A novel risk model including vascular access site for predicting 30-day mortality after primary PCI: The ALPHA score

Prognostic impact of the SYNTAX score II in patients with ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention: analysis of a four-year all-comers registry

“…Risk stratification in patients with STEMI is a major feature in real clinical practice, as it provides a broad perspective of patient outcomes based on patient characteristics and optimal treatment. In this regard, plenty of clinical risk scores for determining prognosis in STEMI patients, such as the GRACE risk score, TIMI score, PAMI score, Zwolle risk score, CADILLAC score, ALPHA score [14][15][16][17][18][19] have been tested to provide an optimal management. The GRACE risk score is considered the most robust score for evaluating the risk in patients with STEMI/NSTEMI at initial presentation 14 , although it is a classic score which was developed in an era of less effective pharmacological and interventional treatment and it does not consider the impact of the angiographic severity of the disease, the history of peripheral vascular disease and the effect of pulmonary disease on cardiovascular outcomes.…”

Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

“…In the development set of the "Thrombolysis in Myocardial Infarction" (TIMI) risk score, the oldest of the analyzed algorithms (6), and the derivative "Dynamic TIMI" model ( 12) patients were treated with fibrinolysis. In contrast, newer scores used primary PCI (7)(8)(9)(10)(11)13) or PCI (16), depending on the clinical setting, as a treatment modality. Nevertheless, in the AR-G algorithm for STEMI and non STEMI (14) and in the GRACE 2.0 model developed for all types of the ACS (15), the therapeutic modality was not specified.…”

“…Missing or underrepresentation of prognostically important factors in the derivation data set may result in a systematic misestimation of the regression coefficients and biased prediction, limiting the generalizability of the algorithm. Newer models, however, usually employed derivation data from single-or multi-center registries representing "real-world" patients (8,11,(13)(14)(15)(16). Likewise, the risk prediction algorithms were mostly validated using registries (Table 2).…”

“…Three of the studied scores were constructed to predict the risk of in-hospital deaths (11,14,16), whereas three used 30-day mortality risk as an outcome measure (6,8,13).…”

Primer perkután koronáriaintervencióval kezelt STEMI-betegek rizikóbecslő algoritmusai

“…A score-ok folyamatos, minden beteg esetén való alkalmazása (tulaj-rehozása) epidemiológiai eszközként felhasználható a ganizációs) összehasonlításhoz, és egyes ellátóhelyen klinikai vizsgálatok tervezésekor az azokba való célzott beválogatáshoz a szükséges minta méretének csök-kentés céljából. Az ST-elevációval járó szívinfarktusos betegek morelmúlt két évtizedben folyamatosan központi téma volt a szakirodalomban, 2000 óta számos algoritmust pub-ben a terápiás modalitások is változtak (trombolízis, perkután koronáriaintervenció (PCI), valamint szekunder prevenciós gyógyszeres terápia), ma az európai és amerikai irányelvek alapján is a primer perkután koronáriaintervenció a választandó terápiás stratégia (12)(13)(14). is viszonylag korán kalkulálhatók.…”