Abstract: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 … Show more
“…The relationship between some clinical predictors and in-hospital mortality have shown in many studies in patients with STEMI. The most known of these predictors are; elderly (age ≥65 years), acute heart failure (Killip class III-IV), heart rate, systolic blood pressure, total myocardial ischemia time ≥3 hours, anterior MI, failure of PCI, cardiac arrest, peripheral arterial disease, prior MI, prior CHF, SYNTAX scale score ≥16, elevated initial serum creatinine levels, glycemia on admission ≥7.78 mmol/l for patients without a history of diabetes mellitus (DM) and ≥14.35 mmol/l for patients with a history of DM [ 15 , 16 , 17 ]. The prognostic value of various hemogram parameters in predicting adverse outcomes of cardiovascular diseases is also well known [ 18 ].…”
Background: Despite effective interventional treatments, the mortality of acute ST-segment elevation myocardial infarction (STEMI) is still high. Several mortality predictors are known in STEMI. Platelet-tohemoglobin ratio (PHR) is a recently used mortality parameter in cardiac or non-cardiac diseases. We aim to investigate the relationship of PHR with in-hospital mortality in patients with STEMI.Methods: Eight hundred eighty-four patients were included in the study. All of them underwent coronary intervention due to STEMI. Demographic characteristics, laboratory, electrocardiographic and echocardiographic parameters were analyzed from hospital records. A cut-off value for PHR was determined using receiver operating characteristic (ROC) curve analysis. Then, patients were divided into two groups PHR < 1.99 and PHR ≥ 1.99. The data of both groups were compared.Results: The median age of the study population was 64 (54-75). Of these 633 (71.6 %) were male and 251 (28.4 %) were female. All cause mortality of the study population was 9.7% (n=86). In multivariable logistic regression analysis, PHR was independently associated with a significantly increased risk of in-hospital mortality for STEMI (
“…The relationship between some clinical predictors and in-hospital mortality have shown in many studies in patients with STEMI. The most known of these predictors are; elderly (age ≥65 years), acute heart failure (Killip class III-IV), heart rate, systolic blood pressure, total myocardial ischemia time ≥3 hours, anterior MI, failure of PCI, cardiac arrest, peripheral arterial disease, prior MI, prior CHF, SYNTAX scale score ≥16, elevated initial serum creatinine levels, glycemia on admission ≥7.78 mmol/l for patients without a history of diabetes mellitus (DM) and ≥14.35 mmol/l for patients with a history of DM [ 15 , 16 , 17 ]. The prognostic value of various hemogram parameters in predicting adverse outcomes of cardiovascular diseases is also well known [ 18 ].…”
Background: Despite effective interventional treatments, the mortality of acute ST-segment elevation myocardial infarction (STEMI) is still high. Several mortality predictors are known in STEMI. Platelet-tohemoglobin ratio (PHR) is a recently used mortality parameter in cardiac or non-cardiac diseases. We aim to investigate the relationship of PHR with in-hospital mortality in patients with STEMI.Methods: Eight hundred eighty-four patients were included in the study. All of them underwent coronary intervention due to STEMI. Demographic characteristics, laboratory, electrocardiographic and echocardiographic parameters were analyzed from hospital records. A cut-off value for PHR was determined using receiver operating characteristic (ROC) curve analysis. Then, patients were divided into two groups PHR < 1.99 and PHR ≥ 1.99. The data of both groups were compared.Results: The median age of the study population was 64 (54-75). Of these 633 (71.6 %) were male and 251 (28.4 %) were female. All cause mortality of the study population was 9.7% (n=86). In multivariable logistic regression analysis, PHR was independently associated with a significantly increased risk of in-hospital mortality for STEMI (
“…Лучшая информативность шкал определяется «географией» создания, так как они адаптированы к критериям включения и невключения, тактике ведения пациентов, материально-техническим возможностям и потоку госпитализируемых пациентов, имевшим место на момент разработки. Постоянно разрабатываются новые балльные системы, позволяющие прогнозировать осложнения при ОИМ [7]. Исследования, направленные на поиск «идеального показателя» ОРИГИНАЛЬНЫЕ СТАТЬИ § прогноза риска смерти для конкретного медицинского учреждения, адаптированного к его материально-технической базе и существующему потоку пациентов с ОКС, являются актуальной проблемой.…”
Aim To determine clinical and laboratory parameters associated with in-hospital mortality in patients with acute myocardial infarction and to develop a multifactorial prognostic model of in-hospital mortality.Material and methods This was a study based on the 2019-2020 Registry of acute coronary syndrome of the Tyumen Cardiology Research Center, a branch of the Tomsk National Research Medical Center. The study included 477 patients with ST-segment elevation acute myocardial infarction (AMI), 617 patients with non-ST segment elevation AMI, and 26 patients with unspecified AMI. In-hospital mortality was 6.0 % (n=67). Clinical and laboratory parameters were assessed on the day of admission. The separation power of indicators associated with in-hospital mortality was determined using a ROC analysis. The data array of each quantitative parameter was converted into a binary variable according to the obtained cut-off thresholds, followed by creation of a multifactorial model for predicting in-hospital mortality using a stepwise analysis with backward inclusion (Wald). The null hypothesis was rejected at p<0.05.Results The multivariate model for prediction of in-hospital mortality included age (cut-off, 72 years), OR 3.0 (95 % CI: 1.5-5.6); modified shock index (cut-off threshold, 0.87), OR 1.5 (95 % CI: 1.1-2.0); creatine phosphokinase-MB (cut-off threshold, 32.8 U / L), OR 4.1 (95 % CI: 2.2-7.7); hemoglobin (121.5 g / l), OR 1.7 (95 % CI: 1.2-2.3); leukocytes (11.5×109 / l), OR 1.9 (95 % CI: 1.3-2.6); glomerular filtration rate (60.9 ml / min), OR 1.7 (95 % CI: 1.2-2.2); left ventricular ejection fraction (42.5 %), OR 4.1 (95 % CI: 2.0-8.3); and size of myocardial asynergy (32.5 %), OR 2.6 (95 % CI: 1.4-5.0).Conclusions Independent predictors of in-hospital mortality in AMI are age, modified shock index, creatine phosphokinase-MB, peripheral blood leukocyte count, hemoglobin concentration, left ventricular ejection fraction, size of myocardial asynergy, and glomerular filtration rate. The in-hospital mortality model had a high predictive potential: AUC 0.930 (95 % CI: 0.905-0.954; p <0.001) with a cutoff threshold of 0.15; sensitivity 0.851, and specificity 0.850.
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