Dataset Information

Risk factors for in-hospital mortality in patients with acute myocardial infarction during the COVID-19 outbreak.

ABSTRACT:

Introduction and objectives

Despite advances in treatment, patients with acute myocardial infarction (AMI) still exhibit unfavorable short- and long-term prognoses. In addition, there is scant evidence about the clinical outcomes of patients with AMI and coronavirus disease 2019 (COVID-19). The objective of this study was to describe the clinical presentation, complications, and risk factors for mortality in patients admitted for AMI during the COVID-19 pandemic.

Methods

This prospective, multicenter, cohort study included all consecutive patients with AMI who underwent coronary angiography in a 30-day period corresponding chronologically with the COVID-19 outbreak (March 15 to April 15, 2020). Clinical presentations and outcomes were compared between COVID-19 and non-COVID-19 patients. The effect of COVID-19 on mortality was assessed by propensity score matching and with a multivariate logistic regression model.

Results

In total, 187 patients were admitted for AMI, 111 with ST-segment elevation AMI and 76 with non-ST-segment elevation AMI. Of these, 32 (17%) were diagnosed with COVID-19. GRACE score, Killip-Kimball classification, and several inflammatory markers were significantly higher in COVID-19-positive patients. Total and cardiovascular mortality were also significantly higher in COVID-19-positive patients (25% vs 3.8% [P <.001] and 15.2% vs 1.8% [P=.001], respectively). GRACE score> 140 (OR, 23.45; 95%CI, 2.52-62.51; P=.005) and COVID-19 (OR, 6.61; 95%CI, 1.82-24.43; P=.02) were independent predictors of in-hospital death.

Conclusions

During this pandemic, a high GRACE score and COVID-19 were independent risk factors associated with higher in-hospital mortality.

SUBMITTER: Solano-Lopez J

PROVIDER: S-EPMC7832619 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Risk factors for in-hospital mortality in patients with acute myocardial infarction during the COVID-19 outbreak.

Solano-López Jorge J Zamorano José Luis JL Pardo Sanz Ana A Amat-Santos Ignacio I Sarnago Fernando F Gutiérrez Ibañes Enrique E Sanchis Juan J Rey Blas Juan Ramón JR Gómez-Hospital Joan Antoni JA Santos Martínez Sandra S Maneiro-Melón Nicolás Manuel NM Mateos Gaitán Roberto R González D'Gregorio Jessika J Salido Luisa L Mestre José L JL Sanmartín Marcelo M Sánchez-Recalde Ángel Á

Revista espanola de cardiologia (English ed.) 20200731 12

<h4>Introduction and objectives</h4>Despite advances in treatment, patients with acute myocardial infarction (AMI) still exhibit unfavorable short- and long-term prognoses. In addition, there is scant evidence about the clinical outcomes of patients with AMI and coronavirus disease 2019 (COVID-19). The objective of this study was to describe the clinical presentation, complications, and risk factors for mortality in patients admitted for AMI during the COVID-19 pandemic.<h4>Methods</h4>This pros ...[more]

PMID: 32839121

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Project description:Despite recent improvements in survival after acute myocardial infarction (AMI), U.S. hospitals vary 2-fold in their 30-day risk-standardized mortality rates (RSMRs). Nevertheless, information is limited on hospital-level factors that may be associated with RSMRs.To identify hospital strategies that were associated with lower RSMRs.Cross-sectional survey of 537 hospitals (91% response rate) and weighted multivariate regression by using data from the Centers for Medicare & Medicaid Services to determine the associations between hospital strategies and hospital RSMRs.Acute care hospitals with an annualized AMI volume of at least 25 patients.Patients hospitalized with AMI between 1 January 2008 and 31 December 2009.Hospital performance improvement strategies, characteristics, and 30-day RSMRs.In multivariate analysis, several hospital strategies were significantly associated with lower RSMRs and in aggregate were associated with clinically important differences in RSMRs. These strategies included holding monthly meetings to review AMI cases between hospital clinicians and staff who transported patients to the hospital (RSMR lower by 0.70 percentage points), having cardiologists always on site (lower by 0.54 percentage points), fostering an organizational environment in which clinicians are encouraged to solve problems creatively (lower by 0.84 percentage points), not cross-training nurses from intensive care units for the cardiac catheterization laboratory (lower by 0.44 percentage points), and having physician and nurse champions rather than nurse champions alone (lower by 0.88 percentage points). Fewer than 10% of hospitals reported using at least 4 of these 5 strategies.The cross-sectional design demonstrates statistical associations but cannot establish causal relationships.Several strategies, which are currently implemented by relatively few hospitals, are associated with significantly lower 30-day RSMRs for patients with AMI.The Agency for Healthcare Research and Quality, the United Health Foundation, and the Commonwealth Fund.

Project description:ImportanceStudies of acute myocardial infarction (AMI) occurring outside the hospital have informed approaches to addressing risk, treatment, and patient outcomes. Similar insights for in-hospital AMI are lacking.ObjectiveTo determine the incidence, risk factors, and outcomes associated with in-hospital AMI.Design, setting, and participantsCohort, nested case-control, and matched cohort study of patients hospitalized in US Veterans Health Administration facilities between July 2007 and September 2009. The incidence of in-hospital AMI was determined from a complete cohort of in-hospital AMI relative to the total number of inpatient admissions. From the in-hospital AMI cohort, detailed medical record review was performed on 687 cases and 687 individually matched controls. Risk factors and outcomes associated with in-hospital AMI were determined from matched comparison of in-hospital AMI cases to hospitalized controls.ExposuresCandidate risk factors for in-hospital AMI included characteristics at the time of admission and in-hospital variables prior to the index date.Main outcomes and measuresIn the determination of the incidence and risk factors associated with in-hospital AMI, the outcome of interest was in-hospital AMI. All-cause mortality was the main outcome of interest following in-hospital AMI.ResultsA total of 5556 patients with in-hospital AMI (mean [SD] age, 73 [10] years; 5456 [98.2%] male) were identified among 1.3 million admissions, with an incidence of 4.27 in-hospital AMI events per 1000 admissions. Independent risk factors associated with in-hospital AMI included intensive care unit setting, history of coronary artery disease, heart rate greater than 100 beats/min, hemoglobin level less than 8 g/dL, and white blood cell count 14 000/μL or greater. Compared with the matched control group, mortality was significantly higher for patients with in-hospital AMI (in-hospital mortality, 26.4% vs 4.2%; 30-day mortality, 33.0% vs 10.0%; 1-year mortality, 59.2% vs 34.4%).Conclusions and relevanceIn-hospital AMI was common and associated with common cardiovascular risk factors and markers of acute illness. Patient outcomes following in-hospital AMI were poor, with 1-year mortality approaching 60%. Further study of in-hospital AMI may yield opportunities to reduce in-hospital AMI risk and improve patient outcomes.

Project description:AimsThis study aimed to evaluate the impact of coronavirus disease 2019 (Covid-19) outbreak on admissions for acute myocardial infarction (AMI) and related mortality, severity of presentation, major cardiac complications and outcome in a tertiary-care university hospital in Berlin, Germany.Methods and resultsIn a single-centre cross-sectional observational study, we included 355 patients with AMI containing ST-elevation or non-ST-elevation myocardial infarction (STEMI or NSTEMI), admitted for emergency cardiac catheterization between January and April 2020 and the equivalent time in 2019. During the early phase of the Covid-19 pandemic (e-COV) in Berlin (March and April 2020), admissions for AMI halved compared with those in the pre-Covid-19 time (January and February 2020; pre-COV) and with those in the corresponding months in 2019. However, mortality for AMI increased substantially from 5.2% pre-COV to 17.7% (P < 0.05) during e-COV. Severity of presentation for AMI was more pronounced during e-COV [increased levels of cardiac enzymes, reduced left ventricular ejection fraction (LVEF), an increase in the need of inotropic support by 25% (P < 0.01)], while patients' demographic and angiographic characteristics did not differ between pre-COV and e-COV. Time from symptom onset to first medical contact was prolonged in all AMI during e-COV (presentation > 72 h +21% in STEMI, p = 0.04 and presentation > 72 h in NSTEMI +22%, p = 0.02). Door to balloon time was similar in STEMI patients, while time from first medical contact to revascularization was significantly delayed in NSTEMI patients (p = 0.02). Major cardiac complications after AMI occurred significantly more often, and cardiac recovery was worse in e-COV than in pre-COV, demonstrated by a significantly lower LVEF (39 ± 16 vs. 46 ± 16, p < 0.05) at hospital discharge and substantially higher NTproBNP levels.ConclusionsThe Covid-19 outbreak affects hospital admissions for acute coronary syndromes. During the first phase of the pandemia, significantly less patients with AMI were admitted, but those admitted presented with a more severe phenotype and had a higher mortality, more complications, and a worse short-term outcome. Therefore, our data indicate that Covid-19 had relevant impact on non-infectious disease states, such as acute coronary syndromes.

Dataset Information

Risk factors for in-hospital mortality in patients with acute myocardial infarction during the COVID-19 outbreak.

Introduction and objectives

Methods

Results

Conclusions

Publications

Risk factors for in-hospital mortality in patients with acute myocardial infarction during the COVID-19 outbreak.

Similar Datasets

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