Potential Influential Factors of In-Hospital Myocardial Reinfarction in ST-Segment Elevation Myocardial Infarction (STEMI) Patients: Finding from the Improving Care for Cardiovascular Disease in China- (CCC-) Acute Coronary Syndrome (ACS) Project
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SUBMITTER: Cai X
PROVIDER: S-EPMC8514929 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:There has been a huge impact of the COVID-19 pandemic on global healthcare systems. Advisories across the world have appealed to people to stay at home and observe social distancing to slow down the pandemic. However it is important to realize as to how this is affecting acute cardiovascular care. Recent studies from Europe and USA have reported > 50% reduction in hospital admissions for ACS and declining rates of coronary interventions. The possible reasons for this noticeable reduction in patients with ACS/STEMI during the COVID-19 pandemic are multi-factorial. On one hand, it is due to change in thresholds for referring patients of ACS/STEMI for cardiac catheterization, with fibrinolysis being acceptable for many stable STEMI patients and conservative management being preferred for NSTEMI patients. Theories abound on how "staying at home" strategy may have led to an reduction in acute coronary events due to healthier lifestyle, better compliance and reduced stress. Realistically however, a more disquieting reason would be a "pseudo-reduction" ie. the incidence of ACS/STEMI is actually the same, but these patients are staying away from hospitals due to fear of contracting the infection. Lockdown restrictions have also limited transport options for patients seeking to reach hospitals in time. Healthcare systems need to be prepared for an anticipated downstream deluge of such untreated patients who may present with sequelae like heart failure, reinfarction, arrhythmias, mechanical complications etc. Scientific societies should have proactive campaigns to alleviate patient concerns, and encourage them to seek timely medical attention despite the COVID-19 pandemic.
| S-EPMC7261094 | biostudies-literature
Project description:Electrocardiogram is fundamental to diagnose ST-segment elevation myocardial infarction in patients with chest pain, other consistent symptoms, and/or echocardiographic abnormalities. Nevertheless, physicians should remember that other conditions can cause an ST-segment elevation myocardial infarction-like electrocardiogram. We exemplify this warning describing the case of an electrocardiogram mimicking ST-segment elevation myocardial infarction caused by severe dysionia. (Level of Difficulty: Beginner.).
| S-EPMC8310962 | biostudies-literature
Project description:ObjectiveWe aimed to investigate both the impact of COVID-19 pandemic on ST-segment elevation myocardial infarction (STEMI) admission, and demographic, angiographic, procedural characteristics, and in-hospital clinical outcomes of patients with COVID-19 positive STEMI in Turkey.MethodsThis was a multi-center and cross-sectional observational study. The study population included 1788 STEMI patients from 15 centers in Turkey. The patients were divided into two groups: COVID-19 era (March 11st-May 15st, 2020; n = 733) or pre- COVID-19 era group (March 11st-May 15st, 2019; n = 1055). Also, the patients in COVID-19 era were grouped as COVID-19 positive (n = 65) or negative (n = 668).ResultsThere was a 30.5% drop in STEMI admission during COVID-19 era in comparison to pre-COVID-19 era. The patients admitted to the medical centers during COVID-19 era had a longer symptom-to-first medical contact time [120 (75-240) vs. 100 (60-180) minutes, p < 0.001]. COVID-19 positive STEMI patients had higher thrombus grade and lower left ventricular ejection fraction compared to COVID-19 negative patients. COVID-19 positive patients had higher mortality (28% vs. 6%, p < 0.001) and cardiogenic shock (20% vs. 7%, p < 0.001) rates compared with those without COVID-19. Matching based on propensity scores showed higher mortality and high thrombus grade in STEMI patients who were infected by SARS-COV-2 (each p < 0.05).ConclusionsWe detected significantly lower STEMI hospitalization rates and significant delay in duration of symptom onset to first medical contact in the context of Turkey during the COVID-19 outbreak. Moreover, high thrombus grade and mortality were more common in COVID-19 positive STEMI patients.
| S-EPMC8164077 | biostudies-literature
Project description:IntroductionSuccessful ST-segment elevation myocardial infarction (STEMI) management is time-sensitive and is based on prompt reperfusion mainly to reduce patient mortality. It has evolved from a single hospital care to an integrated regional network approach over the last decades. This prospective study, named the China STEMI Care Project (CSCAP), aims to show how implementation of different types of integrated regional STEMI care networks can improve the reperfusion treatment rate, shorten the total duration of myocardial ischaemia and lead to mortality reduction step by step.Methods and analysisThe CSCAP is a prospective, multicentre registry study of three phases. A total of 18 provinces, 4 municipalities and 2 autonomous regions in China were included. Patients who meet the third universal definition of myocardial infarction and the Chinese STEMI diagnosis and treatment guidelines are enrolled. Phase 1 (CSCAP-1) focuses on the in-hospital process optimisation of primary percutaneous coronary intervention (PPCI) hospitals, phase 2 (CSCAP-2) focuses on the PPCI hospital-based regional STEMI care network construction together with emergency medical services and adjacent non-PPCI hospitals, while phase 3 (CSCAP-3) focuses on the whole-city STEMI care network construction by promoting chest pain centre accreditation. Systematic data collection, key performance index assessment and subsequent improvement are implemented throughout the project to continuously improve the quality of STEMI care.Ethics and disseminationThe study has been reviewed and approved by the Ethics Committee of Peking University First Hospital. Ranking reports of quality of care will be generated available to all participant affiliations. Results will be disseminated via peer-reviewed scientific journals and presentations at congresses.Trial registration numberNCT03821012.
| S-EPMC6661651 | biostudies-literature
Project description:Electrocardiogram (ECG) is an important tool for the detection of acute ST-segment elevation myocardial infarction (STEMI). However, machine learning (ML) for the diagnosis of STEMI complicated with arrhythmia and infarct-related arteries is still underdeveloped based on real-world data. Therefore, we aimed to develop an ML model using the Least Absolute Shrinkage and Selection Operator (LASSO) to automatically diagnose acute STEMI based on ECG features. A total of 318 patients with STEMI and 502 control subjects were enrolled from Jan 2017 to Jun 2019. Coronary angiography was performed. A total of 180 automatic ECG features of 12-lead ECG were input into the model. The LASSO regression model was trained and validated by the internal training dataset and tested by the internal and external testing datasets. A comparative test was performed between the LASSO regression model and different levels of doctors. To identify the STEMI and non-STEMI, the LASSO model retained 14 variables with AUCs of 0.94 and 0.93 in the internal and external testing datasets, respectively. The performance of LASSO regression was similar to that of experienced cardiologists (AUC: 0.92) but superior (p < 0.05) to internal medicine residents, medical interns, and emergency physicians. Furthermore, in terms of identifying left anterior descending (LAD) or non-LAD, LASSO regression achieved AUCs of 0.92 and 0.98 in the internal and external testing datasets, respectively. This LASSO regression model can achieve high accuracy in diagnosing STEMI and LAD vessel disease, thus providing an assisting diagnostic tool based on ECG, which may improve the early diagnosis of STEMI.
| S-EPMC9505979 | biostudies-literature
Project description:The present study explored patterns of circulating metabolites and proteins that can predict future risk for ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI). We conducted a prospective nested case-control study in northern Sweden in individuals who developed STEMI (N = 50) and NSTEMI (N = 50) within 5 years and individually matched controls (N = 100). Fasted plasma samples were subjected to multiplatform mass spectrometry-based metabolomics and multiplex protein analyses. Multivariate analyses were used to elucidate infarction-specific metabolite and protein risk profiles associated with future incident STEMI and NSTEMI. We found that altered lysophosphatidylcholine (LPC) to lysophosphatidylethanolamine (LPE) ratio predicted STEMI and NSTEMI events in different ways. In STEMI, lysophospholipids (mainly LPEs) were lower, whereas in NSTEMI, lysophospholipids (mainly LPEs) were higher. We found a similar response for all detected lysophospholipids but significant alterations only for those containing linoleic acid (C18:2, p < 0.05). Patients with STEMI had higher secretoglobin family 3A member 2 and tartrate-resistant acid phosphate type 5 and lower platelet-derived growth factor subunit A, which are proteins associated with atherosclerosis severity and plaque development mediated via altered phospholipid metabolism. In contrast, patients with NSTEMI had higher levels of proteins associated with inflammation and macrophage activation, including interleukin 6, C-reactive protein, chemerin, and cathepsin X and D. The STEMI risk marker profile includes factors closely related to the development of unstable plaque, including a higher LPC:LPE ratio, whereas NSTEMI is characterized by a lower LPC:LPE ratio and increased inflammation.
| S-EPMC7823877 | biostudies-literature
Project description:BackgroundNumerous studies have revealed the relationship between lipid expression and increased cardiovascular risk in ST-segment elevation myocardial infarction (STEMI) patients. Nevertheless, few investigations have focused on the risk stratification of STEMI patients using machine learning algorithms.MethodsA total of 1355 STEMI patients who underwent percutaneous coronary intervention were enrolled in this study during 2015-2018. Unsupervised machine learning (consensus clustering) was applied to the present cohort to classify patients into different lipid expression phenogroups, without the guidance of clinical outcomes. Kaplan-Meier curves were implemented to show prognosis during a 904-day median follow-up (interquartile range: 587-1316). In the adjusted Cox model, the association of cluster membership with all adverse events including all-cause mortality, all-cause rehospitalization, and cardiac rehospitalization was evaluated.ResultsAll patients were classified into three phenogroups, 1, 2, and 3. Patients in phenogroup 1 with the highest Lp(a) and the lowest HDL-C and apoA1 were recognized as the statin-modified cardiovascular risk group. Patients in phenogroup 2 had the highest HDL-C and apoA1 and the lowest TG, TC, LDL-C and apoB. Conversely, patients in phenogroup 3 had the highest TG, TC, LDL-C and apoB and the lowest Lp(a). Additionally, phenogroup 1 had the worst prognosis. Furthermore, a multivariate Cox analysis revealed that patients in phenogroup 1 were at significantly higher risk for all adverse outcomes.ConclusionMachine learning-based cluster analysis indicated that STEMI patients with increased concentrations of Lp(a) and decreased concentrations of HDL-C and apoA1 are likely to have adverse clinical outcomes due to statin-modified cardiovascular risks.Trial registrationChiCTR1900028516 ( http://www.chictr.org.cn/index.aspx ).
| S-EPMC8101132 | biostudies-literature
Project description:BACKGROUND:Cardiovascular disease including ST elevation myocardial infarction (STEMI) is increasing and the leading cause of death in China. There has been limited data available to characterize STEMI management and outcomes in rural areas of China. The Henan STEMI Registry is a regional STEMI project with the objectives to timely obtain real-world knowledge about STEMI patients in secondary and tertiary hospitals and to provide a platform for care quality improvement efforts in predominantly rural central China. METHODS:The Henan STEMI Registry is a multicentre, prospective and observational study for STEMI patients. The registry includes 66 participating hospitals (50 secondary hospitals; 16 tertiary hospitals) that cover 15 prefectures and one city direct-controlled by the province in Henan province. Patients were consecutively enrolled with a primary diagnosis of STEMI within 30 days of symptom onset. Clinical treatments, outcomes and cost are collected by local investigators and captured electronically, with a standardized set of variables and standard definitions, and rigorous data quality control. Post-discharge patient follow-up to 1 year is planned. As of August 2018, the Henan STEMI Registry has enrolled 5479 patients of STEMI. DISCUSSION:The Henan STEMI Registry represents the largest Chinese regional platform for clinical research and care quality improvement for STEMI. The board inclusion of secondary hospitals in Henan province will allow for the exploration of STEMI in predominantly rural central China. TRIAL REGISTRATION:[NCT02641262] [29 December, 2015].
| S-EPMC6883687 | biostudies-literature
Project description:BackgroundThere are limited data available on the impact of early (within 24 h of admission) β-blocker therapy on in-hospital outcomes of patients with ST-elevation myocardial infarction (STEMI) and mild-moderate acute heart failure. This study aimed to explore the association between early oral β-blocker therapy and in-hospital outcomes.MethodsInpatients with STEMI and Killip class II or III heart failure from the Improving Care for Cardiovascular Disease in China project (n = 10,239) were enrolled. The primary outcome was a combined endpoint composed of in-hospital all-cause mortality, successful cardiopulmonary resuscitation after cardiac arrest, and cardiogenic shock. Inverse-probability-of-treatment weighting, multivariate Cox regression, and propensity score matching were performed.ResultsEarly oral β-blocker therapy was administered to 56.5% of patients. The incidence of the combined endpoint events was significantly lower in patients with early therapy than in those without (2.7 vs. 5.1%, P < 0.001). Inverse-probability-of-treatment weighting analysis demonstrated that early β-blocker therapy was associated with a low risk of combined endpoint events (HR = 0.641, 95% CI: 0.486-0.844, P = 0.002). Similar results were shown in multivariate Cox regression (HR = 0.665, 95% CI: 0.496-0.894, P = 0.007) and propensity score matching (HR = 0.633, 95% CI: 0.453-0.884, P = 0.007) analyses. A dose-response trend between the first-day β-blocker dosages and adverse outcomes was observed in a subset of participants with available data. No factor could modify the association of early treatment and the primary outcomes among the subgroups analyses.ConclusionBased on nationwide Chinese data, early oral β-blocker therapy is independently associated with a lower risk of poor in-hospital outcome in patients with STEMI and Killip class II or III heart failure.
| S-EPMC9051227 | biostudies-literature
Project description:It is assumed that platelets in diseased conditions share similar properties to platelets in healthy conditions, although this has never been examined in detail for myocardial infarction (MI). We examined platelets from patients with ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) compared with platelets from healthy volunteers to evaluate for differences in platelet phenotype and function. Platelet activation was examined and postreceptor signal transduction pathways were assessed. Platelet-derived plasma biomarkers were evaluated by receiver operator characteristic curve analysis. Maximum platelet activation through the thromboxane receptor was greater in STEMI than in NSTEMI but less through protease-activated receptor 1. Extracellular-signal related-kinase 5 activation, which can activate platelets, was increased in platelets from subjects with STEMI and especially in platelets from patients with NSTEMI. Matrix metalloproteinase 9 (MMP9) protein content and enzymatic activity were several-fold greater in platelets with MI than in control. Mean plasma MMP9 concentration in patients with MI distinguished between STEMI and NSTEMI (area under curve [AUC] 75% [confidence interval (CI) 60-91], P = 0.006) which was superior to troponin T (AUC 66% [CI 48-85, P = 0.08), predicting STEMI with 80% sensitivity (95% CI 56-94), 90% specificity (CI 68-99), 70% AUC (CI 54-86, P < 0.0001), and NSTEMI with 50% sensitivity (CI 27-70), 90% specificity (CI 68-99), 70% AUC (CI 54-86, P = 0.03). Platelets from patients with STEMI and NSTEMI show differences in platelet surface receptor activation and postreceptor signal transduction, suggesting the healthy platelet phenotype in which antiplatelet agents are often evaluated in preclinical studies is different from platelets in patients with MI.
| S-EPMC5898983 | biostudies-literature