Hospitalization, major complications and mortality in acute myocardial infarction patients during the COVID-19 era: A systematic review and meta-analysis

Continued decline in the incidence of myocardial infarction beyond the COVID-19 pandemic: a nationwide study of the Swedish population aged 60 and older during 2015-2022

The number of myocardial infarctions declined during the early COVID-19 pandemic but mechanisms behind these declines are poorly understood. COVID-19 infection is also associated with an increased risk of myocardial infarction which could lead to higher incidence rates in the population. This study aims to shed light on the seemingly paradoxical relationship between COVID-19 and myocardial infarction occurrence on the population level by exploring long-term trends in incidence rates, case fatality, and proportion of patients dying before reaching a hospital. Our work is based on a linkage of administrative registers covering the entire population aged 60 + in Sweden. Considering both long-term trends since 2015 and seasonal variability, we compared observed incidence, case fatality, and proportions of patients hospitalized to expected values during 2020-2022. Despite more than 200 laboratory-confirmed COVID-19 cases per 1000 inhabitants by the end of 2022, incidence rates of myocardial infarction continued to decline, thus following the long-term trend observed already before 2020. During the first pandemic wave there was an additional incidence decline corresponding to 13% fewer myocardial infarctions than expected. This decline was neither accompanied by increasing case fatality nor by lower shares of patients being hospitalized. We found no increase in the population-level incidence of myocardial infarction despite large-scale exposure to COVID-19, which suggests that the effect of COVID-19 on myocardial infarction risk is not substantial. Increased pressure on the Swedish health care system has not led to increased risks or poorer outcomes for patients presenting with acute myocardial infarction.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Myocarditis mortality with and without COVID-19: insights from a national registry

BACKGROUND

Myocarditis in context of a SARS-CoV-2 infection is vividly discussed in the literature. Real-world data however are sparse, and relevance of the myocarditis diagnosis to outcome in coronavirus disease (COVID-19) is unclear.

PATIENTS AND METHODS

Retrospective analysis of 75,304 patients hospitalized in Germany with myocarditis between 2007 and 2020 is reported by DESTATIS. Patients hospitalized between 01/2016 and 12/2019 served as reference cohort for the COVID-19 patients hospitalized in 2020.

RESULTS

A total of 75,304 patients were hospitalized between 2007 and 2020 (age 42.5 years, 30.1% female, hospital mortality 2.4%). In the reference cohort, 24,474 patients (age 42.8 years, 29.5% female, hospital mortality 2.2%) were registered. In 2020, annual myocarditis hospitalizations dropped by 19.6% compared to reference (4921 vs. 6119 annual hospitalization), of which 443/4921 (9.0%) were connected to COVID-19. In 2020, hospital mortality of myocarditis in non-COVID-19 patients increased significantly compared to reference (2.9% vs. 2.2%, p = 0.008, OR 1.31, 95% CI 1.08-1.60). In COVID-19 myocarditis, hospital mortality was even higher compared to reference (13.5% vs. 2.2%, p < 0.001, OR 6.93, 95% CI 5.18-9.18).

CONCLUSION

The burden of patients with myocarditis and COVID-19 in 2020 was low. Hospital mortality was more than sixfold higher in patients with myocarditis and COVID-19 compared to those with myocarditis but without COVID-19.

Outcomes of ECMO support with polypropylene membrane during pandemic times: a retrospective cohort study

BACKGROUND

The SARS-CoV-2 pandemic resulted in shortages of supplies, which limited the use of extracorporeal membrane oxygenation (ECMO) support. As a contingency strategy, polypropylene (PP) oxygenation membranes were used. This study describes the clinical outcomes in patients on ECMO with PP compared to poly-methylpentene (PMP) oxygenation membranes.

METHODS

Retrospective cohort of patients in ECMO support admitted between 2020 and 2021.

RESULTS

A total of 152 patients with ECMO support were included, 71.05% were men with an average age of 42 (SD 9.91) years. Veno-venous configuration was performed in 75.6% of cases. The PP oxygenation membranes required more changes 22 (63.1%), than the PMP Sorin® 24 (32,8%) and Euroset® 15 (31,9%) (p.0.022). The main indication for membrane change was low oxygen transfer for PP at 56.2%, Sorin® at 50%, and Euroset® at 14.8%. Renal replacement therapy was the most frequent complication with PP membrane in 22 patients (68.7%) Sorin® 25 patients (34.2%), and Euroset® 15 patients (31.9%) (p 0.001) without statistically significant differences in mortality.

CONCLUSION

PP oxygenation membranes was a useful and feasible strategy. It allowed a greater disponibility of ECMO support for critically ill in a situation of great adversity during the SARS-CoV-2 pandemic.

Epidemiological, clinical, and economic burden of myocardial infarction patients in Iran during the COVID-19 pandemic

Background

To define changes in AMI case rates, patient demographics, cardiovascular comorbidities, treatment approaches, in-hospital outcomes, and the economic burden of COVID-19 during the pandemic.

Methods

We conducted a multicenter, observational survey with selected hospitals from three medical universities in Tehran city. A data collection tool consisting of three parts. The first part included socio-demographic information, and the second part included clinical information, major complications, and in-hospital mortality. Finally, the third part was related to the direct medical costs generated by AMI in COVID-19 and non-COVID-19 patients. The study cohort comprised 4,560 hospitalizations for AMI (2,935 for STEMI [64%] and 1,625 for NSTEMI [36%]).

Results

Of those hospitalized for AMI, 1,864 (76.6 %) and 1,659 (78 %) were male before the COVID-19 outbreak and during the COVID-19 era, respectively. The length of stay (LOS), was significantly lower during the COVID-19 pandemic era (4.27 ± 3.63 vs 5.24 ± 5.17, p = 0.00). Results showed that there were no significant differences in terms of patient risk factors across periods. A total of 2,126 AMIs were registered during the COVID-19 era, with a 12.65 % reduction (95 % CI 1.5-25.1) compared with the equivalent time in 2019 (P = 0.179). The risk of in-hospital mortality rate for AMI patients increased from 4.9 % in 2019 to 7.0 % in the COVID-19 era (OR = 1.42; 95 % CI 1.11-1.82; P = 0.004). Major complications were registered in 9.7 % of cases in 2020, which is higher than the rate of 6.6 % reported in 2019 (OR = 1.46, 95 % CI 1.11-1.82; P = 0.000). Total costs in hospitalized AMI-COVID patients averaged $188 more than in AMI patients (P = 0.020).

Conclusion

This cross-sectional study found important changes in AMI hospitalization rates, worse outcomes, and higher costs during the COVID-19 periods. Future studies are recommended to examine the long-term outcomes of hospitalized AMI patients during the COVID-19 era.

Machine learning prediction of mortality in Acute Myocardial Infarction

BACKGROUND

Acute Myocardial Infarction (AMI) is the leading cause of death in Portugal and globally. The present investigation created a model based on machine learning for predictive analysis of mortality in patients with AMI upon admission, using different variables to analyse their impact on predictive models.

METHODS

Three experiments were built for mortality in AMI in a Portuguese hospital between 2013 and 2015 using various machine learning techniques. The three experiments differed in the number and type of variables used. We used a discharged patients' episodes database, including administrative data, laboratory data, and cardiac and physiologic test results, whose primary diagnosis was AMI.

RESULTS

Results show that for Experiment 1, Stochastic Gradient Descent was more suitable than the other classification models, with a classification accuracy of 80%, a recall of 77%, and a discriminatory capacity with an AUC of 79%. Adding new variables to the models increased AUC in Experiment 2 to 81% for the Support Vector Machine method. In Experiment 3, we obtained an AUC, in Stochastic Gradient Descent, of 88% and a recall of 80%. These results were obtained when applying feature selection and the SMOTE technique to overcome imbalanced data.

CONCLUSIONS

Our results show that the introduction of new variables, namely laboratory data, impacts the performance of the methods, reinforcing the premise that no single approach is adapted to all situations regarding AMI mortality prediction. Instead, they must be selected, considering the context and the information available. Integrating Artificial Intelligence (AI) and machine learning with clinical decision-making can transform care, making clinical practice more efficient, faster, personalised, and effective. AI emerges as an alternative to traditional models since it has the potential to explore large amounts of information automatically and systematically.

A 3-year analysis of the impact of COVID-19 pandemic on NSTEMI incidence, clinical characteristics, management, and outcomes

OBJECTIVE

The COVID-19 pandemic has been associated with decreased incidence of acute coronary syndrome with worsened outcomes. Few studies have addressed the effects beyond the initial phases of the pandemic. This study elucidated the incidence, clinical characteristics, management, and outcomes of NSTEMI at a tertiary referral center from sample time periods of 2019-2022.

METHODS

This study included consecutive NSTEMI patients from March 14-May 9, 2019-2022. Variables included baseline characteristics, clinical features on arrival, management strategy, time parameters, and adverse outcomes. The primary outcome was defined as death, heart failure requiring diuretics, and/or sustained ventricular arrhythmia.

RESULTS

This study comprised 250 patients of whom 181 who were admitted during the COVID-19 outbreak. Baseline characteristics were similar among groups. There was a reduction in door-to-angiography time from 29 h in 2019 to 19 h in 2020 [p = 0.01] and 20 h in 2021 [p = 0.02]. PCI intervention increased from 31.8% in 2019% to 50.0% in 2020 [p = 0.05] and 54.7% in 2021 [p < 0.01]. Median length-of-stay (LOS) was reduced from 3 days in 2019 to 2 days in 2020 [p = 0.03]. There was no significant change in outcomes in COVID-19 cohorts compared to control year.

CONCLUSIONS

NSTEMI patients during the first 2 years of the COVID-19 pandemic were associated with reduced door-to-angiography times and increased percutaneous coronary intervention (PCI), and patients in year one were associated with reduced LOS. This study suggests that NSTEMI may be managed more efficiently thus reducing hospital bed utilization and potential costs.

A novel circulating biomarker lnc-MALAT1 for acute myocardial infarction: Its relationship with disease risk, features, cytokines, and major adverse cardiovascular events

OBJECTIVE

Long noncoding RNA MALAT1 (lnc-MALAT1) modulates atherosclerotic progression, myocardial ischemia injury, and systematic inflammation, which may be closely involved in acute myocardial infarction (AMI) pathogenesis. Thus, the current study intended to explore the relationship of lnc-MALAT1 to disease risk, features, cytokines, and prognostication in AMI patients.

METHODS

This multicenter study consecutively enrolled 160 newly diagnosed AMI patients and 50 controls (angina pectoris patients). Their peripheral blood mononuclear cells were obtained to measure lnc-MALAT1 by RT-qPCR. Serum cytokines in AMI patients were detected by ELISA. In addition, AMI patients were followed up for major adverse cardiovascular event (MACE) risk evaluation.

RESULTS

Lnc-MALAT1 was higher in AMI patients than in controls (median: 2.245 vs. 0.996, p = 0.004), and it also presented a good capacity for differentiating AMI patients from controls with an area under the curve of 0.823. Lnc-MALAT1 was positively related to C-reactive protein (p = 0.005), low-density lipoprotein cholesterol (p = 0.022), cardiac troponin I (p = 0.021), and infarct size (p = 0.007), but not other biochemical indexes in AMI patients. Meanwhile, lnc-MALAT1 was positively associated with tumor necrosis factor-alpha (p = 0.001), interleukin (IL)-6 (p = 0.031), IL-17A (p = 0.042), vascular cell adhesion molecule-1 (p = 0.004), and intercellular adhesion molecule-1 (p = 0.021) among AMI patients. Importantly, after categorization, lnc-MALAT1 high (vs. low) was related to an elevated MACE accumulation rate (p = 0.035); furthermore, a higher lnc-MALAT1 quartile showed a trend to be linked with an increased MACE accumulation rate (p = 0.092).

CONCLUSION

Lnc-MALAT1 may serve as a biomarker for AMI risk, infarct size, inflammation and prognosis, but further validation by large-scale studies is needed.

Iran's Struggling Health System in the Policy of Managing the COVID-19 Pandemic

BACKGROUND

Infectious diseases are one of the most important problems that affect the whole world. The World Health Organization (WHO), an active health organization, has identified coronavirus disease 19 (COVID-19) as a public health emergency and advises governments not to waste time on effective measures and interventions to attack and suppress the virus. In Iran, so far, the total number of screening tests has exceeded 21 million tests and more than 5 million doses of vaccine have been injected. However, we are still far from controlling the epidemic wave. Given the current situation, it is necessary to identify the challenges of managing the new coronavirus epidemic (COVID-19) in the country's medical universities.

METHODS

This qualitative study was conducted from January 2020 to January 2021 to explore the views of a group of service providers and staff managers of medical universities who were selected via purposeful sampling (n = 47). Data were collected through semi-structured interviews and analyzed using Graneheim and Lundman's conventional content analysis methods. The trial version of MAXQDA 16 software was used to manage the coding process.

RESULTS

Upon analysis of data by service providers and staff managers of medical universities, five main themes including governance and leadership, service delivery, human resources, medicine and technology, and financing and 15 sub-themes including management and leadership, culture and society, process, infrastructure, manpower, training and skills, mental pressure, work pressure, nutrition, safety, employee motivation, medical equipment, medicine, payment, and funds were found.

CONCLUSIONS

Identification of the most important challenges of service providers and staff managers can play an important role in improving the management of the new coronavirus epidemic (COVID-19). It seems that in order to solve some of these challenges, coordination is needed outside the field of health, and considering the formation of the National Corona Headquarters at the national level, it is possible to use this infrastructure to provide the necessary policies and strategies.

Ongoing COVID-19 Pandemic Effects on Admissions and In-Hospital Outcomes in Patients With ST-Elevation Myocardial Infarction (STEMI): An Albanian Observational Study

Background

Multiple studies conducted worldwide and in Albania documented an important reduction of acute ST-elevation myocardial infarction (STEMI) admissions during the Coronavirus Disease 19 (COVID-19) pandemic. There are few studies regarding STEMI admissions and outcomes during the ongoing pandemic after the initial lockdown. We aimed to study STEMI admissions and in-hospital outcomes after the COVID-19 lockdown period.

Methods

A retrospective single-center study was conducted, collecting data for all consecutive STEMI admissions from March 9th, (the first COVID-19 case) until April 30^th, the corresponding period of 2020 total lockdown, for years 2019 and 2021. The control period was considered the year 2019 [pre-pandemic (PP)] and the study period was in 2021 [ongoing pandemic (OP)]. The incidence rate ratio (IRR) 95% confidence interval (CI) was used to compare all-STEMI admissions, invasive procedures, and risk ratio (RR) 95% CI to compare the mortality and complications rate between the study and control period.

Results

The study included 217 STEMI patients admitted in 2019, and 234 patients during the 2021 period. The overall-STEMI admissions IRR is in a similar range during the 2021 OP compared to the 2019 PP period IRR=1.07 (95%CI 0.90-1.28). Similar invasive procedures were observed during OP compared to PP period, respectively for coronary-angiography IRR= 1.07; (0.87-1.31), for all-PCI [1.12 (0.92-1.35)], and primary percutaneous coronary interventions (PCI) [1.09 (0.89-1.34)]. The STEMI death rate during OP compared to PP period was similar (7.3 vs. 7.4%), RR=1.01 (0.53-1.96), and a non-significant lower primary-PCI-death rate (4.0 vs 4.8%), RR= 0.83 (0.30-2.3)].

Conclusions

After the initial reduction of admissions and invasive procedures in STEMI patients during the 2020 lockdown period and the increase of all-STEMI mortality, the number of hospitalizations, invasive procedures, and mortality returned to a similar range during OP compared to the PP period despite a highly incident ongoing COVID-19 pandemic.