32,34,36,39] defined all predictors, three [30,35,37] defined only some, and four [33,38,40,41] did not define any. Most articles defined outcome adequately, although three did not define the outcome and/or the duration of follow-up [38,40,41].…”

Section: Resultsmentioning

confidence: 99%

“…Most of the studies used data dependent variable selection methods: stepwise selection (two of twelve) [32,35]; univariate significance tests (four of twelve) [30,31,34,36]; and further reduction of univariate selection by inspection of multivariable significance (two of twelve) [33,38]. Three modifications of pre-existing prediction models were identified with new predictors chosen by clinical justification [37,39,41]. One study gave no description of how variables were selected [40].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Formal and informal prediction of recurrent stroke and myocardial infarction after stroke: a systematic review and evaluation of clinical prediction models in a new cohort

Thompson

Murray

Dennis

et al. 2014

BMC Med

View full text Add to dashboard Cite

BackgroundThe objective of this study was to: (1) systematically review the reporting and methods used in the development of clinical prediction models for recurrent stroke or myocardial infarction (MI) after ischemic stroke; (2) to meta-analyze their external performance; and (3) to compare clinical prediction models to informal clinicians’ prediction in the Edinburgh Stroke Study (ESS).MethodsWe searched Medline, EMBASE, reference lists and forward citations of relevant articles from 1980 to 19 April 2013. We included articles which developed multivariable clinical prediction models for the prediction of recurrent stroke and/or MI following ischemic stroke. We extracted information to assess aspects of model development as well as metrics of performance to determine predictive ability. Model quality was assessed against a pre-defined set of criteria. We used random-effects meta-analysis to pool performance metrics.ResultsWe identified twelve model development studies and eleven evaluation studies. Investigators often did not report effective sample size, regression coefficients, handling of missing data; typically categorized continuous predictors; and used data dependent methods to build models. A meta-analysis of the area under the receiver operating characteristic curve (AUROCC) was possible for the Essen Stroke Risk Score (ESRS) and for the Stroke Prognosis Instrument II (SPI-II); the pooled AUROCCs were 0.60 (95% CI 0.59 to 0.62) and 0.62 (95% CI 0.60 to 0.64), respectively. An evaluation among minor stroke patients in the ESS demonstrated that clinicians discriminated poorly between those with and those without recurrent events and that this was similar to clinical prediction models.ConclusionsThe available models for recurrent stroke discriminate poorly between patients with and without a recurrent stroke or MI after stroke. Models had a similar discrimination to informal clinicians' predictions. Formal prediction may be improved by addressing commonly encountered methodological problems.

show abstract

“…They sought 4814 patients during 8 years, and they proved that patients have undergone the CMP exhibited the calcium score initial values bigger than 100. There are other publications describing the ESRS which modify the calcium score by adding input clinical variables and parameters, as in [14].…”

mentioning

confidence: 99%

Modeling and objectification of blood vessel calcification with using of multiregional segmentation

Kubíček

Bryjova

Valošek

et al. 2018

Vietnam J Comput Sci

View full text Add to dashboard Cite

In a clinical practice of the angiography, the blood vessel analysis is substantially important mainly in a sense of an objectification and modeling of the pathological spots such as the blood vessel calcifications. An amount of the calcification is commonly just estimated by naked eyes; therefore, the automatic modeling may be beneficial in a context of an extraction of the blood vessel features well representing a level of the blood vessel deterioration. In this work, we have proposed a fully automatic software environment (BloodVessCalc) for processing the blood vessel images acquired by the CT (computer tomography). The main function of the SW is the multiregional image segmentation allowing for an extraction of the physiological blood vessel location from the calcification spots. This model offers the calcium score calculation in a form of amount of the calcification. In the last part of our analysis, the predictive intervals of the average value and median for calcium score are calculated.

show abstract

A Modified Essen Stroke Risk Score for Predicting Recurrent Cardiovascular Events: Development and Validation

Abstract: The modified Essen stroke risk score increased the ability of the Essen stroke risk score to predict recurrent cardiovascular events. Patients with a high modified Essen stroke risk score should be candidates for intensified secondary prevention strategies.

Cited by 19 publications

References 22 publications

Relevance of stroke subtype in vascular risk prediction

Relevance of stroke subtype in vascular risk prediction

Formal and informal prediction of recurrent stroke and myocardial infarction after stroke: a systematic review and evaluation of clinical prediction models in a new cohort

Modeling and objectification of blood vessel calcification with using of multiregional segmentation

Contact Info

Product

Resources

About