TCT-804 Comparative Validation of the ALPHA Score, a Novel Risk Model Including Vascular Access Site for Predicting 30-Day Mortality in Patients Treated With Primary PCI

Hizoh, István; Banhegyi, Gyongyver; Domokos, Dominika; Major, László; Andrássy, Péter; Andréka, Péter; Becker, Dávid; Buttl, Andrea; Cziráki, Attila; Dézsi, Csaba András; Édes, István; Forster, Tamás; Herczeg, Béla; Jánosi, András; Katona, András; Kiss, Róbert Gábor; Kõszegi, Zsolt; Lupkovics, Géza; Nagy, Gergely; Nagy, Lajos; Noori, Ebrahim; Tomcsányi, János; Veress, Gábor; Ruzsa, Zoltán; Merkely, Béla

doi:10.1016/j.jacc.2018.08.2039

Cited by 4 publications

(9 citation statements)

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“…Besides 6 parameters that are available at the presentation it evaluates serum creatinine and cardiac necrosis biomarker levels (Tables 1-3, Figure 1; in the "mini" version of the model creatinine level may be substituted by the history of renal failure). The GRACE 1.0 and 2.0 scores have been extensively validated in the STEMI setting (13,15,(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31). An online calculator is available at https://www.outcomes-umassmed.org/grace/ acs_risk2/index.html.…”

Section: Grace 20mentioning

confidence: 99%

Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

Hizoh¹,

Domokos²,

Banhegyi³

et al. 2020

J Thorac Dis

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Mortality risk of ST-segment elevation myocardial infarction (STEMI) patients shows high variability. In order to assess individual risk, a number of scoring systems have been developed and validated.Yet, as treatment approaches evolve over time with improving outcomes, there is a need to build new risk prediction algorithms to maintain/increase prognostic accuracy. One of the most relevant improvements of therapy is primary percutaneous coronary intervention (PCI). We overview the characteristics and discriminative performance of the most studied and some recently constructed mortality risk models that were validated in patients with STEMI who underwent primary PCI.

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Section: Grace 20mentioning

confidence: 99%

Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

Hizoh¹,

Domokos²,

Banhegyi³

et al. 2020

J Thorac Dis

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“…Также среди факторов, оказывающих потенциальное влияние на прогноз, выделяют: снижение частоты непосредственного ангиографического успеха ЧКВ, увеличение времени задержки до выполнения вмешательства, более частое использование стентов без антипролиферативного покрытия [18][19][20][21]. Возраст, как один из наиболее значимых предикторов, был включен в большинство существующих шкал оценки риска летального исхода у пациентов с острым ИМпST [6][7][8][9][10].…”

Section: Discussionunclassified

“…При этом частота летального исхода существенно различается в подгруппах пациентов. С целью оценки индивидуального риска летальности у больных с острым ИМпST был предложен ряд прогностических шкал (систем балльной оценки) [6][7][8][9][10][11][12][13][14]. Среди них можно выделить шкалы, как включающие только клинические параметры, так и более комплексные системы, использующие методы машинного обучения [6,8,10].…”

Section: Introductionunclassified

“…В этих случаях могли не учитываться данные наиболее тяжелых пациентов, зачастую соответствующих критериям исключения. Также существенным общим недостатком большинства предложенных шкал является тот факт, что они не учитывают результаты проведенного ЧКВ [6][7][8][9][10][11][12][13]. При этом непосредственный успех вмешательства является важнейшим залогом благоприятного прогноза в лечении пациентов с острым ИМпST [14,15].…”

Section: Introductionunclassified

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The risk score for in-hospital mortality in patients with ST-segment elevation myocardial infarction

et al. 2021

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Aim To develop a scale (score system) for predicting the individual risk of in-hospital death in patients with ST segment elevation acute myocardial infarction (STEMI) with an account of results of percutaneous coronary intervention (PCI).Material and methods The analysis used data of 1 649 sequential patients with STEMI included into the hospital registry of PCI from 2006 through 2017. To test the model predictability, the original sample was divided into two groups: a training group consisting of 1150 (70 %) patients and a test group consisting of 499 (30 %) patients. The training sample was used for computing an individual score. To this purpose, β-coefficients of each variable obtained at the last stage of the multivariate logistic regression model were subjected to linear transformation. The scale was verified using the test sample.Results Seven independent predictors of in-hospital death were determined: age ≥65 years, acute heart failure (Killip class III-IV), total myocardial ischemia time ≥180 min, anterior localization of myocardial infarction, failure of PCI, SYNTAX scale score ≥16, glycemia on admission ≥7.78 mmol/l for patients without a history of diabetes mellitus and ≥14.35 mmol/l for patients with a history of diabetes mellitus. The contribution of each value to the risk of in-hospital death was ranked from 0 to 7. A threshold total score of 10 was determined; a score ≥10 corresponded to a high probability of in-hospital death (18.2 %). In the training sample, the sensitivity was 81 %, the specificity was 80.6 %, and the area under the curve (AUC) was 0.902. In the test sample, the sensitivity was 96.2 %, the specificity was 83.3 %, and the AUC was 0.924.Conclusion The developed scale has a good predictive accuracy in identifying patients with acute STEMI who have a high risk of fatal outcome at the hospital stage.

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“…Az eredeti közleményben rendkívüli prognosztikus kapacitást publikáltak, azonban teljesen -ciót (8). Az ALPHA-score megalkotását az alapozta meg, hogy a PCI során igazolták a radiális artéria punkciójával femorális punkcióhoz képest (34)(35)(36)(37), és az európai irányelvekben a rutin radiális behatolási kapu 1A indikációval szerepel. Az ALPHA-score négy felvételkor lyét is tartalmazza prediktorként a 30 napos mortalitás -ható (https://alphascore.org).…”

Section: Az Egyes Rizikóbecslő Modellek Jellemzéseunclassified

Primer perkután koronáriaintervencióval kezelt STEMI-betegek rizikóbecslő algoritmusai

Domokos¹,

Szepes²,

Banhegyi³

et al. 2020

Cardiologia Hungarica

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TCT-804 Comparative Validation of the ALPHA Score, a Novel Risk Model Including Vascular Access Site for Predicting 30-Day Mortality in Patients Treated With Primary PCI

Cited by 4 publications

References 0 publications

Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

The risk score for in-hospital mortality in patients with ST-segment elevation myocardial infarction

Primer perkután koronáriaintervencióval kezelt STEMI-betegek rizikóbecslő algoritmusai

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