Many scoring systems for predicting the outcomes of patients with acute coronary syndrome (ACS) have been proposed. In some populations, a significant reduction in length of hospital stay may be achieved without compromising patient prognoses. However, the use of such scoring systems in clinical practice is limited. The aim of this study was to propose a universal list of predictors that can identify low-risk ACS patients who may be eligible for an earlier hospital discharge without increased short-term risk for major adverse cardiac events. A cohort of 1420 patients diagnosed with ACS were enrolled into a single-centre registry between October 2018 and December 2020. Clinical, laboratory, echocardiographic, and angiographic measurements were taken for each patient and entered into the study database. Using retrospective univariant analyses of patients treated with percutaneous coronary intervention (PCI) (n = 932), we compared each predictor to 30-day mortality rate using the Czech national registry of dead people. Eleven predictors correlate significantly with 30-day survival: age <80 years, ejection fraction >50%, no cardiopulmonary resuscitation, no mechanical ventilation needed, Killip class I at admission, haemoglobin levels >110 g/L while hospitalized, successful PCI procedure(s), no residual stenosis over 90%, Thrombolysis in Myocardial Infarction 3 flow after PCI, no left main stem disease, and no triple-vessel coronary artery disease. In all, presence of all predictors applies to 328 patients (35.2% of the cohort), who maintained a 100% survival rate at 30 days. A combination of clinical, echocardiographic, and angiographic findings provides valuable information for predicting the outcomes of patients with all types of ACS. We created a simple, useful tool for selecting low-risk patients eligible for early discharge.

Department of Cardiology 3rd Faculty of Medicine Charles University and University Hospital Královské Vinohrady Prosecká 852 66 190 00 Prague Czech Republic

Medtronic Czechia Partner of INTERCARDIS Project Prosecká 852 66 190 00 Prague Czech Republic

000      

00000naa a2200000 a 4500

001      

bmc22017491

003      

CZ-PrNML

005      

20220720100242.0

007      

ta

008      

220718s2022 xxk f 000 0|eng||

009      

AR

024    7_

$a 10.1093/eurheartjsupp/suac002 $2 doi

035    __

$a (PubMed)35370503

040    __

$a ABA008 $b cze $d ABA008 $e AACR2

041    0_

$a eng

044    __

$a xxk

100    1_

$a Bauer, Dávid $u Department of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic

245    10

$a Predictors allowing early discharge after interventional treatment of acute coronary syndrome patients / $c D. Bauer, M. Neuberg, M. Nováčková, P. Mašek, V. Kočka, Z. Moťovská, P. Toušek

520    9_

$a Many scoring systems for predicting the outcomes of patients with acute coronary syndrome (ACS) have been proposed. In some populations, a significant reduction in length of hospital stay may be achieved without compromising patient prognoses. However, the use of such scoring systems in clinical practice is limited. The aim of this study was to propose a universal list of predictors that can identify low-risk ACS patients who may be eligible for an earlier hospital discharge without increased short-term risk for major adverse cardiac events. A cohort of 1420 patients diagnosed with ACS were enrolled into a single-centre registry between October 2018 and December 2020. Clinical, laboratory, echocardiographic, and angiographic measurements were taken for each patient and entered into the study database. Using retrospective univariant analyses of patients treated with percutaneous coronary intervention (PCI) (n = 932), we compared each predictor to 30-day mortality rate using the Czech national registry of dead people. Eleven predictors correlate significantly with 30-day survival: age <80 years, ejection fraction >50%, no cardiopulmonary resuscitation, no mechanical ventilation needed, Killip class I at admission, haemoglobin levels >110 g/L while hospitalized, successful PCI procedure(s), no residual stenosis over 90%, Thrombolysis in Myocardial Infarction 3 flow after PCI, no left main stem disease, and no triple-vessel coronary artery disease. In all, presence of all predictors applies to 328 patients (35.2% of the cohort), who maintained a 100% survival rate at 30 days. A combination of clinical, echocardiographic, and angiographic findings provides valuable information for predicting the outcomes of patients with all types of ACS. We created a simple, useful tool for selecting low-risk patients eligible for early discharge.

655    _2

$a časopisecké články $7 D016428

700    1_

$a Neuberg, Marek $u Medtronic Czechia, Partner of INTERCARDIS Project, Prosecká 852/66, 190 00 Prague, Czech Republic

700    1_

$a Nováčková, Markéta $u Department of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic

700    1_

$a Mašek, Petr $u Medtronic Czechia, Partner of INTERCARDIS Project, Prosecká 852/66, 190 00 Prague, Czech Republic

700    1_

$a Kočka, Viktor $u Department of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic

700    1_

$a Moťovská, Zuzana $u Department of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic

700    1_

$a Toušek, Petr $u Department of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic

773    0_

$w MED00005247 $t European heart journal supplements : journal of the European Society of Cardiology $x 1520-765X $g Roč. 24, Suppl B (2022), s. B10-B15

856    41

$u https://pubmed.ncbi.nlm.nih.gov/35370503 $y Pubmed

910    __

$a ABA008 $b sig $c sign $y - $z 0

990    __

$a 20220718 $b ABA008

991    __

$a 20220720100238 $b ABA008

999    __

$a ind $b bmc $g 1816614 $s 1168733

BAS    __

$a 3

BAS    __

$a PreBMC

BMC    __

$a 2022 $b 24 $c Suppl B $d B10-B15 $e 20220330 $i 1520-765X $m European heart journal supplements $n Eur Heart J Suppl $x MED00005247

LZP    __

$a Pubmed-20220718